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Google Cloud Native v0.32.0 published on Wednesday, Nov 29, 2023 by Pulumi
google-native.dlp/v2.DlpJob
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Google Cloud Native is in preview. Google Cloud Classic is fully supported.
Google Cloud Native v0.32.0 published on Wednesday, Nov 29, 2023 by Pulumi
Creates a new job to inspect storage or calculate risk metrics. See https://cloud.google.com/dlp/docs/inspecting-storage and https://cloud.google.com/dlp/docs/compute-risk-analysis to learn more. When no InfoTypes or CustomInfoTypes are specified in inspect jobs, the system will automatically choose what detectors to run. By default this may be all types, but may change over time as detectors are updated. Auto-naming is currently not supported for this resource.
Create DlpJob Resource
Resources are created with functions called constructors. To learn more about declaring and configuring resources, see Resources.
Constructor syntax
new DlpJob(name: string, args?: DlpJobArgs, opts?: CustomResourceOptions);@overload
def DlpJob(resource_name: str,
args: Optional[DlpJobArgs] = None,
opts: Optional[ResourceOptions] = None)
@overload
def DlpJob(resource_name: str,
opts: Optional[ResourceOptions] = None,
inspect_job: Optional[GooglePrivacyDlpV2InspectJobConfigArgs] = None,
job_id: Optional[str] = None,
location: Optional[str] = None,
project: Optional[str] = None,
risk_job: Optional[GooglePrivacyDlpV2RiskAnalysisJobConfigArgs] = None)func NewDlpJob(ctx *Context, name string, args *DlpJobArgs, opts ...ResourceOption) (*DlpJob, error)public DlpJob(string name, DlpJobArgs? args = null, CustomResourceOptions? opts = null)
public DlpJob(String name, DlpJobArgs args)
public DlpJob(String name, DlpJobArgs args, CustomResourceOptions options)
type: google-native:dlp/v2:DlpJob
properties: # The arguments to resource properties.
options: # Bag of options to control resource's behavior.
Parameters
- name string
- The unique name of the resource.
- args DlpJobArgs
- The arguments to resource properties.
- opts CustomResourceOptions
- Bag of options to control resource's behavior.
- resource_name str
- The unique name of the resource.
- args DlpJobArgs
- The arguments to resource properties.
- opts ResourceOptions
- Bag of options to control resource's behavior.
- ctx Context
- Context object for the current deployment.
- name string
- The unique name of the resource.
- args DlpJobArgs
- The arguments to resource properties.
- opts ResourceOption
- Bag of options to control resource's behavior.
- name string
- The unique name of the resource.
- args DlpJobArgs
- The arguments to resource properties.
- opts CustomResourceOptions
- Bag of options to control resource's behavior.
- name String
- The unique name of the resource.
- args DlpJobArgs
- The arguments to resource properties.
- options CustomResourceOptions
- Bag of options to control resource's behavior.
Example
The following reference example uses placeholder values for all input properties.
var dlpJobResource = new GoogleNative.DLP.V2.DlpJob("dlpJobResource", new()
{
InspectJob = new GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2InspectJobConfigArgs
{
Actions = new[]
{
new GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2ActionArgs
{
Deidentify = new GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2DeidentifyArgs
{
CloudStorageOutput = "string",
FileTypesToTransform = new[]
{
GoogleNative.DLP.V2.GooglePrivacyDlpV2DeidentifyFileTypesToTransformItem.FileTypeUnspecified,
},
TransformationConfig = new GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2TransformationConfigArgs
{
DeidentifyTemplate = "string",
ImageRedactTemplate = "string",
StructuredDeidentifyTemplate = "string",
},
TransformationDetailsStorageConfig = new GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2TransformationDetailsStorageConfigArgs
{
Table = new GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2BigQueryTableArgs
{
DatasetId = "string",
Project = "string",
TableId = "string",
},
},
},
JobNotificationEmails = null,
PubSub = new GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2PublishToPubSubArgs
{
Topic = "string",
},
PublishFindingsToCloudDataCatalog = null,
PublishSummaryToCscc = null,
PublishToStackdriver = null,
SaveFindings = new GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2SaveFindingsArgs
{
OutputConfig = new GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2OutputStorageConfigArgs
{
OutputSchema = GoogleNative.DLP.V2.GooglePrivacyDlpV2OutputStorageConfigOutputSchema.OutputSchemaUnspecified,
Table = new GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2BigQueryTableArgs
{
DatasetId = "string",
Project = "string",
TableId = "string",
},
},
},
},
},
InspectConfig = new GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2InspectConfigArgs
{
CustomInfoTypes = new[]
{
new GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2CustomInfoTypeArgs
{
DetectionRules = new[]
{
new GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2DetectionRuleArgs
{
HotwordRule = new GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2HotwordRuleArgs
{
HotwordRegex = new GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2RegexArgs
{
GroupIndexes = new[]
{
0,
},
Pattern = "string",
},
LikelihoodAdjustment = new GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2LikelihoodAdjustmentArgs
{
FixedLikelihood = GoogleNative.DLP.V2.GooglePrivacyDlpV2LikelihoodAdjustmentFixedLikelihood.LikelihoodUnspecified,
RelativeLikelihood = 0,
},
Proximity = new GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2ProximityArgs
{
WindowAfter = 0,
WindowBefore = 0,
},
},
},
},
Dictionary = new GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2DictionaryArgs
{
CloudStoragePath = new GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2CloudStoragePathArgs
{
Path = "string",
},
WordList = new GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2WordListArgs
{
Words = new[]
{
"string",
},
},
},
ExclusionType = GoogleNative.DLP.V2.GooglePrivacyDlpV2CustomInfoTypeExclusionType.ExclusionTypeUnspecified,
InfoType = new GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2InfoTypeArgs
{
Name = "string",
SensitivityScore = new GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2SensitivityScoreArgs
{
Score = GoogleNative.DLP.V2.GooglePrivacyDlpV2SensitivityScoreScore.SensitivityScoreUnspecified,
},
Version = "string",
},
Likelihood = GoogleNative.DLP.V2.GooglePrivacyDlpV2CustomInfoTypeLikelihood.LikelihoodUnspecified,
Regex = new GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2RegexArgs
{
GroupIndexes = new[]
{
0,
},
Pattern = "string",
},
SensitivityScore = new GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2SensitivityScoreArgs
{
Score = GoogleNative.DLP.V2.GooglePrivacyDlpV2SensitivityScoreScore.SensitivityScoreUnspecified,
},
StoredType = new GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2StoredTypeArgs
{
CreateTime = "string",
Name = "string",
},
SurrogateType = null,
},
},
ExcludeInfoTypes = false,
IncludeQuote = false,
InfoTypes = new[]
{
new GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2InfoTypeArgs
{
Name = "string",
SensitivityScore = new GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2SensitivityScoreArgs
{
Score = GoogleNative.DLP.V2.GooglePrivacyDlpV2SensitivityScoreScore.SensitivityScoreUnspecified,
},
Version = "string",
},
},
Limits = new GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2FindingLimitsArgs
{
MaxFindingsPerInfoType = new[]
{
new GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2InfoTypeLimitArgs
{
InfoType = new GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2InfoTypeArgs
{
Name = "string",
SensitivityScore = new GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2SensitivityScoreArgs
{
Score = GoogleNative.DLP.V2.GooglePrivacyDlpV2SensitivityScoreScore.SensitivityScoreUnspecified,
},
Version = "string",
},
MaxFindings = 0,
},
},
MaxFindingsPerItem = 0,
MaxFindingsPerRequest = 0,
},
MinLikelihood = GoogleNative.DLP.V2.GooglePrivacyDlpV2InspectConfigMinLikelihood.LikelihoodUnspecified,
MinLikelihoodPerInfoType = new[]
{
new GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2InfoTypeLikelihoodArgs
{
InfoType = new GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2InfoTypeArgs
{
Name = "string",
SensitivityScore = new GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2SensitivityScoreArgs
{
Score = GoogleNative.DLP.V2.GooglePrivacyDlpV2SensitivityScoreScore.SensitivityScoreUnspecified,
},
Version = "string",
},
MinLikelihood = GoogleNative.DLP.V2.GooglePrivacyDlpV2InfoTypeLikelihoodMinLikelihood.LikelihoodUnspecified,
},
},
RuleSet = new[]
{
new GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2InspectionRuleSetArgs
{
InfoTypes = new[]
{
new GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2InfoTypeArgs
{
Name = "string",
SensitivityScore = new GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2SensitivityScoreArgs
{
Score = GoogleNative.DLP.V2.GooglePrivacyDlpV2SensitivityScoreScore.SensitivityScoreUnspecified,
},
Version = "string",
},
},
Rules = new[]
{
new GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2InspectionRuleArgs
{
ExclusionRule = new GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2ExclusionRuleArgs
{
Dictionary = new GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2DictionaryArgs
{
CloudStoragePath = new GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2CloudStoragePathArgs
{
Path = "string",
},
WordList = new GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2WordListArgs
{
Words = new[]
{
"string",
},
},
},
ExcludeByHotword = new GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2ExcludeByHotwordArgs
{
HotwordRegex = new GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2RegexArgs
{
GroupIndexes = new[]
{
0,
},
Pattern = "string",
},
Proximity = new GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2ProximityArgs
{
WindowAfter = 0,
WindowBefore = 0,
},
},
ExcludeInfoTypes = new GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2ExcludeInfoTypesArgs
{
InfoTypes = new[]
{
new GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2InfoTypeArgs
{
Name = "string",
SensitivityScore = new GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2SensitivityScoreArgs
{
Score = GoogleNative.DLP.V2.GooglePrivacyDlpV2SensitivityScoreScore.SensitivityScoreUnspecified,
},
Version = "string",
},
},
},
MatchingType = GoogleNative.DLP.V2.GooglePrivacyDlpV2ExclusionRuleMatchingType.MatchingTypeUnspecified,
Regex = new GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2RegexArgs
{
GroupIndexes = new[]
{
0,
},
Pattern = "string",
},
},
HotwordRule = new GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2HotwordRuleArgs
{
HotwordRegex = new GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2RegexArgs
{
GroupIndexes = new[]
{
0,
},
Pattern = "string",
},
LikelihoodAdjustment = new GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2LikelihoodAdjustmentArgs
{
FixedLikelihood = GoogleNative.DLP.V2.GooglePrivacyDlpV2LikelihoodAdjustmentFixedLikelihood.LikelihoodUnspecified,
RelativeLikelihood = 0,
},
Proximity = new GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2ProximityArgs
{
WindowAfter = 0,
WindowBefore = 0,
},
},
},
},
},
},
},
InspectTemplateName = "string",
StorageConfig = new GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2StorageConfigArgs
{
BigQueryOptions = new GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2BigQueryOptionsArgs
{
ExcludedFields = new[]
{
new GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2FieldIdArgs
{
Name = "string",
},
},
IdentifyingFields = new[]
{
new GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2FieldIdArgs
{
Name = "string",
},
},
IncludedFields = new[]
{
new GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2FieldIdArgs
{
Name = "string",
},
},
RowsLimit = "string",
RowsLimitPercent = 0,
SampleMethod = GoogleNative.DLP.V2.GooglePrivacyDlpV2BigQueryOptionsSampleMethod.SampleMethodUnspecified,
TableReference = new GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2BigQueryTableArgs
{
DatasetId = "string",
Project = "string",
TableId = "string",
},
},
CloudStorageOptions = new GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2CloudStorageOptionsArgs
{
BytesLimitPerFile = "string",
BytesLimitPerFilePercent = 0,
FileSet = new GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2FileSetArgs
{
RegexFileSet = new GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2CloudStorageRegexFileSetArgs
{
BucketName = "string",
ExcludeRegex = new[]
{
"string",
},
IncludeRegex = new[]
{
"string",
},
},
Url = "string",
},
FileTypes = new[]
{
GoogleNative.DLP.V2.GooglePrivacyDlpV2CloudStorageOptionsFileTypesItem.FileTypeUnspecified,
},
FilesLimitPercent = 0,
SampleMethod = GoogleNative.DLP.V2.GooglePrivacyDlpV2CloudStorageOptionsSampleMethod.SampleMethodUnspecified,
},
DatastoreOptions = new GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2DatastoreOptionsArgs
{
Kind = new GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2KindExpressionArgs
{
Name = "string",
},
PartitionId = new GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2PartitionIdArgs
{
NamespaceId = "string",
Project = "string",
},
},
HybridOptions = new GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2HybridOptionsArgs
{
Description = "string",
Labels =
{
{ "string", "string" },
},
RequiredFindingLabelKeys = new[]
{
"string",
},
TableOptions = new GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2TableOptionsArgs
{
IdentifyingFields = new[]
{
new GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2FieldIdArgs
{
Name = "string",
},
},
},
},
TimespanConfig = new GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2TimespanConfigArgs
{
EnableAutoPopulationOfTimespanConfig = false,
EndTime = "string",
StartTime = "string",
TimestampField = new GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2FieldIdArgs
{
Name = "string",
},
},
},
},
JobId = "string",
Project = "string",
RiskJob = new GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2RiskAnalysisJobConfigArgs
{
Actions = new[]
{
new GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2ActionArgs
{
Deidentify = new GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2DeidentifyArgs
{
CloudStorageOutput = "string",
FileTypesToTransform = new[]
{
GoogleNative.DLP.V2.GooglePrivacyDlpV2DeidentifyFileTypesToTransformItem.FileTypeUnspecified,
},
TransformationConfig = new GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2TransformationConfigArgs
{
DeidentifyTemplate = "string",
ImageRedactTemplate = "string",
StructuredDeidentifyTemplate = "string",
},
TransformationDetailsStorageConfig = new GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2TransformationDetailsStorageConfigArgs
{
Table = new GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2BigQueryTableArgs
{
DatasetId = "string",
Project = "string",
TableId = "string",
},
},
},
JobNotificationEmails = null,
PubSub = new GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2PublishToPubSubArgs
{
Topic = "string",
},
PublishFindingsToCloudDataCatalog = null,
PublishSummaryToCscc = null,
PublishToStackdriver = null,
SaveFindings = new GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2SaveFindingsArgs
{
OutputConfig = new GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2OutputStorageConfigArgs
{
OutputSchema = GoogleNative.DLP.V2.GooglePrivacyDlpV2OutputStorageConfigOutputSchema.OutputSchemaUnspecified,
Table = new GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2BigQueryTableArgs
{
DatasetId = "string",
Project = "string",
TableId = "string",
},
},
},
},
},
PrivacyMetric = new GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2PrivacyMetricArgs
{
CategoricalStatsConfig = new GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2CategoricalStatsConfigArgs
{
Field = new GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2FieldIdArgs
{
Name = "string",
},
},
DeltaPresenceEstimationConfig = new GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2DeltaPresenceEstimationConfigArgs
{
QuasiIds = new[]
{
new GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2QuasiIdArgs
{
Field = new GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2FieldIdArgs
{
Name = "string",
},
CustomTag = "string",
Inferred = null,
InfoType = new GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2InfoTypeArgs
{
Name = "string",
SensitivityScore = new GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2SensitivityScoreArgs
{
Score = GoogleNative.DLP.V2.GooglePrivacyDlpV2SensitivityScoreScore.SensitivityScoreUnspecified,
},
Version = "string",
},
},
},
AuxiliaryTables = new[]
{
new GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2StatisticalTableArgs
{
QuasiIds = new[]
{
new GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2QuasiIdentifierFieldArgs
{
CustomTag = "string",
Field = new GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2FieldIdArgs
{
Name = "string",
},
},
},
RelativeFrequency = new GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2FieldIdArgs
{
Name = "string",
},
Table = new GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2BigQueryTableArgs
{
DatasetId = "string",
Project = "string",
TableId = "string",
},
},
},
RegionCode = "string",
},
KAnonymityConfig = new GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2KAnonymityConfigArgs
{
EntityId = new GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2EntityIdArgs
{
Field = new GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2FieldIdArgs
{
Name = "string",
},
},
QuasiIds = new[]
{
new GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2FieldIdArgs
{
Name = "string",
},
},
},
KMapEstimationConfig = new GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2KMapEstimationConfigArgs
{
QuasiIds = new[]
{
new GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2TaggedFieldArgs
{
Field = new GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2FieldIdArgs
{
Name = "string",
},
CustomTag = "string",
Inferred = null,
InfoType = new GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2InfoTypeArgs
{
Name = "string",
SensitivityScore = new GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2SensitivityScoreArgs
{
Score = GoogleNative.DLP.V2.GooglePrivacyDlpV2SensitivityScoreScore.SensitivityScoreUnspecified,
},
Version = "string",
},
},
},
AuxiliaryTables = new[]
{
new GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2AuxiliaryTableArgs
{
QuasiIds = new[]
{
new GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2QuasiIdFieldArgs
{
CustomTag = "string",
Field = new GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2FieldIdArgs
{
Name = "string",
},
},
},
RelativeFrequency = new GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2FieldIdArgs
{
Name = "string",
},
Table = new GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2BigQueryTableArgs
{
DatasetId = "string",
Project = "string",
TableId = "string",
},
},
},
RegionCode = "string",
},
LDiversityConfig = new GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2LDiversityConfigArgs
{
QuasiIds = new[]
{
new GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2FieldIdArgs
{
Name = "string",
},
},
SensitiveAttribute = new GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2FieldIdArgs
{
Name = "string",
},
},
NumericalStatsConfig = new GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2NumericalStatsConfigArgs
{
Field = new GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2FieldIdArgs
{
Name = "string",
},
},
},
SourceTable = new GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2BigQueryTableArgs
{
DatasetId = "string",
Project = "string",
TableId = "string",
},
},
});
example, err := dlp.NewDlpJob(ctx, "dlpJobResource", &dlp.DlpJobArgs{
InspectJob: &dlp.GooglePrivacyDlpV2InspectJobConfigArgs{
Actions: dlp.GooglePrivacyDlpV2ActionArray{
&dlp.GooglePrivacyDlpV2ActionArgs{
Deidentify: &dlp.GooglePrivacyDlpV2DeidentifyArgs{
CloudStorageOutput: pulumi.String("string"),
FileTypesToTransform: dlp.GooglePrivacyDlpV2DeidentifyFileTypesToTransformItemArray{
dlp.GooglePrivacyDlpV2DeidentifyFileTypesToTransformItemFileTypeUnspecified,
},
TransformationConfig: &dlp.GooglePrivacyDlpV2TransformationConfigArgs{
DeidentifyTemplate: pulumi.String("string"),
ImageRedactTemplate: pulumi.String("string"),
StructuredDeidentifyTemplate: pulumi.String("string"),
},
TransformationDetailsStorageConfig: &dlp.GooglePrivacyDlpV2TransformationDetailsStorageConfigArgs{
Table: &dlp.GooglePrivacyDlpV2BigQueryTableArgs{
DatasetId: pulumi.String("string"),
Project: pulumi.String("string"),
TableId: pulumi.String("string"),
},
},
},
JobNotificationEmails: nil,
PubSub: &dlp.GooglePrivacyDlpV2PublishToPubSubArgs{
Topic: pulumi.String("string"),
},
PublishFindingsToCloudDataCatalog: nil,
PublishSummaryToCscc: nil,
PublishToStackdriver: nil,
SaveFindings: &dlp.GooglePrivacyDlpV2SaveFindingsArgs{
OutputConfig: &dlp.GooglePrivacyDlpV2OutputStorageConfigArgs{
OutputSchema: dlp.GooglePrivacyDlpV2OutputStorageConfigOutputSchemaOutputSchemaUnspecified,
Table: &dlp.GooglePrivacyDlpV2BigQueryTableArgs{
DatasetId: pulumi.String("string"),
Project: pulumi.String("string"),
TableId: pulumi.String("string"),
},
},
},
},
},
InspectConfig: &dlp.GooglePrivacyDlpV2InspectConfigArgs{
CustomInfoTypes: dlp.GooglePrivacyDlpV2CustomInfoTypeArray{
&dlp.GooglePrivacyDlpV2CustomInfoTypeArgs{
DetectionRules: dlp.GooglePrivacyDlpV2DetectionRuleArray{
&dlp.GooglePrivacyDlpV2DetectionRuleArgs{
HotwordRule: &dlp.GooglePrivacyDlpV2HotwordRuleArgs{
HotwordRegex: &dlp.GooglePrivacyDlpV2RegexArgs{
GroupIndexes: pulumi.IntArray{
pulumi.Int(0),
},
Pattern: pulumi.String("string"),
},
LikelihoodAdjustment: &dlp.GooglePrivacyDlpV2LikelihoodAdjustmentArgs{
FixedLikelihood: dlp.GooglePrivacyDlpV2LikelihoodAdjustmentFixedLikelihoodLikelihoodUnspecified,
RelativeLikelihood: pulumi.Int(0),
},
Proximity: &dlp.GooglePrivacyDlpV2ProximityArgs{
WindowAfter: pulumi.Int(0),
WindowBefore: pulumi.Int(0),
},
},
},
},
Dictionary: &dlp.GooglePrivacyDlpV2DictionaryArgs{
CloudStoragePath: &dlp.GooglePrivacyDlpV2CloudStoragePathArgs{
Path: pulumi.String("string"),
},
WordList: &dlp.GooglePrivacyDlpV2WordListArgs{
Words: pulumi.StringArray{
pulumi.String("string"),
},
},
},
ExclusionType: dlp.GooglePrivacyDlpV2CustomInfoTypeExclusionTypeExclusionTypeUnspecified,
InfoType: &dlp.GooglePrivacyDlpV2InfoTypeArgs{
Name: pulumi.String("string"),
SensitivityScore: &dlp.GooglePrivacyDlpV2SensitivityScoreArgs{
Score: dlp.GooglePrivacyDlpV2SensitivityScoreScoreSensitivityScoreUnspecified,
},
Version: pulumi.String("string"),
},
Likelihood: dlp.GooglePrivacyDlpV2CustomInfoTypeLikelihoodLikelihoodUnspecified,
Regex: &dlp.GooglePrivacyDlpV2RegexArgs{
GroupIndexes: pulumi.IntArray{
pulumi.Int(0),
},
Pattern: pulumi.String("string"),
},
SensitivityScore: &dlp.GooglePrivacyDlpV2SensitivityScoreArgs{
Score: dlp.GooglePrivacyDlpV2SensitivityScoreScoreSensitivityScoreUnspecified,
},
StoredType: &dlp.GooglePrivacyDlpV2StoredTypeArgs{
CreateTime: pulumi.String("string"),
Name: pulumi.String("string"),
},
SurrogateType: nil,
},
},
ExcludeInfoTypes: pulumi.Bool(false),
IncludeQuote: pulumi.Bool(false),
InfoTypes: dlp.GooglePrivacyDlpV2InfoTypeArray{
&dlp.GooglePrivacyDlpV2InfoTypeArgs{
Name: pulumi.String("string"),
SensitivityScore: &dlp.GooglePrivacyDlpV2SensitivityScoreArgs{
Score: dlp.GooglePrivacyDlpV2SensitivityScoreScoreSensitivityScoreUnspecified,
},
Version: pulumi.String("string"),
},
},
Limits: &dlp.GooglePrivacyDlpV2FindingLimitsArgs{
MaxFindingsPerInfoType: dlp.GooglePrivacyDlpV2InfoTypeLimitArray{
&dlp.GooglePrivacyDlpV2InfoTypeLimitArgs{
InfoType: &dlp.GooglePrivacyDlpV2InfoTypeArgs{
Name: pulumi.String("string"),
SensitivityScore: &dlp.GooglePrivacyDlpV2SensitivityScoreArgs{
Score: dlp.GooglePrivacyDlpV2SensitivityScoreScoreSensitivityScoreUnspecified,
},
Version: pulumi.String("string"),
},
MaxFindings: pulumi.Int(0),
},
},
MaxFindingsPerItem: pulumi.Int(0),
MaxFindingsPerRequest: pulumi.Int(0),
},
MinLikelihood: dlp.GooglePrivacyDlpV2InspectConfigMinLikelihoodLikelihoodUnspecified,
MinLikelihoodPerInfoType: dlp.GooglePrivacyDlpV2InfoTypeLikelihoodArray{
&dlp.GooglePrivacyDlpV2InfoTypeLikelihoodArgs{
InfoType: &dlp.GooglePrivacyDlpV2InfoTypeArgs{
Name: pulumi.String("string"),
SensitivityScore: &dlp.GooglePrivacyDlpV2SensitivityScoreArgs{
Score: dlp.GooglePrivacyDlpV2SensitivityScoreScoreSensitivityScoreUnspecified,
},
Version: pulumi.String("string"),
},
MinLikelihood: dlp.GooglePrivacyDlpV2InfoTypeLikelihoodMinLikelihoodLikelihoodUnspecified,
},
},
RuleSet: dlp.GooglePrivacyDlpV2InspectionRuleSetArray{
&dlp.GooglePrivacyDlpV2InspectionRuleSetArgs{
InfoTypes: dlp.GooglePrivacyDlpV2InfoTypeArray{
&dlp.GooglePrivacyDlpV2InfoTypeArgs{
Name: pulumi.String("string"),
SensitivityScore: &dlp.GooglePrivacyDlpV2SensitivityScoreArgs{
Score: dlp.GooglePrivacyDlpV2SensitivityScoreScoreSensitivityScoreUnspecified,
},
Version: pulumi.String("string"),
},
},
Rules: dlp.GooglePrivacyDlpV2InspectionRuleArray{
&dlp.GooglePrivacyDlpV2InspectionRuleArgs{
ExclusionRule: &dlp.GooglePrivacyDlpV2ExclusionRuleArgs{
Dictionary: &dlp.GooglePrivacyDlpV2DictionaryArgs{
CloudStoragePath: &dlp.GooglePrivacyDlpV2CloudStoragePathArgs{
Path: pulumi.String("string"),
},
WordList: &dlp.GooglePrivacyDlpV2WordListArgs{
Words: pulumi.StringArray{
pulumi.String("string"),
},
},
},
ExcludeByHotword: &dlp.GooglePrivacyDlpV2ExcludeByHotwordArgs{
HotwordRegex: &dlp.GooglePrivacyDlpV2RegexArgs{
GroupIndexes: pulumi.IntArray{
pulumi.Int(0),
},
Pattern: pulumi.String("string"),
},
Proximity: &dlp.GooglePrivacyDlpV2ProximityArgs{
WindowAfter: pulumi.Int(0),
WindowBefore: pulumi.Int(0),
},
},
ExcludeInfoTypes: &dlp.GooglePrivacyDlpV2ExcludeInfoTypesArgs{
InfoTypes: dlp.GooglePrivacyDlpV2InfoTypeArray{
&dlp.GooglePrivacyDlpV2InfoTypeArgs{
Name: pulumi.String("string"),
SensitivityScore: &dlp.GooglePrivacyDlpV2SensitivityScoreArgs{
Score: dlp.GooglePrivacyDlpV2SensitivityScoreScoreSensitivityScoreUnspecified,
},
Version: pulumi.String("string"),
},
},
},
MatchingType: dlp.GooglePrivacyDlpV2ExclusionRuleMatchingTypeMatchingTypeUnspecified,
Regex: &dlp.GooglePrivacyDlpV2RegexArgs{
GroupIndexes: pulumi.IntArray{
pulumi.Int(0),
},
Pattern: pulumi.String("string"),
},
},
HotwordRule: &dlp.GooglePrivacyDlpV2HotwordRuleArgs{
HotwordRegex: &dlp.GooglePrivacyDlpV2RegexArgs{
GroupIndexes: pulumi.IntArray{
pulumi.Int(0),
},
Pattern: pulumi.String("string"),
},
LikelihoodAdjustment: &dlp.GooglePrivacyDlpV2LikelihoodAdjustmentArgs{
FixedLikelihood: dlp.GooglePrivacyDlpV2LikelihoodAdjustmentFixedLikelihoodLikelihoodUnspecified,
RelativeLikelihood: pulumi.Int(0),
},
Proximity: &dlp.GooglePrivacyDlpV2ProximityArgs{
WindowAfter: pulumi.Int(0),
WindowBefore: pulumi.Int(0),
},
},
},
},
},
},
},
InspectTemplateName: pulumi.String("string"),
StorageConfig: &dlp.GooglePrivacyDlpV2StorageConfigArgs{
BigQueryOptions: &dlp.GooglePrivacyDlpV2BigQueryOptionsArgs{
ExcludedFields: dlp.GooglePrivacyDlpV2FieldIdArray{
&dlp.GooglePrivacyDlpV2FieldIdArgs{
Name: pulumi.String("string"),
},
},
IdentifyingFields: dlp.GooglePrivacyDlpV2FieldIdArray{
&dlp.GooglePrivacyDlpV2FieldIdArgs{
Name: pulumi.String("string"),
},
},
IncludedFields: dlp.GooglePrivacyDlpV2FieldIdArray{
&dlp.GooglePrivacyDlpV2FieldIdArgs{
Name: pulumi.String("string"),
},
},
RowsLimit: pulumi.String("string"),
RowsLimitPercent: pulumi.Int(0),
SampleMethod: dlp.GooglePrivacyDlpV2BigQueryOptionsSampleMethodSampleMethodUnspecified,
TableReference: &dlp.GooglePrivacyDlpV2BigQueryTableArgs{
DatasetId: pulumi.String("string"),
Project: pulumi.String("string"),
TableId: pulumi.String("string"),
},
},
CloudStorageOptions: &dlp.GooglePrivacyDlpV2CloudStorageOptionsArgs{
BytesLimitPerFile: pulumi.String("string"),
BytesLimitPerFilePercent: pulumi.Int(0),
FileSet: &dlp.GooglePrivacyDlpV2FileSetArgs{
RegexFileSet: &dlp.GooglePrivacyDlpV2CloudStorageRegexFileSetArgs{
BucketName: pulumi.String("string"),
ExcludeRegex: pulumi.StringArray{
pulumi.String("string"),
},
IncludeRegex: pulumi.StringArray{
pulumi.String("string"),
},
},
Url: pulumi.String("string"),
},
FileTypes: dlp.GooglePrivacyDlpV2CloudStorageOptionsFileTypesItemArray{
dlp.GooglePrivacyDlpV2CloudStorageOptionsFileTypesItemFileTypeUnspecified,
},
FilesLimitPercent: pulumi.Int(0),
SampleMethod: dlp.GooglePrivacyDlpV2CloudStorageOptionsSampleMethodSampleMethodUnspecified,
},
DatastoreOptions: &dlp.GooglePrivacyDlpV2DatastoreOptionsArgs{
Kind: &dlp.GooglePrivacyDlpV2KindExpressionArgs{
Name: pulumi.String("string"),
},
PartitionId: &dlp.GooglePrivacyDlpV2PartitionIdArgs{
NamespaceId: pulumi.String("string"),
Project: pulumi.String("string"),
},
},
HybridOptions: &dlp.GooglePrivacyDlpV2HybridOptionsArgs{
Description: pulumi.String("string"),
Labels: pulumi.StringMap{
"string": pulumi.String("string"),
},
RequiredFindingLabelKeys: pulumi.StringArray{
pulumi.String("string"),
},
TableOptions: &dlp.GooglePrivacyDlpV2TableOptionsArgs{
IdentifyingFields: dlp.GooglePrivacyDlpV2FieldIdArray{
&dlp.GooglePrivacyDlpV2FieldIdArgs{
Name: pulumi.String("string"),
},
},
},
},
TimespanConfig: &dlp.GooglePrivacyDlpV2TimespanConfigArgs{
EnableAutoPopulationOfTimespanConfig: pulumi.Bool(false),
EndTime: pulumi.String("string"),
StartTime: pulumi.String("string"),
TimestampField: &dlp.GooglePrivacyDlpV2FieldIdArgs{
Name: pulumi.String("string"),
},
},
},
},
JobId: pulumi.String("string"),
Project: pulumi.String("string"),
RiskJob: &dlp.GooglePrivacyDlpV2RiskAnalysisJobConfigArgs{
Actions: dlp.GooglePrivacyDlpV2ActionArray{
&dlp.GooglePrivacyDlpV2ActionArgs{
Deidentify: &dlp.GooglePrivacyDlpV2DeidentifyArgs{
CloudStorageOutput: pulumi.String("string"),
FileTypesToTransform: dlp.GooglePrivacyDlpV2DeidentifyFileTypesToTransformItemArray{
dlp.GooglePrivacyDlpV2DeidentifyFileTypesToTransformItemFileTypeUnspecified,
},
TransformationConfig: &dlp.GooglePrivacyDlpV2TransformationConfigArgs{
DeidentifyTemplate: pulumi.String("string"),
ImageRedactTemplate: pulumi.String("string"),
StructuredDeidentifyTemplate: pulumi.String("string"),
},
TransformationDetailsStorageConfig: &dlp.GooglePrivacyDlpV2TransformationDetailsStorageConfigArgs{
Table: &dlp.GooglePrivacyDlpV2BigQueryTableArgs{
DatasetId: pulumi.String("string"),
Project: pulumi.String("string"),
TableId: pulumi.String("string"),
},
},
},
JobNotificationEmails: nil,
PubSub: &dlp.GooglePrivacyDlpV2PublishToPubSubArgs{
Topic: pulumi.String("string"),
},
PublishFindingsToCloudDataCatalog: nil,
PublishSummaryToCscc: nil,
PublishToStackdriver: nil,
SaveFindings: &dlp.GooglePrivacyDlpV2SaveFindingsArgs{
OutputConfig: &dlp.GooglePrivacyDlpV2OutputStorageConfigArgs{
OutputSchema: dlp.GooglePrivacyDlpV2OutputStorageConfigOutputSchemaOutputSchemaUnspecified,
Table: &dlp.GooglePrivacyDlpV2BigQueryTableArgs{
DatasetId: pulumi.String("string"),
Project: pulumi.String("string"),
TableId: pulumi.String("string"),
},
},
},
},
},
PrivacyMetric: &dlp.GooglePrivacyDlpV2PrivacyMetricArgs{
CategoricalStatsConfig: &dlp.GooglePrivacyDlpV2CategoricalStatsConfigArgs{
Field: &dlp.GooglePrivacyDlpV2FieldIdArgs{
Name: pulumi.String("string"),
},
},
DeltaPresenceEstimationConfig: &dlp.GooglePrivacyDlpV2DeltaPresenceEstimationConfigArgs{
QuasiIds: dlp.GooglePrivacyDlpV2QuasiIdArray{
&dlp.GooglePrivacyDlpV2QuasiIdArgs{
Field: &dlp.GooglePrivacyDlpV2FieldIdArgs{
Name: pulumi.String("string"),
},
CustomTag: pulumi.String("string"),
Inferred: nil,
InfoType: &dlp.GooglePrivacyDlpV2InfoTypeArgs{
Name: pulumi.String("string"),
SensitivityScore: &dlp.GooglePrivacyDlpV2SensitivityScoreArgs{
Score: dlp.GooglePrivacyDlpV2SensitivityScoreScoreSensitivityScoreUnspecified,
},
Version: pulumi.String("string"),
},
},
},
AuxiliaryTables: dlp.GooglePrivacyDlpV2StatisticalTableArray{
&dlp.GooglePrivacyDlpV2StatisticalTableArgs{
QuasiIds: dlp.GooglePrivacyDlpV2QuasiIdentifierFieldArray{
&dlp.GooglePrivacyDlpV2QuasiIdentifierFieldArgs{
CustomTag: pulumi.String("string"),
Field: &dlp.GooglePrivacyDlpV2FieldIdArgs{
Name: pulumi.String("string"),
},
},
},
RelativeFrequency: &dlp.GooglePrivacyDlpV2FieldIdArgs{
Name: pulumi.String("string"),
},
Table: &dlp.GooglePrivacyDlpV2BigQueryTableArgs{
DatasetId: pulumi.String("string"),
Project: pulumi.String("string"),
TableId: pulumi.String("string"),
},
},
},
RegionCode: pulumi.String("string"),
},
KAnonymityConfig: &dlp.GooglePrivacyDlpV2KAnonymityConfigArgs{
EntityId: &dlp.GooglePrivacyDlpV2EntityIdArgs{
Field: &dlp.GooglePrivacyDlpV2FieldIdArgs{
Name: pulumi.String("string"),
},
},
QuasiIds: dlp.GooglePrivacyDlpV2FieldIdArray{
&dlp.GooglePrivacyDlpV2FieldIdArgs{
Name: pulumi.String("string"),
},
},
},
KMapEstimationConfig: &dlp.GooglePrivacyDlpV2KMapEstimationConfigArgs{
QuasiIds: dlp.GooglePrivacyDlpV2TaggedFieldArray{
&dlp.GooglePrivacyDlpV2TaggedFieldArgs{
Field: &dlp.GooglePrivacyDlpV2FieldIdArgs{
Name: pulumi.String("string"),
},
CustomTag: pulumi.String("string"),
Inferred: nil,
InfoType: &dlp.GooglePrivacyDlpV2InfoTypeArgs{
Name: pulumi.String("string"),
SensitivityScore: &dlp.GooglePrivacyDlpV2SensitivityScoreArgs{
Score: dlp.GooglePrivacyDlpV2SensitivityScoreScoreSensitivityScoreUnspecified,
},
Version: pulumi.String("string"),
},
},
},
AuxiliaryTables: dlp.GooglePrivacyDlpV2AuxiliaryTableArray{
&dlp.GooglePrivacyDlpV2AuxiliaryTableArgs{
QuasiIds: dlp.GooglePrivacyDlpV2QuasiIdFieldArray{
&dlp.GooglePrivacyDlpV2QuasiIdFieldArgs{
CustomTag: pulumi.String("string"),
Field: &dlp.GooglePrivacyDlpV2FieldIdArgs{
Name: pulumi.String("string"),
},
},
},
RelativeFrequency: &dlp.GooglePrivacyDlpV2FieldIdArgs{
Name: pulumi.String("string"),
},
Table: &dlp.GooglePrivacyDlpV2BigQueryTableArgs{
DatasetId: pulumi.String("string"),
Project: pulumi.String("string"),
TableId: pulumi.String("string"),
},
},
},
RegionCode: pulumi.String("string"),
},
LDiversityConfig: &dlp.GooglePrivacyDlpV2LDiversityConfigArgs{
QuasiIds: dlp.GooglePrivacyDlpV2FieldIdArray{
&dlp.GooglePrivacyDlpV2FieldIdArgs{
Name: pulumi.String("string"),
},
},
SensitiveAttribute: &dlp.GooglePrivacyDlpV2FieldIdArgs{
Name: pulumi.String("string"),
},
},
NumericalStatsConfig: &dlp.GooglePrivacyDlpV2NumericalStatsConfigArgs{
Field: &dlp.GooglePrivacyDlpV2FieldIdArgs{
Name: pulumi.String("string"),
},
},
},
SourceTable: &dlp.GooglePrivacyDlpV2BigQueryTableArgs{
DatasetId: pulumi.String("string"),
Project: pulumi.String("string"),
TableId: pulumi.String("string"),
},
},
})
var dlpJobResource = new DlpJob("dlpJobResource", DlpJobArgs.builder()
.inspectJob(GooglePrivacyDlpV2InspectJobConfigArgs.builder()
.actions(GooglePrivacyDlpV2ActionArgs.builder()
.deidentify(GooglePrivacyDlpV2DeidentifyArgs.builder()
.cloudStorageOutput("string")
.fileTypesToTransform("FILE_TYPE_UNSPECIFIED")
.transformationConfig(GooglePrivacyDlpV2TransformationConfigArgs.builder()
.deidentifyTemplate("string")
.imageRedactTemplate("string")
.structuredDeidentifyTemplate("string")
.build())
.transformationDetailsStorageConfig(GooglePrivacyDlpV2TransformationDetailsStorageConfigArgs.builder()
.table(GooglePrivacyDlpV2BigQueryTableArgs.builder()
.datasetId("string")
.project("string")
.tableId("string")
.build())
.build())
.build())
.jobNotificationEmails()
.pubSub(GooglePrivacyDlpV2PublishToPubSubArgs.builder()
.topic("string")
.build())
.publishFindingsToCloudDataCatalog()
.publishSummaryToCscc()
.publishToStackdriver()
.saveFindings(GooglePrivacyDlpV2SaveFindingsArgs.builder()
.outputConfig(GooglePrivacyDlpV2OutputStorageConfigArgs.builder()
.outputSchema("OUTPUT_SCHEMA_UNSPECIFIED")
.table(GooglePrivacyDlpV2BigQueryTableArgs.builder()
.datasetId("string")
.project("string")
.tableId("string")
.build())
.build())
.build())
.build())
.inspectConfig(GooglePrivacyDlpV2InspectConfigArgs.builder()
.customInfoTypes(GooglePrivacyDlpV2CustomInfoTypeArgs.builder()
.detectionRules(GooglePrivacyDlpV2DetectionRuleArgs.builder()
.hotwordRule(GooglePrivacyDlpV2HotwordRuleArgs.builder()
.hotwordRegex(GooglePrivacyDlpV2RegexArgs.builder()
.groupIndexes(0)
.pattern("string")
.build())
.likelihoodAdjustment(GooglePrivacyDlpV2LikelihoodAdjustmentArgs.builder()
.fixedLikelihood("LIKELIHOOD_UNSPECIFIED")
.relativeLikelihood(0)
.build())
.proximity(GooglePrivacyDlpV2ProximityArgs.builder()
.windowAfter(0)
.windowBefore(0)
.build())
.build())
.build())
.dictionary(GooglePrivacyDlpV2DictionaryArgs.builder()
.cloudStoragePath(GooglePrivacyDlpV2CloudStoragePathArgs.builder()
.path("string")
.build())
.wordList(GooglePrivacyDlpV2WordListArgs.builder()
.words("string")
.build())
.build())
.exclusionType("EXCLUSION_TYPE_UNSPECIFIED")
.infoType(GooglePrivacyDlpV2InfoTypeArgs.builder()
.name("string")
.sensitivityScore(GooglePrivacyDlpV2SensitivityScoreArgs.builder()
.score("SENSITIVITY_SCORE_UNSPECIFIED")
.build())
.version("string")
.build())
.likelihood("LIKELIHOOD_UNSPECIFIED")
.regex(GooglePrivacyDlpV2RegexArgs.builder()
.groupIndexes(0)
.pattern("string")
.build())
.sensitivityScore(GooglePrivacyDlpV2SensitivityScoreArgs.builder()
.score("SENSITIVITY_SCORE_UNSPECIFIED")
.build())
.storedType(GooglePrivacyDlpV2StoredTypeArgs.builder()
.createTime("string")
.name("string")
.build())
.surrogateType()
.build())
.excludeInfoTypes(false)
.includeQuote(false)
.infoTypes(GooglePrivacyDlpV2InfoTypeArgs.builder()
.name("string")
.sensitivityScore(GooglePrivacyDlpV2SensitivityScoreArgs.builder()
.score("SENSITIVITY_SCORE_UNSPECIFIED")
.build())
.version("string")
.build())
.limits(GooglePrivacyDlpV2FindingLimitsArgs.builder()
.maxFindingsPerInfoType(GooglePrivacyDlpV2InfoTypeLimitArgs.builder()
.infoType(GooglePrivacyDlpV2InfoTypeArgs.builder()
.name("string")
.sensitivityScore(GooglePrivacyDlpV2SensitivityScoreArgs.builder()
.score("SENSITIVITY_SCORE_UNSPECIFIED")
.build())
.version("string")
.build())
.maxFindings(0)
.build())
.maxFindingsPerItem(0)
.maxFindingsPerRequest(0)
.build())
.minLikelihood("LIKELIHOOD_UNSPECIFIED")
.minLikelihoodPerInfoType(GooglePrivacyDlpV2InfoTypeLikelihoodArgs.builder()
.infoType(GooglePrivacyDlpV2InfoTypeArgs.builder()
.name("string")
.sensitivityScore(GooglePrivacyDlpV2SensitivityScoreArgs.builder()
.score("SENSITIVITY_SCORE_UNSPECIFIED")
.build())
.version("string")
.build())
.minLikelihood("LIKELIHOOD_UNSPECIFIED")
.build())
.ruleSet(GooglePrivacyDlpV2InspectionRuleSetArgs.builder()
.infoTypes(GooglePrivacyDlpV2InfoTypeArgs.builder()
.name("string")
.sensitivityScore(GooglePrivacyDlpV2SensitivityScoreArgs.builder()
.score("SENSITIVITY_SCORE_UNSPECIFIED")
.build())
.version("string")
.build())
.rules(GooglePrivacyDlpV2InspectionRuleArgs.builder()
.exclusionRule(GooglePrivacyDlpV2ExclusionRuleArgs.builder()
.dictionary(GooglePrivacyDlpV2DictionaryArgs.builder()
.cloudStoragePath(GooglePrivacyDlpV2CloudStoragePathArgs.builder()
.path("string")
.build())
.wordList(GooglePrivacyDlpV2WordListArgs.builder()
.words("string")
.build())
.build())
.excludeByHotword(GooglePrivacyDlpV2ExcludeByHotwordArgs.builder()
.hotwordRegex(GooglePrivacyDlpV2RegexArgs.builder()
.groupIndexes(0)
.pattern("string")
.build())
.proximity(GooglePrivacyDlpV2ProximityArgs.builder()
.windowAfter(0)
.windowBefore(0)
.build())
.build())
.excludeInfoTypes(GooglePrivacyDlpV2ExcludeInfoTypesArgs.builder()
.infoTypes(GooglePrivacyDlpV2InfoTypeArgs.builder()
.name("string")
.sensitivityScore(GooglePrivacyDlpV2SensitivityScoreArgs.builder()
.score("SENSITIVITY_SCORE_UNSPECIFIED")
.build())
.version("string")
.build())
.build())
.matchingType("MATCHING_TYPE_UNSPECIFIED")
.regex(GooglePrivacyDlpV2RegexArgs.builder()
.groupIndexes(0)
.pattern("string")
.build())
.build())
.hotwordRule(GooglePrivacyDlpV2HotwordRuleArgs.builder()
.hotwordRegex(GooglePrivacyDlpV2RegexArgs.builder()
.groupIndexes(0)
.pattern("string")
.build())
.likelihoodAdjustment(GooglePrivacyDlpV2LikelihoodAdjustmentArgs.builder()
.fixedLikelihood("LIKELIHOOD_UNSPECIFIED")
.relativeLikelihood(0)
.build())
.proximity(GooglePrivacyDlpV2ProximityArgs.builder()
.windowAfter(0)
.windowBefore(0)
.build())
.build())
.build())
.build())
.build())
.inspectTemplateName("string")
.storageConfig(GooglePrivacyDlpV2StorageConfigArgs.builder()
.bigQueryOptions(GooglePrivacyDlpV2BigQueryOptionsArgs.builder()
.excludedFields(GooglePrivacyDlpV2FieldIdArgs.builder()
.name("string")
.build())
.identifyingFields(GooglePrivacyDlpV2FieldIdArgs.builder()
.name("string")
.build())
.includedFields(GooglePrivacyDlpV2FieldIdArgs.builder()
.name("string")
.build())
.rowsLimit("string")
.rowsLimitPercent(0)
.sampleMethod("SAMPLE_METHOD_UNSPECIFIED")
.tableReference(GooglePrivacyDlpV2BigQueryTableArgs.builder()
.datasetId("string")
.project("string")
.tableId("string")
.build())
.build())
.cloudStorageOptions(GooglePrivacyDlpV2CloudStorageOptionsArgs.builder()
.bytesLimitPerFile("string")
.bytesLimitPerFilePercent(0)
.fileSet(GooglePrivacyDlpV2FileSetArgs.builder()
.regexFileSet(GooglePrivacyDlpV2CloudStorageRegexFileSetArgs.builder()
.bucketName("string")
.excludeRegex("string")
.includeRegex("string")
.build())
.url("string")
.build())
.fileTypes("FILE_TYPE_UNSPECIFIED")
.filesLimitPercent(0)
.sampleMethod("SAMPLE_METHOD_UNSPECIFIED")
.build())
.datastoreOptions(GooglePrivacyDlpV2DatastoreOptionsArgs.builder()
.kind(GooglePrivacyDlpV2KindExpressionArgs.builder()
.name("string")
.build())
.partitionId(GooglePrivacyDlpV2PartitionIdArgs.builder()
.namespaceId("string")
.project("string")
.build())
.build())
.hybridOptions(GooglePrivacyDlpV2HybridOptionsArgs.builder()
.description("string")
.labels(Map.of("string", "string"))
.requiredFindingLabelKeys("string")
.tableOptions(GooglePrivacyDlpV2TableOptionsArgs.builder()
.identifyingFields(GooglePrivacyDlpV2FieldIdArgs.builder()
.name("string")
.build())
.build())
.build())
.timespanConfig(GooglePrivacyDlpV2TimespanConfigArgs.builder()
.enableAutoPopulationOfTimespanConfig(false)
.endTime("string")
.startTime("string")
.timestampField(GooglePrivacyDlpV2FieldIdArgs.builder()
.name("string")
.build())
.build())
.build())
.build())
.jobId("string")
.project("string")
.riskJob(GooglePrivacyDlpV2RiskAnalysisJobConfigArgs.builder()
.actions(GooglePrivacyDlpV2ActionArgs.builder()
.deidentify(GooglePrivacyDlpV2DeidentifyArgs.builder()
.cloudStorageOutput("string")
.fileTypesToTransform("FILE_TYPE_UNSPECIFIED")
.transformationConfig(GooglePrivacyDlpV2TransformationConfigArgs.builder()
.deidentifyTemplate("string")
.imageRedactTemplate("string")
.structuredDeidentifyTemplate("string")
.build())
.transformationDetailsStorageConfig(GooglePrivacyDlpV2TransformationDetailsStorageConfigArgs.builder()
.table(GooglePrivacyDlpV2BigQueryTableArgs.builder()
.datasetId("string")
.project("string")
.tableId("string")
.build())
.build())
.build())
.jobNotificationEmails()
.pubSub(GooglePrivacyDlpV2PublishToPubSubArgs.builder()
.topic("string")
.build())
.publishFindingsToCloudDataCatalog()
.publishSummaryToCscc()
.publishToStackdriver()
.saveFindings(GooglePrivacyDlpV2SaveFindingsArgs.builder()
.outputConfig(GooglePrivacyDlpV2OutputStorageConfigArgs.builder()
.outputSchema("OUTPUT_SCHEMA_UNSPECIFIED")
.table(GooglePrivacyDlpV2BigQueryTableArgs.builder()
.datasetId("string")
.project("string")
.tableId("string")
.build())
.build())
.build())
.build())
.privacyMetric(GooglePrivacyDlpV2PrivacyMetricArgs.builder()
.categoricalStatsConfig(GooglePrivacyDlpV2CategoricalStatsConfigArgs.builder()
.field(GooglePrivacyDlpV2FieldIdArgs.builder()
.name("string")
.build())
.build())
.deltaPresenceEstimationConfig(GooglePrivacyDlpV2DeltaPresenceEstimationConfigArgs.builder()
.quasiIds(GooglePrivacyDlpV2QuasiIdArgs.builder()
.field(GooglePrivacyDlpV2FieldIdArgs.builder()
.name("string")
.build())
.customTag("string")
.inferred()
.infoType(GooglePrivacyDlpV2InfoTypeArgs.builder()
.name("string")
.sensitivityScore(GooglePrivacyDlpV2SensitivityScoreArgs.builder()
.score("SENSITIVITY_SCORE_UNSPECIFIED")
.build())
.version("string")
.build())
.build())
.auxiliaryTables(GooglePrivacyDlpV2StatisticalTableArgs.builder()
.quasiIds(GooglePrivacyDlpV2QuasiIdentifierFieldArgs.builder()
.customTag("string")
.field(GooglePrivacyDlpV2FieldIdArgs.builder()
.name("string")
.build())
.build())
.relativeFrequency(GooglePrivacyDlpV2FieldIdArgs.builder()
.name("string")
.build())
.table(GooglePrivacyDlpV2BigQueryTableArgs.builder()
.datasetId("string")
.project("string")
.tableId("string")
.build())
.build())
.regionCode("string")
.build())
.kAnonymityConfig(GooglePrivacyDlpV2KAnonymityConfigArgs.builder()
.entityId(GooglePrivacyDlpV2EntityIdArgs.builder()
.field(GooglePrivacyDlpV2FieldIdArgs.builder()
.name("string")
.build())
.build())
.quasiIds(GooglePrivacyDlpV2FieldIdArgs.builder()
.name("string")
.build())
.build())
.kMapEstimationConfig(GooglePrivacyDlpV2KMapEstimationConfigArgs.builder()
.quasiIds(GooglePrivacyDlpV2TaggedFieldArgs.builder()
.field(GooglePrivacyDlpV2FieldIdArgs.builder()
.name("string")
.build())
.customTag("string")
.inferred()
.infoType(GooglePrivacyDlpV2InfoTypeArgs.builder()
.name("string")
.sensitivityScore(GooglePrivacyDlpV2SensitivityScoreArgs.builder()
.score("SENSITIVITY_SCORE_UNSPECIFIED")
.build())
.version("string")
.build())
.build())
.auxiliaryTables(GooglePrivacyDlpV2AuxiliaryTableArgs.builder()
.quasiIds(GooglePrivacyDlpV2QuasiIdFieldArgs.builder()
.customTag("string")
.field(GooglePrivacyDlpV2FieldIdArgs.builder()
.name("string")
.build())
.build())
.relativeFrequency(GooglePrivacyDlpV2FieldIdArgs.builder()
.name("string")
.build())
.table(GooglePrivacyDlpV2BigQueryTableArgs.builder()
.datasetId("string")
.project("string")
.tableId("string")
.build())
.build())
.regionCode("string")
.build())
.lDiversityConfig(GooglePrivacyDlpV2LDiversityConfigArgs.builder()
.quasiIds(GooglePrivacyDlpV2FieldIdArgs.builder()
.name("string")
.build())
.sensitiveAttribute(GooglePrivacyDlpV2FieldIdArgs.builder()
.name("string")
.build())
.build())
.numericalStatsConfig(GooglePrivacyDlpV2NumericalStatsConfigArgs.builder()
.field(GooglePrivacyDlpV2FieldIdArgs.builder()
.name("string")
.build())
.build())
.build())
.sourceTable(GooglePrivacyDlpV2BigQueryTableArgs.builder()
.datasetId("string")
.project("string")
.tableId("string")
.build())
.build())
.build());
dlp_job_resource = google_native.dlp.v2.DlpJob("dlpJobResource",
inspect_job=google_native.dlp.v2.GooglePrivacyDlpV2InspectJobConfigArgs(
actions=[google_native.dlp.v2.GooglePrivacyDlpV2ActionArgs(
deidentify=google_native.dlp.v2.GooglePrivacyDlpV2DeidentifyArgs(
cloud_storage_output="string",
file_types_to_transform=[google_native.dlp.v2.GooglePrivacyDlpV2DeidentifyFileTypesToTransformItem.FILE_TYPE_UNSPECIFIED],
transformation_config=google_native.dlp.v2.GooglePrivacyDlpV2TransformationConfigArgs(
deidentify_template="string",
image_redact_template="string",
structured_deidentify_template="string",
),
transformation_details_storage_config=google_native.dlp.v2.GooglePrivacyDlpV2TransformationDetailsStorageConfigArgs(
table=google_native.dlp.v2.GooglePrivacyDlpV2BigQueryTableArgs(
dataset_id="string",
project="string",
table_id="string",
),
),
),
job_notification_emails=google_native.dlp.v2.GooglePrivacyDlpV2JobNotificationEmailsArgs(),
pub_sub=google_native.dlp.v2.GooglePrivacyDlpV2PublishToPubSubArgs(
topic="string",
),
publish_findings_to_cloud_data_catalog=google_native.dlp.v2.GooglePrivacyDlpV2PublishFindingsToCloudDataCatalogArgs(),
publish_summary_to_cscc=google_native.dlp.v2.GooglePrivacyDlpV2PublishSummaryToCsccArgs(),
publish_to_stackdriver=google_native.dlp.v2.GooglePrivacyDlpV2PublishToStackdriverArgs(),
save_findings=google_native.dlp.v2.GooglePrivacyDlpV2SaveFindingsArgs(
output_config=google_native.dlp.v2.GooglePrivacyDlpV2OutputStorageConfigArgs(
output_schema=google_native.dlp.v2.GooglePrivacyDlpV2OutputStorageConfigOutputSchema.OUTPUT_SCHEMA_UNSPECIFIED,
table=google_native.dlp.v2.GooglePrivacyDlpV2BigQueryTableArgs(
dataset_id="string",
project="string",
table_id="string",
),
),
),
)],
inspect_config=google_native.dlp.v2.GooglePrivacyDlpV2InspectConfigArgs(
custom_info_types=[google_native.dlp.v2.GooglePrivacyDlpV2CustomInfoTypeArgs(
detection_rules=[google_native.dlp.v2.GooglePrivacyDlpV2DetectionRuleArgs(
hotword_rule=google_native.dlp.v2.GooglePrivacyDlpV2HotwordRuleArgs(
hotword_regex=google_native.dlp.v2.GooglePrivacyDlpV2RegexArgs(
group_indexes=[0],
pattern="string",
),
likelihood_adjustment=google_native.dlp.v2.GooglePrivacyDlpV2LikelihoodAdjustmentArgs(
fixed_likelihood=google_native.dlp.v2.GooglePrivacyDlpV2LikelihoodAdjustmentFixedLikelihood.LIKELIHOOD_UNSPECIFIED,
relative_likelihood=0,
),
proximity=google_native.dlp.v2.GooglePrivacyDlpV2ProximityArgs(
window_after=0,
window_before=0,
),
),
)],
dictionary=google_native.dlp.v2.GooglePrivacyDlpV2DictionaryArgs(
cloud_storage_path=google_native.dlp.v2.GooglePrivacyDlpV2CloudStoragePathArgs(
path="string",
),
word_list=google_native.dlp.v2.GooglePrivacyDlpV2WordListArgs(
words=["string"],
),
),
exclusion_type=google_native.dlp.v2.GooglePrivacyDlpV2CustomInfoTypeExclusionType.EXCLUSION_TYPE_UNSPECIFIED,
info_type=google_native.dlp.v2.GooglePrivacyDlpV2InfoTypeArgs(
name="string",
sensitivity_score=google_native.dlp.v2.GooglePrivacyDlpV2SensitivityScoreArgs(
score=google_native.dlp.v2.GooglePrivacyDlpV2SensitivityScoreScore.SENSITIVITY_SCORE_UNSPECIFIED,
),
version="string",
),
likelihood=google_native.dlp.v2.GooglePrivacyDlpV2CustomInfoTypeLikelihood.LIKELIHOOD_UNSPECIFIED,
regex=google_native.dlp.v2.GooglePrivacyDlpV2RegexArgs(
group_indexes=[0],
pattern="string",
),
sensitivity_score=google_native.dlp.v2.GooglePrivacyDlpV2SensitivityScoreArgs(
score=google_native.dlp.v2.GooglePrivacyDlpV2SensitivityScoreScore.SENSITIVITY_SCORE_UNSPECIFIED,
),
stored_type=google_native.dlp.v2.GooglePrivacyDlpV2StoredTypeArgs(
create_time="string",
name="string",
),
surrogate_type=google_native.dlp.v2.GooglePrivacyDlpV2SurrogateTypeArgs(),
)],
exclude_info_types=False,
include_quote=False,
info_types=[google_native.dlp.v2.GooglePrivacyDlpV2InfoTypeArgs(
name="string",
sensitivity_score=google_native.dlp.v2.GooglePrivacyDlpV2SensitivityScoreArgs(
score=google_native.dlp.v2.GooglePrivacyDlpV2SensitivityScoreScore.SENSITIVITY_SCORE_UNSPECIFIED,
),
version="string",
)],
limits=google_native.dlp.v2.GooglePrivacyDlpV2FindingLimitsArgs(
max_findings_per_info_type=[google_native.dlp.v2.GooglePrivacyDlpV2InfoTypeLimitArgs(
info_type=google_native.dlp.v2.GooglePrivacyDlpV2InfoTypeArgs(
name="string",
sensitivity_score=google_native.dlp.v2.GooglePrivacyDlpV2SensitivityScoreArgs(
score=google_native.dlp.v2.GooglePrivacyDlpV2SensitivityScoreScore.SENSITIVITY_SCORE_UNSPECIFIED,
),
version="string",
),
max_findings=0,
)],
max_findings_per_item=0,
max_findings_per_request=0,
),
min_likelihood=google_native.dlp.v2.GooglePrivacyDlpV2InspectConfigMinLikelihood.LIKELIHOOD_UNSPECIFIED,
min_likelihood_per_info_type=[google_native.dlp.v2.GooglePrivacyDlpV2InfoTypeLikelihoodArgs(
info_type=google_native.dlp.v2.GooglePrivacyDlpV2InfoTypeArgs(
name="string",
sensitivity_score=google_native.dlp.v2.GooglePrivacyDlpV2SensitivityScoreArgs(
score=google_native.dlp.v2.GooglePrivacyDlpV2SensitivityScoreScore.SENSITIVITY_SCORE_UNSPECIFIED,
),
version="string",
),
min_likelihood=google_native.dlp.v2.GooglePrivacyDlpV2InfoTypeLikelihoodMinLikelihood.LIKELIHOOD_UNSPECIFIED,
)],
rule_set=[google_native.dlp.v2.GooglePrivacyDlpV2InspectionRuleSetArgs(
info_types=[google_native.dlp.v2.GooglePrivacyDlpV2InfoTypeArgs(
name="string",
sensitivity_score=google_native.dlp.v2.GooglePrivacyDlpV2SensitivityScoreArgs(
score=google_native.dlp.v2.GooglePrivacyDlpV2SensitivityScoreScore.SENSITIVITY_SCORE_UNSPECIFIED,
),
version="string",
)],
rules=[google_native.dlp.v2.GooglePrivacyDlpV2InspectionRuleArgs(
exclusion_rule=google_native.dlp.v2.GooglePrivacyDlpV2ExclusionRuleArgs(
dictionary=google_native.dlp.v2.GooglePrivacyDlpV2DictionaryArgs(
cloud_storage_path=google_native.dlp.v2.GooglePrivacyDlpV2CloudStoragePathArgs(
path="string",
),
word_list=google_native.dlp.v2.GooglePrivacyDlpV2WordListArgs(
words=["string"],
),
),
exclude_by_hotword=google_native.dlp.v2.GooglePrivacyDlpV2ExcludeByHotwordArgs(
hotword_regex=google_native.dlp.v2.GooglePrivacyDlpV2RegexArgs(
group_indexes=[0],
pattern="string",
),
proximity=google_native.dlp.v2.GooglePrivacyDlpV2ProximityArgs(
window_after=0,
window_before=0,
),
),
exclude_info_types=google_native.dlp.v2.GooglePrivacyDlpV2ExcludeInfoTypesArgs(
info_types=[google_native.dlp.v2.GooglePrivacyDlpV2InfoTypeArgs(
name="string",
sensitivity_score=google_native.dlp.v2.GooglePrivacyDlpV2SensitivityScoreArgs(
score=google_native.dlp.v2.GooglePrivacyDlpV2SensitivityScoreScore.SENSITIVITY_SCORE_UNSPECIFIED,
),
version="string",
)],
),
matching_type=google_native.dlp.v2.GooglePrivacyDlpV2ExclusionRuleMatchingType.MATCHING_TYPE_UNSPECIFIED,
regex=google_native.dlp.v2.GooglePrivacyDlpV2RegexArgs(
group_indexes=[0],
pattern="string",
),
),
hotword_rule=google_native.dlp.v2.GooglePrivacyDlpV2HotwordRuleArgs(
hotword_regex=google_native.dlp.v2.GooglePrivacyDlpV2RegexArgs(
group_indexes=[0],
pattern="string",
),
likelihood_adjustment=google_native.dlp.v2.GooglePrivacyDlpV2LikelihoodAdjustmentArgs(
fixed_likelihood=google_native.dlp.v2.GooglePrivacyDlpV2LikelihoodAdjustmentFixedLikelihood.LIKELIHOOD_UNSPECIFIED,
relative_likelihood=0,
),
proximity=google_native.dlp.v2.GooglePrivacyDlpV2ProximityArgs(
window_after=0,
window_before=0,
),
),
)],
)],
),
inspect_template_name="string",
storage_config=google_native.dlp.v2.GooglePrivacyDlpV2StorageConfigArgs(
big_query_options=google_native.dlp.v2.GooglePrivacyDlpV2BigQueryOptionsArgs(
excluded_fields=[google_native.dlp.v2.GooglePrivacyDlpV2FieldIdArgs(
name="string",
)],
identifying_fields=[google_native.dlp.v2.GooglePrivacyDlpV2FieldIdArgs(
name="string",
)],
included_fields=[google_native.dlp.v2.GooglePrivacyDlpV2FieldIdArgs(
name="string",
)],
rows_limit="string",
rows_limit_percent=0,
sample_method=google_native.dlp.v2.GooglePrivacyDlpV2BigQueryOptionsSampleMethod.SAMPLE_METHOD_UNSPECIFIED,
table_reference=google_native.dlp.v2.GooglePrivacyDlpV2BigQueryTableArgs(
dataset_id="string",
project="string",
table_id="string",
),
),
cloud_storage_options=google_native.dlp.v2.GooglePrivacyDlpV2CloudStorageOptionsArgs(
bytes_limit_per_file="string",
bytes_limit_per_file_percent=0,
file_set=google_native.dlp.v2.GooglePrivacyDlpV2FileSetArgs(
regex_file_set=google_native.dlp.v2.GooglePrivacyDlpV2CloudStorageRegexFileSetArgs(
bucket_name="string",
exclude_regex=["string"],
include_regex=["string"],
),
url="string",
),
file_types=[google_native.dlp.v2.GooglePrivacyDlpV2CloudStorageOptionsFileTypesItem.FILE_TYPE_UNSPECIFIED],
files_limit_percent=0,
sample_method=google_native.dlp.v2.GooglePrivacyDlpV2CloudStorageOptionsSampleMethod.SAMPLE_METHOD_UNSPECIFIED,
),
datastore_options=google_native.dlp.v2.GooglePrivacyDlpV2DatastoreOptionsArgs(
kind=google_native.dlp.v2.GooglePrivacyDlpV2KindExpressionArgs(
name="string",
),
partition_id=google_native.dlp.v2.GooglePrivacyDlpV2PartitionIdArgs(
namespace_id="string",
project="string",
),
),
hybrid_options=google_native.dlp.v2.GooglePrivacyDlpV2HybridOptionsArgs(
description="string",
labels={
"string": "string",
},
required_finding_label_keys=["string"],
table_options=google_native.dlp.v2.GooglePrivacyDlpV2TableOptionsArgs(
identifying_fields=[google_native.dlp.v2.GooglePrivacyDlpV2FieldIdArgs(
name="string",
)],
),
),
timespan_config=google_native.dlp.v2.GooglePrivacyDlpV2TimespanConfigArgs(
enable_auto_population_of_timespan_config=False,
end_time="string",
start_time="string",
timestamp_field=google_native.dlp.v2.GooglePrivacyDlpV2FieldIdArgs(
name="string",
),
),
),
),
job_id="string",
project="string",
risk_job=google_native.dlp.v2.GooglePrivacyDlpV2RiskAnalysisJobConfigArgs(
actions=[google_native.dlp.v2.GooglePrivacyDlpV2ActionArgs(
deidentify=google_native.dlp.v2.GooglePrivacyDlpV2DeidentifyArgs(
cloud_storage_output="string",
file_types_to_transform=[google_native.dlp.v2.GooglePrivacyDlpV2DeidentifyFileTypesToTransformItem.FILE_TYPE_UNSPECIFIED],
transformation_config=google_native.dlp.v2.GooglePrivacyDlpV2TransformationConfigArgs(
deidentify_template="string",
image_redact_template="string",
structured_deidentify_template="string",
),
transformation_details_storage_config=google_native.dlp.v2.GooglePrivacyDlpV2TransformationDetailsStorageConfigArgs(
table=google_native.dlp.v2.GooglePrivacyDlpV2BigQueryTableArgs(
dataset_id="string",
project="string",
table_id="string",
),
),
),
job_notification_emails=google_native.dlp.v2.GooglePrivacyDlpV2JobNotificationEmailsArgs(),
pub_sub=google_native.dlp.v2.GooglePrivacyDlpV2PublishToPubSubArgs(
topic="string",
),
publish_findings_to_cloud_data_catalog=google_native.dlp.v2.GooglePrivacyDlpV2PublishFindingsToCloudDataCatalogArgs(),
publish_summary_to_cscc=google_native.dlp.v2.GooglePrivacyDlpV2PublishSummaryToCsccArgs(),
publish_to_stackdriver=google_native.dlp.v2.GooglePrivacyDlpV2PublishToStackdriverArgs(),
save_findings=google_native.dlp.v2.GooglePrivacyDlpV2SaveFindingsArgs(
output_config=google_native.dlp.v2.GooglePrivacyDlpV2OutputStorageConfigArgs(
output_schema=google_native.dlp.v2.GooglePrivacyDlpV2OutputStorageConfigOutputSchema.OUTPUT_SCHEMA_UNSPECIFIED,
table=google_native.dlp.v2.GooglePrivacyDlpV2BigQueryTableArgs(
dataset_id="string",
project="string",
table_id="string",
),
),
),
)],
privacy_metric=google_native.dlp.v2.GooglePrivacyDlpV2PrivacyMetricArgs(
categorical_stats_config=google_native.dlp.v2.GooglePrivacyDlpV2CategoricalStatsConfigArgs(
field=google_native.dlp.v2.GooglePrivacyDlpV2FieldIdArgs(
name="string",
),
),
delta_presence_estimation_config=google_native.dlp.v2.GooglePrivacyDlpV2DeltaPresenceEstimationConfigArgs(
quasi_ids=[google_native.dlp.v2.GooglePrivacyDlpV2QuasiIdArgs(
field=google_native.dlp.v2.GooglePrivacyDlpV2FieldIdArgs(
name="string",
),
custom_tag="string",
inferred=google_native.dlp.v2.GoogleProtobufEmptyArgs(),
info_type=google_native.dlp.v2.GooglePrivacyDlpV2InfoTypeArgs(
name="string",
sensitivity_score=google_native.dlp.v2.GooglePrivacyDlpV2SensitivityScoreArgs(
score=google_native.dlp.v2.GooglePrivacyDlpV2SensitivityScoreScore.SENSITIVITY_SCORE_UNSPECIFIED,
),
version="string",
),
)],
auxiliary_tables=[google_native.dlp.v2.GooglePrivacyDlpV2StatisticalTableArgs(
quasi_ids=[google_native.dlp.v2.GooglePrivacyDlpV2QuasiIdentifierFieldArgs(
custom_tag="string",
field=google_native.dlp.v2.GooglePrivacyDlpV2FieldIdArgs(
name="string",
),
)],
relative_frequency=google_native.dlp.v2.GooglePrivacyDlpV2FieldIdArgs(
name="string",
),
table=google_native.dlp.v2.GooglePrivacyDlpV2BigQueryTableArgs(
dataset_id="string",
project="string",
table_id="string",
),
)],
region_code="string",
),
k_anonymity_config=google_native.dlp.v2.GooglePrivacyDlpV2KAnonymityConfigArgs(
entity_id=google_native.dlp.v2.GooglePrivacyDlpV2EntityIdArgs(
field=google_native.dlp.v2.GooglePrivacyDlpV2FieldIdArgs(
name="string",
),
),
quasi_ids=[google_native.dlp.v2.GooglePrivacyDlpV2FieldIdArgs(
name="string",
)],
),
k_map_estimation_config=google_native.dlp.v2.GooglePrivacyDlpV2KMapEstimationConfigArgs(
quasi_ids=[google_native.dlp.v2.GooglePrivacyDlpV2TaggedFieldArgs(
field=google_native.dlp.v2.GooglePrivacyDlpV2FieldIdArgs(
name="string",
),
custom_tag="string",
inferred=google_native.dlp.v2.GoogleProtobufEmptyArgs(),
info_type=google_native.dlp.v2.GooglePrivacyDlpV2InfoTypeArgs(
name="string",
sensitivity_score=google_native.dlp.v2.GooglePrivacyDlpV2SensitivityScoreArgs(
score=google_native.dlp.v2.GooglePrivacyDlpV2SensitivityScoreScore.SENSITIVITY_SCORE_UNSPECIFIED,
),
version="string",
),
)],
auxiliary_tables=[google_native.dlp.v2.GooglePrivacyDlpV2AuxiliaryTableArgs(
quasi_ids=[google_native.dlp.v2.GooglePrivacyDlpV2QuasiIdFieldArgs(
custom_tag="string",
field=google_native.dlp.v2.GooglePrivacyDlpV2FieldIdArgs(
name="string",
),
)],
relative_frequency=google_native.dlp.v2.GooglePrivacyDlpV2FieldIdArgs(
name="string",
),
table=google_native.dlp.v2.GooglePrivacyDlpV2BigQueryTableArgs(
dataset_id="string",
project="string",
table_id="string",
),
)],
region_code="string",
),
l_diversity_config=google_native.dlp.v2.GooglePrivacyDlpV2LDiversityConfigArgs(
quasi_ids=[google_native.dlp.v2.GooglePrivacyDlpV2FieldIdArgs(
name="string",
)],
sensitive_attribute=google_native.dlp.v2.GooglePrivacyDlpV2FieldIdArgs(
name="string",
),
),
numerical_stats_config=google_native.dlp.v2.GooglePrivacyDlpV2NumericalStatsConfigArgs(
field=google_native.dlp.v2.GooglePrivacyDlpV2FieldIdArgs(
name="string",
),
),
),
source_table=google_native.dlp.v2.GooglePrivacyDlpV2BigQueryTableArgs(
dataset_id="string",
project="string",
table_id="string",
),
))
const dlpJobResource = new google_native.dlp.v2.DlpJob("dlpJobResource", {
inspectJob: {
actions: [{
deidentify: {
cloudStorageOutput: "string",
fileTypesToTransform: [google_native.dlp.v2.GooglePrivacyDlpV2DeidentifyFileTypesToTransformItem.FileTypeUnspecified],
transformationConfig: {
deidentifyTemplate: "string",
imageRedactTemplate: "string",
structuredDeidentifyTemplate: "string",
},
transformationDetailsStorageConfig: {
table: {
datasetId: "string",
project: "string",
tableId: "string",
},
},
},
jobNotificationEmails: {},
pubSub: {
topic: "string",
},
publishFindingsToCloudDataCatalog: {},
publishSummaryToCscc: {},
publishToStackdriver: {},
saveFindings: {
outputConfig: {
outputSchema: google_native.dlp.v2.GooglePrivacyDlpV2OutputStorageConfigOutputSchema.OutputSchemaUnspecified,
table: {
datasetId: "string",
project: "string",
tableId: "string",
},
},
},
}],
inspectConfig: {
customInfoTypes: [{
detectionRules: [{
hotwordRule: {
hotwordRegex: {
groupIndexes: [0],
pattern: "string",
},
likelihoodAdjustment: {
fixedLikelihood: google_native.dlp.v2.GooglePrivacyDlpV2LikelihoodAdjustmentFixedLikelihood.LikelihoodUnspecified,
relativeLikelihood: 0,
},
proximity: {
windowAfter: 0,
windowBefore: 0,
},
},
}],
dictionary: {
cloudStoragePath: {
path: "string",
},
wordList: {
words: ["string"],
},
},
exclusionType: google_native.dlp.v2.GooglePrivacyDlpV2CustomInfoTypeExclusionType.ExclusionTypeUnspecified,
infoType: {
name: "string",
sensitivityScore: {
score: google_native.dlp.v2.GooglePrivacyDlpV2SensitivityScoreScore.SensitivityScoreUnspecified,
},
version: "string",
},
likelihood: google_native.dlp.v2.GooglePrivacyDlpV2CustomInfoTypeLikelihood.LikelihoodUnspecified,
regex: {
groupIndexes: [0],
pattern: "string",
},
sensitivityScore: {
score: google_native.dlp.v2.GooglePrivacyDlpV2SensitivityScoreScore.SensitivityScoreUnspecified,
},
storedType: {
createTime: "string",
name: "string",
},
surrogateType: {},
}],
excludeInfoTypes: false,
includeQuote: false,
infoTypes: [{
name: "string",
sensitivityScore: {
score: google_native.dlp.v2.GooglePrivacyDlpV2SensitivityScoreScore.SensitivityScoreUnspecified,
},
version: "string",
}],
limits: {
maxFindingsPerInfoType: [{
infoType: {
name: "string",
sensitivityScore: {
score: google_native.dlp.v2.GooglePrivacyDlpV2SensitivityScoreScore.SensitivityScoreUnspecified,
},
version: "string",
},
maxFindings: 0,
}],
maxFindingsPerItem: 0,
maxFindingsPerRequest: 0,
},
minLikelihood: google_native.dlp.v2.GooglePrivacyDlpV2InspectConfigMinLikelihood.LikelihoodUnspecified,
minLikelihoodPerInfoType: [{
infoType: {
name: "string",
sensitivityScore: {
score: google_native.dlp.v2.GooglePrivacyDlpV2SensitivityScoreScore.SensitivityScoreUnspecified,
},
version: "string",
},
minLikelihood: google_native.dlp.v2.GooglePrivacyDlpV2InfoTypeLikelihoodMinLikelihood.LikelihoodUnspecified,
}],
ruleSet: [{
infoTypes: [{
name: "string",
sensitivityScore: {
score: google_native.dlp.v2.GooglePrivacyDlpV2SensitivityScoreScore.SensitivityScoreUnspecified,
},
version: "string",
}],
rules: [{
exclusionRule: {
dictionary: {
cloudStoragePath: {
path: "string",
},
wordList: {
words: ["string"],
},
},
excludeByHotword: {
hotwordRegex: {
groupIndexes: [0],
pattern: "string",
},
proximity: {
windowAfter: 0,
windowBefore: 0,
},
},
excludeInfoTypes: {
infoTypes: [{
name: "string",
sensitivityScore: {
score: google_native.dlp.v2.GooglePrivacyDlpV2SensitivityScoreScore.SensitivityScoreUnspecified,
},
version: "string",
}],
},
matchingType: google_native.dlp.v2.GooglePrivacyDlpV2ExclusionRuleMatchingType.MatchingTypeUnspecified,
regex: {
groupIndexes: [0],
pattern: "string",
},
},
hotwordRule: {
hotwordRegex: {
groupIndexes: [0],
pattern: "string",
},
likelihoodAdjustment: {
fixedLikelihood: google_native.dlp.v2.GooglePrivacyDlpV2LikelihoodAdjustmentFixedLikelihood.LikelihoodUnspecified,
relativeLikelihood: 0,
},
proximity: {
windowAfter: 0,
windowBefore: 0,
},
},
}],
}],
},
inspectTemplateName: "string",
storageConfig: {
bigQueryOptions: {
excludedFields: [{
name: "string",
}],
identifyingFields: [{
name: "string",
}],
includedFields: [{
name: "string",
}],
rowsLimit: "string",
rowsLimitPercent: 0,
sampleMethod: google_native.dlp.v2.GooglePrivacyDlpV2BigQueryOptionsSampleMethod.SampleMethodUnspecified,
tableReference: {
datasetId: "string",
project: "string",
tableId: "string",
},
},
cloudStorageOptions: {
bytesLimitPerFile: "string",
bytesLimitPerFilePercent: 0,
fileSet: {
regexFileSet: {
bucketName: "string",
excludeRegex: ["string"],
includeRegex: ["string"],
},
url: "string",
},
fileTypes: [google_native.dlp.v2.GooglePrivacyDlpV2CloudStorageOptionsFileTypesItem.FileTypeUnspecified],
filesLimitPercent: 0,
sampleMethod: google_native.dlp.v2.GooglePrivacyDlpV2CloudStorageOptionsSampleMethod.SampleMethodUnspecified,
},
datastoreOptions: {
kind: {
name: "string",
},
partitionId: {
namespaceId: "string",
project: "string",
},
},
hybridOptions: {
description: "string",
labels: {
string: "string",
},
requiredFindingLabelKeys: ["string"],
tableOptions: {
identifyingFields: [{
name: "string",
}],
},
},
timespanConfig: {
enableAutoPopulationOfTimespanConfig: false,
endTime: "string",
startTime: "string",
timestampField: {
name: "string",
},
},
},
},
jobId: "string",
project: "string",
riskJob: {
actions: [{
deidentify: {
cloudStorageOutput: "string",
fileTypesToTransform: [google_native.dlp.v2.GooglePrivacyDlpV2DeidentifyFileTypesToTransformItem.FileTypeUnspecified],
transformationConfig: {
deidentifyTemplate: "string",
imageRedactTemplate: "string",
structuredDeidentifyTemplate: "string",
},
transformationDetailsStorageConfig: {
table: {
datasetId: "string",
project: "string",
tableId: "string",
},
},
},
jobNotificationEmails: {},
pubSub: {
topic: "string",
},
publishFindingsToCloudDataCatalog: {},
publishSummaryToCscc: {},
publishToStackdriver: {},
saveFindings: {
outputConfig: {
outputSchema: google_native.dlp.v2.GooglePrivacyDlpV2OutputStorageConfigOutputSchema.OutputSchemaUnspecified,
table: {
datasetId: "string",
project: "string",
tableId: "string",
},
},
},
}],
privacyMetric: {
categoricalStatsConfig: {
field: {
name: "string",
},
},
deltaPresenceEstimationConfig: {
quasiIds: [{
field: {
name: "string",
},
customTag: "string",
inferred: {},
infoType: {
name: "string",
sensitivityScore: {
score: google_native.dlp.v2.GooglePrivacyDlpV2SensitivityScoreScore.SensitivityScoreUnspecified,
},
version: "string",
},
}],
auxiliaryTables: [{
quasiIds: [{
customTag: "string",
field: {
name: "string",
},
}],
relativeFrequency: {
name: "string",
},
table: {
datasetId: "string",
project: "string",
tableId: "string",
},
}],
regionCode: "string",
},
kAnonymityConfig: {
entityId: {
field: {
name: "string",
},
},
quasiIds: [{
name: "string",
}],
},
kMapEstimationConfig: {
quasiIds: [{
field: {
name: "string",
},
customTag: "string",
inferred: {},
infoType: {
name: "string",
sensitivityScore: {
score: google_native.dlp.v2.GooglePrivacyDlpV2SensitivityScoreScore.SensitivityScoreUnspecified,
},
version: "string",
},
}],
auxiliaryTables: [{
quasiIds: [{
customTag: "string",
field: {
name: "string",
},
}],
relativeFrequency: {
name: "string",
},
table: {
datasetId: "string",
project: "string",
tableId: "string",
},
}],
regionCode: "string",
},
lDiversityConfig: {
quasiIds: [{
name: "string",
}],
sensitiveAttribute: {
name: "string",
},
},
numericalStatsConfig: {
field: {
name: "string",
},
},
},
sourceTable: {
datasetId: "string",
project: "string",
tableId: "string",
},
},
});
type: google-native:dlp/v2:DlpJob
properties:
inspectJob:
actions:
- deidentify:
cloudStorageOutput: string
fileTypesToTransform:
- FILE_TYPE_UNSPECIFIED
transformationConfig:
deidentifyTemplate: string
imageRedactTemplate: string
structuredDeidentifyTemplate: string
transformationDetailsStorageConfig:
table:
datasetId: string
project: string
tableId: string
jobNotificationEmails: {}
pubSub:
topic: string
publishFindingsToCloudDataCatalog: {}
publishSummaryToCscc: {}
publishToStackdriver: {}
saveFindings:
outputConfig:
outputSchema: OUTPUT_SCHEMA_UNSPECIFIED
table:
datasetId: string
project: string
tableId: string
inspectConfig:
customInfoTypes:
- detectionRules:
- hotwordRule:
hotwordRegex:
groupIndexes:
- 0
pattern: string
likelihoodAdjustment:
fixedLikelihood: LIKELIHOOD_UNSPECIFIED
relativeLikelihood: 0
proximity:
windowAfter: 0
windowBefore: 0
dictionary:
cloudStoragePath:
path: string
wordList:
words:
- string
exclusionType: EXCLUSION_TYPE_UNSPECIFIED
infoType:
name: string
sensitivityScore:
score: SENSITIVITY_SCORE_UNSPECIFIED
version: string
likelihood: LIKELIHOOD_UNSPECIFIED
regex:
groupIndexes:
- 0
pattern: string
sensitivityScore:
score: SENSITIVITY_SCORE_UNSPECIFIED
storedType:
createTime: string
name: string
surrogateType: {}
excludeInfoTypes: false
includeQuote: false
infoTypes:
- name: string
sensitivityScore:
score: SENSITIVITY_SCORE_UNSPECIFIED
version: string
limits:
maxFindingsPerInfoType:
- infoType:
name: string
sensitivityScore:
score: SENSITIVITY_SCORE_UNSPECIFIED
version: string
maxFindings: 0
maxFindingsPerItem: 0
maxFindingsPerRequest: 0
minLikelihood: LIKELIHOOD_UNSPECIFIED
minLikelihoodPerInfoType:
- infoType:
name: string
sensitivityScore:
score: SENSITIVITY_SCORE_UNSPECIFIED
version: string
minLikelihood: LIKELIHOOD_UNSPECIFIED
ruleSet:
- infoTypes:
- name: string
sensitivityScore:
score: SENSITIVITY_SCORE_UNSPECIFIED
version: string
rules:
- exclusionRule:
dictionary:
cloudStoragePath:
path: string
wordList:
words:
- string
excludeByHotword:
hotwordRegex:
groupIndexes:
- 0
pattern: string
proximity:
windowAfter: 0
windowBefore: 0
excludeInfoTypes:
infoTypes:
- name: string
sensitivityScore:
score: SENSITIVITY_SCORE_UNSPECIFIED
version: string
matchingType: MATCHING_TYPE_UNSPECIFIED
regex:
groupIndexes:
- 0
pattern: string
hotwordRule:
hotwordRegex:
groupIndexes:
- 0
pattern: string
likelihoodAdjustment:
fixedLikelihood: LIKELIHOOD_UNSPECIFIED
relativeLikelihood: 0
proximity:
windowAfter: 0
windowBefore: 0
inspectTemplateName: string
storageConfig:
bigQueryOptions:
excludedFields:
- name: string
identifyingFields:
- name: string
includedFields:
- name: string
rowsLimit: string
rowsLimitPercent: 0
sampleMethod: SAMPLE_METHOD_UNSPECIFIED
tableReference:
datasetId: string
project: string
tableId: string
cloudStorageOptions:
bytesLimitPerFile: string
bytesLimitPerFilePercent: 0
fileSet:
regexFileSet:
bucketName: string
excludeRegex:
- string
includeRegex:
- string
url: string
fileTypes:
- FILE_TYPE_UNSPECIFIED
filesLimitPercent: 0
sampleMethod: SAMPLE_METHOD_UNSPECIFIED
datastoreOptions:
kind:
name: string
partitionId:
namespaceId: string
project: string
hybridOptions:
description: string
labels:
string: string
requiredFindingLabelKeys:
- string
tableOptions:
identifyingFields:
- name: string
timespanConfig:
enableAutoPopulationOfTimespanConfig: false
endTime: string
startTime: string
timestampField:
name: string
jobId: string
project: string
riskJob:
actions:
- deidentify:
cloudStorageOutput: string
fileTypesToTransform:
- FILE_TYPE_UNSPECIFIED
transformationConfig:
deidentifyTemplate: string
imageRedactTemplate: string
structuredDeidentifyTemplate: string
transformationDetailsStorageConfig:
table:
datasetId: string
project: string
tableId: string
jobNotificationEmails: {}
pubSub:
topic: string
publishFindingsToCloudDataCatalog: {}
publishSummaryToCscc: {}
publishToStackdriver: {}
saveFindings:
outputConfig:
outputSchema: OUTPUT_SCHEMA_UNSPECIFIED
table:
datasetId: string
project: string
tableId: string
privacyMetric:
categoricalStatsConfig:
field:
name: string
deltaPresenceEstimationConfig:
auxiliaryTables:
- quasiIds:
- customTag: string
field:
name: string
relativeFrequency:
name: string
table:
datasetId: string
project: string
tableId: string
quasiIds:
- customTag: string
field:
name: string
inferred: {}
infoType:
name: string
sensitivityScore:
score: SENSITIVITY_SCORE_UNSPECIFIED
version: string
regionCode: string
kAnonymityConfig:
entityId:
field:
name: string
quasiIds:
- name: string
kMapEstimationConfig:
auxiliaryTables:
- quasiIds:
- customTag: string
field:
name: string
relativeFrequency:
name: string
table:
datasetId: string
project: string
tableId: string
quasiIds:
- customTag: string
field:
name: string
inferred: {}
infoType:
name: string
sensitivityScore:
score: SENSITIVITY_SCORE_UNSPECIFIED
version: string
regionCode: string
lDiversityConfig:
quasiIds:
- name: string
sensitiveAttribute:
name: string
numericalStatsConfig:
field:
name: string
sourceTable:
datasetId: string
project: string
tableId: string
DlpJob Resource Properties
To learn more about resource properties and how to use them, see Inputs and Outputs in the Architecture and Concepts docs.
Inputs
The DlpJob resource accepts the following input properties:
- Inspect
Job Pulumi.Google Native. DLP. V2. Inputs. Google Privacy Dlp V2Inspect Job Config - An inspection job scans a storage repository for InfoTypes.
- Job
Id string - The job id can contain uppercase and lowercase letters, numbers, and hyphens; that is, it must match the regular expression:
[a-zA-Z\d-_]+. The maximum length is 100 characters. Can be empty to allow the system to generate one. - Location string
- Deprecated. This field has no effect.
- Project string
- Risk
Job Pulumi.Google Native. DLP. V2. Inputs. Google Privacy Dlp V2Risk Analysis Job Config - A risk analysis job calculates re-identification risk metrics for a BigQuery table.
- Inspect
Job GooglePrivacy Dlp V2Inspect Job Config Args - An inspection job scans a storage repository for InfoTypes.
- Job
Id string - The job id can contain uppercase and lowercase letters, numbers, and hyphens; that is, it must match the regular expression:
[a-zA-Z\d-_]+. The maximum length is 100 characters. Can be empty to allow the system to generate one. - Location string
- Deprecated. This field has no effect.
- Project string
- Risk
Job GooglePrivacy Dlp V2Risk Analysis Job Config Args - A risk analysis job calculates re-identification risk metrics for a BigQuery table.
- inspect
Job GooglePrivacy Dlp V2Inspect Job Config - An inspection job scans a storage repository for InfoTypes.
- job
Id String - The job id can contain uppercase and lowercase letters, numbers, and hyphens; that is, it must match the regular expression:
[a-zA-Z\d-_]+. The maximum length is 100 characters. Can be empty to allow the system to generate one. - location String
- Deprecated. This field has no effect.
- project String
- risk
Job GooglePrivacy Dlp V2Risk Analysis Job Config - A risk analysis job calculates re-identification risk metrics for a BigQuery table.
- inspect
Job GooglePrivacy Dlp V2Inspect Job Config - An inspection job scans a storage repository for InfoTypes.
- job
Id string - The job id can contain uppercase and lowercase letters, numbers, and hyphens; that is, it must match the regular expression:
[a-zA-Z\d-_]+. The maximum length is 100 characters. Can be empty to allow the system to generate one. - location string
- Deprecated. This field has no effect.
- project string
- risk
Job GooglePrivacy Dlp V2Risk Analysis Job Config - A risk analysis job calculates re-identification risk metrics for a BigQuery table.
- inspect_
job GooglePrivacy Dlp V2Inspect Job Config Args - An inspection job scans a storage repository for InfoTypes.
- job_
id str - The job id can contain uppercase and lowercase letters, numbers, and hyphens; that is, it must match the regular expression:
[a-zA-Z\d-_]+. The maximum length is 100 characters. Can be empty to allow the system to generate one. - location str
- Deprecated. This field has no effect.
- project str
- risk_
job GooglePrivacy Dlp V2Risk Analysis Job Config Args - A risk analysis job calculates re-identification risk metrics for a BigQuery table.
- inspect
Job Property Map - An inspection job scans a storage repository for InfoTypes.
- job
Id String - The job id can contain uppercase and lowercase letters, numbers, and hyphens; that is, it must match the regular expression:
[a-zA-Z\d-_]+. The maximum length is 100 characters. Can be empty to allow the system to generate one. - location String
- Deprecated. This field has no effect.
- project String
- risk
Job Property Map - A risk analysis job calculates re-identification risk metrics for a BigQuery table.
Outputs
All input properties are implicitly available as output properties. Additionally, the DlpJob resource produces the following output properties:
- Action
Details List<Pulumi.Google Native. DLP. V2. Outputs. Google Privacy Dlp V2Action Details Response> - Events that should occur after the job has completed.
- Create
Time string - Time when the job was created.
- End
Time string - Time when the job finished.
- Errors
List<Pulumi.
Google Native. DLP. V2. Outputs. Google Privacy Dlp V2Error Response> - A stream of errors encountered running the job.
- Id string
- The provider-assigned unique ID for this managed resource.
- Inspect
Details Pulumi.Google Native. DLP. V2. Outputs. Google Privacy Dlp V2Inspect Data Source Details Response - Results from inspecting a data source.
- Job
Trigger stringName - If created by a job trigger, the resource name of the trigger that instantiated the job.
- Last
Modified string - Time when the job was last modified by the system.
- Name string
- The server-assigned name.
- Risk
Details Pulumi.Google Native. DLP. V2. Outputs. Google Privacy Dlp V2Analyze Data Source Risk Details Response - Results from analyzing risk of a data source.
- Start
Time string - Time when the job started.
- State string
- State of a job.
- Type string
- The type of job.
- Action
Details []GooglePrivacy Dlp V2Action Details Response - Events that should occur after the job has completed.
- Create
Time string - Time when the job was created.
- End
Time string - Time when the job finished.
- Errors
[]Google
Privacy Dlp V2Error Response - A stream of errors encountered running the job.
- Id string
- The provider-assigned unique ID for this managed resource.
- Inspect
Details GooglePrivacy Dlp V2Inspect Data Source Details Response - Results from inspecting a data source.
- Job
Trigger stringName - If created by a job trigger, the resource name of the trigger that instantiated the job.
- Last
Modified string - Time when the job was last modified by the system.
- Name string
- The server-assigned name.
- Risk
Details GooglePrivacy Dlp V2Analyze Data Source Risk Details Response - Results from analyzing risk of a data source.
- Start
Time string - Time when the job started.
- State string
- State of a job.
- Type string
- The type of job.
- action
Details List<GooglePrivacy Dlp V2Action Details Response> - Events that should occur after the job has completed.
- create
Time String - Time when the job was created.
- end
Time String - Time when the job finished.
- errors
List<Google
Privacy Dlp V2Error Response> - A stream of errors encountered running the job.
- id String
- The provider-assigned unique ID for this managed resource.
- inspect
Details GooglePrivacy Dlp V2Inspect Data Source Details Response - Results from inspecting a data source.
- job
Trigger StringName - If created by a job trigger, the resource name of the trigger that instantiated the job.
- last
Modified String - Time when the job was last modified by the system.
- name String
- The server-assigned name.
- risk
Details GooglePrivacy Dlp V2Analyze Data Source Risk Details Response - Results from analyzing risk of a data source.
- start
Time String - Time when the job started.
- state String
- State of a job.
- type String
- The type of job.
- action
Details GooglePrivacy Dlp V2Action Details Response[] - Events that should occur after the job has completed.
- create
Time string - Time when the job was created.
- end
Time string - Time when the job finished.
- errors
Google
Privacy Dlp V2Error Response[] - A stream of errors encountered running the job.
- id string
- The provider-assigned unique ID for this managed resource.
- inspect
Details GooglePrivacy Dlp V2Inspect Data Source Details Response - Results from inspecting a data source.
- job
Trigger stringName - If created by a job trigger, the resource name of the trigger that instantiated the job.
- last
Modified string - Time when the job was last modified by the system.
- name string
- The server-assigned name.
- risk
Details GooglePrivacy Dlp V2Analyze Data Source Risk Details Response - Results from analyzing risk of a data source.
- start
Time string - Time when the job started.
- state string
- State of a job.
- type string
- The type of job.
- action_
details Sequence[GooglePrivacy Dlp V2Action Details Response] - Events that should occur after the job has completed.
- create_
time str - Time when the job was created.
- end_
time str - Time when the job finished.
- errors
Sequence[Google
Privacy Dlp V2Error Response] - A stream of errors encountered running the job.
- id str
- The provider-assigned unique ID for this managed resource.
- inspect_
details GooglePrivacy Dlp V2Inspect Data Source Details Response - Results from inspecting a data source.
- job_
trigger_ strname - If created by a job trigger, the resource name of the trigger that instantiated the job.
- last_
modified str - Time when the job was last modified by the system.
- name str
- The server-assigned name.
- risk_
details GooglePrivacy Dlp V2Analyze Data Source Risk Details Response - Results from analyzing risk of a data source.
- start_
time str - Time when the job started.
- state str
- State of a job.
- type str
- The type of job.
- action
Details List<Property Map> - Events that should occur after the job has completed.
- create
Time String - Time when the job was created.
- end
Time String - Time when the job finished.
- errors List<Property Map>
- A stream of errors encountered running the job.
- id String
- The provider-assigned unique ID for this managed resource.
- inspect
Details Property Map - Results from inspecting a data source.
- job
Trigger StringName - If created by a job trigger, the resource name of the trigger that instantiated the job.
- last
Modified String - Time when the job was last modified by the system.
- name String
- The server-assigned name.
- risk
Details Property Map - Results from analyzing risk of a data source.
- start
Time String - Time when the job started.
- state String
- State of a job.
- type String
- The type of job.
Supporting Types
GooglePrivacyDlpV2Action, GooglePrivacyDlpV2ActionArgs
- Deidentify
Pulumi.
Google Native. DLP. V2. Inputs. Google Privacy Dlp V2Deidentify - Create a de-identified copy of the input data.
- Job
Notification Pulumi.Emails Google Native. DLP. V2. Inputs. Google Privacy Dlp V2Job Notification Emails - Sends an email when the job completes. The email goes to IAM project owners and technical Essential Contacts.
- Pub
Sub Pulumi.Google Native. DLP. V2. Inputs. Google Privacy Dlp V2Publish To Pub Sub - Publish a notification to a Pub/Sub topic.
- Publish
Findings Pulumi.To Cloud Data Catalog Google Native. DLP. V2. Inputs. Google Privacy Dlp V2Publish Findings To Cloud Data Catalog - Publish findings to Cloud Datahub.
- Publish
Summary Pulumi.To Cscc Google Native. DLP. V2. Inputs. Google Privacy Dlp V2Publish Summary To Cscc - Publish summary to Cloud Security Command Center (Alpha).
- Publish
To Pulumi.Stackdriver Google Native. DLP. V2. Inputs. Google Privacy Dlp V2Publish To Stackdriver - Enable Stackdriver metric dlp.googleapis.com/finding_count.
- Save
Findings Pulumi.Google Native. DLP. V2. Inputs. Google Privacy Dlp V2Save Findings - Save resulting findings in a provided location.
- Deidentify
Google
Privacy Dlp V2Deidentify - Create a de-identified copy of the input data.
- Job
Notification GoogleEmails Privacy Dlp V2Job Notification Emails - Sends an email when the job completes. The email goes to IAM project owners and technical Essential Contacts.
- Pub
Sub GooglePrivacy Dlp V2Publish To Pub Sub - Publish a notification to a Pub/Sub topic.
- Publish
Findings GoogleTo Cloud Data Catalog Privacy Dlp V2Publish Findings To Cloud Data Catalog - Publish findings to Cloud Datahub.
- Publish
Summary GoogleTo Cscc Privacy Dlp V2Publish Summary To Cscc - Publish summary to Cloud Security Command Center (Alpha).
- Publish
To GoogleStackdriver Privacy Dlp V2Publish To Stackdriver - Enable Stackdriver metric dlp.googleapis.com/finding_count.
- Save
Findings GooglePrivacy Dlp V2Save Findings - Save resulting findings in a provided location.
- deidentify
Google
Privacy Dlp V2Deidentify - Create a de-identified copy of the input data.
- job
Notification GoogleEmails Privacy Dlp V2Job Notification Emails - Sends an email when the job completes. The email goes to IAM project owners and technical Essential Contacts.
- pub
Sub GooglePrivacy Dlp V2Publish To Pub Sub - Publish a notification to a Pub/Sub topic.
- publish
Findings GoogleTo Cloud Data Catalog Privacy Dlp V2Publish Findings To Cloud Data Catalog - Publish findings to Cloud Datahub.
- publish
Summary GoogleTo Cscc Privacy Dlp V2Publish Summary To Cscc - Publish summary to Cloud Security Command Center (Alpha).
- publish
To GoogleStackdriver Privacy Dlp V2Publish To Stackdriver - Enable Stackdriver metric dlp.googleapis.com/finding_count.
- save
Findings GooglePrivacy Dlp V2Save Findings - Save resulting findings in a provided location.
- deidentify
Google
Privacy Dlp V2Deidentify - Create a de-identified copy of the input data.
- job
Notification GoogleEmails Privacy Dlp V2Job Notification Emails - Sends an email when the job completes. The email goes to IAM project owners and technical Essential Contacts.
- pub
Sub GooglePrivacy Dlp V2Publish To Pub Sub - Publish a notification to a Pub/Sub topic.
- publish
Findings GoogleTo Cloud Data Catalog Privacy Dlp V2Publish Findings To Cloud Data Catalog - Publish findings to Cloud Datahub.
- publish
Summary GoogleTo Cscc Privacy Dlp V2Publish Summary To Cscc - Publish summary to Cloud Security Command Center (Alpha).
- publish
To GoogleStackdriver Privacy Dlp V2Publish To Stackdriver - Enable Stackdriver metric dlp.googleapis.com/finding_count.
- save
Findings GooglePrivacy Dlp V2Save Findings - Save resulting findings in a provided location.
- deidentify
Google
Privacy Dlp V2Deidentify - Create a de-identified copy of the input data.
- job_
notification_ Googleemails Privacy Dlp V2Job Notification Emails - Sends an email when the job completes. The email goes to IAM project owners and technical Essential Contacts.
- pub_
sub GooglePrivacy Dlp V2Publish To Pub Sub - Publish a notification to a Pub/Sub topic.
- publish_
findings_ Googleto_ cloud_ data_ catalog Privacy Dlp V2Publish Findings To Cloud Data Catalog - Publish findings to Cloud Datahub.
- publish_
summary_ Googleto_ cscc Privacy Dlp V2Publish Summary To Cscc - Publish summary to Cloud Security Command Center (Alpha).
- publish_
to_ Googlestackdriver Privacy Dlp V2Publish To Stackdriver - Enable Stackdriver metric dlp.googleapis.com/finding_count.
- save_
findings GooglePrivacy Dlp V2Save Findings - Save resulting findings in a provided location.
- deidentify Property Map
- Create a de-identified copy of the input data.
- job
Notification Property MapEmails - Sends an email when the job completes. The email goes to IAM project owners and technical Essential Contacts.
- pub
Sub Property Map - Publish a notification to a Pub/Sub topic.
- publish
Findings Property MapTo Cloud Data Catalog - Publish findings to Cloud Datahub.
- publish
Summary Property MapTo Cscc - Publish summary to Cloud Security Command Center (Alpha).
- publish
To Property MapStackdriver - Enable Stackdriver metric dlp.googleapis.com/finding_count.
- save
Findings Property Map - Save resulting findings in a provided location.
GooglePrivacyDlpV2ActionDetailsResponse, GooglePrivacyDlpV2ActionDetailsResponseArgs
- Deidentify
Details Pulumi.Google Native. DLP. V2. Inputs. Google Privacy Dlp V2Deidentify Data Source Details Response - Outcome of a de-identification action.
- Deidentify
Details GooglePrivacy Dlp V2Deidentify Data Source Details Response - Outcome of a de-identification action.
- deidentify
Details GooglePrivacy Dlp V2Deidentify Data Source Details Response - Outcome of a de-identification action.
- deidentify
Details GooglePrivacy Dlp V2Deidentify Data Source Details Response - Outcome of a de-identification action.
- deidentify_
details GooglePrivacy Dlp V2Deidentify Data Source Details Response - Outcome of a de-identification action.
- deidentify
Details Property Map - Outcome of a de-identification action.
GooglePrivacyDlpV2ActionResponse, GooglePrivacyDlpV2ActionResponseArgs
- Deidentify
Pulumi.
Google Native. DLP. V2. Inputs. Google Privacy Dlp V2Deidentify Response - Create a de-identified copy of the input data.
- Job
Notification Pulumi.Emails Google Native. DLP. V2. Inputs. Google Privacy Dlp V2Job Notification Emails Response - Sends an email when the job completes. The email goes to IAM project owners and technical Essential Contacts.
- Pub
Sub Pulumi.Google Native. DLP. V2. Inputs. Google Privacy Dlp V2Publish To Pub Sub Response - Publish a notification to a Pub/Sub topic.
- Publish
Findings Pulumi.To Cloud Data Catalog Google Native. DLP. V2. Inputs. Google Privacy Dlp V2Publish Findings To Cloud Data Catalog Response - Publish findings to Cloud Datahub.
- Publish
Summary Pulumi.To Cscc Google Native. DLP. V2. Inputs. Google Privacy Dlp V2Publish Summary To Cscc Response - Publish summary to Cloud Security Command Center (Alpha).
- Publish
To Pulumi.Stackdriver Google Native. DLP. V2. Inputs. Google Privacy Dlp V2Publish To Stackdriver Response - Enable Stackdriver metric dlp.googleapis.com/finding_count.
- Save
Findings Pulumi.Google Native. DLP. V2. Inputs. Google Privacy Dlp V2Save Findings Response - Save resulting findings in a provided location.
- Deidentify
Google
Privacy Dlp V2Deidentify Response - Create a de-identified copy of the input data.
- Job
Notification GoogleEmails Privacy Dlp V2Job Notification Emails Response - Sends an email when the job completes. The email goes to IAM project owners and technical Essential Contacts.
- Pub
Sub GooglePrivacy Dlp V2Publish To Pub Sub Response - Publish a notification to a Pub/Sub topic.
- Publish
Findings GoogleTo Cloud Data Catalog Privacy Dlp V2Publish Findings To Cloud Data Catalog Response - Publish findings to Cloud Datahub.
- Publish
Summary GoogleTo Cscc Privacy Dlp V2Publish Summary To Cscc Response - Publish summary to Cloud Security Command Center (Alpha).
- Publish
To GoogleStackdriver Privacy Dlp V2Publish To Stackdriver Response - Enable Stackdriver metric dlp.googleapis.com/finding_count.
- Save
Findings GooglePrivacy Dlp V2Save Findings Response - Save resulting findings in a provided location.
- deidentify
Google
Privacy Dlp V2Deidentify Response - Create a de-identified copy of the input data.
- job
Notification GoogleEmails Privacy Dlp V2Job Notification Emails Response - Sends an email when the job completes. The email goes to IAM project owners and technical Essential Contacts.
- pub
Sub GooglePrivacy Dlp V2Publish To Pub Sub Response - Publish a notification to a Pub/Sub topic.
- publish
Findings GoogleTo Cloud Data Catalog Privacy Dlp V2Publish Findings To Cloud Data Catalog Response - Publish findings to Cloud Datahub.
- publish
Summary GoogleTo Cscc Privacy Dlp V2Publish Summary To Cscc Response - Publish summary to Cloud Security Command Center (Alpha).
- publish
To GoogleStackdriver Privacy Dlp V2Publish To Stackdriver Response - Enable Stackdriver metric dlp.googleapis.com/finding_count.
- save
Findings GooglePrivacy Dlp V2Save Findings Response - Save resulting findings in a provided location.
- deidentify
Google
Privacy Dlp V2Deidentify Response - Create a de-identified copy of the input data.
- job
Notification GoogleEmails Privacy Dlp V2Job Notification Emails Response - Sends an email when the job completes. The email goes to IAM project owners and technical Essential Contacts.
- pub
Sub GooglePrivacy Dlp V2Publish To Pub Sub Response - Publish a notification to a Pub/Sub topic.
- publish
Findings GoogleTo Cloud Data Catalog Privacy Dlp V2Publish Findings To Cloud Data Catalog Response - Publish findings to Cloud Datahub.
- publish
Summary GoogleTo Cscc Privacy Dlp V2Publish Summary To Cscc Response - Publish summary to Cloud Security Command Center (Alpha).
- publish
To GoogleStackdriver Privacy Dlp V2Publish To Stackdriver Response - Enable Stackdriver metric dlp.googleapis.com/finding_count.
- save
Findings GooglePrivacy Dlp V2Save Findings Response - Save resulting findings in a provided location.
- deidentify
Google
Privacy Dlp V2Deidentify Response - Create a de-identified copy of the input data.
- job_
notification_ Googleemails Privacy Dlp V2Job Notification Emails Response - Sends an email when the job completes. The email goes to IAM project owners and technical Essential Contacts.
- pub_
sub GooglePrivacy Dlp V2Publish To Pub Sub Response - Publish a notification to a Pub/Sub topic.
- publish_
findings_ Googleto_ cloud_ data_ catalog Privacy Dlp V2Publish Findings To Cloud Data Catalog Response - Publish findings to Cloud Datahub.
- publish_
summary_ Googleto_ cscc Privacy Dlp V2Publish Summary To Cscc Response - Publish summary to Cloud Security Command Center (Alpha).
- publish_
to_ Googlestackdriver Privacy Dlp V2Publish To Stackdriver Response - Enable Stackdriver metric dlp.googleapis.com/finding_count.
- save_
findings GooglePrivacy Dlp V2Save Findings Response - Save resulting findings in a provided location.
- deidentify Property Map
- Create a de-identified copy of the input data.
- job
Notification Property MapEmails - Sends an email when the job completes. The email goes to IAM project owners and technical Essential Contacts.
- pub
Sub Property Map - Publish a notification to a Pub/Sub topic.
- publish
Findings Property MapTo Cloud Data Catalog - Publish findings to Cloud Datahub.
- publish
Summary Property MapTo Cscc - Publish summary to Cloud Security Command Center (Alpha).
- publish
To Property MapStackdriver - Enable Stackdriver metric dlp.googleapis.com/finding_count.
- save
Findings Property Map - Save resulting findings in a provided location.
GooglePrivacyDlpV2AnalyzeDataSourceRiskDetailsResponse, GooglePrivacyDlpV2AnalyzeDataSourceRiskDetailsResponseArgs
- Categorical
Stats Pulumi.Result Google Native. DLP. V2. Inputs. Google Privacy Dlp V2Categorical Stats Result Response - Categorical stats result
- Delta
Presence Pulumi.Estimation Result Google Native. DLP. V2. Inputs. Google Privacy Dlp V2Delta Presence Estimation Result Response - Delta-presence result
- KAnonymity
Result Pulumi.Google Native. DLP. V2. Inputs. Google Privacy Dlp V2KAnonymity Result Response - K-anonymity result
- KMap
Estimation Pulumi.Result Google Native. DLP. V2. Inputs. Google Privacy Dlp V2KMap Estimation Result Response - K-map result
- LDiversity
Result Pulumi.Google Native. DLP. V2. Inputs. Google Privacy Dlp V2LDiversity Result Response - L-divesity result
- Numerical
Stats Pulumi.Result Google Native. DLP. V2. Inputs. Google Privacy Dlp V2Numerical Stats Result Response - Numerical stats result
- Requested
Options Pulumi.Google Native. DLP. V2. Inputs. Google Privacy Dlp V2Requested Risk Analysis Options Response - The configuration used for this job.
- Requested
Privacy Pulumi.Metric Google Native. DLP. V2. Inputs. Google Privacy Dlp V2Privacy Metric Response - Privacy metric to compute.
- Requested
Source Pulumi.Table Google Native. DLP. V2. Inputs. Google Privacy Dlp V2Big Query Table Response - Input dataset to compute metrics over.
- Categorical
Stats GoogleResult Privacy Dlp V2Categorical Stats Result Response - Categorical stats result
- Delta
Presence GoogleEstimation Result Privacy Dlp V2Delta Presence Estimation Result Response - Delta-presence result
- KAnonymity
Result GooglePrivacy Dlp V2KAnonymity Result Response - K-anonymity result
- KMap
Estimation GoogleResult Privacy Dlp V2KMap Estimation Result Response - K-map result
- LDiversity
Result GooglePrivacy Dlp V2LDiversity Result Response - L-divesity result
- Numerical
Stats GoogleResult Privacy Dlp V2Numerical Stats Result Response - Numerical stats result
- Requested
Options GooglePrivacy Dlp V2Requested Risk Analysis Options Response - The configuration used for this job.
- Requested
Privacy GoogleMetric Privacy Dlp V2Privacy Metric Response - Privacy metric to compute.
- Requested
Source GoogleTable Privacy Dlp V2Big Query Table Response - Input dataset to compute metrics over.
- categorical
Stats GoogleResult Privacy Dlp V2Categorical Stats Result Response - Categorical stats result
- delta
Presence GoogleEstimation Result Privacy Dlp V2Delta Presence Estimation Result Response - Delta-presence result
- k
Anonymity GoogleResult Privacy Dlp V2KAnonymity Result Response - K-anonymity result
- k
Map GoogleEstimation Result Privacy Dlp V2KMap Estimation Result Response - K-map result
- l
Diversity GoogleResult Privacy Dlp V2LDiversity Result Response - L-divesity result
- numerical
Stats GoogleResult Privacy Dlp V2Numerical Stats Result Response - Numerical stats result
- requested
Options GooglePrivacy Dlp V2Requested Risk Analysis Options Response - The configuration used for this job.
- requested
Privacy GoogleMetric Privacy Dlp V2Privacy Metric Response - Privacy metric to compute.
- requested
Source GoogleTable Privacy Dlp V2Big Query Table Response - Input dataset to compute metrics over.
- categorical
Stats GoogleResult Privacy Dlp V2Categorical Stats Result Response - Categorical stats result
- delta
Presence GoogleEstimation Result Privacy Dlp V2Delta Presence Estimation Result Response - Delta-presence result
- k
Anonymity GoogleResult Privacy Dlp V2KAnonymity Result Response - K-anonymity result
- k
Map GoogleEstimation Result Privacy Dlp V2KMap Estimation Result Response - K-map result
- l
Diversity GoogleResult Privacy Dlp V2LDiversity Result Response - L-divesity result
- numerical
Stats GoogleResult Privacy Dlp V2Numerical Stats Result Response - Numerical stats result
- requested
Options GooglePrivacy Dlp V2Requested Risk Analysis Options Response - The configuration used for this job.
- requested
Privacy GoogleMetric Privacy Dlp V2Privacy Metric Response - Privacy metric to compute.
- requested
Source GoogleTable Privacy Dlp V2Big Query Table Response - Input dataset to compute metrics over.
- categorical_
stats_ Googleresult Privacy Dlp V2Categorical Stats Result Response - Categorical stats result
- delta_
presence_ Googleestimation_ result Privacy Dlp V2Delta Presence Estimation Result Response - Delta-presence result
- k_
anonymity_ Googleresult Privacy Dlp V2KAnonymity Result Response - K-anonymity result
- k_
map_ Googleestimation_ result Privacy Dlp V2KMap Estimation Result Response - K-map result
- l_
diversity_ Googleresult Privacy Dlp V2LDiversity Result Response - L-divesity result
- numerical_
stats_ Googleresult Privacy Dlp V2Numerical Stats Result Response - Numerical stats result
- requested_
options GooglePrivacy Dlp V2Requested Risk Analysis Options Response - The configuration used for this job.
- requested_
privacy_ Googlemetric Privacy Dlp V2Privacy Metric Response - Privacy metric to compute.
- requested_
source_ Googletable Privacy Dlp V2Big Query Table Response - Input dataset to compute metrics over.
- categorical
Stats Property MapResult - Categorical stats result
- delta
Presence Property MapEstimation Result - Delta-presence result
- k
Anonymity Property MapResult - K-anonymity result
- k
Map Property MapEstimation Result - K-map result
- l
Diversity Property MapResult - L-divesity result
- numerical
Stats Property MapResult - Numerical stats result
- requested
Options Property Map - The configuration used for this job.
- requested
Privacy Property MapMetric - Privacy metric to compute.
- requested
Source Property MapTable - Input dataset to compute metrics over.
GooglePrivacyDlpV2AuxiliaryTable, GooglePrivacyDlpV2AuxiliaryTableArgs
- Quasi
Ids List<Pulumi.Google Native. DLP. V2. Inputs. Google Privacy Dlp V2Quasi Id Field> - Quasi-identifier columns.
- Relative
Frequency Pulumi.Google Native. DLP. V2. Inputs. Google Privacy Dlp V2Field Id - The relative frequency column must contain a floating-point number between 0 and 1 (inclusive). Null values are assumed to be zero.
- Table
Pulumi.
Google Native. DLP. V2. Inputs. Google Privacy Dlp V2Big Query Table - Auxiliary table location.
- Quasi
Ids []GooglePrivacy Dlp V2Quasi Id Field - Quasi-identifier columns.
- Relative
Frequency GooglePrivacy Dlp V2Field Id - The relative frequency column must contain a floating-point number between 0 and 1 (inclusive). Null values are assumed to be zero.
- Table
Google
Privacy Dlp V2Big Query Table - Auxiliary table location.
- quasi
Ids List<GooglePrivacy Dlp V2Quasi Id Field> - Quasi-identifier columns.
- relative
Frequency GooglePrivacy Dlp V2Field Id - The relative frequency column must contain a floating-point number between 0 and 1 (inclusive). Null values are assumed to be zero.
- table
Google
Privacy Dlp V2Big Query Table - Auxiliary table location.
- quasi
Ids GooglePrivacy Dlp V2Quasi Id Field[] - Quasi-identifier columns.
- relative
Frequency GooglePrivacy Dlp V2Field Id - The relative frequency column must contain a floating-point number between 0 and 1 (inclusive). Null values are assumed to be zero.
- table
Google
Privacy Dlp V2Big Query Table - Auxiliary table location.
- quasi_
ids Sequence[GooglePrivacy Dlp V2Quasi Id Field] - Quasi-identifier columns.
- relative_
frequency GooglePrivacy Dlp V2Field Id - The relative frequency column must contain a floating-point number between 0 and 1 (inclusive). Null values are assumed to be zero.
- table
Google
Privacy Dlp V2Big Query Table - Auxiliary table location.
- quasi
Ids List<Property Map> - Quasi-identifier columns.
- relative
Frequency Property Map - The relative frequency column must contain a floating-point number between 0 and 1 (inclusive). Null values are assumed to be zero.
- table Property Map
- Auxiliary table location.
GooglePrivacyDlpV2AuxiliaryTableResponse, GooglePrivacyDlpV2AuxiliaryTableResponseArgs
- Quasi
Ids List<Pulumi.Google Native. DLP. V2. Inputs. Google Privacy Dlp V2Quasi Id Field Response> - Quasi-identifier columns.
- Relative
Frequency Pulumi.Google Native. DLP. V2. Inputs. Google Privacy Dlp V2Field Id Response - The relative frequency column must contain a floating-point number between 0 and 1 (inclusive). Null values are assumed to be zero.
- Table
Pulumi.
Google Native. DLP. V2. Inputs. Google Privacy Dlp V2Big Query Table Response - Auxiliary table location.
- Quasi
Ids []GooglePrivacy Dlp V2Quasi Id Field Response - Quasi-identifier columns.
- Relative
Frequency GooglePrivacy Dlp V2Field Id Response - The relative frequency column must contain a floating-point number between 0 and 1 (inclusive). Null values are assumed to be zero.
- Table
Google
Privacy Dlp V2Big Query Table Response - Auxiliary table location.
- quasi
Ids List<GooglePrivacy Dlp V2Quasi Id Field Response> - Quasi-identifier columns.
- relative
Frequency GooglePrivacy Dlp V2Field Id Response - The relative frequency column must contain a floating-point number between 0 and 1 (inclusive). Null values are assumed to be zero.
- table
Google
Privacy Dlp V2Big Query Table Response - Auxiliary table location.
- quasi
Ids GooglePrivacy Dlp V2Quasi Id Field Response[] - Quasi-identifier columns.
- relative
Frequency GooglePrivacy Dlp V2Field Id Response - The relative frequency column must contain a floating-point number between 0 and 1 (inclusive). Null values are assumed to be zero.
- table
Google
Privacy Dlp V2Big Query Table Response - Auxiliary table location.
- quasi_
ids Sequence[GooglePrivacy Dlp V2Quasi Id Field Response] - Quasi-identifier columns.
- relative_
frequency GooglePrivacy Dlp V2Field Id Response - The relative frequency column must contain a floating-point number between 0 and 1 (inclusive). Null values are assumed to be zero.
- table
Google
Privacy Dlp V2Big Query Table Response - Auxiliary table location.
- quasi
Ids List<Property Map> - Quasi-identifier columns.
- relative
Frequency Property Map - The relative frequency column must contain a floating-point number between 0 and 1 (inclusive). Null values are assumed to be zero.
- table Property Map
- Auxiliary table location.
GooglePrivacyDlpV2BigQueryOptions, GooglePrivacyDlpV2BigQueryOptionsArgs
- Excluded
Fields List<Pulumi.Google Native. DLP. V2. Inputs. Google Privacy Dlp V2Field Id> - References to fields excluded from scanning. This allows you to skip inspection of entire columns which you know have no findings. When inspecting a table, we recommend that you inspect all columns. Otherwise, findings might be affected because hints from excluded columns will not be used.
- Identifying
Fields List<Pulumi.Google Native. DLP. V2. Inputs. Google Privacy Dlp V2Field Id> - Table fields that may uniquely identify a row within the table. When
actions.saveFindings.outputConfig.tableis specified, the values of columns specified here are available in the output table underlocation.content_locations.record_location.record_key.id_values. Nested fields such asperson.birthdate.yearare allowed. - Included
Fields List<Pulumi.Google Native. DLP. V2. Inputs. Google Privacy Dlp V2Field Id> - Limit scanning only to these fields. When inspecting a table, we recommend that you inspect all columns. Otherwise, findings might be affected because hints from excluded columns will not be used.
- Rows
Limit string - Max number of rows to scan. If the table has more rows than this value, the rest of the rows are omitted. If not set, or if set to 0, all rows will be scanned. Only one of rows_limit and rows_limit_percent can be specified. Cannot be used in conjunction with TimespanConfig.
- Rows
Limit intPercent - Max percentage of rows to scan. The rest are omitted. The number of rows scanned is rounded down. Must be between 0 and 100, inclusively. Both 0 and 100 means no limit. Defaults to 0. Only one of rows_limit and rows_limit_percent can be specified. Cannot be used in conjunction with TimespanConfig.
- Sample
Method Pulumi.Google Native. DLP. V2. Google Privacy Dlp V2Big Query Options Sample Method - Table
Reference Pulumi.Google Native. DLP. V2. Inputs. Google Privacy Dlp V2Big Query Table - Complete BigQuery table reference.
- Excluded
Fields []GooglePrivacy Dlp V2Field Id - References to fields excluded from scanning. This allows you to skip inspection of entire columns which you know have no findings. When inspecting a table, we recommend that you inspect all columns. Otherwise, findings might be affected because hints from excluded columns will not be used.
- Identifying
Fields []GooglePrivacy Dlp V2Field Id - Table fields that may uniquely identify a row within the table. When
actions.saveFindings.outputConfig.tableis specified, the values of columns specified here are available in the output table underlocation.content_locations.record_location.record_key.id_values. Nested fields such asperson.birthdate.yearare allowed. - Included
Fields []GooglePrivacy Dlp V2Field Id - Limit scanning only to these fields. When inspecting a table, we recommend that you inspect all columns. Otherwise, findings might be affected because hints from excluded columns will not be used.
- Rows
Limit string - Max number of rows to scan. If the table has more rows than this value, the rest of the rows are omitted. If not set, or if set to 0, all rows will be scanned. Only one of rows_limit and rows_limit_percent can be specified. Cannot be used in conjunction with TimespanConfig.
- Rows
Limit intPercent - Max percentage of rows to scan. The rest are omitted. The number of rows scanned is rounded down. Must be between 0 and 100, inclusively. Both 0 and 100 means no limit. Defaults to 0. Only one of rows_limit and rows_limit_percent can be specified. Cannot be used in conjunction with TimespanConfig.
- Sample
Method GooglePrivacy Dlp V2Big Query Options Sample Method - Table
Reference GooglePrivacy Dlp V2Big Query Table - Complete BigQuery table reference.
- excluded
Fields List<GooglePrivacy Dlp V2Field Id> - References to fields excluded from scanning. This allows you to skip inspection of entire columns which you know have no findings. When inspecting a table, we recommend that you inspect all columns. Otherwise, findings might be affected because hints from excluded columns will not be used.
- identifying
Fields List<GooglePrivacy Dlp V2Field Id> - Table fields that may uniquely identify a row within the table. When
actions.saveFindings.outputConfig.tableis specified, the values of columns specified here are available in the output table underlocation.content_locations.record_location.record_key.id_values. Nested fields such asperson.birthdate.yearare allowed. - included
Fields List<GooglePrivacy Dlp V2Field Id> - Limit scanning only to these fields. When inspecting a table, we recommend that you inspect all columns. Otherwise, findings might be affected because hints from excluded columns will not be used.
- rows
Limit String - Max number of rows to scan. If the table has more rows than this value, the rest of the rows are omitted. If not set, or if set to 0, all rows will be scanned. Only one of rows_limit and rows_limit_percent can be specified. Cannot be used in conjunction with TimespanConfig.
- rows
Limit IntegerPercent - Max percentage of rows to scan. The rest are omitted. The number of rows scanned is rounded down. Must be between 0 and 100, inclusively. Both 0 and 100 means no limit. Defaults to 0. Only one of rows_limit and rows_limit_percent can be specified. Cannot be used in conjunction with TimespanConfig.
- sample
Method GooglePrivacy Dlp V2Big Query Options Sample Method - table
Reference GooglePrivacy Dlp V2Big Query Table - Complete BigQuery table reference.
- excluded
Fields GooglePrivacy Dlp V2Field Id[] - References to fields excluded from scanning. This allows you to skip inspection of entire columns which you know have no findings. When inspecting a table, we recommend that you inspect all columns. Otherwise, findings might be affected because hints from excluded columns will not be used.
- identifying
Fields GooglePrivacy Dlp V2Field Id[] - Table fields that may uniquely identify a row within the table. When
actions.saveFindings.outputConfig.tableis specified, the values of columns specified here are available in the output table underlocation.content_locations.record_location.record_key.id_values. Nested fields such asperson.birthdate.yearare allowed. - included
Fields GooglePrivacy Dlp V2Field Id[] - Limit scanning only to these fields. When inspecting a table, we recommend that you inspect all columns. Otherwise, findings might be affected because hints from excluded columns will not be used.
- rows
Limit string - Max number of rows to scan. If the table has more rows than this value, the rest of the rows are omitted. If not set, or if set to 0, all rows will be scanned. Only one of rows_limit and rows_limit_percent can be specified. Cannot be used in conjunction with TimespanConfig.
- rows
Limit numberPercent - Max percentage of rows to scan. The rest are omitted. The number of rows scanned is rounded down. Must be between 0 and 100, inclusively. Both 0 and 100 means no limit. Defaults to 0. Only one of rows_limit and rows_limit_percent can be specified. Cannot be used in conjunction with TimespanConfig.
- sample
Method GooglePrivacy Dlp V2Big Query Options Sample Method - table
Reference GooglePrivacy Dlp V2Big Query Table - Complete BigQuery table reference.
- excluded_
fields Sequence[GooglePrivacy Dlp V2Field Id] - References to fields excluded from scanning. This allows you to skip inspection of entire columns which you know have no findings. When inspecting a table, we recommend that you inspect all columns. Otherwise, findings might be affected because hints from excluded columns will not be used.
- identifying_
fields Sequence[GooglePrivacy Dlp V2Field Id] - Table fields that may uniquely identify a row within the table. When
actions.saveFindings.outputConfig.tableis specified, the values of columns specified here are available in the output table underlocation.content_locations.record_location.record_key.id_values. Nested fields such asperson.birthdate.yearare allowed. - included_
fields Sequence[GooglePrivacy Dlp V2Field Id] - Limit scanning only to these fields. When inspecting a table, we recommend that you inspect all columns. Otherwise, findings might be affected because hints from excluded columns will not be used.
- rows_
limit str - Max number of rows to scan. If the table has more rows than this value, the rest of the rows are omitted. If not set, or if set to 0, all rows will be scanned. Only one of rows_limit and rows_limit_percent can be specified. Cannot be used in conjunction with TimespanConfig.
- rows_
limit_ intpercent - Max percentage of rows to scan. The rest are omitted. The number of rows scanned is rounded down. Must be between 0 and 100, inclusively. Both 0 and 100 means no limit. Defaults to 0. Only one of rows_limit and rows_limit_percent can be specified. Cannot be used in conjunction with TimespanConfig.
- sample_
method GooglePrivacy Dlp V2Big Query Options Sample Method - table_
reference GooglePrivacy Dlp V2Big Query Table - Complete BigQuery table reference.
- excluded
Fields List<Property Map> - References to fields excluded from scanning. This allows you to skip inspection of entire columns which you know have no findings. When inspecting a table, we recommend that you inspect all columns. Otherwise, findings might be affected because hints from excluded columns will not be used.
- identifying
Fields List<Property Map> - Table fields that may uniquely identify a row within the table. When
actions.saveFindings.outputConfig.tableis specified, the values of columns specified here are available in the output table underlocation.content_locations.record_location.record_key.id_values. Nested fields such asperson.birthdate.yearare allowed. - included
Fields List<Property Map> - Limit scanning only to these fields. When inspecting a table, we recommend that you inspect all columns. Otherwise, findings might be affected because hints from excluded columns will not be used.
- rows
Limit String - Max number of rows to scan. If the table has more rows than this value, the rest of the rows are omitted. If not set, or if set to 0, all rows will be scanned. Only one of rows_limit and rows_limit_percent can be specified. Cannot be used in conjunction with TimespanConfig.
- rows
Limit NumberPercent - Max percentage of rows to scan. The rest are omitted. The number of rows scanned is rounded down. Must be between 0 and 100, inclusively. Both 0 and 100 means no limit. Defaults to 0. Only one of rows_limit and rows_limit_percent can be specified. Cannot be used in conjunction with TimespanConfig.
- sample
Method "SAMPLE_METHOD_UNSPECIFIED" | "TOP" | "RANDOM_START" - table
Reference Property Map - Complete BigQuery table reference.
GooglePrivacyDlpV2BigQueryOptionsResponse, GooglePrivacyDlpV2BigQueryOptionsResponseArgs
- Excluded
Fields List<Pulumi.Google Native. DLP. V2. Inputs. Google Privacy Dlp V2Field Id Response> - References to fields excluded from scanning. This allows you to skip inspection of entire columns which you know have no findings. When inspecting a table, we recommend that you inspect all columns. Otherwise, findings might be affected because hints from excluded columns will not be used.
- Identifying
Fields List<Pulumi.Google Native. DLP. V2. Inputs. Google Privacy Dlp V2Field Id Response> - Table fields that may uniquely identify a row within the table. When
actions.saveFindings.outputConfig.tableis specified, the values of columns specified here are available in the output table underlocation.content_locations.record_location.record_key.id_values. Nested fields such asperson.birthdate.yearare allowed. - Included
Fields List<Pulumi.Google Native. DLP. V2. Inputs. Google Privacy Dlp V2Field Id Response> - Limit scanning only to these fields. When inspecting a table, we recommend that you inspect all columns. Otherwise, findings might be affected because hints from excluded columns will not be used.
- Rows
Limit string - Max number of rows to scan. If the table has more rows than this value, the rest of the rows are omitted. If not set, or if set to 0, all rows will be scanned. Only one of rows_limit and rows_limit_percent can be specified. Cannot be used in conjunction with TimespanConfig.
- Rows
Limit intPercent - Max percentage of rows to scan. The rest are omitted. The number of rows scanned is rounded down. Must be between 0 and 100, inclusively. Both 0 and 100 means no limit. Defaults to 0. Only one of rows_limit and rows_limit_percent can be specified. Cannot be used in conjunction with TimespanConfig.
- Sample
Method string - Table
Reference Pulumi.Google Native. DLP. V2. Inputs. Google Privacy Dlp V2Big Query Table Response - Complete BigQuery table reference.
- Excluded
Fields []GooglePrivacy Dlp V2Field Id Response - References to fields excluded from scanning. This allows you to skip inspection of entire columns which you know have no findings. When inspecting a table, we recommend that you inspect all columns. Otherwise, findings might be affected because hints from excluded columns will not be used.
- Identifying
Fields []GooglePrivacy Dlp V2Field Id Response - Table fields that may uniquely identify a row within the table. When
actions.saveFindings.outputConfig.tableis specified, the values of columns specified here are available in the output table underlocation.content_locations.record_location.record_key.id_values. Nested fields such asperson.birthdate.yearare allowed. - Included
Fields []GooglePrivacy Dlp V2Field Id Response - Limit scanning only to these fields. When inspecting a table, we recommend that you inspect all columns. Otherwise, findings might be affected because hints from excluded columns will not be used.
- Rows
Limit string - Max number of rows to scan. If the table has more rows than this value, the rest of the rows are omitted. If not set, or if set to 0, all rows will be scanned. Only one of rows_limit and rows_limit_percent can be specified. Cannot be used in conjunction with TimespanConfig.
- Rows
Limit intPercent - Max percentage of rows to scan. The rest are omitted. The number of rows scanned is rounded down. Must be between 0 and 100, inclusively. Both 0 and 100 means no limit. Defaults to 0. Only one of rows_limit and rows_limit_percent can be specified. Cannot be used in conjunction with TimespanConfig.
- Sample
Method string - Table
Reference GooglePrivacy Dlp V2Big Query Table Response - Complete BigQuery table reference.
- excluded
Fields List<GooglePrivacy Dlp V2Field Id Response> - References to fields excluded from scanning. This allows you to skip inspection of entire columns which you know have no findings. When inspecting a table, we recommend that you inspect all columns. Otherwise, findings might be affected because hints from excluded columns will not be used.
- identifying
Fields List<GooglePrivacy Dlp V2Field Id Response> - Table fields that may uniquely identify a row within the table. When
actions.saveFindings.outputConfig.tableis specified, the values of columns specified here are available in the output table underlocation.content_locations.record_location.record_key.id_values. Nested fields such asperson.birthdate.yearare allowed. - included
Fields List<GooglePrivacy Dlp V2Field Id Response> - Limit scanning only to these fields. When inspecting a table, we recommend that you inspect all columns. Otherwise, findings might be affected because hints from excluded columns will not be used.
- rows
Limit String - Max number of rows to scan. If the table has more rows than this value, the rest of the rows are omitted. If not set, or if set to 0, all rows will be scanned. Only one of rows_limit and rows_limit_percent can be specified. Cannot be used in conjunction with TimespanConfig.
- rows
Limit IntegerPercent - Max percentage of rows to scan. The rest are omitted. The number of rows scanned is rounded down. Must be between 0 and 100, inclusively. Both 0 and 100 means no limit. Defaults to 0. Only one of rows_limit and rows_limit_percent can be specified. Cannot be used in conjunction with TimespanConfig.
- sample
Method String - table
Reference GooglePrivacy Dlp V2Big Query Table Response - Complete BigQuery table reference.
- excluded
Fields GooglePrivacy Dlp V2Field Id Response[] - References to fields excluded from scanning. This allows you to skip inspection of entire columns which you know have no findings. When inspecting a table, we recommend that you inspect all columns. Otherwise, findings might be affected because hints from excluded columns will not be used.
- identifying
Fields GooglePrivacy Dlp V2Field Id Response[] - Table fields that may uniquely identify a row within the table. When
actions.saveFindings.outputConfig.tableis specified, the values of columns specified here are available in the output table underlocation.content_locations.record_location.record_key.id_values. Nested fields such asperson.birthdate.yearare allowed. - included
Fields GooglePrivacy Dlp V2Field Id Response[] - Limit scanning only to these fields. When inspecting a table, we recommend that you inspect all columns. Otherwise, findings might be affected because hints from excluded columns will not be used.
- rows
Limit string - Max number of rows to scan. If the table has more rows than this value, the rest of the rows are omitted. If not set, or if set to 0, all rows will be scanned. Only one of rows_limit and rows_limit_percent can be specified. Cannot be used in conjunction with TimespanConfig.
- rows
Limit numberPercent - Max percentage of rows to scan. The rest are omitted. The number of rows scanned is rounded down. Must be between 0 and 100, inclusively. Both 0 and 100 means no limit. Defaults to 0. Only one of rows_limit and rows_limit_percent can be specified. Cannot be used in conjunction with TimespanConfig.
- sample
Method string - table
Reference GooglePrivacy Dlp V2Big Query Table Response - Complete BigQuery table reference.
- excluded_
fields Sequence[GooglePrivacy Dlp V2Field Id Response] - References to fields excluded from scanning. This allows you to skip inspection of entire columns which you know have no findings. When inspecting a table, we recommend that you inspect all columns. Otherwise, findings might be affected because hints from excluded columns will not be used.
- identifying_
fields Sequence[GooglePrivacy Dlp V2Field Id Response] - Table fields that may uniquely identify a row within the table. When
actions.saveFindings.outputConfig.tableis specified, the values of columns specified here are available in the output table underlocation.content_locations.record_location.record_key.id_values. Nested fields such asperson.birthdate.yearare allowed. - included_
fields Sequence[GooglePrivacy Dlp V2Field Id Response] - Limit scanning only to these fields. When inspecting a table, we recommend that you inspect all columns. Otherwise, findings might be affected because hints from excluded columns will not be used.
- rows_
limit str - Max number of rows to scan. If the table has more rows than this value, the rest of the rows are omitted. If not set, or if set to 0, all rows will be scanned. Only one of rows_limit and rows_limit_percent can be specified. Cannot be used in conjunction with TimespanConfig.
- rows_
limit_ intpercent - Max percentage of rows to scan. The rest are omitted. The number of rows scanned is rounded down. Must be between 0 and 100, inclusively. Both 0 and 100 means no limit. Defaults to 0. Only one of rows_limit and rows_limit_percent can be specified. Cannot be used in conjunction with TimespanConfig.
- sample_
method str - table_
reference GooglePrivacy Dlp V2Big Query Table Response - Complete BigQuery table reference.
- excluded
Fields List<Property Map> - References to fields excluded from scanning. This allows you to skip inspection of entire columns which you know have no findings. When inspecting a table, we recommend that you inspect all columns. Otherwise, findings might be affected because hints from excluded columns will not be used.
- identifying
Fields List<Property Map> - Table fields that may uniquely identify a row within the table. When
actions.saveFindings.outputConfig.tableis specified, the values of columns specified here are available in the output table underlocation.content_locations.record_location.record_key.id_values. Nested fields such asperson.birthdate.yearare allowed. - included
Fields List<Property Map> - Limit scanning only to these fields. When inspecting a table, we recommend that you inspect all columns. Otherwise, findings might be affected because hints from excluded columns will not be used.
- rows
Limit String - Max number of rows to scan. If the table has more rows than this value, the rest of the rows are omitted. If not set, or if set to 0, all rows will be scanned. Only one of rows_limit and rows_limit_percent can be specified. Cannot be used in conjunction with TimespanConfig.
- rows
Limit NumberPercent - Max percentage of rows to scan. The rest are omitted. The number of rows scanned is rounded down. Must be between 0 and 100, inclusively. Both 0 and 100 means no limit. Defaults to 0. Only one of rows_limit and rows_limit_percent can be specified. Cannot be used in conjunction with TimespanConfig.
- sample
Method String - table
Reference Property Map - Complete BigQuery table reference.
GooglePrivacyDlpV2BigQueryOptionsSampleMethod, GooglePrivacyDlpV2BigQueryOptionsSampleMethodArgs
- Sample
Method Unspecified - SAMPLE_METHOD_UNSPECIFIED
- Top
- TOPScan groups of rows in the order BigQuery provides (default). Multiple groups of rows may be scanned in parallel, so results may not appear in the same order the rows are read.
- Random
Start - RANDOM_STARTRandomly pick groups of rows to scan.
- Google
Privacy Dlp V2Big Query Options Sample Method Sample Method Unspecified - SAMPLE_METHOD_UNSPECIFIED
- Google
Privacy Dlp V2Big Query Options Sample Method Top - TOPScan groups of rows in the order BigQuery provides (default). Multiple groups of rows may be scanned in parallel, so results may not appear in the same order the rows are read.
- Google
Privacy Dlp V2Big Query Options Sample Method Random Start - RANDOM_STARTRandomly pick groups of rows to scan.
- Sample
Method Unspecified - SAMPLE_METHOD_UNSPECIFIED
- Top
- TOPScan groups of rows in the order BigQuery provides (default). Multiple groups of rows may be scanned in parallel, so results may not appear in the same order the rows are read.
- Random
Start - RANDOM_STARTRandomly pick groups of rows to scan.
- Sample
Method Unspecified - SAMPLE_METHOD_UNSPECIFIED
- Top
- TOPScan groups of rows in the order BigQuery provides (default). Multiple groups of rows may be scanned in parallel, so results may not appear in the same order the rows are read.
- Random
Start - RANDOM_STARTRandomly pick groups of rows to scan.
- SAMPLE_METHOD_UNSPECIFIED
- SAMPLE_METHOD_UNSPECIFIED
- TOP
- TOPScan groups of rows in the order BigQuery provides (default). Multiple groups of rows may be scanned in parallel, so results may not appear in the same order the rows are read.
- RANDOM_START
- RANDOM_STARTRandomly pick groups of rows to scan.
- "SAMPLE_METHOD_UNSPECIFIED"
- SAMPLE_METHOD_UNSPECIFIED
- "TOP"
- TOPScan groups of rows in the order BigQuery provides (default). Multiple groups of rows may be scanned in parallel, so results may not appear in the same order the rows are read.
- "RANDOM_START"
- RANDOM_STARTRandomly pick groups of rows to scan.
GooglePrivacyDlpV2BigQueryTable, GooglePrivacyDlpV2BigQueryTableArgs
- dataset_
id str - Dataset ID of the table.
- project str
- The Google Cloud Platform project ID of the project containing the table. If omitted, project ID is inferred from the API call.
- table_
id str - Name of the table.
GooglePrivacyDlpV2BigQueryTableResponse, GooglePrivacyDlpV2BigQueryTableResponseArgs
- dataset_
id str - Dataset ID of the table.
- project str
- The Google Cloud Platform project ID of the project containing the table. If omitted, project ID is inferred from the API call.
- table_
id str - Name of the table.
GooglePrivacyDlpV2BucketResponse, GooglePrivacyDlpV2BucketResponseArgs
- Max
Pulumi.
Google Native. DLP. V2. Inputs. Google Privacy Dlp V2Value Response - Upper bound of the range, exclusive; type must match min.
- Min
Pulumi.
Google Native. DLP. V2. Inputs. Google Privacy Dlp V2Value Response - Lower bound of the range, inclusive. Type should be the same as max if used.
- Replacement
Value Pulumi.Google Native. DLP. V2. Inputs. Google Privacy Dlp V2Value Response - Replacement value for this bucket.
- Max
Google
Privacy Dlp V2Value Response - Upper bound of the range, exclusive; type must match min.
- Min
Google
Privacy Dlp V2Value Response - Lower bound of the range, inclusive. Type should be the same as max if used.
- Replacement
Value GooglePrivacy Dlp V2Value Response - Replacement value for this bucket.
- max
Google
Privacy Dlp V2Value Response - Upper bound of the range, exclusive; type must match min.
- min
Google
Privacy Dlp V2Value Response - Lower bound of the range, inclusive. Type should be the same as max if used.
- replacement
Value GooglePrivacy Dlp V2Value Response - Replacement value for this bucket.
- max
Google
Privacy Dlp V2Value Response - Upper bound of the range, exclusive; type must match min.
- min
Google
Privacy Dlp V2Value Response - Lower bound of the range, inclusive. Type should be the same as max if used.
- replacement
Value GooglePrivacy Dlp V2Value Response - Replacement value for this bucket.
- max
Google
Privacy Dlp V2Value Response - Upper bound of the range, exclusive; type must match min.
- min
Google
Privacy Dlp V2Value Response - Lower bound of the range, inclusive. Type should be the same as max if used.
- replacement_
value GooglePrivacy Dlp V2Value Response - Replacement value for this bucket.
- max Property Map
- Upper bound of the range, exclusive; type must match min.
- min Property Map
- Lower bound of the range, inclusive. Type should be the same as max if used.
- replacement
Value Property Map - Replacement value for this bucket.
GooglePrivacyDlpV2BucketingConfigResponse, GooglePrivacyDlpV2BucketingConfigResponseArgs
- Buckets
List<Pulumi.
Google Native. DLP. V2. Inputs. Google Privacy Dlp V2Bucket Response> - Set of buckets. Ranges must be non-overlapping.
- Buckets
[]Google
Privacy Dlp V2Bucket Response - Set of buckets. Ranges must be non-overlapping.
- buckets
List<Google
Privacy Dlp V2Bucket Response> - Set of buckets. Ranges must be non-overlapping.
- buckets
Google
Privacy Dlp V2Bucket Response[] - Set of buckets. Ranges must be non-overlapping.
- buckets
Sequence[Google
Privacy Dlp V2Bucket Response] - Set of buckets. Ranges must be non-overlapping.
- buckets List<Property Map>
- Set of buckets. Ranges must be non-overlapping.
GooglePrivacyDlpV2CategoricalStatsConfig, GooglePrivacyDlpV2CategoricalStatsConfigArgs
- Field
Pulumi.
Google Native. DLP. V2. Inputs. Google Privacy Dlp V2Field Id - Field to compute categorical stats on. All column types are supported except for arrays and structs. However, it may be more informative to use NumericalStats when the field type is supported, depending on the data.
- Field
Google
Privacy Dlp V2Field Id - Field to compute categorical stats on. All column types are supported except for arrays and structs. However, it may be more informative to use NumericalStats when the field type is supported, depending on the data.
- field
Google
Privacy Dlp V2Field Id - Field to compute categorical stats on. All column types are supported except for arrays and structs. However, it may be more informative to use NumericalStats when the field type is supported, depending on the data.
- field
Google
Privacy Dlp V2Field Id - Field to compute categorical stats on. All column types are supported except for arrays and structs. However, it may be more informative to use NumericalStats when the field type is supported, depending on the data.
- field
Google
Privacy Dlp V2Field Id - Field to compute categorical stats on. All column types are supported except for arrays and structs. However, it may be more informative to use NumericalStats when the field type is supported, depending on the data.
- field Property Map
- Field to compute categorical stats on. All column types are supported except for arrays and structs. However, it may be more informative to use NumericalStats when the field type is supported, depending on the data.
GooglePrivacyDlpV2CategoricalStatsConfigResponse, GooglePrivacyDlpV2CategoricalStatsConfigResponseArgs
- Field
Pulumi.
Google Native. DLP. V2. Inputs. Google Privacy Dlp V2Field Id Response - Field to compute categorical stats on. All column types are supported except for arrays and structs. However, it may be more informative to use NumericalStats when the field type is supported, depending on the data.
- Field
Google
Privacy Dlp V2Field Id Response - Field to compute categorical stats on. All column types are supported except for arrays and structs. However, it may be more informative to use NumericalStats when the field type is supported, depending on the data.
- field
Google
Privacy Dlp V2Field Id Response - Field to compute categorical stats on. All column types are supported except for arrays and structs. However, it may be more informative to use NumericalStats when the field type is supported, depending on the data.
- field
Google
Privacy Dlp V2Field Id Response - Field to compute categorical stats on. All column types are supported except for arrays and structs. However, it may be more informative to use NumericalStats when the field type is supported, depending on the data.
- field
Google
Privacy Dlp V2Field Id Response - Field to compute categorical stats on. All column types are supported except for arrays and structs. However, it may be more informative to use NumericalStats when the field type is supported, depending on the data.
- field Property Map
- Field to compute categorical stats on. All column types are supported except for arrays and structs. However, it may be more informative to use NumericalStats when the field type is supported, depending on the data.
GooglePrivacyDlpV2CategoricalStatsHistogramBucketResponse, GooglePrivacyDlpV2CategoricalStatsHistogramBucketResponseArgs
- Bucket
Size string - Total number of values in this bucket.
- Bucket
Value stringCount - Total number of distinct values in this bucket.
- Bucket
Values List<Pulumi.Google Native. DLP. V2. Inputs. Google Privacy Dlp V2Value Frequency Response> - Sample of value frequencies in this bucket. The total number of values returned per bucket is capped at 20.
- Value
Frequency stringLower Bound - Lower bound on the value frequency of the values in this bucket.
- Value
Frequency stringUpper Bound - Upper bound on the value frequency of the values in this bucket.
- Bucket
Size string - Total number of values in this bucket.
- Bucket
Value stringCount - Total number of distinct values in this bucket.
- Bucket
Values []GooglePrivacy Dlp V2Value Frequency Response - Sample of value frequencies in this bucket. The total number of values returned per bucket is capped at 20.
- Value
Frequency stringLower Bound - Lower bound on the value frequency of the values in this bucket.
- Value
Frequency stringUpper Bound - Upper bound on the value frequency of the values in this bucket.
- bucket
Size String - Total number of values in this bucket.
- bucket
Value StringCount - Total number of distinct values in this bucket.
- bucket
Values List<GooglePrivacy Dlp V2Value Frequency Response> - Sample of value frequencies in this bucket. The total number of values returned per bucket is capped at 20.
- value
Frequency StringLower Bound - Lower bound on the value frequency of the values in this bucket.
- value
Frequency StringUpper Bound - Upper bound on the value frequency of the values in this bucket.
- bucket
Size string - Total number of values in this bucket.
- bucket
Value stringCount - Total number of distinct values in this bucket.
- bucket
Values GooglePrivacy Dlp V2Value Frequency Response[] - Sample of value frequencies in this bucket. The total number of values returned per bucket is capped at 20.
- value
Frequency stringLower Bound - Lower bound on the value frequency of the values in this bucket.
- value
Frequency stringUpper Bound - Upper bound on the value frequency of the values in this bucket.
- bucket_
size str - Total number of values in this bucket.
- bucket_
value_ strcount - Total number of distinct values in this bucket.
- bucket_
values Sequence[GooglePrivacy Dlp V2Value Frequency Response] - Sample of value frequencies in this bucket. The total number of values returned per bucket is capped at 20.
- value_
frequency_ strlower_ bound - Lower bound on the value frequency of the values in this bucket.
- value_
frequency_ strupper_ bound - Upper bound on the value frequency of the values in this bucket.
- bucket
Size String - Total number of values in this bucket.
- bucket
Value StringCount - Total number of distinct values in this bucket.
- bucket
Values List<Property Map> - Sample of value frequencies in this bucket. The total number of values returned per bucket is capped at 20.
- value
Frequency StringLower Bound - Lower bound on the value frequency of the values in this bucket.
- value
Frequency StringUpper Bound - Upper bound on the value frequency of the values in this bucket.
GooglePrivacyDlpV2CategoricalStatsResultResponse, GooglePrivacyDlpV2CategoricalStatsResultResponseArgs
- Value
Frequency List<Pulumi.Histogram Buckets Google Native. DLP. V2. Inputs. Google Privacy Dlp V2Categorical Stats Histogram Bucket Response> - Histogram of value frequencies in the column.
- Value
Frequency []GoogleHistogram Buckets Privacy Dlp V2Categorical Stats Histogram Bucket Response - Histogram of value frequencies in the column.
- value
Frequency List<GoogleHistogram Buckets Privacy Dlp V2Categorical Stats Histogram Bucket Response> - Histogram of value frequencies in the column.
- value
Frequency GoogleHistogram Buckets Privacy Dlp V2Categorical Stats Histogram Bucket Response[] - Histogram of value frequencies in the column.
- value_
frequency_ Sequence[Googlehistogram_ buckets Privacy Dlp V2Categorical Stats Histogram Bucket Response] - Histogram of value frequencies in the column.
- value
Frequency List<Property Map>Histogram Buckets - Histogram of value frequencies in the column.
GooglePrivacyDlpV2CharacterMaskConfigResponse, GooglePrivacyDlpV2CharacterMaskConfigResponseArgs
- Characters
To List<Pulumi.Ignore Google Native. DLP. V2. Inputs. Google Privacy Dlp V2Chars To Ignore Response> - When masking a string, items in this list will be skipped when replacing characters. For example, if the input string is
555-555-5555and you instruct Cloud DLP to skip-and mask 5 characters with*, Cloud DLP returns***-**5-5555. - Masking
Character string - Character to use to mask the sensitive values—for example,
*for an alphabetic string such as a name, or0for a numeric string such as ZIP code or credit card number. This string must have a length of 1. If not supplied, this value defaults to*for strings, and0for digits. - Number
To intMask - Number of characters to mask. If not set, all matching chars will be masked. Skipped characters do not count towards this tally. If
number_to_maskis negative, this denotes inverse masking. Cloud DLP masks all but a number of characters. For example, suppose you have the following values: -masking_characteris*-number_to_maskis-4-reverse_orderisfalse-CharsToIgnoreincludes-- Input string is1234-5678-9012-3456The resulting de-identified string is****-****-****-3456. Cloud DLP masks all but the last four characters. Ifreverse_orderistrue, all but the first four characters are masked as1234-****-****-****. - Reverse
Order bool - Mask characters in reverse order. For example, if
masking_characteris0,number_to_maskis14, andreverse_orderisfalse, then the input string1234-5678-9012-3456is masked as00000000000000-3456. Ifmasking_characteris*,number_to_maskis3, andreverse_orderistrue, then the string12345is masked as12***.
- Characters
To []GoogleIgnore Privacy Dlp V2Chars To Ignore Response - When masking a string, items in this list will be skipped when replacing characters. For example, if the input string is
555-555-5555and you instruct Cloud DLP to skip-and mask 5 characters with*, Cloud DLP returns***-**5-5555. - Masking
Character string - Character to use to mask the sensitive values—for example,
*for an alphabetic string such as a name, or0for a numeric string such as ZIP code or credit card number. This string must have a length of 1. If not supplied, this value defaults to*for strings, and0for digits. - Number
To intMask - Number of characters to mask. If not set, all matching chars will be masked. Skipped characters do not count towards this tally. If
number_to_maskis negative, this denotes inverse masking. Cloud DLP masks all but a number of characters. For example, suppose you have the following values: -masking_characteris*-number_to_maskis-4-reverse_orderisfalse-CharsToIgnoreincludes-- Input string is1234-5678-9012-3456The resulting de-identified string is****-****-****-3456. Cloud DLP masks all but the last four characters. Ifreverse_orderistrue, all but the first four characters are masked as1234-****-****-****. - Reverse
Order bool - Mask characters in reverse order. For example, if
masking_characteris0,number_to_maskis14, andreverse_orderisfalse, then the input string1234-5678-9012-3456is masked as00000000000000-3456. Ifmasking_characteris*,number_to_maskis3, andreverse_orderistrue, then the string12345is masked as12***.
- characters
To List<GoogleIgnore Privacy Dlp V2Chars To Ignore Response> - When masking a string, items in this list will be skipped when replacing characters. For example, if the input string is
555-555-5555and you instruct Cloud DLP to skip-and mask 5 characters with*, Cloud DLP returns***-**5-5555. - masking
Character String - Character to use to mask the sensitive values—for example,
*for an alphabetic string such as a name, or0for a numeric string such as ZIP code or credit card number. This string must have a length of 1. If not supplied, this value defaults to*for strings, and0for digits. - number
To IntegerMask - Number of characters to mask. If not set, all matching chars will be masked. Skipped characters do not count towards this tally. If
number_to_maskis negative, this denotes inverse masking. Cloud DLP masks all but a number of characters. For example, suppose you have the following values: -masking_characteris*-number_to_maskis-4-reverse_orderisfalse-CharsToIgnoreincludes-- Input string is1234-5678-9012-3456The resulting de-identified string is****-****-****-3456. Cloud DLP masks all but the last four characters. Ifreverse_orderistrue, all but the first four characters are masked as1234-****-****-****. - reverse
Order Boolean - Mask characters in reverse order. For example, if
masking_characteris0,number_to_maskis14, andreverse_orderisfalse, then the input string1234-5678-9012-3456is masked as00000000000000-3456. Ifmasking_characteris*,number_to_maskis3, andreverse_orderistrue, then the string12345is masked as12***.
- characters
To GoogleIgnore Privacy Dlp V2Chars To Ignore Response[] - When masking a string, items in this list will be skipped when replacing characters. For example, if the input string is
555-555-5555and you instruct Cloud DLP to skip-and mask 5 characters with*, Cloud DLP returns***-**5-5555. - masking
Character string - Character to use to mask the sensitive values—for example,
*for an alphabetic string such as a name, or0for a numeric string such as ZIP code or credit card number. This string must have a length of 1. If not supplied, this value defaults to*for strings, and0for digits. - number
To numberMask - Number of characters to mask. If not set, all matching chars will be masked. Skipped characters do not count towards this tally. If
number_to_maskis negative, this denotes inverse masking. Cloud DLP masks all but a number of characters. For example, suppose you have the following values: -masking_characteris*-number_to_maskis-4-reverse_orderisfalse-CharsToIgnoreincludes-- Input string is1234-5678-9012-3456The resulting de-identified string is****-****-****-3456. Cloud DLP masks all but the last four characters. Ifreverse_orderistrue, all but the first four characters are masked as1234-****-****-****. - reverse
Order boolean - Mask characters in reverse order. For example, if
masking_characteris0,number_to_maskis14, andreverse_orderisfalse, then the input string1234-5678-9012-3456is masked as00000000000000-3456. Ifmasking_characteris*,number_to_maskis3, andreverse_orderistrue, then the string12345is masked as12***.
- characters_
to_ Sequence[Googleignore Privacy Dlp V2Chars To Ignore Response] - When masking a string, items in this list will be skipped when replacing characters. For example, if the input string is
555-555-5555and you instruct Cloud DLP to skip-and mask 5 characters with*, Cloud DLP returns***-**5-5555. - masking_
character str - Character to use to mask the sensitive values—for example,
*for an alphabetic string such as a name, or0for a numeric string such as ZIP code or credit card number. This string must have a length of 1. If not supplied, this value defaults to*for strings, and0for digits. - number_
to_ intmask - Number of characters to mask. If not set, all matching chars will be masked. Skipped characters do not count towards this tally. If
number_to_maskis negative, this denotes inverse masking. Cloud DLP masks all but a number of characters. For example, suppose you have the following values: -masking_characteris*-number_to_maskis-4-reverse_orderisfalse-CharsToIgnoreincludes-- Input string is1234-5678-9012-3456The resulting de-identified string is****-****-****-3456. Cloud DLP masks all but the last four characters. Ifreverse_orderistrue, all but the first four characters are masked as1234-****-****-****. - reverse_
order bool - Mask characters in reverse order. For example, if
masking_characteris0,number_to_maskis14, andreverse_orderisfalse, then the input string1234-5678-9012-3456is masked as00000000000000-3456. Ifmasking_characteris*,number_to_maskis3, andreverse_orderistrue, then the string12345is masked as12***.
- characters
To List<Property Map>Ignore - When masking a string, items in this list will be skipped when replacing characters. For example, if the input string is
555-555-5555and you instruct Cloud DLP to skip-and mask 5 characters with*, Cloud DLP returns***-**5-5555. - masking
Character String - Character to use to mask the sensitive values—for example,
*for an alphabetic string such as a name, or0for a numeric string such as ZIP code or credit card number. This string must have a length of 1. If not supplied, this value defaults to*for strings, and0for digits. - number
To NumberMask - Number of characters to mask. If not set, all matching chars will be masked. Skipped characters do not count towards this tally. If
number_to_maskis negative, this denotes inverse masking. Cloud DLP masks all but a number of characters. For example, suppose you have the following values: -masking_characteris*-number_to_maskis-4-reverse_orderisfalse-CharsToIgnoreincludes-- Input string is1234-5678-9012-3456The resulting de-identified string is****-****-****-3456. Cloud DLP masks all but the last four characters. Ifreverse_orderistrue, all but the first four characters are masked as1234-****-****-****. - reverse
Order Boolean - Mask characters in reverse order. For example, if
masking_characteris0,number_to_maskis14, andreverse_orderisfalse, then the input string1234-5678-9012-3456is masked as00000000000000-3456. Ifmasking_characteris*,number_to_maskis3, andreverse_orderistrue, then the string12345is masked as12***.
GooglePrivacyDlpV2CharsToIgnoreResponse, GooglePrivacyDlpV2CharsToIgnoreResponseArgs
- Characters
To stringSkip - Characters to not transform when masking.
- Common
Characters stringTo Ignore - Common characters to not transform when masking. Useful to avoid removing punctuation.
- Characters
To stringSkip - Characters to not transform when masking.
- Common
Characters stringTo Ignore - Common characters to not transform when masking. Useful to avoid removing punctuation.
- characters
To StringSkip - Characters to not transform when masking.
- common
Characters StringTo Ignore - Common characters to not transform when masking. Useful to avoid removing punctuation.
- characters
To stringSkip - Characters to not transform when masking.
- common
Characters stringTo Ignore - Common characters to not transform when masking. Useful to avoid removing punctuation.
- characters_
to_ strskip - Characters to not transform when masking.
- common_
characters_ strto_ ignore - Common characters to not transform when masking. Useful to avoid removing punctuation.
- characters
To StringSkip - Characters to not transform when masking.
- common
Characters StringTo Ignore - Common characters to not transform when masking. Useful to avoid removing punctuation.
GooglePrivacyDlpV2CloudStorageOptions, GooglePrivacyDlpV2CloudStorageOptionsArgs
- Bytes
Limit stringPer File - Max number of bytes to scan from a file. If a scanned file's size is bigger than this value then the rest of the bytes are omitted. Only one of
bytes_limit_per_fileandbytes_limit_per_file_percentcan be specified. This field can't be set if de-identification is requested. For certain file types, setting this field has no effect. For more information, see Limits on bytes scanned per file. - Bytes
Limit intPer File Percent - Max percentage of bytes to scan from a file. The rest are omitted. The number of bytes scanned is rounded down. Must be between 0 and 100, inclusively. Both 0 and 100 means no limit. Defaults to 0. Only one of bytes_limit_per_file and bytes_limit_per_file_percent can be specified. This field can't be set if de-identification is requested. For certain file types, setting this field has no effect. For more information, see Limits on bytes scanned per file.
- File
Set Pulumi.Google Native. DLP. V2. Inputs. Google Privacy Dlp V2File Set - The set of one or more files to scan.
- File
Types List<Pulumi.Google Native. DLP. V2. Google Privacy Dlp V2Cloud Storage Options File Types Item> - List of file type groups to include in the scan. If empty, all files are scanned and available data format processors are applied. In addition, the binary content of the selected files is always scanned as well. Images are scanned only as binary if the specified region does not support image inspection and no file_types were specified. Image inspection is restricted to 'global', 'us', 'asia', and 'europe'.
- Files
Limit intPercent - Limits the number of files to scan to this percentage of the input FileSet. Number of files scanned is rounded down. Must be between 0 and 100, inclusively. Both 0 and 100 means no limit. Defaults to 0.
- Sample
Method Pulumi.Google Native. DLP. V2. Google Privacy Dlp V2Cloud Storage Options Sample Method
- Bytes
Limit stringPer File - Max number of bytes to scan from a file. If a scanned file's size is bigger than this value then the rest of the bytes are omitted. Only one of
bytes_limit_per_fileandbytes_limit_per_file_percentcan be specified. This field can't be set if de-identification is requested. For certain file types, setting this field has no effect. For more information, see Limits on bytes scanned per file. - Bytes
Limit intPer File Percent - Max percentage of bytes to scan from a file. The rest are omitted. The number of bytes scanned is rounded down. Must be between 0 and 100, inclusively. Both 0 and 100 means no limit. Defaults to 0. Only one of bytes_limit_per_file and bytes_limit_per_file_percent can be specified. This field can't be set if de-identification is requested. For certain file types, setting this field has no effect. For more information, see Limits on bytes scanned per file.
- File
Set GooglePrivacy Dlp V2File Set - The set of one or more files to scan.
- File
Types []GooglePrivacy Dlp V2Cloud Storage Options File Types Item - List of file type groups to include in the scan. If empty, all files are scanned and available data format processors are applied. In addition, the binary content of the selected files is always scanned as well. Images are scanned only as binary if the specified region does not support image inspection and no file_types were specified. Image inspection is restricted to 'global', 'us', 'asia', and 'europe'.
- Files
Limit intPercent - Limits the number of files to scan to this percentage of the input FileSet. Number of files scanned is rounded down. Must be between 0 and 100, inclusively. Both 0 and 100 means no limit. Defaults to 0.
- Sample
Method GooglePrivacy Dlp V2Cloud Storage Options Sample Method
- bytes
Limit StringPer File - Max number of bytes to scan from a file. If a scanned file's size is bigger than this value then the rest of the bytes are omitted. Only one of
bytes_limit_per_fileandbytes_limit_per_file_percentcan be specified. This field can't be set if de-identification is requested. For certain file types, setting this field has no effect. For more information, see Limits on bytes scanned per file. - bytes
Limit IntegerPer File Percent - Max percentage of bytes to scan from a file. The rest are omitted. The number of bytes scanned is rounded down. Must be between 0 and 100, inclusively. Both 0 and 100 means no limit. Defaults to 0. Only one of bytes_limit_per_file and bytes_limit_per_file_percent can be specified. This field can't be set if de-identification is requested. For certain file types, setting this field has no effect. For more information, see Limits on bytes scanned per file.
- file
Set GooglePrivacy Dlp V2File Set - The set of one or more files to scan.
- file
Types List<GooglePrivacy Dlp V2Cloud Storage Options File Types Item> - List of file type groups to include in the scan. If empty, all files are scanned and available data format processors are applied. In addition, the binary content of the selected files is always scanned as well. Images are scanned only as binary if the specified region does not support image inspection and no file_types were specified. Image inspection is restricted to 'global', 'us', 'asia', and 'europe'.
- files
Limit IntegerPercent - Limits the number of files to scan to this percentage of the input FileSet. Number of files scanned is rounded down. Must be between 0 and 100, inclusively. Both 0 and 100 means no limit. Defaults to 0.
- sample
Method GooglePrivacy Dlp V2Cloud Storage Options Sample Method
- bytes
Limit stringPer File - Max number of bytes to scan from a file. If a scanned file's size is bigger than this value then the rest of the bytes are omitted. Only one of
bytes_limit_per_fileandbytes_limit_per_file_percentcan be specified. This field can't be set if de-identification is requested. For certain file types, setting this field has no effect. For more information, see Limits on bytes scanned per file. - bytes
Limit numberPer File Percent - Max percentage of bytes to scan from a file. The rest are omitted. The number of bytes scanned is rounded down. Must be between 0 and 100, inclusively. Both 0 and 100 means no limit. Defaults to 0. Only one of bytes_limit_per_file and bytes_limit_per_file_percent can be specified. This field can't be set if de-identification is requested. For certain file types, setting this field has no effect. For more information, see Limits on bytes scanned per file.
- file
Set GooglePrivacy Dlp V2File Set - The set of one or more files to scan.
- file
Types GooglePrivacy Dlp V2Cloud Storage Options File Types Item[] - List of file type groups to include in the scan. If empty, all files are scanned and available data format processors are applied. In addition, the binary content of the selected files is always scanned as well. Images are scanned only as binary if the specified region does not support image inspection and no file_types were specified. Image inspection is restricted to 'global', 'us', 'asia', and 'europe'.
- files
Limit numberPercent - Limits the number of files to scan to this percentage of the input FileSet. Number of files scanned is rounded down. Must be between 0 and 100, inclusively. Both 0 and 100 means no limit. Defaults to 0.
- sample
Method GooglePrivacy Dlp V2Cloud Storage Options Sample Method
- bytes_
limit_ strper_ file - Max number of bytes to scan from a file. If a scanned file's size is bigger than this value then the rest of the bytes are omitted. Only one of
bytes_limit_per_fileandbytes_limit_per_file_percentcan be specified. This field can't be set if de-identification is requested. For certain file types, setting this field has no effect. For more information, see Limits on bytes scanned per file. - bytes_
limit_ intper_ file_ percent - Max percentage of bytes to scan from a file. The rest are omitted. The number of bytes scanned is rounded down. Must be between 0 and 100, inclusively. Both 0 and 100 means no limit. Defaults to 0. Only one of bytes_limit_per_file and bytes_limit_per_file_percent can be specified. This field can't be set if de-identification is requested. For certain file types, setting this field has no effect. For more information, see Limits on bytes scanned per file.
- file_
set GooglePrivacy Dlp V2File Set - The set of one or more files to scan.
- file_
types Sequence[GooglePrivacy Dlp V2Cloud Storage Options File Types Item] - List of file type groups to include in the scan. If empty, all files are scanned and available data format processors are applied. In addition, the binary content of the selected files is always scanned as well. Images are scanned only as binary if the specified region does not support image inspection and no file_types were specified. Image inspection is restricted to 'global', 'us', 'asia', and 'europe'.
- files_
limit_ intpercent - Limits the number of files to scan to this percentage of the input FileSet. Number of files scanned is rounded down. Must be between 0 and 100, inclusively. Both 0 and 100 means no limit. Defaults to 0.
- sample_
method GooglePrivacy Dlp V2Cloud Storage Options Sample Method
- bytes
Limit StringPer File - Max number of bytes to scan from a file. If a scanned file's size is bigger than this value then the rest of the bytes are omitted. Only one of
bytes_limit_per_fileandbytes_limit_per_file_percentcan be specified. This field can't be set if de-identification is requested. For certain file types, setting this field has no effect. For more information, see Limits on bytes scanned per file. - bytes
Limit NumberPer File Percent - Max percentage of bytes to scan from a file. The rest are omitted. The number of bytes scanned is rounded down. Must be between 0 and 100, inclusively. Both 0 and 100 means no limit. Defaults to 0. Only one of bytes_limit_per_file and bytes_limit_per_file_percent can be specified. This field can't be set if de-identification is requested. For certain file types, setting this field has no effect. For more information, see Limits on bytes scanned per file.
- file
Set Property Map - The set of one or more files to scan.
- file
Types List<"FILE_TYPE_UNSPECIFIED" | "BINARY_FILE" | "TEXT_FILE" | "IMAGE" | "WORD" | "PDF" | "AVRO" | "CSV" | "TSV" | "POWERPOINT" | "EXCEL"> - List of file type groups to include in the scan. If empty, all files are scanned and available data format processors are applied. In addition, the binary content of the selected files is always scanned as well. Images are scanned only as binary if the specified region does not support image inspection and no file_types were specified. Image inspection is restricted to 'global', 'us', 'asia', and 'europe'.
- files
Limit NumberPercent - Limits the number of files to scan to this percentage of the input FileSet. Number of files scanned is rounded down. Must be between 0 and 100, inclusively. Both 0 and 100 means no limit. Defaults to 0.
- sample
Method "SAMPLE_METHOD_UNSPECIFIED" | "TOP" | "RANDOM_START"
GooglePrivacyDlpV2CloudStorageOptionsFileTypesItem, GooglePrivacyDlpV2CloudStorageOptionsFileTypesItemArgs
- File
Type Unspecified - FILE_TYPE_UNSPECIFIEDIncludes all files.
- Binary
File - BINARY_FILEIncludes all file extensions not covered by another entry. Binary scanning attempts to convert the content of the file to utf_8 to scan the file. If you wish to avoid this fall back, specify one or more of the other file types in your storage scan.
- Text
File - TEXT_FILEIncluded file extensions: asc,asp, aspx, brf, c, cc,cfm, cgi, cpp, csv, cxx, c++, cs, css, dart, dat, dot, eml,, epbub, ged, go, h, hh, hpp, hxx, h++, hs, html, htm, mkd, markdown, m, ml, mli, perl, pl, plist, pm, php, phtml, pht, properties, py, pyw, rb, rbw, rs, rss, rc, scala, sh, sql, swift, tex, shtml, shtm, xhtml, lhs, ics, ini, java, js, json, kix, kml, ocaml, md, txt, text, tsv, vb, vcard, vcs, wml, xcodeproj, xml, xsl, xsd, yml, yaml.
- Image
- IMAGEIncluded file extensions: bmp, gif, jpg, jpeg, jpe, png. Setting bytes_limit_per_file or bytes_limit_per_file_percent has no effect on image files. Image inspection is restricted to the
global,us,asia, andeuroperegions. - Word
- WORDMicrosoft Word files larger than 30 MB will be scanned as binary files. Included file extensions: docx, dotx, docm, dotm. Setting
bytes_limit_per_fileorbytes_limit_per_file_percenthas no effect on Word files. - PDFPDF files larger than 30 MB will be scanned as binary files. Included file extensions: pdf. Setting
bytes_limit_per_fileorbytes_limit_per_file_percenthas no effect on PDF files. - Avro
- AVROIncluded file extensions: avro
- Csv
- CSVIncluded file extensions: csv
- Tsv
- TSVIncluded file extensions: tsv
- Powerpoint
- POWERPOINTMicrosoft PowerPoint files larger than 30 MB will be scanned as binary files. Included file extensions: pptx, pptm, potx, potm, pot. Setting
bytes_limit_per_fileorbytes_limit_per_file_percenthas no effect on PowerPoint files. - Excel
- EXCELMicrosoft Excel files larger than 30 MB will be scanned as binary files. Included file extensions: xlsx, xlsm, xltx, xltm. Setting
bytes_limit_per_fileorbytes_limit_per_file_percenthas no effect on Excel files.
- Google
Privacy Dlp V2Cloud Storage Options File Types Item File Type Unspecified - FILE_TYPE_UNSPECIFIEDIncludes all files.
- Google
Privacy Dlp V2Cloud Storage Options File Types Item Binary File - BINARY_FILEIncludes all file extensions not covered by another entry. Binary scanning attempts to convert the content of the file to utf_8 to scan the file. If you wish to avoid this fall back, specify one or more of the other file types in your storage scan.
- Google
Privacy Dlp V2Cloud Storage Options File Types Item Text File - TEXT_FILEIncluded file extensions: asc,asp, aspx, brf, c, cc,cfm, cgi, cpp, csv, cxx, c++, cs, css, dart, dat, dot, eml,, epbub, ged, go, h, hh, hpp, hxx, h++, hs, html, htm, mkd, markdown, m, ml, mli, perl, pl, plist, pm, php, phtml, pht, properties, py, pyw, rb, rbw, rs, rss, rc, scala, sh, sql, swift, tex, shtml, shtm, xhtml, lhs, ics, ini, java, js, json, kix, kml, ocaml, md, txt, text, tsv, vb, vcard, vcs, wml, xcodeproj, xml, xsl, xsd, yml, yaml.
- Google
Privacy Dlp V2Cloud Storage Options File Types Item Image - IMAGEIncluded file extensions: bmp, gif, jpg, jpeg, jpe, png. Setting bytes_limit_per_file or bytes_limit_per_file_percent has no effect on image files. Image inspection is restricted to the
global,us,asia, andeuroperegions. - Google
Privacy Dlp V2Cloud Storage Options File Types Item Word - WORDMicrosoft Word files larger than 30 MB will be scanned as binary files. Included file extensions: docx, dotx, docm, dotm. Setting
bytes_limit_per_fileorbytes_limit_per_file_percenthas no effect on Word files. - Google
Privacy Dlp V2Cloud Storage Options File Types Item Pdf - PDFPDF files larger than 30 MB will be scanned as binary files. Included file extensions: pdf. Setting
bytes_limit_per_fileorbytes_limit_per_file_percenthas no effect on PDF files. - Google
Privacy Dlp V2Cloud Storage Options File Types Item Avro - AVROIncluded file extensions: avro
- Google
Privacy Dlp V2Cloud Storage Options File Types Item Csv - CSVIncluded file extensions: csv
- Google
Privacy Dlp V2Cloud Storage Options File Types Item Tsv - TSVIncluded file extensions: tsv
- Google
Privacy Dlp V2Cloud Storage Options File Types Item Powerpoint - POWERPOINTMicrosoft PowerPoint files larger than 30 MB will be scanned as binary files. Included file extensions: pptx, pptm, potx, potm, pot. Setting
bytes_limit_per_fileorbytes_limit_per_file_percenthas no effect on PowerPoint files. - Google
Privacy Dlp V2Cloud Storage Options File Types Item Excel - EXCELMicrosoft Excel files larger than 30 MB will be scanned as binary files. Included file extensions: xlsx, xlsm, xltx, xltm. Setting
bytes_limit_per_fileorbytes_limit_per_file_percenthas no effect on Excel files.
- File
Type Unspecified - FILE_TYPE_UNSPECIFIEDIncludes all files.
- Binary
File - BINARY_FILEIncludes all file extensions not covered by another entry. Binary scanning attempts to convert the content of the file to utf_8 to scan the file. If you wish to avoid this fall back, specify one or more of the other file types in your storage scan.
- Text
File - TEXT_FILEIncluded file extensions: asc,asp, aspx, brf, c, cc,cfm, cgi, cpp, csv, cxx, c++, cs, css, dart, dat, dot, eml,, epbub, ged, go, h, hh, hpp, hxx, h++, hs, html, htm, mkd, markdown, m, ml, mli, perl, pl, plist, pm, php, phtml, pht, properties, py, pyw, rb, rbw, rs, rss, rc, scala, sh, sql, swift, tex, shtml, shtm, xhtml, lhs, ics, ini, java, js, json, kix, kml, ocaml, md, txt, text, tsv, vb, vcard, vcs, wml, xcodeproj, xml, xsl, xsd, yml, yaml.
- Image
- IMAGEIncluded file extensions: bmp, gif, jpg, jpeg, jpe, png. Setting bytes_limit_per_file or bytes_limit_per_file_percent has no effect on image files. Image inspection is restricted to the
global,us,asia, andeuroperegions. - Word
- WORDMicrosoft Word files larger than 30 MB will be scanned as binary files. Included file extensions: docx, dotx, docm, dotm. Setting
bytes_limit_per_fileorbytes_limit_per_file_percenthas no effect on Word files. - PDFPDF files larger than 30 MB will be scanned as binary files. Included file extensions: pdf. Setting
bytes_limit_per_fileorbytes_limit_per_file_percenthas no effect on PDF files. - Avro
- AVROIncluded file extensions: avro
- Csv
- CSVIncluded file extensions: csv
- Tsv
- TSVIncluded file extensions: tsv
- Powerpoint
- POWERPOINTMicrosoft PowerPoint files larger than 30 MB will be scanned as binary files. Included file extensions: pptx, pptm, potx, potm, pot. Setting
bytes_limit_per_fileorbytes_limit_per_file_percenthas no effect on PowerPoint files. - Excel
- EXCELMicrosoft Excel files larger than 30 MB will be scanned as binary files. Included file extensions: xlsx, xlsm, xltx, xltm. Setting
bytes_limit_per_fileorbytes_limit_per_file_percenthas no effect on Excel files.
- File
Type Unspecified - FILE_TYPE_UNSPECIFIEDIncludes all files.
- Binary
File - BINARY_FILEIncludes all file extensions not covered by another entry. Binary scanning attempts to convert the content of the file to utf_8 to scan the file. If you wish to avoid this fall back, specify one or more of the other file types in your storage scan.
- Text
File - TEXT_FILEIncluded file extensions: asc,asp, aspx, brf, c, cc,cfm, cgi, cpp, csv, cxx, c++, cs, css, dart, dat, dot, eml,, epbub, ged, go, h, hh, hpp, hxx, h++, hs, html, htm, mkd, markdown, m, ml, mli, perl, pl, plist, pm, php, phtml, pht, properties, py, pyw, rb, rbw, rs, rss, rc, scala, sh, sql, swift, tex, shtml, shtm, xhtml, lhs, ics, ini, java, js, json, kix, kml, ocaml, md, txt, text, tsv, vb, vcard, vcs, wml, xcodeproj, xml, xsl, xsd, yml, yaml.
- Image
- IMAGEIncluded file extensions: bmp, gif, jpg, jpeg, jpe, png. Setting bytes_limit_per_file or bytes_limit_per_file_percent has no effect on image files. Image inspection is restricted to the
global,us,asia, andeuroperegions. - Word
- WORDMicrosoft Word files larger than 30 MB will be scanned as binary files. Included file extensions: docx, dotx, docm, dotm. Setting
bytes_limit_per_fileorbytes_limit_per_file_percenthas no effect on Word files. - PDFPDF files larger than 30 MB will be scanned as binary files. Included file extensions: pdf. Setting
bytes_limit_per_fileorbytes_limit_per_file_percenthas no effect on PDF files. - Avro
- AVROIncluded file extensions: avro
- Csv
- CSVIncluded file extensions: csv
- Tsv
- TSVIncluded file extensions: tsv
- Powerpoint
- POWERPOINTMicrosoft PowerPoint files larger than 30 MB will be scanned as binary files. Included file extensions: pptx, pptm, potx, potm, pot. Setting
bytes_limit_per_fileorbytes_limit_per_file_percenthas no effect on PowerPoint files. - Excel
- EXCELMicrosoft Excel files larger than 30 MB will be scanned as binary files. Included file extensions: xlsx, xlsm, xltx, xltm. Setting
bytes_limit_per_fileorbytes_limit_per_file_percenthas no effect on Excel files.
- FILE_TYPE_UNSPECIFIED
- FILE_TYPE_UNSPECIFIEDIncludes all files.
- BINARY_FILE
- BINARY_FILEIncludes all file extensions not covered by another entry. Binary scanning attempts to convert the content of the file to utf_8 to scan the file. If you wish to avoid this fall back, specify one or more of the other file types in your storage scan.
- TEXT_FILE
- TEXT_FILEIncluded file extensions: asc,asp, aspx, brf, c, cc,cfm, cgi, cpp, csv, cxx, c++, cs, css, dart, dat, dot, eml,, epbub, ged, go, h, hh, hpp, hxx, h++, hs, html, htm, mkd, markdown, m, ml, mli, perl, pl, plist, pm, php, phtml, pht, properties, py, pyw, rb, rbw, rs, rss, rc, scala, sh, sql, swift, tex, shtml, shtm, xhtml, lhs, ics, ini, java, js, json, kix, kml, ocaml, md, txt, text, tsv, vb, vcard, vcs, wml, xcodeproj, xml, xsl, xsd, yml, yaml.
- IMAGE
- IMAGEIncluded file extensions: bmp, gif, jpg, jpeg, jpe, png. Setting bytes_limit_per_file or bytes_limit_per_file_percent has no effect on image files. Image inspection is restricted to the
global,us,asia, andeuroperegions. - WORD
- WORDMicrosoft Word files larger than 30 MB will be scanned as binary files. Included file extensions: docx, dotx, docm, dotm. Setting
bytes_limit_per_fileorbytes_limit_per_file_percenthas no effect on Word files. - PDFPDF files larger than 30 MB will be scanned as binary files. Included file extensions: pdf. Setting
bytes_limit_per_fileorbytes_limit_per_file_percenthas no effect on PDF files. - AVRO
- AVROIncluded file extensions: avro
- CSV
- CSVIncluded file extensions: csv
- TSV
- TSVIncluded file extensions: tsv
- POWERPOINT
- POWERPOINTMicrosoft PowerPoint files larger than 30 MB will be scanned as binary files. Included file extensions: pptx, pptm, potx, potm, pot. Setting
bytes_limit_per_fileorbytes_limit_per_file_percenthas no effect on PowerPoint files. - EXCEL
- EXCELMicrosoft Excel files larger than 30 MB will be scanned as binary files. Included file extensions: xlsx, xlsm, xltx, xltm. Setting
bytes_limit_per_fileorbytes_limit_per_file_percenthas no effect on Excel files.
- "FILE_TYPE_UNSPECIFIED"
- FILE_TYPE_UNSPECIFIEDIncludes all files.
- "BINARY_FILE"
- BINARY_FILEIncludes all file extensions not covered by another entry. Binary scanning attempts to convert the content of the file to utf_8 to scan the file. If you wish to avoid this fall back, specify one or more of the other file types in your storage scan.
- "TEXT_FILE"
- TEXT_FILEIncluded file extensions: asc,asp, aspx, brf, c, cc,cfm, cgi, cpp, csv, cxx, c++, cs, css, dart, dat, dot, eml,, epbub, ged, go, h, hh, hpp, hxx, h++, hs, html, htm, mkd, markdown, m, ml, mli, perl, pl, plist, pm, php, phtml, pht, properties, py, pyw, rb, rbw, rs, rss, rc, scala, sh, sql, swift, tex, shtml, shtm, xhtml, lhs, ics, ini, java, js, json, kix, kml, ocaml, md, txt, text, tsv, vb, vcard, vcs, wml, xcodeproj, xml, xsl, xsd, yml, yaml.
- "IMAGE"
- IMAGEIncluded file extensions: bmp, gif, jpg, jpeg, jpe, png. Setting bytes_limit_per_file or bytes_limit_per_file_percent has no effect on image files. Image inspection is restricted to the
global,us,asia, andeuroperegions. - "WORD"
- WORDMicrosoft Word files larger than 30 MB will be scanned as binary files. Included file extensions: docx, dotx, docm, dotm. Setting
bytes_limit_per_fileorbytes_limit_per_file_percenthas no effect on Word files. - "PDF"
- PDFPDF files larger than 30 MB will be scanned as binary files. Included file extensions: pdf. Setting
bytes_limit_per_fileorbytes_limit_per_file_percenthas no effect on PDF files. - "AVRO"
- AVROIncluded file extensions: avro
- "CSV"
- CSVIncluded file extensions: csv
- "TSV"
- TSVIncluded file extensions: tsv
- "POWERPOINT"
- POWERPOINTMicrosoft PowerPoint files larger than 30 MB will be scanned as binary files. Included file extensions: pptx, pptm, potx, potm, pot. Setting
bytes_limit_per_fileorbytes_limit_per_file_percenthas no effect on PowerPoint files. - "EXCEL"
- EXCELMicrosoft Excel files larger than 30 MB will be scanned as binary files. Included file extensions: xlsx, xlsm, xltx, xltm. Setting
bytes_limit_per_fileorbytes_limit_per_file_percenthas no effect on Excel files.
GooglePrivacyDlpV2CloudStorageOptionsResponse, GooglePrivacyDlpV2CloudStorageOptionsResponseArgs
- Bytes
Limit stringPer File - Max number of bytes to scan from a file. If a scanned file's size is bigger than this value then the rest of the bytes are omitted. Only one of
bytes_limit_per_fileandbytes_limit_per_file_percentcan be specified. This field can't be set if de-identification is requested. For certain file types, setting this field has no effect. For more information, see Limits on bytes scanned per file. - Bytes
Limit intPer File Percent - Max percentage of bytes to scan from a file. The rest are omitted. The number of bytes scanned is rounded down. Must be between 0 and 100, inclusively. Both 0 and 100 means no limit. Defaults to 0. Only one of bytes_limit_per_file and bytes_limit_per_file_percent can be specified. This field can't be set if de-identification is requested. For certain file types, setting this field has no effect. For more information, see Limits on bytes scanned per file.
- File
Set Pulumi.Google Native. DLP. V2. Inputs. Google Privacy Dlp V2File Set Response - The set of one or more files to scan.
- File
Types List<string> - List of file type groups to include in the scan. If empty, all files are scanned and available data format processors are applied. In addition, the binary content of the selected files is always scanned as well. Images are scanned only as binary if the specified region does not support image inspection and no file_types were specified. Image inspection is restricted to 'global', 'us', 'asia', and 'europe'.
- Files
Limit intPercent - Limits the number of files to scan to this percentage of the input FileSet. Number of files scanned is rounded down. Must be between 0 and 100, inclusively. Both 0 and 100 means no limit. Defaults to 0.
- Sample
Method string
- Bytes
Limit stringPer File - Max number of bytes to scan from a file. If a scanned file's size is bigger than this value then the rest of the bytes are omitted. Only one of
bytes_limit_per_fileandbytes_limit_per_file_percentcan be specified. This field can't be set if de-identification is requested. For certain file types, setting this field has no effect. For more information, see Limits on bytes scanned per file. - Bytes
Limit intPer File Percent - Max percentage of bytes to scan from a file. The rest are omitted. The number of bytes scanned is rounded down. Must be between 0 and 100, inclusively. Both 0 and 100 means no limit. Defaults to 0. Only one of bytes_limit_per_file and bytes_limit_per_file_percent can be specified. This field can't be set if de-identification is requested. For certain file types, setting this field has no effect. For more information, see Limits on bytes scanned per file.
- File
Set GooglePrivacy Dlp V2File Set Response - The set of one or more files to scan.
- File
Types []string - List of file type groups to include in the scan. If empty, all files are scanned and available data format processors are applied. In addition, the binary content of the selected files is always scanned as well. Images are scanned only as binary if the specified region does not support image inspection and no file_types were specified. Image inspection is restricted to 'global', 'us', 'asia', and 'europe'.
- Files
Limit intPercent - Limits the number of files to scan to this percentage of the input FileSet. Number of files scanned is rounded down. Must be between 0 and 100, inclusively. Both 0 and 100 means no limit. Defaults to 0.
- Sample
Method string
- bytes
Limit StringPer File - Max number of bytes to scan from a file. If a scanned file's size is bigger than this value then the rest of the bytes are omitted. Only one of
bytes_limit_per_fileandbytes_limit_per_file_percentcan be specified. This field can't be set if de-identification is requested. For certain file types, setting this field has no effect. For more information, see Limits on bytes scanned per file. - bytes
Limit IntegerPer File Percent - Max percentage of bytes to scan from a file. The rest are omitted. The number of bytes scanned is rounded down. Must be between 0 and 100, inclusively. Both 0 and 100 means no limit. Defaults to 0. Only one of bytes_limit_per_file and bytes_limit_per_file_percent can be specified. This field can't be set if de-identification is requested. For certain file types, setting this field has no effect. For more information, see Limits on bytes scanned per file.
- file
Set GooglePrivacy Dlp V2File Set Response - The set of one or more files to scan.
- file
Types List<String> - List of file type groups to include in the scan. If empty, all files are scanned and available data format processors are applied. In addition, the binary content of the selected files is always scanned as well. Images are scanned only as binary if the specified region does not support image inspection and no file_types were specified. Image inspection is restricted to 'global', 'us', 'asia', and 'europe'.
- files
Limit IntegerPercent - Limits the number of files to scan to this percentage of the input FileSet. Number of files scanned is rounded down. Must be between 0 and 100, inclusively. Both 0 and 100 means no limit. Defaults to 0.
- sample
Method String
- bytes
Limit stringPer File - Max number of bytes to scan from a file. If a scanned file's size is bigger than this value then the rest of the bytes are omitted. Only one of
bytes_limit_per_fileandbytes_limit_per_file_percentcan be specified. This field can't be set if de-identification is requested. For certain file types, setting this field has no effect. For more information, see Limits on bytes scanned per file. - bytes
Limit numberPer File Percent - Max percentage of bytes to scan from a file. The rest are omitted. The number of bytes scanned is rounded down. Must be between 0 and 100, inclusively. Both 0 and 100 means no limit. Defaults to 0. Only one of bytes_limit_per_file and bytes_limit_per_file_percent can be specified. This field can't be set if de-identification is requested. For certain file types, setting this field has no effect. For more information, see Limits on bytes scanned per file.
- file
Set GooglePrivacy Dlp V2File Set Response - The set of one or more files to scan.
- file
Types string[] - List of file type groups to include in the scan. If empty, all files are scanned and available data format processors are applied. In addition, the binary content of the selected files is always scanned as well. Images are scanned only as binary if the specified region does not support image inspection and no file_types were specified. Image inspection is restricted to 'global', 'us', 'asia', and 'europe'.
- files
Limit numberPercent - Limits the number of files to scan to this percentage of the input FileSet. Number of files scanned is rounded down. Must be between 0 and 100, inclusively. Both 0 and 100 means no limit. Defaults to 0.
- sample
Method string
- bytes_
limit_ strper_ file - Max number of bytes to scan from a file. If a scanned file's size is bigger than this value then the rest of the bytes are omitted. Only one of
bytes_limit_per_fileandbytes_limit_per_file_percentcan be specified. This field can't be set if de-identification is requested. For certain file types, setting this field has no effect. For more information, see Limits on bytes scanned per file. - bytes_
limit_ intper_ file_ percent - Max percentage of bytes to scan from a file. The rest are omitted. The number of bytes scanned is rounded down. Must be between 0 and 100, inclusively. Both 0 and 100 means no limit. Defaults to 0. Only one of bytes_limit_per_file and bytes_limit_per_file_percent can be specified. This field can't be set if de-identification is requested. For certain file types, setting this field has no effect. For more information, see Limits on bytes scanned per file.
- file_
set GooglePrivacy Dlp V2File Set Response - The set of one or more files to scan.
- file_
types Sequence[str] - List of file type groups to include in the scan. If empty, all files are scanned and available data format processors are applied. In addition, the binary content of the selected files is always scanned as well. Images are scanned only as binary if the specified region does not support image inspection and no file_types were specified. Image inspection is restricted to 'global', 'us', 'asia', and 'europe'.
- files_
limit_ intpercent - Limits the number of files to scan to this percentage of the input FileSet. Number of files scanned is rounded down. Must be between 0 and 100, inclusively. Both 0 and 100 means no limit. Defaults to 0.
- sample_
method str
- bytes
Limit StringPer File - Max number of bytes to scan from a file. If a scanned file's size is bigger than this value then the rest of the bytes are omitted. Only one of
bytes_limit_per_fileandbytes_limit_per_file_percentcan be specified. This field can't be set if de-identification is requested. For certain file types, setting this field has no effect. For more information, see Limits on bytes scanned per file. - bytes
Limit NumberPer File Percent - Max percentage of bytes to scan from a file. The rest are omitted. The number of bytes scanned is rounded down. Must be between 0 and 100, inclusively. Both 0 and 100 means no limit. Defaults to 0. Only one of bytes_limit_per_file and bytes_limit_per_file_percent can be specified. This field can't be set if de-identification is requested. For certain file types, setting this field has no effect. For more information, see Limits on bytes scanned per file.
- file
Set Property Map - The set of one or more files to scan.
- file
Types List<String> - List of file type groups to include in the scan. If empty, all files are scanned and available data format processors are applied. In addition, the binary content of the selected files is always scanned as well. Images are scanned only as binary if the specified region does not support image inspection and no file_types were specified. Image inspection is restricted to 'global', 'us', 'asia', and 'europe'.
- files
Limit NumberPercent - Limits the number of files to scan to this percentage of the input FileSet. Number of files scanned is rounded down. Must be between 0 and 100, inclusively. Both 0 and 100 means no limit. Defaults to 0.
- sample
Method String
GooglePrivacyDlpV2CloudStorageOptionsSampleMethod, GooglePrivacyDlpV2CloudStorageOptionsSampleMethodArgs
- Sample
Method Unspecified - SAMPLE_METHOD_UNSPECIFIED
- Top
- TOPScan from the top (default).
- Random
Start - RANDOM_STARTFor each file larger than bytes_limit_per_file, randomly pick the offset to start scanning. The scanned bytes are contiguous.
- Google
Privacy Dlp V2Cloud Storage Options Sample Method Sample Method Unspecified - SAMPLE_METHOD_UNSPECIFIED
- Google
Privacy Dlp V2Cloud Storage Options Sample Method Top - TOPScan from the top (default).
- Google
Privacy Dlp V2Cloud Storage Options Sample Method Random Start - RANDOM_STARTFor each file larger than bytes_limit_per_file, randomly pick the offset to start scanning. The scanned bytes are contiguous.
- Sample
Method Unspecified - SAMPLE_METHOD_UNSPECIFIED
- Top
- TOPScan from the top (default).
- Random
Start - RANDOM_STARTFor each file larger than bytes_limit_per_file, randomly pick the offset to start scanning. The scanned bytes are contiguous.
- Sample
Method Unspecified - SAMPLE_METHOD_UNSPECIFIED
- Top
- TOPScan from the top (default).
- Random
Start - RANDOM_STARTFor each file larger than bytes_limit_per_file, randomly pick the offset to start scanning. The scanned bytes are contiguous.
- SAMPLE_METHOD_UNSPECIFIED
- SAMPLE_METHOD_UNSPECIFIED
- TOP
- TOPScan from the top (default).
- RANDOM_START
- RANDOM_STARTFor each file larger than bytes_limit_per_file, randomly pick the offset to start scanning. The scanned bytes are contiguous.
- "SAMPLE_METHOD_UNSPECIFIED"
- SAMPLE_METHOD_UNSPECIFIED
- "TOP"
- TOPScan from the top (default).
- "RANDOM_START"
- RANDOM_STARTFor each file larger than bytes_limit_per_file, randomly pick the offset to start scanning. The scanned bytes are contiguous.
GooglePrivacyDlpV2CloudStoragePath, GooglePrivacyDlpV2CloudStoragePathArgs
- Path string
- A url representing a file or path (no wildcards) in Cloud Storage. Example: gs://[BUCKET_NAME]/dictionary.txt
- Path string
- A url representing a file or path (no wildcards) in Cloud Storage. Example: gs://[BUCKET_NAME]/dictionary.txt
- path String
- A url representing a file or path (no wildcards) in Cloud Storage. Example: gs://[BUCKET_NAME]/dictionary.txt
- path string
- A url representing a file or path (no wildcards) in Cloud Storage. Example: gs://[BUCKET_NAME]/dictionary.txt
- path str
- A url representing a file or path (no wildcards) in Cloud Storage. Example: gs://[BUCKET_NAME]/dictionary.txt
- path String
- A url representing a file or path (no wildcards) in Cloud Storage. Example: gs://[BUCKET_NAME]/dictionary.txt
GooglePrivacyDlpV2CloudStoragePathResponse, GooglePrivacyDlpV2CloudStoragePathResponseArgs
- Path string
- A url representing a file or path (no wildcards) in Cloud Storage. Example: gs://[BUCKET_NAME]/dictionary.txt
- Path string
- A url representing a file or path (no wildcards) in Cloud Storage. Example: gs://[BUCKET_NAME]/dictionary.txt
- path String
- A url representing a file or path (no wildcards) in Cloud Storage. Example: gs://[BUCKET_NAME]/dictionary.txt
- path string
- A url representing a file or path (no wildcards) in Cloud Storage. Example: gs://[BUCKET_NAME]/dictionary.txt
- path str
- A url representing a file or path (no wildcards) in Cloud Storage. Example: gs://[BUCKET_NAME]/dictionary.txt
- path String
- A url representing a file or path (no wildcards) in Cloud Storage. Example: gs://[BUCKET_NAME]/dictionary.txt
GooglePrivacyDlpV2CloudStorageRegexFileSet, GooglePrivacyDlpV2CloudStorageRegexFileSetArgs
- Bucket
Name string - The name of a Cloud Storage bucket. Required.
- Exclude
Regex List<string> - A list of regular expressions matching file paths to exclude. All files in the bucket that match at least one of these regular expressions will be excluded from the scan. Regular expressions use RE2 syntax; a guide can be found under the google/re2 repository on GitHub.
- Include
Regex List<string> - A list of regular expressions matching file paths to include. All files in the bucket that match at least one of these regular expressions will be included in the set of files, except for those that also match an item in
exclude_regex. Leaving this field empty will match all files by default (this is equivalent to including.*in the list). Regular expressions use RE2 syntax; a guide can be found under the google/re2 repository on GitHub.
- Bucket
Name string - The name of a Cloud Storage bucket. Required.
- Exclude
Regex []string - A list of regular expressions matching file paths to exclude. All files in the bucket that match at least one of these regular expressions will be excluded from the scan. Regular expressions use RE2 syntax; a guide can be found under the google/re2 repository on GitHub.
- Include
Regex []string - A list of regular expressions matching file paths to include. All files in the bucket that match at least one of these regular expressions will be included in the set of files, except for those that also match an item in
exclude_regex. Leaving this field empty will match all files by default (this is equivalent to including.*in the list). Regular expressions use RE2 syntax; a guide can be found under the google/re2 repository on GitHub.
- bucket
Name String - The name of a Cloud Storage bucket. Required.
- exclude
Regex List<String> - A list of regular expressions matching file paths to exclude. All files in the bucket that match at least one of these regular expressions will be excluded from the scan. Regular expressions use RE2 syntax; a guide can be found under the google/re2 repository on GitHub.
- include
Regex List<String> - A list of regular expressions matching file paths to include. All files in the bucket that match at least one of these regular expressions will be included in the set of files, except for those that also match an item in
exclude_regex. Leaving this field empty will match all files by default (this is equivalent to including.*in the list). Regular expressions use RE2 syntax; a guide can be found under the google/re2 repository on GitHub.
- bucket
Name string - The name of a Cloud Storage bucket. Required.
- exclude
Regex string[] - A list of regular expressions matching file paths to exclude. All files in the bucket that match at least one of these regular expressions will be excluded from the scan. Regular expressions use RE2 syntax; a guide can be found under the google/re2 repository on GitHub.
- include
Regex string[] - A list of regular expressions matching file paths to include. All files in the bucket that match at least one of these regular expressions will be included in the set of files, except for those that also match an item in
exclude_regex. Leaving this field empty will match all files by default (this is equivalent to including.*in the list). Regular expressions use RE2 syntax; a guide can be found under the google/re2 repository on GitHub.
- bucket_
name str - The name of a Cloud Storage bucket. Required.
- exclude_
regex Sequence[str] - A list of regular expressions matching file paths to exclude. All files in the bucket that match at least one of these regular expressions will be excluded from the scan. Regular expressions use RE2 syntax; a guide can be found under the google/re2 repository on GitHub.
- include_
regex Sequence[str] - A list of regular expressions matching file paths to include. All files in the bucket that match at least one of these regular expressions will be included in the set of files, except for those that also match an item in
exclude_regex. Leaving this field empty will match all files by default (this is equivalent to including.*in the list). Regular expressions use RE2 syntax; a guide can be found under the google/re2 repository on GitHub.
- bucket
Name String - The name of a Cloud Storage bucket. Required.
- exclude
Regex List<String> - A list of regular expressions matching file paths to exclude. All files in the bucket that match at least one of these regular expressions will be excluded from the scan. Regular expressions use RE2 syntax; a guide can be found under the google/re2 repository on GitHub.
- include
Regex List<String> - A list of regular expressions matching file paths to include. All files in the bucket that match at least one of these regular expressions will be included in the set of files, except for those that also match an item in
exclude_regex. Leaving this field empty will match all files by default (this is equivalent to including.*in the list). Regular expressions use RE2 syntax; a guide can be found under the google/re2 repository on GitHub.
GooglePrivacyDlpV2CloudStorageRegexFileSetResponse, GooglePrivacyDlpV2CloudStorageRegexFileSetResponseArgs
- Bucket
Name string - The name of a Cloud Storage bucket. Required.
- Exclude
Regex List<string> - A list of regular expressions matching file paths to exclude. All files in the bucket that match at least one of these regular expressions will be excluded from the scan. Regular expressions use RE2 syntax; a guide can be found under the google/re2 repository on GitHub.
- Include
Regex List<string> - A list of regular expressions matching file paths to include. All files in the bucket that match at least one of these regular expressions will be included in the set of files, except for those that also match an item in
exclude_regex. Leaving this field empty will match all files by default (this is equivalent to including.*in the list). Regular expressions use RE2 syntax; a guide can be found under the google/re2 repository on GitHub.
- Bucket
Name string - The name of a Cloud Storage bucket. Required.
- Exclude
Regex []string - A list of regular expressions matching file paths to exclude. All files in the bucket that match at least one of these regular expressions will be excluded from the scan. Regular expressions use RE2 syntax; a guide can be found under the google/re2 repository on GitHub.
- Include
Regex []string - A list of regular expressions matching file paths to include. All files in the bucket that match at least one of these regular expressions will be included in the set of files, except for those that also match an item in
exclude_regex. Leaving this field empty will match all files by default (this is equivalent to including.*in the list). Regular expressions use RE2 syntax; a guide can be found under the google/re2 repository on GitHub.
- bucket
Name String - The name of a Cloud Storage bucket. Required.
- exclude
Regex List<String> - A list of regular expressions matching file paths to exclude. All files in the bucket that match at least one of these regular expressions will be excluded from the scan. Regular expressions use RE2 syntax; a guide can be found under the google/re2 repository on GitHub.
- include
Regex List<String> - A list of regular expressions matching file paths to include. All files in the bucket that match at least one of these regular expressions will be included in the set of files, except for those that also match an item in
exclude_regex. Leaving this field empty will match all files by default (this is equivalent to including.*in the list). Regular expressions use RE2 syntax; a guide can be found under the google/re2 repository on GitHub.
- bucket
Name string - The name of a Cloud Storage bucket. Required.
- exclude
Regex string[] - A list of regular expressions matching file paths to exclude. All files in the bucket that match at least one of these regular expressions will be excluded from the scan. Regular expressions use RE2 syntax; a guide can be found under the google/re2 repository on GitHub.
- include
Regex string[] - A list of regular expressions matching file paths to include. All files in the bucket that match at least one of these regular expressions will be included in the set of files, except for those that also match an item in
exclude_regex. Leaving this field empty will match all files by default (this is equivalent to including.*in the list). Regular expressions use RE2 syntax; a guide can be found under the google/re2 repository on GitHub.
- bucket_
name str - The name of a Cloud Storage bucket. Required.
- exclude_
regex Sequence[str] - A list of regular expressions matching file paths to exclude. All files in the bucket that match at least one of these regular expressions will be excluded from the scan. Regular expressions use RE2 syntax; a guide can be found under the google/re2 repository on GitHub.
- include_
regex Sequence[str] - A list of regular expressions matching file paths to include. All files in the bucket that match at least one of these regular expressions will be included in the set of files, except for those that also match an item in
exclude_regex. Leaving this field empty will match all files by default (this is equivalent to including.*in the list). Regular expressions use RE2 syntax; a guide can be found under the google/re2 repository on GitHub.
- bucket
Name String - The name of a Cloud Storage bucket. Required.
- exclude
Regex List<String> - A list of regular expressions matching file paths to exclude. All files in the bucket that match at least one of these regular expressions will be excluded from the scan. Regular expressions use RE2 syntax; a guide can be found under the google/re2 repository on GitHub.
- include
Regex List<String> - A list of regular expressions matching file paths to include. All files in the bucket that match at least one of these regular expressions will be included in the set of files, except for those that also match an item in
exclude_regex. Leaving this field empty will match all files by default (this is equivalent to including.*in the list). Regular expressions use RE2 syntax; a guide can be found under the google/re2 repository on GitHub.
GooglePrivacyDlpV2ColorResponse, GooglePrivacyDlpV2ColorResponseArgs
GooglePrivacyDlpV2ConditionResponse, GooglePrivacyDlpV2ConditionResponseArgs
- Field
Pulumi.
Google Native. DLP. V2. Inputs. Google Privacy Dlp V2Field Id Response - Field within the record this condition is evaluated against.
- Operator string
- Operator used to compare the field or infoType to the value.
- Value
Pulumi.
Google Native. DLP. V2. Inputs. Google Privacy Dlp V2Value Response - Value to compare against. [Mandatory, except for
EXISTStests.]
- Field
Google
Privacy Dlp V2Field Id Response - Field within the record this condition is evaluated against.
- Operator string
- Operator used to compare the field or infoType to the value.
- Value
Google
Privacy Dlp V2Value Response - Value to compare against. [Mandatory, except for
EXISTStests.]
- field
Google
Privacy Dlp V2Field Id Response - Field within the record this condition is evaluated against.
- operator String
- Operator used to compare the field or infoType to the value.
- value
Google
Privacy Dlp V2Value Response - Value to compare against. [Mandatory, except for
EXISTStests.]
- field
Google
Privacy Dlp V2Field Id Response - Field within the record this condition is evaluated against.
- operator string
- Operator used to compare the field or infoType to the value.
- value
Google
Privacy Dlp V2Value Response - Value to compare against. [Mandatory, except for
EXISTStests.]
- field
Google
Privacy Dlp V2Field Id Response - Field within the record this condition is evaluated against.
- operator str
- Operator used to compare the field or infoType to the value.
- value
Google
Privacy Dlp V2Value Response - Value to compare against. [Mandatory, except for
EXISTStests.]
- field Property Map
- Field within the record this condition is evaluated against.
- operator String
- Operator used to compare the field or infoType to the value.
- value Property Map
- Value to compare against. [Mandatory, except for
EXISTStests.]
GooglePrivacyDlpV2ConditionsResponse, GooglePrivacyDlpV2ConditionsResponseArgs
- Conditions
List<Pulumi.
Google Native. DLP. V2. Inputs. Google Privacy Dlp V2Condition Response> - A collection of conditions.
- Conditions
[]Google
Privacy Dlp V2Condition Response - A collection of conditions.
- conditions
List<Google
Privacy Dlp V2Condition Response> - A collection of conditions.
- conditions
Google
Privacy Dlp V2Condition Response[] - A collection of conditions.
- conditions
Sequence[Google
Privacy Dlp V2Condition Response] - A collection of conditions.
- conditions List<Property Map>
- A collection of conditions.
GooglePrivacyDlpV2CryptoDeterministicConfigResponse, GooglePrivacyDlpV2CryptoDeterministicConfigResponseArgs
- Context
Pulumi.
Google Native. DLP. V2. Inputs. Google Privacy Dlp V2Field Id Response - A context may be used for higher security and maintaining referential integrity such that the same identifier in two different contexts will be given a distinct surrogate. The context is appended to plaintext value being encrypted. On decryption the provided context is validated against the value used during encryption. If a context was provided during encryption, same context must be provided during decryption as well. If the context is not set, plaintext would be used as is for encryption. If the context is set but: 1. there is no record present when transforming a given value or 2. the field is not present when transforming a given value, plaintext would be used as is for encryption. Note that case (1) is expected when an
InfoTypeTransformationis applied to both structured and unstructuredContentItems. - Crypto
Key Pulumi.Google Native. DLP. V2. Inputs. Google Privacy Dlp V2Crypto Key Response - The key used by the encryption function. For deterministic encryption using AES-SIV, the provided key is internally expanded to 64 bytes prior to use.
- Surrogate
Info Pulumi.Type Google Native. DLP. V2. Inputs. Google Privacy Dlp V2Info Type Response - The custom info type to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom info type followed by the number of characters comprising the surrogate. The following scheme defines the format: {info type name}({surrogate character count}):{surrogate} For example, if the name of custom info type is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom info type 'Surrogate'. This facilitates reversal of the surrogate when it occurs in free text. Note: For record transformations where the entire cell in a table is being transformed, surrogates are not mandatory. Surrogates are used to denote the location of the token and are necessary for re-identification in free form text. In order for inspection to work properly, the name of this info type must not occur naturally anywhere in your data; otherwise, inspection may either - reverse a surrogate that does not correspond to an actual identifier - be unable to parse the surrogate and result in an error Therefore, choose your custom info type name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE.
- Context
Google
Privacy Dlp V2Field Id Response - A context may be used for higher security and maintaining referential integrity such that the same identifier in two different contexts will be given a distinct surrogate. The context is appended to plaintext value being encrypted. On decryption the provided context is validated against the value used during encryption. If a context was provided during encryption, same context must be provided during decryption as well. If the context is not set, plaintext would be used as is for encryption. If the context is set but: 1. there is no record present when transforming a given value or 2. the field is not present when transforming a given value, plaintext would be used as is for encryption. Note that case (1) is expected when an
InfoTypeTransformationis applied to both structured and unstructuredContentItems. - Crypto
Key GooglePrivacy Dlp V2Crypto Key Response - The key used by the encryption function. For deterministic encryption using AES-SIV, the provided key is internally expanded to 64 bytes prior to use.
- Surrogate
Info GoogleType Privacy Dlp V2Info Type Response - The custom info type to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom info type followed by the number of characters comprising the surrogate. The following scheme defines the format: {info type name}({surrogate character count}):{surrogate} For example, if the name of custom info type is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom info type 'Surrogate'. This facilitates reversal of the surrogate when it occurs in free text. Note: For record transformations where the entire cell in a table is being transformed, surrogates are not mandatory. Surrogates are used to denote the location of the token and are necessary for re-identification in free form text. In order for inspection to work properly, the name of this info type must not occur naturally anywhere in your data; otherwise, inspection may either - reverse a surrogate that does not correspond to an actual identifier - be unable to parse the surrogate and result in an error Therefore, choose your custom info type name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE.
- context
Google
Privacy Dlp V2Field Id Response - A context may be used for higher security and maintaining referential integrity such that the same identifier in two different contexts will be given a distinct surrogate. The context is appended to plaintext value being encrypted. On decryption the provided context is validated against the value used during encryption. If a context was provided during encryption, same context must be provided during decryption as well. If the context is not set, plaintext would be used as is for encryption. If the context is set but: 1. there is no record present when transforming a given value or 2. the field is not present when transforming a given value, plaintext would be used as is for encryption. Note that case (1) is expected when an
InfoTypeTransformationis applied to both structured and unstructuredContentItems. - crypto
Key GooglePrivacy Dlp V2Crypto Key Response - The key used by the encryption function. For deterministic encryption using AES-SIV, the provided key is internally expanded to 64 bytes prior to use.
- surrogate
Info GoogleType Privacy Dlp V2Info Type Response - The custom info type to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom info type followed by the number of characters comprising the surrogate. The following scheme defines the format: {info type name}({surrogate character count}):{surrogate} For example, if the name of custom info type is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom info type 'Surrogate'. This facilitates reversal of the surrogate when it occurs in free text. Note: For record transformations where the entire cell in a table is being transformed, surrogates are not mandatory. Surrogates are used to denote the location of the token and are necessary for re-identification in free form text. In order for inspection to work properly, the name of this info type must not occur naturally anywhere in your data; otherwise, inspection may either - reverse a surrogate that does not correspond to an actual identifier - be unable to parse the surrogate and result in an error Therefore, choose your custom info type name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE.
- context
Google
Privacy Dlp V2Field Id Response - A context may be used for higher security and maintaining referential integrity such that the same identifier in two different contexts will be given a distinct surrogate. The context is appended to plaintext value being encrypted. On decryption the provided context is validated against the value used during encryption. If a context was provided during encryption, same context must be provided during decryption as well. If the context is not set, plaintext would be used as is for encryption. If the context is set but: 1. there is no record present when transforming a given value or 2. the field is not present when transforming a given value, plaintext would be used as is for encryption. Note that case (1) is expected when an
InfoTypeTransformationis applied to both structured and unstructuredContentItems. - crypto
Key GooglePrivacy Dlp V2Crypto Key Response - The key used by the encryption function. For deterministic encryption using AES-SIV, the provided key is internally expanded to 64 bytes prior to use.
- surrogate
Info GoogleType Privacy Dlp V2Info Type Response - The custom info type to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom info type followed by the number of characters comprising the surrogate. The following scheme defines the format: {info type name}({surrogate character count}):{surrogate} For example, if the name of custom info type is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom info type 'Surrogate'. This facilitates reversal of the surrogate when it occurs in free text. Note: For record transformations where the entire cell in a table is being transformed, surrogates are not mandatory. Surrogates are used to denote the location of the token and are necessary for re-identification in free form text. In order for inspection to work properly, the name of this info type must not occur naturally anywhere in your data; otherwise, inspection may either - reverse a surrogate that does not correspond to an actual identifier - be unable to parse the surrogate and result in an error Therefore, choose your custom info type name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE.
- context
Google
Privacy Dlp V2Field Id Response - A context may be used for higher security and maintaining referential integrity such that the same identifier in two different contexts will be given a distinct surrogate. The context is appended to plaintext value being encrypted. On decryption the provided context is validated against the value used during encryption. If a context was provided during encryption, same context must be provided during decryption as well. If the context is not set, plaintext would be used as is for encryption. If the context is set but: 1. there is no record present when transforming a given value or 2. the field is not present when transforming a given value, plaintext would be used as is for encryption. Note that case (1) is expected when an
InfoTypeTransformationis applied to both structured and unstructuredContentItems. - crypto_
key GooglePrivacy Dlp V2Crypto Key Response - The key used by the encryption function. For deterministic encryption using AES-SIV, the provided key is internally expanded to 64 bytes prior to use.
- surrogate_
info_ Googletype Privacy Dlp V2Info Type Response - The custom info type to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom info type followed by the number of characters comprising the surrogate. The following scheme defines the format: {info type name}({surrogate character count}):{surrogate} For example, if the name of custom info type is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom info type 'Surrogate'. This facilitates reversal of the surrogate when it occurs in free text. Note: For record transformations where the entire cell in a table is being transformed, surrogates are not mandatory. Surrogates are used to denote the location of the token and are necessary for re-identification in free form text. In order for inspection to work properly, the name of this info type must not occur naturally anywhere in your data; otherwise, inspection may either - reverse a surrogate that does not correspond to an actual identifier - be unable to parse the surrogate and result in an error Therefore, choose your custom info type name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE.
- context Property Map
- A context may be used for higher security and maintaining referential integrity such that the same identifier in two different contexts will be given a distinct surrogate. The context is appended to plaintext value being encrypted. On decryption the provided context is validated against the value used during encryption. If a context was provided during encryption, same context must be provided during decryption as well. If the context is not set, plaintext would be used as is for encryption. If the context is set but: 1. there is no record present when transforming a given value or 2. the field is not present when transforming a given value, plaintext would be used as is for encryption. Note that case (1) is expected when an
InfoTypeTransformationis applied to both structured and unstructuredContentItems. - crypto
Key Property Map - The key used by the encryption function. For deterministic encryption using AES-SIV, the provided key is internally expanded to 64 bytes prior to use.
- surrogate
Info Property MapType - The custom info type to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom info type followed by the number of characters comprising the surrogate. The following scheme defines the format: {info type name}({surrogate character count}):{surrogate} For example, if the name of custom info type is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom info type 'Surrogate'. This facilitates reversal of the surrogate when it occurs in free text. Note: For record transformations where the entire cell in a table is being transformed, surrogates are not mandatory. Surrogates are used to denote the location of the token and are necessary for re-identification in free form text. In order for inspection to work properly, the name of this info type must not occur naturally anywhere in your data; otherwise, inspection may either - reverse a surrogate that does not correspond to an actual identifier - be unable to parse the surrogate and result in an error Therefore, choose your custom info type name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE.
GooglePrivacyDlpV2CryptoHashConfigResponse, GooglePrivacyDlpV2CryptoHashConfigResponseArgs
- Crypto
Key Pulumi.Google Native. DLP. V2. Inputs. Google Privacy Dlp V2Crypto Key Response - The key used by the hash function.
- Crypto
Key GooglePrivacy Dlp V2Crypto Key Response - The key used by the hash function.
- crypto
Key GooglePrivacy Dlp V2Crypto Key Response - The key used by the hash function.
- crypto
Key GooglePrivacy Dlp V2Crypto Key Response - The key used by the hash function.
- crypto_
key GooglePrivacy Dlp V2Crypto Key Response - The key used by the hash function.
- crypto
Key Property Map - The key used by the hash function.
GooglePrivacyDlpV2CryptoKeyResponse, GooglePrivacyDlpV2CryptoKeyResponseArgs
- Kms
Wrapped Pulumi.Google Native. DLP. V2. Inputs. Google Privacy Dlp V2Kms Wrapped Crypto Key Response - Key wrapped using Cloud KMS
- Transient
Pulumi.
Google Native. DLP. V2. Inputs. Google Privacy Dlp V2Transient Crypto Key Response - Transient crypto key
- Unwrapped
Pulumi.
Google Native. DLP. V2. Inputs. Google Privacy Dlp V2Unwrapped Crypto Key Response - Unwrapped crypto key
- Kms
Wrapped GooglePrivacy Dlp V2Kms Wrapped Crypto Key Response - Key wrapped using Cloud KMS
- Transient
Google
Privacy Dlp V2Transient Crypto Key Response - Transient crypto key
- Unwrapped
Google
Privacy Dlp V2Unwrapped Crypto Key Response - Unwrapped crypto key
- kms
Wrapped GooglePrivacy Dlp V2Kms Wrapped Crypto Key Response - Key wrapped using Cloud KMS
- transient_
Google
Privacy Dlp V2Transient Crypto Key Response - Transient crypto key
- unwrapped
Google
Privacy Dlp V2Unwrapped Crypto Key Response - Unwrapped crypto key
- kms
Wrapped GooglePrivacy Dlp V2Kms Wrapped Crypto Key Response - Key wrapped using Cloud KMS
- transient
Google
Privacy Dlp V2Transient Crypto Key Response - Transient crypto key
- unwrapped
Google
Privacy Dlp V2Unwrapped Crypto Key Response - Unwrapped crypto key
- kms_
wrapped GooglePrivacy Dlp V2Kms Wrapped Crypto Key Response - Key wrapped using Cloud KMS
- transient
Google
Privacy Dlp V2Transient Crypto Key Response - Transient crypto key
- unwrapped
Google
Privacy Dlp V2Unwrapped Crypto Key Response - Unwrapped crypto key
- kms
Wrapped Property Map - Key wrapped using Cloud KMS
- transient Property Map
- Transient crypto key
- unwrapped Property Map
- Unwrapped crypto key
GooglePrivacyDlpV2CryptoReplaceFfxFpeConfigResponse, GooglePrivacyDlpV2CryptoReplaceFfxFpeConfigResponseArgs
- Common
Alphabet string - Common alphabets.
- Context
Pulumi.
Google Native. DLP. V2. Inputs. Google Privacy Dlp V2Field Id Response - The 'tweak', a context may be used for higher security since the same identifier in two different contexts won't be given the same surrogate. If the context is not set, a default tweak will be used. If the context is set but: 1. there is no record present when transforming a given value or 1. the field is not present when transforming a given value, a default tweak will be used. Note that case (1) is expected when an
InfoTypeTransformationis applied to both structured and unstructuredContentItems. Currently, the referenced field may be of value type integer or string. The tweak is constructed as a sequence of bytes in big endian byte order such that: - a 64 bit integer is encoded followed by a single byte of value 1 - a string is encoded in UTF-8 format followed by a single byte of value 2 - Crypto
Key Pulumi.Google Native. DLP. V2. Inputs. Google Privacy Dlp V2Crypto Key Response - The key used by the encryption algorithm.
- Custom
Alphabet string - This is supported by mapping these to the alphanumeric characters that the FFX mode natively supports. This happens before/after encryption/decryption. Each character listed must appear only once. Number of characters must be in the range [2, 95]. This must be encoded as ASCII. The order of characters does not matter. The full list of allowed characters is: 0123456789ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz ~`!@#$%^&*()_-+={[}]|:;"'<,>.?/
- Radix int
- The native way to select the alphabet. Must be in the range [2, 95].
- Surrogate
Info Pulumi.Type Google Native. DLP. V2. Inputs. Google Privacy Dlp V2Info Type Response - The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType
SurrogateType. This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE
- Common
Alphabet string - Common alphabets.
- Context
Google
Privacy Dlp V2Field Id Response - The 'tweak', a context may be used for higher security since the same identifier in two different contexts won't be given the same surrogate. If the context is not set, a default tweak will be used. If the context is set but: 1. there is no record present when transforming a given value or 1. the field is not present when transforming a given value, a default tweak will be used. Note that case (1) is expected when an
InfoTypeTransformationis applied to both structured and unstructuredContentItems. Currently, the referenced field may be of value type integer or string. The tweak is constructed as a sequence of bytes in big endian byte order such that: - a 64 bit integer is encoded followed by a single byte of value 1 - a string is encoded in UTF-8 format followed by a single byte of value 2 - Crypto
Key GooglePrivacy Dlp V2Crypto Key Response - The key used by the encryption algorithm.
- Custom
Alphabet string - This is supported by mapping these to the alphanumeric characters that the FFX mode natively supports. This happens before/after encryption/decryption. Each character listed must appear only once. Number of characters must be in the range [2, 95]. This must be encoded as ASCII. The order of characters does not matter. The full list of allowed characters is: 0123456789ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz ~`!@#$%^&*()_-+={[}]|:;"'<,>.?/
- Radix int
- The native way to select the alphabet. Must be in the range [2, 95].
- Surrogate
Info GoogleType Privacy Dlp V2Info Type Response - The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType
SurrogateType. This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE
- common
Alphabet String - Common alphabets.
- context
Google
Privacy Dlp V2Field Id Response - The 'tweak', a context may be used for higher security since the same identifier in two different contexts won't be given the same surrogate. If the context is not set, a default tweak will be used. If the context is set but: 1. there is no record present when transforming a given value or 1. the field is not present when transforming a given value, a default tweak will be used. Note that case (1) is expected when an
InfoTypeTransformationis applied to both structured and unstructuredContentItems. Currently, the referenced field may be of value type integer or string. The tweak is constructed as a sequence of bytes in big endian byte order such that: - a 64 bit integer is encoded followed by a single byte of value 1 - a string is encoded in UTF-8 format followed by a single byte of value 2 - crypto
Key GooglePrivacy Dlp V2Crypto Key Response - The key used by the encryption algorithm.
- custom
Alphabet String - This is supported by mapping these to the alphanumeric characters that the FFX mode natively supports. This happens before/after encryption/decryption. Each character listed must appear only once. Number of characters must be in the range [2, 95]. This must be encoded as ASCII. The order of characters does not matter. The full list of allowed characters is: 0123456789ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz ~`!@#$%^&*()_-+={[}]|:;"'<,>.?/
- radix Integer
- The native way to select the alphabet. Must be in the range [2, 95].
- surrogate
Info GoogleType Privacy Dlp V2Info Type Response - The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType
SurrogateType. This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE
- common
Alphabet string - Common alphabets.
- context
Google
Privacy Dlp V2Field Id Response - The 'tweak', a context may be used for higher security since the same identifier in two different contexts won't be given the same surrogate. If the context is not set, a default tweak will be used. If the context is set but: 1. there is no record present when transforming a given value or 1. the field is not present when transforming a given value, a default tweak will be used. Note that case (1) is expected when an
InfoTypeTransformationis applied to both structured and unstructuredContentItems. Currently, the referenced field may be of value type integer or string. The tweak is constructed as a sequence of bytes in big endian byte order such that: - a 64 bit integer is encoded followed by a single byte of value 1 - a string is encoded in UTF-8 format followed by a single byte of value 2 - crypto
Key GooglePrivacy Dlp V2Crypto Key Response - The key used by the encryption algorithm.
- custom
Alphabet string - This is supported by mapping these to the alphanumeric characters that the FFX mode natively supports. This happens before/after encryption/decryption. Each character listed must appear only once. Number of characters must be in the range [2, 95]. This must be encoded as ASCII. The order of characters does not matter. The full list of allowed characters is: 0123456789ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz ~`!@#$%^&*()_-+={[}]|:;"'<,>.?/
- radix number
- The native way to select the alphabet. Must be in the range [2, 95].
- surrogate
Info GoogleType Privacy Dlp V2Info Type Response - The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType
SurrogateType. This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE
- common_
alphabet str - Common alphabets.
- context
Google
Privacy Dlp V2Field Id Response - The 'tweak', a context may be used for higher security since the same identifier in two different contexts won't be given the same surrogate. If the context is not set, a default tweak will be used. If the context is set but: 1. there is no record present when transforming a given value or 1. the field is not present when transforming a given value, a default tweak will be used. Note that case (1) is expected when an
InfoTypeTransformationis applied to both structured and unstructuredContentItems. Currently, the referenced field may be of value type integer or string. The tweak is constructed as a sequence of bytes in big endian byte order such that: - a 64 bit integer is encoded followed by a single byte of value 1 - a string is encoded in UTF-8 format followed by a single byte of value 2 - crypto_
key GooglePrivacy Dlp V2Crypto Key Response - The key used by the encryption algorithm.
- custom_
alphabet str - This is supported by mapping these to the alphanumeric characters that the FFX mode natively supports. This happens before/after encryption/decryption. Each character listed must appear only once. Number of characters must be in the range [2, 95]. This must be encoded as ASCII. The order of characters does not matter. The full list of allowed characters is: 0123456789ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz ~`!@#$%^&*()_-+={[}]|:;"'<,>.?/
- radix int
- The native way to select the alphabet. Must be in the range [2, 95].
- surrogate_
info_ Googletype Privacy Dlp V2Info Type Response - The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType
SurrogateType. This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE
- common
Alphabet String - Common alphabets.
- context Property Map
- The 'tweak', a context may be used for higher security since the same identifier in two different contexts won't be given the same surrogate. If the context is not set, a default tweak will be used. If the context is set but: 1. there is no record present when transforming a given value or 1. the field is not present when transforming a given value, a default tweak will be used. Note that case (1) is expected when an
InfoTypeTransformationis applied to both structured and unstructuredContentItems. Currently, the referenced field may be of value type integer or string. The tweak is constructed as a sequence of bytes in big endian byte order such that: - a 64 bit integer is encoded followed by a single byte of value 1 - a string is encoded in UTF-8 format followed by a single byte of value 2 - crypto
Key Property Map - The key used by the encryption algorithm.
- custom
Alphabet String - This is supported by mapping these to the alphanumeric characters that the FFX mode natively supports. This happens before/after encryption/decryption. Each character listed must appear only once. Number of characters must be in the range [2, 95]. This must be encoded as ASCII. The order of characters does not matter. The full list of allowed characters is: 0123456789ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz ~`!@#$%^&*()_-+={[}]|:;"'<,>.?/
- radix Number
- The native way to select the alphabet. Must be in the range [2, 95].
- surrogate
Info Property MapType - The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType
SurrogateType. This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE
GooglePrivacyDlpV2CustomInfoType, GooglePrivacyDlpV2CustomInfoTypeArgs
- Detection
Rules List<Pulumi.Google Native. DLP. V2. Inputs. Google Privacy Dlp V2Detection Rule> - Set of detection rules to apply to all findings of this CustomInfoType. Rules are applied in order that they are specified. Not supported for the
surrogate_typeCustomInfoType. - Dictionary
Pulumi.
Google Native. DLP. V2. Inputs. Google Privacy Dlp V2Dictionary - A list of phrases to detect as a CustomInfoType.
- Exclusion
Type Pulumi.Google Native. DLP. V2. Google Privacy Dlp V2Custom Info Type Exclusion Type - If set to EXCLUSION_TYPE_EXCLUDE this infoType will not cause a finding to be returned. It still can be used for rules matching.
- Info
Type Pulumi.Google Native. DLP. V2. Inputs. Google Privacy Dlp V2Info Type - CustomInfoType can either be a new infoType, or an extension of built-in infoType, when the name matches one of existing infoTypes and that infoType is specified in
InspectContent.info_typesfield. Specifying the latter adds findings to the one detected by the system. If built-in info type is not specified inInspectContent.info_typeslist then the name is treated as a custom info type. - Likelihood
Pulumi.
Google Native. DLP. V2. Google Privacy Dlp V2Custom Info Type Likelihood - Likelihood to return for this CustomInfoType. This base value can be altered by a detection rule if the finding meets the criteria specified by the rule. Defaults to
VERY_LIKELYif not specified. - Regex
Pulumi.
Google Native. DLP. V2. Inputs. Google Privacy Dlp V2Regex - Regular expression based CustomInfoType.
- Sensitivity
Score Pulumi.Google Native. DLP. V2. Inputs. Google Privacy Dlp V2Sensitivity Score - Sensitivity for this CustomInfoType. If this CustomInfoType extends an existing InfoType, the sensitivity here will take precedence over that of the original InfoType. If unset for a CustomInfoType, it will default to HIGH. This only applies to data profiling.
- Stored
Type Pulumi.Google Native. DLP. V2. Inputs. Google Privacy Dlp V2Stored Type - Load an existing
StoredInfoTyperesource for use inInspectDataSource. Not currently supported inInspectContent. - Surrogate
Type Pulumi.Google Native. DLP. V2. Inputs. Google Privacy Dlp V2Surrogate Type - Message for detecting output from deidentification transformations that support reversing.
- Detection
Rules []GooglePrivacy Dlp V2Detection Rule - Set of detection rules to apply to all findings of this CustomInfoType. Rules are applied in order that they are specified. Not supported for the
surrogate_typeCustomInfoType. - Dictionary
Google
Privacy Dlp V2Dictionary - A list of phrases to detect as a CustomInfoType.
- Exclusion
Type GooglePrivacy Dlp V2Custom Info Type Exclusion Type - If set to EXCLUSION_TYPE_EXCLUDE this infoType will not cause a finding to be returned. It still can be used for rules matching.
- Info
Type GooglePrivacy Dlp V2Info Type - CustomInfoType can either be a new infoType, or an extension of built-in infoType, when the name matches one of existing infoTypes and that infoType is specified in
InspectContent.info_typesfield. Specifying the latter adds findings to the one detected by the system. If built-in info type is not specified inInspectContent.info_typeslist then the name is treated as a custom info type. - Likelihood
Google
Privacy Dlp V2Custom Info Type Likelihood - Likelihood to return for this CustomInfoType. This base value can be altered by a detection rule if the finding meets the criteria specified by the rule. Defaults to
VERY_LIKELYif not specified. - Regex
Google
Privacy Dlp V2Regex - Regular expression based CustomInfoType.
- Sensitivity
Score GooglePrivacy Dlp V2Sensitivity Score - Sensitivity for this CustomInfoType. If this CustomInfoType extends an existing InfoType, the sensitivity here will take precedence over that of the original InfoType. If unset for a CustomInfoType, it will default to HIGH. This only applies to data profiling.
- Stored
Type GooglePrivacy Dlp V2Stored Type - Load an existing
StoredInfoTyperesource for use inInspectDataSource. Not currently supported inInspectContent. - Surrogate
Type GooglePrivacy Dlp V2Surrogate Type - Message for detecting output from deidentification transformations that support reversing.
- detection
Rules List<GooglePrivacy Dlp V2Detection Rule> - Set of detection rules to apply to all findings of this CustomInfoType. Rules are applied in order that they are specified. Not supported for the
surrogate_typeCustomInfoType. - dictionary
Google
Privacy Dlp V2Dictionary - A list of phrases to detect as a CustomInfoType.
- exclusion
Type GooglePrivacy Dlp V2Custom Info Type Exclusion Type - If set to EXCLUSION_TYPE_EXCLUDE this infoType will not cause a finding to be returned. It still can be used for rules matching.
- info
Type GooglePrivacy Dlp V2Info Type - CustomInfoType can either be a new infoType, or an extension of built-in infoType, when the name matches one of existing infoTypes and that infoType is specified in
InspectContent.info_typesfield. Specifying the latter adds findings to the one detected by the system. If built-in info type is not specified inInspectContent.info_typeslist then the name is treated as a custom info type. - likelihood
Google
Privacy Dlp V2Custom Info Type Likelihood - Likelihood to return for this CustomInfoType. This base value can be altered by a detection rule if the finding meets the criteria specified by the rule. Defaults to
VERY_LIKELYif not specified. - regex
Google
Privacy Dlp V2Regex - Regular expression based CustomInfoType.
- sensitivity
Score GooglePrivacy Dlp V2Sensitivity Score - Sensitivity for this CustomInfoType. If this CustomInfoType extends an existing InfoType, the sensitivity here will take precedence over that of the original InfoType. If unset for a CustomInfoType, it will default to HIGH. This only applies to data profiling.
- stored
Type GooglePrivacy Dlp V2Stored Type - Load an existing
StoredInfoTyperesource for use inInspectDataSource. Not currently supported inInspectContent. - surrogate
Type GooglePrivacy Dlp V2Surrogate Type - Message for detecting output from deidentification transformations that support reversing.
- detection
Rules GooglePrivacy Dlp V2Detection Rule[] - Set of detection rules to apply to all findings of this CustomInfoType. Rules are applied in order that they are specified. Not supported for the
surrogate_typeCustomInfoType. - dictionary
Google
Privacy Dlp V2Dictionary - A list of phrases to detect as a CustomInfoType.
- exclusion
Type GooglePrivacy Dlp V2Custom Info Type Exclusion Type - If set to EXCLUSION_TYPE_EXCLUDE this infoType will not cause a finding to be returned. It still can be used for rules matching.
- info
Type GooglePrivacy Dlp V2Info Type - CustomInfoType can either be a new infoType, or an extension of built-in infoType, when the name matches one of existing infoTypes and that infoType is specified in
InspectContent.info_typesfield. Specifying the latter adds findings to the one detected by the system. If built-in info type is not specified inInspectContent.info_typeslist then the name is treated as a custom info type. - likelihood
Google
Privacy Dlp V2Custom Info Type Likelihood - Likelihood to return for this CustomInfoType. This base value can be altered by a detection rule if the finding meets the criteria specified by the rule. Defaults to
VERY_LIKELYif not specified. - regex
Google
Privacy Dlp V2Regex - Regular expression based CustomInfoType.
- sensitivity
Score GooglePrivacy Dlp V2Sensitivity Score - Sensitivity for this CustomInfoType. If this CustomInfoType extends an existing InfoType, the sensitivity here will take precedence over that of the original InfoType. If unset for a CustomInfoType, it will default to HIGH. This only applies to data profiling.
- stored
Type GooglePrivacy Dlp V2Stored Type - Load an existing
StoredInfoTyperesource for use inInspectDataSource. Not currently supported inInspectContent. - surrogate
Type GooglePrivacy Dlp V2Surrogate Type - Message for detecting output from deidentification transformations that support reversing.
- detection_
rules Sequence[GooglePrivacy Dlp V2Detection Rule] - Set of detection rules to apply to all findings of this CustomInfoType. Rules are applied in order that they are specified. Not supported for the
surrogate_typeCustomInfoType. - dictionary
Google
Privacy Dlp V2Dictionary - A list of phrases to detect as a CustomInfoType.
- exclusion_
type GooglePrivacy Dlp V2Custom Info Type Exclusion Type - If set to EXCLUSION_TYPE_EXCLUDE this infoType will not cause a finding to be returned. It still can be used for rules matching.
- info_
type GooglePrivacy Dlp V2Info Type - CustomInfoType can either be a new infoType, or an extension of built-in infoType, when the name matches one of existing infoTypes and that infoType is specified in
InspectContent.info_typesfield. Specifying the latter adds findings to the one detected by the system. If built-in info type is not specified inInspectContent.info_typeslist then the name is treated as a custom info type. - likelihood
Google
Privacy Dlp V2Custom Info Type Likelihood - Likelihood to return for this CustomInfoType. This base value can be altered by a detection rule if the finding meets the criteria specified by the rule. Defaults to
VERY_LIKELYif not specified. - regex
Google
Privacy Dlp V2Regex - Regular expression based CustomInfoType.
- sensitivity_
score GooglePrivacy Dlp V2Sensitivity Score - Sensitivity for this CustomInfoType. If this CustomInfoType extends an existing InfoType, the sensitivity here will take precedence over that of the original InfoType. If unset for a CustomInfoType, it will default to HIGH. This only applies to data profiling.
- stored_
type GooglePrivacy Dlp V2Stored Type - Load an existing
StoredInfoTyperesource for use inInspectDataSource. Not currently supported inInspectContent. - surrogate_
type GooglePrivacy Dlp V2Surrogate Type - Message for detecting output from deidentification transformations that support reversing.
- detection
Rules List<Property Map> - Set of detection rules to apply to all findings of this CustomInfoType. Rules are applied in order that they are specified. Not supported for the
surrogate_typeCustomInfoType. - dictionary Property Map
- A list of phrases to detect as a CustomInfoType.
- exclusion
Type "EXCLUSION_TYPE_UNSPECIFIED" | "EXCLUSION_TYPE_EXCLUDE" - If set to EXCLUSION_TYPE_EXCLUDE this infoType will not cause a finding to be returned. It still can be used for rules matching.
- info
Type Property Map - CustomInfoType can either be a new infoType, or an extension of built-in infoType, when the name matches one of existing infoTypes and that infoType is specified in
InspectContent.info_typesfield. Specifying the latter adds findings to the one detected by the system. If built-in info type is not specified inInspectContent.info_typeslist then the name is treated as a custom info type. - likelihood "LIKELIHOOD_UNSPECIFIED" | "VERY_UNLIKELY" | "UNLIKELY" | "POSSIBLE" | "LIKELY" | "VERY_LIKELY"
- Likelihood to return for this CustomInfoType. This base value can be altered by a detection rule if the finding meets the criteria specified by the rule. Defaults to
VERY_LIKELYif not specified. - regex Property Map
- Regular expression based CustomInfoType.
- sensitivity
Score Property Map - Sensitivity for this CustomInfoType. If this CustomInfoType extends an existing InfoType, the sensitivity here will take precedence over that of the original InfoType. If unset for a CustomInfoType, it will default to HIGH. This only applies to data profiling.
- stored
Type Property Map - Load an existing
StoredInfoTyperesource for use inInspectDataSource. Not currently supported inInspectContent. - surrogate
Type Property Map - Message for detecting output from deidentification transformations that support reversing.
GooglePrivacyDlpV2CustomInfoTypeExclusionType, GooglePrivacyDlpV2CustomInfoTypeExclusionTypeArgs
- Exclusion
Type Unspecified - EXCLUSION_TYPE_UNSPECIFIEDA finding of this custom info type will not be excluded from results.
- Exclusion
Type Exclude - EXCLUSION_TYPE_EXCLUDEA finding of this custom info type will be excluded from final results, but can still affect rule execution.
- Google
Privacy Dlp V2Custom Info Type Exclusion Type Exclusion Type Unspecified - EXCLUSION_TYPE_UNSPECIFIEDA finding of this custom info type will not be excluded from results.
- Google
Privacy Dlp V2Custom Info Type Exclusion Type Exclusion Type Exclude - EXCLUSION_TYPE_EXCLUDEA finding of this custom info type will be excluded from final results, but can still affect rule execution.
- Exclusion
Type Unspecified - EXCLUSION_TYPE_UNSPECIFIEDA finding of this custom info type will not be excluded from results.
- Exclusion
Type Exclude - EXCLUSION_TYPE_EXCLUDEA finding of this custom info type will be excluded from final results, but can still affect rule execution.
- Exclusion
Type Unspecified - EXCLUSION_TYPE_UNSPECIFIEDA finding of this custom info type will not be excluded from results.
- Exclusion
Type Exclude - EXCLUSION_TYPE_EXCLUDEA finding of this custom info type will be excluded from final results, but can still affect rule execution.
- EXCLUSION_TYPE_UNSPECIFIED
- EXCLUSION_TYPE_UNSPECIFIEDA finding of this custom info type will not be excluded from results.
- EXCLUSION_TYPE_EXCLUDE
- EXCLUSION_TYPE_EXCLUDEA finding of this custom info type will be excluded from final results, but can still affect rule execution.
- "EXCLUSION_TYPE_UNSPECIFIED"
- EXCLUSION_TYPE_UNSPECIFIEDA finding of this custom info type will not be excluded from results.
- "EXCLUSION_TYPE_EXCLUDE"
- EXCLUSION_TYPE_EXCLUDEA finding of this custom info type will be excluded from final results, but can still affect rule execution.
GooglePrivacyDlpV2CustomInfoTypeLikelihood, GooglePrivacyDlpV2CustomInfoTypeLikelihoodArgs
- Likelihood
Unspecified - LIKELIHOOD_UNSPECIFIEDDefault value; same as POSSIBLE.
- Very
Unlikely - VERY_UNLIKELYHighest chance of a false positive.
- Unlikely
- UNLIKELYHigh chance of a false positive.
- Possible
- POSSIBLESome matching signals. The default value.
- Likely
- LIKELYLow chance of a false positive.
- Very
Likely - VERY_LIKELYConfidence level is high. Lowest chance of a false positive.
- Google
Privacy Dlp V2Custom Info Type Likelihood Likelihood Unspecified - LIKELIHOOD_UNSPECIFIEDDefault value; same as POSSIBLE.
- Google
Privacy Dlp V2Custom Info Type Likelihood Very Unlikely - VERY_UNLIKELYHighest chance of a false positive.
- Google
Privacy Dlp V2Custom Info Type Likelihood Unlikely - UNLIKELYHigh chance of a false positive.
- Google
Privacy Dlp V2Custom Info Type Likelihood Possible - POSSIBLESome matching signals. The default value.
- Google
Privacy Dlp V2Custom Info Type Likelihood Likely - LIKELYLow chance of a false positive.
- Google
Privacy Dlp V2Custom Info Type Likelihood Very Likely - VERY_LIKELYConfidence level is high. Lowest chance of a false positive.
- Likelihood
Unspecified - LIKELIHOOD_UNSPECIFIEDDefault value; same as POSSIBLE.
- Very
Unlikely - VERY_UNLIKELYHighest chance of a false positive.
- Unlikely
- UNLIKELYHigh chance of a false positive.
- Possible
- POSSIBLESome matching signals. The default value.
- Likely
- LIKELYLow chance of a false positive.
- Very
Likely - VERY_LIKELYConfidence level is high. Lowest chance of a false positive.
- Likelihood
Unspecified - LIKELIHOOD_UNSPECIFIEDDefault value; same as POSSIBLE.
- Very
Unlikely - VERY_UNLIKELYHighest chance of a false positive.
- Unlikely
- UNLIKELYHigh chance of a false positive.
- Possible
- POSSIBLESome matching signals. The default value.
- Likely
- LIKELYLow chance of a false positive.
- Very
Likely - VERY_LIKELYConfidence level is high. Lowest chance of a false positive.
- LIKELIHOOD_UNSPECIFIED
- LIKELIHOOD_UNSPECIFIEDDefault value; same as POSSIBLE.
- VERY_UNLIKELY
- VERY_UNLIKELYHighest chance of a false positive.
- UNLIKELY
- UNLIKELYHigh chance of a false positive.
- POSSIBLE
- POSSIBLESome matching signals. The default value.
- LIKELY
- LIKELYLow chance of a false positive.
- VERY_LIKELY
- VERY_LIKELYConfidence level is high. Lowest chance of a false positive.
- "LIKELIHOOD_UNSPECIFIED"
- LIKELIHOOD_UNSPECIFIEDDefault value; same as POSSIBLE.
- "VERY_UNLIKELY"
- VERY_UNLIKELYHighest chance of a false positive.
- "UNLIKELY"
- UNLIKELYHigh chance of a false positive.
- "POSSIBLE"
- POSSIBLESome matching signals. The default value.
- "LIKELY"
- LIKELYLow chance of a false positive.
- "VERY_LIKELY"
- VERY_LIKELYConfidence level is high. Lowest chance of a false positive.
GooglePrivacyDlpV2CustomInfoTypeResponse, GooglePrivacyDlpV2CustomInfoTypeResponseArgs
- Detection
Rules List<Pulumi.Google Native. DLP. V2. Inputs. Google Privacy Dlp V2Detection Rule Response> - Set of detection rules to apply to all findings of this CustomInfoType. Rules are applied in order that they are specified. Not supported for the
surrogate_typeCustomInfoType. - Dictionary
Pulumi.
Google Native. DLP. V2. Inputs. Google Privacy Dlp V2Dictionary Response - A list of phrases to detect as a CustomInfoType.
- Exclusion
Type string - If set to EXCLUSION_TYPE_EXCLUDE this infoType will not cause a finding to be returned. It still can be used for rules matching.
- Info
Type Pulumi.Google Native. DLP. V2. Inputs. Google Privacy Dlp V2Info Type Response - CustomInfoType can either be a new infoType, or an extension of built-in infoType, when the name matches one of existing infoTypes and that infoType is specified in
InspectContent.info_typesfield. Specifying the latter adds findings to the one detected by the system. If built-in info type is not specified inInspectContent.info_typeslist then the name is treated as a custom info type. - Likelihood string
- Likelihood to return for this CustomInfoType. This base value can be altered by a detection rule if the finding meets the criteria specified by the rule. Defaults to
VERY_LIKELYif not specified. - Regex
Pulumi.
Google Native. DLP. V2. Inputs. Google Privacy Dlp V2Regex Response - Regular expression based CustomInfoType.
- Sensitivity
Score Pulumi.Google Native. DLP. V2. Inputs. Google Privacy Dlp V2Sensitivity Score Response - Sensitivity for this CustomInfoType. If this CustomInfoType extends an existing InfoType, the sensitivity here will take precedence over that of the original InfoType. If unset for a CustomInfoType, it will default to HIGH. This only applies to data profiling.
- Stored
Type Pulumi.Google Native. DLP. V2. Inputs. Google Privacy Dlp V2Stored Type Response - Load an existing
StoredInfoTyperesource for use inInspectDataSource. Not currently supported inInspectContent. - Surrogate
Type Pulumi.Google Native. DLP. V2. Inputs. Google Privacy Dlp V2Surrogate Type Response - Message for detecting output from deidentification transformations that support reversing.
- Detection
Rules []GooglePrivacy Dlp V2Detection Rule Response - Set of detection rules to apply to all findings of this CustomInfoType. Rules are applied in order that they are specified. Not supported for the
surrogate_typeCustomInfoType. - Dictionary
Google
Privacy Dlp V2Dictionary Response - A list of phrases to detect as a CustomInfoType.
- Exclusion
Type string - If set to EXCLUSION_TYPE_EXCLUDE this infoType will not cause a finding to be returned. It still can be used for rules matching.
- Info
Type GooglePrivacy Dlp V2Info Type Response - CustomInfoType can either be a new infoType, or an extension of built-in infoType, when the name matches one of existing infoTypes and that infoType is specified in
InspectContent.info_typesfield. Specifying the latter adds findings to the one detected by the system. If built-in info type is not specified inInspectContent.info_typeslist then the name is treated as a custom info type. - Likelihood string
- Likelihood to return for this CustomInfoType. This base value can be altered by a detection rule if the finding meets the criteria specified by the rule. Defaults to
VERY_LIKELYif not specified. - Regex
Google
Privacy Dlp V2Regex Response - Regular expression based CustomInfoType.
- Sensitivity
Score GooglePrivacy Dlp V2Sensitivity Score Response - Sensitivity for this CustomInfoType. If this CustomInfoType extends an existing InfoType, the sensitivity here will take precedence over that of the original InfoType. If unset for a CustomInfoType, it will default to HIGH. This only applies to data profiling.
- Stored
Type GooglePrivacy Dlp V2Stored Type Response - Load an existing
StoredInfoTyperesource for use inInspectDataSource. Not currently supported inInspectContent. - Surrogate
Type GooglePrivacy Dlp V2Surrogate Type Response - Message for detecting output from deidentification transformations that support reversing.
- detection
Rules List<GooglePrivacy Dlp V2Detection Rule Response> - Set of detection rules to apply to all findings of this CustomInfoType. Rules are applied in order that they are specified. Not supported for the
surrogate_typeCustomInfoType. - dictionary
Google
Privacy Dlp V2Dictionary Response - A list of phrases to detect as a CustomInfoType.
- exclusion
Type String - If set to EXCLUSION_TYPE_EXCLUDE this infoType will not cause a finding to be returned. It still can be used for rules matching.
- info
Type GooglePrivacy Dlp V2Info Type Response - CustomInfoType can either be a new infoType, or an extension of built-in infoType, when the name matches one of existing infoTypes and that infoType is specified in
InspectContent.info_typesfield. Specifying the latter adds findings to the one detected by the system. If built-in info type is not specified inInspectContent.info_typeslist then the name is treated as a custom info type. - likelihood String
- Likelihood to return for this CustomInfoType. This base value can be altered by a detection rule if the finding meets the criteria specified by the rule. Defaults to
VERY_LIKELYif not specified. - regex
Google
Privacy Dlp V2Regex Response - Regular expression based CustomInfoType.
- sensitivity
Score GooglePrivacy Dlp V2Sensitivity Score Response - Sensitivity for this CustomInfoType. If this CustomInfoType extends an existing InfoType, the sensitivity here will take precedence over that of the original InfoType. If unset for a CustomInfoType, it will default to HIGH. This only applies to data profiling.
- stored
Type GooglePrivacy Dlp V2Stored Type Response - Load an existing
StoredInfoTyperesource for use inInspectDataSource. Not currently supported inInspectContent. - surrogate
Type GooglePrivacy Dlp V2Surrogate Type Response - Message for detecting output from deidentification transformations that support reversing.
- detection
Rules GooglePrivacy Dlp V2Detection Rule Response[] - Set of detection rules to apply to all findings of this CustomInfoType. Rules are applied in order that they are specified. Not supported for the
surrogate_typeCustomInfoType. - dictionary
Google
Privacy Dlp V2Dictionary Response - A list of phrases to detect as a CustomInfoType.
- exclusion
Type string - If set to EXCLUSION_TYPE_EXCLUDE this infoType will not cause a finding to be returned. It still can be used for rules matching.
- info
Type GooglePrivacy Dlp V2Info Type Response - CustomInfoType can either be a new infoType, or an extension of built-in infoType, when the name matches one of existing infoTypes and that infoType is specified in
InspectContent.info_typesfield. Specifying the latter adds findings to the one detected by the system. If built-in info type is not specified inInspectContent.info_typeslist then the name is treated as a custom info type. - likelihood string
- Likelihood to return for this CustomInfoType. This base value can be altered by a detection rule if the finding meets the criteria specified by the rule. Defaults to
VERY_LIKELYif not specified. - regex
Google
Privacy Dlp V2Regex Response - Regular expression based CustomInfoType.
- sensitivity
Score GooglePrivacy Dlp V2Sensitivity Score Response - Sensitivity for this CustomInfoType. If this CustomInfoType extends an existing InfoType, the sensitivity here will take precedence over that of the original InfoType. If unset for a CustomInfoType, it will default to HIGH. This only applies to data profiling.
- stored
Type GooglePrivacy Dlp V2Stored Type Response - Load an existing
StoredInfoTyperesource for use inInspectDataSource. Not currently supported inInspectContent. - surrogate
Type GooglePrivacy Dlp V2Surrogate Type Response - Message for detecting output from deidentification transformations that support reversing.
- detection_
rules Sequence[GooglePrivacy Dlp V2Detection Rule Response] - Set of detection rules to apply to all findings of this CustomInfoType. Rules are applied in order that they are specified. Not supported for the
surrogate_typeCustomInfoType. - dictionary
Google
Privacy Dlp V2Dictionary Response - A list of phrases to detect as a CustomInfoType.
- exclusion_
type str - If set to EXCLUSION_TYPE_EXCLUDE this infoType will not cause a finding to be returned. It still can be used for rules matching.
- info_
type GooglePrivacy Dlp V2Info Type Response - CustomInfoType can either be a new infoType, or an extension of built-in infoType, when the name matches one of existing infoTypes and that infoType is specified in
InspectContent.info_typesfield. Specifying the latter adds findings to the one detected by the system. If built-in info type is not specified inInspectContent.info_typeslist then the name is treated as a custom info type. - likelihood str
- Likelihood to return for this CustomInfoType. This base value can be altered by a detection rule if the finding meets the criteria specified by the rule. Defaults to
VERY_LIKELYif not specified. - regex
Google
Privacy Dlp V2Regex Response - Regular expression based CustomInfoType.
- sensitivity_
score GooglePrivacy Dlp V2Sensitivity Score Response - Sensitivity for this CustomInfoType. If this CustomInfoType extends an existing InfoType, the sensitivity here will take precedence over that of the original InfoType. If unset for a CustomInfoType, it will default to HIGH. This only applies to data profiling.
- stored_
type GooglePrivacy Dlp V2Stored Type Response - Load an existing
StoredInfoTyperesource for use inInspectDataSource. Not currently supported inInspectContent. - surrogate_
type GooglePrivacy Dlp V2Surrogate Type Response - Message for detecting output from deidentification transformations that support reversing.
- detection
Rules List<Property Map> - Set of detection rules to apply to all findings of this CustomInfoType. Rules are applied in order that they are specified. Not supported for the
surrogate_typeCustomInfoType. - dictionary Property Map
- A list of phrases to detect as a CustomInfoType.
- exclusion
Type String - If set to EXCLUSION_TYPE_EXCLUDE this infoType will not cause a finding to be returned. It still can be used for rules matching.
- info
Type Property Map - CustomInfoType can either be a new infoType, or an extension of built-in infoType, when the name matches one of existing infoTypes and that infoType is specified in
InspectContent.info_typesfield. Specifying the latter adds findings to the one detected by the system. If built-in info type is not specified inInspectContent.info_typeslist then the name is treated as a custom info type. - likelihood String
- Likelihood to return for this CustomInfoType. This base value can be altered by a detection rule if the finding meets the criteria specified by the rule. Defaults to
VERY_LIKELYif not specified. - regex Property Map
- Regular expression based CustomInfoType.
- sensitivity
Score Property Map - Sensitivity for this CustomInfoType. If this CustomInfoType extends an existing InfoType, the sensitivity here will take precedence over that of the original InfoType. If unset for a CustomInfoType, it will default to HIGH. This only applies to data profiling.
- stored
Type Property Map - Load an existing
StoredInfoTyperesource for use inInspectDataSource. Not currently supported inInspectContent. - surrogate
Type Property Map - Message for detecting output from deidentification transformations that support reversing.
GooglePrivacyDlpV2DatastoreOptions, GooglePrivacyDlpV2DatastoreOptionsArgs
- Kind
Pulumi.
Google Native. DLP. V2. Inputs. Google Privacy Dlp V2Kind Expression - The kind to process.
- Partition
Id Pulumi.Google Native. DLP. V2. Inputs. Google Privacy Dlp V2Partition Id - A partition ID identifies a grouping of entities. The grouping is always by project and namespace, however the namespace ID may be empty.
- Kind
Google
Privacy Dlp V2Kind Expression - The kind to process.
- Partition
Id GooglePrivacy Dlp V2Partition Id - A partition ID identifies a grouping of entities. The grouping is always by project and namespace, however the namespace ID may be empty.
- kind
Google
Privacy Dlp V2Kind Expression - The kind to process.
- partition
Id GooglePrivacy Dlp V2Partition Id - A partition ID identifies a grouping of entities. The grouping is always by project and namespace, however the namespace ID may be empty.
- kind
Google
Privacy Dlp V2Kind Expression - The kind to process.
- partition
Id GooglePrivacy Dlp V2Partition Id - A partition ID identifies a grouping of entities. The grouping is always by project and namespace, however the namespace ID may be empty.
- kind
Google
Privacy Dlp V2Kind Expression - The kind to process.
- partition_
id GooglePrivacy Dlp V2Partition Id - A partition ID identifies a grouping of entities. The grouping is always by project and namespace, however the namespace ID may be empty.
- kind Property Map
- The kind to process.
- partition
Id Property Map - A partition ID identifies a grouping of entities. The grouping is always by project and namespace, however the namespace ID may be empty.
GooglePrivacyDlpV2DatastoreOptionsResponse, GooglePrivacyDlpV2DatastoreOptionsResponseArgs
- Kind
Pulumi.
Google Native. DLP. V2. Inputs. Google Privacy Dlp V2Kind Expression Response - The kind to process.
- Partition
Id Pulumi.Google Native. DLP. V2. Inputs. Google Privacy Dlp V2Partition Id Response - A partition ID identifies a grouping of entities. The grouping is always by project and namespace, however the namespace ID may be empty.
- Kind
Google
Privacy Dlp V2Kind Expression Response - The kind to process.
- Partition
Id GooglePrivacy Dlp V2Partition Id Response - A partition ID identifies a grouping of entities. The grouping is always by project and namespace, however the namespace ID may be empty.
- kind
Google
Privacy Dlp V2Kind Expression Response - The kind to process.
- partition
Id GooglePrivacy Dlp V2Partition Id Response - A partition ID identifies a grouping of entities. The grouping is always by project and namespace, however the namespace ID may be empty.
- kind
Google
Privacy Dlp V2Kind Expression Response - The kind to process.
- partition
Id GooglePrivacy Dlp V2Partition Id Response - A partition ID identifies a grouping of entities. The grouping is always by project and namespace, however the namespace ID may be empty.
- kind
Google
Privacy Dlp V2Kind Expression Response - The kind to process.
- partition_
id GooglePrivacy Dlp V2Partition Id Response - A partition ID identifies a grouping of entities. The grouping is always by project and namespace, however the namespace ID may be empty.
- kind Property Map
- The kind to process.
- partition
Id Property Map - A partition ID identifies a grouping of entities. The grouping is always by project and namespace, however the namespace ID may be empty.
GooglePrivacyDlpV2DateShiftConfigResponse, GooglePrivacyDlpV2DateShiftConfigResponseArgs
- Context
Pulumi.
Google Native. DLP. V2. Inputs. Google Privacy Dlp V2Field Id Response - Points to the field that contains the context, for example, an entity id. If set, must also set cryptoKey. If set, shift will be consistent for the given context.
- Crypto
Key Pulumi.Google Native. DLP. V2. Inputs. Google Privacy Dlp V2Crypto Key Response - Causes the shift to be computed based on this key and the context. This results in the same shift for the same context and crypto_key. If set, must also set context. Can only be applied to table items.
- Lower
Bound intDays - For example, -5 means shift date to at most 5 days back in the past.
- Upper
Bound intDays - Range of shift in days. Actual shift will be selected at random within this range (inclusive ends). Negative means shift to earlier in time. Must not be more than 365250 days (1000 years) each direction. For example, 3 means shift date to at most 3 days into the future.
- Context
Google
Privacy Dlp V2Field Id Response - Points to the field that contains the context, for example, an entity id. If set, must also set cryptoKey. If set, shift will be consistent for the given context.
- Crypto
Key GooglePrivacy Dlp V2Crypto Key Response - Causes the shift to be computed based on this key and the context. This results in the same shift for the same context and crypto_key. If set, must also set context. Can only be applied to table items.
- Lower
Bound intDays - For example, -5 means shift date to at most 5 days back in the past.
- Upper
Bound intDays - Range of shift in days. Actual shift will be selected at random within this range (inclusive ends). Negative means shift to earlier in time. Must not be more than 365250 days (1000 years) each direction. For example, 3 means shift date to at most 3 days into the future.
- context
Google
Privacy Dlp V2Field Id Response - Points to the field that contains the context, for example, an entity id. If set, must also set cryptoKey. If set, shift will be consistent for the given context.
- crypto
Key GooglePrivacy Dlp V2Crypto Key Response - Causes the shift to be computed based on this key and the context. This results in the same shift for the same context and crypto_key. If set, must also set context. Can only be applied to table items.
- lower
Bound IntegerDays - For example, -5 means shift date to at most 5 days back in the past.
- upper
Bound IntegerDays - Range of shift in days. Actual shift will be selected at random within this range (inclusive ends). Negative means shift to earlier in time. Must not be more than 365250 days (1000 years) each direction. For example, 3 means shift date to at most 3 days into the future.
- context
Google
Privacy Dlp V2Field Id Response - Points to the field that contains the context, for example, an entity id. If set, must also set cryptoKey. If set, shift will be consistent for the given context.
- crypto
Key GooglePrivacy Dlp V2Crypto Key Response - Causes the shift to be computed based on this key and the context. This results in the same shift for the same context and crypto_key. If set, must also set context. Can only be applied to table items.
- lower
Bound numberDays - For example, -5 means shift date to at most 5 days back in the past.
- upper
Bound numberDays - Range of shift in days. Actual shift will be selected at random within this range (inclusive ends). Negative means shift to earlier in time. Must not be more than 365250 days (1000 years) each direction. For example, 3 means shift date to at most 3 days into the future.
- context
Google
Privacy Dlp V2Field Id Response - Points to the field that contains the context, for example, an entity id. If set, must also set cryptoKey. If set, shift will be consistent for the given context.
- crypto_
key GooglePrivacy Dlp V2Crypto Key Response - Causes the shift to be computed based on this key and the context. This results in the same shift for the same context and crypto_key. If set, must also set context. Can only be applied to table items.
- lower_
bound_ intdays - For example, -5 means shift date to at most 5 days back in the past.
- upper_
bound_ intdays - Range of shift in days. Actual shift will be selected at random within this range (inclusive ends). Negative means shift to earlier in time. Must not be more than 365250 days (1000 years) each direction. For example, 3 means shift date to at most 3 days into the future.
- context Property Map
- Points to the field that contains the context, for example, an entity id. If set, must also set cryptoKey. If set, shift will be consistent for the given context.
- crypto
Key Property Map - Causes the shift to be computed based on this key and the context. This results in the same shift for the same context and crypto_key. If set, must also set context. Can only be applied to table items.
- lower
Bound NumberDays - For example, -5 means shift date to at most 5 days back in the past.
- upper
Bound NumberDays - Range of shift in days. Actual shift will be selected at random within this range (inclusive ends). Negative means shift to earlier in time. Must not be more than 365250 days (1000 years) each direction. For example, 3 means shift date to at most 3 days into the future.
GooglePrivacyDlpV2Deidentify, GooglePrivacyDlpV2DeidentifyArgs
- Cloud
Storage stringOutput - User settable Cloud Storage bucket and folders to store de-identified files. This field must be set for cloud storage deidentification. The output Cloud Storage bucket must be different from the input bucket. De-identified files will overwrite files in the output path. Form of: gs://bucket/folder/ or gs://bucket
- File
Types List<Pulumi.To Transform Google Native. DLP. V2. Google Privacy Dlp V2Deidentify File Types To Transform Item> - List of user-specified file type groups to transform. If specified, only the files with these filetypes will be transformed. If empty, all supported files will be transformed. Supported types may be automatically added over time. If a file type is set in this field that isn't supported by the Deidentify action then the job will fail and will not be successfully created/started. Currently the only filetypes supported are: IMAGES, TEXT_FILES, CSV, TSV.
- Transformation
Config Pulumi.Google Native. DLP. V2. Inputs. Google Privacy Dlp V2Transformation Config - User specified deidentify templates and configs for structured, unstructured, and image files.
- Transformation
Details Pulumi.Storage Config Google Native. DLP. V2. Inputs. Google Privacy Dlp V2Transformation Details Storage Config - Config for storing transformation details. This is separate from the de-identified content, and contains metadata about the successful transformations and/or failures that occurred while de-identifying. This needs to be set in order for users to access information about the status of each transformation (see TransformationDetails message for more information about what is noted).
- Cloud
Storage stringOutput - User settable Cloud Storage bucket and folders to store de-identified files. This field must be set for cloud storage deidentification. The output Cloud Storage bucket must be different from the input bucket. De-identified files will overwrite files in the output path. Form of: gs://bucket/folder/ or gs://bucket
- File
Types []GoogleTo Transform Privacy Dlp V2Deidentify File Types To Transform Item - List of user-specified file type groups to transform. If specified, only the files with these filetypes will be transformed. If empty, all supported files will be transformed. Supported types may be automatically added over time. If a file type is set in this field that isn't supported by the Deidentify action then the job will fail and will not be successfully created/started. Currently the only filetypes supported are: IMAGES, TEXT_FILES, CSV, TSV.
- Transformation
Config GooglePrivacy Dlp V2Transformation Config - User specified deidentify templates and configs for structured, unstructured, and image files.
- Transformation
Details GoogleStorage Config Privacy Dlp V2Transformation Details Storage Config - Config for storing transformation details. This is separate from the de-identified content, and contains metadata about the successful transformations and/or failures that occurred while de-identifying. This needs to be set in order for users to access information about the status of each transformation (see TransformationDetails message for more information about what is noted).
- cloud
Storage StringOutput - User settable Cloud Storage bucket and folders to store de-identified files. This field must be set for cloud storage deidentification. The output Cloud Storage bucket must be different from the input bucket. De-identified files will overwrite files in the output path. Form of: gs://bucket/folder/ or gs://bucket
- file
Types List<GoogleTo Transform Privacy Dlp V2Deidentify File Types To Transform Item> - List of user-specified file type groups to transform. If specified, only the files with these filetypes will be transformed. If empty, all supported files will be transformed. Supported types may be automatically added over time. If a file type is set in this field that isn't supported by the Deidentify action then the job will fail and will not be successfully created/started. Currently the only filetypes supported are: IMAGES, TEXT_FILES, CSV, TSV.
- transformation
Config GooglePrivacy Dlp V2Transformation Config - User specified deidentify templates and configs for structured, unstructured, and image files.
- transformation
Details GoogleStorage Config Privacy Dlp V2Transformation Details Storage Config - Config for storing transformation details. This is separate from the de-identified content, and contains metadata about the successful transformations and/or failures that occurred while de-identifying. This needs to be set in order for users to access information about the status of each transformation (see TransformationDetails message for more information about what is noted).
- cloud
Storage stringOutput - User settable Cloud Storage bucket and folders to store de-identified files. This field must be set for cloud storage deidentification. The output Cloud Storage bucket must be different from the input bucket. De-identified files will overwrite files in the output path. Form of: gs://bucket/folder/ or gs://bucket
- file
Types GoogleTo Transform Privacy Dlp V2Deidentify File Types To Transform Item[] - List of user-specified file type groups to transform. If specified, only the files with these filetypes will be transformed. If empty, all supported files will be transformed. Supported types may be automatically added over time. If a file type is set in this field that isn't supported by the Deidentify action then the job will fail and will not be successfully created/started. Currently the only filetypes supported are: IMAGES, TEXT_FILES, CSV, TSV.
- transformation
Config GooglePrivacy Dlp V2Transformation Config - User specified deidentify templates and configs for structured, unstructured, and image files.
- transformation
Details GoogleStorage Config Privacy Dlp V2Transformation Details Storage Config - Config for storing transformation details. This is separate from the de-identified content, and contains metadata about the successful transformations and/or failures that occurred while de-identifying. This needs to be set in order for users to access information about the status of each transformation (see TransformationDetails message for more information about what is noted).
- cloud_
storage_ stroutput - User settable Cloud Storage bucket and folders to store de-identified files. This field must be set for cloud storage deidentification. The output Cloud Storage bucket must be different from the input bucket. De-identified files will overwrite files in the output path. Form of: gs://bucket/folder/ or gs://bucket
- file_
types_ Sequence[Googleto_ transform Privacy Dlp V2Deidentify File Types To Transform Item] - List of user-specified file type groups to transform. If specified, only the files with these filetypes will be transformed. If empty, all supported files will be transformed. Supported types may be automatically added over time. If a file type is set in this field that isn't supported by the Deidentify action then the job will fail and will not be successfully created/started. Currently the only filetypes supported are: IMAGES, TEXT_FILES, CSV, TSV.
- transformation_
config GooglePrivacy Dlp V2Transformation Config - User specified deidentify templates and configs for structured, unstructured, and image files.
- transformation_
details_ Googlestorage_ config Privacy Dlp V2Transformation Details Storage Config - Config for storing transformation details. This is separate from the de-identified content, and contains metadata about the successful transformations and/or failures that occurred while de-identifying. This needs to be set in order for users to access information about the status of each transformation (see TransformationDetails message for more information about what is noted).
- cloud
Storage StringOutput - User settable Cloud Storage bucket and folders to store de-identified files. This field must be set for cloud storage deidentification. The output Cloud Storage bucket must be different from the input bucket. De-identified files will overwrite files in the output path. Form of: gs://bucket/folder/ or gs://bucket
- file
Types List<"FILE_TYPE_UNSPECIFIED" | "BINARY_FILE" | "TEXT_FILE" | "IMAGE" | "WORD" | "PDF" | "AVRO" | "CSV" | "TSV" | "POWERPOINT" | "EXCEL">To Transform - List of user-specified file type groups to transform. If specified, only the files with these filetypes will be transformed. If empty, all supported files will be transformed. Supported types may be automatically added over time. If a file type is set in this field that isn't supported by the Deidentify action then the job will fail and will not be successfully created/started. Currently the only filetypes supported are: IMAGES, TEXT_FILES, CSV, TSV.
- transformation
Config Property Map - User specified deidentify templates and configs for structured, unstructured, and image files.
- transformation
Details Property MapStorage Config - Config for storing transformation details. This is separate from the de-identified content, and contains metadata about the successful transformations and/or failures that occurred while de-identifying. This needs to be set in order for users to access information about the status of each transformation (see TransformationDetails message for more information about what is noted).
GooglePrivacyDlpV2DeidentifyConfigResponse, GooglePrivacyDlpV2DeidentifyConfigResponseArgs
- Image
Transformations Pulumi.Google Native. DLP. V2. Inputs. Google Privacy Dlp V2Image Transformations Response - Treat the dataset as an image and redact.
- Info
Type Pulumi.Transformations Google Native. DLP. V2. Inputs. Google Privacy Dlp V2Info Type Transformations Response - Treat the dataset as free-form text and apply the same free text transformation everywhere.
- Record
Transformations Pulumi.Google Native. DLP. V2. Inputs. Google Privacy Dlp V2Record Transformations Response - Treat the dataset as structured. Transformations can be applied to specific locations within structured datasets, such as transforming a column within a table.
- Transformation
Error Pulumi.Handling Google Native. DLP. V2. Inputs. Google Privacy Dlp V2Transformation Error Handling Response - Mode for handling transformation errors. If left unspecified, the default mode is
TransformationErrorHandling.ThrowError.
- Image
Transformations GooglePrivacy Dlp V2Image Transformations Response - Treat the dataset as an image and redact.
- Info
Type GoogleTransformations Privacy Dlp V2Info Type Transformations Response - Treat the dataset as free-form text and apply the same free text transformation everywhere.
- Record
Transformations GooglePrivacy Dlp V2Record Transformations Response - Treat the dataset as structured. Transformations can be applied to specific locations within structured datasets, such as transforming a column within a table.
- Transformation
Error GoogleHandling Privacy Dlp V2Transformation Error Handling Response - Mode for handling transformation errors. If left unspecified, the default mode is
TransformationErrorHandling.ThrowError.
- image
Transformations GooglePrivacy Dlp V2Image Transformations Response - Treat the dataset as an image and redact.
- info
Type GoogleTransformations Privacy Dlp V2Info Type Transformations Response - Treat the dataset as free-form text and apply the same free text transformation everywhere.
- record
Transformations GooglePrivacy Dlp V2Record Transformations Response - Treat the dataset as structured. Transformations can be applied to specific locations within structured datasets, such as transforming a column within a table.
- transformation
Error GoogleHandling Privacy Dlp V2Transformation Error Handling Response - Mode for handling transformation errors. If left unspecified, the default mode is
TransformationErrorHandling.ThrowError.
- image
Transformations GooglePrivacy Dlp V2Image Transformations Response - Treat the dataset as an image and redact.
- info
Type GoogleTransformations Privacy Dlp V2Info Type Transformations Response - Treat the dataset as free-form text and apply the same free text transformation everywhere.
- record
Transformations GooglePrivacy Dlp V2Record Transformations Response - Treat the dataset as structured. Transformations can be applied to specific locations within structured datasets, such as transforming a column within a table.
- transformation
Error GoogleHandling Privacy Dlp V2Transformation Error Handling Response - Mode for handling transformation errors. If left unspecified, the default mode is
TransformationErrorHandling.ThrowError.
- image_
transformations GooglePrivacy Dlp V2Image Transformations Response - Treat the dataset as an image and redact.
- info_
type_ Googletransformations Privacy Dlp V2Info Type Transformations Response - Treat the dataset as free-form text and apply the same free text transformation everywhere.
- record_
transformations GooglePrivacy Dlp V2Record Transformations Response - Treat the dataset as structured. Transformations can be applied to specific locations within structured datasets, such as transforming a column within a table.
- transformation_
error_ Googlehandling Privacy Dlp V2Transformation Error Handling Response - Mode for handling transformation errors. If left unspecified, the default mode is
TransformationErrorHandling.ThrowError.
- image
Transformations Property Map - Treat the dataset as an image and redact.
- info
Type Property MapTransformations - Treat the dataset as free-form text and apply the same free text transformation everywhere.
- record
Transformations Property Map - Treat the dataset as structured. Transformations can be applied to specific locations within structured datasets, such as transforming a column within a table.
- transformation
Error Property MapHandling - Mode for handling transformation errors. If left unspecified, the default mode is
TransformationErrorHandling.ThrowError.
GooglePrivacyDlpV2DeidentifyDataSourceDetailsResponse, GooglePrivacyDlpV2DeidentifyDataSourceDetailsResponseArgs
- Deidentify
Stats Pulumi.Google Native. DLP. V2. Inputs. Google Privacy Dlp V2Deidentify Data Source Stats Response - Stats about the de-identification operation.
- Requested
Options Pulumi.Google Native. DLP. V2. Inputs. Google Privacy Dlp V2Requested Deidentify Options Response - De-identification config used for the request.
- Deidentify
Stats GooglePrivacy Dlp V2Deidentify Data Source Stats Response - Stats about the de-identification operation.
- Requested
Options GooglePrivacy Dlp V2Requested Deidentify Options Response - De-identification config used for the request.
- deidentify
Stats GooglePrivacy Dlp V2Deidentify Data Source Stats Response - Stats about the de-identification operation.
- requested
Options GooglePrivacy Dlp V2Requested Deidentify Options Response - De-identification config used for the request.
- deidentify
Stats GooglePrivacy Dlp V2Deidentify Data Source Stats Response - Stats about the de-identification operation.
- requested
Options GooglePrivacy Dlp V2Requested Deidentify Options Response - De-identification config used for the request.
- deidentify_
stats GooglePrivacy Dlp V2Deidentify Data Source Stats Response - Stats about the de-identification operation.
- requested_
options GooglePrivacy Dlp V2Requested Deidentify Options Response - De-identification config used for the request.
- deidentify
Stats Property Map - Stats about the de-identification operation.
- requested
Options Property Map - De-identification config used for the request.
GooglePrivacyDlpV2DeidentifyDataSourceStatsResponse, GooglePrivacyDlpV2DeidentifyDataSourceStatsResponseArgs
- Transformation
Count string - Number of successfully applied transformations.
- Transformation
Error stringCount - Number of errors encountered while trying to apply transformations.
- Transformed
Bytes string - Total size in bytes that were transformed in some way.
- Transformation
Count string - Number of successfully applied transformations.
- Transformation
Error stringCount - Number of errors encountered while trying to apply transformations.
- Transformed
Bytes string - Total size in bytes that were transformed in some way.
- transformation
Count String - Number of successfully applied transformations.
- transformation
Error StringCount - Number of errors encountered while trying to apply transformations.
- transformed
Bytes String - Total size in bytes that were transformed in some way.
- transformation
Count string - Number of successfully applied transformations.
- transformation
Error stringCount - Number of errors encountered while trying to apply transformations.
- transformed
Bytes string - Total size in bytes that were transformed in some way.
- transformation_
count str - Number of successfully applied transformations.
- transformation_
error_ strcount - Number of errors encountered while trying to apply transformations.
- transformed_
bytes str - Total size in bytes that were transformed in some way.
- transformation
Count String - Number of successfully applied transformations.
- transformation
Error StringCount - Number of errors encountered while trying to apply transformations.
- transformed
Bytes String - Total size in bytes that were transformed in some way.
GooglePrivacyDlpV2DeidentifyFileTypesToTransformItem, GooglePrivacyDlpV2DeidentifyFileTypesToTransformItemArgs
- File
Type Unspecified - FILE_TYPE_UNSPECIFIEDIncludes all files.
- Binary
File - BINARY_FILEIncludes all file extensions not covered by another entry. Binary scanning attempts to convert the content of the file to utf_8 to scan the file. If you wish to avoid this fall back, specify one or more of the other file types in your storage scan.
- Text
File - TEXT_FILEIncluded file extensions: asc,asp, aspx, brf, c, cc,cfm, cgi, cpp, csv, cxx, c++, cs, css, dart, dat, dot, eml,, epbub, ged, go, h, hh, hpp, hxx, h++, hs, html, htm, mkd, markdown, m, ml, mli, perl, pl, plist, pm, php, phtml, pht, properties, py, pyw, rb, rbw, rs, rss, rc, scala, sh, sql, swift, tex, shtml, shtm, xhtml, lhs, ics, ini, java, js, json, kix, kml, ocaml, md, txt, text, tsv, vb, vcard, vcs, wml, xcodeproj, xml, xsl, xsd, yml, yaml.
- Image
- IMAGEIncluded file extensions: bmp, gif, jpg, jpeg, jpe, png. Setting bytes_limit_per_file or bytes_limit_per_file_percent has no effect on image files. Image inspection is restricted to the
global,us,asia, andeuroperegions. - Word
- WORDMicrosoft Word files larger than 30 MB will be scanned as binary files. Included file extensions: docx, dotx, docm, dotm. Setting
bytes_limit_per_fileorbytes_limit_per_file_percenthas no effect on Word files. - PDFPDF files larger than 30 MB will be scanned as binary files. Included file extensions: pdf. Setting
bytes_limit_per_fileorbytes_limit_per_file_percenthas no effect on PDF files. - Avro
- AVROIncluded file extensions: avro
- Csv
- CSVIncluded file extensions: csv
- Tsv
- TSVIncluded file extensions: tsv
- Powerpoint
- POWERPOINTMicrosoft PowerPoint files larger than 30 MB will be scanned as binary files. Included file extensions: pptx, pptm, potx, potm, pot. Setting
bytes_limit_per_fileorbytes_limit_per_file_percenthas no effect on PowerPoint files. - Excel
- EXCELMicrosoft Excel files larger than 30 MB will be scanned as binary files. Included file extensions: xlsx, xlsm, xltx, xltm. Setting
bytes_limit_per_fileorbytes_limit_per_file_percenthas no effect on Excel files.
- Google
Privacy Dlp V2Deidentify File Types To Transform Item File Type Unspecified - FILE_TYPE_UNSPECIFIEDIncludes all files.
- Google
Privacy Dlp V2Deidentify File Types To Transform Item Binary File - BINARY_FILEIncludes all file extensions not covered by another entry. Binary scanning attempts to convert the content of the file to utf_8 to scan the file. If you wish to avoid this fall back, specify one or more of the other file types in your storage scan.
- Google
Privacy Dlp V2Deidentify File Types To Transform Item Text File - TEXT_FILEIncluded file extensions: asc,asp, aspx, brf, c, cc,cfm, cgi, cpp, csv, cxx, c++, cs, css, dart, dat, dot, eml,, epbub, ged, go, h, hh, hpp, hxx, h++, hs, html, htm, mkd, markdown, m, ml, mli, perl, pl, plist, pm, php, phtml, pht, properties, py, pyw, rb, rbw, rs, rss, rc, scala, sh, sql, swift, tex, shtml, shtm, xhtml, lhs, ics, ini, java, js, json, kix, kml, ocaml, md, txt, text, tsv, vb, vcard, vcs, wml, xcodeproj, xml, xsl, xsd, yml, yaml.
- Google
Privacy Dlp V2Deidentify File Types To Transform Item Image - IMAGEIncluded file extensions: bmp, gif, jpg, jpeg, jpe, png. Setting bytes_limit_per_file or bytes_limit_per_file_percent has no effect on image files. Image inspection is restricted to the
global,us,asia, andeuroperegions. - Google
Privacy Dlp V2Deidentify File Types To Transform Item Word - WORDMicrosoft Word files larger than 30 MB will be scanned as binary files. Included file extensions: docx, dotx, docm, dotm. Setting
bytes_limit_per_fileorbytes_limit_per_file_percenthas no effect on Word files. - Google
Privacy Dlp V2Deidentify File Types To Transform Item Pdf - PDFPDF files larger than 30 MB will be scanned as binary files. Included file extensions: pdf. Setting
bytes_limit_per_fileorbytes_limit_per_file_percenthas no effect on PDF files. - Google
Privacy Dlp V2Deidentify File Types To Transform Item Avro - AVROIncluded file extensions: avro
- Google
Privacy Dlp V2Deidentify File Types To Transform Item Csv - CSVIncluded file extensions: csv
- Google
Privacy Dlp V2Deidentify File Types To Transform Item Tsv - TSVIncluded file extensions: tsv
- Google
Privacy Dlp V2Deidentify File Types To Transform Item Powerpoint - POWERPOINTMicrosoft PowerPoint files larger than 30 MB will be scanned as binary files. Included file extensions: pptx, pptm, potx, potm, pot. Setting
bytes_limit_per_fileorbytes_limit_per_file_percenthas no effect on PowerPoint files. - Google
Privacy Dlp V2Deidentify File Types To Transform Item Excel - EXCELMicrosoft Excel files larger than 30 MB will be scanned as binary files. Included file extensions: xlsx, xlsm, xltx, xltm. Setting
bytes_limit_per_fileorbytes_limit_per_file_percenthas no effect on Excel files.
- File
Type Unspecified - FILE_TYPE_UNSPECIFIEDIncludes all files.
- Binary
File - BINARY_FILEIncludes all file extensions not covered by another entry. Binary scanning attempts to convert the content of the file to utf_8 to scan the file. If you wish to avoid this fall back, specify one or more of the other file types in your storage scan.
- Text
File - TEXT_FILEIncluded file extensions: asc,asp, aspx, brf, c, cc,cfm, cgi, cpp, csv, cxx, c++, cs, css, dart, dat, dot, eml,, epbub, ged, go, h, hh, hpp, hxx, h++, hs, html, htm, mkd, markdown, m, ml, mli, perl, pl, plist, pm, php, phtml, pht, properties, py, pyw, rb, rbw, rs, rss, rc, scala, sh, sql, swift, tex, shtml, shtm, xhtml, lhs, ics, ini, java, js, json, kix, kml, ocaml, md, txt, text, tsv, vb, vcard, vcs, wml, xcodeproj, xml, xsl, xsd, yml, yaml.
- Image
- IMAGEIncluded file extensions: bmp, gif, jpg, jpeg, jpe, png. Setting bytes_limit_per_file or bytes_limit_per_file_percent has no effect on image files. Image inspection is restricted to the
global,us,asia, andeuroperegions. - Word
- WORDMicrosoft Word files larger than 30 MB will be scanned as binary files. Included file extensions: docx, dotx, docm, dotm. Setting
bytes_limit_per_fileorbytes_limit_per_file_percenthas no effect on Word files. - PDFPDF files larger than 30 MB will be scanned as binary files. Included file extensions: pdf. Setting
bytes_limit_per_fileorbytes_limit_per_file_percenthas no effect on PDF files. - Avro
- AVROIncluded file extensions: avro
- Csv
- CSVIncluded file extensions: csv
- Tsv
- TSVIncluded file extensions: tsv
- Powerpoint
- POWERPOINTMicrosoft PowerPoint files larger than 30 MB will be scanned as binary files. Included file extensions: pptx, pptm, potx, potm, pot. Setting
bytes_limit_per_fileorbytes_limit_per_file_percenthas no effect on PowerPoint files. - Excel
- EXCELMicrosoft Excel files larger than 30 MB will be scanned as binary files. Included file extensions: xlsx, xlsm, xltx, xltm. Setting
bytes_limit_per_fileorbytes_limit_per_file_percenthas no effect on Excel files.
- File
Type Unspecified - FILE_TYPE_UNSPECIFIEDIncludes all files.
- Binary
File - BINARY_FILEIncludes all file extensions not covered by another entry. Binary scanning attempts to convert the content of the file to utf_8 to scan the file. If you wish to avoid this fall back, specify one or more of the other file types in your storage scan.
- Text
File - TEXT_FILEIncluded file extensions: asc,asp, aspx, brf, c, cc,cfm, cgi, cpp, csv, cxx, c++, cs, css, dart, dat, dot, eml,, epbub, ged, go, h, hh, hpp, hxx, h++, hs, html, htm, mkd, markdown, m, ml, mli, perl, pl, plist, pm, php, phtml, pht, properties, py, pyw, rb, rbw, rs, rss, rc, scala, sh, sql, swift, tex, shtml, shtm, xhtml, lhs, ics, ini, java, js, json, kix, kml, ocaml, md, txt, text, tsv, vb, vcard, vcs, wml, xcodeproj, xml, xsl, xsd, yml, yaml.
- Image
- IMAGEIncluded file extensions: bmp, gif, jpg, jpeg, jpe, png. Setting bytes_limit_per_file or bytes_limit_per_file_percent has no effect on image files. Image inspection is restricted to the
global,us,asia, andeuroperegions. - Word
- WORDMicrosoft Word files larger than 30 MB will be scanned as binary files. Included file extensions: docx, dotx, docm, dotm. Setting
bytes_limit_per_fileorbytes_limit_per_file_percenthas no effect on Word files. - PDFPDF files larger than 30 MB will be scanned as binary files. Included file extensions: pdf. Setting
bytes_limit_per_fileorbytes_limit_per_file_percenthas no effect on PDF files. - Avro
- AVROIncluded file extensions: avro
- Csv
- CSVIncluded file extensions: csv
- Tsv
- TSVIncluded file extensions: tsv
- Powerpoint
- POWERPOINTMicrosoft PowerPoint files larger than 30 MB will be scanned as binary files. Included file extensions: pptx, pptm, potx, potm, pot. Setting
bytes_limit_per_fileorbytes_limit_per_file_percenthas no effect on PowerPoint files. - Excel
- EXCELMicrosoft Excel files larger than 30 MB will be scanned as binary files. Included file extensions: xlsx, xlsm, xltx, xltm. Setting
bytes_limit_per_fileorbytes_limit_per_file_percenthas no effect on Excel files.
- FILE_TYPE_UNSPECIFIED
- FILE_TYPE_UNSPECIFIEDIncludes all files.
- BINARY_FILE
- BINARY_FILEIncludes all file extensions not covered by another entry. Binary scanning attempts to convert the content of the file to utf_8 to scan the file. If you wish to avoid this fall back, specify one or more of the other file types in your storage scan.
- TEXT_FILE
- TEXT_FILEIncluded file extensions: asc,asp, aspx, brf, c, cc,cfm, cgi, cpp, csv, cxx, c++, cs, css, dart, dat, dot, eml,, epbub, ged, go, h, hh, hpp, hxx, h++, hs, html, htm, mkd, markdown, m, ml, mli, perl, pl, plist, pm, php, phtml, pht, properties, py, pyw, rb, rbw, rs, rss, rc, scala, sh, sql, swift, tex, shtml, shtm, xhtml, lhs, ics, ini, java, js, json, kix, kml, ocaml, md, txt, text, tsv, vb, vcard, vcs, wml, xcodeproj, xml, xsl, xsd, yml, yaml.
- IMAGE
- IMAGEIncluded file extensions: bmp, gif, jpg, jpeg, jpe, png. Setting bytes_limit_per_file or bytes_limit_per_file_percent has no effect on image files. Image inspection is restricted to the
global,us,asia, andeuroperegions. - WORD
- WORDMicrosoft Word files larger than 30 MB will be scanned as binary files. Included file extensions: docx, dotx, docm, dotm. Setting
bytes_limit_per_fileorbytes_limit_per_file_percenthas no effect on Word files. - PDFPDF files larger than 30 MB will be scanned as binary files. Included file extensions: pdf. Setting
bytes_limit_per_fileorbytes_limit_per_file_percenthas no effect on PDF files. - AVRO
- AVROIncluded file extensions: avro
- CSV
- CSVIncluded file extensions: csv
- TSV
- TSVIncluded file extensions: tsv
- POWERPOINT
- POWERPOINTMicrosoft PowerPoint files larger than 30 MB will be scanned as binary files. Included file extensions: pptx, pptm, potx, potm, pot. Setting
bytes_limit_per_fileorbytes_limit_per_file_percenthas no effect on PowerPoint files. - EXCEL
- EXCELMicrosoft Excel files larger than 30 MB will be scanned as binary files. Included file extensions: xlsx, xlsm, xltx, xltm. Setting
bytes_limit_per_fileorbytes_limit_per_file_percenthas no effect on Excel files.
- "FILE_TYPE_UNSPECIFIED"
- FILE_TYPE_UNSPECIFIEDIncludes all files.
- "BINARY_FILE"
- BINARY_FILEIncludes all file extensions not covered by another entry. Binary scanning attempts to convert the content of the file to utf_8 to scan the file. If you wish to avoid this fall back, specify one or more of the other file types in your storage scan.
- "TEXT_FILE"
- TEXT_FILEIncluded file extensions: asc,asp, aspx, brf, c, cc,cfm, cgi, cpp, csv, cxx, c++, cs, css, dart, dat, dot, eml,, epbub, ged, go, h, hh, hpp, hxx, h++, hs, html, htm, mkd, markdown, m, ml, mli, perl, pl, plist, pm, php, phtml, pht, properties, py, pyw, rb, rbw, rs, rss, rc, scala, sh, sql, swift, tex, shtml, shtm, xhtml, lhs, ics, ini, java, js, json, kix, kml, ocaml, md, txt, text, tsv, vb, vcard, vcs, wml, xcodeproj, xml, xsl, xsd, yml, yaml.
- "IMAGE"
- IMAGEIncluded file extensions: bmp, gif, jpg, jpeg, jpe, png. Setting bytes_limit_per_file or bytes_limit_per_file_percent has no effect on image files. Image inspection is restricted to the
global,us,asia, andeuroperegions. - "WORD"
- WORDMicrosoft Word files larger than 30 MB will be scanned as binary files. Included file extensions: docx, dotx, docm, dotm. Setting
bytes_limit_per_fileorbytes_limit_per_file_percenthas no effect on Word files. - "PDF"
- PDFPDF files larger than 30 MB will be scanned as binary files. Included file extensions: pdf. Setting
bytes_limit_per_fileorbytes_limit_per_file_percenthas no effect on PDF files. - "AVRO"
- AVROIncluded file extensions: avro
- "CSV"
- CSVIncluded file extensions: csv
- "TSV"
- TSVIncluded file extensions: tsv
- "POWERPOINT"
- POWERPOINTMicrosoft PowerPoint files larger than 30 MB will be scanned as binary files. Included file extensions: pptx, pptm, potx, potm, pot. Setting
bytes_limit_per_fileorbytes_limit_per_file_percenthas no effect on PowerPoint files. - "EXCEL"
- EXCELMicrosoft Excel files larger than 30 MB will be scanned as binary files. Included file extensions: xlsx, xlsm, xltx, xltm. Setting
bytes_limit_per_fileorbytes_limit_per_file_percenthas no effect on Excel files.
GooglePrivacyDlpV2DeidentifyResponse, GooglePrivacyDlpV2DeidentifyResponseArgs
- Cloud
Storage stringOutput - User settable Cloud Storage bucket and folders to store de-identified files. This field must be set for cloud storage deidentification. The output Cloud Storage bucket must be different from the input bucket. De-identified files will overwrite files in the output path. Form of: gs://bucket/folder/ or gs://bucket
- File
Types List<string>To Transform - List of user-specified file type groups to transform. If specified, only the files with these filetypes will be transformed. If empty, all supported files will be transformed. Supported types may be automatically added over time. If a file type is set in this field that isn't supported by the Deidentify action then the job will fail and will not be successfully created/started. Currently the only filetypes supported are: IMAGES, TEXT_FILES, CSV, TSV.
- Transformation
Config Pulumi.Google Native. DLP. V2. Inputs. Google Privacy Dlp V2Transformation Config Response - User specified deidentify templates and configs for structured, unstructured, and image files.
- Transformation
Details Pulumi.Storage Config Google Native. DLP. V2. Inputs. Google Privacy Dlp V2Transformation Details Storage Config Response - Config for storing transformation details. This is separate from the de-identified content, and contains metadata about the successful transformations and/or failures that occurred while de-identifying. This needs to be set in order for users to access information about the status of each transformation (see TransformationDetails message for more information about what is noted).
- Cloud
Storage stringOutput - User settable Cloud Storage bucket and folders to store de-identified files. This field must be set for cloud storage deidentification. The output Cloud Storage bucket must be different from the input bucket. De-identified files will overwrite files in the output path. Form of: gs://bucket/folder/ or gs://bucket
- File
Types []stringTo Transform - List of user-specified file type groups to transform. If specified, only the files with these filetypes will be transformed. If empty, all supported files will be transformed. Supported types may be automatically added over time. If a file type is set in this field that isn't supported by the Deidentify action then the job will fail and will not be successfully created/started. Currently the only filetypes supported are: IMAGES, TEXT_FILES, CSV, TSV.
- Transformation
Config GooglePrivacy Dlp V2Transformation Config Response - User specified deidentify templates and configs for structured, unstructured, and image files.
- Transformation
Details GoogleStorage Config Privacy Dlp V2Transformation Details Storage Config Response - Config for storing transformation details. This is separate from the de-identified content, and contains metadata about the successful transformations and/or failures that occurred while de-identifying. This needs to be set in order for users to access information about the status of each transformation (see TransformationDetails message for more information about what is noted).
- cloud
Storage StringOutput - User settable Cloud Storage bucket and folders to store de-identified files. This field must be set for cloud storage deidentification. The output Cloud Storage bucket must be different from the input bucket. De-identified files will overwrite files in the output path. Form of: gs://bucket/folder/ or gs://bucket
- file
Types List<String>To Transform - List of user-specified file type groups to transform. If specified, only the files with these filetypes will be transformed. If empty, all supported files will be transformed. Supported types may be automatically added over time. If a file type is set in this field that isn't supported by the Deidentify action then the job will fail and will not be successfully created/started. Currently the only filetypes supported are: IMAGES, TEXT_FILES, CSV, TSV.
- transformation
Config GooglePrivacy Dlp V2Transformation Config Response - User specified deidentify templates and configs for structured, unstructured, and image files.
- transformation
Details GoogleStorage Config Privacy Dlp V2Transformation Details Storage Config Response - Config for storing transformation details. This is separate from the de-identified content, and contains metadata about the successful transformations and/or failures that occurred while de-identifying. This needs to be set in order for users to access information about the status of each transformation (see TransformationDetails message for more information about what is noted).
- cloud
Storage stringOutput - User settable Cloud Storage bucket and folders to store de-identified files. This field must be set for cloud storage deidentification. The output Cloud Storage bucket must be different from the input bucket. De-identified files will overwrite files in the output path. Form of: gs://bucket/folder/ or gs://bucket
- file
Types string[]To Transform - List of user-specified file type groups to transform. If specified, only the files with these filetypes will be transformed. If empty, all supported files will be transformed. Supported types may be automatically added over time. If a file type is set in this field that isn't supported by the Deidentify action then the job will fail and will not be successfully created/started. Currently the only filetypes supported are: IMAGES, TEXT_FILES, CSV, TSV.
- transformation
Config GooglePrivacy Dlp V2Transformation Config Response - User specified deidentify templates and configs for structured, unstructured, and image files.
- transformation
Details GoogleStorage Config Privacy Dlp V2Transformation Details Storage Config Response - Config for storing transformation details. This is separate from the de-identified content, and contains metadata about the successful transformations and/or failures that occurred while de-identifying. This needs to be set in order for users to access information about the status of each transformation (see TransformationDetails message for more information about what is noted).
- cloud_
storage_ stroutput - User settable Cloud Storage bucket and folders to store de-identified files. This field must be set for cloud storage deidentification. The output Cloud Storage bucket must be different from the input bucket. De-identified files will overwrite files in the output path. Form of: gs://bucket/folder/ or gs://bucket
- file_
types_ Sequence[str]to_ transform - List of user-specified file type groups to transform. If specified, only the files with these filetypes will be transformed. If empty, all supported files will be transformed. Supported types may be automatically added over time. If a file type is set in this field that isn't supported by the Deidentify action then the job will fail and will not be successfully created/started. Currently the only filetypes supported are: IMAGES, TEXT_FILES, CSV, TSV.
- transformation_
config GooglePrivacy Dlp V2Transformation Config Response - User specified deidentify templates and configs for structured, unstructured, and image files.
- transformation_
details_ Googlestorage_ config Privacy Dlp V2Transformation Details Storage Config Response - Config for storing transformation details. This is separate from the de-identified content, and contains metadata about the successful transformations and/or failures that occurred while de-identifying. This needs to be set in order for users to access information about the status of each transformation (see TransformationDetails message for more information about what is noted).
- cloud
Storage StringOutput - User settable Cloud Storage bucket and folders to store de-identified files. This field must be set for cloud storage deidentification. The output Cloud Storage bucket must be different from the input bucket. De-identified files will overwrite files in the output path. Form of: gs://bucket/folder/ or gs://bucket
- file
Types List<String>To Transform - List of user-specified file type groups to transform. If specified, only the files with these filetypes will be transformed. If empty, all supported files will be transformed. Supported types may be automatically added over time. If a file type is set in this field that isn't supported by the Deidentify action then the job will fail and will not be successfully created/started. Currently the only filetypes supported are: IMAGES, TEXT_FILES, CSV, TSV.
- transformation
Config Property Map - User specified deidentify templates and configs for structured, unstructured, and image files.
- transformation
Details Property MapStorage Config - Config for storing transformation details. This is separate from the de-identified content, and contains metadata about the successful transformations and/or failures that occurred while de-identifying. This needs to be set in order for users to access information about the status of each transformation (see TransformationDetails message for more information about what is noted).
GooglePrivacyDlpV2DeidentifyTemplateResponse, GooglePrivacyDlpV2DeidentifyTemplateResponseArgs
- Create
Time string - The creation timestamp of an inspectTemplate.
- Deidentify
Config Pulumi.Google Native. DLP. V2. Inputs. Google Privacy Dlp V2Deidentify Config Response - The core content of the template.
- Description string
- Short description (max 256 chars).
- Display
Name string - Display name (max 256 chars).
- Name string
- The template name. The template will have one of the following formats:
projects/PROJECT_ID/deidentifyTemplates/TEMPLATE_IDORorganizations/ORGANIZATION_ID/deidentifyTemplates/TEMPLATE_ID - Update
Time string - The last update timestamp of an inspectTemplate.
- Create
Time string - The creation timestamp of an inspectTemplate.
- Deidentify
Config GooglePrivacy Dlp V2Deidentify Config Response - The core content of the template.
- Description string
- Short description (max 256 chars).
- Display
Name string - Display name (max 256 chars).
- Name string
- The template name. The template will have one of the following formats:
projects/PROJECT_ID/deidentifyTemplates/TEMPLATE_IDORorganizations/ORGANIZATION_ID/deidentifyTemplates/TEMPLATE_ID - Update
Time string - The last update timestamp of an inspectTemplate.
- create
Time String - The creation timestamp of an inspectTemplate.
- deidentify
Config GooglePrivacy Dlp V2Deidentify Config Response - The core content of the template.
- description String
- Short description (max 256 chars).
- display
Name String - Display name (max 256 chars).
- name String
- The template name. The template will have one of the following formats:
projects/PROJECT_ID/deidentifyTemplates/TEMPLATE_IDORorganizations/ORGANIZATION_ID/deidentifyTemplates/TEMPLATE_ID - update
Time String - The last update timestamp of an inspectTemplate.
- create
Time string - The creation timestamp of an inspectTemplate.
- deidentify
Config GooglePrivacy Dlp V2Deidentify Config Response - The core content of the template.
- description string
- Short description (max 256 chars).
- display
Name string - Display name (max 256 chars).
- name string
- The template name. The template will have one of the following formats:
projects/PROJECT_ID/deidentifyTemplates/TEMPLATE_IDORorganizations/ORGANIZATION_ID/deidentifyTemplates/TEMPLATE_ID - update
Time string - The last update timestamp of an inspectTemplate.
- create_
time str - The creation timestamp of an inspectTemplate.
- deidentify_
config GooglePrivacy Dlp V2Deidentify Config Response - The core content of the template.
- description str
- Short description (max 256 chars).
- display_
name str - Display name (max 256 chars).
- name str
- The template name. The template will have one of the following formats:
projects/PROJECT_ID/deidentifyTemplates/TEMPLATE_IDORorganizations/ORGANIZATION_ID/deidentifyTemplates/TEMPLATE_ID - update_
time str - The last update timestamp of an inspectTemplate.
- create
Time String - The creation timestamp of an inspectTemplate.
- deidentify
Config Property Map - The core content of the template.
- description String
- Short description (max 256 chars).
- display
Name String - Display name (max 256 chars).
- name String
- The template name. The template will have one of the following formats:
projects/PROJECT_ID/deidentifyTemplates/TEMPLATE_IDORorganizations/ORGANIZATION_ID/deidentifyTemplates/TEMPLATE_ID - update
Time String - The last update timestamp of an inspectTemplate.
GooglePrivacyDlpV2DeltaPresenceEstimationConfig, GooglePrivacyDlpV2DeltaPresenceEstimationConfigArgs
- Quasi
Ids List<Pulumi.Google Native. DLP. V2. Inputs. Google Privacy Dlp V2Quasi Id> - Fields considered to be quasi-identifiers. No two fields can have the same tag.
- Auxiliary
Tables List<Pulumi.Google Native. DLP. V2. Inputs. Google Privacy Dlp V2Statistical Table> - Several auxiliary tables can be used in the analysis. Each custom_tag used to tag a quasi-identifiers field must appear in exactly one field of one auxiliary table.
- Region
Code string - ISO 3166-1 alpha-2 region code to use in the statistical modeling. Set if no column is tagged with a region-specific InfoType (like US_ZIP_5) or a region code.
- Quasi
Ids []GooglePrivacy Dlp V2Quasi Id - Fields considered to be quasi-identifiers. No two fields can have the same tag.
- Auxiliary
Tables []GooglePrivacy Dlp V2Statistical Table - Several auxiliary tables can be used in the analysis. Each custom_tag used to tag a quasi-identifiers field must appear in exactly one field of one auxiliary table.
- Region
Code string - ISO 3166-1 alpha-2 region code to use in the statistical modeling. Set if no column is tagged with a region-specific InfoType (like US_ZIP_5) or a region code.
- quasi
Ids List<GooglePrivacy Dlp V2Quasi Id> - Fields considered to be quasi-identifiers. No two fields can have the same tag.
- auxiliary
Tables List<GooglePrivacy Dlp V2Statistical Table> - Several auxiliary tables can be used in the analysis. Each custom_tag used to tag a quasi-identifiers field must appear in exactly one field of one auxiliary table.
- region
Code String - ISO 3166-1 alpha-2 region code to use in the statistical modeling. Set if no column is tagged with a region-specific InfoType (like US_ZIP_5) or a region code.
- quasi
Ids GooglePrivacy Dlp V2Quasi Id[] - Fields considered to be quasi-identifiers. No two fields can have the same tag.
- auxiliary
Tables GooglePrivacy Dlp V2Statistical Table[] - Several auxiliary tables can be used in the analysis. Each custom_tag used to tag a quasi-identifiers field must appear in exactly one field of one auxiliary table.
- region
Code string - ISO 3166-1 alpha-2 region code to use in the statistical modeling. Set if no column is tagged with a region-specific InfoType (like US_ZIP_5) or a region code.
- quasi_
ids Sequence[GooglePrivacy Dlp V2Quasi Id] - Fields considered to be quasi-identifiers. No two fields can have the same tag.
- auxiliary_
tables Sequence[GooglePrivacy Dlp V2Statistical Table] - Several auxiliary tables can be used in the analysis. Each custom_tag used to tag a quasi-identifiers field must appear in exactly one field of one auxiliary table.
- region_
code str - ISO 3166-1 alpha-2 region code to use in the statistical modeling. Set if no column is tagged with a region-specific InfoType (like US_ZIP_5) or a region code.
- quasi
Ids List<Property Map> - Fields considered to be quasi-identifiers. No two fields can have the same tag.
- auxiliary
Tables List<Property Map> - Several auxiliary tables can be used in the analysis. Each custom_tag used to tag a quasi-identifiers field must appear in exactly one field of one auxiliary table.
- region
Code String - ISO 3166-1 alpha-2 region code to use in the statistical modeling. Set if no column is tagged with a region-specific InfoType (like US_ZIP_5) or a region code.
GooglePrivacyDlpV2DeltaPresenceEstimationConfigResponse, GooglePrivacyDlpV2DeltaPresenceEstimationConfigResponseArgs
- Auxiliary
Tables List<Pulumi.Google Native. DLP. V2. Inputs. Google Privacy Dlp V2Statistical Table Response> - Several auxiliary tables can be used in the analysis. Each custom_tag used to tag a quasi-identifiers field must appear in exactly one field of one auxiliary table.
- Quasi
Ids List<Pulumi.Google Native. DLP. V2. Inputs. Google Privacy Dlp V2Quasi Id Response> - Fields considered to be quasi-identifiers. No two fields can have the same tag.
- Region
Code string - ISO 3166-1 alpha-2 region code to use in the statistical modeling. Set if no column is tagged with a region-specific InfoType (like US_ZIP_5) or a region code.
- Auxiliary
Tables []GooglePrivacy Dlp V2Statistical Table Response - Several auxiliary tables can be used in the analysis. Each custom_tag used to tag a quasi-identifiers field must appear in exactly one field of one auxiliary table.
- Quasi
Ids []GooglePrivacy Dlp V2Quasi Id Response - Fields considered to be quasi-identifiers. No two fields can have the same tag.
- Region
Code string - ISO 3166-1 alpha-2 region code to use in the statistical modeling. Set if no column is tagged with a region-specific InfoType (like US_ZIP_5) or a region code.
- auxiliary
Tables List<GooglePrivacy Dlp V2Statistical Table Response> - Several auxiliary tables can be used in the analysis. Each custom_tag used to tag a quasi-identifiers field must appear in exactly one field of one auxiliary table.
- quasi
Ids List<GooglePrivacy Dlp V2Quasi Id Response> - Fields considered to be quasi-identifiers. No two fields can have the same tag.
- region
Code String - ISO 3166-1 alpha-2 region code to use in the statistical modeling. Set if no column is tagged with a region-specific InfoType (like US_ZIP_5) or a region code.
- auxiliary
Tables GooglePrivacy Dlp V2Statistical Table Response[] - Several auxiliary tables can be used in the analysis. Each custom_tag used to tag a quasi-identifiers field must appear in exactly one field of one auxiliary table.
- quasi
Ids GooglePrivacy Dlp V2Quasi Id Response[] - Fields considered to be quasi-identifiers. No two fields can have the same tag.
- region
Code string - ISO 3166-1 alpha-2 region code to use in the statistical modeling. Set if no column is tagged with a region-specific InfoType (like US_ZIP_5) or a region code.
- auxiliary_
tables Sequence[GooglePrivacy Dlp V2Statistical Table Response] - Several auxiliary tables can be used in the analysis. Each custom_tag used to tag a quasi-identifiers field must appear in exactly one field of one auxiliary table.
- quasi_
ids Sequence[GooglePrivacy Dlp V2Quasi Id Response] - Fields considered to be quasi-identifiers. No two fields can have the same tag.
- region_
code str - ISO 3166-1 alpha-2 region code to use in the statistical modeling. Set if no column is tagged with a region-specific InfoType (like US_ZIP_5) or a region code.
- auxiliary
Tables List<Property Map> - Several auxiliary tables can be used in the analysis. Each custom_tag used to tag a quasi-identifiers field must appear in exactly one field of one auxiliary table.
- quasi
Ids List<Property Map> - Fields considered to be quasi-identifiers. No two fields can have the same tag.
- region
Code String - ISO 3166-1 alpha-2 region code to use in the statistical modeling. Set if no column is tagged with a region-specific InfoType (like US_ZIP_5) or a region code.
GooglePrivacyDlpV2DeltaPresenceEstimationHistogramBucketResponse, GooglePrivacyDlpV2DeltaPresenceEstimationHistogramBucketResponseArgs
- Bucket
Size string - Number of records within these probability bounds.
- Bucket
Value stringCount - Total number of distinct quasi-identifier tuple values in this bucket.
- Bucket
Values List<Pulumi.Google Native. DLP. V2. Inputs. Google Privacy Dlp V2Delta Presence Estimation Quasi Id Values Response> - Sample of quasi-identifier tuple values in this bucket. The total number of classes returned per bucket is capped at 20.
- Max
Probability double - Always greater than or equal to min_probability.
- Min
Probability double - Between 0 and 1.
- Bucket
Size string - Number of records within these probability bounds.
- Bucket
Value stringCount - Total number of distinct quasi-identifier tuple values in this bucket.
- Bucket
Values []GooglePrivacy Dlp V2Delta Presence Estimation Quasi Id Values Response - Sample of quasi-identifier tuple values in this bucket. The total number of classes returned per bucket is capped at 20.
- Max
Probability float64 - Always greater than or equal to min_probability.
- Min
Probability float64 - Between 0 and 1.
- bucket
Size String - Number of records within these probability bounds.
- bucket
Value StringCount - Total number of distinct quasi-identifier tuple values in this bucket.
- bucket
Values List<GooglePrivacy Dlp V2Delta Presence Estimation Quasi Id Values Response> - Sample of quasi-identifier tuple values in this bucket. The total number of classes returned per bucket is capped at 20.
- max
Probability Double - Always greater than or equal to min_probability.
- min
Probability Double - Between 0 and 1.
- bucket
Size string - Number of records within these probability bounds.
- bucket
Value stringCount - Total number of distinct quasi-identifier tuple values in this bucket.
- bucket
Values GooglePrivacy Dlp V2Delta Presence Estimation Quasi Id Values Response[] - Sample of quasi-identifier tuple values in this bucket. The total number of classes returned per bucket is capped at 20.
- max
Probability number - Always greater than or equal to min_probability.
- min
Probability number - Between 0 and 1.
- bucket_
size str - Number of records within these probability bounds.
- bucket_
value_ strcount - Total number of distinct quasi-identifier tuple values in this bucket.
- bucket_
values Sequence[GooglePrivacy Dlp V2Delta Presence Estimation Quasi Id Values Response] - Sample of quasi-identifier tuple values in this bucket. The total number of classes returned per bucket is capped at 20.
- max_
probability float - Always greater than or equal to min_probability.
- min_
probability float - Between 0 and 1.
- bucket
Size String - Number of records within these probability bounds.
- bucket
Value StringCount - Total number of distinct quasi-identifier tuple values in this bucket.
- bucket
Values List<Property Map> - Sample of quasi-identifier tuple values in this bucket. The total number of classes returned per bucket is capped at 20.
- max
Probability Number - Always greater than or equal to min_probability.
- min
Probability Number - Between 0 and 1.
GooglePrivacyDlpV2DeltaPresenceEstimationQuasiIdValuesResponse, GooglePrivacyDlpV2DeltaPresenceEstimationQuasiIdValuesResponseArgs
- Estimated
Probability double - The estimated probability that a given individual sharing these quasi-identifier values is in the dataset. This value, typically called δ, is the ratio between the number of records in the dataset with these quasi-identifier values, and the total number of individuals (inside and outside the dataset) with these quasi-identifier values. For example, if there are 15 individuals in the dataset who share the same quasi-identifier values, and an estimated 100 people in the entire population with these values, then δ is 0.15.
- Quasi
Ids List<Pulumi.Values Google Native. DLP. V2. Inputs. Google Privacy Dlp V2Value Response> - The quasi-identifier values.
- Estimated
Probability float64 - The estimated probability that a given individual sharing these quasi-identifier values is in the dataset. This value, typically called δ, is the ratio between the number of records in the dataset with these quasi-identifier values, and the total number of individuals (inside and outside the dataset) with these quasi-identifier values. For example, if there are 15 individuals in the dataset who share the same quasi-identifier values, and an estimated 100 people in the entire population with these values, then δ is 0.15.
- Quasi
Ids []GoogleValues Privacy Dlp V2Value Response - The quasi-identifier values.
- estimated
Probability Double - The estimated probability that a given individual sharing these quasi-identifier values is in the dataset. This value, typically called δ, is the ratio between the number of records in the dataset with these quasi-identifier values, and the total number of individuals (inside and outside the dataset) with these quasi-identifier values. For example, if there are 15 individuals in the dataset who share the same quasi-identifier values, and an estimated 100 people in the entire population with these values, then δ is 0.15.
- quasi
Ids List<GoogleValues Privacy Dlp V2Value Response> - The quasi-identifier values.
- estimated
Probability number - The estimated probability that a given individual sharing these quasi-identifier values is in the dataset. This value, typically called δ, is the ratio between the number of records in the dataset with these quasi-identifier values, and the total number of individuals (inside and outside the dataset) with these quasi-identifier values. For example, if there are 15 individuals in the dataset who share the same quasi-identifier values, and an estimated 100 people in the entire population with these values, then δ is 0.15.
- quasi
Ids GoogleValues Privacy Dlp V2Value Response[] - The quasi-identifier values.
- estimated_
probability float - The estimated probability that a given individual sharing these quasi-identifier values is in the dataset. This value, typically called δ, is the ratio between the number of records in the dataset with these quasi-identifier values, and the total number of individuals (inside and outside the dataset) with these quasi-identifier values. For example, if there are 15 individuals in the dataset who share the same quasi-identifier values, and an estimated 100 people in the entire population with these values, then δ is 0.15.
- quasi_
ids_ Sequence[Googlevalues Privacy Dlp V2Value Response] - The quasi-identifier values.
- estimated
Probability Number - The estimated probability that a given individual sharing these quasi-identifier values is in the dataset. This value, typically called δ, is the ratio between the number of records in the dataset with these quasi-identifier values, and the total number of individuals (inside and outside the dataset) with these quasi-identifier values. For example, if there are 15 individuals in the dataset who share the same quasi-identifier values, and an estimated 100 people in the entire population with these values, then δ is 0.15.
- quasi
Ids List<Property Map>Values - The quasi-identifier values.
GooglePrivacyDlpV2DeltaPresenceEstimationResultResponse, GooglePrivacyDlpV2DeltaPresenceEstimationResultResponseArgs
- Delta
Presence List<Pulumi.Estimation Histogram Google Native. DLP. V2. Inputs. Google Privacy Dlp V2Delta Presence Estimation Histogram Bucket Response> - The intervals [min_probability, max_probability) do not overlap. If a value doesn't correspond to any such interval, the associated frequency is zero. For example, the following records: {min_probability: 0, max_probability: 0.1, frequency: 17} {min_probability: 0.2, max_probability: 0.3, frequency: 42} {min_probability: 0.3, max_probability: 0.4, frequency: 99} mean that there are no record with an estimated probability in [0.1, 0.2) nor larger or equal to 0.4.
- Delta
Presence []GoogleEstimation Histogram Privacy Dlp V2Delta Presence Estimation Histogram Bucket Response - The intervals [min_probability, max_probability) do not overlap. If a value doesn't correspond to any such interval, the associated frequency is zero. For example, the following records: {min_probability: 0, max_probability: 0.1, frequency: 17} {min_probability: 0.2, max_probability: 0.3, frequency: 42} {min_probability: 0.3, max_probability: 0.4, frequency: 99} mean that there are no record with an estimated probability in [0.1, 0.2) nor larger or equal to 0.4.
- delta
Presence List<GoogleEstimation Histogram Privacy Dlp V2Delta Presence Estimation Histogram Bucket Response> - The intervals [min_probability, max_probability) do not overlap. If a value doesn't correspond to any such interval, the associated frequency is zero. For example, the following records: {min_probability: 0, max_probability: 0.1, frequency: 17} {min_probability: 0.2, max_probability: 0.3, frequency: 42} {min_probability: 0.3, max_probability: 0.4, frequency: 99} mean that there are no record with an estimated probability in [0.1, 0.2) nor larger or equal to 0.4.
- delta
Presence GoogleEstimation Histogram Privacy Dlp V2Delta Presence Estimation Histogram Bucket Response[] - The intervals [min_probability, max_probability) do not overlap. If a value doesn't correspond to any such interval, the associated frequency is zero. For example, the following records: {min_probability: 0, max_probability: 0.1, frequency: 17} {min_probability: 0.2, max_probability: 0.3, frequency: 42} {min_probability: 0.3, max_probability: 0.4, frequency: 99} mean that there are no record with an estimated probability in [0.1, 0.2) nor larger or equal to 0.4.
- delta_
presence_ Sequence[Googleestimation_ histogram Privacy Dlp V2Delta Presence Estimation Histogram Bucket Response] - The intervals [min_probability, max_probability) do not overlap. If a value doesn't correspond to any such interval, the associated frequency is zero. For example, the following records: {min_probability: 0, max_probability: 0.1, frequency: 17} {min_probability: 0.2, max_probability: 0.3, frequency: 42} {min_probability: 0.3, max_probability: 0.4, frequency: 99} mean that there are no record with an estimated probability in [0.1, 0.2) nor larger or equal to 0.4.
- delta
Presence List<Property Map>Estimation Histogram - The intervals [min_probability, max_probability) do not overlap. If a value doesn't correspond to any such interval, the associated frequency is zero. For example, the following records: {min_probability: 0, max_probability: 0.1, frequency: 17} {min_probability: 0.2, max_probability: 0.3, frequency: 42} {min_probability: 0.3, max_probability: 0.4, frequency: 99} mean that there are no record with an estimated probability in [0.1, 0.2) nor larger or equal to 0.4.
GooglePrivacyDlpV2DetectionRule, GooglePrivacyDlpV2DetectionRuleArgs
- Hotword
Rule Pulumi.Google Native. DLP. V2. Inputs. Google Privacy Dlp V2Hotword Rule - Hotword-based detection rule.
- Hotword
Rule GooglePrivacy Dlp V2Hotword Rule - Hotword-based detection rule.
- hotword
Rule GooglePrivacy Dlp V2Hotword Rule - Hotword-based detection rule.
- hotword
Rule GooglePrivacy Dlp V2Hotword Rule - Hotword-based detection rule.
- hotword_
rule GooglePrivacy Dlp V2Hotword Rule - Hotword-based detection rule.
- hotword
Rule Property Map - Hotword-based detection rule.
GooglePrivacyDlpV2DetectionRuleResponse, GooglePrivacyDlpV2DetectionRuleResponseArgs
- Hotword
Rule Pulumi.Google Native. DLP. V2. Inputs. Google Privacy Dlp V2Hotword Rule Response - Hotword-based detection rule.
- Hotword
Rule GooglePrivacy Dlp V2Hotword Rule Response - Hotword-based detection rule.
- hotword
Rule GooglePrivacy Dlp V2Hotword Rule Response - Hotword-based detection rule.
- hotword
Rule GooglePrivacy Dlp V2Hotword Rule Response - Hotword-based detection rule.
- hotword_
rule GooglePrivacy Dlp V2Hotword Rule Response - Hotword-based detection rule.
- hotword
Rule Property Map - Hotword-based detection rule.
GooglePrivacyDlpV2Dictionary, GooglePrivacyDlpV2DictionaryArgs
- Cloud
Storage Pulumi.Path Google Native. DLP. V2. Inputs. Google Privacy Dlp V2Cloud Storage Path - Newline-delimited file of words in Cloud Storage. Only a single file is accepted.
- Word
List Pulumi.Google Native. DLP. V2. Inputs. Google Privacy Dlp V2Word List - List of words or phrases to search for.
- Cloud
Storage GooglePath Privacy Dlp V2Cloud Storage Path - Newline-delimited file of words in Cloud Storage. Only a single file is accepted.
- Word
List GooglePrivacy Dlp V2Word List - List of words or phrases to search for.
- cloud
Storage GooglePath Privacy Dlp V2Cloud Storage Path - Newline-delimited file of words in Cloud Storage. Only a single file is accepted.
- word
List GooglePrivacy Dlp V2Word List - List of words or phrases to search for.
- cloud
Storage GooglePath Privacy Dlp V2Cloud Storage Path - Newline-delimited file of words in Cloud Storage. Only a single file is accepted.
- word
List GooglePrivacy Dlp V2Word List - List of words or phrases to search for.
- cloud_
storage_ Googlepath Privacy Dlp V2Cloud Storage Path - Newline-delimited file of words in Cloud Storage. Only a single file is accepted.
- word_
list GooglePrivacy Dlp V2Word List - List of words or phrases to search for.
- cloud
Storage Property MapPath - Newline-delimited file of words in Cloud Storage. Only a single file is accepted.
- word
List Property Map - List of words or phrases to search for.
GooglePrivacyDlpV2DictionaryResponse, GooglePrivacyDlpV2DictionaryResponseArgs
- Cloud
Storage Pulumi.Path Google Native. DLP. V2. Inputs. Google Privacy Dlp V2Cloud Storage Path Response - Newline-delimited file of words in Cloud Storage. Only a single file is accepted.
- Word
List Pulumi.Google Native. DLP. V2. Inputs. Google Privacy Dlp V2Word List Response - List of words or phrases to search for.
- Cloud
Storage GooglePath Privacy Dlp V2Cloud Storage Path Response - Newline-delimited file of words in Cloud Storage. Only a single file is accepted.
- Word
List GooglePrivacy Dlp V2Word List Response - List of words or phrases to search for.
- cloud
Storage GooglePath Privacy Dlp V2Cloud Storage Path Response - Newline-delimited file of words in Cloud Storage. Only a single file is accepted.
- word
List GooglePrivacy Dlp V2Word List Response - List of words or phrases to search for.
- cloud
Storage GooglePath Privacy Dlp V2Cloud Storage Path Response - Newline-delimited file of words in Cloud Storage. Only a single file is accepted.
- word
List GooglePrivacy Dlp V2Word List Response - List of words or phrases to search for.
- cloud_
storage_ Googlepath Privacy Dlp V2Cloud Storage Path Response - Newline-delimited file of words in Cloud Storage. Only a single file is accepted.
- word_
list GooglePrivacy Dlp V2Word List Response - List of words or phrases to search for.
- cloud
Storage Property MapPath - Newline-delimited file of words in Cloud Storage. Only a single file is accepted.
- word
List Property Map - List of words or phrases to search for.
GooglePrivacyDlpV2EntityId, GooglePrivacyDlpV2EntityIdArgs
- Field
Pulumi.
Google Native. DLP. V2. Inputs. Google Privacy Dlp V2Field Id - Composite key indicating which field contains the entity identifier.
- Field
Google
Privacy Dlp V2Field Id - Composite key indicating which field contains the entity identifier.
- field
Google
Privacy Dlp V2Field Id - Composite key indicating which field contains the entity identifier.
- field
Google
Privacy Dlp V2Field Id - Composite key indicating which field contains the entity identifier.
- field
Google
Privacy Dlp V2Field Id - Composite key indicating which field contains the entity identifier.
- field Property Map
- Composite key indicating which field contains the entity identifier.
GooglePrivacyDlpV2EntityIdResponse, GooglePrivacyDlpV2EntityIdResponseArgs
- Field
Pulumi.
Google Native. DLP. V2. Inputs. Google Privacy Dlp V2Field Id Response - Composite key indicating which field contains the entity identifier.
- Field
Google
Privacy Dlp V2Field Id Response - Composite key indicating which field contains the entity identifier.
- field
Google
Privacy Dlp V2Field Id Response - Composite key indicating which field contains the entity identifier.
- field
Google
Privacy Dlp V2Field Id Response - Composite key indicating which field contains the entity identifier.
- field
Google
Privacy Dlp V2Field Id Response - Composite key indicating which field contains the entity identifier.
- field Property Map
- Composite key indicating which field contains the entity identifier.
GooglePrivacyDlpV2ErrorResponse, GooglePrivacyDlpV2ErrorResponseArgs
- Details
Pulumi.
Google Native. DLP. V2. Inputs. Google Rpc Status Response - Detailed error codes and messages.
- Timestamps List<string>
- The times the error occurred. List includes the oldest timestamp and the last 9 timestamps.
- Details
Google
Rpc Status Response - Detailed error codes and messages.
- Timestamps []string
- The times the error occurred. List includes the oldest timestamp and the last 9 timestamps.
- details
Google
Rpc Status Response - Detailed error codes and messages.
- timestamps List<String>
- The times the error occurred. List includes the oldest timestamp and the last 9 timestamps.
- details
Google
Rpc Status Response - Detailed error codes and messages.
- timestamps string[]
- The times the error occurred. List includes the oldest timestamp and the last 9 timestamps.
- details
Google
Rpc Status Response - Detailed error codes and messages.
- timestamps Sequence[str]
- The times the error occurred. List includes the oldest timestamp and the last 9 timestamps.
- details Property Map
- Detailed error codes and messages.
- timestamps List<String>
- The times the error occurred. List includes the oldest timestamp and the last 9 timestamps.
GooglePrivacyDlpV2ExcludeByHotword, GooglePrivacyDlpV2ExcludeByHotwordArgs
- Hotword
Regex Pulumi.Google Native. DLP. V2. Inputs. Google Privacy Dlp V2Regex - Regular expression pattern defining what qualifies as a hotword.
- Proximity
Pulumi.
Google Native. DLP. V2. Inputs. Google Privacy Dlp V2Proximity - Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The windowBefore property in proximity should be set to 1 if the hotword needs to be included in a column header.
- Hotword
Regex GooglePrivacy Dlp V2Regex - Regular expression pattern defining what qualifies as a hotword.
- Proximity
Google
Privacy Dlp V2Proximity - Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The windowBefore property in proximity should be set to 1 if the hotword needs to be included in a column header.
- hotword
Regex GooglePrivacy Dlp V2Regex - Regular expression pattern defining what qualifies as a hotword.
- proximity
Google
Privacy Dlp V2Proximity - Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The windowBefore property in proximity should be set to 1 if the hotword needs to be included in a column header.
- hotword
Regex GooglePrivacy Dlp V2Regex - Regular expression pattern defining what qualifies as a hotword.
- proximity
Google
Privacy Dlp V2Proximity - Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The windowBefore property in proximity should be set to 1 if the hotword needs to be included in a column header.
- hotword_
regex GooglePrivacy Dlp V2Regex - Regular expression pattern defining what qualifies as a hotword.
- proximity
Google
Privacy Dlp V2Proximity - Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The windowBefore property in proximity should be set to 1 if the hotword needs to be included in a column header.
- hotword
Regex Property Map - Regular expression pattern defining what qualifies as a hotword.
- proximity Property Map
- Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The windowBefore property in proximity should be set to 1 if the hotword needs to be included in a column header.
GooglePrivacyDlpV2ExcludeByHotwordResponse, GooglePrivacyDlpV2ExcludeByHotwordResponseArgs
- Hotword
Regex Pulumi.Google Native. DLP. V2. Inputs. Google Privacy Dlp V2Regex Response - Regular expression pattern defining what qualifies as a hotword.
- Proximity
Pulumi.
Google Native. DLP. V2. Inputs. Google Privacy Dlp V2Proximity Response - Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The windowBefore property in proximity should be set to 1 if the hotword needs to be included in a column header.
- Hotword
Regex GooglePrivacy Dlp V2Regex Response - Regular expression pattern defining what qualifies as a hotword.
- Proximity
Google
Privacy Dlp V2Proximity Response - Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The windowBefore property in proximity should be set to 1 if the hotword needs to be included in a column header.
- hotword
Regex GooglePrivacy Dlp V2Regex Response - Regular expression pattern defining what qualifies as a hotword.
- proximity
Google
Privacy Dlp V2Proximity Response - Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The windowBefore property in proximity should be set to 1 if the hotword needs to be included in a column header.
- hotword
Regex GooglePrivacy Dlp V2Regex Response - Regular expression pattern defining what qualifies as a hotword.
- proximity
Google
Privacy Dlp V2Proximity Response - Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The windowBefore property in proximity should be set to 1 if the hotword needs to be included in a column header.
- hotword_
regex GooglePrivacy Dlp V2Regex Response - Regular expression pattern defining what qualifies as a hotword.
- proximity
Google
Privacy Dlp V2Proximity Response - Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The windowBefore property in proximity should be set to 1 if the hotword needs to be included in a column header.
- hotword
Regex Property Map - Regular expression pattern defining what qualifies as a hotword.
- proximity Property Map
- Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The windowBefore property in proximity should be set to 1 if the hotword needs to be included in a column header.
GooglePrivacyDlpV2ExcludeInfoTypes, GooglePrivacyDlpV2ExcludeInfoTypesArgs
- Info
Types List<Pulumi.Google Native. DLP. V2. Inputs. Google Privacy Dlp V2Info Type> - InfoType list in ExclusionRule rule drops a finding when it overlaps or contained within with a finding of an infoType from this list. For example, for
InspectionRuleSet.info_typescontaining "PHONE_NUMBER"andexclusion_rulecontainingexclude_info_types.info_types` with "EMAIL_ADDRESS" the phone number findings are dropped if they overlap with EMAIL_ADDRESS finding. That leads to "555-222-2222@example.org" to generate only a single finding, namely email address.
- Info
Types []GooglePrivacy Dlp V2Info Type - InfoType list in ExclusionRule rule drops a finding when it overlaps or contained within with a finding of an infoType from this list. For example, for
InspectionRuleSet.info_typescontaining "PHONE_NUMBER"andexclusion_rulecontainingexclude_info_types.info_types` with "EMAIL_ADDRESS" the phone number findings are dropped if they overlap with EMAIL_ADDRESS finding. That leads to "555-222-2222@example.org" to generate only a single finding, namely email address.
- info
Types List<GooglePrivacy Dlp V2Info Type> - InfoType list in ExclusionRule rule drops a finding when it overlaps or contained within with a finding of an infoType from this list. For example, for
InspectionRuleSet.info_typescontaining "PHONE_NUMBER"andexclusion_rulecontainingexclude_info_types.info_types` with "EMAIL_ADDRESS" the phone number findings are dropped if they overlap with EMAIL_ADDRESS finding. That leads to "555-222-2222@example.org" to generate only a single finding, namely email address.
- info
Types GooglePrivacy Dlp V2Info Type[] - InfoType list in ExclusionRule rule drops a finding when it overlaps or contained within with a finding of an infoType from this list. For example, for
InspectionRuleSet.info_typescontaining "PHONE_NUMBER"andexclusion_rulecontainingexclude_info_types.info_types` with "EMAIL_ADDRESS" the phone number findings are dropped if they overlap with EMAIL_ADDRESS finding. That leads to "555-222-2222@example.org" to generate only a single finding, namely email address.
- info_
types Sequence[GooglePrivacy Dlp V2Info Type] - InfoType list in ExclusionRule rule drops a finding when it overlaps or contained within with a finding of an infoType from this list. For example, for
InspectionRuleSet.info_typescontaining "PHONE_NUMBER"andexclusion_rulecontainingexclude_info_types.info_types` with "EMAIL_ADDRESS" the phone number findings are dropped if they overlap with EMAIL_ADDRESS finding. That leads to "555-222-2222@example.org" to generate only a single finding, namely email address.
- info
Types List<Property Map> - InfoType list in ExclusionRule rule drops a finding when it overlaps or contained within with a finding of an infoType from this list. For example, for
InspectionRuleSet.info_typescontaining "PHONE_NUMBER"andexclusion_rulecontainingexclude_info_types.info_types` with "EMAIL_ADDRESS" the phone number findings are dropped if they overlap with EMAIL_ADDRESS finding. That leads to "555-222-2222@example.org" to generate only a single finding, namely email address.
GooglePrivacyDlpV2ExcludeInfoTypesResponse, GooglePrivacyDlpV2ExcludeInfoTypesResponseArgs
- Info
Types List<Pulumi.Google Native. DLP. V2. Inputs. Google Privacy Dlp V2Info Type Response> - InfoType list in ExclusionRule rule drops a finding when it overlaps or contained within with a finding of an infoType from this list. For example, for
InspectionRuleSet.info_typescontaining "PHONE_NUMBER"andexclusion_rulecontainingexclude_info_types.info_types` with "EMAIL_ADDRESS" the phone number findings are dropped if they overlap with EMAIL_ADDRESS finding. That leads to "555-222-2222@example.org" to generate only a single finding, namely email address.
- Info
Types []GooglePrivacy Dlp V2Info Type Response - InfoType list in ExclusionRule rule drops a finding when it overlaps or contained within with a finding of an infoType from this list. For example, for
InspectionRuleSet.info_typescontaining "PHONE_NUMBER"andexclusion_rulecontainingexclude_info_types.info_types` with "EMAIL_ADDRESS" the phone number findings are dropped if they overlap with EMAIL_ADDRESS finding. That leads to "555-222-2222@example.org" to generate only a single finding, namely email address.
- info
Types List<GooglePrivacy Dlp V2Info Type Response> - InfoType list in ExclusionRule rule drops a finding when it overlaps or contained within with a finding of an infoType from this list. For example, for
InspectionRuleSet.info_typescontaining "PHONE_NUMBER"andexclusion_rulecontainingexclude_info_types.info_types` with "EMAIL_ADDRESS" the phone number findings are dropped if they overlap with EMAIL_ADDRESS finding. That leads to "555-222-2222@example.org" to generate only a single finding, namely email address.
- info
Types GooglePrivacy Dlp V2Info Type Response[] - InfoType list in ExclusionRule rule drops a finding when it overlaps or contained within with a finding of an infoType from this list. For example, for
InspectionRuleSet.info_typescontaining "PHONE_NUMBER"andexclusion_rulecontainingexclude_info_types.info_types` with "EMAIL_ADDRESS" the phone number findings are dropped if they overlap with EMAIL_ADDRESS finding. That leads to "555-222-2222@example.org" to generate only a single finding, namely email address.
- info_
types Sequence[GooglePrivacy Dlp V2Info Type Response] - InfoType list in ExclusionRule rule drops a finding when it overlaps or contained within with a finding of an infoType from this list. For example, for
InspectionRuleSet.info_typescontaining "PHONE_NUMBER"andexclusion_rulecontainingexclude_info_types.info_types` with "EMAIL_ADDRESS" the phone number findings are dropped if they overlap with EMAIL_ADDRESS finding. That leads to "555-222-2222@example.org" to generate only a single finding, namely email address.
- info
Types List<Property Map> - InfoType list in ExclusionRule rule drops a finding when it overlaps or contained within with a finding of an infoType from this list. For example, for
InspectionRuleSet.info_typescontaining "PHONE_NUMBER"andexclusion_rulecontainingexclude_info_types.info_types` with "EMAIL_ADDRESS" the phone number findings are dropped if they overlap with EMAIL_ADDRESS finding. That leads to "555-222-2222@example.org" to generate only a single finding, namely email address.
GooglePrivacyDlpV2ExclusionRule, GooglePrivacyDlpV2ExclusionRuleArgs
- Dictionary
Pulumi.
Google Native. DLP. V2. Inputs. Google Privacy Dlp V2Dictionary - Dictionary which defines the rule.
- Exclude
By Pulumi.Hotword Google Native. DLP. V2. Inputs. Google Privacy Dlp V2Exclude By Hotword - Drop if the hotword rule is contained in the proximate context. For tabular data, the context includes the column name.
- Exclude
Info Pulumi.Types Google Native. DLP. V2. Inputs. Google Privacy Dlp V2Exclude Info Types - Set of infoTypes for which findings would affect this rule.
- Matching
Type Pulumi.Google Native. DLP. V2. Google Privacy Dlp V2Exclusion Rule Matching Type - How the rule is applied, see MatchingType documentation for details.
- Regex
Pulumi.
Google Native. DLP. V2. Inputs. Google Privacy Dlp V2Regex - Regular expression which defines the rule.
- Dictionary
Google
Privacy Dlp V2Dictionary - Dictionary which defines the rule.
- Exclude
By GoogleHotword Privacy Dlp V2Exclude By Hotword - Drop if the hotword rule is contained in the proximate context. For tabular data, the context includes the column name.
- Exclude
Info GoogleTypes Privacy Dlp V2Exclude Info Types - Set of infoTypes for which findings would affect this rule.
- Matching
Type GooglePrivacy Dlp V2Exclusion Rule Matching Type - How the rule is applied, see MatchingType documentation for details.
- Regex
Google
Privacy Dlp V2Regex - Regular expression which defines the rule.
- dictionary
Google
Privacy Dlp V2Dictionary - Dictionary which defines the rule.
- exclude
By GoogleHotword Privacy Dlp V2Exclude By Hotword - Drop if the hotword rule is contained in the proximate context. For tabular data, the context includes the column name.
- exclude
Info GoogleTypes Privacy Dlp V2Exclude Info Types - Set of infoTypes for which findings would affect this rule.
- matching
Type GooglePrivacy Dlp V2Exclusion Rule Matching Type - How the rule is applied, see MatchingType documentation for details.
- regex
Google
Privacy Dlp V2Regex - Regular expression which defines the rule.
- dictionary
Google
Privacy Dlp V2Dictionary - Dictionary which defines the rule.
- exclude
By GoogleHotword Privacy Dlp V2Exclude By Hotword - Drop if the hotword rule is contained in the proximate context. For tabular data, the context includes the column name.
- exclude
Info GoogleTypes Privacy Dlp V2Exclude Info Types - Set of infoTypes for which findings would affect this rule.
- matching
Type GooglePrivacy Dlp V2Exclusion Rule Matching Type - How the rule is applied, see MatchingType documentation for details.
- regex
Google
Privacy Dlp V2Regex - Regular expression which defines the rule.
- dictionary
Google
Privacy Dlp V2Dictionary - Dictionary which defines the rule.
- exclude_
by_ Googlehotword Privacy Dlp V2Exclude By Hotword - Drop if the hotword rule is contained in the proximate context. For tabular data, the context includes the column name.
- exclude_
info_ Googletypes Privacy Dlp V2Exclude Info Types - Set of infoTypes for which findings would affect this rule.
- matching_
type GooglePrivacy Dlp V2Exclusion Rule Matching Type - How the rule is applied, see MatchingType documentation for details.
- regex
Google
Privacy Dlp V2Regex - Regular expression which defines the rule.
- dictionary Property Map
- Dictionary which defines the rule.
- exclude
By Property MapHotword - Drop if the hotword rule is contained in the proximate context. For tabular data, the context includes the column name.
- exclude
Info Property MapTypes - Set of infoTypes for which findings would affect this rule.
- matching
Type "MATCHING_TYPE_UNSPECIFIED" | "MATCHING_TYPE_FULL_MATCH" | "MATCHING_TYPE_PARTIAL_MATCH" | "MATCHING_TYPE_INVERSE_MATCH" - How the rule is applied, see MatchingType documentation for details.
- regex Property Map
- Regular expression which defines the rule.
GooglePrivacyDlpV2ExclusionRuleMatchingType, GooglePrivacyDlpV2ExclusionRuleMatchingTypeArgs
- Matching
Type Unspecified - MATCHING_TYPE_UNSPECIFIEDInvalid.
- Matching
Type Full Match - MATCHING_TYPE_FULL_MATCHFull match. - Dictionary: join of Dictionary results matched complete finding quote - Regex: all regex matches fill a finding quote start to end - Exclude info type: completely inside affecting info types findings
- Matching
Type Partial Match - MATCHING_TYPE_PARTIAL_MATCHPartial match. - Dictionary: at least one of the tokens in the finding matches - Regex: substring of the finding matches - Exclude info type: intersects with affecting info types findings
- Matching
Type Inverse Match - MATCHING_TYPE_INVERSE_MATCHInverse match. - Dictionary: no tokens in the finding match the dictionary - Regex: finding doesn't match the regex - Exclude info type: no intersection with affecting info types findings
- Google
Privacy Dlp V2Exclusion Rule Matching Type Matching Type Unspecified - MATCHING_TYPE_UNSPECIFIEDInvalid.
- Google
Privacy Dlp V2Exclusion Rule Matching Type Matching Type Full Match - MATCHING_TYPE_FULL_MATCHFull match. - Dictionary: join of Dictionary results matched complete finding quote - Regex: all regex matches fill a finding quote start to end - Exclude info type: completely inside affecting info types findings
- Google
Privacy Dlp V2Exclusion Rule Matching Type Matching Type Partial Match - MATCHING_TYPE_PARTIAL_MATCHPartial match. - Dictionary: at least one of the tokens in the finding matches - Regex: substring of the finding matches - Exclude info type: intersects with affecting info types findings
- Google
Privacy Dlp V2Exclusion Rule Matching Type Matching Type Inverse Match - MATCHING_TYPE_INVERSE_MATCHInverse match. - Dictionary: no tokens in the finding match the dictionary - Regex: finding doesn't match the regex - Exclude info type: no intersection with affecting info types findings
- Matching
Type Unspecified - MATCHING_TYPE_UNSPECIFIEDInvalid.
- Matching
Type Full Match - MATCHING_TYPE_FULL_MATCHFull match. - Dictionary: join of Dictionary results matched complete finding quote - Regex: all regex matches fill a finding quote start to end - Exclude info type: completely inside affecting info types findings
- Matching
Type Partial Match - MATCHING_TYPE_PARTIAL_MATCHPartial match. - Dictionary: at least one of the tokens in the finding matches - Regex: substring of the finding matches - Exclude info type: intersects with affecting info types findings
- Matching
Type Inverse Match - MATCHING_TYPE_INVERSE_MATCHInverse match. - Dictionary: no tokens in the finding match the dictionary - Regex: finding doesn't match the regex - Exclude info type: no intersection with affecting info types findings
- Matching
Type Unspecified - MATCHING_TYPE_UNSPECIFIEDInvalid.
- Matching
Type Full Match - MATCHING_TYPE_FULL_MATCHFull match. - Dictionary: join of Dictionary results matched complete finding quote - Regex: all regex matches fill a finding quote start to end - Exclude info type: completely inside affecting info types findings
- Matching
Type Partial Match - MATCHING_TYPE_PARTIAL_MATCHPartial match. - Dictionary: at least one of the tokens in the finding matches - Regex: substring of the finding matches - Exclude info type: intersects with affecting info types findings
- Matching
Type Inverse Match - MATCHING_TYPE_INVERSE_MATCHInverse match. - Dictionary: no tokens in the finding match the dictionary - Regex: finding doesn't match the regex - Exclude info type: no intersection with affecting info types findings
- MATCHING_TYPE_UNSPECIFIED
- MATCHING_TYPE_UNSPECIFIEDInvalid.
- MATCHING_TYPE_FULL_MATCH
- MATCHING_TYPE_FULL_MATCHFull match. - Dictionary: join of Dictionary results matched complete finding quote - Regex: all regex matches fill a finding quote start to end - Exclude info type: completely inside affecting info types findings
- MATCHING_TYPE_PARTIAL_MATCH
- MATCHING_TYPE_PARTIAL_MATCHPartial match. - Dictionary: at least one of the tokens in the finding matches - Regex: substring of the finding matches - Exclude info type: intersects with affecting info types findings
- MATCHING_TYPE_INVERSE_MATCH
- MATCHING_TYPE_INVERSE_MATCHInverse match. - Dictionary: no tokens in the finding match the dictionary - Regex: finding doesn't match the regex - Exclude info type: no intersection with affecting info types findings
- "MATCHING_TYPE_UNSPECIFIED"
- MATCHING_TYPE_UNSPECIFIEDInvalid.
- "MATCHING_TYPE_FULL_MATCH"
- MATCHING_TYPE_FULL_MATCHFull match. - Dictionary: join of Dictionary results matched complete finding quote - Regex: all regex matches fill a finding quote start to end - Exclude info type: completely inside affecting info types findings
- "MATCHING_TYPE_PARTIAL_MATCH"
- MATCHING_TYPE_PARTIAL_MATCHPartial match. - Dictionary: at least one of the tokens in the finding matches - Regex: substring of the finding matches - Exclude info type: intersects with affecting info types findings
- "MATCHING_TYPE_INVERSE_MATCH"
- MATCHING_TYPE_INVERSE_MATCHInverse match. - Dictionary: no tokens in the finding match the dictionary - Regex: finding doesn't match the regex - Exclude info type: no intersection with affecting info types findings
GooglePrivacyDlpV2ExclusionRuleResponse, GooglePrivacyDlpV2ExclusionRuleResponseArgs
- Dictionary
Pulumi.
Google Native. DLP. V2. Inputs. Google Privacy Dlp V2Dictionary Response - Dictionary which defines the rule.
- Exclude
By Pulumi.Hotword Google Native. DLP. V2. Inputs. Google Privacy Dlp V2Exclude By Hotword Response - Drop if the hotword rule is contained in the proximate context. For tabular data, the context includes the column name.
- Exclude
Info Pulumi.Types Google Native. DLP. V2. Inputs. Google Privacy Dlp V2Exclude Info Types Response - Set of infoTypes for which findings would affect this rule.
- Matching
Type string - How the rule is applied, see MatchingType documentation for details.
- Regex
Pulumi.
Google Native. DLP. V2. Inputs. Google Privacy Dlp V2Regex Response - Regular expression which defines the rule.
- Dictionary
Google
Privacy Dlp V2Dictionary Response - Dictionary which defines the rule.
- Exclude
By GoogleHotword Privacy Dlp V2Exclude By Hotword Response - Drop if the hotword rule is contained in the proximate context. For tabular data, the context includes the column name.
- Exclude
Info GoogleTypes Privacy Dlp V2Exclude Info Types Response - Set of infoTypes for which findings would affect this rule.
- Matching
Type string - How the rule is applied, see MatchingType documentation for details.
- Regex
Google
Privacy Dlp V2Regex Response - Regular expression which defines the rule.
- dictionary
Google
Privacy Dlp V2Dictionary Response - Dictionary which defines the rule.
- exclude
By GoogleHotword Privacy Dlp V2Exclude By Hotword Response - Drop if the hotword rule is contained in the proximate context. For tabular data, the context includes the column name.
- exclude
Info GoogleTypes Privacy Dlp V2Exclude Info Types Response - Set of infoTypes for which findings would affect this rule.
- matching
Type String - How the rule is applied, see MatchingType documentation for details.
- regex
Google
Privacy Dlp V2Regex Response - Regular expression which defines the rule.
- dictionary
Google
Privacy Dlp V2Dictionary Response - Dictionary which defines the rule.
- exclude
By GoogleHotword Privacy Dlp V2Exclude By Hotword Response - Drop if the hotword rule is contained in the proximate context. For tabular data, the context includes the column name.
- exclude
Info GoogleTypes Privacy Dlp V2Exclude Info Types Response - Set of infoTypes for which findings would affect this rule.
- matching
Type string - How the rule is applied, see MatchingType documentation for details.
- regex
Google
Privacy Dlp V2Regex Response - Regular expression which defines the rule.
- dictionary
Google
Privacy Dlp V2Dictionary Response - Dictionary which defines the rule.
- exclude_
by_ Googlehotword Privacy Dlp V2Exclude By Hotword Response - Drop if the hotword rule is contained in the proximate context. For tabular data, the context includes the column name.
- exclude_
info_ Googletypes Privacy Dlp V2Exclude Info Types Response - Set of infoTypes for which findings would affect this rule.
- matching_
type str - How the rule is applied, see MatchingType documentation for details.
- regex
Google
Privacy Dlp V2Regex Response - Regular expression which defines the rule.
- dictionary Property Map
- Dictionary which defines the rule.
- exclude
By Property MapHotword - Drop if the hotword rule is contained in the proximate context. For tabular data, the context includes the column name.
- exclude
Info Property MapTypes - Set of infoTypes for which findings would affect this rule.
- matching
Type String - How the rule is applied, see MatchingType documentation for details.
- regex Property Map
- Regular expression which defines the rule.
GooglePrivacyDlpV2ExpressionsResponse, GooglePrivacyDlpV2ExpressionsResponseArgs
- Conditions
Pulumi.
Google Native. DLP. V2. Inputs. Google Privacy Dlp V2Conditions Response - Conditions to apply to the expression.
- Logical
Operator string - The operator to apply to the result of conditions. Default and currently only supported value is
AND.
- Conditions
Google
Privacy Dlp V2Conditions Response - Conditions to apply to the expression.
- Logical
Operator string - The operator to apply to the result of conditions. Default and currently only supported value is
AND.
- conditions
Google
Privacy Dlp V2Conditions Response - Conditions to apply to the expression.
- logical
Operator String - The operator to apply to the result of conditions. Default and currently only supported value is
AND.
- conditions
Google
Privacy Dlp V2Conditions Response - Conditions to apply to the expression.
- logical
Operator string - The operator to apply to the result of conditions. Default and currently only supported value is
AND.
- conditions
Google
Privacy Dlp V2Conditions Response - Conditions to apply to the expression.
- logical_
operator str - The operator to apply to the result of conditions. Default and currently only supported value is
AND.
- conditions Property Map
- Conditions to apply to the expression.
- logical
Operator String - The operator to apply to the result of conditions. Default and currently only supported value is
AND.
GooglePrivacyDlpV2FieldId, GooglePrivacyDlpV2FieldIdArgs
- Name string
- Name describing the field.
- Name string
- Name describing the field.
- name String
- Name describing the field.
- name string
- Name describing the field.
- name str
- Name describing the field.
- name String
- Name describing the field.
GooglePrivacyDlpV2FieldIdResponse, GooglePrivacyDlpV2FieldIdResponseArgs
- Name string
- Name describing the field.
- Name string
- Name describing the field.
- name String
- Name describing the field.
- name string
- Name describing the field.
- name str
- Name describing the field.
- name String
- Name describing the field.
GooglePrivacyDlpV2FieldTransformationResponse, GooglePrivacyDlpV2FieldTransformationResponseArgs
- Condition
Pulumi.
Google Native. DLP. V2. Inputs. Google Privacy Dlp V2Record Condition Response - Only apply the transformation if the condition evaluates to true for the given
RecordCondition. The conditions are allowed to reference fields that are not used in the actual transformation. Example Use Cases: - Apply a different bucket transformation to an age column if the zip code column for the same record is within a specific range. - Redact a field if the date of birth field is greater than 85. - Fields
List<Pulumi.
Google Native. DLP. V2. Inputs. Google Privacy Dlp V2Field Id Response> - Input field(s) to apply the transformation to. When you have columns that reference their position within a list, omit the index from the FieldId. FieldId name matching ignores the index. For example, instead of "contact.nums[0].type", use "contact.nums.type".
- Info
Type Pulumi.Transformations Google Native. DLP. V2. Inputs. Google Privacy Dlp V2Info Type Transformations Response - Treat the contents of the field as free text, and selectively transform content that matches an
InfoType. - Primitive
Transformation Pulumi.Google Native. DLP. V2. Inputs. Google Privacy Dlp V2Primitive Transformation Response - Apply the transformation to the entire field.
- Condition
Google
Privacy Dlp V2Record Condition Response - Only apply the transformation if the condition evaluates to true for the given
RecordCondition. The conditions are allowed to reference fields that are not used in the actual transformation. Example Use Cases: - Apply a different bucket transformation to an age column if the zip code column for the same record is within a specific range. - Redact a field if the date of birth field is greater than 85. - Fields
[]Google
Privacy Dlp V2Field Id Response - Input field(s) to apply the transformation to. When you have columns that reference their position within a list, omit the index from the FieldId. FieldId name matching ignores the index. For example, instead of "contact.nums[0].type", use "contact.nums.type".
- Info
Type GoogleTransformations Privacy Dlp V2Info Type Transformations Response - Treat the contents of the field as free text, and selectively transform content that matches an
InfoType. - Primitive
Transformation GooglePrivacy Dlp V2Primitive Transformation Response - Apply the transformation to the entire field.
- condition
Google
Privacy Dlp V2Record Condition Response - Only apply the transformation if the condition evaluates to true for the given
RecordCondition. The conditions are allowed to reference fields that are not used in the actual transformation. Example Use Cases: - Apply a different bucket transformation to an age column if the zip code column for the same record is within a specific range. - Redact a field if the date of birth field is greater than 85. - fields
List<Google
Privacy Dlp V2Field Id Response> - Input field(s) to apply the transformation to. When you have columns that reference their position within a list, omit the index from the FieldId. FieldId name matching ignores the index. For example, instead of "contact.nums[0].type", use "contact.nums.type".
- info
Type GoogleTransformations Privacy Dlp V2Info Type Transformations Response - Treat the contents of the field as free text, and selectively transform content that matches an
InfoType. - primitive
Transformation GooglePrivacy Dlp V2Primitive Transformation Response - Apply the transformation to the entire field.
- condition
Google
Privacy Dlp V2Record Condition Response - Only apply the transformation if the condition evaluates to true for the given
RecordCondition. The conditions are allowed to reference fields that are not used in the actual transformation. Example Use Cases: - Apply a different bucket transformation to an age column if the zip code column for the same record is within a specific range. - Redact a field if the date of birth field is greater than 85. - fields
Google
Privacy Dlp V2Field Id Response[] - Input field(s) to apply the transformation to. When you have columns that reference their position within a list, omit the index from the FieldId. FieldId name matching ignores the index. For example, instead of "contact.nums[0].type", use "contact.nums.type".
- info
Type GoogleTransformations Privacy Dlp V2Info Type Transformations Response - Treat the contents of the field as free text, and selectively transform content that matches an
InfoType. - primitive
Transformation GooglePrivacy Dlp V2Primitive Transformation Response - Apply the transformation to the entire field.
- condition
Google
Privacy Dlp V2Record Condition Response - Only apply the transformation if the condition evaluates to true for the given
RecordCondition. The conditions are allowed to reference fields that are not used in the actual transformation. Example Use Cases: - Apply a different bucket transformation to an age column if the zip code column for the same record is within a specific range. - Redact a field if the date of birth field is greater than 85. - fields
Sequence[Google
Privacy Dlp V2Field Id Response] - Input field(s) to apply the transformation to. When you have columns that reference their position within a list, omit the index from the FieldId. FieldId name matching ignores the index. For example, instead of "contact.nums[0].type", use "contact.nums.type".
- info_
type_ Googletransformations Privacy Dlp V2Info Type Transformations Response - Treat the contents of the field as free text, and selectively transform content that matches an
InfoType. - primitive_
transformation GooglePrivacy Dlp V2Primitive Transformation Response - Apply the transformation to the entire field.
- condition Property Map
- Only apply the transformation if the condition evaluates to true for the given
RecordCondition. The conditions are allowed to reference fields that are not used in the actual transformation. Example Use Cases: - Apply a different bucket transformation to an age column if the zip code column for the same record is within a specific range. - Redact a field if the date of birth field is greater than 85. - fields List<Property Map>
- Input field(s) to apply the transformation to. When you have columns that reference their position within a list, omit the index from the FieldId. FieldId name matching ignores the index. For example, instead of "contact.nums[0].type", use "contact.nums.type".
- info
Type Property MapTransformations - Treat the contents of the field as free text, and selectively transform content that matches an
InfoType. - primitive
Transformation Property Map - Apply the transformation to the entire field.
GooglePrivacyDlpV2FileSet, GooglePrivacyDlpV2FileSetArgs
- Regex
File Pulumi.Set Google Native. DLP. V2. Inputs. Google Privacy Dlp V2Cloud Storage Regex File Set - The regex-filtered set of files to scan. Exactly one of
urlorregex_file_setmust be set. - Url string
- The Cloud Storage url of the file(s) to scan, in the format
gs:///. Trailing wildcard in the path is allowed. If the url ends in a trailing slash, the bucket or directory represented by the url will be scanned non-recursively (content in sub-directories will not be scanned). This means thatgs://mybucket/is equivalent togs://mybucket/*, andgs://mybucket/directory/is equivalent togs://mybucket/directory/*. Exactly one ofurlorregex_file_setmust be set.
- Regex
File GoogleSet Privacy Dlp V2Cloud Storage Regex File Set - The regex-filtered set of files to scan. Exactly one of
urlorregex_file_setmust be set. - Url string
- The Cloud Storage url of the file(s) to scan, in the format
gs:///. Trailing wildcard in the path is allowed. If the url ends in a trailing slash, the bucket or directory represented by the url will be scanned non-recursively (content in sub-directories will not be scanned). This means thatgs://mybucket/is equivalent togs://mybucket/*, andgs://mybucket/directory/is equivalent togs://mybucket/directory/*. Exactly one ofurlorregex_file_setmust be set.
- regex
File GoogleSet Privacy Dlp V2Cloud Storage Regex File Set - The regex-filtered set of files to scan. Exactly one of
urlorregex_file_setmust be set. - url String
- The Cloud Storage url of the file(s) to scan, in the format
gs:///. Trailing wildcard in the path is allowed. If the url ends in a trailing slash, the bucket or directory represented by the url will be scanned non-recursively (content in sub-directories will not be scanned). This means thatgs://mybucket/is equivalent togs://mybucket/*, andgs://mybucket/directory/is equivalent togs://mybucket/directory/*. Exactly one ofurlorregex_file_setmust be set.
- regex
File GoogleSet Privacy Dlp V2Cloud Storage Regex File Set - The regex-filtered set of files to scan. Exactly one of
urlorregex_file_setmust be set. - url string
- The Cloud Storage url of the file(s) to scan, in the format
gs:///. Trailing wildcard in the path is allowed. If the url ends in a trailing slash, the bucket or directory represented by the url will be scanned non-recursively (content in sub-directories will not be scanned). This means thatgs://mybucket/is equivalent togs://mybucket/*, andgs://mybucket/directory/is equivalent togs://mybucket/directory/*. Exactly one ofurlorregex_file_setmust be set.
- regex_
file_ Googleset Privacy Dlp V2Cloud Storage Regex File Set - The regex-filtered set of files to scan. Exactly one of
urlorregex_file_setmust be set. - url str
- The Cloud Storage url of the file(s) to scan, in the format
gs:///. Trailing wildcard in the path is allowed. If the url ends in a trailing slash, the bucket or directory represented by the url will be scanned non-recursively (content in sub-directories will not be scanned). This means thatgs://mybucket/is equivalent togs://mybucket/*, andgs://mybucket/directory/is equivalent togs://mybucket/directory/*. Exactly one ofurlorregex_file_setmust be set.
- regex
File Property MapSet - The regex-filtered set of files to scan. Exactly one of
urlorregex_file_setmust be set. - url String
- The Cloud Storage url of the file(s) to scan, in the format
gs:///. Trailing wildcard in the path is allowed. If the url ends in a trailing slash, the bucket or directory represented by the url will be scanned non-recursively (content in sub-directories will not be scanned). This means thatgs://mybucket/is equivalent togs://mybucket/*, andgs://mybucket/directory/is equivalent togs://mybucket/directory/*. Exactly one ofurlorregex_file_setmust be set.
GooglePrivacyDlpV2FileSetResponse, GooglePrivacyDlpV2FileSetResponseArgs
- Regex
File Pulumi.Set Google Native. DLP. V2. Inputs. Google Privacy Dlp V2Cloud Storage Regex File Set Response - The regex-filtered set of files to scan. Exactly one of
urlorregex_file_setmust be set. - Url string
- The Cloud Storage url of the file(s) to scan, in the format
gs:///. Trailing wildcard in the path is allowed. If the url ends in a trailing slash, the bucket or directory represented by the url will be scanned non-recursively (content in sub-directories will not be scanned). This means thatgs://mybucket/is equivalent togs://mybucket/*, andgs://mybucket/directory/is equivalent togs://mybucket/directory/*. Exactly one ofurlorregex_file_setmust be set.
- Regex
File GoogleSet Privacy Dlp V2Cloud Storage Regex File Set Response - The regex-filtered set of files to scan. Exactly one of
urlorregex_file_setmust be set. - Url string
- The Cloud Storage url of the file(s) to scan, in the format
gs:///. Trailing wildcard in the path is allowed. If the url ends in a trailing slash, the bucket or directory represented by the url will be scanned non-recursively (content in sub-directories will not be scanned). This means thatgs://mybucket/is equivalent togs://mybucket/*, andgs://mybucket/directory/is equivalent togs://mybucket/directory/*. Exactly one ofurlorregex_file_setmust be set.
- regex
File GoogleSet Privacy Dlp V2Cloud Storage Regex File Set Response - The regex-filtered set of files to scan. Exactly one of
urlorregex_file_setmust be set. - url String
- The Cloud Storage url of the file(s) to scan, in the format
gs:///. Trailing wildcard in the path is allowed. If the url ends in a trailing slash, the bucket or directory represented by the url will be scanned non-recursively (content in sub-directories will not be scanned). This means thatgs://mybucket/is equivalent togs://mybucket/*, andgs://mybucket/directory/is equivalent togs://mybucket/directory/*. Exactly one ofurlorregex_file_setmust be set.
- regex
File GoogleSet Privacy Dlp V2Cloud Storage Regex File Set Response - The regex-filtered set of files to scan. Exactly one of
urlorregex_file_setmust be set. - url string
- The Cloud Storage url of the file(s) to scan, in the format
gs:///. Trailing wildcard in the path is allowed. If the url ends in a trailing slash, the bucket or directory represented by the url will be scanned non-recursively (content in sub-directories will not be scanned). This means thatgs://mybucket/is equivalent togs://mybucket/*, andgs://mybucket/directory/is equivalent togs://mybucket/directory/*. Exactly one ofurlorregex_file_setmust be set.
- regex_
file_ Googleset Privacy Dlp V2Cloud Storage Regex File Set Response - The regex-filtered set of files to scan. Exactly one of
urlorregex_file_setmust be set. - url str
- The Cloud Storage url of the file(s) to scan, in the format
gs:///. Trailing wildcard in the path is allowed. If the url ends in a trailing slash, the bucket or directory represented by the url will be scanned non-recursively (content in sub-directories will not be scanned). This means thatgs://mybucket/is equivalent togs://mybucket/*, andgs://mybucket/directory/is equivalent togs://mybucket/directory/*. Exactly one ofurlorregex_file_setmust be set.
- regex
File Property MapSet - The regex-filtered set of files to scan. Exactly one of
urlorregex_file_setmust be set. - url String
- The Cloud Storage url of the file(s) to scan, in the format
gs:///. Trailing wildcard in the path is allowed. If the url ends in a trailing slash, the bucket or directory represented by the url will be scanned non-recursively (content in sub-directories will not be scanned). This means thatgs://mybucket/is equivalent togs://mybucket/*, andgs://mybucket/directory/is equivalent togs://mybucket/directory/*. Exactly one ofurlorregex_file_setmust be set.
GooglePrivacyDlpV2FindingLimits, GooglePrivacyDlpV2FindingLimitsArgs
- Max
Findings List<Pulumi.Per Info Type Google Native. DLP. V2. Inputs. Google Privacy Dlp V2Info Type Limit> - Configuration of findings limit given for specified infoTypes.
- Max
Findings intPer Item - Max number of findings that are returned for each item scanned. When set within an InspectContentRequest, this field is ignored. This value isn't a hard limit. If the number of findings for an item reaches this limit, the inspection of that item ends gradually, not abruptly. Therefore, the actual number of findings that Cloud DLP returns for the item can be multiple times higher than this value.
- Max
Findings intPer Request - Max number of findings that are returned per request or job. If you set this field in an InspectContentRequest, the resulting maximum value is the value that you set or 3,000, whichever is lower. This value isn't a hard limit. If an inspection reaches this limit, the inspection ends gradually, not abruptly. Therefore, the actual number of findings that Cloud DLP returns can be multiple times higher than this value.
- Max
Findings []GooglePer Info Type Privacy Dlp V2Info Type Limit - Configuration of findings limit given for specified infoTypes.
- Max
Findings intPer Item - Max number of findings that are returned for each item scanned. When set within an InspectContentRequest, this field is ignored. This value isn't a hard limit. If the number of findings for an item reaches this limit, the inspection of that item ends gradually, not abruptly. Therefore, the actual number of findings that Cloud DLP returns for the item can be multiple times higher than this value.
- Max
Findings intPer Request - Max number of findings that are returned per request or job. If you set this field in an InspectContentRequest, the resulting maximum value is the value that you set or 3,000, whichever is lower. This value isn't a hard limit. If an inspection reaches this limit, the inspection ends gradually, not abruptly. Therefore, the actual number of findings that Cloud DLP returns can be multiple times higher than this value.
- max
Findings List<GooglePer Info Type Privacy Dlp V2Info Type Limit> - Configuration of findings limit given for specified infoTypes.
- max
Findings IntegerPer Item - Max number of findings that are returned for each item scanned. When set within an InspectContentRequest, this field is ignored. This value isn't a hard limit. If the number of findings for an item reaches this limit, the inspection of that item ends gradually, not abruptly. Therefore, the actual number of findings that Cloud DLP returns for the item can be multiple times higher than this value.
- max
Findings IntegerPer Request - Max number of findings that are returned per request or job. If you set this field in an InspectContentRequest, the resulting maximum value is the value that you set or 3,000, whichever is lower. This value isn't a hard limit. If an inspection reaches this limit, the inspection ends gradually, not abruptly. Therefore, the actual number of findings that Cloud DLP returns can be multiple times higher than this value.
- max
Findings GooglePer Info Type Privacy Dlp V2Info Type Limit[] - Configuration of findings limit given for specified infoTypes.
- max
Findings numberPer Item - Max number of findings that are returned for each item scanned. When set within an InspectContentRequest, this field is ignored. This value isn't a hard limit. If the number of findings for an item reaches this limit, the inspection of that item ends gradually, not abruptly. Therefore, the actual number of findings that Cloud DLP returns for the item can be multiple times higher than this value.
- max
Findings numberPer Request - Max number of findings that are returned per request or job. If you set this field in an InspectContentRequest, the resulting maximum value is the value that you set or 3,000, whichever is lower. This value isn't a hard limit. If an inspection reaches this limit, the inspection ends gradually, not abruptly. Therefore, the actual number of findings that Cloud DLP returns can be multiple times higher than this value.
- max_
findings_ Sequence[Googleper_ info_ type Privacy Dlp V2Info Type Limit] - Configuration of findings limit given for specified infoTypes.
- max_
findings_ intper_ item - Max number of findings that are returned for each item scanned. When set within an InspectContentRequest, this field is ignored. This value isn't a hard limit. If the number of findings for an item reaches this limit, the inspection of that item ends gradually, not abruptly. Therefore, the actual number of findings that Cloud DLP returns for the item can be multiple times higher than this value.
- max_
findings_ intper_ request - Max number of findings that are returned per request or job. If you set this field in an InspectContentRequest, the resulting maximum value is the value that you set or 3,000, whichever is lower. This value isn't a hard limit. If an inspection reaches this limit, the inspection ends gradually, not abruptly. Therefore, the actual number of findings that Cloud DLP returns can be multiple times higher than this value.
- max
Findings List<Property Map>Per Info Type - Configuration of findings limit given for specified infoTypes.
- max
Findings NumberPer Item - Max number of findings that are returned for each item scanned. When set within an InspectContentRequest, this field is ignored. This value isn't a hard limit. If the number of findings for an item reaches this limit, the inspection of that item ends gradually, not abruptly. Therefore, the actual number of findings that Cloud DLP returns for the item can be multiple times higher than this value.
- max
Findings NumberPer Request - Max number of findings that are returned per request or job. If you set this field in an InspectContentRequest, the resulting maximum value is the value that you set or 3,000, whichever is lower. This value isn't a hard limit. If an inspection reaches this limit, the inspection ends gradually, not abruptly. Therefore, the actual number of findings that Cloud DLP returns can be multiple times higher than this value.
GooglePrivacyDlpV2FindingLimitsResponse, GooglePrivacyDlpV2FindingLimitsResponseArgs
- Max
Findings List<Pulumi.Per Info Type Google Native. DLP. V2. Inputs. Google Privacy Dlp V2Info Type Limit Response> - Configuration of findings limit given for specified infoTypes.
- Max
Findings intPer Item - Max number of findings that are returned for each item scanned. When set within an InspectContentRequest, this field is ignored. This value isn't a hard limit. If the number of findings for an item reaches this limit, the inspection of that item ends gradually, not abruptly. Therefore, the actual number of findings that Cloud DLP returns for the item can be multiple times higher than this value.
- Max
Findings intPer Request - Max number of findings that are returned per request or job. If you set this field in an InspectContentRequest, the resulting maximum value is the value that you set or 3,000, whichever is lower. This value isn't a hard limit. If an inspection reaches this limit, the inspection ends gradually, not abruptly. Therefore, the actual number of findings that Cloud DLP returns can be multiple times higher than this value.
- Max
Findings []GooglePer Info Type Privacy Dlp V2Info Type Limit Response - Configuration of findings limit given for specified infoTypes.
- Max
Findings intPer Item - Max number of findings that are returned for each item scanned. When set within an InspectContentRequest, this field is ignored. This value isn't a hard limit. If the number of findings for an item reaches this limit, the inspection of that item ends gradually, not abruptly. Therefore, the actual number of findings that Cloud DLP returns for the item can be multiple times higher than this value.
- Max
Findings intPer Request - Max number of findings that are returned per request or job. If you set this field in an InspectContentRequest, the resulting maximum value is the value that you set or 3,000, whichever is lower. This value isn't a hard limit. If an inspection reaches this limit, the inspection ends gradually, not abruptly. Therefore, the actual number of findings that Cloud DLP returns can be multiple times higher than this value.
- max
Findings List<GooglePer Info Type Privacy Dlp V2Info Type Limit Response> - Configuration of findings limit given for specified infoTypes.
- max
Findings IntegerPer Item - Max number of findings that are returned for each item scanned. When set within an InspectContentRequest, this field is ignored. This value isn't a hard limit. If the number of findings for an item reaches this limit, the inspection of that item ends gradually, not abruptly. Therefore, the actual number of findings that Cloud DLP returns for the item can be multiple times higher than this value.
- max
Findings IntegerPer Request - Max number of findings that are returned per request or job. If you set this field in an InspectContentRequest, the resulting maximum value is the value that you set or 3,000, whichever is lower. This value isn't a hard limit. If an inspection reaches this limit, the inspection ends gradually, not abruptly. Therefore, the actual number of findings that Cloud DLP returns can be multiple times higher than this value.
- max
Findings GooglePer Info Type Privacy Dlp V2Info Type Limit Response[] - Configuration of findings limit given for specified infoTypes.
- max
Findings numberPer Item - Max number of findings that are returned for each item scanned. When set within an InspectContentRequest, this field is ignored. This value isn't a hard limit. If the number of findings for an item reaches this limit, the inspection of that item ends gradually, not abruptly. Therefore, the actual number of findings that Cloud DLP returns for the item can be multiple times higher than this value.
- max
Findings numberPer Request - Max number of findings that are returned per request or job. If you set this field in an InspectContentRequest, the resulting maximum value is the value that you set or 3,000, whichever is lower. This value isn't a hard limit. If an inspection reaches this limit, the inspection ends gradually, not abruptly. Therefore, the actual number of findings that Cloud DLP returns can be multiple times higher than this value.
- max_
findings_ Sequence[Googleper_ info_ type Privacy Dlp V2Info Type Limit Response] - Configuration of findings limit given for specified infoTypes.
- max_
findings_ intper_ item - Max number of findings that are returned for each item scanned. When set within an InspectContentRequest, this field is ignored. This value isn't a hard limit. If the number of findings for an item reaches this limit, the inspection of that item ends gradually, not abruptly. Therefore, the actual number of findings that Cloud DLP returns for the item can be multiple times higher than this value.
- max_
findings_ intper_ request - Max number of findings that are returned per request or job. If you set this field in an InspectContentRequest, the resulting maximum value is the value that you set or 3,000, whichever is lower. This value isn't a hard limit. If an inspection reaches this limit, the inspection ends gradually, not abruptly. Therefore, the actual number of findings that Cloud DLP returns can be multiple times higher than this value.
- max
Findings List<Property Map>Per Info Type - Configuration of findings limit given for specified infoTypes.
- max
Findings NumberPer Item - Max number of findings that are returned for each item scanned. When set within an InspectContentRequest, this field is ignored. This value isn't a hard limit. If the number of findings for an item reaches this limit, the inspection of that item ends gradually, not abruptly. Therefore, the actual number of findings that Cloud DLP returns for the item can be multiple times higher than this value.
- max
Findings NumberPer Request - Max number of findings that are returned per request or job. If you set this field in an InspectContentRequest, the resulting maximum value is the value that you set or 3,000, whichever is lower. This value isn't a hard limit. If an inspection reaches this limit, the inspection ends gradually, not abruptly. Therefore, the actual number of findings that Cloud DLP returns can be multiple times higher than this value.
GooglePrivacyDlpV2FixedSizeBucketingConfigResponse, GooglePrivacyDlpV2FixedSizeBucketingConfigResponseArgs
- Bucket
Size double - Size of each bucket (except for minimum and maximum buckets). So if
lower_bound= 10,upper_bound= 89, andbucket_size= 10, then the following buckets would be used: -10, 10-20, 20-30, 30-40, 40-50, 50-60, 60-70, 70-80, 80-89, 89+. Precision up to 2 decimals works. - Lower
Bound Pulumi.Google Native. DLP. V2. Inputs. Google Privacy Dlp V2Value Response - Lower bound value of buckets. All values less than
lower_boundare grouped together into a single bucket; for example iflower_bound= 10, then all values less than 10 are replaced with the value "-10". - Upper
Bound Pulumi.Google Native. DLP. V2. Inputs. Google Privacy Dlp V2Value Response - Upper bound value of buckets. All values greater than upper_bound are grouped together into a single bucket; for example if
upper_bound= 89, then all values greater than 89 are replaced with the value "89+".
- Bucket
Size float64 - Size of each bucket (except for minimum and maximum buckets). So if
lower_bound= 10,upper_bound= 89, andbucket_size= 10, then the following buckets would be used: -10, 10-20, 20-30, 30-40, 40-50, 50-60, 60-70, 70-80, 80-89, 89+. Precision up to 2 decimals works. - Lower
Bound GooglePrivacy Dlp V2Value Response - Lower bound value of buckets. All values less than
lower_boundare grouped together into a single bucket; for example iflower_bound= 10, then all values less than 10 are replaced with the value "-10". - Upper
Bound GooglePrivacy Dlp V2Value Response - Upper bound value of buckets. All values greater than upper_bound are grouped together into a single bucket; for example if
upper_bound= 89, then all values greater than 89 are replaced with the value "89+".
- bucket
Size Double - Size of each bucket (except for minimum and maximum buckets). So if
lower_bound= 10,upper_bound= 89, andbucket_size= 10, then the following buckets would be used: -10, 10-20, 20-30, 30-40, 40-50, 50-60, 60-70, 70-80, 80-89, 89+. Precision up to 2 decimals works. - lower
Bound GooglePrivacy Dlp V2Value Response - Lower bound value of buckets. All values less than
lower_boundare grouped together into a single bucket; for example iflower_bound= 10, then all values less than 10 are replaced with the value "-10". - upper
Bound GooglePrivacy Dlp V2Value Response - Upper bound value of buckets. All values greater than upper_bound are grouped together into a single bucket; for example if
upper_bound= 89, then all values greater than 89 are replaced with the value "89+".
- bucket
Size number - Size of each bucket (except for minimum and maximum buckets). So if
lower_bound= 10,upper_bound= 89, andbucket_size= 10, then the following buckets would be used: -10, 10-20, 20-30, 30-40, 40-50, 50-60, 60-70, 70-80, 80-89, 89+. Precision up to 2 decimals works. - lower
Bound GooglePrivacy Dlp V2Value Response - Lower bound value of buckets. All values less than
lower_boundare grouped together into a single bucket; for example iflower_bound= 10, then all values less than 10 are replaced with the value "-10". - upper
Bound GooglePrivacy Dlp V2Value Response - Upper bound value of buckets. All values greater than upper_bound are grouped together into a single bucket; for example if
upper_bound= 89, then all values greater than 89 are replaced with the value "89+".
- bucket_
size float - Size of each bucket (except for minimum and maximum buckets). So if
lower_bound= 10,upper_bound= 89, andbucket_size= 10, then the following buckets would be used: -10, 10-20, 20-30, 30-40, 40-50, 50-60, 60-70, 70-80, 80-89, 89+. Precision up to 2 decimals works. - lower_
bound GooglePrivacy Dlp V2Value Response - Lower bound value of buckets. All values less than
lower_boundare grouped together into a single bucket; for example iflower_bound= 10, then all values less than 10 are replaced with the value "-10". - upper_
bound GooglePrivacy Dlp V2Value Response - Upper bound value of buckets. All values greater than upper_bound are grouped together into a single bucket; for example if
upper_bound= 89, then all values greater than 89 are replaced with the value "89+".
- bucket
Size Number - Size of each bucket (except for minimum and maximum buckets). So if
lower_bound= 10,upper_bound= 89, andbucket_size= 10, then the following buckets would be used: -10, 10-20, 20-30, 30-40, 40-50, 50-60, 60-70, 70-80, 80-89, 89+. Precision up to 2 decimals works. - lower
Bound Property Map - Lower bound value of buckets. All values less than
lower_boundare grouped together into a single bucket; for example iflower_bound= 10, then all values less than 10 are replaced with the value "-10". - upper
Bound Property Map - Upper bound value of buckets. All values greater than upper_bound are grouped together into a single bucket; for example if
upper_bound= 89, then all values greater than 89 are replaced with the value "89+".
GooglePrivacyDlpV2HotwordRule, GooglePrivacyDlpV2HotwordRuleArgs
- Hotword
Regex Pulumi.Google Native. DLP. V2. Inputs. Google Privacy Dlp V2Regex - Regular expression pattern defining what qualifies as a hotword.
- Likelihood
Adjustment Pulumi.Google Native. DLP. V2. Inputs. Google Privacy Dlp V2Likelihood Adjustment - Likelihood adjustment to apply to all matching findings.
- Proximity
Pulumi.
Google Native. DLP. V2. Inputs. Google Privacy Dlp V2Proximity - Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The finding itself will be included in the window, so that hotwords can be used to match substrings of the finding itself. Suppose you want Cloud DLP to promote the likelihood of the phone number regex "(\d{3}) \d{3}-\d{4}" if the area code is known to be the area code of a company's office. In this case, use the hotword regex "(xxx)", where "xxx" is the area code in question. For tabular data, if you want to modify the likelihood of an entire column of findngs, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values).
- Hotword
Regex GooglePrivacy Dlp V2Regex - Regular expression pattern defining what qualifies as a hotword.
- Likelihood
Adjustment GooglePrivacy Dlp V2Likelihood Adjustment - Likelihood adjustment to apply to all matching findings.
- Proximity
Google
Privacy Dlp V2Proximity - Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The finding itself will be included in the window, so that hotwords can be used to match substrings of the finding itself. Suppose you want Cloud DLP to promote the likelihood of the phone number regex "(\d{3}) \d{3}-\d{4}" if the area code is known to be the area code of a company's office. In this case, use the hotword regex "(xxx)", where "xxx" is the area code in question. For tabular data, if you want to modify the likelihood of an entire column of findngs, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values).
- hotword
Regex GooglePrivacy Dlp V2Regex - Regular expression pattern defining what qualifies as a hotword.
- likelihood
Adjustment GooglePrivacy Dlp V2Likelihood Adjustment - Likelihood adjustment to apply to all matching findings.
- proximity
Google
Privacy Dlp V2Proximity - Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The finding itself will be included in the window, so that hotwords can be used to match substrings of the finding itself. Suppose you want Cloud DLP to promote the likelihood of the phone number regex "(\d{3}) \d{3}-\d{4}" if the area code is known to be the area code of a company's office. In this case, use the hotword regex "(xxx)", where "xxx" is the area code in question. For tabular data, if you want to modify the likelihood of an entire column of findngs, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values).
- hotword
Regex GooglePrivacy Dlp V2Regex - Regular expression pattern defining what qualifies as a hotword.
- likelihood
Adjustment GooglePrivacy Dlp V2Likelihood Adjustment - Likelihood adjustment to apply to all matching findings.
- proximity
Google
Privacy Dlp V2Proximity - Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The finding itself will be included in the window, so that hotwords can be used to match substrings of the finding itself. Suppose you want Cloud DLP to promote the likelihood of the phone number regex "(\d{3}) \d{3}-\d{4}" if the area code is known to be the area code of a company's office. In this case, use the hotword regex "(xxx)", where "xxx" is the area code in question. For tabular data, if you want to modify the likelihood of an entire column of findngs, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values).
- hotword_
regex GooglePrivacy Dlp V2Regex - Regular expression pattern defining what qualifies as a hotword.
- likelihood_
adjustment GooglePrivacy Dlp V2Likelihood Adjustment - Likelihood adjustment to apply to all matching findings.
- proximity
Google
Privacy Dlp V2Proximity - Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The finding itself will be included in the window, so that hotwords can be used to match substrings of the finding itself. Suppose you want Cloud DLP to promote the likelihood of the phone number regex "(\d{3}) \d{3}-\d{4}" if the area code is known to be the area code of a company's office. In this case, use the hotword regex "(xxx)", where "xxx" is the area code in question. For tabular data, if you want to modify the likelihood of an entire column of findngs, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values).
- hotword
Regex Property Map - Regular expression pattern defining what qualifies as a hotword.
- likelihood
Adjustment Property Map - Likelihood adjustment to apply to all matching findings.
- proximity Property Map
- Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The finding itself will be included in the window, so that hotwords can be used to match substrings of the finding itself. Suppose you want Cloud DLP to promote the likelihood of the phone number regex "(\d{3}) \d{3}-\d{4}" if the area code is known to be the area code of a company's office. In this case, use the hotword regex "(xxx)", where "xxx" is the area code in question. For tabular data, if you want to modify the likelihood of an entire column of findngs, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values).
GooglePrivacyDlpV2HotwordRuleResponse, GooglePrivacyDlpV2HotwordRuleResponseArgs
- Hotword
Regex Pulumi.Google Native. DLP. V2. Inputs. Google Privacy Dlp V2Regex Response - Regular expression pattern defining what qualifies as a hotword.
- Likelihood
Adjustment Pulumi.Google Native. DLP. V2. Inputs. Google Privacy Dlp V2Likelihood Adjustment Response - Likelihood adjustment to apply to all matching findings.
- Proximity
Pulumi.
Google Native. DLP. V2. Inputs. Google Privacy Dlp V2Proximity Response - Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The finding itself will be included in the window, so that hotwords can be used to match substrings of the finding itself. Suppose you want Cloud DLP to promote the likelihood of the phone number regex "(\d{3}) \d{3}-\d{4}" if the area code is known to be the area code of a company's office. In this case, use the hotword regex "(xxx)", where "xxx" is the area code in question. For tabular data, if you want to modify the likelihood of an entire column of findngs, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values).
- Hotword
Regex GooglePrivacy Dlp V2Regex Response - Regular expression pattern defining what qualifies as a hotword.
- Likelihood
Adjustment GooglePrivacy Dlp V2Likelihood Adjustment Response - Likelihood adjustment to apply to all matching findings.
- Proximity
Google
Privacy Dlp V2Proximity Response - Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The finding itself will be included in the window, so that hotwords can be used to match substrings of the finding itself. Suppose you want Cloud DLP to promote the likelihood of the phone number regex "(\d{3}) \d{3}-\d{4}" if the area code is known to be the area code of a company's office. In this case, use the hotword regex "(xxx)", where "xxx" is the area code in question. For tabular data, if you want to modify the likelihood of an entire column of findngs, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values).
- hotword
Regex GooglePrivacy Dlp V2Regex Response - Regular expression pattern defining what qualifies as a hotword.
- likelihood
Adjustment GooglePrivacy Dlp V2Likelihood Adjustment Response - Likelihood adjustment to apply to all matching findings.
- proximity
Google
Privacy Dlp V2Proximity Response - Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The finding itself will be included in the window, so that hotwords can be used to match substrings of the finding itself. Suppose you want Cloud DLP to promote the likelihood of the phone number regex "(\d{3}) \d{3}-\d{4}" if the area code is known to be the area code of a company's office. In this case, use the hotword regex "(xxx)", where "xxx" is the area code in question. For tabular data, if you want to modify the likelihood of an entire column of findngs, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values).
- hotword
Regex GooglePrivacy Dlp V2Regex Response - Regular expression pattern defining what qualifies as a hotword.
- likelihood
Adjustment GooglePrivacy Dlp V2Likelihood Adjustment Response - Likelihood adjustment to apply to all matching findings.
- proximity
Google
Privacy Dlp V2Proximity Response - Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The finding itself will be included in the window, so that hotwords can be used to match substrings of the finding itself. Suppose you want Cloud DLP to promote the likelihood of the phone number regex "(\d{3}) \d{3}-\d{4}" if the area code is known to be the area code of a company's office. In this case, use the hotword regex "(xxx)", where "xxx" is the area code in question. For tabular data, if you want to modify the likelihood of an entire column of findngs, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values).
- hotword_
regex GooglePrivacy Dlp V2Regex Response - Regular expression pattern defining what qualifies as a hotword.
- likelihood_
adjustment GooglePrivacy Dlp V2Likelihood Adjustment Response - Likelihood adjustment to apply to all matching findings.
- proximity
Google
Privacy Dlp V2Proximity Response - Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The finding itself will be included in the window, so that hotwords can be used to match substrings of the finding itself. Suppose you want Cloud DLP to promote the likelihood of the phone number regex "(\d{3}) \d{3}-\d{4}" if the area code is known to be the area code of a company's office. In this case, use the hotword regex "(xxx)", where "xxx" is the area code in question. For tabular data, if you want to modify the likelihood of an entire column of findngs, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values).
- hotword
Regex Property Map - Regular expression pattern defining what qualifies as a hotword.
- likelihood
Adjustment Property Map - Likelihood adjustment to apply to all matching findings.
- proximity Property Map
- Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The finding itself will be included in the window, so that hotwords can be used to match substrings of the finding itself. Suppose you want Cloud DLP to promote the likelihood of the phone number regex "(\d{3}) \d{3}-\d{4}" if the area code is known to be the area code of a company's office. In this case, use the hotword regex "(xxx)", where "xxx" is the area code in question. For tabular data, if you want to modify the likelihood of an entire column of findngs, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values).
GooglePrivacyDlpV2HybridInspectStatisticsResponse, GooglePrivacyDlpV2HybridInspectStatisticsResponseArgs
- Aborted
Count string - The number of hybrid inspection requests aborted because the job ran out of quota or was ended before they could be processed.
- Pending
Count string - The number of hybrid requests currently being processed. Only populated when called via method
getDlpJob. A burst of traffic may cause hybrid inspect requests to be enqueued. Processing will take place as quickly as possible, but resource limitations may impact how long a request is enqueued for. - Processed
Count string - The number of hybrid inspection requests processed within this job.
- Aborted
Count string - The number of hybrid inspection requests aborted because the job ran out of quota or was ended before they could be processed.
- Pending
Count string - The number of hybrid requests currently being processed. Only populated when called via method
getDlpJob. A burst of traffic may cause hybrid inspect requests to be enqueued. Processing will take place as quickly as possible, but resource limitations may impact how long a request is enqueued for. - Processed
Count string - The number of hybrid inspection requests processed within this job.
- aborted
Count String - The number of hybrid inspection requests aborted because the job ran out of quota or was ended before they could be processed.
- pending
Count String - The number of hybrid requests currently being processed. Only populated when called via method
getDlpJob. A burst of traffic may cause hybrid inspect requests to be enqueued. Processing will take place as quickly as possible, but resource limitations may impact how long a request is enqueued for. - processed
Count String - The number of hybrid inspection requests processed within this job.
- aborted
Count string - The number of hybrid inspection requests aborted because the job ran out of quota or was ended before they could be processed.
- pending
Count string - The number of hybrid requests currently being processed. Only populated when called via method
getDlpJob. A burst of traffic may cause hybrid inspect requests to be enqueued. Processing will take place as quickly as possible, but resource limitations may impact how long a request is enqueued for. - processed
Count string - The number of hybrid inspection requests processed within this job.
- aborted_
count str - The number of hybrid inspection requests aborted because the job ran out of quota or was ended before they could be processed.
- pending_
count str - The number of hybrid requests currently being processed. Only populated when called via method
getDlpJob. A burst of traffic may cause hybrid inspect requests to be enqueued. Processing will take place as quickly as possible, but resource limitations may impact how long a request is enqueued for. - processed_
count str - The number of hybrid inspection requests processed within this job.
- aborted
Count String - The number of hybrid inspection requests aborted because the job ran out of quota or was ended before they could be processed.
- pending
Count String - The number of hybrid requests currently being processed. Only populated when called via method
getDlpJob. A burst of traffic may cause hybrid inspect requests to be enqueued. Processing will take place as quickly as possible, but resource limitations may impact how long a request is enqueued for. - processed
Count String - The number of hybrid inspection requests processed within this job.
GooglePrivacyDlpV2HybridOptions, GooglePrivacyDlpV2HybridOptionsArgs
- Description string
- A short description of where the data is coming from. Will be stored once in the job. 256 max length.
- Labels Dictionary<string, string>
- To organize findings, these labels will be added to each finding. Label keys must be between 1 and 63 characters long and must conform to the following regular expression:
[a-z]([-a-z0-9]*[a-z0-9])?. Label values must be between 0 and 63 characters long and must conform to the regular expression([a-z]([-a-z0-9]*[a-z0-9])?)?. No more than 10 labels can be associated with a given finding. Examples: *"environment" : "production"*"pipeline" : "etl" - Required
Finding List<string>Label Keys - These are labels that each inspection request must include within their 'finding_labels' map. Request may contain others, but any missing one of these will be rejected. Label keys must be between 1 and 63 characters long and must conform to the following regular expression:
[a-z]([-a-z0-9]*[a-z0-9])?. No more than 10 keys can be required. - Table
Options Pulumi.Google Native. DLP. V2. Inputs. Google Privacy Dlp V2Table Options - If the container is a table, additional information to make findings meaningful such as the columns that are primary keys.
- Description string
- A short description of where the data is coming from. Will be stored once in the job. 256 max length.
- Labels map[string]string
- To organize findings, these labels will be added to each finding. Label keys must be between 1 and 63 characters long and must conform to the following regular expression:
[a-z]([-a-z0-9]*[a-z0-9])?. Label values must be between 0 and 63 characters long and must conform to the regular expression([a-z]([-a-z0-9]*[a-z0-9])?)?. No more than 10 labels can be associated with a given finding. Examples: *"environment" : "production"*"pipeline" : "etl" - Required
Finding []stringLabel Keys - These are labels that each inspection request must include within their 'finding_labels' map. Request may contain others, but any missing one of these will be rejected. Label keys must be between 1 and 63 characters long and must conform to the following regular expression:
[a-z]([-a-z0-9]*[a-z0-9])?. No more than 10 keys can be required. - Table
Options GooglePrivacy Dlp V2Table Options - If the container is a table, additional information to make findings meaningful such as the columns that are primary keys.
- description String
- A short description of where the data is coming from. Will be stored once in the job. 256 max length.
- labels Map<String,String>
- To organize findings, these labels will be added to each finding. Label keys must be between 1 and 63 characters long and must conform to the following regular expression:
[a-z]([-a-z0-9]*[a-z0-9])?. Label values must be between 0 and 63 characters long and must conform to the regular expression([a-z]([-a-z0-9]*[a-z0-9])?)?. No more than 10 labels can be associated with a given finding. Examples: *"environment" : "production"*"pipeline" : "etl" - required
Finding List<String>Label Keys - These are labels that each inspection request must include within their 'finding_labels' map. Request may contain others, but any missing one of these will be rejected. Label keys must be between 1 and 63 characters long and must conform to the following regular expression:
[a-z]([-a-z0-9]*[a-z0-9])?. No more than 10 keys can be required. - table
Options GooglePrivacy Dlp V2Table Options - If the container is a table, additional information to make findings meaningful such as the columns that are primary keys.
- description string
- A short description of where the data is coming from. Will be stored once in the job. 256 max length.
- labels {[key: string]: string}
- To organize findings, these labels will be added to each finding. Label keys must be between 1 and 63 characters long and must conform to the following regular expression:
[a-z]([-a-z0-9]*[a-z0-9])?. Label values must be between 0 and 63 characters long and must conform to the regular expression([a-z]([-a-z0-9]*[a-z0-9])?)?. No more than 10 labels can be associated with a given finding. Examples: *"environment" : "production"*"pipeline" : "etl" - required
Finding string[]Label Keys - These are labels that each inspection request must include within their 'finding_labels' map. Request may contain others, but any missing one of these will be rejected. Label keys must be between 1 and 63 characters long and must conform to the following regular expression:
[a-z]([-a-z0-9]*[a-z0-9])?. No more than 10 keys can be required. - table
Options GooglePrivacy Dlp V2Table Options - If the container is a table, additional information to make findings meaningful such as the columns that are primary keys.
- description str
- A short description of where the data is coming from. Will be stored once in the job. 256 max length.
- labels Mapping[str, str]
- To organize findings, these labels will be added to each finding. Label keys must be between 1 and 63 characters long and must conform to the following regular expression:
[a-z]([-a-z0-9]*[a-z0-9])?. Label values must be between 0 and 63 characters long and must conform to the regular expression([a-z]([-a-z0-9]*[a-z0-9])?)?. No more than 10 labels can be associated with a given finding. Examples: *"environment" : "production"*"pipeline" : "etl" - required_
finding_ Sequence[str]label_ keys - These are labels that each inspection request must include within their 'finding_labels' map. Request may contain others, but any missing one of these will be rejected. Label keys must be between 1 and 63 characters long and must conform to the following regular expression:
[a-z]([-a-z0-9]*[a-z0-9])?. No more than 10 keys can be required. - table_
options GooglePrivacy Dlp V2Table Options - If the container is a table, additional information to make findings meaningful such as the columns that are primary keys.
- description String
- A short description of where the data is coming from. Will be stored once in the job. 256 max length.
- labels Map<String>
- To organize findings, these labels will be added to each finding. Label keys must be between 1 and 63 characters long and must conform to the following regular expression:
[a-z]([-a-z0-9]*[a-z0-9])?. Label values must be between 0 and 63 characters long and must conform to the regular expression([a-z]([-a-z0-9]*[a-z0-9])?)?. No more than 10 labels can be associated with a given finding. Examples: *"environment" : "production"*"pipeline" : "etl" - required
Finding List<String>Label Keys - These are labels that each inspection request must include within their 'finding_labels' map. Request may contain others, but any missing one of these will be rejected. Label keys must be between 1 and 63 characters long and must conform to the following regular expression:
[a-z]([-a-z0-9]*[a-z0-9])?. No more than 10 keys can be required. - table
Options Property Map - If the container is a table, additional information to make findings meaningful such as the columns that are primary keys.
GooglePrivacyDlpV2HybridOptionsResponse, GooglePrivacyDlpV2HybridOptionsResponseArgs
- Description string
- A short description of where the data is coming from. Will be stored once in the job. 256 max length.
- Labels Dictionary<string, string>
- To organize findings, these labels will be added to each finding. Label keys must be between 1 and 63 characters long and must conform to the following regular expression:
[a-z]([-a-z0-9]*[a-z0-9])?. Label values must be between 0 and 63 characters long and must conform to the regular expression([a-z]([-a-z0-9]*[a-z0-9])?)?. No more than 10 labels can be associated with a given finding. Examples: *"environment" : "production"*"pipeline" : "etl" - Required
Finding List<string>Label Keys - These are labels that each inspection request must include within their 'finding_labels' map. Request may contain others, but any missing one of these will be rejected. Label keys must be between 1 and 63 characters long and must conform to the following regular expression:
[a-z]([-a-z0-9]*[a-z0-9])?. No more than 10 keys can be required. - Table
Options Pulumi.Google Native. DLP. V2. Inputs. Google Privacy Dlp V2Table Options Response - If the container is a table, additional information to make findings meaningful such as the columns that are primary keys.
- Description string
- A short description of where the data is coming from. Will be stored once in the job. 256 max length.
- Labels map[string]string
- To organize findings, these labels will be added to each finding. Label keys must be between 1 and 63 characters long and must conform to the following regular expression:
[a-z]([-a-z0-9]*[a-z0-9])?. Label values must be between 0 and 63 characters long and must conform to the regular expression([a-z]([-a-z0-9]*[a-z0-9])?)?. No more than 10 labels can be associated with a given finding. Examples: *"environment" : "production"*"pipeline" : "etl" - Required
Finding []stringLabel Keys - These are labels that each inspection request must include within their 'finding_labels' map. Request may contain others, but any missing one of these will be rejected. Label keys must be between 1 and 63 characters long and must conform to the following regular expression:
[a-z]([-a-z0-9]*[a-z0-9])?. No more than 10 keys can be required. - Table
Options GooglePrivacy Dlp V2Table Options Response - If the container is a table, additional information to make findings meaningful such as the columns that are primary keys.
- description String
- A short description of where the data is coming from. Will be stored once in the job. 256 max length.
- labels Map<String,String>
- To organize findings, these labels will be added to each finding. Label keys must be between 1 and 63 characters long and must conform to the following regular expression:
[a-z]([-a-z0-9]*[a-z0-9])?. Label values must be between 0 and 63 characters long and must conform to the regular expression([a-z]([-a-z0-9]*[a-z0-9])?)?. No more than 10 labels can be associated with a given finding. Examples: *"environment" : "production"*"pipeline" : "etl" - required
Finding List<String>Label Keys - These are labels that each inspection request must include within their 'finding_labels' map. Request may contain others, but any missing one of these will be rejected. Label keys must be between 1 and 63 characters long and must conform to the following regular expression:
[a-z]([-a-z0-9]*[a-z0-9])?. No more than 10 keys can be required. - table
Options GooglePrivacy Dlp V2Table Options Response - If the container is a table, additional information to make findings meaningful such as the columns that are primary keys.
- description string
- A short description of where the data is coming from. Will be stored once in the job. 256 max length.
- labels {[key: string]: string}
- To organize findings, these labels will be added to each finding. Label keys must be between 1 and 63 characters long and must conform to the following regular expression:
[a-z]([-a-z0-9]*[a-z0-9])?. Label values must be between 0 and 63 characters long and must conform to the regular expression([a-z]([-a-z0-9]*[a-z0-9])?)?. No more than 10 labels can be associated with a given finding. Examples: *"environment" : "production"*"pipeline" : "etl" - required
Finding string[]Label Keys - These are labels that each inspection request must include within their 'finding_labels' map. Request may contain others, but any missing one of these will be rejected. Label keys must be between 1 and 63 characters long and must conform to the following regular expression:
[a-z]([-a-z0-9]*[a-z0-9])?. No more than 10 keys can be required. - table
Options GooglePrivacy Dlp V2Table Options Response - If the container is a table, additional information to make findings meaningful such as the columns that are primary keys.
- description str
- A short description of where the data is coming from. Will be stored once in the job. 256 max length.
- labels Mapping[str, str]
- To organize findings, these labels will be added to each finding. Label keys must be between 1 and 63 characters long and must conform to the following regular expression:
[a-z]([-a-z0-9]*[a-z0-9])?. Label values must be between 0 and 63 characters long and must conform to the regular expression([a-z]([-a-z0-9]*[a-z0-9])?)?. No more than 10 labels can be associated with a given finding. Examples: *"environment" : "production"*"pipeline" : "etl" - required_
finding_ Sequence[str]label_ keys - These are labels that each inspection request must include within their 'finding_labels' map. Request may contain others, but any missing one of these will be rejected. Label keys must be between 1 and 63 characters long and must conform to the following regular expression:
[a-z]([-a-z0-9]*[a-z0-9])?. No more than 10 keys can be required. - table_
options GooglePrivacy Dlp V2Table Options Response - If the container is a table, additional information to make findings meaningful such as the columns that are primary keys.
- description String
- A short description of where the data is coming from. Will be stored once in the job. 256 max length.
- labels Map<String>
- To organize findings, these labels will be added to each finding. Label keys must be between 1 and 63 characters long and must conform to the following regular expression:
[a-z]([-a-z0-9]*[a-z0-9])?. Label values must be between 0 and 63 characters long and must conform to the regular expression([a-z]([-a-z0-9]*[a-z0-9])?)?. No more than 10 labels can be associated with a given finding. Examples: *"environment" : "production"*"pipeline" : "etl" - required
Finding List<String>Label Keys - These are labels that each inspection request must include within their 'finding_labels' map. Request may contain others, but any missing one of these will be rejected. Label keys must be between 1 and 63 characters long and must conform to the following regular expression:
[a-z]([-a-z0-9]*[a-z0-9])?. No more than 10 keys can be required. - table
Options Property Map - If the container is a table, additional information to make findings meaningful such as the columns that are primary keys.
GooglePrivacyDlpV2ImageTransformationResponse, GooglePrivacyDlpV2ImageTransformationResponseArgs
- All
Info Pulumi.Types Google Native. DLP. V2. Inputs. Google Privacy Dlp V2All Info Types Response - Apply transformation to all findings not specified in other ImageTransformation's selected_info_types. Only one instance is allowed within the ImageTransformations message.
- All
Text Pulumi.Google Native. DLP. V2. Inputs. Google Privacy Dlp V2All Text Response - Apply transformation to all text that doesn't match an infoType. Only one instance is allowed within the ImageTransformations message.
- Redaction
Color Pulumi.Google Native. DLP. V2. Inputs. Google Privacy Dlp V2Color Response - The color to use when redacting content from an image. If not specified, the default is black.
- Selected
Info Pulumi.Types Google Native. DLP. V2. Inputs. Google Privacy Dlp V2Selected Info Types Response - Apply transformation to the selected info_types.
- All
Info GoogleTypes Privacy Dlp V2All Info Types Response - Apply transformation to all findings not specified in other ImageTransformation's selected_info_types. Only one instance is allowed within the ImageTransformations message.
- All
Text GooglePrivacy Dlp V2All Text Response - Apply transformation to all text that doesn't match an infoType. Only one instance is allowed within the ImageTransformations message.
- Redaction
Color GooglePrivacy Dlp V2Color Response - The color to use when redacting content from an image. If not specified, the default is black.
- Selected
Info GoogleTypes Privacy Dlp V2Selected Info Types Response - Apply transformation to the selected info_types.
- all
Info GoogleTypes Privacy Dlp V2All Info Types Response - Apply transformation to all findings not specified in other ImageTransformation's selected_info_types. Only one instance is allowed within the ImageTransformations message.
- all
Text GooglePrivacy Dlp V2All Text Response - Apply transformation to all text that doesn't match an infoType. Only one instance is allowed within the ImageTransformations message.
- redaction
Color GooglePrivacy Dlp V2Color Response - The color to use when redacting content from an image. If not specified, the default is black.
- selected
Info GoogleTypes Privacy Dlp V2Selected Info Types Response - Apply transformation to the selected info_types.
- all
Info GoogleTypes Privacy Dlp V2All Info Types Response - Apply transformation to all findings not specified in other ImageTransformation's selected_info_types. Only one instance is allowed within the ImageTransformations message.
- all
Text GooglePrivacy Dlp V2All Text Response - Apply transformation to all text that doesn't match an infoType. Only one instance is allowed within the ImageTransformations message.
- redaction
Color GooglePrivacy Dlp V2Color Response - The color to use when redacting content from an image. If not specified, the default is black.
- selected
Info GoogleTypes Privacy Dlp V2Selected Info Types Response - Apply transformation to the selected info_types.
- all_
info_ Googletypes Privacy Dlp V2All Info Types Response - Apply transformation to all findings not specified in other ImageTransformation's selected_info_types. Only one instance is allowed within the ImageTransformations message.
- all_
text GooglePrivacy Dlp V2All Text Response - Apply transformation to all text that doesn't match an infoType. Only one instance is allowed within the ImageTransformations message.
- redaction_
color GooglePrivacy Dlp V2Color Response - The color to use when redacting content from an image. If not specified, the default is black.
- selected_
info_ Googletypes Privacy Dlp V2Selected Info Types Response - Apply transformation to the selected info_types.
- all
Info Property MapTypes - Apply transformation to all findings not specified in other ImageTransformation's selected_info_types. Only one instance is allowed within the ImageTransformations message.
- all
Text Property Map - Apply transformation to all text that doesn't match an infoType. Only one instance is allowed within the ImageTransformations message.
- redaction
Color Property Map - The color to use when redacting content from an image. If not specified, the default is black.
- selected
Info Property MapTypes - Apply transformation to the selected info_types.
GooglePrivacyDlpV2ImageTransformationsResponse, GooglePrivacyDlpV2ImageTransformationsResponseArgs
GooglePrivacyDlpV2InfoType, GooglePrivacyDlpV2InfoTypeArgs
- Name string
- Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern
[A-Za-z0-9$_-]{1,64}. - Sensitivity
Score Pulumi.Google Native. DLP. V2. Inputs. Google Privacy Dlp V2Sensitivity Score - Optional custom sensitivity for this InfoType. This only applies to data profiling.
- Version string
- Optional version name for this InfoType.
- Name string
- Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern
[A-Za-z0-9$_-]{1,64}. - Sensitivity
Score GooglePrivacy Dlp V2Sensitivity Score - Optional custom sensitivity for this InfoType. This only applies to data profiling.
- Version string
- Optional version name for this InfoType.
- name String
- Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern
[A-Za-z0-9$_-]{1,64}. - sensitivity
Score GooglePrivacy Dlp V2Sensitivity Score - Optional custom sensitivity for this InfoType. This only applies to data profiling.
- version String
- Optional version name for this InfoType.
- name string
- Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern
[A-Za-z0-9$_-]{1,64}. - sensitivity
Score GooglePrivacy Dlp V2Sensitivity Score - Optional custom sensitivity for this InfoType. This only applies to data profiling.
- version string
- Optional version name for this InfoType.
- name str
- Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern
[A-Za-z0-9$_-]{1,64}. - sensitivity_
score GooglePrivacy Dlp V2Sensitivity Score - Optional custom sensitivity for this InfoType. This only applies to data profiling.
- version str
- Optional version name for this InfoType.
- name String
- Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern
[A-Za-z0-9$_-]{1,64}. - sensitivity
Score Property Map - Optional custom sensitivity for this InfoType. This only applies to data profiling.
- version String
- Optional version name for this InfoType.
GooglePrivacyDlpV2InfoTypeLikelihood, GooglePrivacyDlpV2InfoTypeLikelihoodArgs
- Info
Type Pulumi.Google Native. DLP. V2. Inputs. Google Privacy Dlp V2Info Type - Type of information the likelihood threshold applies to. Only one likelihood per info_type should be provided. If InfoTypeLikelihood does not have an info_type, the configuration fails.
- Min
Likelihood Pulumi.Google Native. DLP. V2. Google Privacy Dlp V2Info Type Likelihood Min Likelihood - Only returns findings equal to or above this threshold. This field is required or else the configuration fails.
- Info
Type GooglePrivacy Dlp V2Info Type - Type of information the likelihood threshold applies to. Only one likelihood per info_type should be provided. If InfoTypeLikelihood does not have an info_type, the configuration fails.
- Min
Likelihood GooglePrivacy Dlp V2Info Type Likelihood Min Likelihood - Only returns findings equal to or above this threshold. This field is required or else the configuration fails.
- info
Type GooglePrivacy Dlp V2Info Type - Type of information the likelihood threshold applies to. Only one likelihood per info_type should be provided. If InfoTypeLikelihood does not have an info_type, the configuration fails.
- min
Likelihood GooglePrivacy Dlp V2Info Type Likelihood Min Likelihood - Only returns findings equal to or above this threshold. This field is required or else the configuration fails.
- info
Type GooglePrivacy Dlp V2Info Type - Type of information the likelihood threshold applies to. Only one likelihood per info_type should be provided. If InfoTypeLikelihood does not have an info_type, the configuration fails.
- min
Likelihood GooglePrivacy Dlp V2Info Type Likelihood Min Likelihood - Only returns findings equal to or above this threshold. This field is required or else the configuration fails.
- info_
type GooglePrivacy Dlp V2Info Type - Type of information the likelihood threshold applies to. Only one likelihood per info_type should be provided. If InfoTypeLikelihood does not have an info_type, the configuration fails.
- min_
likelihood GooglePrivacy Dlp V2Info Type Likelihood Min Likelihood - Only returns findings equal to or above this threshold. This field is required or else the configuration fails.
- info
Type Property Map - Type of information the likelihood threshold applies to. Only one likelihood per info_type should be provided. If InfoTypeLikelihood does not have an info_type, the configuration fails.
- min
Likelihood "LIKELIHOOD_UNSPECIFIED" | "VERY_UNLIKELY" | "UNLIKELY" | "POSSIBLE" | "LIKELY" | "VERY_LIKELY" - Only returns findings equal to or above this threshold. This field is required or else the configuration fails.
GooglePrivacyDlpV2InfoTypeLikelihoodMinLikelihood, GooglePrivacyDlpV2InfoTypeLikelihoodMinLikelihoodArgs
- Likelihood
Unspecified - LIKELIHOOD_UNSPECIFIEDDefault value; same as POSSIBLE.
- Very
Unlikely - VERY_UNLIKELYHighest chance of a false positive.
- Unlikely
- UNLIKELYHigh chance of a false positive.
- Possible
- POSSIBLESome matching signals. The default value.
- Likely
- LIKELYLow chance of a false positive.
- Very
Likely - VERY_LIKELYConfidence level is high. Lowest chance of a false positive.
- Google
Privacy Dlp V2Info Type Likelihood Min Likelihood Likelihood Unspecified - LIKELIHOOD_UNSPECIFIEDDefault value; same as POSSIBLE.
- Google
Privacy Dlp V2Info Type Likelihood Min Likelihood Very Unlikely - VERY_UNLIKELYHighest chance of a false positive.
- Google
Privacy Dlp V2Info Type Likelihood Min Likelihood Unlikely - UNLIKELYHigh chance of a false positive.
- Google
Privacy Dlp V2Info Type Likelihood Min Likelihood Possible - POSSIBLESome matching signals. The default value.
- Google
Privacy Dlp V2Info Type Likelihood Min Likelihood Likely - LIKELYLow chance of a false positive.
- Google
Privacy Dlp V2Info Type Likelihood Min Likelihood Very Likely - VERY_LIKELYConfidence level is high. Lowest chance of a false positive.
- Likelihood
Unspecified - LIKELIHOOD_UNSPECIFIEDDefault value; same as POSSIBLE.
- Very
Unlikely - VERY_UNLIKELYHighest chance of a false positive.
- Unlikely
- UNLIKELYHigh chance of a false positive.
- Possible
- POSSIBLESome matching signals. The default value.
- Likely
- LIKELYLow chance of a false positive.
- Very
Likely - VERY_LIKELYConfidence level is high. Lowest chance of a false positive.
- Likelihood
Unspecified - LIKELIHOOD_UNSPECIFIEDDefault value; same as POSSIBLE.
- Very
Unlikely - VERY_UNLIKELYHighest chance of a false positive.
- Unlikely
- UNLIKELYHigh chance of a false positive.
- Possible
- POSSIBLESome matching signals. The default value.
- Likely
- LIKELYLow chance of a false positive.
- Very
Likely - VERY_LIKELYConfidence level is high. Lowest chance of a false positive.
- LIKELIHOOD_UNSPECIFIED
- LIKELIHOOD_UNSPECIFIEDDefault value; same as POSSIBLE.
- VERY_UNLIKELY
- VERY_UNLIKELYHighest chance of a false positive.
- UNLIKELY
- UNLIKELYHigh chance of a false positive.
- POSSIBLE
- POSSIBLESome matching signals. The default value.
- LIKELY
- LIKELYLow chance of a false positive.
- VERY_LIKELY
- VERY_LIKELYConfidence level is high. Lowest chance of a false positive.
- "LIKELIHOOD_UNSPECIFIED"
- LIKELIHOOD_UNSPECIFIEDDefault value; same as POSSIBLE.
- "VERY_UNLIKELY"
- VERY_UNLIKELYHighest chance of a false positive.
- "UNLIKELY"
- UNLIKELYHigh chance of a false positive.
- "POSSIBLE"
- POSSIBLESome matching signals. The default value.
- "LIKELY"
- LIKELYLow chance of a false positive.
- "VERY_LIKELY"
- VERY_LIKELYConfidence level is high. Lowest chance of a false positive.
GooglePrivacyDlpV2InfoTypeLikelihoodResponse, GooglePrivacyDlpV2InfoTypeLikelihoodResponseArgs
- Info
Type Pulumi.Google Native. DLP. V2. Inputs. Google Privacy Dlp V2Info Type Response - Type of information the likelihood threshold applies to. Only one likelihood per info_type should be provided. If InfoTypeLikelihood does not have an info_type, the configuration fails.
- Min
Likelihood string - Only returns findings equal to or above this threshold. This field is required or else the configuration fails.
- Info
Type GooglePrivacy Dlp V2Info Type Response - Type of information the likelihood threshold applies to. Only one likelihood per info_type should be provided. If InfoTypeLikelihood does not have an info_type, the configuration fails.
- Min
Likelihood string - Only returns findings equal to or above this threshold. This field is required or else the configuration fails.
- info
Type GooglePrivacy Dlp V2Info Type Response - Type of information the likelihood threshold applies to. Only one likelihood per info_type should be provided. If InfoTypeLikelihood does not have an info_type, the configuration fails.
- min
Likelihood String - Only returns findings equal to or above this threshold. This field is required or else the configuration fails.
- info
Type GooglePrivacy Dlp V2Info Type Response - Type of information the likelihood threshold applies to. Only one likelihood per info_type should be provided. If InfoTypeLikelihood does not have an info_type, the configuration fails.
- min
Likelihood string - Only returns findings equal to or above this threshold. This field is required or else the configuration fails.
- info_
type GooglePrivacy Dlp V2Info Type Response - Type of information the likelihood threshold applies to. Only one likelihood per info_type should be provided. If InfoTypeLikelihood does not have an info_type, the configuration fails.
- min_
likelihood str - Only returns findings equal to or above this threshold. This field is required or else the configuration fails.
- info
Type Property Map - Type of information the likelihood threshold applies to. Only one likelihood per info_type should be provided. If InfoTypeLikelihood does not have an info_type, the configuration fails.
- min
Likelihood String - Only returns findings equal to or above this threshold. This field is required or else the configuration fails.
GooglePrivacyDlpV2InfoTypeLimit, GooglePrivacyDlpV2InfoTypeLimitArgs
- Info
Type Pulumi.Google Native. DLP. V2. Inputs. Google Privacy Dlp V2Info Type - Type of information the findings limit applies to. Only one limit per info_type should be provided. If InfoTypeLimit does not have an info_type, the DLP API applies the limit against all info_types that are found but not specified in another InfoTypeLimit.
- Max
Findings int - Max findings limit for the given infoType.
- Info
Type GooglePrivacy Dlp V2Info Type - Type of information the findings limit applies to. Only one limit per info_type should be provided. If InfoTypeLimit does not have an info_type, the DLP API applies the limit against all info_types that are found but not specified in another InfoTypeLimit.
- Max
Findings int - Max findings limit for the given infoType.
- info
Type GooglePrivacy Dlp V2Info Type - Type of information the findings limit applies to. Only one limit per info_type should be provided. If InfoTypeLimit does not have an info_type, the DLP API applies the limit against all info_types that are found but not specified in another InfoTypeLimit.
- max
Findings Integer - Max findings limit for the given infoType.
- info
Type GooglePrivacy Dlp V2Info Type - Type of information the findings limit applies to. Only one limit per info_type should be provided. If InfoTypeLimit does not have an info_type, the DLP API applies the limit against all info_types that are found but not specified in another InfoTypeLimit.
- max
Findings number - Max findings limit for the given infoType.
- info_
type GooglePrivacy Dlp V2Info Type - Type of information the findings limit applies to. Only one limit per info_type should be provided. If InfoTypeLimit does not have an info_type, the DLP API applies the limit against all info_types that are found but not specified in another InfoTypeLimit.
- max_
findings int - Max findings limit for the given infoType.
- info
Type Property Map - Type of information the findings limit applies to. Only one limit per info_type should be provided. If InfoTypeLimit does not have an info_type, the DLP API applies the limit against all info_types that are found but not specified in another InfoTypeLimit.
- max
Findings Number - Max findings limit for the given infoType.
GooglePrivacyDlpV2InfoTypeLimitResponse, GooglePrivacyDlpV2InfoTypeLimitResponseArgs
- Info
Type Pulumi.Google Native. DLP. V2. Inputs. Google Privacy Dlp V2Info Type Response - Type of information the findings limit applies to. Only one limit per info_type should be provided. If InfoTypeLimit does not have an info_type, the DLP API applies the limit against all info_types that are found but not specified in another InfoTypeLimit.
- Max
Findings int - Max findings limit for the given infoType.
- Info
Type GooglePrivacy Dlp V2Info Type Response - Type of information the findings limit applies to. Only one limit per info_type should be provided. If InfoTypeLimit does not have an info_type, the DLP API applies the limit against all info_types that are found but not specified in another InfoTypeLimit.
- Max
Findings int - Max findings limit for the given infoType.
- info
Type GooglePrivacy Dlp V2Info Type Response - Type of information the findings limit applies to. Only one limit per info_type should be provided. If InfoTypeLimit does not have an info_type, the DLP API applies the limit against all info_types that are found but not specified in another InfoTypeLimit.
- max
Findings Integer - Max findings limit for the given infoType.
- info
Type GooglePrivacy Dlp V2Info Type Response - Type of information the findings limit applies to. Only one limit per info_type should be provided. If InfoTypeLimit does not have an info_type, the DLP API applies the limit against all info_types that are found but not specified in another InfoTypeLimit.
- max
Findings number - Max findings limit for the given infoType.
- info_
type GooglePrivacy Dlp V2Info Type Response - Type of information the findings limit applies to. Only one limit per info_type should be provided. If InfoTypeLimit does not have an info_type, the DLP API applies the limit against all info_types that are found but not specified in another InfoTypeLimit.
- max_
findings int - Max findings limit for the given infoType.
- info
Type Property Map - Type of information the findings limit applies to. Only one limit per info_type should be provided. If InfoTypeLimit does not have an info_type, the DLP API applies the limit against all info_types that are found but not specified in another InfoTypeLimit.
- max
Findings Number - Max findings limit for the given infoType.
GooglePrivacyDlpV2InfoTypeResponse, GooglePrivacyDlpV2InfoTypeResponseArgs
- Name string
- Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern
[A-Za-z0-9$_-]{1,64}. - Sensitivity
Score Pulumi.Google Native. DLP. V2. Inputs. Google Privacy Dlp V2Sensitivity Score Response - Optional custom sensitivity for this InfoType. This only applies to data profiling.
- Version string
- Optional version name for this InfoType.
- Name string
- Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern
[A-Za-z0-9$_-]{1,64}. - Sensitivity
Score GooglePrivacy Dlp V2Sensitivity Score Response - Optional custom sensitivity for this InfoType. This only applies to data profiling.
- Version string
- Optional version name for this InfoType.
- name String
- Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern
[A-Za-z0-9$_-]{1,64}. - sensitivity
Score GooglePrivacy Dlp V2Sensitivity Score Response - Optional custom sensitivity for this InfoType. This only applies to data profiling.
- version String
- Optional version name for this InfoType.
- name string
- Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern
[A-Za-z0-9$_-]{1,64}. - sensitivity
Score GooglePrivacy Dlp V2Sensitivity Score Response - Optional custom sensitivity for this InfoType. This only applies to data profiling.
- version string
- Optional version name for this InfoType.
- name str
- Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern
[A-Za-z0-9$_-]{1,64}. - sensitivity_
score GooglePrivacy Dlp V2Sensitivity Score Response - Optional custom sensitivity for this InfoType. This only applies to data profiling.
- version str
- Optional version name for this InfoType.
- name String
- Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern
[A-Za-z0-9$_-]{1,64}. - sensitivity
Score Property Map - Optional custom sensitivity for this InfoType. This only applies to data profiling.
- version String
- Optional version name for this InfoType.
GooglePrivacyDlpV2InfoTypeStatsResponse, GooglePrivacyDlpV2InfoTypeStatsResponseArgs
- Count string
- Number of findings for this infoType.
- Info
Type Pulumi.Google Native. DLP. V2. Inputs. Google Privacy Dlp V2Info Type Response - The type of finding this stat is for.
- Count string
- Number of findings for this infoType.
- Info
Type GooglePrivacy Dlp V2Info Type Response - The type of finding this stat is for.
- count String
- Number of findings for this infoType.
- info
Type GooglePrivacy Dlp V2Info Type Response - The type of finding this stat is for.
- count string
- Number of findings for this infoType.
- info
Type GooglePrivacy Dlp V2Info Type Response - The type of finding this stat is for.
- count str
- Number of findings for this infoType.
- info_
type GooglePrivacy Dlp V2Info Type Response - The type of finding this stat is for.
- count String
- Number of findings for this infoType.
- info
Type Property Map - The type of finding this stat is for.
GooglePrivacyDlpV2InfoTypeTransformationResponse, GooglePrivacyDlpV2InfoTypeTransformationResponseArgs
- Info
Types List<Pulumi.Google Native. DLP. V2. Inputs. Google Privacy Dlp V2Info Type Response> - InfoTypes to apply the transformation to. An empty list will cause this transformation to apply to all findings that correspond to infoTypes that were requested in
InspectConfig. - Primitive
Transformation Pulumi.Google Native. DLP. V2. Inputs. Google Privacy Dlp V2Primitive Transformation Response - Primitive transformation to apply to the infoType.
- Info
Types []GooglePrivacy Dlp V2Info Type Response - InfoTypes to apply the transformation to. An empty list will cause this transformation to apply to all findings that correspond to infoTypes that were requested in
InspectConfig. - Primitive
Transformation GooglePrivacy Dlp V2Primitive Transformation Response - Primitive transformation to apply to the infoType.
- info
Types List<GooglePrivacy Dlp V2Info Type Response> - InfoTypes to apply the transformation to. An empty list will cause this transformation to apply to all findings that correspond to infoTypes that were requested in
InspectConfig. - primitive
Transformation GooglePrivacy Dlp V2Primitive Transformation Response - Primitive transformation to apply to the infoType.
- info
Types GooglePrivacy Dlp V2Info Type Response[] - InfoTypes to apply the transformation to. An empty list will cause this transformation to apply to all findings that correspond to infoTypes that were requested in
InspectConfig. - primitive
Transformation GooglePrivacy Dlp V2Primitive Transformation Response - Primitive transformation to apply to the infoType.
- info_
types Sequence[GooglePrivacy Dlp V2Info Type Response] - InfoTypes to apply the transformation to. An empty list will cause this transformation to apply to all findings that correspond to infoTypes that were requested in
InspectConfig. - primitive_
transformation GooglePrivacy Dlp V2Primitive Transformation Response - Primitive transformation to apply to the infoType.
- info
Types List<Property Map> - InfoTypes to apply the transformation to. An empty list will cause this transformation to apply to all findings that correspond to infoTypes that were requested in
InspectConfig. - primitive
Transformation Property Map - Primitive transformation to apply to the infoType.
GooglePrivacyDlpV2InfoTypeTransformationsResponse, GooglePrivacyDlpV2InfoTypeTransformationsResponseArgs
- Transformations
List<Pulumi.
Google Native. DLP. V2. Inputs. Google Privacy Dlp V2Info Type Transformation Response> - Transformation for each infoType. Cannot specify more than one for a given infoType.
- Transformations
[]Google
Privacy Dlp V2Info Type Transformation Response - Transformation for each infoType. Cannot specify more than one for a given infoType.
- transformations
List<Google
Privacy Dlp V2Info Type Transformation Response> - Transformation for each infoType. Cannot specify more than one for a given infoType.
- transformations
Google
Privacy Dlp V2Info Type Transformation Response[] - Transformation for each infoType. Cannot specify more than one for a given infoType.
- transformations
Sequence[Google
Privacy Dlp V2Info Type Transformation Response] - Transformation for each infoType. Cannot specify more than one for a given infoType.
- transformations List<Property Map>
- Transformation for each infoType. Cannot specify more than one for a given infoType.
GooglePrivacyDlpV2InspectConfig, GooglePrivacyDlpV2InspectConfigArgs
- Content
Options List<Pulumi.Google Native. DLP. V2. Google Privacy Dlp V2Inspect Config Content Options Item> - Deprecated and unused.
- Custom
Info List<Pulumi.Types Google Native. DLP. V2. Inputs. Google Privacy Dlp V2Custom Info Type> - CustomInfoTypes provided by the user. See https://cloud.google.com/dlp/docs/creating-custom-infotypes to learn more.
- Exclude
Info boolTypes - When true, excludes type information of the findings. This is not used for data profiling.
- Include
Quote bool - When true, a contextual quote from the data that triggered a finding is included in the response; see Finding.quote. This is not used for data profiling.
- Info
Types List<Pulumi.Google Native. DLP. V2. Inputs. Google Privacy Dlp V2Info Type> - Restricts what info_types to look for. The values must correspond to InfoType values returned by ListInfoTypes or listed at https://cloud.google.com/dlp/docs/infotypes-reference. When no InfoTypes or CustomInfoTypes are specified in a request, the system may automatically choose a default list of detectors to run, which may change over time. If you need precise control and predictability as to what detectors are run you should specify specific InfoTypes listed in the reference, otherwise a default list will be used, which may change over time.
- Limits
Pulumi.
Google Native. DLP. V2. Inputs. Google Privacy Dlp V2Finding Limits - Configuration to control the number of findings returned. This is not used for data profiling. When redacting sensitive data from images, finding limits don't apply. They can cause unexpected or inconsistent results, where only some data is redacted. Don't include finding limits in RedactImage requests. Otherwise, Cloud DLP returns an error. When set within an InspectJobConfig, the specified maximum values aren't hard limits. If an inspection job reaches these limits, the job ends gradually, not abruptly. Therefore, the actual number of findings that Cloud DLP returns can be multiple times higher than these maximum values.
- Min
Likelihood Pulumi.Google Native. DLP. V2. Google Privacy Dlp V2Inspect Config Min Likelihood - Only returns findings equal to or above this threshold. The default is POSSIBLE. In general, the highest likelihood setting yields the fewest findings in results and the lowest chance of a false positive. For more information, see Match likelihood.
- Min
Likelihood List<Pulumi.Per Info Type Google Native. DLP. V2. Inputs. Google Privacy Dlp V2Info Type Likelihood> - Minimum likelihood per infotype. For each infotype, a user can specify a minimum likelihood. The system only returns a finding if its likelihood is above this threshold. If this field is not set, the system uses the InspectConfig min_likelihood.
- Rule
Set List<Pulumi.Google Native. DLP. V2. Inputs. Google Privacy Dlp V2Inspection Rule Set> - Set of rules to apply to the findings for this InspectConfig. Exclusion rules, contained in the set are executed in the end, other rules are executed in the order they are specified for each info type.
- Content
Options []GooglePrivacy Dlp V2Inspect Config Content Options Item - Deprecated and unused.
- Custom
Info []GoogleTypes Privacy Dlp V2Custom Info Type - CustomInfoTypes provided by the user. See https://cloud.google.com/dlp/docs/creating-custom-infotypes to learn more.
- Exclude
Info boolTypes - When true, excludes type information of the findings. This is not used for data profiling.
- Include
Quote bool - When true, a contextual quote from the data that triggered a finding is included in the response; see Finding.quote. This is not used for data profiling.
- Info
Types []GooglePrivacy Dlp V2Info Type - Restricts what info_types to look for. The values must correspond to InfoType values returned by ListInfoTypes or listed at https://cloud.google.com/dlp/docs/infotypes-reference. When no InfoTypes or CustomInfoTypes are specified in a request, the system may automatically choose a default list of detectors to run, which may change over time. If you need precise control and predictability as to what detectors are run you should specify specific InfoTypes listed in the reference, otherwise a default list will be used, which may change over time.
- Limits
Google
Privacy Dlp V2Finding Limits - Configuration to control the number of findings returned. This is not used for data profiling. When redacting sensitive data from images, finding limits don't apply. They can cause unexpected or inconsistent results, where only some data is redacted. Don't include finding limits in RedactImage requests. Otherwise, Cloud DLP returns an error. When set within an InspectJobConfig, the specified maximum values aren't hard limits. If an inspection job reaches these limits, the job ends gradually, not abruptly. Therefore, the actual number of findings that Cloud DLP returns can be multiple times higher than these maximum values.
- Min
Likelihood GooglePrivacy Dlp V2Inspect Config Min Likelihood - Only returns findings equal to or above this threshold. The default is POSSIBLE. In general, the highest likelihood setting yields the fewest findings in results and the lowest chance of a false positive. For more information, see Match likelihood.
- Min
Likelihood []GooglePer Info Type Privacy Dlp V2Info Type Likelihood - Minimum likelihood per infotype. For each infotype, a user can specify a minimum likelihood. The system only returns a finding if its likelihood is above this threshold. If this field is not set, the system uses the InspectConfig min_likelihood.
- Rule
Set []GooglePrivacy Dlp V2Inspection Rule Set - Set of rules to apply to the findings for this InspectConfig. Exclusion rules, contained in the set are executed in the end, other rules are executed in the order they are specified for each info type.
- content
Options List<GooglePrivacy Dlp V2Inspect Config Content Options Item> - Deprecated and unused.
- custom
Info List<GoogleTypes Privacy Dlp V2Custom Info Type> - CustomInfoTypes provided by the user. See https://cloud.google.com/dlp/docs/creating-custom-infotypes to learn more.
- exclude
Info BooleanTypes - When true, excludes type information of the findings. This is not used for data profiling.
- include
Quote Boolean - When true, a contextual quote from the data that triggered a finding is included in the response; see Finding.quote. This is not used for data profiling.
- info
Types List<GooglePrivacy Dlp V2Info Type> - Restricts what info_types to look for. The values must correspond to InfoType values returned by ListInfoTypes or listed at https://cloud.google.com/dlp/docs/infotypes-reference. When no InfoTypes or CustomInfoTypes are specified in a request, the system may automatically choose a default list of detectors to run, which may change over time. If you need precise control and predictability as to what detectors are run you should specify specific InfoTypes listed in the reference, otherwise a default list will be used, which may change over time.
- limits
Google
Privacy Dlp V2Finding Limits - Configuration to control the number of findings returned. This is not used for data profiling. When redacting sensitive data from images, finding limits don't apply. They can cause unexpected or inconsistent results, where only some data is redacted. Don't include finding limits in RedactImage requests. Otherwise, Cloud DLP returns an error. When set within an InspectJobConfig, the specified maximum values aren't hard limits. If an inspection job reaches these limits, the job ends gradually, not abruptly. Therefore, the actual number of findings that Cloud DLP returns can be multiple times higher than these maximum values.
- min
Likelihood GooglePrivacy Dlp V2Inspect Config Min Likelihood - Only returns findings equal to or above this threshold. The default is POSSIBLE. In general, the highest likelihood setting yields the fewest findings in results and the lowest chance of a false positive. For more information, see Match likelihood.
- min
Likelihood List<GooglePer Info Type Privacy Dlp V2Info Type Likelihood> - Minimum likelihood per infotype. For each infotype, a user can specify a minimum likelihood. The system only returns a finding if its likelihood is above this threshold. If this field is not set, the system uses the InspectConfig min_likelihood.
- rule
Set List<GooglePrivacy Dlp V2Inspection Rule Set> - Set of rules to apply to the findings for this InspectConfig. Exclusion rules, contained in the set are executed in the end, other rules are executed in the order they are specified for each info type.
- content
Options GooglePrivacy Dlp V2Inspect Config Content Options Item[] - Deprecated and unused.
- custom
Info GoogleTypes Privacy Dlp V2Custom Info Type[] - CustomInfoTypes provided by the user. See https://cloud.google.com/dlp/docs/creating-custom-infotypes to learn more.
- exclude
Info booleanTypes - When true, excludes type information of the findings. This is not used for data profiling.
- include
Quote boolean - When true, a contextual quote from the data that triggered a finding is included in the response; see Finding.quote. This is not used for data profiling.
- info
Types GooglePrivacy Dlp V2Info Type[] - Restricts what info_types to look for. The values must correspond to InfoType values returned by ListInfoTypes or listed at https://cloud.google.com/dlp/docs/infotypes-reference. When no InfoTypes or CustomInfoTypes are specified in a request, the system may automatically choose a default list of detectors to run, which may change over time. If you need precise control and predictability as to what detectors are run you should specify specific InfoTypes listed in the reference, otherwise a default list will be used, which may change over time.
- limits
Google
Privacy Dlp V2Finding Limits - Configuration to control the number of findings returned. This is not used for data profiling. When redacting sensitive data from images, finding limits don't apply. They can cause unexpected or inconsistent results, where only some data is redacted. Don't include finding limits in RedactImage requests. Otherwise, Cloud DLP returns an error. When set within an InspectJobConfig, the specified maximum values aren't hard limits. If an inspection job reaches these limits, the job ends gradually, not abruptly. Therefore, the actual number of findings that Cloud DLP returns can be multiple times higher than these maximum values.
- min
Likelihood GooglePrivacy Dlp V2Inspect Config Min Likelihood - Only returns findings equal to or above this threshold. The default is POSSIBLE. In general, the highest likelihood setting yields the fewest findings in results and the lowest chance of a false positive. For more information, see Match likelihood.
- min
Likelihood GooglePer Info Type Privacy Dlp V2Info Type Likelihood[] - Minimum likelihood per infotype. For each infotype, a user can specify a minimum likelihood. The system only returns a finding if its likelihood is above this threshold. If this field is not set, the system uses the InspectConfig min_likelihood.
- rule
Set GooglePrivacy Dlp V2Inspection Rule Set[] - Set of rules to apply to the findings for this InspectConfig. Exclusion rules, contained in the set are executed in the end, other rules are executed in the order they are specified for each info type.
- content_
options Sequence[GooglePrivacy Dlp V2Inspect Config Content Options Item] - Deprecated and unused.
- custom_
info_ Sequence[Googletypes Privacy Dlp V2Custom Info Type] - CustomInfoTypes provided by the user. See https://cloud.google.com/dlp/docs/creating-custom-infotypes to learn more.
- exclude_
info_ booltypes - When true, excludes type information of the findings. This is not used for data profiling.
- include_
quote bool - When true, a contextual quote from the data that triggered a finding is included in the response; see Finding.quote. This is not used for data profiling.
- info_
types Sequence[GooglePrivacy Dlp V2Info Type] - Restricts what info_types to look for. The values must correspond to InfoType values returned by ListInfoTypes or listed at https://cloud.google.com/dlp/docs/infotypes-reference. When no InfoTypes or CustomInfoTypes are specified in a request, the system may automatically choose a default list of detectors to run, which may change over time. If you need precise control and predictability as to what detectors are run you should specify specific InfoTypes listed in the reference, otherwise a default list will be used, which may change over time.
- limits
Google
Privacy Dlp V2Finding Limits - Configuration to control the number of findings returned. This is not used for data profiling. When redacting sensitive data from images, finding limits don't apply. They can cause unexpected or inconsistent results, where only some data is redacted. Don't include finding limits in RedactImage requests. Otherwise, Cloud DLP returns an error. When set within an InspectJobConfig, the specified maximum values aren't hard limits. If an inspection job reaches these limits, the job ends gradually, not abruptly. Therefore, the actual number of findings that Cloud DLP returns can be multiple times higher than these maximum values.
- min_
likelihood GooglePrivacy Dlp V2Inspect Config Min Likelihood - Only returns findings equal to or above this threshold. The default is POSSIBLE. In general, the highest likelihood setting yields the fewest findings in results and the lowest chance of a false positive. For more information, see Match likelihood.
- min_
likelihood_ Sequence[Googleper_ info_ type Privacy Dlp V2Info Type Likelihood] - Minimum likelihood per infotype. For each infotype, a user can specify a minimum likelihood. The system only returns a finding if its likelihood is above this threshold. If this field is not set, the system uses the InspectConfig min_likelihood.
- rule_
set Sequence[GooglePrivacy Dlp V2Inspection Rule Set] - Set of rules to apply to the findings for this InspectConfig. Exclusion rules, contained in the set are executed in the end, other rules are executed in the order they are specified for each info type.
- content
Options List<"CONTENT_UNSPECIFIED" | "CONTENT_TEXT" | "CONTENT_IMAGE"> - Deprecated and unused.
- custom
Info List<Property Map>Types - CustomInfoTypes provided by the user. See https://cloud.google.com/dlp/docs/creating-custom-infotypes to learn more.
- exclude
Info BooleanTypes - When true, excludes type information of the findings. This is not used for data profiling.
- include
Quote Boolean - When true, a contextual quote from the data that triggered a finding is included in the response; see Finding.quote. This is not used for data profiling.
- info
Types List<Property Map> - Restricts what info_types to look for. The values must correspond to InfoType values returned by ListInfoTypes or listed at https://cloud.google.com/dlp/docs/infotypes-reference. When no InfoTypes or CustomInfoTypes are specified in a request, the system may automatically choose a default list of detectors to run, which may change over time. If you need precise control and predictability as to what detectors are run you should specify specific InfoTypes listed in the reference, otherwise a default list will be used, which may change over time.
- limits Property Map
- Configuration to control the number of findings returned. This is not used for data profiling. When redacting sensitive data from images, finding limits don't apply. They can cause unexpected or inconsistent results, where only some data is redacted. Don't include finding limits in RedactImage requests. Otherwise, Cloud DLP returns an error. When set within an InspectJobConfig, the specified maximum values aren't hard limits. If an inspection job reaches these limits, the job ends gradually, not abruptly. Therefore, the actual number of findings that Cloud DLP returns can be multiple times higher than these maximum values.
- min
Likelihood "LIKELIHOOD_UNSPECIFIED" | "VERY_UNLIKELY" | "UNLIKELY" | "POSSIBLE" | "LIKELY" | "VERY_LIKELY" - Only returns findings equal to or above this threshold. The default is POSSIBLE. In general, the highest likelihood setting yields the fewest findings in results and the lowest chance of a false positive. For more information, see Match likelihood.
- min
Likelihood List<Property Map>Per Info Type - Minimum likelihood per infotype. For each infotype, a user can specify a minimum likelihood. The system only returns a finding if its likelihood is above this threshold. If this field is not set, the system uses the InspectConfig min_likelihood.
- rule
Set List<Property Map> - Set of rules to apply to the findings for this InspectConfig. Exclusion rules, contained in the set are executed in the end, other rules are executed in the order they are specified for each info type.
GooglePrivacyDlpV2InspectConfigContentOptionsItem, GooglePrivacyDlpV2InspectConfigContentOptionsItemArgs
- Content
Unspecified - CONTENT_UNSPECIFIEDIncludes entire content of a file or a data stream.
- Content
Text - CONTENT_TEXTText content within the data, excluding any metadata.
- Content
Image - CONTENT_IMAGEImages found in the data.
- Google
Privacy Dlp V2Inspect Config Content Options Item Content Unspecified - CONTENT_UNSPECIFIEDIncludes entire content of a file or a data stream.
- Google
Privacy Dlp V2Inspect Config Content Options Item Content Text - CONTENT_TEXTText content within the data, excluding any metadata.
- Google
Privacy Dlp V2Inspect Config Content Options Item Content Image - CONTENT_IMAGEImages found in the data.
- Content
Unspecified - CONTENT_UNSPECIFIEDIncludes entire content of a file or a data stream.
- Content
Text - CONTENT_TEXTText content within the data, excluding any metadata.
- Content
Image - CONTENT_IMAGEImages found in the data.
- Content
Unspecified - CONTENT_UNSPECIFIEDIncludes entire content of a file or a data stream.
- Content
Text - CONTENT_TEXTText content within the data, excluding any metadata.
- Content
Image - CONTENT_IMAGEImages found in the data.
- CONTENT_UNSPECIFIED
- CONTENT_UNSPECIFIEDIncludes entire content of a file or a data stream.
- CONTENT_TEXT
- CONTENT_TEXTText content within the data, excluding any metadata.
- CONTENT_IMAGE
- CONTENT_IMAGEImages found in the data.
- "CONTENT_UNSPECIFIED"
- CONTENT_UNSPECIFIEDIncludes entire content of a file or a data stream.
- "CONTENT_TEXT"
- CONTENT_TEXTText content within the data, excluding any metadata.
- "CONTENT_IMAGE"
- CONTENT_IMAGEImages found in the data.
GooglePrivacyDlpV2InspectConfigMinLikelihood, GooglePrivacyDlpV2InspectConfigMinLikelihoodArgs
- Likelihood
Unspecified - LIKELIHOOD_UNSPECIFIEDDefault value; same as POSSIBLE.
- Very
Unlikely - VERY_UNLIKELYHighest chance of a false positive.
- Unlikely
- UNLIKELYHigh chance of a false positive.
- Possible
- POSSIBLESome matching signals. The default value.
- Likely
- LIKELYLow chance of a false positive.
- Very
Likely - VERY_LIKELYConfidence level is high. Lowest chance of a false positive.
- Google
Privacy Dlp V2Inspect Config Min Likelihood Likelihood Unspecified - LIKELIHOOD_UNSPECIFIEDDefault value; same as POSSIBLE.
- Google
Privacy Dlp V2Inspect Config Min Likelihood Very Unlikely - VERY_UNLIKELYHighest chance of a false positive.
- Google
Privacy Dlp V2Inspect Config Min Likelihood Unlikely - UNLIKELYHigh chance of a false positive.
- Google
Privacy Dlp V2Inspect Config Min Likelihood Possible - POSSIBLESome matching signals. The default value.
- Google
Privacy Dlp V2Inspect Config Min Likelihood Likely - LIKELYLow chance of a false positive.
- Google
Privacy Dlp V2Inspect Config Min Likelihood Very Likely - VERY_LIKELYConfidence level is high. Lowest chance of a false positive.
- Likelihood
Unspecified - LIKELIHOOD_UNSPECIFIEDDefault value; same as POSSIBLE.
- Very
Unlikely - VERY_UNLIKELYHighest chance of a false positive.
- Unlikely
- UNLIKELYHigh chance of a false positive.
- Possible
- POSSIBLESome matching signals. The default value.
- Likely
- LIKELYLow chance of a false positive.
- Very
Likely - VERY_LIKELYConfidence level is high. Lowest chance of a false positive.
- Likelihood
Unspecified - LIKELIHOOD_UNSPECIFIEDDefault value; same as POSSIBLE.
- Very
Unlikely - VERY_UNLIKELYHighest chance of a false positive.
- Unlikely
- UNLIKELYHigh chance of a false positive.
- Possible
- POSSIBLESome matching signals. The default value.
- Likely
- LIKELYLow chance of a false positive.
- Very
Likely - VERY_LIKELYConfidence level is high. Lowest chance of a false positive.
- LIKELIHOOD_UNSPECIFIED
- LIKELIHOOD_UNSPECIFIEDDefault value; same as POSSIBLE.
- VERY_UNLIKELY
- VERY_UNLIKELYHighest chance of a false positive.
- UNLIKELY
- UNLIKELYHigh chance of a false positive.
- POSSIBLE
- POSSIBLESome matching signals. The default value.
- LIKELY
- LIKELYLow chance of a false positive.
- VERY_LIKELY
- VERY_LIKELYConfidence level is high. Lowest chance of a false positive.
- "LIKELIHOOD_UNSPECIFIED"
- LIKELIHOOD_UNSPECIFIEDDefault value; same as POSSIBLE.
- "VERY_UNLIKELY"
- VERY_UNLIKELYHighest chance of a false positive.
- "UNLIKELY"
- UNLIKELYHigh chance of a false positive.
- "POSSIBLE"
- POSSIBLESome matching signals. The default value.
- "LIKELY"
- LIKELYLow chance of a false positive.
- "VERY_LIKELY"
- VERY_LIKELYConfidence level is high. Lowest chance of a false positive.
GooglePrivacyDlpV2InspectConfigResponse, GooglePrivacyDlpV2InspectConfigResponseArgs
- Content
Options List<string> - Deprecated and unused.
- Custom
Info List<Pulumi.Types Google Native. DLP. V2. Inputs. Google Privacy Dlp V2Custom Info Type Response> - CustomInfoTypes provided by the user. See https://cloud.google.com/dlp/docs/creating-custom-infotypes to learn more.
- Exclude
Info boolTypes - When true, excludes type information of the findings. This is not used for data profiling.
- Include
Quote bool - When true, a contextual quote from the data that triggered a finding is included in the response; see Finding.quote. This is not used for data profiling.
- Info
Types List<Pulumi.Google Native. DLP. V2. Inputs. Google Privacy Dlp V2Info Type Response> - Restricts what info_types to look for. The values must correspond to InfoType values returned by ListInfoTypes or listed at https://cloud.google.com/dlp/docs/infotypes-reference. When no InfoTypes or CustomInfoTypes are specified in a request, the system may automatically choose a default list of detectors to run, which may change over time. If you need precise control and predictability as to what detectors are run you should specify specific InfoTypes listed in the reference, otherwise a default list will be used, which may change over time.
- Limits
Pulumi.
Google Native. DLP. V2. Inputs. Google Privacy Dlp V2Finding Limits Response - Configuration to control the number of findings returned. This is not used for data profiling. When redacting sensitive data from images, finding limits don't apply. They can cause unexpected or inconsistent results, where only some data is redacted. Don't include finding limits in RedactImage requests. Otherwise, Cloud DLP returns an error. When set within an InspectJobConfig, the specified maximum values aren't hard limits. If an inspection job reaches these limits, the job ends gradually, not abruptly. Therefore, the actual number of findings that Cloud DLP returns can be multiple times higher than these maximum values.
- Min
Likelihood string - Only returns findings equal to or above this threshold. The default is POSSIBLE. In general, the highest likelihood setting yields the fewest findings in results and the lowest chance of a false positive. For more information, see Match likelihood.
- Min
Likelihood List<Pulumi.Per Info Type Google Native. DLP. V2. Inputs. Google Privacy Dlp V2Info Type Likelihood Response> - Minimum likelihood per infotype. For each infotype, a user can specify a minimum likelihood. The system only returns a finding if its likelihood is above this threshold. If this field is not set, the system uses the InspectConfig min_likelihood.
- Rule
Set List<Pulumi.Google Native. DLP. V2. Inputs. Google Privacy Dlp V2Inspection Rule Set Response> - Set of rules to apply to the findings for this InspectConfig. Exclusion rules, contained in the set are executed in the end, other rules are executed in the order they are specified for each info type.
- Content
Options []string - Deprecated and unused.
- Custom
Info []GoogleTypes Privacy Dlp V2Custom Info Type Response - CustomInfoTypes provided by the user. See https://cloud.google.com/dlp/docs/creating-custom-infotypes to learn more.
- Exclude
Info boolTypes - When true, excludes type information of the findings. This is not used for data profiling.
- Include
Quote bool - When true, a contextual quote from the data that triggered a finding is included in the response; see Finding.quote. This is not used for data profiling.
- Info
Types []GooglePrivacy Dlp V2Info Type Response - Restricts what info_types to look for. The values must correspond to InfoType values returned by ListInfoTypes or listed at https://cloud.google.com/dlp/docs/infotypes-reference. When no InfoTypes or CustomInfoTypes are specified in a request, the system may automatically choose a default list of detectors to run, which may change over time. If you need precise control and predictability as to what detectors are run you should specify specific InfoTypes listed in the reference, otherwise a default list will be used, which may change over time.
- Limits
Google
Privacy Dlp V2Finding Limits Response - Configuration to control the number of findings returned. This is not used for data profiling. When redacting sensitive data from images, finding limits don't apply. They can cause unexpected or inconsistent results, where only some data is redacted. Don't include finding limits in RedactImage requests. Otherwise, Cloud DLP returns an error. When set within an InspectJobConfig, the specified maximum values aren't hard limits. If an inspection job reaches these limits, the job ends gradually, not abruptly. Therefore, the actual number of findings that Cloud DLP returns can be multiple times higher than these maximum values.
- Min
Likelihood string - Only returns findings equal to or above this threshold. The default is POSSIBLE. In general, the highest likelihood setting yields the fewest findings in results and the lowest chance of a false positive. For more information, see Match likelihood.
- Min
Likelihood []GooglePer Info Type Privacy Dlp V2Info Type Likelihood Response - Minimum likelihood per infotype. For each infotype, a user can specify a minimum likelihood. The system only returns a finding if its likelihood is above this threshold. If this field is not set, the system uses the InspectConfig min_likelihood.
- Rule
Set []GooglePrivacy Dlp V2Inspection Rule Set Response - Set of rules to apply to the findings for this InspectConfig. Exclusion rules, contained in the set are executed in the end, other rules are executed in the order they are specified for each info type.
- content
Options List<String> - Deprecated and unused.
- custom
Info List<GoogleTypes Privacy Dlp V2Custom Info Type Response> - CustomInfoTypes provided by the user. See https://cloud.google.com/dlp/docs/creating-custom-infotypes to learn more.
- exclude
Info BooleanTypes - When true, excludes type information of the findings. This is not used for data profiling.
- include
Quote Boolean - When true, a contextual quote from the data that triggered a finding is included in the response; see Finding.quote. This is not used for data profiling.
- info
Types List<GooglePrivacy Dlp V2Info Type Response> - Restricts what info_types to look for. The values must correspond to InfoType values returned by ListInfoTypes or listed at https://cloud.google.com/dlp/docs/infotypes-reference. When no InfoTypes or CustomInfoTypes are specified in a request, the system may automatically choose a default list of detectors to run, which may change over time. If you need precise control and predictability as to what detectors are run you should specify specific InfoTypes listed in the reference, otherwise a default list will be used, which may change over time.
- limits
Google
Privacy Dlp V2Finding Limits Response - Configuration to control the number of findings returned. This is not used for data profiling. When redacting sensitive data from images, finding limits don't apply. They can cause unexpected or inconsistent results, where only some data is redacted. Don't include finding limits in RedactImage requests. Otherwise, Cloud DLP returns an error. When set within an InspectJobConfig, the specified maximum values aren't hard limits. If an inspection job reaches these limits, the job ends gradually, not abruptly. Therefore, the actual number of findings that Cloud DLP returns can be multiple times higher than these maximum values.
- min
Likelihood String - Only returns findings equal to or above this threshold. The default is POSSIBLE. In general, the highest likelihood setting yields the fewest findings in results and the lowest chance of a false positive. For more information, see Match likelihood.
- min
Likelihood List<GooglePer Info Type Privacy Dlp V2Info Type Likelihood Response> - Minimum likelihood per infotype. For each infotype, a user can specify a minimum likelihood. The system only returns a finding if its likelihood is above this threshold. If this field is not set, the system uses the InspectConfig min_likelihood.
- rule
Set List<GooglePrivacy Dlp V2Inspection Rule Set Response> - Set of rules to apply to the findings for this InspectConfig. Exclusion rules, contained in the set are executed in the end, other rules are executed in the order they are specified for each info type.
- content
Options string[] - Deprecated and unused.
- custom
Info GoogleTypes Privacy Dlp V2Custom Info Type Response[] - CustomInfoTypes provided by the user. See https://cloud.google.com/dlp/docs/creating-custom-infotypes to learn more.
- exclude
Info booleanTypes - When true, excludes type information of the findings. This is not used for data profiling.
- include
Quote boolean - When true, a contextual quote from the data that triggered a finding is included in the response; see Finding.quote. This is not used for data profiling.
- info
Types GooglePrivacy Dlp V2Info Type Response[] - Restricts what info_types to look for. The values must correspond to InfoType values returned by ListInfoTypes or listed at https://cloud.google.com/dlp/docs/infotypes-reference. When no InfoTypes or CustomInfoTypes are specified in a request, the system may automatically choose a default list of detectors to run, which may change over time. If you need precise control and predictability as to what detectors are run you should specify specific InfoTypes listed in the reference, otherwise a default list will be used, which may change over time.
- limits
Google
Privacy Dlp V2Finding Limits Response - Configuration to control the number of findings returned. This is not used for data profiling. When redacting sensitive data from images, finding limits don't apply. They can cause unexpected or inconsistent results, where only some data is redacted. Don't include finding limits in RedactImage requests. Otherwise, Cloud DLP returns an error. When set within an InspectJobConfig, the specified maximum values aren't hard limits. If an inspection job reaches these limits, the job ends gradually, not abruptly. Therefore, the actual number of findings that Cloud DLP returns can be multiple times higher than these maximum values.
- min
Likelihood string - Only returns findings equal to or above this threshold. The default is POSSIBLE. In general, the highest likelihood setting yields the fewest findings in results and the lowest chance of a false positive. For more information, see Match likelihood.
- min
Likelihood GooglePer Info Type Privacy Dlp V2Info Type Likelihood Response[] - Minimum likelihood per infotype. For each infotype, a user can specify a minimum likelihood. The system only returns a finding if its likelihood is above this threshold. If this field is not set, the system uses the InspectConfig min_likelihood.
- rule
Set GooglePrivacy Dlp V2Inspection Rule Set Response[] - Set of rules to apply to the findings for this InspectConfig. Exclusion rules, contained in the set are executed in the end, other rules are executed in the order they are specified for each info type.
- content_
options Sequence[str] - Deprecated and unused.
- custom_
info_ Sequence[Googletypes Privacy Dlp V2Custom Info Type Response] - CustomInfoTypes provided by the user. See https://cloud.google.com/dlp/docs/creating-custom-infotypes to learn more.
- exclude_
info_ booltypes - When true, excludes type information of the findings. This is not used for data profiling.
- include_
quote bool - When true, a contextual quote from the data that triggered a finding is included in the response; see Finding.quote. This is not used for data profiling.
- info_
types Sequence[GooglePrivacy Dlp V2Info Type Response] - Restricts what info_types to look for. The values must correspond to InfoType values returned by ListInfoTypes or listed at https://cloud.google.com/dlp/docs/infotypes-reference. When no InfoTypes or CustomInfoTypes are specified in a request, the system may automatically choose a default list of detectors to run, which may change over time. If you need precise control and predictability as to what detectors are run you should specify specific InfoTypes listed in the reference, otherwise a default list will be used, which may change over time.
- limits
Google
Privacy Dlp V2Finding Limits Response - Configuration to control the number of findings returned. This is not used for data profiling. When redacting sensitive data from images, finding limits don't apply. They can cause unexpected or inconsistent results, where only some data is redacted. Don't include finding limits in RedactImage requests. Otherwise, Cloud DLP returns an error. When set within an InspectJobConfig, the specified maximum values aren't hard limits. If an inspection job reaches these limits, the job ends gradually, not abruptly. Therefore, the actual number of findings that Cloud DLP returns can be multiple times higher than these maximum values.
- min_
likelihood str - Only returns findings equal to or above this threshold. The default is POSSIBLE. In general, the highest likelihood setting yields the fewest findings in results and the lowest chance of a false positive. For more information, see Match likelihood.
- min_
likelihood_ Sequence[Googleper_ info_ type Privacy Dlp V2Info Type Likelihood Response] - Minimum likelihood per infotype. For each infotype, a user can specify a minimum likelihood. The system only returns a finding if its likelihood is above this threshold. If this field is not set, the system uses the InspectConfig min_likelihood.
- rule_
set Sequence[GooglePrivacy Dlp V2Inspection Rule Set Response] - Set of rules to apply to the findings for this InspectConfig. Exclusion rules, contained in the set are executed in the end, other rules are executed in the order they are specified for each info type.
- content
Options List<String> - Deprecated and unused.
- custom
Info List<Property Map>Types - CustomInfoTypes provided by the user. See https://cloud.google.com/dlp/docs/creating-custom-infotypes to learn more.
- exclude
Info BooleanTypes - When true, excludes type information of the findings. This is not used for data profiling.
- include
Quote Boolean - When true, a contextual quote from the data that triggered a finding is included in the response; see Finding.quote. This is not used for data profiling.
- info
Types List<Property Map> - Restricts what info_types to look for. The values must correspond to InfoType values returned by ListInfoTypes or listed at https://cloud.google.com/dlp/docs/infotypes-reference. When no InfoTypes or CustomInfoTypes are specified in a request, the system may automatically choose a default list of detectors to run, which may change over time. If you need precise control and predictability as to what detectors are run you should specify specific InfoTypes listed in the reference, otherwise a default list will be used, which may change over time.
- limits Property Map
- Configuration to control the number of findings returned. This is not used for data profiling. When redacting sensitive data from images, finding limits don't apply. They can cause unexpected or inconsistent results, where only some data is redacted. Don't include finding limits in RedactImage requests. Otherwise, Cloud DLP returns an error. When set within an InspectJobConfig, the specified maximum values aren't hard limits. If an inspection job reaches these limits, the job ends gradually, not abruptly. Therefore, the actual number of findings that Cloud DLP returns can be multiple times higher than these maximum values.
- min
Likelihood String - Only returns findings equal to or above this threshold. The default is POSSIBLE. In general, the highest likelihood setting yields the fewest findings in results and the lowest chance of a false positive. For more information, see Match likelihood.
- min
Likelihood List<Property Map>Per Info Type - Minimum likelihood per infotype. For each infotype, a user can specify a minimum likelihood. The system only returns a finding if its likelihood is above this threshold. If this field is not set, the system uses the InspectConfig min_likelihood.
- rule
Set List<Property Map> - Set of rules to apply to the findings for this InspectConfig. Exclusion rules, contained in the set are executed in the end, other rules are executed in the order they are specified for each info type.
GooglePrivacyDlpV2InspectDataSourceDetailsResponse, GooglePrivacyDlpV2InspectDataSourceDetailsResponseArgs
- Requested
Options Pulumi.Google Native. DLP. V2. Inputs. Google Privacy Dlp V2Requested Options Response - The configuration used for this job.
- Result
Pulumi.
Google Native. DLP. V2. Inputs. Google Privacy Dlp V2Result Response - A summary of the outcome of this inspection job.
- Requested
Options GooglePrivacy Dlp V2Requested Options Response - The configuration used for this job.
- Result
Google
Privacy Dlp V2Result Response - A summary of the outcome of this inspection job.
- requested
Options GooglePrivacy Dlp V2Requested Options Response - The configuration used for this job.
- result
Google
Privacy Dlp V2Result Response - A summary of the outcome of this inspection job.
- requested
Options GooglePrivacy Dlp V2Requested Options Response - The configuration used for this job.
- result
Google
Privacy Dlp V2Result Response - A summary of the outcome of this inspection job.
- requested_
options GooglePrivacy Dlp V2Requested Options Response - The configuration used for this job.
- result
Google
Privacy Dlp V2Result Response - A summary of the outcome of this inspection job.
- requested
Options Property Map - The configuration used for this job.
- result Property Map
- A summary of the outcome of this inspection job.
GooglePrivacyDlpV2InspectJobConfig, GooglePrivacyDlpV2InspectJobConfigArgs
- Actions
List<Pulumi.
Google Native. DLP. V2. Inputs. Google Privacy Dlp V2Action> - Actions to execute at the completion of the job.
- Inspect
Config Pulumi.Google Native. DLP. V2. Inputs. Google Privacy Dlp V2Inspect Config - How and what to scan for.
- Inspect
Template stringName - If provided, will be used as the default for all values in InspectConfig.
inspect_configwill be merged into the values persisted as part of the template. - Storage
Config Pulumi.Google Native. DLP. V2. Inputs. Google Privacy Dlp V2Storage Config - The data to scan.
- Actions
[]Google
Privacy Dlp V2Action - Actions to execute at the completion of the job.
- Inspect
Config GooglePrivacy Dlp V2Inspect Config - How and what to scan for.
- Inspect
Template stringName - If provided, will be used as the default for all values in InspectConfig.
inspect_configwill be merged into the values persisted as part of the template. - Storage
Config GooglePrivacy Dlp V2Storage Config - The data to scan.
- actions
List<Google
Privacy Dlp V2Action> - Actions to execute at the completion of the job.
- inspect
Config GooglePrivacy Dlp V2Inspect Config - How and what to scan for.
- inspect
Template StringName - If provided, will be used as the default for all values in InspectConfig.
inspect_configwill be merged into the values persisted as part of the template. - storage
Config GooglePrivacy Dlp V2Storage Config - The data to scan.
- actions
Google
Privacy Dlp V2Action[] - Actions to execute at the completion of the job.
- inspect
Config GooglePrivacy Dlp V2Inspect Config - How and what to scan for.
- inspect
Template stringName - If provided, will be used as the default for all values in InspectConfig.
inspect_configwill be merged into the values persisted as part of the template. - storage
Config GooglePrivacy Dlp V2Storage Config - The data to scan.
- actions
Sequence[Google
Privacy Dlp V2Action] - Actions to execute at the completion of the job.
- inspect_
config GooglePrivacy Dlp V2Inspect Config - How and what to scan for.
- inspect_
template_ strname - If provided, will be used as the default for all values in InspectConfig.
inspect_configwill be merged into the values persisted as part of the template. - storage_
config GooglePrivacy Dlp V2Storage Config - The data to scan.
- actions List<Property Map>
- Actions to execute at the completion of the job.
- inspect
Config Property Map - How and what to scan for.
- inspect
Template StringName - If provided, will be used as the default for all values in InspectConfig.
inspect_configwill be merged into the values persisted as part of the template. - storage
Config Property Map - The data to scan.
GooglePrivacyDlpV2InspectJobConfigResponse, GooglePrivacyDlpV2InspectJobConfigResponseArgs
- Actions
List<Pulumi.
Google Native. DLP. V2. Inputs. Google Privacy Dlp V2Action Response> - Actions to execute at the completion of the job.
- Inspect
Config Pulumi.Google Native. DLP. V2. Inputs. Google Privacy Dlp V2Inspect Config Response - How and what to scan for.
- Inspect
Template stringName - If provided, will be used as the default for all values in InspectConfig.
inspect_configwill be merged into the values persisted as part of the template. - Storage
Config Pulumi.Google Native. DLP. V2. Inputs. Google Privacy Dlp V2Storage Config Response - The data to scan.
- Actions
[]Google
Privacy Dlp V2Action Response - Actions to execute at the completion of the job.
- Inspect
Config GooglePrivacy Dlp V2Inspect Config Response - How and what to scan for.
- Inspect
Template stringName - If provided, will be used as the default for all values in InspectConfig.
inspect_configwill be merged into the values persisted as part of the template. - Storage
Config GooglePrivacy Dlp V2Storage Config Response - The data to scan.
- actions
List<Google
Privacy Dlp V2Action Response> - Actions to execute at the completion of the job.
- inspect
Config GooglePrivacy Dlp V2Inspect Config Response - How and what to scan for.
- inspect
Template StringName - If provided, will be used as the default for all values in InspectConfig.
inspect_configwill be merged into the values persisted as part of the template. - storage
Config GooglePrivacy Dlp V2Storage Config Response - The data to scan.
- actions
Google
Privacy Dlp V2Action Response[] - Actions to execute at the completion of the job.
- inspect
Config GooglePrivacy Dlp V2Inspect Config Response - How and what to scan for.
- inspect
Template stringName - If provided, will be used as the default for all values in InspectConfig.
inspect_configwill be merged into the values persisted as part of the template. - storage
Config GooglePrivacy Dlp V2Storage Config Response - The data to scan.
- actions
Sequence[Google
Privacy Dlp V2Action Response] - Actions to execute at the completion of the job.
- inspect_
config GooglePrivacy Dlp V2Inspect Config Response - How and what to scan for.
- inspect_
template_ strname - If provided, will be used as the default for all values in InspectConfig.
inspect_configwill be merged into the values persisted as part of the template. - storage_
config GooglePrivacy Dlp V2Storage Config Response - The data to scan.
- actions List<Property Map>
- Actions to execute at the completion of the job.
- inspect
Config Property Map - How and what to scan for.
- inspect
Template StringName - If provided, will be used as the default for all values in InspectConfig.
inspect_configwill be merged into the values persisted as part of the template. - storage
Config Property Map - The data to scan.
GooglePrivacyDlpV2InspectTemplateResponse, GooglePrivacyDlpV2InspectTemplateResponseArgs
- Create
Time string - The creation timestamp of an inspectTemplate.
- Description string
- Short description (max 256 chars).
- Display
Name string - Display name (max 256 chars).
- Inspect
Config Pulumi.Google Native. DLP. V2. Inputs. Google Privacy Dlp V2Inspect Config Response - The core content of the template. Configuration of the scanning process.
- Name string
- The template name. The template will have one of the following formats:
projects/PROJECT_ID/inspectTemplates/TEMPLATE_IDORorganizations/ORGANIZATION_ID/inspectTemplates/TEMPLATE_ID; - Update
Time string - The last update timestamp of an inspectTemplate.
- Create
Time string - The creation timestamp of an inspectTemplate.
- Description string
- Short description (max 256 chars).
- Display
Name string - Display name (max 256 chars).
- Inspect
Config GooglePrivacy Dlp V2Inspect Config Response - The core content of the template. Configuration of the scanning process.
- Name string
- The template name. The template will have one of the following formats:
projects/PROJECT_ID/inspectTemplates/TEMPLATE_IDORorganizations/ORGANIZATION_ID/inspectTemplates/TEMPLATE_ID; - Update
Time string - The last update timestamp of an inspectTemplate.
- create
Time String - The creation timestamp of an inspectTemplate.
- description String
- Short description (max 256 chars).
- display
Name String - Display name (max 256 chars).
- inspect
Config GooglePrivacy Dlp V2Inspect Config Response - The core content of the template. Configuration of the scanning process.
- name String
- The template name. The template will have one of the following formats:
projects/PROJECT_ID/inspectTemplates/TEMPLATE_IDORorganizations/ORGANIZATION_ID/inspectTemplates/TEMPLATE_ID; - update
Time String - The last update timestamp of an inspectTemplate.
- create
Time string - The creation timestamp of an inspectTemplate.
- description string
- Short description (max 256 chars).
- display
Name string - Display name (max 256 chars).
- inspect
Config GooglePrivacy Dlp V2Inspect Config Response - The core content of the template. Configuration of the scanning process.
- name string
- The template name. The template will have one of the following formats:
projects/PROJECT_ID/inspectTemplates/TEMPLATE_IDORorganizations/ORGANIZATION_ID/inspectTemplates/TEMPLATE_ID; - update
Time string - The last update timestamp of an inspectTemplate.
- create_
time str - The creation timestamp of an inspectTemplate.
- description str
- Short description (max 256 chars).
- display_
name str - Display name (max 256 chars).
- inspect_
config GooglePrivacy Dlp V2Inspect Config Response - The core content of the template. Configuration of the scanning process.
- name str
- The template name. The template will have one of the following formats:
projects/PROJECT_ID/inspectTemplates/TEMPLATE_IDORorganizations/ORGANIZATION_ID/inspectTemplates/TEMPLATE_ID; - update_
time str - The last update timestamp of an inspectTemplate.
- create
Time String - The creation timestamp of an inspectTemplate.
- description String
- Short description (max 256 chars).
- display
Name String - Display name (max 256 chars).
- inspect
Config Property Map - The core content of the template. Configuration of the scanning process.
- name String
- The template name. The template will have one of the following formats:
projects/PROJECT_ID/inspectTemplates/TEMPLATE_IDORorganizations/ORGANIZATION_ID/inspectTemplates/TEMPLATE_ID; - update
Time String - The last update timestamp of an inspectTemplate.
GooglePrivacyDlpV2InspectionRule, GooglePrivacyDlpV2InspectionRuleArgs
- Exclusion
Rule Pulumi.Google Native. DLP. V2. Inputs. Google Privacy Dlp V2Exclusion Rule - Exclusion rule.
- Hotword
Rule Pulumi.Google Native. DLP. V2. Inputs. Google Privacy Dlp V2Hotword Rule - Hotword-based detection rule.
- Exclusion
Rule GooglePrivacy Dlp V2Exclusion Rule - Exclusion rule.
- Hotword
Rule GooglePrivacy Dlp V2Hotword Rule - Hotword-based detection rule.
- exclusion
Rule GooglePrivacy Dlp V2Exclusion Rule - Exclusion rule.
- hotword
Rule GooglePrivacy Dlp V2Hotword Rule - Hotword-based detection rule.
- exclusion
Rule GooglePrivacy Dlp V2Exclusion Rule - Exclusion rule.
- hotword
Rule GooglePrivacy Dlp V2Hotword Rule - Hotword-based detection rule.
- exclusion_
rule GooglePrivacy Dlp V2Exclusion Rule - Exclusion rule.
- hotword_
rule GooglePrivacy Dlp V2Hotword Rule - Hotword-based detection rule.
- exclusion
Rule Property Map - Exclusion rule.
- hotword
Rule Property Map - Hotword-based detection rule.
GooglePrivacyDlpV2InspectionRuleResponse, GooglePrivacyDlpV2InspectionRuleResponseArgs
- Exclusion
Rule Pulumi.Google Native. DLP. V2. Inputs. Google Privacy Dlp V2Exclusion Rule Response - Exclusion rule.
- Hotword
Rule Pulumi.Google Native. DLP. V2. Inputs. Google Privacy Dlp V2Hotword Rule Response - Hotword-based detection rule.
- Exclusion
Rule GooglePrivacy Dlp V2Exclusion Rule Response - Exclusion rule.
- Hotword
Rule GooglePrivacy Dlp V2Hotword Rule Response - Hotword-based detection rule.
- exclusion
Rule GooglePrivacy Dlp V2Exclusion Rule Response - Exclusion rule.
- hotword
Rule GooglePrivacy Dlp V2Hotword Rule Response - Hotword-based detection rule.
- exclusion
Rule GooglePrivacy Dlp V2Exclusion Rule Response - Exclusion rule.
- hotword
Rule GooglePrivacy Dlp V2Hotword Rule Response - Hotword-based detection rule.
- exclusion_
rule GooglePrivacy Dlp V2Exclusion Rule Response - Exclusion rule.
- hotword_
rule GooglePrivacy Dlp V2Hotword Rule Response - Hotword-based detection rule.
- exclusion
Rule Property Map - Exclusion rule.
- hotword
Rule Property Map - Hotword-based detection rule.
GooglePrivacyDlpV2InspectionRuleSet, GooglePrivacyDlpV2InspectionRuleSetArgs
- Info
Types List<Pulumi.Google Native. DLP. V2. Inputs. Google Privacy Dlp V2Info Type> - List of infoTypes this rule set is applied to.
- Rules
List<Pulumi.
Google Native. DLP. V2. Inputs. Google Privacy Dlp V2Inspection Rule> - Set of rules to be applied to infoTypes. The rules are applied in order.
- Info
Types []GooglePrivacy Dlp V2Info Type - List of infoTypes this rule set is applied to.
- Rules
[]Google
Privacy Dlp V2Inspection Rule - Set of rules to be applied to infoTypes. The rules are applied in order.
- info
Types List<GooglePrivacy Dlp V2Info Type> - List of infoTypes this rule set is applied to.
- rules
List<Google
Privacy Dlp V2Inspection Rule> - Set of rules to be applied to infoTypes. The rules are applied in order.
- info
Types GooglePrivacy Dlp V2Info Type[] - List of infoTypes this rule set is applied to.
- rules
Google
Privacy Dlp V2Inspection Rule[] - Set of rules to be applied to infoTypes. The rules are applied in order.
- info_
types Sequence[GooglePrivacy Dlp V2Info Type] - List of infoTypes this rule set is applied to.
- rules
Sequence[Google
Privacy Dlp V2Inspection Rule] - Set of rules to be applied to infoTypes. The rules are applied in order.
- info
Types List<Property Map> - List of infoTypes this rule set is applied to.
- rules List<Property Map>
- Set of rules to be applied to infoTypes. The rules are applied in order.
GooglePrivacyDlpV2InspectionRuleSetResponse, GooglePrivacyDlpV2InspectionRuleSetResponseArgs
- Info
Types List<Pulumi.Google Native. DLP. V2. Inputs. Google Privacy Dlp V2Info Type Response> - List of infoTypes this rule set is applied to.
- Rules
List<Pulumi.
Google Native. DLP. V2. Inputs. Google Privacy Dlp V2Inspection Rule Response> - Set of rules to be applied to infoTypes. The rules are applied in order.
- Info
Types []GooglePrivacy Dlp V2Info Type Response - List of infoTypes this rule set is applied to.
- Rules
[]Google
Privacy Dlp V2Inspection Rule Response - Set of rules to be applied to infoTypes. The rules are applied in order.
- info
Types List<GooglePrivacy Dlp V2Info Type Response> - List of infoTypes this rule set is applied to.
- rules
List<Google
Privacy Dlp V2Inspection Rule Response> - Set of rules to be applied to infoTypes. The rules are applied in order.
- info
Types GooglePrivacy Dlp V2Info Type Response[] - List of infoTypes this rule set is applied to.
- rules
Google
Privacy Dlp V2Inspection Rule Response[] - Set of rules to be applied to infoTypes. The rules are applied in order.
- info_
types Sequence[GooglePrivacy Dlp V2Info Type Response] - List of infoTypes this rule set is applied to.
- rules
Sequence[Google
Privacy Dlp V2Inspection Rule Response] - Set of rules to be applied to infoTypes. The rules are applied in order.
- info
Types List<Property Map> - List of infoTypes this rule set is applied to.
- rules List<Property Map>
- Set of rules to be applied to infoTypes. The rules are applied in order.
GooglePrivacyDlpV2KAnonymityConfig, GooglePrivacyDlpV2KAnonymityConfigArgs
- Entity
Id Pulumi.Google Native. DLP. V2. Inputs. Google Privacy Dlp V2Entity Id - Message indicating that multiple rows might be associated to a single individual. If the same entity_id is associated to multiple quasi-identifier tuples over distinct rows, we consider the entire collection of tuples as the composite quasi-identifier. This collection is a multiset: the order in which the different tuples appear in the dataset is ignored, but their frequency is taken into account. Important note: a maximum of 1000 rows can be associated to a single entity ID. If more rows are associated with the same entity ID, some might be ignored.
- Quasi
Ids List<Pulumi.Google Native. DLP. V2. Inputs. Google Privacy Dlp V2Field Id> - Set of fields to compute k-anonymity over. When multiple fields are specified, they are considered a single composite key. Structs and repeated data types are not supported; however, nested fields are supported so long as they are not structs themselves or nested within a repeated field.
- Entity
Id GooglePrivacy Dlp V2Entity Id - Message indicating that multiple rows might be associated to a single individual. If the same entity_id is associated to multiple quasi-identifier tuples over distinct rows, we consider the entire collection of tuples as the composite quasi-identifier. This collection is a multiset: the order in which the different tuples appear in the dataset is ignored, but their frequency is taken into account. Important note: a maximum of 1000 rows can be associated to a single entity ID. If more rows are associated with the same entity ID, some might be ignored.
- Quasi
Ids []GooglePrivacy Dlp V2Field Id - Set of fields to compute k-anonymity over. When multiple fields are specified, they are considered a single composite key. Structs and repeated data types are not supported; however, nested fields are supported so long as they are not structs themselves or nested within a repeated field.
- entity
Id GooglePrivacy Dlp V2Entity Id - Message indicating that multiple rows might be associated to a single individual. If the same entity_id is associated to multiple quasi-identifier tuples over distinct rows, we consider the entire collection of tuples as the composite quasi-identifier. This collection is a multiset: the order in which the different tuples appear in the dataset is ignored, but their frequency is taken into account. Important note: a maximum of 1000 rows can be associated to a single entity ID. If more rows are associated with the same entity ID, some might be ignored.
- quasi
Ids List<GooglePrivacy Dlp V2Field Id> - Set of fields to compute k-anonymity over. When multiple fields are specified, they are considered a single composite key. Structs and repeated data types are not supported; however, nested fields are supported so long as they are not structs themselves or nested within a repeated field.
- entity
Id GooglePrivacy Dlp V2Entity Id - Message indicating that multiple rows might be associated to a single individual. If the same entity_id is associated to multiple quasi-identifier tuples over distinct rows, we consider the entire collection of tuples as the composite quasi-identifier. This collection is a multiset: the order in which the different tuples appear in the dataset is ignored, but their frequency is taken into account. Important note: a maximum of 1000 rows can be associated to a single entity ID. If more rows are associated with the same entity ID, some might be ignored.
- quasi
Ids GooglePrivacy Dlp V2Field Id[] - Set of fields to compute k-anonymity over. When multiple fields are specified, they are considered a single composite key. Structs and repeated data types are not supported; however, nested fields are supported so long as they are not structs themselves or nested within a repeated field.
- entity_
id GooglePrivacy Dlp V2Entity Id - Message indicating that multiple rows might be associated to a single individual. If the same entity_id is associated to multiple quasi-identifier tuples over distinct rows, we consider the entire collection of tuples as the composite quasi-identifier. This collection is a multiset: the order in which the different tuples appear in the dataset is ignored, but their frequency is taken into account. Important note: a maximum of 1000 rows can be associated to a single entity ID. If more rows are associated with the same entity ID, some might be ignored.
- quasi_
ids Sequence[GooglePrivacy Dlp V2Field Id] - Set of fields to compute k-anonymity over. When multiple fields are specified, they are considered a single composite key. Structs and repeated data types are not supported; however, nested fields are supported so long as they are not structs themselves or nested within a repeated field.
- entity
Id Property Map - Message indicating that multiple rows might be associated to a single individual. If the same entity_id is associated to multiple quasi-identifier tuples over distinct rows, we consider the entire collection of tuples as the composite quasi-identifier. This collection is a multiset: the order in which the different tuples appear in the dataset is ignored, but their frequency is taken into account. Important note: a maximum of 1000 rows can be associated to a single entity ID. If more rows are associated with the same entity ID, some might be ignored.
- quasi
Ids List<Property Map> - Set of fields to compute k-anonymity over. When multiple fields are specified, they are considered a single composite key. Structs and repeated data types are not supported; however, nested fields are supported so long as they are not structs themselves or nested within a repeated field.
GooglePrivacyDlpV2KAnonymityConfigResponse, GooglePrivacyDlpV2KAnonymityConfigResponseArgs
- Entity
Id Pulumi.Google Native. DLP. V2. Inputs. Google Privacy Dlp V2Entity Id Response - Message indicating that multiple rows might be associated to a single individual. If the same entity_id is associated to multiple quasi-identifier tuples over distinct rows, we consider the entire collection of tuples as the composite quasi-identifier. This collection is a multiset: the order in which the different tuples appear in the dataset is ignored, but their frequency is taken into account. Important note: a maximum of 1000 rows can be associated to a single entity ID. If more rows are associated with the same entity ID, some might be ignored.
- Quasi
Ids List<Pulumi.Google Native. DLP. V2. Inputs. Google Privacy Dlp V2Field Id Response> - Set of fields to compute k-anonymity over. When multiple fields are specified, they are considered a single composite key. Structs and repeated data types are not supported; however, nested fields are supported so long as they are not structs themselves or nested within a repeated field.
- Entity
Id GooglePrivacy Dlp V2Entity Id Response - Message indicating that multiple rows might be associated to a single individual. If the same entity_id is associated to multiple quasi-identifier tuples over distinct rows, we consider the entire collection of tuples as the composite quasi-identifier. This collection is a multiset: the order in which the different tuples appear in the dataset is ignored, but their frequency is taken into account. Important note: a maximum of 1000 rows can be associated to a single entity ID. If more rows are associated with the same entity ID, some might be ignored.
- Quasi
Ids []GooglePrivacy Dlp V2Field Id Response - Set of fields to compute k-anonymity over. When multiple fields are specified, they are considered a single composite key. Structs and repeated data types are not supported; however, nested fields are supported so long as they are not structs themselves or nested within a repeated field.
- entity
Id GooglePrivacy Dlp V2Entity Id Response - Message indicating that multiple rows might be associated to a single individual. If the same entity_id is associated to multiple quasi-identifier tuples over distinct rows, we consider the entire collection of tuples as the composite quasi-identifier. This collection is a multiset: the order in which the different tuples appear in the dataset is ignored, but their frequency is taken into account. Important note: a maximum of 1000 rows can be associated to a single entity ID. If more rows are associated with the same entity ID, some might be ignored.
- quasi
Ids List<GooglePrivacy Dlp V2Field Id Response> - Set of fields to compute k-anonymity over. When multiple fields are specified, they are considered a single composite key. Structs and repeated data types are not supported; however, nested fields are supported so long as they are not structs themselves or nested within a repeated field.
- entity
Id GooglePrivacy Dlp V2Entity Id Response - Message indicating that multiple rows might be associated to a single individual. If the same entity_id is associated to multiple quasi-identifier tuples over distinct rows, we consider the entire collection of tuples as the composite quasi-identifier. This collection is a multiset: the order in which the different tuples appear in the dataset is ignored, but their frequency is taken into account. Important note: a maximum of 1000 rows can be associated to a single entity ID. If more rows are associated with the same entity ID, some might be ignored.
- quasi
Ids GooglePrivacy Dlp V2Field Id Response[] - Set of fields to compute k-anonymity over. When multiple fields are specified, they are considered a single composite key. Structs and repeated data types are not supported; however, nested fields are supported so long as they are not structs themselves or nested within a repeated field.
- entity_
id GooglePrivacy Dlp V2Entity Id Response - Message indicating that multiple rows might be associated to a single individual. If the same entity_id is associated to multiple quasi-identifier tuples over distinct rows, we consider the entire collection of tuples as the composite quasi-identifier. This collection is a multiset: the order in which the different tuples appear in the dataset is ignored, but their frequency is taken into account. Important note: a maximum of 1000 rows can be associated to a single entity ID. If more rows are associated with the same entity ID, some might be ignored.
- quasi_
ids Sequence[GooglePrivacy Dlp V2Field Id Response] - Set of fields to compute k-anonymity over. When multiple fields are specified, they are considered a single composite key. Structs and repeated data types are not supported; however, nested fields are supported so long as they are not structs themselves or nested within a repeated field.
- entity
Id Property Map - Message indicating that multiple rows might be associated to a single individual. If the same entity_id is associated to multiple quasi-identifier tuples over distinct rows, we consider the entire collection of tuples as the composite quasi-identifier. This collection is a multiset: the order in which the different tuples appear in the dataset is ignored, but their frequency is taken into account. Important note: a maximum of 1000 rows can be associated to a single entity ID. If more rows are associated with the same entity ID, some might be ignored.
- quasi
Ids List<Property Map> - Set of fields to compute k-anonymity over. When multiple fields are specified, they are considered a single composite key. Structs and repeated data types are not supported; however, nested fields are supported so long as they are not structs themselves or nested within a repeated field.
GooglePrivacyDlpV2KAnonymityEquivalenceClassResponse, GooglePrivacyDlpV2KAnonymityEquivalenceClassResponseArgs
- Equivalence
Class stringSize - Size of the equivalence class, for example number of rows with the above set of values.
- Quasi
Ids List<Pulumi.Values Google Native. DLP. V2. Inputs. Google Privacy Dlp V2Value Response> - Set of values defining the equivalence class. One value per quasi-identifier column in the original KAnonymity metric message. The order is always the same as the original request.
- Equivalence
Class stringSize - Size of the equivalence class, for example number of rows with the above set of values.
- Quasi
Ids []GoogleValues Privacy Dlp V2Value Response - Set of values defining the equivalence class. One value per quasi-identifier column in the original KAnonymity metric message. The order is always the same as the original request.
- equivalence
Class StringSize - Size of the equivalence class, for example number of rows with the above set of values.
- quasi
Ids List<GoogleValues Privacy Dlp V2Value Response> - Set of values defining the equivalence class. One value per quasi-identifier column in the original KAnonymity metric message. The order is always the same as the original request.
- equivalence
Class stringSize - Size of the equivalence class, for example number of rows with the above set of values.
- quasi
Ids GoogleValues Privacy Dlp V2Value Response[] - Set of values defining the equivalence class. One value per quasi-identifier column in the original KAnonymity metric message. The order is always the same as the original request.
- equivalence_
class_ strsize - Size of the equivalence class, for example number of rows with the above set of values.
- quasi_
ids_ Sequence[Googlevalues Privacy Dlp V2Value Response] - Set of values defining the equivalence class. One value per quasi-identifier column in the original KAnonymity metric message. The order is always the same as the original request.
- equivalence
Class StringSize - Size of the equivalence class, for example number of rows with the above set of values.
- quasi
Ids List<Property Map>Values - Set of values defining the equivalence class. One value per quasi-identifier column in the original KAnonymity metric message. The order is always the same as the original request.
GooglePrivacyDlpV2KAnonymityHistogramBucketResponse, GooglePrivacyDlpV2KAnonymityHistogramBucketResponseArgs
- Bucket
Size string - Total number of equivalence classes in this bucket.
- Bucket
Value stringCount - Total number of distinct equivalence classes in this bucket.
- Bucket
Values List<Pulumi.Google Native. DLP. V2. Inputs. Google Privacy Dlp V2KAnonymity Equivalence Class Response> - Sample of equivalence classes in this bucket. The total number of classes returned per bucket is capped at 20.
- Equivalence
Class stringSize Lower Bound - Lower bound on the size of the equivalence classes in this bucket.
- Equivalence
Class stringSize Upper Bound - Upper bound on the size of the equivalence classes in this bucket.
- Bucket
Size string - Total number of equivalence classes in this bucket.
- Bucket
Value stringCount - Total number of distinct equivalence classes in this bucket.
- Bucket
Values []GooglePrivacy Dlp V2KAnonymity Equivalence Class Response - Sample of equivalence classes in this bucket. The total number of classes returned per bucket is capped at 20.
- Equivalence
Class stringSize Lower Bound - Lower bound on the size of the equivalence classes in this bucket.
- Equivalence
Class stringSize Upper Bound - Upper bound on the size of the equivalence classes in this bucket.
- bucket
Size String - Total number of equivalence classes in this bucket.
- bucket
Value StringCount - Total number of distinct equivalence classes in this bucket.
- bucket
Values List<GooglePrivacy Dlp V2KAnonymity Equivalence Class Response> - Sample of equivalence classes in this bucket. The total number of classes returned per bucket is capped at 20.
- equivalence
Class StringSize Lower Bound - Lower bound on the size of the equivalence classes in this bucket.
- equivalence
Class StringSize Upper Bound - Upper bound on the size of the equivalence classes in this bucket.
- bucket
Size string - Total number of equivalence classes in this bucket.
- bucket
Value stringCount - Total number of distinct equivalence classes in this bucket.
- bucket
Values GooglePrivacy Dlp V2KAnonymity Equivalence Class Response[] - Sample of equivalence classes in this bucket. The total number of classes returned per bucket is capped at 20.
- equivalence
Class stringSize Lower Bound - Lower bound on the size of the equivalence classes in this bucket.
- equivalence
Class stringSize Upper Bound - Upper bound on the size of the equivalence classes in this bucket.
- bucket_
size str - Total number of equivalence classes in this bucket.
- bucket_
value_ strcount - Total number of distinct equivalence classes in this bucket.
- bucket_
values Sequence[GooglePrivacy Dlp V2KAnonymity Equivalence Class Response] - Sample of equivalence classes in this bucket. The total number of classes returned per bucket is capped at 20.
- equivalence_
class_ strsize_ lower_ bound - Lower bound on the size of the equivalence classes in this bucket.
- equivalence_
class_ strsize_ upper_ bound - Upper bound on the size of the equivalence classes in this bucket.
- bucket
Size String - Total number of equivalence classes in this bucket.
- bucket
Value StringCount - Total number of distinct equivalence classes in this bucket.
- bucket
Values List<Property Map> - Sample of equivalence classes in this bucket. The total number of classes returned per bucket is capped at 20.
- equivalence
Class StringSize Lower Bound - Lower bound on the size of the equivalence classes in this bucket.
- equivalence
Class StringSize Upper Bound - Upper bound on the size of the equivalence classes in this bucket.
GooglePrivacyDlpV2KAnonymityResultResponse, GooglePrivacyDlpV2KAnonymityResultResponseArgs
- Equivalence
Class List<Pulumi.Histogram Buckets Google Native. DLP. V2. Inputs. Google Privacy Dlp V2KAnonymity Histogram Bucket Response> - Histogram of k-anonymity equivalence classes.
- Equivalence
Class []GoogleHistogram Buckets Privacy Dlp V2KAnonymity Histogram Bucket Response - Histogram of k-anonymity equivalence classes.
- equivalence
Class List<GoogleHistogram Buckets Privacy Dlp V2KAnonymity Histogram Bucket Response> - Histogram of k-anonymity equivalence classes.
- equivalence
Class GoogleHistogram Buckets Privacy Dlp V2KAnonymity Histogram Bucket Response[] - Histogram of k-anonymity equivalence classes.
- equivalence_
class_ Sequence[Googlehistogram_ buckets Privacy Dlp V2KAnonymity Histogram Bucket Response] - Histogram of k-anonymity equivalence classes.
- equivalence
Class List<Property Map>Histogram Buckets - Histogram of k-anonymity equivalence classes.
GooglePrivacyDlpV2KMapEstimationConfig, GooglePrivacyDlpV2KMapEstimationConfigArgs
- Quasi
Ids List<Pulumi.Google Native. DLP. V2. Inputs. Google Privacy Dlp V2Tagged Field> - Fields considered to be quasi-identifiers. No two columns can have the same tag.
- Auxiliary
Tables List<Pulumi.Google Native. DLP. V2. Inputs. Google Privacy Dlp V2Auxiliary Table> - Several auxiliary tables can be used in the analysis. Each custom_tag used to tag a quasi-identifiers column must appear in exactly one column of one auxiliary table.
- Region
Code string - ISO 3166-1 alpha-2 region code to use in the statistical modeling. Set if no column is tagged with a region-specific InfoType (like US_ZIP_5) or a region code.
- Quasi
Ids []GooglePrivacy Dlp V2Tagged Field - Fields considered to be quasi-identifiers. No two columns can have the same tag.
- Auxiliary
Tables []GooglePrivacy Dlp V2Auxiliary Table - Several auxiliary tables can be used in the analysis. Each custom_tag used to tag a quasi-identifiers column must appear in exactly one column of one auxiliary table.
- Region
Code string - ISO 3166-1 alpha-2 region code to use in the statistical modeling. Set if no column is tagged with a region-specific InfoType (like US_ZIP_5) or a region code.
- quasi
Ids List<GooglePrivacy Dlp V2Tagged Field> - Fields considered to be quasi-identifiers. No two columns can have the same tag.
- auxiliary
Tables List<GooglePrivacy Dlp V2Auxiliary Table> - Several auxiliary tables can be used in the analysis. Each custom_tag used to tag a quasi-identifiers column must appear in exactly one column of one auxiliary table.
- region
Code String - ISO 3166-1 alpha-2 region code to use in the statistical modeling. Set if no column is tagged with a region-specific InfoType (like US_ZIP_5) or a region code.
- quasi
Ids GooglePrivacy Dlp V2Tagged Field[] - Fields considered to be quasi-identifiers. No two columns can have the same tag.
- auxiliary
Tables GooglePrivacy Dlp V2Auxiliary Table[] - Several auxiliary tables can be used in the analysis. Each custom_tag used to tag a quasi-identifiers column must appear in exactly one column of one auxiliary table.
- region
Code string - ISO 3166-1 alpha-2 region code to use in the statistical modeling. Set if no column is tagged with a region-specific InfoType (like US_ZIP_5) or a region code.
- quasi_
ids Sequence[GooglePrivacy Dlp V2Tagged Field] - Fields considered to be quasi-identifiers. No two columns can have the same tag.
- auxiliary_
tables Sequence[GooglePrivacy Dlp V2Auxiliary Table] - Several auxiliary tables can be used in the analysis. Each custom_tag used to tag a quasi-identifiers column must appear in exactly one column of one auxiliary table.
- region_
code str - ISO 3166-1 alpha-2 region code to use in the statistical modeling. Set if no column is tagged with a region-specific InfoType (like US_ZIP_5) or a region code.
- quasi
Ids List<Property Map> - Fields considered to be quasi-identifiers. No two columns can have the same tag.
- auxiliary
Tables List<Property Map> - Several auxiliary tables can be used in the analysis. Each custom_tag used to tag a quasi-identifiers column must appear in exactly one column of one auxiliary table.
- region
Code String - ISO 3166-1 alpha-2 region code to use in the statistical modeling. Set if no column is tagged with a region-specific InfoType (like US_ZIP_5) or a region code.
GooglePrivacyDlpV2KMapEstimationConfigResponse, GooglePrivacyDlpV2KMapEstimationConfigResponseArgs
- Auxiliary
Tables List<Pulumi.Google Native. DLP. V2. Inputs. Google Privacy Dlp V2Auxiliary Table Response> - Several auxiliary tables can be used in the analysis. Each custom_tag used to tag a quasi-identifiers column must appear in exactly one column of one auxiliary table.
- Quasi
Ids List<Pulumi.Google Native. DLP. V2. Inputs. Google Privacy Dlp V2Tagged Field Response> - Fields considered to be quasi-identifiers. No two columns can have the same tag.
- Region
Code string - ISO 3166-1 alpha-2 region code to use in the statistical modeling. Set if no column is tagged with a region-specific InfoType (like US_ZIP_5) or a region code.
- Auxiliary
Tables []GooglePrivacy Dlp V2Auxiliary Table Response - Several auxiliary tables can be used in the analysis. Each custom_tag used to tag a quasi-identifiers column must appear in exactly one column of one auxiliary table.
- Quasi
Ids []GooglePrivacy Dlp V2Tagged Field Response - Fields considered to be quasi-identifiers. No two columns can have the same tag.
- Region
Code string - ISO 3166-1 alpha-2 region code to use in the statistical modeling. Set if no column is tagged with a region-specific InfoType (like US_ZIP_5) or a region code.
- auxiliary
Tables List<GooglePrivacy Dlp V2Auxiliary Table Response> - Several auxiliary tables can be used in the analysis. Each custom_tag used to tag a quasi-identifiers column must appear in exactly one column of one auxiliary table.
- quasi
Ids List<GooglePrivacy Dlp V2Tagged Field Response> - Fields considered to be quasi-identifiers. No two columns can have the same tag.
- region
Code String - ISO 3166-1 alpha-2 region code to use in the statistical modeling. Set if no column is tagged with a region-specific InfoType (like US_ZIP_5) or a region code.
- auxiliary
Tables GooglePrivacy Dlp V2Auxiliary Table Response[] - Several auxiliary tables can be used in the analysis. Each custom_tag used to tag a quasi-identifiers column must appear in exactly one column of one auxiliary table.
- quasi
Ids GooglePrivacy Dlp V2Tagged Field Response[] - Fields considered to be quasi-identifiers. No two columns can have the same tag.
- region
Code string - ISO 3166-1 alpha-2 region code to use in the statistical modeling. Set if no column is tagged with a region-specific InfoType (like US_ZIP_5) or a region code.
- auxiliary_
tables Sequence[GooglePrivacy Dlp V2Auxiliary Table Response] - Several auxiliary tables can be used in the analysis. Each custom_tag used to tag a quasi-identifiers column must appear in exactly one column of one auxiliary table.
- quasi_
ids Sequence[GooglePrivacy Dlp V2Tagged Field Response] - Fields considered to be quasi-identifiers. No two columns can have the same tag.
- region_
code str - ISO 3166-1 alpha-2 region code to use in the statistical modeling. Set if no column is tagged with a region-specific InfoType (like US_ZIP_5) or a region code.
- auxiliary
Tables List<Property Map> - Several auxiliary tables can be used in the analysis. Each custom_tag used to tag a quasi-identifiers column must appear in exactly one column of one auxiliary table.
- quasi
Ids List<Property Map> - Fields considered to be quasi-identifiers. No two columns can have the same tag.
- region
Code String - ISO 3166-1 alpha-2 region code to use in the statistical modeling. Set if no column is tagged with a region-specific InfoType (like US_ZIP_5) or a region code.
GooglePrivacyDlpV2KMapEstimationHistogramBucketResponse, GooglePrivacyDlpV2KMapEstimationHistogramBucketResponseArgs
- Bucket
Size string - Number of records within these anonymity bounds.
- Bucket
Value stringCount - Total number of distinct quasi-identifier tuple values in this bucket.
- Bucket
Values List<Pulumi.Google Native. DLP. V2. Inputs. Google Privacy Dlp V2KMap Estimation Quasi Id Values Response> - Sample of quasi-identifier tuple values in this bucket. The total number of classes returned per bucket is capped at 20.
- Max
Anonymity string - Always greater than or equal to min_anonymity.
- Min
Anonymity string - Always positive.
- Bucket
Size string - Number of records within these anonymity bounds.
- Bucket
Value stringCount - Total number of distinct quasi-identifier tuple values in this bucket.
- Bucket
Values []GooglePrivacy Dlp V2KMap Estimation Quasi Id Values Response - Sample of quasi-identifier tuple values in this bucket. The total number of classes returned per bucket is capped at 20.
- Max
Anonymity string - Always greater than or equal to min_anonymity.
- Min
Anonymity string - Always positive.
- bucket
Size String - Number of records within these anonymity bounds.
- bucket
Value StringCount - Total number of distinct quasi-identifier tuple values in this bucket.
- bucket
Values List<GooglePrivacy Dlp V2KMap Estimation Quasi Id Values Response> - Sample of quasi-identifier tuple values in this bucket. The total number of classes returned per bucket is capped at 20.
- max
Anonymity String - Always greater than or equal to min_anonymity.
- min
Anonymity String - Always positive.
- bucket
Size string - Number of records within these anonymity bounds.
- bucket
Value stringCount - Total number of distinct quasi-identifier tuple values in this bucket.
- bucket
Values GooglePrivacy Dlp V2KMap Estimation Quasi Id Values Response[] - Sample of quasi-identifier tuple values in this bucket. The total number of classes returned per bucket is capped at 20.
- max
Anonymity string - Always greater than or equal to min_anonymity.
- min
Anonymity string - Always positive.
- bucket_
size str - Number of records within these anonymity bounds.
- bucket_
value_ strcount - Total number of distinct quasi-identifier tuple values in this bucket.
- bucket_
values Sequence[GooglePrivacy Dlp V2KMap Estimation Quasi Id Values Response] - Sample of quasi-identifier tuple values in this bucket. The total number of classes returned per bucket is capped at 20.
- max_
anonymity str - Always greater than or equal to min_anonymity.
- min_
anonymity str - Always positive.
- bucket
Size String - Number of records within these anonymity bounds.
- bucket
Value StringCount - Total number of distinct quasi-identifier tuple values in this bucket.
- bucket
Values List<Property Map> - Sample of quasi-identifier tuple values in this bucket. The total number of classes returned per bucket is capped at 20.
- max
Anonymity String - Always greater than or equal to min_anonymity.
- min
Anonymity String - Always positive.
GooglePrivacyDlpV2KMapEstimationQuasiIdValuesResponse, GooglePrivacyDlpV2KMapEstimationQuasiIdValuesResponseArgs
- Estimated
Anonymity string - The estimated anonymity for these quasi-identifier values.
- Quasi
Ids List<Pulumi.Values Google Native. DLP. V2. Inputs. Google Privacy Dlp V2Value Response> - The quasi-identifier values.
- Estimated
Anonymity string - The estimated anonymity for these quasi-identifier values.
- Quasi
Ids []GoogleValues Privacy Dlp V2Value Response - The quasi-identifier values.
- estimated
Anonymity String - The estimated anonymity for these quasi-identifier values.
- quasi
Ids List<GoogleValues Privacy Dlp V2Value Response> - The quasi-identifier values.
- estimated
Anonymity string - The estimated anonymity for these quasi-identifier values.
- quasi
Ids GoogleValues Privacy Dlp V2Value Response[] - The quasi-identifier values.
- estimated_
anonymity str - The estimated anonymity for these quasi-identifier values.
- quasi_
ids_ Sequence[Googlevalues Privacy Dlp V2Value Response] - The quasi-identifier values.
- estimated
Anonymity String - The estimated anonymity for these quasi-identifier values.
- quasi
Ids List<Property Map>Values - The quasi-identifier values.
GooglePrivacyDlpV2KMapEstimationResultResponse, GooglePrivacyDlpV2KMapEstimationResultResponseArgs
- KMap
Estimation List<Pulumi.Histogram Google Native. DLP. V2. Inputs. Google Privacy Dlp V2KMap Estimation Histogram Bucket Response> - The intervals [min_anonymity, max_anonymity] do not overlap. If a value doesn't correspond to any such interval, the associated frequency is zero. For example, the following records: {min_anonymity: 1, max_anonymity: 1, frequency: 17} {min_anonymity: 2, max_anonymity: 3, frequency: 42} {min_anonymity: 5, max_anonymity: 10, frequency: 99} mean that there are no record with an estimated anonymity of 4, 5, or larger than 10.
- KMap
Estimation []GoogleHistogram Privacy Dlp V2KMap Estimation Histogram Bucket Response - The intervals [min_anonymity, max_anonymity] do not overlap. If a value doesn't correspond to any such interval, the associated frequency is zero. For example, the following records: {min_anonymity: 1, max_anonymity: 1, frequency: 17} {min_anonymity: 2, max_anonymity: 3, frequency: 42} {min_anonymity: 5, max_anonymity: 10, frequency: 99} mean that there are no record with an estimated anonymity of 4, 5, or larger than 10.
- k
Map List<GoogleEstimation Histogram Privacy Dlp V2KMap Estimation Histogram Bucket Response> - The intervals [min_anonymity, max_anonymity] do not overlap. If a value doesn't correspond to any such interval, the associated frequency is zero. For example, the following records: {min_anonymity: 1, max_anonymity: 1, frequency: 17} {min_anonymity: 2, max_anonymity: 3, frequency: 42} {min_anonymity: 5, max_anonymity: 10, frequency: 99} mean that there are no record with an estimated anonymity of 4, 5, or larger than 10.
- k
Map GoogleEstimation Histogram Privacy Dlp V2KMap Estimation Histogram Bucket Response[] - The intervals [min_anonymity, max_anonymity] do not overlap. If a value doesn't correspond to any such interval, the associated frequency is zero. For example, the following records: {min_anonymity: 1, max_anonymity: 1, frequency: 17} {min_anonymity: 2, max_anonymity: 3, frequency: 42} {min_anonymity: 5, max_anonymity: 10, frequency: 99} mean that there are no record with an estimated anonymity of 4, 5, or larger than 10.
- k_
map_ Sequence[Googleestimation_ histogram Privacy Dlp V2KMap Estimation Histogram Bucket Response] - The intervals [min_anonymity, max_anonymity] do not overlap. If a value doesn't correspond to any such interval, the associated frequency is zero. For example, the following records: {min_anonymity: 1, max_anonymity: 1, frequency: 17} {min_anonymity: 2, max_anonymity: 3, frequency: 42} {min_anonymity: 5, max_anonymity: 10, frequency: 99} mean that there are no record with an estimated anonymity of 4, 5, or larger than 10.
- k
Map List<Property Map>Estimation Histogram - The intervals [min_anonymity, max_anonymity] do not overlap. If a value doesn't correspond to any such interval, the associated frequency is zero. For example, the following records: {min_anonymity: 1, max_anonymity: 1, frequency: 17} {min_anonymity: 2, max_anonymity: 3, frequency: 42} {min_anonymity: 5, max_anonymity: 10, frequency: 99} mean that there are no record with an estimated anonymity of 4, 5, or larger than 10.
GooglePrivacyDlpV2KindExpression, GooglePrivacyDlpV2KindExpressionArgs
- Name string
- The name of the kind.
- Name string
- The name of the kind.
- name String
- The name of the kind.
- name string
- The name of the kind.
- name str
- The name of the kind.
- name String
- The name of the kind.
GooglePrivacyDlpV2KindExpressionResponse, GooglePrivacyDlpV2KindExpressionResponseArgs
- Name string
- The name of the kind.
- Name string
- The name of the kind.
- name String
- The name of the kind.
- name string
- The name of the kind.
- name str
- The name of the kind.
- name String
- The name of the kind.
GooglePrivacyDlpV2KmsWrappedCryptoKeyResponse, GooglePrivacyDlpV2KmsWrappedCryptoKeyResponseArgs
- Crypto
Key stringName - The resource name of the KMS CryptoKey to use for unwrapping.
- Wrapped
Key string - The wrapped data crypto key.
- Crypto
Key stringName - The resource name of the KMS CryptoKey to use for unwrapping.
- Wrapped
Key string - The wrapped data crypto key.
- crypto
Key StringName - The resource name of the KMS CryptoKey to use for unwrapping.
- wrapped
Key String - The wrapped data crypto key.
- crypto
Key stringName - The resource name of the KMS CryptoKey to use for unwrapping.
- wrapped
Key string - The wrapped data crypto key.
- crypto_
key_ strname - The resource name of the KMS CryptoKey to use for unwrapping.
- wrapped_
key str - The wrapped data crypto key.
- crypto
Key StringName - The resource name of the KMS CryptoKey to use for unwrapping.
- wrapped
Key String - The wrapped data crypto key.
GooglePrivacyDlpV2LDiversityConfig, GooglePrivacyDlpV2LDiversityConfigArgs
- Quasi
Ids List<Pulumi.Google Native. DLP. V2. Inputs. Google Privacy Dlp V2Field Id> - Set of quasi-identifiers indicating how equivalence classes are defined for the l-diversity computation. When multiple fields are specified, they are considered a single composite key.
- Sensitive
Attribute Pulumi.Google Native. DLP. V2. Inputs. Google Privacy Dlp V2Field Id - Sensitive field for computing the l-value.
- Quasi
Ids []GooglePrivacy Dlp V2Field Id - Set of quasi-identifiers indicating how equivalence classes are defined for the l-diversity computation. When multiple fields are specified, they are considered a single composite key.
- Sensitive
Attribute GooglePrivacy Dlp V2Field Id - Sensitive field for computing the l-value.
- quasi
Ids List<GooglePrivacy Dlp V2Field Id> - Set of quasi-identifiers indicating how equivalence classes are defined for the l-diversity computation. When multiple fields are specified, they are considered a single composite key.
- sensitive
Attribute GooglePrivacy Dlp V2Field Id - Sensitive field for computing the l-value.
- quasi
Ids GooglePrivacy Dlp V2Field Id[] - Set of quasi-identifiers indicating how equivalence classes are defined for the l-diversity computation. When multiple fields are specified, they are considered a single composite key.
- sensitive
Attribute GooglePrivacy Dlp V2Field Id - Sensitive field for computing the l-value.
- quasi_
ids Sequence[GooglePrivacy Dlp V2Field Id] - Set of quasi-identifiers indicating how equivalence classes are defined for the l-diversity computation. When multiple fields are specified, they are considered a single composite key.
- sensitive_
attribute GooglePrivacy Dlp V2Field Id - Sensitive field for computing the l-value.
- quasi
Ids List<Property Map> - Set of quasi-identifiers indicating how equivalence classes are defined for the l-diversity computation. When multiple fields are specified, they are considered a single composite key.
- sensitive
Attribute Property Map - Sensitive field for computing the l-value.
GooglePrivacyDlpV2LDiversityConfigResponse, GooglePrivacyDlpV2LDiversityConfigResponseArgs
- Quasi
Ids List<Pulumi.Google Native. DLP. V2. Inputs. Google Privacy Dlp V2Field Id Response> - Set of quasi-identifiers indicating how equivalence classes are defined for the l-diversity computation. When multiple fields are specified, they are considered a single composite key.
- Sensitive
Attribute Pulumi.Google Native. DLP. V2. Inputs. Google Privacy Dlp V2Field Id Response - Sensitive field for computing the l-value.
- Quasi
Ids []GooglePrivacy Dlp V2Field Id Response - Set of quasi-identifiers indicating how equivalence classes are defined for the l-diversity computation. When multiple fields are specified, they are considered a single composite key.
- Sensitive
Attribute GooglePrivacy Dlp V2Field Id Response - Sensitive field for computing the l-value.
- quasi
Ids List<GooglePrivacy Dlp V2Field Id Response> - Set of quasi-identifiers indicating how equivalence classes are defined for the l-diversity computation. When multiple fields are specified, they are considered a single composite key.
- sensitive
Attribute GooglePrivacy Dlp V2Field Id Response - Sensitive field for computing the l-value.
- quasi
Ids GooglePrivacy Dlp V2Field Id Response[] - Set of quasi-identifiers indicating how equivalence classes are defined for the l-diversity computation. When multiple fields are specified, they are considered a single composite key.
- sensitive
Attribute GooglePrivacy Dlp V2Field Id Response - Sensitive field for computing the l-value.
- quasi_
ids Sequence[GooglePrivacy Dlp V2Field Id Response] - Set of quasi-identifiers indicating how equivalence classes are defined for the l-diversity computation. When multiple fields are specified, they are considered a single composite key.
- sensitive_
attribute GooglePrivacy Dlp V2Field Id Response - Sensitive field for computing the l-value.
- quasi
Ids List<Property Map> - Set of quasi-identifiers indicating how equivalence classes are defined for the l-diversity computation. When multiple fields are specified, they are considered a single composite key.
- sensitive
Attribute Property Map - Sensitive field for computing the l-value.
GooglePrivacyDlpV2LDiversityEquivalenceClassResponse, GooglePrivacyDlpV2LDiversityEquivalenceClassResponseArgs
- Equivalence
Class stringSize - Size of the k-anonymity equivalence class.
- Num
Distinct stringSensitive Values - Number of distinct sensitive values in this equivalence class.
- Quasi
Ids List<Pulumi.Values Google Native. DLP. V2. Inputs. Google Privacy Dlp V2Value Response> - Quasi-identifier values defining the k-anonymity equivalence class. The order is always the same as the original request.
- Top
Sensitive List<Pulumi.Values Google Native. DLP. V2. Inputs. Google Privacy Dlp V2Value Frequency Response> - Estimated frequencies of top sensitive values.
- Equivalence
Class stringSize - Size of the k-anonymity equivalence class.
- Num
Distinct stringSensitive Values - Number of distinct sensitive values in this equivalence class.
- Quasi
Ids []GoogleValues Privacy Dlp V2Value Response - Quasi-identifier values defining the k-anonymity equivalence class. The order is always the same as the original request.
- Top
Sensitive []GoogleValues Privacy Dlp V2Value Frequency Response - Estimated frequencies of top sensitive values.
- equivalence
Class StringSize - Size of the k-anonymity equivalence class.
- num
Distinct StringSensitive Values - Number of distinct sensitive values in this equivalence class.
- quasi
Ids List<GoogleValues Privacy Dlp V2Value Response> - Quasi-identifier values defining the k-anonymity equivalence class. The order is always the same as the original request.
- top
Sensitive List<GoogleValues Privacy Dlp V2Value Frequency Response> - Estimated frequencies of top sensitive values.
- equivalence
Class stringSize - Size of the k-anonymity equivalence class.
- num
Distinct stringSensitive Values - Number of distinct sensitive values in this equivalence class.
- quasi
Ids GoogleValues Privacy Dlp V2Value Response[] - Quasi-identifier values defining the k-anonymity equivalence class. The order is always the same as the original request.
- top
Sensitive GoogleValues Privacy Dlp V2Value Frequency Response[] - Estimated frequencies of top sensitive values.
- equivalence_
class_ strsize - Size of the k-anonymity equivalence class.
- num_
distinct_ strsensitive_ values - Number of distinct sensitive values in this equivalence class.
- quasi_
ids_ Sequence[Googlevalues Privacy Dlp V2Value Response] - Quasi-identifier values defining the k-anonymity equivalence class. The order is always the same as the original request.
- top_
sensitive_ Sequence[Googlevalues Privacy Dlp V2Value Frequency Response] - Estimated frequencies of top sensitive values.
- equivalence
Class StringSize - Size of the k-anonymity equivalence class.
- num
Distinct StringSensitive Values - Number of distinct sensitive values in this equivalence class.
- quasi
Ids List<Property Map>Values - Quasi-identifier values defining the k-anonymity equivalence class. The order is always the same as the original request.
- top
Sensitive List<Property Map>Values - Estimated frequencies of top sensitive values.
GooglePrivacyDlpV2LDiversityHistogramBucketResponse, GooglePrivacyDlpV2LDiversityHistogramBucketResponseArgs
- Bucket
Size string - Total number of equivalence classes in this bucket.
- Bucket
Value stringCount - Total number of distinct equivalence classes in this bucket.
- Bucket
Values List<Pulumi.Google Native. DLP. V2. Inputs. Google Privacy Dlp V2LDiversity Equivalence Class Response> - Sample of equivalence classes in this bucket. The total number of classes returned per bucket is capped at 20.
- Sensitive
Value stringFrequency Lower Bound - Lower bound on the sensitive value frequencies of the equivalence classes in this bucket.
- Sensitive
Value stringFrequency Upper Bound - Upper bound on the sensitive value frequencies of the equivalence classes in this bucket.
- Bucket
Size string - Total number of equivalence classes in this bucket.
- Bucket
Value stringCount - Total number of distinct equivalence classes in this bucket.
- Bucket
Values []GooglePrivacy Dlp V2LDiversity Equivalence Class Response - Sample of equivalence classes in this bucket. The total number of classes returned per bucket is capped at 20.
- Sensitive
Value stringFrequency Lower Bound - Lower bound on the sensitive value frequencies of the equivalence classes in this bucket.
- Sensitive
Value stringFrequency Upper Bound - Upper bound on the sensitive value frequencies of the equivalence classes in this bucket.
- bucket
Size String - Total number of equivalence classes in this bucket.
- bucket
Value StringCount - Total number of distinct equivalence classes in this bucket.
- bucket
Values List<GooglePrivacy Dlp V2LDiversity Equivalence Class Response> - Sample of equivalence classes in this bucket. The total number of classes returned per bucket is capped at 20.
- sensitive
Value StringFrequency Lower Bound - Lower bound on the sensitive value frequencies of the equivalence classes in this bucket.
- sensitive
Value StringFrequency Upper Bound - Upper bound on the sensitive value frequencies of the equivalence classes in this bucket.
- bucket
Size string - Total number of equivalence classes in this bucket.
- bucket
Value stringCount - Total number of distinct equivalence classes in this bucket.
- bucket
Values GooglePrivacy Dlp V2LDiversity Equivalence Class Response[] - Sample of equivalence classes in this bucket. The total number of classes returned per bucket is capped at 20.
- sensitive
Value stringFrequency Lower Bound - Lower bound on the sensitive value frequencies of the equivalence classes in this bucket.
- sensitive
Value stringFrequency Upper Bound - Upper bound on the sensitive value frequencies of the equivalence classes in this bucket.
- bucket_
size str - Total number of equivalence classes in this bucket.
- bucket_
value_ strcount - Total number of distinct equivalence classes in this bucket.
- bucket_
values Sequence[GooglePrivacy Dlp V2LDiversity Equivalence Class Response] - Sample of equivalence classes in this bucket. The total number of classes returned per bucket is capped at 20.
- sensitive_
value_ strfrequency_ lower_ bound - Lower bound on the sensitive value frequencies of the equivalence classes in this bucket.
- sensitive_
value_ strfrequency_ upper_ bound - Upper bound on the sensitive value frequencies of the equivalence classes in this bucket.
- bucket
Size String - Total number of equivalence classes in this bucket.
- bucket
Value StringCount - Total number of distinct equivalence classes in this bucket.
- bucket
Values List<Property Map> - Sample of equivalence classes in this bucket. The total number of classes returned per bucket is capped at 20.
- sensitive
Value StringFrequency Lower Bound - Lower bound on the sensitive value frequencies of the equivalence classes in this bucket.
- sensitive
Value StringFrequency Upper Bound - Upper bound on the sensitive value frequencies of the equivalence classes in this bucket.
GooglePrivacyDlpV2LDiversityResultResponse, GooglePrivacyDlpV2LDiversityResultResponseArgs
- Sensitive
Value List<Pulumi.Frequency Histogram Buckets Google Native. DLP. V2. Inputs. Google Privacy Dlp V2LDiversity Histogram Bucket Response> - Histogram of l-diversity equivalence class sensitive value frequencies.
- Sensitive
Value []GoogleFrequency Histogram Buckets Privacy Dlp V2LDiversity Histogram Bucket Response - Histogram of l-diversity equivalence class sensitive value frequencies.
- sensitive
Value List<GoogleFrequency Histogram Buckets Privacy Dlp V2LDiversity Histogram Bucket Response> - Histogram of l-diversity equivalence class sensitive value frequencies.
- sensitive
Value GoogleFrequency Histogram Buckets Privacy Dlp V2LDiversity Histogram Bucket Response[] - Histogram of l-diversity equivalence class sensitive value frequencies.
- sensitive_
value_ Sequence[Googlefrequency_ histogram_ buckets Privacy Dlp V2LDiversity Histogram Bucket Response] - Histogram of l-diversity equivalence class sensitive value frequencies.
- sensitive
Value List<Property Map>Frequency Histogram Buckets - Histogram of l-diversity equivalence class sensitive value frequencies.
GooglePrivacyDlpV2LikelihoodAdjustment, GooglePrivacyDlpV2LikelihoodAdjustmentArgs
- Fixed
Likelihood Pulumi.Google Native. DLP. V2. Google Privacy Dlp V2Likelihood Adjustment Fixed Likelihood - Set the likelihood of a finding to a fixed value.
- Relative
Likelihood int - Increase or decrease the likelihood by the specified number of levels. For example, if a finding would be
POSSIBLEwithout the detection rule andrelative_likelihoodis 1, then it is upgraded toLIKELY, while a value of -1 would downgrade it toUNLIKELY. Likelihood may never drop belowVERY_UNLIKELYor exceedVERY_LIKELY, so applying an adjustment of 1 followed by an adjustment of -1 when base likelihood isVERY_LIKELYwill result in a final likelihood ofLIKELY.
- Fixed
Likelihood GooglePrivacy Dlp V2Likelihood Adjustment Fixed Likelihood - Set the likelihood of a finding to a fixed value.
- Relative
Likelihood int - Increase or decrease the likelihood by the specified number of levels. For example, if a finding would be
POSSIBLEwithout the detection rule andrelative_likelihoodis 1, then it is upgraded toLIKELY, while a value of -1 would downgrade it toUNLIKELY. Likelihood may never drop belowVERY_UNLIKELYor exceedVERY_LIKELY, so applying an adjustment of 1 followed by an adjustment of -1 when base likelihood isVERY_LIKELYwill result in a final likelihood ofLIKELY.
- fixed
Likelihood GooglePrivacy Dlp V2Likelihood Adjustment Fixed Likelihood - Set the likelihood of a finding to a fixed value.
- relative
Likelihood Integer - Increase or decrease the likelihood by the specified number of levels. For example, if a finding would be
POSSIBLEwithout the detection rule andrelative_likelihoodis 1, then it is upgraded toLIKELY, while a value of -1 would downgrade it toUNLIKELY. Likelihood may never drop belowVERY_UNLIKELYor exceedVERY_LIKELY, so applying an adjustment of 1 followed by an adjustment of -1 when base likelihood isVERY_LIKELYwill result in a final likelihood ofLIKELY.
- fixed
Likelihood GooglePrivacy Dlp V2Likelihood Adjustment Fixed Likelihood - Set the likelihood of a finding to a fixed value.
- relative
Likelihood number - Increase or decrease the likelihood by the specified number of levels. For example, if a finding would be
POSSIBLEwithout the detection rule andrelative_likelihoodis 1, then it is upgraded toLIKELY, while a value of -1 would downgrade it toUNLIKELY. Likelihood may never drop belowVERY_UNLIKELYor exceedVERY_LIKELY, so applying an adjustment of 1 followed by an adjustment of -1 when base likelihood isVERY_LIKELYwill result in a final likelihood ofLIKELY.
- fixed_
likelihood GooglePrivacy Dlp V2Likelihood Adjustment Fixed Likelihood - Set the likelihood of a finding to a fixed value.
- relative_
likelihood int - Increase or decrease the likelihood by the specified number of levels. For example, if a finding would be
POSSIBLEwithout the detection rule andrelative_likelihoodis 1, then it is upgraded toLIKELY, while a value of -1 would downgrade it toUNLIKELY. Likelihood may never drop belowVERY_UNLIKELYor exceedVERY_LIKELY, so applying an adjustment of 1 followed by an adjustment of -1 when base likelihood isVERY_LIKELYwill result in a final likelihood ofLIKELY.
- fixed
Likelihood "LIKELIHOOD_UNSPECIFIED" | "VERY_UNLIKELY" | "UNLIKELY" | "POSSIBLE" | "LIKELY" | "VERY_LIKELY" - Set the likelihood of a finding to a fixed value.
- relative
Likelihood Number - Increase or decrease the likelihood by the specified number of levels. For example, if a finding would be
POSSIBLEwithout the detection rule andrelative_likelihoodis 1, then it is upgraded toLIKELY, while a value of -1 would downgrade it toUNLIKELY. Likelihood may never drop belowVERY_UNLIKELYor exceedVERY_LIKELY, so applying an adjustment of 1 followed by an adjustment of -1 when base likelihood isVERY_LIKELYwill result in a final likelihood ofLIKELY.
GooglePrivacyDlpV2LikelihoodAdjustmentFixedLikelihood, GooglePrivacyDlpV2LikelihoodAdjustmentFixedLikelihoodArgs
- Likelihood
Unspecified - LIKELIHOOD_UNSPECIFIEDDefault value; same as POSSIBLE.
- Very
Unlikely - VERY_UNLIKELYHighest chance of a false positive.
- Unlikely
- UNLIKELYHigh chance of a false positive.
- Possible
- POSSIBLESome matching signals. The default value.
- Likely
- LIKELYLow chance of a false positive.
- Very
Likely - VERY_LIKELYConfidence level is high. Lowest chance of a false positive.
- Google
Privacy Dlp V2Likelihood Adjustment Fixed Likelihood Likelihood Unspecified - LIKELIHOOD_UNSPECIFIEDDefault value; same as POSSIBLE.
- Google
Privacy Dlp V2Likelihood Adjustment Fixed Likelihood Very Unlikely - VERY_UNLIKELYHighest chance of a false positive.
- Google
Privacy Dlp V2Likelihood Adjustment Fixed Likelihood Unlikely - UNLIKELYHigh chance of a false positive.
- Google
Privacy Dlp V2Likelihood Adjustment Fixed Likelihood Possible - POSSIBLESome matching signals. The default value.
- Google
Privacy Dlp V2Likelihood Adjustment Fixed Likelihood Likely - LIKELYLow chance of a false positive.
- Google
Privacy Dlp V2Likelihood Adjustment Fixed Likelihood Very Likely - VERY_LIKELYConfidence level is high. Lowest chance of a false positive.
- Likelihood
Unspecified - LIKELIHOOD_UNSPECIFIEDDefault value; same as POSSIBLE.
- Very
Unlikely - VERY_UNLIKELYHighest chance of a false positive.
- Unlikely
- UNLIKELYHigh chance of a false positive.
- Possible
- POSSIBLESome matching signals. The default value.
- Likely
- LIKELYLow chance of a false positive.
- Very
Likely - VERY_LIKELYConfidence level is high. Lowest chance of a false positive.
- Likelihood
Unspecified - LIKELIHOOD_UNSPECIFIEDDefault value; same as POSSIBLE.
- Very
Unlikely - VERY_UNLIKELYHighest chance of a false positive.
- Unlikely
- UNLIKELYHigh chance of a false positive.
- Possible
- POSSIBLESome matching signals. The default value.
- Likely
- LIKELYLow chance of a false positive.
- Very
Likely - VERY_LIKELYConfidence level is high. Lowest chance of a false positive.
- LIKELIHOOD_UNSPECIFIED
- LIKELIHOOD_UNSPECIFIEDDefault value; same as POSSIBLE.
- VERY_UNLIKELY
- VERY_UNLIKELYHighest chance of a false positive.
- UNLIKELY
- UNLIKELYHigh chance of a false positive.
- POSSIBLE
- POSSIBLESome matching signals. The default value.
- LIKELY
- LIKELYLow chance of a false positive.
- VERY_LIKELY
- VERY_LIKELYConfidence level is high. Lowest chance of a false positive.
- "LIKELIHOOD_UNSPECIFIED"
- LIKELIHOOD_UNSPECIFIEDDefault value; same as POSSIBLE.
- "VERY_UNLIKELY"
- VERY_UNLIKELYHighest chance of a false positive.
- "UNLIKELY"
- UNLIKELYHigh chance of a false positive.
- "POSSIBLE"
- POSSIBLESome matching signals. The default value.
- "LIKELY"
- LIKELYLow chance of a false positive.
- "VERY_LIKELY"
- VERY_LIKELYConfidence level is high. Lowest chance of a false positive.
GooglePrivacyDlpV2LikelihoodAdjustmentResponse, GooglePrivacyDlpV2LikelihoodAdjustmentResponseArgs
- Fixed
Likelihood string - Set the likelihood of a finding to a fixed value.
- Relative
Likelihood int - Increase or decrease the likelihood by the specified number of levels. For example, if a finding would be
POSSIBLEwithout the detection rule andrelative_likelihoodis 1, then it is upgraded toLIKELY, while a value of -1 would downgrade it toUNLIKELY. Likelihood may never drop belowVERY_UNLIKELYor exceedVERY_LIKELY, so applying an adjustment of 1 followed by an adjustment of -1 when base likelihood isVERY_LIKELYwill result in a final likelihood ofLIKELY.
- Fixed
Likelihood string - Set the likelihood of a finding to a fixed value.
- Relative
Likelihood int - Increase or decrease the likelihood by the specified number of levels. For example, if a finding would be
POSSIBLEwithout the detection rule andrelative_likelihoodis 1, then it is upgraded toLIKELY, while a value of -1 would downgrade it toUNLIKELY. Likelihood may never drop belowVERY_UNLIKELYor exceedVERY_LIKELY, so applying an adjustment of 1 followed by an adjustment of -1 when base likelihood isVERY_LIKELYwill result in a final likelihood ofLIKELY.
- fixed
Likelihood String - Set the likelihood of a finding to a fixed value.
- relative
Likelihood Integer - Increase or decrease the likelihood by the specified number of levels. For example, if a finding would be
POSSIBLEwithout the detection rule andrelative_likelihoodis 1, then it is upgraded toLIKELY, while a value of -1 would downgrade it toUNLIKELY. Likelihood may never drop belowVERY_UNLIKELYor exceedVERY_LIKELY, so applying an adjustment of 1 followed by an adjustment of -1 when base likelihood isVERY_LIKELYwill result in a final likelihood ofLIKELY.
- fixed
Likelihood string - Set the likelihood of a finding to a fixed value.
- relative
Likelihood number - Increase or decrease the likelihood by the specified number of levels. For example, if a finding would be
POSSIBLEwithout the detection rule andrelative_likelihoodis 1, then it is upgraded toLIKELY, while a value of -1 would downgrade it toUNLIKELY. Likelihood may never drop belowVERY_UNLIKELYor exceedVERY_LIKELY, so applying an adjustment of 1 followed by an adjustment of -1 when base likelihood isVERY_LIKELYwill result in a final likelihood ofLIKELY.
- fixed_
likelihood str - Set the likelihood of a finding to a fixed value.
- relative_
likelihood int - Increase or decrease the likelihood by the specified number of levels. For example, if a finding would be
POSSIBLEwithout the detection rule andrelative_likelihoodis 1, then it is upgraded toLIKELY, while a value of -1 would downgrade it toUNLIKELY. Likelihood may never drop belowVERY_UNLIKELYor exceedVERY_LIKELY, so applying an adjustment of 1 followed by an adjustment of -1 when base likelihood isVERY_LIKELYwill result in a final likelihood ofLIKELY.
- fixed
Likelihood String - Set the likelihood of a finding to a fixed value.
- relative
Likelihood Number - Increase or decrease the likelihood by the specified number of levels. For example, if a finding would be
POSSIBLEwithout the detection rule andrelative_likelihoodis 1, then it is upgraded toLIKELY, while a value of -1 would downgrade it toUNLIKELY. Likelihood may never drop belowVERY_UNLIKELYor exceedVERY_LIKELY, so applying an adjustment of 1 followed by an adjustment of -1 when base likelihood isVERY_LIKELYwill result in a final likelihood ofLIKELY.
GooglePrivacyDlpV2NumericalStatsConfig, GooglePrivacyDlpV2NumericalStatsConfigArgs
- Field
Pulumi.
Google Native. DLP. V2. Inputs. Google Privacy Dlp V2Field Id - Field to compute numerical stats on. Supported types are integer, float, date, datetime, timestamp, time.
- Field
Google
Privacy Dlp V2Field Id - Field to compute numerical stats on. Supported types are integer, float, date, datetime, timestamp, time.
- field
Google
Privacy Dlp V2Field Id - Field to compute numerical stats on. Supported types are integer, float, date, datetime, timestamp, time.
- field
Google
Privacy Dlp V2Field Id - Field to compute numerical stats on. Supported types are integer, float, date, datetime, timestamp, time.
- field
Google
Privacy Dlp V2Field Id - Field to compute numerical stats on. Supported types are integer, float, date, datetime, timestamp, time.
- field Property Map
- Field to compute numerical stats on. Supported types are integer, float, date, datetime, timestamp, time.
GooglePrivacyDlpV2NumericalStatsConfigResponse, GooglePrivacyDlpV2NumericalStatsConfigResponseArgs
- Field
Pulumi.
Google Native. DLP. V2. Inputs. Google Privacy Dlp V2Field Id Response - Field to compute numerical stats on. Supported types are integer, float, date, datetime, timestamp, time.
- Field
Google
Privacy Dlp V2Field Id Response - Field to compute numerical stats on. Supported types are integer, float, date, datetime, timestamp, time.
- field
Google
Privacy Dlp V2Field Id Response - Field to compute numerical stats on. Supported types are integer, float, date, datetime, timestamp, time.
- field
Google
Privacy Dlp V2Field Id Response - Field to compute numerical stats on. Supported types are integer, float, date, datetime, timestamp, time.
- field
Google
Privacy Dlp V2Field Id Response - Field to compute numerical stats on. Supported types are integer, float, date, datetime, timestamp, time.
- field Property Map
- Field to compute numerical stats on. Supported types are integer, float, date, datetime, timestamp, time.
GooglePrivacyDlpV2NumericalStatsResultResponse, GooglePrivacyDlpV2NumericalStatsResultResponseArgs
- Max
Value Pulumi.Google Native. DLP. V2. Inputs. Google Privacy Dlp V2Value Response - Maximum value appearing in the column.
- Min
Value Pulumi.Google Native. DLP. V2. Inputs. Google Privacy Dlp V2Value Response - Minimum value appearing in the column.
- Quantile
Values List<Pulumi.Google Native. DLP. V2. Inputs. Google Privacy Dlp V2Value Response> - List of 99 values that partition the set of field values into 100 equal sized buckets.
- Max
Value GooglePrivacy Dlp V2Value Response - Maximum value appearing in the column.
- Min
Value GooglePrivacy Dlp V2Value Response - Minimum value appearing in the column.
- Quantile
Values []GooglePrivacy Dlp V2Value Response - List of 99 values that partition the set of field values into 100 equal sized buckets.
- max
Value GooglePrivacy Dlp V2Value Response - Maximum value appearing in the column.
- min
Value GooglePrivacy Dlp V2Value Response - Minimum value appearing in the column.
- quantile
Values List<GooglePrivacy Dlp V2Value Response> - List of 99 values that partition the set of field values into 100 equal sized buckets.
- max
Value GooglePrivacy Dlp V2Value Response - Maximum value appearing in the column.
- min
Value GooglePrivacy Dlp V2Value Response - Minimum value appearing in the column.
- quantile
Values GooglePrivacy Dlp V2Value Response[] - List of 99 values that partition the set of field values into 100 equal sized buckets.
- max_
value GooglePrivacy Dlp V2Value Response - Maximum value appearing in the column.
- min_
value GooglePrivacy Dlp V2Value Response - Minimum value appearing in the column.
- quantile_
values Sequence[GooglePrivacy Dlp V2Value Response] - List of 99 values that partition the set of field values into 100 equal sized buckets.
- max
Value Property Map - Maximum value appearing in the column.
- min
Value Property Map - Minimum value appearing in the column.
- quantile
Values List<Property Map> - List of 99 values that partition the set of field values into 100 equal sized buckets.
GooglePrivacyDlpV2OutputStorageConfig, GooglePrivacyDlpV2OutputStorageConfigArgs
- Output
Schema Pulumi.Google Native. DLP. V2. Google Privacy Dlp V2Output Storage Config Output Schema - Schema used for writing the findings for Inspect jobs. This field is only used for Inspect and must be unspecified for Risk jobs. Columns are derived from the
Findingobject. If appending to an existing table, any columns from the predefined schema that are missing will be added. No columns in the existing table will be deleted. If unspecified, then all available columns will be used for a new table or an (existing) table with no schema, and no changes will be made to an existing table that has a schema. Only for use with external storage. - Table
Pulumi.
Google Native. DLP. V2. Inputs. Google Privacy Dlp V2Big Query Table - Store findings in an existing table or a new table in an existing dataset. If table_id is not set a new one will be generated for you with the following format: dlp_googleapis_yyyy_mm_dd_[dlp_job_id]. Pacific time zone will be used for generating the date details. For Inspect, each column in an existing output table must have the same name, type, and mode of a field in the
Findingobject. For Risk, an existing output table should be the output of a previous Risk analysis job run on the same source table, with the same privacy metric and quasi-identifiers. Risk jobs that analyze the same table but compute a different privacy metric, or use different sets of quasi-identifiers, cannot store their results in the same table.
- Output
Schema GooglePrivacy Dlp V2Output Storage Config Output Schema - Schema used for writing the findings for Inspect jobs. This field is only used for Inspect and must be unspecified for Risk jobs. Columns are derived from the
Findingobject. If appending to an existing table, any columns from the predefined schema that are missing will be added. No columns in the existing table will be deleted. If unspecified, then all available columns will be used for a new table or an (existing) table with no schema, and no changes will be made to an existing table that has a schema. Only for use with external storage. - Table
Google
Privacy Dlp V2Big Query Table - Store findings in an existing table or a new table in an existing dataset. If table_id is not set a new one will be generated for you with the following format: dlp_googleapis_yyyy_mm_dd_[dlp_job_id]. Pacific time zone will be used for generating the date details. For Inspect, each column in an existing output table must have the same name, type, and mode of a field in the
Findingobject. For Risk, an existing output table should be the output of a previous Risk analysis job run on the same source table, with the same privacy metric and quasi-identifiers. Risk jobs that analyze the same table but compute a different privacy metric, or use different sets of quasi-identifiers, cannot store their results in the same table.
- output
Schema GooglePrivacy Dlp V2Output Storage Config Output Schema - Schema used for writing the findings for Inspect jobs. This field is only used for Inspect and must be unspecified for Risk jobs. Columns are derived from the
Findingobject. If appending to an existing table, any columns from the predefined schema that are missing will be added. No columns in the existing table will be deleted. If unspecified, then all available columns will be used for a new table or an (existing) table with no schema, and no changes will be made to an existing table that has a schema. Only for use with external storage. - table
Google
Privacy Dlp V2Big Query Table - Store findings in an existing table or a new table in an existing dataset. If table_id is not set a new one will be generated for you with the following format: dlp_googleapis_yyyy_mm_dd_[dlp_job_id]. Pacific time zone will be used for generating the date details. For Inspect, each column in an existing output table must have the same name, type, and mode of a field in the
Findingobject. For Risk, an existing output table should be the output of a previous Risk analysis job run on the same source table, with the same privacy metric and quasi-identifiers. Risk jobs that analyze the same table but compute a different privacy metric, or use different sets of quasi-identifiers, cannot store their results in the same table.
- output
Schema GooglePrivacy Dlp V2Output Storage Config Output Schema - Schema used for writing the findings for Inspect jobs. This field is only used for Inspect and must be unspecified for Risk jobs. Columns are derived from the
Findingobject. If appending to an existing table, any columns from the predefined schema that are missing will be added. No columns in the existing table will be deleted. If unspecified, then all available columns will be used for a new table or an (existing) table with no schema, and no changes will be made to an existing table that has a schema. Only for use with external storage. - table
Google
Privacy Dlp V2Big Query Table - Store findings in an existing table or a new table in an existing dataset. If table_id is not set a new one will be generated for you with the following format: dlp_googleapis_yyyy_mm_dd_[dlp_job_id]. Pacific time zone will be used for generating the date details. For Inspect, each column in an existing output table must have the same name, type, and mode of a field in the
Findingobject. For Risk, an existing output table should be the output of a previous Risk analysis job run on the same source table, with the same privacy metric and quasi-identifiers. Risk jobs that analyze the same table but compute a different privacy metric, or use different sets of quasi-identifiers, cannot store their results in the same table.
- output_
schema GooglePrivacy Dlp V2Output Storage Config Output Schema - Schema used for writing the findings for Inspect jobs. This field is only used for Inspect and must be unspecified for Risk jobs. Columns are derived from the
Findingobject. If appending to an existing table, any columns from the predefined schema that are missing will be added. No columns in the existing table will be deleted. If unspecified, then all available columns will be used for a new table or an (existing) table with no schema, and no changes will be made to an existing table that has a schema. Only for use with external storage. - table
Google
Privacy Dlp V2Big Query Table - Store findings in an existing table or a new table in an existing dataset. If table_id is not set a new one will be generated for you with the following format: dlp_googleapis_yyyy_mm_dd_[dlp_job_id]. Pacific time zone will be used for generating the date details. For Inspect, each column in an existing output table must have the same name, type, and mode of a field in the
Findingobject. For Risk, an existing output table should be the output of a previous Risk analysis job run on the same source table, with the same privacy metric and quasi-identifiers. Risk jobs that analyze the same table but compute a different privacy metric, or use different sets of quasi-identifiers, cannot store their results in the same table.
- output
Schema "OUTPUT_SCHEMA_UNSPECIFIED" | "BASIC_COLUMNS" | "GCS_COLUMNS" | "DATASTORE_COLUMNS" | "BIG_QUERY_COLUMNS" | "ALL_COLUMNS" - Schema used for writing the findings for Inspect jobs. This field is only used for Inspect and must be unspecified for Risk jobs. Columns are derived from the
Findingobject. If appending to an existing table, any columns from the predefined schema that are missing will be added. No columns in the existing table will be deleted. If unspecified, then all available columns will be used for a new table or an (existing) table with no schema, and no changes will be made to an existing table that has a schema. Only for use with external storage. - table Property Map
- Store findings in an existing table or a new table in an existing dataset. If table_id is not set a new one will be generated for you with the following format: dlp_googleapis_yyyy_mm_dd_[dlp_job_id]. Pacific time zone will be used for generating the date details. For Inspect, each column in an existing output table must have the same name, type, and mode of a field in the
Findingobject. For Risk, an existing output table should be the output of a previous Risk analysis job run on the same source table, with the same privacy metric and quasi-identifiers. Risk jobs that analyze the same table but compute a different privacy metric, or use different sets of quasi-identifiers, cannot store their results in the same table.
GooglePrivacyDlpV2OutputStorageConfigOutputSchema, GooglePrivacyDlpV2OutputStorageConfigOutputSchemaArgs
- Output
Schema Unspecified - OUTPUT_SCHEMA_UNSPECIFIEDUnused.
- Basic
Columns - BASIC_COLUMNSBasic schema including only
info_type,quote,certainty, andtimestamp. - Gcs
Columns - GCS_COLUMNSSchema tailored to findings from scanning Cloud Storage.
- Datastore
Columns - DATASTORE_COLUMNSSchema tailored to findings from scanning Google Datastore.
- Big
Query Columns - BIG_QUERY_COLUMNSSchema tailored to findings from scanning Google BigQuery.
- All
Columns - ALL_COLUMNSSchema containing all columns.
- Google
Privacy Dlp V2Output Storage Config Output Schema Output Schema Unspecified - OUTPUT_SCHEMA_UNSPECIFIEDUnused.
- Google
Privacy Dlp V2Output Storage Config Output Schema Basic Columns - BASIC_COLUMNSBasic schema including only
info_type,quote,certainty, andtimestamp. - Google
Privacy Dlp V2Output Storage Config Output Schema Gcs Columns - GCS_COLUMNSSchema tailored to findings from scanning Cloud Storage.
- Google
Privacy Dlp V2Output Storage Config Output Schema Datastore Columns - DATASTORE_COLUMNSSchema tailored to findings from scanning Google Datastore.
- Google
Privacy Dlp V2Output Storage Config Output Schema Big Query Columns - BIG_QUERY_COLUMNSSchema tailored to findings from scanning Google BigQuery.
- Google
Privacy Dlp V2Output Storage Config Output Schema All Columns - ALL_COLUMNSSchema containing all columns.
- Output
Schema Unspecified - OUTPUT_SCHEMA_UNSPECIFIEDUnused.
- Basic
Columns - BASIC_COLUMNSBasic schema including only
info_type,quote,certainty, andtimestamp. - Gcs
Columns - GCS_COLUMNSSchema tailored to findings from scanning Cloud Storage.
- Datastore
Columns - DATASTORE_COLUMNSSchema tailored to findings from scanning Google Datastore.
- Big
Query Columns - BIG_QUERY_COLUMNSSchema tailored to findings from scanning Google BigQuery.
- All
Columns - ALL_COLUMNSSchema containing all columns.
- Output
Schema Unspecified - OUTPUT_SCHEMA_UNSPECIFIEDUnused.
- Basic
Columns - BASIC_COLUMNSBasic schema including only
info_type,quote,certainty, andtimestamp. - Gcs
Columns - GCS_COLUMNSSchema tailored to findings from scanning Cloud Storage.
- Datastore
Columns - DATASTORE_COLUMNSSchema tailored to findings from scanning Google Datastore.
- Big
Query Columns - BIG_QUERY_COLUMNSSchema tailored to findings from scanning Google BigQuery.
- All
Columns - ALL_COLUMNSSchema containing all columns.
- OUTPUT_SCHEMA_UNSPECIFIED
- OUTPUT_SCHEMA_UNSPECIFIEDUnused.
- BASIC_COLUMNS
- BASIC_COLUMNSBasic schema including only
info_type,quote,certainty, andtimestamp. - GCS_COLUMNS
- GCS_COLUMNSSchema tailored to findings from scanning Cloud Storage.
- DATASTORE_COLUMNS
- DATASTORE_COLUMNSSchema tailored to findings from scanning Google Datastore.
- BIG_QUERY_COLUMNS
- BIG_QUERY_COLUMNSSchema tailored to findings from scanning Google BigQuery.
- ALL_COLUMNS
- ALL_COLUMNSSchema containing all columns.
- "OUTPUT_SCHEMA_UNSPECIFIED"
- OUTPUT_SCHEMA_UNSPECIFIEDUnused.
- "BASIC_COLUMNS"
- BASIC_COLUMNSBasic schema including only
info_type,quote,certainty, andtimestamp. - "GCS_COLUMNS"
- GCS_COLUMNSSchema tailored to findings from scanning Cloud Storage.
- "DATASTORE_COLUMNS"
- DATASTORE_COLUMNSSchema tailored to findings from scanning Google Datastore.
- "BIG_QUERY_COLUMNS"
- BIG_QUERY_COLUMNSSchema tailored to findings from scanning Google BigQuery.
- "ALL_COLUMNS"
- ALL_COLUMNSSchema containing all columns.
GooglePrivacyDlpV2OutputStorageConfigResponse, GooglePrivacyDlpV2OutputStorageConfigResponseArgs
- Output
Schema string - Schema used for writing the findings for Inspect jobs. This field is only used for Inspect and must be unspecified for Risk jobs. Columns are derived from the
Findingobject. If appending to an existing table, any columns from the predefined schema that are missing will be added. No columns in the existing table will be deleted. If unspecified, then all available columns will be used for a new table or an (existing) table with no schema, and no changes will be made to an existing table that has a schema. Only for use with external storage. - Table
Pulumi.
Google Native. DLP. V2. Inputs. Google Privacy Dlp V2Big Query Table Response - Store findings in an existing table or a new table in an existing dataset. If table_id is not set a new one will be generated for you with the following format: dlp_googleapis_yyyy_mm_dd_[dlp_job_id]. Pacific time zone will be used for generating the date details. For Inspect, each column in an existing output table must have the same name, type, and mode of a field in the
Findingobject. For Risk, an existing output table should be the output of a previous Risk analysis job run on the same source table, with the same privacy metric and quasi-identifiers. Risk jobs that analyze the same table but compute a different privacy metric, or use different sets of quasi-identifiers, cannot store their results in the same table.
- Output
Schema string - Schema used for writing the findings for Inspect jobs. This field is only used for Inspect and must be unspecified for Risk jobs. Columns are derived from the
Findingobject. If appending to an existing table, any columns from the predefined schema that are missing will be added. No columns in the existing table will be deleted. If unspecified, then all available columns will be used for a new table or an (existing) table with no schema, and no changes will be made to an existing table that has a schema. Only for use with external storage. - Table
Google
Privacy Dlp V2Big Query Table Response - Store findings in an existing table or a new table in an existing dataset. If table_id is not set a new one will be generated for you with the following format: dlp_googleapis_yyyy_mm_dd_[dlp_job_id]. Pacific time zone will be used for generating the date details. For Inspect, each column in an existing output table must have the same name, type, and mode of a field in the
Findingobject. For Risk, an existing output table should be the output of a previous Risk analysis job run on the same source table, with the same privacy metric and quasi-identifiers. Risk jobs that analyze the same table but compute a different privacy metric, or use different sets of quasi-identifiers, cannot store their results in the same table.
- output
Schema String - Schema used for writing the findings for Inspect jobs. This field is only used for Inspect and must be unspecified for Risk jobs. Columns are derived from the
Findingobject. If appending to an existing table, any columns from the predefined schema that are missing will be added. No columns in the existing table will be deleted. If unspecified, then all available columns will be used for a new table or an (existing) table with no schema, and no changes will be made to an existing table that has a schema. Only for use with external storage. - table
Google
Privacy Dlp V2Big Query Table Response - Store findings in an existing table or a new table in an existing dataset. If table_id is not set a new one will be generated for you with the following format: dlp_googleapis_yyyy_mm_dd_[dlp_job_id]. Pacific time zone will be used for generating the date details. For Inspect, each column in an existing output table must have the same name, type, and mode of a field in the
Findingobject. For Risk, an existing output table should be the output of a previous Risk analysis job run on the same source table, with the same privacy metric and quasi-identifiers. Risk jobs that analyze the same table but compute a different privacy metric, or use different sets of quasi-identifiers, cannot store their results in the same table.
- output
Schema string - Schema used for writing the findings for Inspect jobs. This field is only used for Inspect and must be unspecified for Risk jobs. Columns are derived from the
Findingobject. If appending to an existing table, any columns from the predefined schema that are missing will be added. No columns in the existing table will be deleted. If unspecified, then all available columns will be used for a new table or an (existing) table with no schema, and no changes will be made to an existing table that has a schema. Only for use with external storage. - table
Google
Privacy Dlp V2Big Query Table Response - Store findings in an existing table or a new table in an existing dataset. If table_id is not set a new one will be generated for you with the following format: dlp_googleapis_yyyy_mm_dd_[dlp_job_id]. Pacific time zone will be used for generating the date details. For Inspect, each column in an existing output table must have the same name, type, and mode of a field in the
Findingobject. For Risk, an existing output table should be the output of a previous Risk analysis job run on the same source table, with the same privacy metric and quasi-identifiers. Risk jobs that analyze the same table but compute a different privacy metric, or use different sets of quasi-identifiers, cannot store their results in the same table.
- output_
schema str - Schema used for writing the findings for Inspect jobs. This field is only used for Inspect and must be unspecified for Risk jobs. Columns are derived from the
Findingobject. If appending to an existing table, any columns from the predefined schema that are missing will be added. No columns in the existing table will be deleted. If unspecified, then all available columns will be used for a new table or an (existing) table with no schema, and no changes will be made to an existing table that has a schema. Only for use with external storage. - table
Google
Privacy Dlp V2Big Query Table Response - Store findings in an existing table or a new table in an existing dataset. If table_id is not set a new one will be generated for you with the following format: dlp_googleapis_yyyy_mm_dd_[dlp_job_id]. Pacific time zone will be used for generating the date details. For Inspect, each column in an existing output table must have the same name, type, and mode of a field in the
Findingobject. For Risk, an existing output table should be the output of a previous Risk analysis job run on the same source table, with the same privacy metric and quasi-identifiers. Risk jobs that analyze the same table but compute a different privacy metric, or use different sets of quasi-identifiers, cannot store their results in the same table.
- output
Schema String - Schema used for writing the findings for Inspect jobs. This field is only used for Inspect and must be unspecified for Risk jobs. Columns are derived from the
Findingobject. If appending to an existing table, any columns from the predefined schema that are missing will be added. No columns in the existing table will be deleted. If unspecified, then all available columns will be used for a new table or an (existing) table with no schema, and no changes will be made to an existing table that has a schema. Only for use with external storage. - table Property Map
- Store findings in an existing table or a new table in an existing dataset. If table_id is not set a new one will be generated for you with the following format: dlp_googleapis_yyyy_mm_dd_[dlp_job_id]. Pacific time zone will be used for generating the date details. For Inspect, each column in an existing output table must have the same name, type, and mode of a field in the
Findingobject. For Risk, an existing output table should be the output of a previous Risk analysis job run on the same source table, with the same privacy metric and quasi-identifiers. Risk jobs that analyze the same table but compute a different privacy metric, or use different sets of quasi-identifiers, cannot store their results in the same table.
GooglePrivacyDlpV2PartitionId, GooglePrivacyDlpV2PartitionIdArgs
- Namespace
Id string - If not empty, the ID of the namespace to which the entities belong.
- Project string
- The ID of the project to which the entities belong.
- Namespace
Id string - If not empty, the ID of the namespace to which the entities belong.
- Project string
- The ID of the project to which the entities belong.
- namespace
Id String - If not empty, the ID of the namespace to which the entities belong.
- project String
- The ID of the project to which the entities belong.
- namespace
Id string - If not empty, the ID of the namespace to which the entities belong.
- project string
- The ID of the project to which the entities belong.
- namespace_
id str - If not empty, the ID of the namespace to which the entities belong.
- project str
- The ID of the project to which the entities belong.
- namespace
Id String - If not empty, the ID of the namespace to which the entities belong.
- project String
- The ID of the project to which the entities belong.
GooglePrivacyDlpV2PartitionIdResponse, GooglePrivacyDlpV2PartitionIdResponseArgs
- Namespace
Id string - If not empty, the ID of the namespace to which the entities belong.
- Project string
- The ID of the project to which the entities belong.
- Namespace
Id string - If not empty, the ID of the namespace to which the entities belong.
- Project string
- The ID of the project to which the entities belong.
- namespace
Id String - If not empty, the ID of the namespace to which the entities belong.
- project String
- The ID of the project to which the entities belong.
- namespace
Id string - If not empty, the ID of the namespace to which the entities belong.
- project string
- The ID of the project to which the entities belong.
- namespace_
id str - If not empty, the ID of the namespace to which the entities belong.
- project str
- The ID of the project to which the entities belong.
- namespace
Id String - If not empty, the ID of the namespace to which the entities belong.
- project String
- The ID of the project to which the entities belong.
GooglePrivacyDlpV2PrimitiveTransformationResponse, GooglePrivacyDlpV2PrimitiveTransformationResponseArgs
- Bucketing
Config Pulumi.Google Native. DLP. V2. Inputs. Google Privacy Dlp V2Bucketing Config Response - Bucketing
- Character
Mask Pulumi.Config Google Native. DLP. V2. Inputs. Google Privacy Dlp V2Character Mask Config Response - Mask
- Crypto
Deterministic Pulumi.Config Google Native. DLP. V2. Inputs. Google Privacy Dlp V2Crypto Deterministic Config Response - Deterministic Crypto
- Crypto
Hash Pulumi.Config Google Native. DLP. V2. Inputs. Google Privacy Dlp V2Crypto Hash Config Response - Crypto
- Crypto
Replace Pulumi.Ffx Fpe Config Google Native. DLP. V2. Inputs. Google Privacy Dlp V2Crypto Replace Ffx Fpe Config Response - Ffx-Fpe
- Date
Shift Pulumi.Config Google Native. DLP. V2. Inputs. Google Privacy Dlp V2Date Shift Config Response - Date Shift
- Fixed
Size Pulumi.Bucketing Config Google Native. DLP. V2. Inputs. Google Privacy Dlp V2Fixed Size Bucketing Config Response - Fixed size bucketing
- Redact
Config Pulumi.Google Native. DLP. V2. Inputs. Google Privacy Dlp V2Redact Config Response - Redact
- Replace
Config Pulumi.Google Native. DLP. V2. Inputs. Google Privacy Dlp V2Replace Value Config Response - Replace with a specified value.
- Replace
Dictionary Pulumi.Config Google Native. DLP. V2. Inputs. Google Privacy Dlp V2Replace Dictionary Config Response - Replace with a value randomly drawn (with replacement) from a dictionary.
- Replace
With Pulumi.Info Type Config Google Native. DLP. V2. Inputs. Google Privacy Dlp V2Replace With Info Type Config Response - Replace with infotype
- Time
Part Pulumi.Config Google Native. DLP. V2. Inputs. Google Privacy Dlp V2Time Part Config Response - Time extraction
- Bucketing
Config GooglePrivacy Dlp V2Bucketing Config Response - Bucketing
- Character
Mask GoogleConfig Privacy Dlp V2Character Mask Config Response - Mask
- Crypto
Deterministic GoogleConfig Privacy Dlp V2Crypto Deterministic Config Response - Deterministic Crypto
- Crypto
Hash GoogleConfig Privacy Dlp V2Crypto Hash Config Response - Crypto
- Crypto
Replace GoogleFfx Fpe Config Privacy Dlp V2Crypto Replace Ffx Fpe Config Response - Ffx-Fpe
- Date
Shift GoogleConfig Privacy Dlp V2Date Shift Config Response - Date Shift
- Fixed
Size GoogleBucketing Config Privacy Dlp V2Fixed Size Bucketing Config Response - Fixed size bucketing
- Redact
Config GooglePrivacy Dlp V2Redact Config Response - Redact
- Replace
Config GooglePrivacy Dlp V2Replace Value Config Response - Replace with a specified value.
- Replace
Dictionary GoogleConfig Privacy Dlp V2Replace Dictionary Config Response - Replace with a value randomly drawn (with replacement) from a dictionary.
- Replace
With GoogleInfo Type Config Privacy Dlp V2Replace With Info Type Config Response - Replace with infotype
- Time
Part GoogleConfig Privacy Dlp V2Time Part Config Response - Time extraction
- bucketing
Config GooglePrivacy Dlp V2Bucketing Config Response - Bucketing
- character
Mask GoogleConfig Privacy Dlp V2Character Mask Config Response - Mask
- crypto
Deterministic GoogleConfig Privacy Dlp V2Crypto Deterministic Config Response - Deterministic Crypto
- crypto
Hash GoogleConfig Privacy Dlp V2Crypto Hash Config Response - Crypto
- crypto
Replace GoogleFfx Fpe Config Privacy Dlp V2Crypto Replace Ffx Fpe Config Response - Ffx-Fpe
- date
Shift GoogleConfig Privacy Dlp V2Date Shift Config Response - Date Shift
- fixed
Size GoogleBucketing Config Privacy Dlp V2Fixed Size Bucketing Config Response - Fixed size bucketing
- redact
Config GooglePrivacy Dlp V2Redact Config Response - Redact
- replace
Config GooglePrivacy Dlp V2Replace Value Config Response - Replace with a specified value.
- replace
Dictionary GoogleConfig Privacy Dlp V2Replace Dictionary Config Response - Replace with a value randomly drawn (with replacement) from a dictionary.
- replace
With GoogleInfo Type Config Privacy Dlp V2Replace With Info Type Config Response - Replace with infotype
- time
Part GoogleConfig Privacy Dlp V2Time Part Config Response - Time extraction
- bucketing
Config GooglePrivacy Dlp V2Bucketing Config Response - Bucketing
- character
Mask GoogleConfig Privacy Dlp V2Character Mask Config Response - Mask
- crypto
Deterministic GoogleConfig Privacy Dlp V2Crypto Deterministic Config Response - Deterministic Crypto
- crypto
Hash GoogleConfig Privacy Dlp V2Crypto Hash Config Response - Crypto
- crypto
Replace GoogleFfx Fpe Config Privacy Dlp V2Crypto Replace Ffx Fpe Config Response - Ffx-Fpe
- date
Shift GoogleConfig Privacy Dlp V2Date Shift Config Response - Date Shift
- fixed
Size GoogleBucketing Config Privacy Dlp V2Fixed Size Bucketing Config Response - Fixed size bucketing
- redact
Config GooglePrivacy Dlp V2Redact Config Response - Redact
- replace
Config GooglePrivacy Dlp V2Replace Value Config Response - Replace with a specified value.
- replace
Dictionary GoogleConfig Privacy Dlp V2Replace Dictionary Config Response - Replace with a value randomly drawn (with replacement) from a dictionary.
- replace
With GoogleInfo Type Config Privacy Dlp V2Replace With Info Type Config Response - Replace with infotype
- time
Part GoogleConfig Privacy Dlp V2Time Part Config Response - Time extraction
- bucketing_
config GooglePrivacy Dlp V2Bucketing Config Response - Bucketing
- character_
mask_ Googleconfig Privacy Dlp V2Character Mask Config Response - Mask
- crypto_
deterministic_ Googleconfig Privacy Dlp V2Crypto Deterministic Config Response - Deterministic Crypto
- crypto_
hash_ Googleconfig Privacy Dlp V2Crypto Hash Config Response - Crypto
- crypto_
replace_ Googleffx_ fpe_ config Privacy Dlp V2Crypto Replace Ffx Fpe Config Response - Ffx-Fpe
- date_
shift_ Googleconfig Privacy Dlp V2Date Shift Config Response - Date Shift
- fixed_
size_ Googlebucketing_ config Privacy Dlp V2Fixed Size Bucketing Config Response - Fixed size bucketing
- redact_
config GooglePrivacy Dlp V2Redact Config Response - Redact
- replace_
config GooglePrivacy Dlp V2Replace Value Config Response - Replace with a specified value.
- replace_
dictionary_ Googleconfig Privacy Dlp V2Replace Dictionary Config Response - Replace with a value randomly drawn (with replacement) from a dictionary.
- replace_
with_ Googleinfo_ type_ config Privacy Dlp V2Replace With Info Type Config Response - Replace with infotype
- time_
part_ Googleconfig Privacy Dlp V2Time Part Config Response - Time extraction
- bucketing
Config Property Map - Bucketing
- character
Mask Property MapConfig - Mask
- crypto
Deterministic Property MapConfig - Deterministic Crypto
- crypto
Hash Property MapConfig - Crypto
- crypto
Replace Property MapFfx Fpe Config - Ffx-Fpe
- date
Shift Property MapConfig - Date Shift
- fixed
Size Property MapBucketing Config - Fixed size bucketing
- redact
Config Property Map - Redact
- replace
Config Property Map - Replace with a specified value.
- replace
Dictionary Property MapConfig - Replace with a value randomly drawn (with replacement) from a dictionary.
- replace
With Property MapInfo Type Config - Replace with infotype
- time
Part Property MapConfig - Time extraction
GooglePrivacyDlpV2PrivacyMetric, GooglePrivacyDlpV2PrivacyMetricArgs
- Categorical
Stats Pulumi.Config Google Native. DLP. V2. Inputs. Google Privacy Dlp V2Categorical Stats Config - Categorical stats
- Delta
Presence Pulumi.Estimation Config Google Native. DLP. V2. Inputs. Google Privacy Dlp V2Delta Presence Estimation Config - delta-presence
- KAnonymity
Config Pulumi.Google Native. DLP. V2. Inputs. Google Privacy Dlp V2KAnonymity Config - K-anonymity
- KMap
Estimation Pulumi.Config Google Native. DLP. V2. Inputs. Google Privacy Dlp V2KMap Estimation Config - k-map
- LDiversity
Config Pulumi.Google Native. DLP. V2. Inputs. Google Privacy Dlp V2LDiversity Config - l-diversity
- Numerical
Stats Pulumi.Config Google Native. DLP. V2. Inputs. Google Privacy Dlp V2Numerical Stats Config - Numerical stats
- Categorical
Stats GoogleConfig Privacy Dlp V2Categorical Stats Config - Categorical stats
- Delta
Presence GoogleEstimation Config Privacy Dlp V2Delta Presence Estimation Config - delta-presence
- KAnonymity
Config GooglePrivacy Dlp V2KAnonymity Config - K-anonymity
- KMap
Estimation GoogleConfig Privacy Dlp V2KMap Estimation Config - k-map
- LDiversity
Config GooglePrivacy Dlp V2LDiversity Config - l-diversity
- Numerical
Stats GoogleConfig Privacy Dlp V2Numerical Stats Config - Numerical stats
- categorical
Stats GoogleConfig Privacy Dlp V2Categorical Stats Config - Categorical stats
- delta
Presence GoogleEstimation Config Privacy Dlp V2Delta Presence Estimation Config - delta-presence
- k
Anonymity GoogleConfig Privacy Dlp V2KAnonymity Config - K-anonymity
- k
Map GoogleEstimation Config Privacy Dlp V2KMap Estimation Config - k-map
- l
Diversity GoogleConfig Privacy Dlp V2LDiversity Config - l-diversity
- numerical
Stats GoogleConfig Privacy Dlp V2Numerical Stats Config - Numerical stats
- categorical
Stats GoogleConfig Privacy Dlp V2Categorical Stats Config - Categorical stats
- delta
Presence GoogleEstimation Config Privacy Dlp V2Delta Presence Estimation Config - delta-presence
- k
Anonymity GoogleConfig Privacy Dlp V2KAnonymity Config - K-anonymity
- k
Map GoogleEstimation Config Privacy Dlp V2KMap Estimation Config - k-map
- l
Diversity GoogleConfig Privacy Dlp V2LDiversity Config - l-diversity
- numerical
Stats GoogleConfig Privacy Dlp V2Numerical Stats Config - Numerical stats
- categorical_
stats_ Googleconfig Privacy Dlp V2Categorical Stats Config - Categorical stats
- delta_
presence_ Googleestimation_ config Privacy Dlp V2Delta Presence Estimation Config - delta-presence
- k_
anonymity_ Googleconfig Privacy Dlp V2KAnonymity Config - K-anonymity
- k_
map_ Googleestimation_ config Privacy Dlp V2KMap Estimation Config - k-map
- l_
diversity_ Googleconfig Privacy Dlp V2LDiversity Config - l-diversity
- numerical_
stats_ Googleconfig Privacy Dlp V2Numerical Stats Config - Numerical stats
- categorical
Stats Property MapConfig - Categorical stats
- delta
Presence Property MapEstimation Config - delta-presence
- k
Anonymity Property MapConfig - K-anonymity
- k
Map Property MapEstimation Config - k-map
- l
Diversity Property MapConfig - l-diversity
- numerical
Stats Property MapConfig - Numerical stats
GooglePrivacyDlpV2PrivacyMetricResponse, GooglePrivacyDlpV2PrivacyMetricResponseArgs
- Categorical
Stats Pulumi.Config Google Native. DLP. V2. Inputs. Google Privacy Dlp V2Categorical Stats Config Response - Categorical stats
- Delta
Presence Pulumi.Estimation Config Google Native. DLP. V2. Inputs. Google Privacy Dlp V2Delta Presence Estimation Config Response - delta-presence
- KAnonymity
Config Pulumi.Google Native. DLP. V2. Inputs. Google Privacy Dlp V2KAnonymity Config Response - K-anonymity
- KMap
Estimation Pulumi.Config Google Native. DLP. V2. Inputs. Google Privacy Dlp V2KMap Estimation Config Response - k-map
- LDiversity
Config Pulumi.Google Native. DLP. V2. Inputs. Google Privacy Dlp V2LDiversity Config Response - l-diversity
- Numerical
Stats Pulumi.Config Google Native. DLP. V2. Inputs. Google Privacy Dlp V2Numerical Stats Config Response - Numerical stats
- Categorical
Stats GoogleConfig Privacy Dlp V2Categorical Stats Config Response - Categorical stats
- Delta
Presence GoogleEstimation Config Privacy Dlp V2Delta Presence Estimation Config Response - delta-presence
- KAnonymity
Config GooglePrivacy Dlp V2KAnonymity Config Response - K-anonymity
- KMap
Estimation GoogleConfig Privacy Dlp V2KMap Estimation Config Response - k-map
- LDiversity
Config GooglePrivacy Dlp V2LDiversity Config Response - l-diversity
- Numerical
Stats GoogleConfig Privacy Dlp V2Numerical Stats Config Response - Numerical stats
- categorical
Stats GoogleConfig Privacy Dlp V2Categorical Stats Config Response - Categorical stats
- delta
Presence GoogleEstimation Config Privacy Dlp V2Delta Presence Estimation Config Response - delta-presence
- k
Anonymity GoogleConfig Privacy Dlp V2KAnonymity Config Response - K-anonymity
- k
Map GoogleEstimation Config Privacy Dlp V2KMap Estimation Config Response - k-map
- l
Diversity GoogleConfig Privacy Dlp V2LDiversity Config Response - l-diversity
- numerical
Stats GoogleConfig Privacy Dlp V2Numerical Stats Config Response - Numerical stats
- categorical
Stats GoogleConfig Privacy Dlp V2Categorical Stats Config Response - Categorical stats
- delta
Presence GoogleEstimation Config Privacy Dlp V2Delta Presence Estimation Config Response - delta-presence
- k
Anonymity GoogleConfig Privacy Dlp V2KAnonymity Config Response - K-anonymity
- k
Map GoogleEstimation Config Privacy Dlp V2KMap Estimation Config Response - k-map
- l
Diversity GoogleConfig Privacy Dlp V2LDiversity Config Response - l-diversity
- numerical
Stats GoogleConfig Privacy Dlp V2Numerical Stats Config Response - Numerical stats
- categorical_
stats_ Googleconfig Privacy Dlp V2Categorical Stats Config Response - Categorical stats
- delta_
presence_ Googleestimation_ config Privacy Dlp V2Delta Presence Estimation Config Response - delta-presence
- k_
anonymity_ Googleconfig Privacy Dlp V2KAnonymity Config Response - K-anonymity
- k_
map_ Googleestimation_ config Privacy Dlp V2KMap Estimation Config Response - k-map
- l_
diversity_ Googleconfig Privacy Dlp V2LDiversity Config Response - l-diversity
- numerical_
stats_ Googleconfig Privacy Dlp V2Numerical Stats Config Response - Numerical stats
- categorical
Stats Property MapConfig - Categorical stats
- delta
Presence Property MapEstimation Config - delta-presence
- k
Anonymity Property MapConfig - K-anonymity
- k
Map Property MapEstimation Config - k-map
- l
Diversity Property MapConfig - l-diversity
- numerical
Stats Property MapConfig - Numerical stats
GooglePrivacyDlpV2Proximity, GooglePrivacyDlpV2ProximityArgs
- Window
After int - Number of characters after the finding to consider.
- Window
Before int - Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values).
- Window
After int - Number of characters after the finding to consider.
- Window
Before int - Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values).
- window
After Integer - Number of characters after the finding to consider.
- window
Before Integer - Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values).
- window
After number - Number of characters after the finding to consider.
- window
Before number - Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values).
- window_
after int - Number of characters after the finding to consider.
- window_
before int - Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values).
- window
After Number - Number of characters after the finding to consider.
- window
Before Number - Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values).
GooglePrivacyDlpV2ProximityResponse, GooglePrivacyDlpV2ProximityResponseArgs
- Window
After int - Number of characters after the finding to consider.
- Window
Before int - Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values).
- Window
After int - Number of characters after the finding to consider.
- Window
Before int - Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values).
- window
After Integer - Number of characters after the finding to consider.
- window
Before Integer - Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values).
- window
After number - Number of characters after the finding to consider.
- window
Before number - Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values).
- window_
after int - Number of characters after the finding to consider.
- window_
before int - Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values).
- window
After Number - Number of characters after the finding to consider.
- window
Before Number - Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values).
GooglePrivacyDlpV2PublishToPubSub, GooglePrivacyDlpV2PublishToPubSubArgs
- Topic string
- Cloud Pub/Sub topic to send notifications to. The topic must have given publishing access rights to the DLP API service account executing the long running DlpJob sending the notifications. Format is projects/{project}/topics/{topic}.
- Topic string
- Cloud Pub/Sub topic to send notifications to. The topic must have given publishing access rights to the DLP API service account executing the long running DlpJob sending the notifications. Format is projects/{project}/topics/{topic}.
- topic String
- Cloud Pub/Sub topic to send notifications to. The topic must have given publishing access rights to the DLP API service account executing the long running DlpJob sending the notifications. Format is projects/{project}/topics/{topic}.
- topic string
- Cloud Pub/Sub topic to send notifications to. The topic must have given publishing access rights to the DLP API service account executing the long running DlpJob sending the notifications. Format is projects/{project}/topics/{topic}.
- topic str
- Cloud Pub/Sub topic to send notifications to. The topic must have given publishing access rights to the DLP API service account executing the long running DlpJob sending the notifications. Format is projects/{project}/topics/{topic}.
- topic String
- Cloud Pub/Sub topic to send notifications to. The topic must have given publishing access rights to the DLP API service account executing the long running DlpJob sending the notifications. Format is projects/{project}/topics/{topic}.
GooglePrivacyDlpV2PublishToPubSubResponse, GooglePrivacyDlpV2PublishToPubSubResponseArgs
- Topic string
- Cloud Pub/Sub topic to send notifications to. The topic must have given publishing access rights to the DLP API service account executing the long running DlpJob sending the notifications. Format is projects/{project}/topics/{topic}.
- Topic string
- Cloud Pub/Sub topic to send notifications to. The topic must have given publishing access rights to the DLP API service account executing the long running DlpJob sending the notifications. Format is projects/{project}/topics/{topic}.
- topic String
- Cloud Pub/Sub topic to send notifications to. The topic must have given publishing access rights to the DLP API service account executing the long running DlpJob sending the notifications. Format is projects/{project}/topics/{topic}.
- topic string
- Cloud Pub/Sub topic to send notifications to. The topic must have given publishing access rights to the DLP API service account executing the long running DlpJob sending the notifications. Format is projects/{project}/topics/{topic}.
- topic str
- Cloud Pub/Sub topic to send notifications to. The topic must have given publishing access rights to the DLP API service account executing the long running DlpJob sending the notifications. Format is projects/{project}/topics/{topic}.
- topic String
- Cloud Pub/Sub topic to send notifications to. The topic must have given publishing access rights to the DLP API service account executing the long running DlpJob sending the notifications. Format is projects/{project}/topics/{topic}.
GooglePrivacyDlpV2QuasiId, GooglePrivacyDlpV2QuasiIdArgs
- Field
Pulumi.
Google Native. DLP. V2. Inputs. Google Privacy Dlp V2Field Id - Identifies the column.
- Custom
Tag string - A column can be tagged with a custom tag. In this case, the user must indicate an auxiliary table that contains statistical information on the possible values of this column (below).
- Inferred
Pulumi.
Google Native. DLP. V2. Inputs. Google Protobuf Empty - If no semantic tag is indicated, we infer the statistical model from the distribution of values in the input data
- Info
Type Pulumi.Google Native. DLP. V2. Inputs. Google Privacy Dlp V2Info Type - A column can be tagged with a InfoType to use the relevant public dataset as a statistical model of population, if available. We currently support US ZIP codes, region codes, ages and genders. To programmatically obtain the list of supported InfoTypes, use ListInfoTypes with the supported_by=RISK_ANALYSIS filter.
- Field
Google
Privacy Dlp V2Field Id - Identifies the column.
- Custom
Tag string - A column can be tagged with a custom tag. In this case, the user must indicate an auxiliary table that contains statistical information on the possible values of this column (below).
- Inferred
Google
Protobuf Empty - If no semantic tag is indicated, we infer the statistical model from the distribution of values in the input data
- Info
Type GooglePrivacy Dlp V2Info Type - A column can be tagged with a InfoType to use the relevant public dataset as a statistical model of population, if available. We currently support US ZIP codes, region codes, ages and genders. To programmatically obtain the list of supported InfoTypes, use ListInfoTypes with the supported_by=RISK_ANALYSIS filter.
- field
Google
Privacy Dlp V2Field Id - Identifies the column.
- custom
Tag String - A column can be tagged with a custom tag. In this case, the user must indicate an auxiliary table that contains statistical information on the possible values of this column (below).
- inferred
Google
Protobuf Empty - If no semantic tag is indicated, we infer the statistical model from the distribution of values in the input data
- info
Type GooglePrivacy Dlp V2Info Type - A column can be tagged with a InfoType to use the relevant public dataset as a statistical model of population, if available. We currently support US ZIP codes, region codes, ages and genders. To programmatically obtain the list of supported InfoTypes, use ListInfoTypes with the supported_by=RISK_ANALYSIS filter.
- field
Google
Privacy Dlp V2Field Id - Identifies the column.
- custom
Tag string - A column can be tagged with a custom tag. In this case, the user must indicate an auxiliary table that contains statistical information on the possible values of this column (below).
- inferred
Google
Protobuf Empty - If no semantic tag is indicated, we infer the statistical model from the distribution of values in the input data
- info
Type GooglePrivacy Dlp V2Info Type - A column can be tagged with a InfoType to use the relevant public dataset as a statistical model of population, if available. We currently support US ZIP codes, region codes, ages and genders. To programmatically obtain the list of supported InfoTypes, use ListInfoTypes with the supported_by=RISK_ANALYSIS filter.
- field
Google
Privacy Dlp V2Field Id - Identifies the column.
- custom_
tag str - A column can be tagged with a custom tag. In this case, the user must indicate an auxiliary table that contains statistical information on the possible values of this column (below).
- inferred
Google
Protobuf Empty - If no semantic tag is indicated, we infer the statistical model from the distribution of values in the input data
- info_
type GooglePrivacy Dlp V2Info Type - A column can be tagged with a InfoType to use the relevant public dataset as a statistical model of population, if available. We currently support US ZIP codes, region codes, ages and genders. To programmatically obtain the list of supported InfoTypes, use ListInfoTypes with the supported_by=RISK_ANALYSIS filter.
- field Property Map
- Identifies the column.
- custom
Tag String - A column can be tagged with a custom tag. In this case, the user must indicate an auxiliary table that contains statistical information on the possible values of this column (below).
- inferred Property Map
- If no semantic tag is indicated, we infer the statistical model from the distribution of values in the input data
- info
Type Property Map - A column can be tagged with a InfoType to use the relevant public dataset as a statistical model of population, if available. We currently support US ZIP codes, region codes, ages and genders. To programmatically obtain the list of supported InfoTypes, use ListInfoTypes with the supported_by=RISK_ANALYSIS filter.
GooglePrivacyDlpV2QuasiIdField, GooglePrivacyDlpV2QuasiIdFieldArgs
- Custom
Tag string - A auxiliary field.
- Field
Pulumi.
Google Native. DLP. V2. Inputs. Google Privacy Dlp V2Field Id - Identifies the column.
- Custom
Tag string - A auxiliary field.
- Field
Google
Privacy Dlp V2Field Id - Identifies the column.
- custom
Tag String - A auxiliary field.
- field
Google
Privacy Dlp V2Field Id - Identifies the column.
- custom
Tag string - A auxiliary field.
- field
Google
Privacy Dlp V2Field Id - Identifies the column.
- custom_
tag str - A auxiliary field.
- field
Google
Privacy Dlp V2Field Id - Identifies the column.
- custom
Tag String - A auxiliary field.
- field Property Map
- Identifies the column.
GooglePrivacyDlpV2QuasiIdFieldResponse, GooglePrivacyDlpV2QuasiIdFieldResponseArgs
- Custom
Tag string - A auxiliary field.
- Field
Pulumi.
Google Native. DLP. V2. Inputs. Google Privacy Dlp V2Field Id Response - Identifies the column.
- Custom
Tag string - A auxiliary field.
- Field
Google
Privacy Dlp V2Field Id Response - Identifies the column.
- custom
Tag String - A auxiliary field.
- field
Google
Privacy Dlp V2Field Id Response - Identifies the column.
- custom
Tag string - A auxiliary field.
- field
Google
Privacy Dlp V2Field Id Response - Identifies the column.
- custom_
tag str - A auxiliary field.
- field
Google
Privacy Dlp V2Field Id Response - Identifies the column.
- custom
Tag String - A auxiliary field.
- field Property Map
- Identifies the column.
GooglePrivacyDlpV2QuasiIdResponse, GooglePrivacyDlpV2QuasiIdResponseArgs
- Custom
Tag string - A column can be tagged with a custom tag. In this case, the user must indicate an auxiliary table that contains statistical information on the possible values of this column (below).
- Field
Pulumi.
Google Native. DLP. V2. Inputs. Google Privacy Dlp V2Field Id Response - Identifies the column.
- Inferred
Pulumi.
Google Native. DLP. V2. Inputs. Google Protobuf Empty Response - If no semantic tag is indicated, we infer the statistical model from the distribution of values in the input data
- Info
Type Pulumi.Google Native. DLP. V2. Inputs. Google Privacy Dlp V2Info Type Response - A column can be tagged with a InfoType to use the relevant public dataset as a statistical model of population, if available. We currently support US ZIP codes, region codes, ages and genders. To programmatically obtain the list of supported InfoTypes, use ListInfoTypes with the supported_by=RISK_ANALYSIS filter.
- Custom
Tag string - A column can be tagged with a custom tag. In this case, the user must indicate an auxiliary table that contains statistical information on the possible values of this column (below).
- Field
Google
Privacy Dlp V2Field Id Response - Identifies the column.
- Inferred
Google
Protobuf Empty Response - If no semantic tag is indicated, we infer the statistical model from the distribution of values in the input data
- Info
Type GooglePrivacy Dlp V2Info Type Response - A column can be tagged with a InfoType to use the relevant public dataset as a statistical model of population, if available. We currently support US ZIP codes, region codes, ages and genders. To programmatically obtain the list of supported InfoTypes, use ListInfoTypes with the supported_by=RISK_ANALYSIS filter.
- custom
Tag String - A column can be tagged with a custom tag. In this case, the user must indicate an auxiliary table that contains statistical information on the possible values of this column (below).
- field
Google
Privacy Dlp V2Field Id Response - Identifies the column.
- inferred
Google
Protobuf Empty Response - If no semantic tag is indicated, we infer the statistical model from the distribution of values in the input data
- info
Type GooglePrivacy Dlp V2Info Type Response - A column can be tagged with a InfoType to use the relevant public dataset as a statistical model of population, if available. We currently support US ZIP codes, region codes, ages and genders. To programmatically obtain the list of supported InfoTypes, use ListInfoTypes with the supported_by=RISK_ANALYSIS filter.
- custom
Tag string - A column can be tagged with a custom tag. In this case, the user must indicate an auxiliary table that contains statistical information on the possible values of this column (below).
- field
Google
Privacy Dlp V2Field Id Response - Identifies the column.
- inferred
Google
Protobuf Empty Response - If no semantic tag is indicated, we infer the statistical model from the distribution of values in the input data
- info
Type GooglePrivacy Dlp V2Info Type Response - A column can be tagged with a InfoType to use the relevant public dataset as a statistical model of population, if available. We currently support US ZIP codes, region codes, ages and genders. To programmatically obtain the list of supported InfoTypes, use ListInfoTypes with the supported_by=RISK_ANALYSIS filter.
- custom_
tag str - A column can be tagged with a custom tag. In this case, the user must indicate an auxiliary table that contains statistical information on the possible values of this column (below).
- field
Google
Privacy Dlp V2Field Id Response - Identifies the column.
- inferred
Google
Protobuf Empty Response - If no semantic tag is indicated, we infer the statistical model from the distribution of values in the input data
- info_
type GooglePrivacy Dlp V2Info Type Response - A column can be tagged with a InfoType to use the relevant public dataset as a statistical model of population, if available. We currently support US ZIP codes, region codes, ages and genders. To programmatically obtain the list of supported InfoTypes, use ListInfoTypes with the supported_by=RISK_ANALYSIS filter.
- custom
Tag String - A column can be tagged with a custom tag. In this case, the user must indicate an auxiliary table that contains statistical information on the possible values of this column (below).
- field Property Map
- Identifies the column.
- inferred Property Map
- If no semantic tag is indicated, we infer the statistical model from the distribution of values in the input data
- info
Type Property Map - A column can be tagged with a InfoType to use the relevant public dataset as a statistical model of population, if available. We currently support US ZIP codes, region codes, ages and genders. To programmatically obtain the list of supported InfoTypes, use ListInfoTypes with the supported_by=RISK_ANALYSIS filter.
GooglePrivacyDlpV2QuasiIdentifierField, GooglePrivacyDlpV2QuasiIdentifierFieldArgs
- Custom
Tag string - A column can be tagged with a custom tag. In this case, the user must indicate an auxiliary table that contains statistical information on the possible values of this column (below).
- Field
Pulumi.
Google Native. DLP. V2. Inputs. Google Privacy Dlp V2Field Id - Identifies the column.
- Custom
Tag string - A column can be tagged with a custom tag. In this case, the user must indicate an auxiliary table that contains statistical information on the possible values of this column (below).
- Field
Google
Privacy Dlp V2Field Id - Identifies the column.
- custom
Tag String - A column can be tagged with a custom tag. In this case, the user must indicate an auxiliary table that contains statistical information on the possible values of this column (below).
- field
Google
Privacy Dlp V2Field Id - Identifies the column.
- custom
Tag string - A column can be tagged with a custom tag. In this case, the user must indicate an auxiliary table that contains statistical information on the possible values of this column (below).
- field
Google
Privacy Dlp V2Field Id - Identifies the column.
- custom_
tag str - A column can be tagged with a custom tag. In this case, the user must indicate an auxiliary table that contains statistical information on the possible values of this column (below).
- field
Google
Privacy Dlp V2Field Id - Identifies the column.
- custom
Tag String - A column can be tagged with a custom tag. In this case, the user must indicate an auxiliary table that contains statistical information on the possible values of this column (below).
- field Property Map
- Identifies the column.
GooglePrivacyDlpV2QuasiIdentifierFieldResponse, GooglePrivacyDlpV2QuasiIdentifierFieldResponseArgs
- Custom
Tag string - A column can be tagged with a custom tag. In this case, the user must indicate an auxiliary table that contains statistical information on the possible values of this column (below).
- Field
Pulumi.
Google Native. DLP. V2. Inputs. Google Privacy Dlp V2Field Id Response - Identifies the column.
- Custom
Tag string - A column can be tagged with a custom tag. In this case, the user must indicate an auxiliary table that contains statistical information on the possible values of this column (below).
- Field
Google
Privacy Dlp V2Field Id Response - Identifies the column.
- custom
Tag String - A column can be tagged with a custom tag. In this case, the user must indicate an auxiliary table that contains statistical information on the possible values of this column (below).
- field
Google
Privacy Dlp V2Field Id Response - Identifies the column.
- custom
Tag string - A column can be tagged with a custom tag. In this case, the user must indicate an auxiliary table that contains statistical information on the possible values of this column (below).
- field
Google
Privacy Dlp V2Field Id Response - Identifies the column.
- custom_
tag str - A column can be tagged with a custom tag. In this case, the user must indicate an auxiliary table that contains statistical information on the possible values of this column (below).
- field
Google
Privacy Dlp V2Field Id Response - Identifies the column.
- custom
Tag String - A column can be tagged with a custom tag. In this case, the user must indicate an auxiliary table that contains statistical information on the possible values of this column (below).
- field Property Map
- Identifies the column.
GooglePrivacyDlpV2RecordConditionResponse, GooglePrivacyDlpV2RecordConditionResponseArgs
- Expressions
Google
Privacy Dlp V2Expressions Response - An expression.
- expressions
Google
Privacy Dlp V2Expressions Response - An expression.
- expressions
Google
Privacy Dlp V2Expressions Response - An expression.
- expressions
Google
Privacy Dlp V2Expressions Response - An expression.
- expressions Property Map
- An expression.
GooglePrivacyDlpV2RecordSuppressionResponse, GooglePrivacyDlpV2RecordSuppressionResponseArgs
- Condition
Pulumi.
Google Native. DLP. V2. Inputs. Google Privacy Dlp V2Record Condition Response - A condition that when it evaluates to true will result in the record being evaluated to be suppressed from the transformed content.
- Condition
Google
Privacy Dlp V2Record Condition Response - A condition that when it evaluates to true will result in the record being evaluated to be suppressed from the transformed content.
- condition
Google
Privacy Dlp V2Record Condition Response - A condition that when it evaluates to true will result in the record being evaluated to be suppressed from the transformed content.
- condition
Google
Privacy Dlp V2Record Condition Response - A condition that when it evaluates to true will result in the record being evaluated to be suppressed from the transformed content.
- condition
Google
Privacy Dlp V2Record Condition Response - A condition that when it evaluates to true will result in the record being evaluated to be suppressed from the transformed content.
- condition Property Map
- A condition that when it evaluates to true will result in the record being evaluated to be suppressed from the transformed content.
GooglePrivacyDlpV2RecordTransformationsResponse, GooglePrivacyDlpV2RecordTransformationsResponseArgs
- Field
Transformations List<Pulumi.Google Native. DLP. V2. Inputs. Google Privacy Dlp V2Field Transformation Response> - Transform the record by applying various field transformations.
- Record
Suppressions List<Pulumi.Google Native. DLP. V2. Inputs. Google Privacy Dlp V2Record Suppression Response> - Configuration defining which records get suppressed entirely. Records that match any suppression rule are omitted from the output.
- Field
Transformations []GooglePrivacy Dlp V2Field Transformation Response - Transform the record by applying various field transformations.
- Record
Suppressions []GooglePrivacy Dlp V2Record Suppression Response - Configuration defining which records get suppressed entirely. Records that match any suppression rule are omitted from the output.
- field
Transformations List<GooglePrivacy Dlp V2Field Transformation Response> - Transform the record by applying various field transformations.
- record
Suppressions List<GooglePrivacy Dlp V2Record Suppression Response> - Configuration defining which records get suppressed entirely. Records that match any suppression rule are omitted from the output.
- field
Transformations GooglePrivacy Dlp V2Field Transformation Response[] - Transform the record by applying various field transformations.
- record
Suppressions GooglePrivacy Dlp V2Record Suppression Response[] - Configuration defining which records get suppressed entirely. Records that match any suppression rule are omitted from the output.
- field_
transformations Sequence[GooglePrivacy Dlp V2Field Transformation Response] - Transform the record by applying various field transformations.
- record_
suppressions Sequence[GooglePrivacy Dlp V2Record Suppression Response] - Configuration defining which records get suppressed entirely. Records that match any suppression rule are omitted from the output.
- field
Transformations List<Property Map> - Transform the record by applying various field transformations.
- record
Suppressions List<Property Map> - Configuration defining which records get suppressed entirely. Records that match any suppression rule are omitted from the output.
GooglePrivacyDlpV2Regex, GooglePrivacyDlpV2RegexArgs
- Group
Indexes List<int> - The index of the submatch to extract as findings. When not specified, the entire match is returned. No more than 3 may be included.
- Pattern string
- Pattern defining the regular expression. Its syntax (https://github.com/google/re2/wiki/Syntax) can be found under the google/re2 repository on GitHub.
- Group
Indexes []int - The index of the submatch to extract as findings. When not specified, the entire match is returned. No more than 3 may be included.
- Pattern string
- Pattern defining the regular expression. Its syntax (https://github.com/google/re2/wiki/Syntax) can be found under the google/re2 repository on GitHub.
- group
Indexes List<Integer> - The index of the submatch to extract as findings. When not specified, the entire match is returned. No more than 3 may be included.
- pattern String
- Pattern defining the regular expression. Its syntax (https://github.com/google/re2/wiki/Syntax) can be found under the google/re2 repository on GitHub.
- group
Indexes number[] - The index of the submatch to extract as findings. When not specified, the entire match is returned. No more than 3 may be included.
- pattern string
- Pattern defining the regular expression. Its syntax (https://github.com/google/re2/wiki/Syntax) can be found under the google/re2 repository on GitHub.
- group_
indexes Sequence[int] - The index of the submatch to extract as findings. When not specified, the entire match is returned. No more than 3 may be included.
- pattern str
- Pattern defining the regular expression. Its syntax (https://github.com/google/re2/wiki/Syntax) can be found under the google/re2 repository on GitHub.
- group
Indexes List<Number> - The index of the submatch to extract as findings. When not specified, the entire match is returned. No more than 3 may be included.
- pattern String
- Pattern defining the regular expression. Its syntax (https://github.com/google/re2/wiki/Syntax) can be found under the google/re2 repository on GitHub.
GooglePrivacyDlpV2RegexResponse, GooglePrivacyDlpV2RegexResponseArgs
- Group
Indexes List<int> - The index of the submatch to extract as findings. When not specified, the entire match is returned. No more than 3 may be included.
- Pattern string
- Pattern defining the regular expression. Its syntax (https://github.com/google/re2/wiki/Syntax) can be found under the google/re2 repository on GitHub.
- Group
Indexes []int - The index of the submatch to extract as findings. When not specified, the entire match is returned. No more than 3 may be included.
- Pattern string
- Pattern defining the regular expression. Its syntax (https://github.com/google/re2/wiki/Syntax) can be found under the google/re2 repository on GitHub.
- group
Indexes List<Integer> - The index of the submatch to extract as findings. When not specified, the entire match is returned. No more than 3 may be included.
- pattern String
- Pattern defining the regular expression. Its syntax (https://github.com/google/re2/wiki/Syntax) can be found under the google/re2 repository on GitHub.
- group
Indexes number[] - The index of the submatch to extract as findings. When not specified, the entire match is returned. No more than 3 may be included.
- pattern string
- Pattern defining the regular expression. Its syntax (https://github.com/google/re2/wiki/Syntax) can be found under the google/re2 repository on GitHub.
- group_
indexes Sequence[int] - The index of the submatch to extract as findings. When not specified, the entire match is returned. No more than 3 may be included.
- pattern str
- Pattern defining the regular expression. Its syntax (https://github.com/google/re2/wiki/Syntax) can be found under the google/re2 repository on GitHub.
- group
Indexes List<Number> - The index of the submatch to extract as findings. When not specified, the entire match is returned. No more than 3 may be included.
- pattern String
- Pattern defining the regular expression. Its syntax (https://github.com/google/re2/wiki/Syntax) can be found under the google/re2 repository on GitHub.
GooglePrivacyDlpV2ReplaceDictionaryConfigResponse, GooglePrivacyDlpV2ReplaceDictionaryConfigResponseArgs
- Word
List Pulumi.Google Native. DLP. V2. Inputs. Google Privacy Dlp V2Word List Response - A list of words to select from for random replacement. The limits page contains details about the size limits of dictionaries.
- Word
List GooglePrivacy Dlp V2Word List Response - A list of words to select from for random replacement. The limits page contains details about the size limits of dictionaries.
- word
List GooglePrivacy Dlp V2Word List Response - A list of words to select from for random replacement. The limits page contains details about the size limits of dictionaries.
- word
List GooglePrivacy Dlp V2Word List Response - A list of words to select from for random replacement. The limits page contains details about the size limits of dictionaries.
- word_
list GooglePrivacy Dlp V2Word List Response - A list of words to select from for random replacement. The limits page contains details about the size limits of dictionaries.
- word
List Property Map - A list of words to select from for random replacement. The limits page contains details about the size limits of dictionaries.
GooglePrivacyDlpV2ReplaceValueConfigResponse, GooglePrivacyDlpV2ReplaceValueConfigResponseArgs
- New
Value Pulumi.Google Native. DLP. V2. Inputs. Google Privacy Dlp V2Value Response - Value to replace it with.
- New
Value GooglePrivacy Dlp V2Value Response - Value to replace it with.
- new
Value GooglePrivacy Dlp V2Value Response - Value to replace it with.
- new
Value GooglePrivacy Dlp V2Value Response - Value to replace it with.
- new_
value GooglePrivacy Dlp V2Value Response - Value to replace it with.
- new
Value Property Map - Value to replace it with.
GooglePrivacyDlpV2RequestedDeidentifyOptionsResponse, GooglePrivacyDlpV2RequestedDeidentifyOptionsResponseArgs
- Snapshot
Deidentify Pulumi.Template Google Native. DLP. V2. Inputs. Google Privacy Dlp V2Deidentify Template Response - Snapshot of the state of the
DeidentifyTemplatefrom the Deidentify action at the time this job was run. - Snapshot
Image Pulumi.Redact Template Google Native. DLP. V2. Inputs. Google Privacy Dlp V2Deidentify Template Response - Snapshot of the state of the image transformation
DeidentifyTemplatefrom theDeidentifyaction at the time this job was run. - Snapshot
Structured Pulumi.Deidentify Template Google Native. DLP. V2. Inputs. Google Privacy Dlp V2Deidentify Template Response - Snapshot of the state of the structured
DeidentifyTemplatefrom theDeidentifyaction at the time this job was run.
- Snapshot
Deidentify GoogleTemplate Privacy Dlp V2Deidentify Template Response - Snapshot of the state of the
DeidentifyTemplatefrom the Deidentify action at the time this job was run. - Snapshot
Image GoogleRedact Template Privacy Dlp V2Deidentify Template Response - Snapshot of the state of the image transformation
DeidentifyTemplatefrom theDeidentifyaction at the time this job was run. - Snapshot
Structured GoogleDeidentify Template Privacy Dlp V2Deidentify Template Response - Snapshot of the state of the structured
DeidentifyTemplatefrom theDeidentifyaction at the time this job was run.
- snapshot
Deidentify GoogleTemplate Privacy Dlp V2Deidentify Template Response - Snapshot of the state of the
DeidentifyTemplatefrom the Deidentify action at the time this job was run. - snapshot
Image GoogleRedact Template Privacy Dlp V2Deidentify Template Response - Snapshot of the state of the image transformation
DeidentifyTemplatefrom theDeidentifyaction at the time this job was run. - snapshot
Structured GoogleDeidentify Template Privacy Dlp V2Deidentify Template Response - Snapshot of the state of the structured
DeidentifyTemplatefrom theDeidentifyaction at the time this job was run.
- snapshot
Deidentify GoogleTemplate Privacy Dlp V2Deidentify Template Response - Snapshot of the state of the
DeidentifyTemplatefrom the Deidentify action at the time this job was run. - snapshot
Image GoogleRedact Template Privacy Dlp V2Deidentify Template Response - Snapshot of the state of the image transformation
DeidentifyTemplatefrom theDeidentifyaction at the time this job was run. - snapshot
Structured GoogleDeidentify Template Privacy Dlp V2Deidentify Template Response - Snapshot of the state of the structured
DeidentifyTemplatefrom theDeidentifyaction at the time this job was run.
- snapshot_
deidentify_ Googletemplate Privacy Dlp V2Deidentify Template Response - Snapshot of the state of the
DeidentifyTemplatefrom the Deidentify action at the time this job was run. - snapshot_
image_ Googleredact_ template Privacy Dlp V2Deidentify Template Response - Snapshot of the state of the image transformation
DeidentifyTemplatefrom theDeidentifyaction at the time this job was run. - snapshot_
structured_ Googledeidentify_ template Privacy Dlp V2Deidentify Template Response - Snapshot of the state of the structured
DeidentifyTemplatefrom theDeidentifyaction at the time this job was run.
- snapshot
Deidentify Property MapTemplate - Snapshot of the state of the
DeidentifyTemplatefrom the Deidentify action at the time this job was run. - snapshot
Image Property MapRedact Template - Snapshot of the state of the image transformation
DeidentifyTemplatefrom theDeidentifyaction at the time this job was run. - snapshot
Structured Property MapDeidentify Template - Snapshot of the state of the structured
DeidentifyTemplatefrom theDeidentifyaction at the time this job was run.
GooglePrivacyDlpV2RequestedOptionsResponse, GooglePrivacyDlpV2RequestedOptionsResponseArgs
- Job
Config Pulumi.Google Native. DLP. V2. Inputs. Google Privacy Dlp V2Inspect Job Config Response - Inspect config.
- Snapshot
Inspect Pulumi.Template Google Native. DLP. V2. Inputs. Google Privacy Dlp V2Inspect Template Response - If run with an InspectTemplate, a snapshot of its state at the time of this run.
- Job
Config GooglePrivacy Dlp V2Inspect Job Config Response - Inspect config.
- Snapshot
Inspect GoogleTemplate Privacy Dlp V2Inspect Template Response - If run with an InspectTemplate, a snapshot of its state at the time of this run.
- job
Config GooglePrivacy Dlp V2Inspect Job Config Response - Inspect config.
- snapshot
Inspect GoogleTemplate Privacy Dlp V2Inspect Template Response - If run with an InspectTemplate, a snapshot of its state at the time of this run.
- job
Config GooglePrivacy Dlp V2Inspect Job Config Response - Inspect config.
- snapshot
Inspect GoogleTemplate Privacy Dlp V2Inspect Template Response - If run with an InspectTemplate, a snapshot of its state at the time of this run.
- job_
config GooglePrivacy Dlp V2Inspect Job Config Response - Inspect config.
- snapshot_
inspect_ Googletemplate Privacy Dlp V2Inspect Template Response - If run with an InspectTemplate, a snapshot of its state at the time of this run.
- job
Config Property Map - Inspect config.
- snapshot
Inspect Property MapTemplate - If run with an InspectTemplate, a snapshot of its state at the time of this run.
GooglePrivacyDlpV2RequestedRiskAnalysisOptionsResponse, GooglePrivacyDlpV2RequestedRiskAnalysisOptionsResponseArgs
- Job
Config Pulumi.Google Native. DLP. V2. Inputs. Google Privacy Dlp V2Risk Analysis Job Config Response - The job config for the risk job.
- Job
Config GooglePrivacy Dlp V2Risk Analysis Job Config Response - The job config for the risk job.
- job
Config GooglePrivacy Dlp V2Risk Analysis Job Config Response - The job config for the risk job.
- job
Config GooglePrivacy Dlp V2Risk Analysis Job Config Response - The job config for the risk job.
- job_
config GooglePrivacy Dlp V2Risk Analysis Job Config Response - The job config for the risk job.
- job
Config Property Map - The job config for the risk job.
GooglePrivacyDlpV2ResultResponse, GooglePrivacyDlpV2ResultResponseArgs
- Hybrid
Stats Pulumi.Google Native. DLP. V2. Inputs. Google Privacy Dlp V2Hybrid Inspect Statistics Response - Statistics related to the processing of hybrid inspect.
- Info
Type List<Pulumi.Stats Google Native. DLP. V2. Inputs. Google Privacy Dlp V2Info Type Stats Response> - Statistics of how many instances of each info type were found during inspect job.
- Processed
Bytes string - Total size in bytes that were processed.
- Total
Estimated stringBytes - Estimate of the number of bytes to process.
- Hybrid
Stats GooglePrivacy Dlp V2Hybrid Inspect Statistics Response - Statistics related to the processing of hybrid inspect.
- Info
Type []GoogleStats Privacy Dlp V2Info Type Stats Response - Statistics of how many instances of each info type were found during inspect job.
- Processed
Bytes string - Total size in bytes that were processed.
- Total
Estimated stringBytes - Estimate of the number of bytes to process.
- hybrid
Stats GooglePrivacy Dlp V2Hybrid Inspect Statistics Response - Statistics related to the processing of hybrid inspect.
- info
Type List<GoogleStats Privacy Dlp V2Info Type Stats Response> - Statistics of how many instances of each info type were found during inspect job.
- processed
Bytes String - Total size in bytes that were processed.
- total
Estimated StringBytes - Estimate of the number of bytes to process.
- hybrid
Stats GooglePrivacy Dlp V2Hybrid Inspect Statistics Response - Statistics related to the processing of hybrid inspect.
- info
Type GoogleStats Privacy Dlp V2Info Type Stats Response[] - Statistics of how many instances of each info type were found during inspect job.
- processed
Bytes string - Total size in bytes that were processed.
- total
Estimated stringBytes - Estimate of the number of bytes to process.
- hybrid_
stats GooglePrivacy Dlp V2Hybrid Inspect Statistics Response - Statistics related to the processing of hybrid inspect.
- info_
type_ Sequence[Googlestats Privacy Dlp V2Info Type Stats Response] - Statistics of how many instances of each info type were found during inspect job.
- processed_
bytes str - Total size in bytes that were processed.
- total_
estimated_ strbytes - Estimate of the number of bytes to process.
- hybrid
Stats Property Map - Statistics related to the processing of hybrid inspect.
- info
Type List<Property Map>Stats - Statistics of how many instances of each info type were found during inspect job.
- processed
Bytes String - Total size in bytes that were processed.
- total
Estimated StringBytes - Estimate of the number of bytes to process.
GooglePrivacyDlpV2RiskAnalysisJobConfig, GooglePrivacyDlpV2RiskAnalysisJobConfigArgs
- Actions
List<Pulumi.
Google Native. DLP. V2. Inputs. Google Privacy Dlp V2Action> - Actions to execute at the completion of the job. Are executed in the order provided.
- Privacy
Metric Pulumi.Google Native. DLP. V2. Inputs. Google Privacy Dlp V2Privacy Metric - Privacy metric to compute.
- Source
Table Pulumi.Google Native. DLP. V2. Inputs. Google Privacy Dlp V2Big Query Table - Input dataset to compute metrics over.
- Actions
[]Google
Privacy Dlp V2Action - Actions to execute at the completion of the job. Are executed in the order provided.
- Privacy
Metric GooglePrivacy Dlp V2Privacy Metric - Privacy metric to compute.
- Source
Table GooglePrivacy Dlp V2Big Query Table - Input dataset to compute metrics over.
- actions
List<Google
Privacy Dlp V2Action> - Actions to execute at the completion of the job. Are executed in the order provided.
- privacy
Metric GooglePrivacy Dlp V2Privacy Metric - Privacy metric to compute.
- source
Table GooglePrivacy Dlp V2Big Query Table - Input dataset to compute metrics over.
- actions
Google
Privacy Dlp V2Action[] - Actions to execute at the completion of the job. Are executed in the order provided.
- privacy
Metric GooglePrivacy Dlp V2Privacy Metric - Privacy metric to compute.
- source
Table GooglePrivacy Dlp V2Big Query Table - Input dataset to compute metrics over.
- actions
Sequence[Google
Privacy Dlp V2Action] - Actions to execute at the completion of the job. Are executed in the order provided.
- privacy_
metric GooglePrivacy Dlp V2Privacy Metric - Privacy metric to compute.
- source_
table GooglePrivacy Dlp V2Big Query Table - Input dataset to compute metrics over.
- actions List<Property Map>
- Actions to execute at the completion of the job. Are executed in the order provided.
- privacy
Metric Property Map - Privacy metric to compute.
- source
Table Property Map - Input dataset to compute metrics over.
GooglePrivacyDlpV2RiskAnalysisJobConfigResponse, GooglePrivacyDlpV2RiskAnalysisJobConfigResponseArgs
- Actions
List<Pulumi.
Google Native. DLP. V2. Inputs. Google Privacy Dlp V2Action Response> - Actions to execute at the completion of the job. Are executed in the order provided.
- Privacy
Metric Pulumi.Google Native. DLP. V2. Inputs. Google Privacy Dlp V2Privacy Metric Response - Privacy metric to compute.
- Source
Table Pulumi.Google Native. DLP. V2. Inputs. Google Privacy Dlp V2Big Query Table Response - Input dataset to compute metrics over.
- Actions
[]Google
Privacy Dlp V2Action Response - Actions to execute at the completion of the job. Are executed in the order provided.
- Privacy
Metric GooglePrivacy Dlp V2Privacy Metric Response - Privacy metric to compute.
- Source
Table GooglePrivacy Dlp V2Big Query Table Response - Input dataset to compute metrics over.
- actions
List<Google
Privacy Dlp V2Action Response> - Actions to execute at the completion of the job. Are executed in the order provided.
- privacy
Metric GooglePrivacy Dlp V2Privacy Metric Response - Privacy metric to compute.
- source
Table GooglePrivacy Dlp V2Big Query Table Response - Input dataset to compute metrics over.
- actions
Google
Privacy Dlp V2Action Response[] - Actions to execute at the completion of the job. Are executed in the order provided.
- privacy
Metric GooglePrivacy Dlp V2Privacy Metric Response - Privacy metric to compute.
- source
Table GooglePrivacy Dlp V2Big Query Table Response - Input dataset to compute metrics over.
- actions
Sequence[Google
Privacy Dlp V2Action Response] - Actions to execute at the completion of the job. Are executed in the order provided.
- privacy_
metric GooglePrivacy Dlp V2Privacy Metric Response - Privacy metric to compute.
- source_
table GooglePrivacy Dlp V2Big Query Table Response - Input dataset to compute metrics over.
- actions List<Property Map>
- Actions to execute at the completion of the job. Are executed in the order provided.
- privacy
Metric Property Map - Privacy metric to compute.
- source
Table Property Map - Input dataset to compute metrics over.
GooglePrivacyDlpV2SaveFindings, GooglePrivacyDlpV2SaveFindingsArgs
- Output
Config Pulumi.Google Native. DLP. V2. Inputs. Google Privacy Dlp V2Output Storage Config - Location to store findings outside of DLP.
- Output
Config GooglePrivacy Dlp V2Output Storage Config - Location to store findings outside of DLP.
- output
Config GooglePrivacy Dlp V2Output Storage Config - Location to store findings outside of DLP.
- output
Config GooglePrivacy Dlp V2Output Storage Config - Location to store findings outside of DLP.
- output_
config GooglePrivacy Dlp V2Output Storage Config - Location to store findings outside of DLP.
- output
Config Property Map - Location to store findings outside of DLP.
GooglePrivacyDlpV2SaveFindingsResponse, GooglePrivacyDlpV2SaveFindingsResponseArgs
- Output
Config Pulumi.Google Native. DLP. V2. Inputs. Google Privacy Dlp V2Output Storage Config Response - Location to store findings outside of DLP.
- Output
Config GooglePrivacy Dlp V2Output Storage Config Response - Location to store findings outside of DLP.
- output
Config GooglePrivacy Dlp V2Output Storage Config Response - Location to store findings outside of DLP.
- output
Config GooglePrivacy Dlp V2Output Storage Config Response - Location to store findings outside of DLP.
- output_
config GooglePrivacy Dlp V2Output Storage Config Response - Location to store findings outside of DLP.
- output
Config Property Map - Location to store findings outside of DLP.
GooglePrivacyDlpV2SelectedInfoTypesResponse, GooglePrivacyDlpV2SelectedInfoTypesResponseArgs
- Info
Types List<Pulumi.Google Native. DLP. V2. Inputs. Google Privacy Dlp V2Info Type Response> - InfoTypes to apply the transformation to. Required. Provided InfoType must be unique within the ImageTransformations message.
- Info
Types []GooglePrivacy Dlp V2Info Type Response - InfoTypes to apply the transformation to. Required. Provided InfoType must be unique within the ImageTransformations message.
- info
Types List<GooglePrivacy Dlp V2Info Type Response> - InfoTypes to apply the transformation to. Required. Provided InfoType must be unique within the ImageTransformations message.
- info
Types GooglePrivacy Dlp V2Info Type Response[] - InfoTypes to apply the transformation to. Required. Provided InfoType must be unique within the ImageTransformations message.
- info_
types Sequence[GooglePrivacy Dlp V2Info Type Response] - InfoTypes to apply the transformation to. Required. Provided InfoType must be unique within the ImageTransformations message.
- info
Types List<Property Map> - InfoTypes to apply the transformation to. Required. Provided InfoType must be unique within the ImageTransformations message.
GooglePrivacyDlpV2SensitivityScore, GooglePrivacyDlpV2SensitivityScoreArgs
- Score
Pulumi.
Google Native. DLP. V2. Google Privacy Dlp V2Sensitivity Score Score - The sensitivity score applied to the resource.
- Score
Google
Privacy Dlp V2Sensitivity Score Score - The sensitivity score applied to the resource.
- score
Google
Privacy Dlp V2Sensitivity Score Score - The sensitivity score applied to the resource.
- score
Google
Privacy Dlp V2Sensitivity Score Score - The sensitivity score applied to the resource.
- score
Google
Privacy Dlp V2Sensitivity Score Score - The sensitivity score applied to the resource.
- score "SENSITIVITY_SCORE_UNSPECIFIED" | "SENSITIVITY_LOW" | "SENSITIVITY_MODERATE" | "SENSITIVITY_HIGH"
- The sensitivity score applied to the resource.
GooglePrivacyDlpV2SensitivityScoreResponse, GooglePrivacyDlpV2SensitivityScoreResponseArgs
- Score string
- The sensitivity score applied to the resource.
- Score string
- The sensitivity score applied to the resource.
- score String
- The sensitivity score applied to the resource.
- score string
- The sensitivity score applied to the resource.
- score str
- The sensitivity score applied to the resource.
- score String
- The sensitivity score applied to the resource.
GooglePrivacyDlpV2SensitivityScoreScore, GooglePrivacyDlpV2SensitivityScoreScoreArgs
- Sensitivity
Score Unspecified - SENSITIVITY_SCORE_UNSPECIFIEDUnused.
- Sensitivity
Low - SENSITIVITY_LOWNo sensitive information detected. The resource isn't publicly accessible.
- Sensitivity
Moderate - SENSITIVITY_MODERATEMedium risk. Contains personally identifiable information (PII), potentially sensitive data, or fields with free-text data that are at a higher risk of having intermittent sensitive data. Consider limiting access.
- Sensitivity
High - SENSITIVITY_HIGHHigh risk. Sensitive personally identifiable information (SPII) can be present. Exfiltration of data can lead to user data loss. Re-identification of users might be possible. Consider limiting usage and or removing SPII.
- Google
Privacy Dlp V2Sensitivity Score Score Sensitivity Score Unspecified - SENSITIVITY_SCORE_UNSPECIFIEDUnused.
- Google
Privacy Dlp V2Sensitivity Score Score Sensitivity Low - SENSITIVITY_LOWNo sensitive information detected. The resource isn't publicly accessible.
- Google
Privacy Dlp V2Sensitivity Score Score Sensitivity Moderate - SENSITIVITY_MODERATEMedium risk. Contains personally identifiable information (PII), potentially sensitive data, or fields with free-text data that are at a higher risk of having intermittent sensitive data. Consider limiting access.
- Google
Privacy Dlp V2Sensitivity Score Score Sensitivity High - SENSITIVITY_HIGHHigh risk. Sensitive personally identifiable information (SPII) can be present. Exfiltration of data can lead to user data loss. Re-identification of users might be possible. Consider limiting usage and or removing SPII.
- Sensitivity
Score Unspecified - SENSITIVITY_SCORE_UNSPECIFIEDUnused.
- Sensitivity
Low - SENSITIVITY_LOWNo sensitive information detected. The resource isn't publicly accessible.
- Sensitivity
Moderate - SENSITIVITY_MODERATEMedium risk. Contains personally identifiable information (PII), potentially sensitive data, or fields with free-text data that are at a higher risk of having intermittent sensitive data. Consider limiting access.
- Sensitivity
High - SENSITIVITY_HIGHHigh risk. Sensitive personally identifiable information (SPII) can be present. Exfiltration of data can lead to user data loss. Re-identification of users might be possible. Consider limiting usage and or removing SPII.
- Sensitivity
Score Unspecified - SENSITIVITY_SCORE_UNSPECIFIEDUnused.
- Sensitivity
Low - SENSITIVITY_LOWNo sensitive information detected. The resource isn't publicly accessible.
- Sensitivity
Moderate - SENSITIVITY_MODERATEMedium risk. Contains personally identifiable information (PII), potentially sensitive data, or fields with free-text data that are at a higher risk of having intermittent sensitive data. Consider limiting access.
- Sensitivity
High - SENSITIVITY_HIGHHigh risk. Sensitive personally identifiable information (SPII) can be present. Exfiltration of data can lead to user data loss. Re-identification of users might be possible. Consider limiting usage and or removing SPII.
- SENSITIVITY_SCORE_UNSPECIFIED
- SENSITIVITY_SCORE_UNSPECIFIEDUnused.
- SENSITIVITY_LOW
- SENSITIVITY_LOWNo sensitive information detected. The resource isn't publicly accessible.
- SENSITIVITY_MODERATE
- SENSITIVITY_MODERATEMedium risk. Contains personally identifiable information (PII), potentially sensitive data, or fields with free-text data that are at a higher risk of having intermittent sensitive data. Consider limiting access.
- SENSITIVITY_HIGH
- SENSITIVITY_HIGHHigh risk. Sensitive personally identifiable information (SPII) can be present. Exfiltration of data can lead to user data loss. Re-identification of users might be possible. Consider limiting usage and or removing SPII.
- "SENSITIVITY_SCORE_UNSPECIFIED"
- SENSITIVITY_SCORE_UNSPECIFIEDUnused.
- "SENSITIVITY_LOW"
- SENSITIVITY_LOWNo sensitive information detected. The resource isn't publicly accessible.
- "SENSITIVITY_MODERATE"
- SENSITIVITY_MODERATEMedium risk. Contains personally identifiable information (PII), potentially sensitive data, or fields with free-text data that are at a higher risk of having intermittent sensitive data. Consider limiting access.
- "SENSITIVITY_HIGH"
- SENSITIVITY_HIGHHigh risk. Sensitive personally identifiable information (SPII) can be present. Exfiltration of data can lead to user data loss. Re-identification of users might be possible. Consider limiting usage and or removing SPII.
GooglePrivacyDlpV2StatisticalTable, GooglePrivacyDlpV2StatisticalTableArgs
- Quasi
Ids List<Pulumi.Google Native. DLP. V2. Inputs. Google Privacy Dlp V2Quasi Identifier Field> - Quasi-identifier columns.
- Relative
Frequency Pulumi.Google Native. DLP. V2. Inputs. Google Privacy Dlp V2Field Id - The relative frequency column must contain a floating-point number between 0 and 1 (inclusive). Null values are assumed to be zero.
- Table
Pulumi.
Google Native. DLP. V2. Inputs. Google Privacy Dlp V2Big Query Table - Auxiliary table location.
- Quasi
Ids []GooglePrivacy Dlp V2Quasi Identifier Field - Quasi-identifier columns.
- Relative
Frequency GooglePrivacy Dlp V2Field Id - The relative frequency column must contain a floating-point number between 0 and 1 (inclusive). Null values are assumed to be zero.
- Table
Google
Privacy Dlp V2Big Query Table - Auxiliary table location.
- quasi
Ids List<GooglePrivacy Dlp V2Quasi Identifier Field> - Quasi-identifier columns.
- relative
Frequency GooglePrivacy Dlp V2Field Id - The relative frequency column must contain a floating-point number between 0 and 1 (inclusive). Null values are assumed to be zero.
- table
Google
Privacy Dlp V2Big Query Table - Auxiliary table location.
- quasi
Ids GooglePrivacy Dlp V2Quasi Identifier Field[] - Quasi-identifier columns.
- relative
Frequency GooglePrivacy Dlp V2Field Id - The relative frequency column must contain a floating-point number between 0 and 1 (inclusive). Null values are assumed to be zero.
- table
Google
Privacy Dlp V2Big Query Table - Auxiliary table location.
- quasi_
ids Sequence[GooglePrivacy Dlp V2Quasi Identifier Field] - Quasi-identifier columns.
- relative_
frequency GooglePrivacy Dlp V2Field Id - The relative frequency column must contain a floating-point number between 0 and 1 (inclusive). Null values are assumed to be zero.
- table
Google
Privacy Dlp V2Big Query Table - Auxiliary table location.
- quasi
Ids List<Property Map> - Quasi-identifier columns.
- relative
Frequency Property Map - The relative frequency column must contain a floating-point number between 0 and 1 (inclusive). Null values are assumed to be zero.
- table Property Map
- Auxiliary table location.
GooglePrivacyDlpV2StatisticalTableResponse, GooglePrivacyDlpV2StatisticalTableResponseArgs
- Quasi
Ids List<Pulumi.Google Native. DLP. V2. Inputs. Google Privacy Dlp V2Quasi Identifier Field Response> - Quasi-identifier columns.
- Relative
Frequency Pulumi.Google Native. DLP. V2. Inputs. Google Privacy Dlp V2Field Id Response - The relative frequency column must contain a floating-point number between 0 and 1 (inclusive). Null values are assumed to be zero.
- Table
Pulumi.
Google Native. DLP. V2. Inputs. Google Privacy Dlp V2Big Query Table Response - Auxiliary table location.
- Quasi
Ids []GooglePrivacy Dlp V2Quasi Identifier Field Response - Quasi-identifier columns.
- Relative
Frequency GooglePrivacy Dlp V2Field Id Response - The relative frequency column must contain a floating-point number between 0 and 1 (inclusive). Null values are assumed to be zero.
- Table
Google
Privacy Dlp V2Big Query Table Response - Auxiliary table location.
- quasi
Ids List<GooglePrivacy Dlp V2Quasi Identifier Field Response> - Quasi-identifier columns.
- relative
Frequency GooglePrivacy Dlp V2Field Id Response - The relative frequency column must contain a floating-point number between 0 and 1 (inclusive). Null values are assumed to be zero.
- table
Google
Privacy Dlp V2Big Query Table Response - Auxiliary table location.
- quasi
Ids GooglePrivacy Dlp V2Quasi Identifier Field Response[] - Quasi-identifier columns.
- relative
Frequency GooglePrivacy Dlp V2Field Id Response - The relative frequency column must contain a floating-point number between 0 and 1 (inclusive). Null values are assumed to be zero.
- table
Google
Privacy Dlp V2Big Query Table Response - Auxiliary table location.
- quasi_
ids Sequence[GooglePrivacy Dlp V2Quasi Identifier Field Response] - Quasi-identifier columns.
- relative_
frequency GooglePrivacy Dlp V2Field Id Response - The relative frequency column must contain a floating-point number between 0 and 1 (inclusive). Null values are assumed to be zero.
- table
Google
Privacy Dlp V2Big Query Table Response - Auxiliary table location.
- quasi
Ids List<Property Map> - Quasi-identifier columns.
- relative
Frequency Property Map - The relative frequency column must contain a floating-point number between 0 and 1 (inclusive). Null values are assumed to be zero.
- table Property Map
- Auxiliary table location.
GooglePrivacyDlpV2StorageConfig, GooglePrivacyDlpV2StorageConfigArgs
- Big
Query Pulumi.Options Google Native. DLP. V2. Inputs. Google Privacy Dlp V2Big Query Options - BigQuery options.
- Cloud
Storage Pulumi.Options Google Native. DLP. V2. Inputs. Google Privacy Dlp V2Cloud Storage Options - Cloud Storage options.
- Datastore
Options Pulumi.Google Native. DLP. V2. Inputs. Google Privacy Dlp V2Datastore Options - Google Cloud Datastore options.
- Hybrid
Options Pulumi.Google Native. DLP. V2. Inputs. Google Privacy Dlp V2Hybrid Options - Hybrid inspection options.
- Timespan
Config Pulumi.Google Native. DLP. V2. Inputs. Google Privacy Dlp V2Timespan Config
- Big
Query GoogleOptions Privacy Dlp V2Big Query Options - BigQuery options.
- Cloud
Storage GoogleOptions Privacy Dlp V2Cloud Storage Options - Cloud Storage options.
- Datastore
Options GooglePrivacy Dlp V2Datastore Options - Google Cloud Datastore options.
- Hybrid
Options GooglePrivacy Dlp V2Hybrid Options - Hybrid inspection options.
- Timespan
Config GooglePrivacy Dlp V2Timespan Config
- big
Query GoogleOptions Privacy Dlp V2Big Query Options - BigQuery options.
- cloud
Storage GoogleOptions Privacy Dlp V2Cloud Storage Options - Cloud Storage options.
- datastore
Options GooglePrivacy Dlp V2Datastore Options - Google Cloud Datastore options.
- hybrid
Options GooglePrivacy Dlp V2Hybrid Options - Hybrid inspection options.
- timespan
Config GooglePrivacy Dlp V2Timespan Config
- big
Query GoogleOptions Privacy Dlp V2Big Query Options - BigQuery options.
- cloud
Storage GoogleOptions Privacy Dlp V2Cloud Storage Options - Cloud Storage options.
- datastore
Options GooglePrivacy Dlp V2Datastore Options - Google Cloud Datastore options.
- hybrid
Options GooglePrivacy Dlp V2Hybrid Options - Hybrid inspection options.
- timespan
Config GooglePrivacy Dlp V2Timespan Config
- big_
query_ Googleoptions Privacy Dlp V2Big Query Options - BigQuery options.
- cloud_
storage_ Googleoptions Privacy Dlp V2Cloud Storage Options - Cloud Storage options.
- datastore_
options GooglePrivacy Dlp V2Datastore Options - Google Cloud Datastore options.
- hybrid_
options GooglePrivacy Dlp V2Hybrid Options - Hybrid inspection options.
- timespan_
config GooglePrivacy Dlp V2Timespan Config
- big
Query Property MapOptions - BigQuery options.
- cloud
Storage Property MapOptions - Cloud Storage options.
- datastore
Options Property Map - Google Cloud Datastore options.
- hybrid
Options Property Map - Hybrid inspection options.
- timespan
Config Property Map
GooglePrivacyDlpV2StorageConfigResponse, GooglePrivacyDlpV2StorageConfigResponseArgs
- Big
Query Pulumi.Options Google Native. DLP. V2. Inputs. Google Privacy Dlp V2Big Query Options Response - BigQuery options.
- Cloud
Storage Pulumi.Options Google Native. DLP. V2. Inputs. Google Privacy Dlp V2Cloud Storage Options Response - Cloud Storage options.
- Datastore
Options Pulumi.Google Native. DLP. V2. Inputs. Google Privacy Dlp V2Datastore Options Response - Google Cloud Datastore options.
- Hybrid
Options Pulumi.Google Native. DLP. V2. Inputs. Google Privacy Dlp V2Hybrid Options Response - Hybrid inspection options.
- Timespan
Config Pulumi.Google Native. DLP. V2. Inputs. Google Privacy Dlp V2Timespan Config Response
- Big
Query GoogleOptions Privacy Dlp V2Big Query Options Response - BigQuery options.
- Cloud
Storage GoogleOptions Privacy Dlp V2Cloud Storage Options Response - Cloud Storage options.
- Datastore
Options GooglePrivacy Dlp V2Datastore Options Response - Google Cloud Datastore options.
- Hybrid
Options GooglePrivacy Dlp V2Hybrid Options Response - Hybrid inspection options.
- Timespan
Config GooglePrivacy Dlp V2Timespan Config Response
- big
Query GoogleOptions Privacy Dlp V2Big Query Options Response - BigQuery options.
- cloud
Storage GoogleOptions Privacy Dlp V2Cloud Storage Options Response - Cloud Storage options.
- datastore
Options GooglePrivacy Dlp V2Datastore Options Response - Google Cloud Datastore options.
- hybrid
Options GooglePrivacy Dlp V2Hybrid Options Response - Hybrid inspection options.
- timespan
Config GooglePrivacy Dlp V2Timespan Config Response
- big
Query GoogleOptions Privacy Dlp V2Big Query Options Response - BigQuery options.
- cloud
Storage GoogleOptions Privacy Dlp V2Cloud Storage Options Response - Cloud Storage options.
- datastore
Options GooglePrivacy Dlp V2Datastore Options Response - Google Cloud Datastore options.
- hybrid
Options GooglePrivacy Dlp V2Hybrid Options Response - Hybrid inspection options.
- timespan
Config GooglePrivacy Dlp V2Timespan Config Response
- big_
query_ Googleoptions Privacy Dlp V2Big Query Options Response - BigQuery options.
- cloud_
storage_ Googleoptions Privacy Dlp V2Cloud Storage Options Response - Cloud Storage options.
- datastore_
options GooglePrivacy Dlp V2Datastore Options Response - Google Cloud Datastore options.
- hybrid_
options GooglePrivacy Dlp V2Hybrid Options Response - Hybrid inspection options.
- timespan_
config GooglePrivacy Dlp V2Timespan Config Response
- big
Query Property MapOptions - BigQuery options.
- cloud
Storage Property MapOptions - Cloud Storage options.
- datastore
Options Property Map - Google Cloud Datastore options.
- hybrid
Options Property Map - Hybrid inspection options.
- timespan
Config Property Map
GooglePrivacyDlpV2StoredType, GooglePrivacyDlpV2StoredTypeArgs
- Create
Time string - Timestamp indicating when the version of the
StoredInfoTypeused for inspection was created. Output-only field, populated by the system. - Name string
- Resource name of the requested
StoredInfoType, for exampleorganizations/433245324/storedInfoTypes/432452342orprojects/project-id/storedInfoTypes/432452342.
- Create
Time string - Timestamp indicating when the version of the
StoredInfoTypeused for inspection was created. Output-only field, populated by the system. - Name string
- Resource name of the requested
StoredInfoType, for exampleorganizations/433245324/storedInfoTypes/432452342orprojects/project-id/storedInfoTypes/432452342.
- create
Time String - Timestamp indicating when the version of the
StoredInfoTypeused for inspection was created. Output-only field, populated by the system. - name String
- Resource name of the requested
StoredInfoType, for exampleorganizations/433245324/storedInfoTypes/432452342orprojects/project-id/storedInfoTypes/432452342.
- create
Time string - Timestamp indicating when the version of the
StoredInfoTypeused for inspection was created. Output-only field, populated by the system. - name string
- Resource name of the requested
StoredInfoType, for exampleorganizations/433245324/storedInfoTypes/432452342orprojects/project-id/storedInfoTypes/432452342.
- create_
time str - Timestamp indicating when the version of the
StoredInfoTypeused for inspection was created. Output-only field, populated by the system. - name str
- Resource name of the requested
StoredInfoType, for exampleorganizations/433245324/storedInfoTypes/432452342orprojects/project-id/storedInfoTypes/432452342.
- create
Time String - Timestamp indicating when the version of the
StoredInfoTypeused for inspection was created. Output-only field, populated by the system. - name String
- Resource name of the requested
StoredInfoType, for exampleorganizations/433245324/storedInfoTypes/432452342orprojects/project-id/storedInfoTypes/432452342.
GooglePrivacyDlpV2StoredTypeResponse, GooglePrivacyDlpV2StoredTypeResponseArgs
- Create
Time string - Timestamp indicating when the version of the
StoredInfoTypeused for inspection was created. Output-only field, populated by the system. - Name string
- Resource name of the requested
StoredInfoType, for exampleorganizations/433245324/storedInfoTypes/432452342orprojects/project-id/storedInfoTypes/432452342.
- Create
Time string - Timestamp indicating when the version of the
StoredInfoTypeused for inspection was created. Output-only field, populated by the system. - Name string
- Resource name of the requested
StoredInfoType, for exampleorganizations/433245324/storedInfoTypes/432452342orprojects/project-id/storedInfoTypes/432452342.
- create
Time String - Timestamp indicating when the version of the
StoredInfoTypeused for inspection was created. Output-only field, populated by the system. - name String
- Resource name of the requested
StoredInfoType, for exampleorganizations/433245324/storedInfoTypes/432452342orprojects/project-id/storedInfoTypes/432452342.
- create
Time string - Timestamp indicating when the version of the
StoredInfoTypeused for inspection was created. Output-only field, populated by the system. - name string
- Resource name of the requested
StoredInfoType, for exampleorganizations/433245324/storedInfoTypes/432452342orprojects/project-id/storedInfoTypes/432452342.
- create_
time str - Timestamp indicating when the version of the
StoredInfoTypeused for inspection was created. Output-only field, populated by the system. - name str
- Resource name of the requested
StoredInfoType, for exampleorganizations/433245324/storedInfoTypes/432452342orprojects/project-id/storedInfoTypes/432452342.
- create
Time String - Timestamp indicating when the version of the
StoredInfoTypeused for inspection was created. Output-only field, populated by the system. - name String
- Resource name of the requested
StoredInfoType, for exampleorganizations/433245324/storedInfoTypes/432452342orprojects/project-id/storedInfoTypes/432452342.
GooglePrivacyDlpV2TableOptions, GooglePrivacyDlpV2TableOptionsArgs
- Identifying
Fields List<Pulumi.Google Native. DLP. V2. Inputs. Google Privacy Dlp V2Field Id> - The columns that are the primary keys for table objects included in ContentItem. A copy of this cell's value will stored alongside alongside each finding so that the finding can be traced to the specific row it came from. No more than 3 may be provided.
- Identifying
Fields []GooglePrivacy Dlp V2Field Id - The columns that are the primary keys for table objects included in ContentItem. A copy of this cell's value will stored alongside alongside each finding so that the finding can be traced to the specific row it came from. No more than 3 may be provided.
- identifying
Fields List<GooglePrivacy Dlp V2Field Id> - The columns that are the primary keys for table objects included in ContentItem. A copy of this cell's value will stored alongside alongside each finding so that the finding can be traced to the specific row it came from. No more than 3 may be provided.
- identifying
Fields GooglePrivacy Dlp V2Field Id[] - The columns that are the primary keys for table objects included in ContentItem. A copy of this cell's value will stored alongside alongside each finding so that the finding can be traced to the specific row it came from. No more than 3 may be provided.
- identifying_
fields Sequence[GooglePrivacy Dlp V2Field Id] - The columns that are the primary keys for table objects included in ContentItem. A copy of this cell's value will stored alongside alongside each finding so that the finding can be traced to the specific row it came from. No more than 3 may be provided.
- identifying
Fields List<Property Map> - The columns that are the primary keys for table objects included in ContentItem. A copy of this cell's value will stored alongside alongside each finding so that the finding can be traced to the specific row it came from. No more than 3 may be provided.
GooglePrivacyDlpV2TableOptionsResponse, GooglePrivacyDlpV2TableOptionsResponseArgs
- Identifying
Fields List<Pulumi.Google Native. DLP. V2. Inputs. Google Privacy Dlp V2Field Id Response> - The columns that are the primary keys for table objects included in ContentItem. A copy of this cell's value will stored alongside alongside each finding so that the finding can be traced to the specific row it came from. No more than 3 may be provided.
- Identifying
Fields []GooglePrivacy Dlp V2Field Id Response - The columns that are the primary keys for table objects included in ContentItem. A copy of this cell's value will stored alongside alongside each finding so that the finding can be traced to the specific row it came from. No more than 3 may be provided.
- identifying
Fields List<GooglePrivacy Dlp V2Field Id Response> - The columns that are the primary keys for table objects included in ContentItem. A copy of this cell's value will stored alongside alongside each finding so that the finding can be traced to the specific row it came from. No more than 3 may be provided.
- identifying
Fields GooglePrivacy Dlp V2Field Id Response[] - The columns that are the primary keys for table objects included in ContentItem. A copy of this cell's value will stored alongside alongside each finding so that the finding can be traced to the specific row it came from. No more than 3 may be provided.
- identifying_
fields Sequence[GooglePrivacy Dlp V2Field Id Response] - The columns that are the primary keys for table objects included in ContentItem. A copy of this cell's value will stored alongside alongside each finding so that the finding can be traced to the specific row it came from. No more than 3 may be provided.
- identifying
Fields List<Property Map> - The columns that are the primary keys for table objects included in ContentItem. A copy of this cell's value will stored alongside alongside each finding so that the finding can be traced to the specific row it came from. No more than 3 may be provided.
GooglePrivacyDlpV2TaggedField, GooglePrivacyDlpV2TaggedFieldArgs
- Field
Pulumi.
Google Native. DLP. V2. Inputs. Google Privacy Dlp V2Field Id - Identifies the column.
- Custom
Tag string - A column can be tagged with a custom tag. In this case, the user must indicate an auxiliary table that contains statistical information on the possible values of this column (below).
- Inferred
Pulumi.
Google Native. DLP. V2. Inputs. Google Protobuf Empty - If no semantic tag is indicated, we infer the statistical model from the distribution of values in the input data
- Info
Type Pulumi.Google Native. DLP. V2. Inputs. Google Privacy Dlp V2Info Type - A column can be tagged with a InfoType to use the relevant public dataset as a statistical model of population, if available. We currently support US ZIP codes, region codes, ages and genders. To programmatically obtain the list of supported InfoTypes, use ListInfoTypes with the supported_by=RISK_ANALYSIS filter.
- Field
Google
Privacy Dlp V2Field Id - Identifies the column.
- Custom
Tag string - A column can be tagged with a custom tag. In this case, the user must indicate an auxiliary table that contains statistical information on the possible values of this column (below).
- Inferred
Google
Protobuf Empty - If no semantic tag is indicated, we infer the statistical model from the distribution of values in the input data
- Info
Type GooglePrivacy Dlp V2Info Type - A column can be tagged with a InfoType to use the relevant public dataset as a statistical model of population, if available. We currently support US ZIP codes, region codes, ages and genders. To programmatically obtain the list of supported InfoTypes, use ListInfoTypes with the supported_by=RISK_ANALYSIS filter.
- field
Google
Privacy Dlp V2Field Id - Identifies the column.
- custom
Tag String - A column can be tagged with a custom tag. In this case, the user must indicate an auxiliary table that contains statistical information on the possible values of this column (below).
- inferred
Google
Protobuf Empty - If no semantic tag is indicated, we infer the statistical model from the distribution of values in the input data
- info
Type GooglePrivacy Dlp V2Info Type - A column can be tagged with a InfoType to use the relevant public dataset as a statistical model of population, if available. We currently support US ZIP codes, region codes, ages and genders. To programmatically obtain the list of supported InfoTypes, use ListInfoTypes with the supported_by=RISK_ANALYSIS filter.
- field
Google
Privacy Dlp V2Field Id - Identifies the column.
- custom
Tag string - A column can be tagged with a custom tag. In this case, the user must indicate an auxiliary table that contains statistical information on the possible values of this column (below).
- inferred
Google
Protobuf Empty - If no semantic tag is indicated, we infer the statistical model from the distribution of values in the input data
- info
Type GooglePrivacy Dlp V2Info Type - A column can be tagged with a InfoType to use the relevant public dataset as a statistical model of population, if available. We currently support US ZIP codes, region codes, ages and genders. To programmatically obtain the list of supported InfoTypes, use ListInfoTypes with the supported_by=RISK_ANALYSIS filter.
- field
Google
Privacy Dlp V2Field Id - Identifies the column.
- custom_
tag str - A column can be tagged with a custom tag. In this case, the user must indicate an auxiliary table that contains statistical information on the possible values of this column (below).
- inferred
Google
Protobuf Empty - If no semantic tag is indicated, we infer the statistical model from the distribution of values in the input data
- info_
type GooglePrivacy Dlp V2Info Type - A column can be tagged with a InfoType to use the relevant public dataset as a statistical model of population, if available. We currently support US ZIP codes, region codes, ages and genders. To programmatically obtain the list of supported InfoTypes, use ListInfoTypes with the supported_by=RISK_ANALYSIS filter.
- field Property Map
- Identifies the column.
- custom
Tag String - A column can be tagged with a custom tag. In this case, the user must indicate an auxiliary table that contains statistical information on the possible values of this column (below).
- inferred Property Map
- If no semantic tag is indicated, we infer the statistical model from the distribution of values in the input data
- info
Type Property Map - A column can be tagged with a InfoType to use the relevant public dataset as a statistical model of population, if available. We currently support US ZIP codes, region codes, ages and genders. To programmatically obtain the list of supported InfoTypes, use ListInfoTypes with the supported_by=RISK_ANALYSIS filter.
GooglePrivacyDlpV2TaggedFieldResponse, GooglePrivacyDlpV2TaggedFieldResponseArgs
- Custom
Tag string - A column can be tagged with a custom tag. In this case, the user must indicate an auxiliary table that contains statistical information on the possible values of this column (below).
- Field
Pulumi.
Google Native. DLP. V2. Inputs. Google Privacy Dlp V2Field Id Response - Identifies the column.
- Inferred
Pulumi.
Google Native. DLP. V2. Inputs. Google Protobuf Empty Response - If no semantic tag is indicated, we infer the statistical model from the distribution of values in the input data
- Info
Type Pulumi.Google Native. DLP. V2. Inputs. Google Privacy Dlp V2Info Type Response - A column can be tagged with a InfoType to use the relevant public dataset as a statistical model of population, if available. We currently support US ZIP codes, region codes, ages and genders. To programmatically obtain the list of supported InfoTypes, use ListInfoTypes with the supported_by=RISK_ANALYSIS filter.
- Custom
Tag string - A column can be tagged with a custom tag. In this case, the user must indicate an auxiliary table that contains statistical information on the possible values of this column (below).
- Field
Google
Privacy Dlp V2Field Id Response - Identifies the column.
- Inferred
Google
Protobuf Empty Response - If no semantic tag is indicated, we infer the statistical model from the distribution of values in the input data
- Info
Type GooglePrivacy Dlp V2Info Type Response - A column can be tagged with a InfoType to use the relevant public dataset as a statistical model of population, if available. We currently support US ZIP codes, region codes, ages and genders. To programmatically obtain the list of supported InfoTypes, use ListInfoTypes with the supported_by=RISK_ANALYSIS filter.
- custom
Tag String - A column can be tagged with a custom tag. In this case, the user must indicate an auxiliary table that contains statistical information on the possible values of this column (below).
- field
Google
Privacy Dlp V2Field Id Response - Identifies the column.
- inferred
Google
Protobuf Empty Response - If no semantic tag is indicated, we infer the statistical model from the distribution of values in the input data
- info
Type GooglePrivacy Dlp V2Info Type Response - A column can be tagged with a InfoType to use the relevant public dataset as a statistical model of population, if available. We currently support US ZIP codes, region codes, ages and genders. To programmatically obtain the list of supported InfoTypes, use ListInfoTypes with the supported_by=RISK_ANALYSIS filter.
- custom
Tag string - A column can be tagged with a custom tag. In this case, the user must indicate an auxiliary table that contains statistical information on the possible values of this column (below).
- field
Google
Privacy Dlp V2Field Id Response - Identifies the column.
- inferred
Google
Protobuf Empty Response - If no semantic tag is indicated, we infer the statistical model from the distribution of values in the input data
- info
Type GooglePrivacy Dlp V2Info Type Response - A column can be tagged with a InfoType to use the relevant public dataset as a statistical model of population, if available. We currently support US ZIP codes, region codes, ages and genders. To programmatically obtain the list of supported InfoTypes, use ListInfoTypes with the supported_by=RISK_ANALYSIS filter.
- custom_
tag str - A column can be tagged with a custom tag. In this case, the user must indicate an auxiliary table that contains statistical information on the possible values of this column (below).
- field
Google
Privacy Dlp V2Field Id Response - Identifies the column.
- inferred
Google
Protobuf Empty Response - If no semantic tag is indicated, we infer the statistical model from the distribution of values in the input data
- info_
type GooglePrivacy Dlp V2Info Type Response - A column can be tagged with a InfoType to use the relevant public dataset as a statistical model of population, if available. We currently support US ZIP codes, region codes, ages and genders. To programmatically obtain the list of supported InfoTypes, use ListInfoTypes with the supported_by=RISK_ANALYSIS filter.
- custom
Tag String - A column can be tagged with a custom tag. In this case, the user must indicate an auxiliary table that contains statistical information on the possible values of this column (below).
- field Property Map
- Identifies the column.
- inferred Property Map
- If no semantic tag is indicated, we infer the statistical model from the distribution of values in the input data
- info
Type Property Map - A column can be tagged with a InfoType to use the relevant public dataset as a statistical model of population, if available. We currently support US ZIP codes, region codes, ages and genders. To programmatically obtain the list of supported InfoTypes, use ListInfoTypes with the supported_by=RISK_ANALYSIS filter.
GooglePrivacyDlpV2TimePartConfigResponse, GooglePrivacyDlpV2TimePartConfigResponseArgs
- Part
To stringExtract - The part of the time to keep.
- Part
To stringExtract - The part of the time to keep.
- part
To StringExtract - The part of the time to keep.
- part
To stringExtract - The part of the time to keep.
- part_
to_ strextract - The part of the time to keep.
- part
To StringExtract - The part of the time to keep.
GooglePrivacyDlpV2TimespanConfig, GooglePrivacyDlpV2TimespanConfigArgs
- Enable
Auto boolPopulation Of Timespan Config - When the job is started by a JobTrigger we will automatically figure out a valid start_time to avoid scanning files that have not been modified since the last time the JobTrigger executed. This will be based on the time of the execution of the last run of the JobTrigger or the timespan end_time used in the last run of the JobTrigger.
- End
Time string - Exclude files, tables, or rows newer than this value. If not set, no upper time limit is applied.
- Start
Time string - Exclude files, tables, or rows older than this value. If not set, no lower time limit is applied.
- Timestamp
Field Pulumi.Google Native. DLP. V2. Inputs. Google Privacy Dlp V2Field Id - Specification of the field containing the timestamp of scanned items. Used for data sources like Datastore and BigQuery. For BigQuery If this value is not specified and the table was modified between the given start and end times, the entire table will be scanned. If this value is specified, then rows are filtered based on the given start and end times. Rows with a
NULLvalue in the provided BigQuery column are skipped. Valid data types of the provided BigQuery column are:INTEGER,DATE,TIMESTAMP, andDATETIME. If your BigQuery table is partitioned at ingestion time, you can use any of the following pseudo-columns as your timestamp field. When used with Cloud DLP, these pseudo-column names are case sensitive. - _PARTITIONTIME - _PARTITIONDATE - _PARTITION_LOAD_TIME For Datastore If this value is specified, then entities are filtered based on the given start and end times. If an entity does not contain the provided timestamp property or contains empty or invalid values, then it is included. Valid data types of the provided timestamp property are:TIMESTAMP. See the known issue related to this operation.
- Enable
Auto boolPopulation Of Timespan Config - When the job is started by a JobTrigger we will automatically figure out a valid start_time to avoid scanning files that have not been modified since the last time the JobTrigger executed. This will be based on the time of the execution of the last run of the JobTrigger or the timespan end_time used in the last run of the JobTrigger.
- End
Time string - Exclude files, tables, or rows newer than this value. If not set, no upper time limit is applied.
- Start
Time string - Exclude files, tables, or rows older than this value. If not set, no lower time limit is applied.
- Timestamp
Field GooglePrivacy Dlp V2Field Id - Specification of the field containing the timestamp of scanned items. Used for data sources like Datastore and BigQuery. For BigQuery If this value is not specified and the table was modified between the given start and end times, the entire table will be scanned. If this value is specified, then rows are filtered based on the given start and end times. Rows with a
NULLvalue in the provided BigQuery column are skipped. Valid data types of the provided BigQuery column are:INTEGER,DATE,TIMESTAMP, andDATETIME. If your BigQuery table is partitioned at ingestion time, you can use any of the following pseudo-columns as your timestamp field. When used with Cloud DLP, these pseudo-column names are case sensitive. - _PARTITIONTIME - _PARTITIONDATE - _PARTITION_LOAD_TIME For Datastore If this value is specified, then entities are filtered based on the given start and end times. If an entity does not contain the provided timestamp property or contains empty or invalid values, then it is included. Valid data types of the provided timestamp property are:TIMESTAMP. See the known issue related to this operation.
- enable
Auto BooleanPopulation Of Timespan Config - When the job is started by a JobTrigger we will automatically figure out a valid start_time to avoid scanning files that have not been modified since the last time the JobTrigger executed. This will be based on the time of the execution of the last run of the JobTrigger or the timespan end_time used in the last run of the JobTrigger.
- end
Time String - Exclude files, tables, or rows newer than this value. If not set, no upper time limit is applied.
- start
Time String - Exclude files, tables, or rows older than this value. If not set, no lower time limit is applied.
- timestamp
Field GooglePrivacy Dlp V2Field Id - Specification of the field containing the timestamp of scanned items. Used for data sources like Datastore and BigQuery. For BigQuery If this value is not specified and the table was modified between the given start and end times, the entire table will be scanned. If this value is specified, then rows are filtered based on the given start and end times. Rows with a
NULLvalue in the provided BigQuery column are skipped. Valid data types of the provided BigQuery column are:INTEGER,DATE,TIMESTAMP, andDATETIME. If your BigQuery table is partitioned at ingestion time, you can use any of the following pseudo-columns as your timestamp field. When used with Cloud DLP, these pseudo-column names are case sensitive. - _PARTITIONTIME - _PARTITIONDATE - _PARTITION_LOAD_TIME For Datastore If this value is specified, then entities are filtered based on the given start and end times. If an entity does not contain the provided timestamp property or contains empty or invalid values, then it is included. Valid data types of the provided timestamp property are:TIMESTAMP. See the known issue related to this operation.
- enable
Auto booleanPopulation Of Timespan Config - When the job is started by a JobTrigger we will automatically figure out a valid start_time to avoid scanning files that have not been modified since the last time the JobTrigger executed. This will be based on the time of the execution of the last run of the JobTrigger or the timespan end_time used in the last run of the JobTrigger.
- end
Time string - Exclude files, tables, or rows newer than this value. If not set, no upper time limit is applied.
- start
Time string - Exclude files, tables, or rows older than this value. If not set, no lower time limit is applied.
- timestamp
Field GooglePrivacy Dlp V2Field Id - Specification of the field containing the timestamp of scanned items. Used for data sources like Datastore and BigQuery. For BigQuery If this value is not specified and the table was modified between the given start and end times, the entire table will be scanned. If this value is specified, then rows are filtered based on the given start and end times. Rows with a
NULLvalue in the provided BigQuery column are skipped. Valid data types of the provided BigQuery column are:INTEGER,DATE,TIMESTAMP, andDATETIME. If your BigQuery table is partitioned at ingestion time, you can use any of the following pseudo-columns as your timestamp field. When used with Cloud DLP, these pseudo-column names are case sensitive. - _PARTITIONTIME - _PARTITIONDATE - _PARTITION_LOAD_TIME For Datastore If this value is specified, then entities are filtered based on the given start and end times. If an entity does not contain the provided timestamp property or contains empty or invalid values, then it is included. Valid data types of the provided timestamp property are:TIMESTAMP. See the known issue related to this operation.
- enable_
auto_ boolpopulation_ of_ timespan_ config - When the job is started by a JobTrigger we will automatically figure out a valid start_time to avoid scanning files that have not been modified since the last time the JobTrigger executed. This will be based on the time of the execution of the last run of the JobTrigger or the timespan end_time used in the last run of the JobTrigger.
- end_
time str - Exclude files, tables, or rows newer than this value. If not set, no upper time limit is applied.
- start_
time str - Exclude files, tables, or rows older than this value. If not set, no lower time limit is applied.
- timestamp_
field GooglePrivacy Dlp V2Field Id - Specification of the field containing the timestamp of scanned items. Used for data sources like Datastore and BigQuery. For BigQuery If this value is not specified and the table was modified between the given start and end times, the entire table will be scanned. If this value is specified, then rows are filtered based on the given start and end times. Rows with a
NULLvalue in the provided BigQuery column are skipped. Valid data types of the provided BigQuery column are:INTEGER,DATE,TIMESTAMP, andDATETIME. If your BigQuery table is partitioned at ingestion time, you can use any of the following pseudo-columns as your timestamp field. When used with Cloud DLP, these pseudo-column names are case sensitive. - _PARTITIONTIME - _PARTITIONDATE - _PARTITION_LOAD_TIME For Datastore If this value is specified, then entities are filtered based on the given start and end times. If an entity does not contain the provided timestamp property or contains empty or invalid values, then it is included. Valid data types of the provided timestamp property are:TIMESTAMP. See the known issue related to this operation.
- enable
Auto BooleanPopulation Of Timespan Config - When the job is started by a JobTrigger we will automatically figure out a valid start_time to avoid scanning files that have not been modified since the last time the JobTrigger executed. This will be based on the time of the execution of the last run of the JobTrigger or the timespan end_time used in the last run of the JobTrigger.
- end
Time String - Exclude files, tables, or rows newer than this value. If not set, no upper time limit is applied.
- start
Time String - Exclude files, tables, or rows older than this value. If not set, no lower time limit is applied.
- timestamp
Field Property Map - Specification of the field containing the timestamp of scanned items. Used for data sources like Datastore and BigQuery. For BigQuery If this value is not specified and the table was modified between the given start and end times, the entire table will be scanned. If this value is specified, then rows are filtered based on the given start and end times. Rows with a
NULLvalue in the provided BigQuery column are skipped. Valid data types of the provided BigQuery column are:INTEGER,DATE,TIMESTAMP, andDATETIME. If your BigQuery table is partitioned at ingestion time, you can use any of the following pseudo-columns as your timestamp field. When used with Cloud DLP, these pseudo-column names are case sensitive. - _PARTITIONTIME - _PARTITIONDATE - _PARTITION_LOAD_TIME For Datastore If this value is specified, then entities are filtered based on the given start and end times. If an entity does not contain the provided timestamp property or contains empty or invalid values, then it is included. Valid data types of the provided timestamp property are:TIMESTAMP. See the known issue related to this operation.
GooglePrivacyDlpV2TimespanConfigResponse, GooglePrivacyDlpV2TimespanConfigResponseArgs
- Enable
Auto boolPopulation Of Timespan Config - When the job is started by a JobTrigger we will automatically figure out a valid start_time to avoid scanning files that have not been modified since the last time the JobTrigger executed. This will be based on the time of the execution of the last run of the JobTrigger or the timespan end_time used in the last run of the JobTrigger.
- End
Time string - Exclude files, tables, or rows newer than this value. If not set, no upper time limit is applied.
- Start
Time string - Exclude files, tables, or rows older than this value. If not set, no lower time limit is applied.
- Timestamp
Field Pulumi.Google Native. DLP. V2. Inputs. Google Privacy Dlp V2Field Id Response - Specification of the field containing the timestamp of scanned items. Used for data sources like Datastore and BigQuery. For BigQuery If this value is not specified and the table was modified between the given start and end times, the entire table will be scanned. If this value is specified, then rows are filtered based on the given start and end times. Rows with a
NULLvalue in the provided BigQuery column are skipped. Valid data types of the provided BigQuery column are:INTEGER,DATE,TIMESTAMP, andDATETIME. If your BigQuery table is partitioned at ingestion time, you can use any of the following pseudo-columns as your timestamp field. When used with Cloud DLP, these pseudo-column names are case sensitive. - _PARTITIONTIME - _PARTITIONDATE - _PARTITION_LOAD_TIME For Datastore If this value is specified, then entities are filtered based on the given start and end times. If an entity does not contain the provided timestamp property or contains empty or invalid values, then it is included. Valid data types of the provided timestamp property are:TIMESTAMP. See the known issue related to this operation.
- Enable
Auto boolPopulation Of Timespan Config - When the job is started by a JobTrigger we will automatically figure out a valid start_time to avoid scanning files that have not been modified since the last time the JobTrigger executed. This will be based on the time of the execution of the last run of the JobTrigger or the timespan end_time used in the last run of the JobTrigger.
- End
Time string - Exclude files, tables, or rows newer than this value. If not set, no upper time limit is applied.
- Start
Time string - Exclude files, tables, or rows older than this value. If not set, no lower time limit is applied.
- Timestamp
Field GooglePrivacy Dlp V2Field Id Response - Specification of the field containing the timestamp of scanned items. Used for data sources like Datastore and BigQuery. For BigQuery If this value is not specified and the table was modified between the given start and end times, the entire table will be scanned. If this value is specified, then rows are filtered based on the given start and end times. Rows with a
NULLvalue in the provided BigQuery column are skipped. Valid data types of the provided BigQuery column are:INTEGER,DATE,TIMESTAMP, andDATETIME. If your BigQuery table is partitioned at ingestion time, you can use any of the following pseudo-columns as your timestamp field. When used with Cloud DLP, these pseudo-column names are case sensitive. - _PARTITIONTIME - _PARTITIONDATE - _PARTITION_LOAD_TIME For Datastore If this value is specified, then entities are filtered based on the given start and end times. If an entity does not contain the provided timestamp property or contains empty or invalid values, then it is included. Valid data types of the provided timestamp property are:TIMESTAMP. See the known issue related to this operation.
- enable
Auto BooleanPopulation Of Timespan Config - When the job is started by a JobTrigger we will automatically figure out a valid start_time to avoid scanning files that have not been modified since the last time the JobTrigger executed. This will be based on the time of the execution of the last run of the JobTrigger or the timespan end_time used in the last run of the JobTrigger.
- end
Time String - Exclude files, tables, or rows newer than this value. If not set, no upper time limit is applied.
- start
Time String - Exclude files, tables, or rows older than this value. If not set, no lower time limit is applied.
- timestamp
Field GooglePrivacy Dlp V2Field Id Response - Specification of the field containing the timestamp of scanned items. Used for data sources like Datastore and BigQuery. For BigQuery If this value is not specified and the table was modified between the given start and end times, the entire table will be scanned. If this value is specified, then rows are filtered based on the given start and end times. Rows with a
NULLvalue in the provided BigQuery column are skipped. Valid data types of the provided BigQuery column are:INTEGER,DATE,TIMESTAMP, andDATETIME. If your BigQuery table is partitioned at ingestion time, you can use any of the following pseudo-columns as your timestamp field. When used with Cloud DLP, these pseudo-column names are case sensitive. - _PARTITIONTIME - _PARTITIONDATE - _PARTITION_LOAD_TIME For Datastore If this value is specified, then entities are filtered based on the given start and end times. If an entity does not contain the provided timestamp property or contains empty or invalid values, then it is included. Valid data types of the provided timestamp property are:TIMESTAMP. See the known issue related to this operation.
- enable
Auto booleanPopulation Of Timespan Config - When the job is started by a JobTrigger we will automatically figure out a valid start_time to avoid scanning files that have not been modified since the last time the JobTrigger executed. This will be based on the time of the execution of the last run of the JobTrigger or the timespan end_time used in the last run of the JobTrigger.
- end
Time string - Exclude files, tables, or rows newer than this value. If not set, no upper time limit is applied.
- start
Time string - Exclude files, tables, or rows older than this value. If not set, no lower time limit is applied.
- timestamp
Field GooglePrivacy Dlp V2Field Id Response - Specification of the field containing the timestamp of scanned items. Used for data sources like Datastore and BigQuery. For BigQuery If this value is not specified and the table was modified between the given start and end times, the entire table will be scanned. If this value is specified, then rows are filtered based on the given start and end times. Rows with a
NULLvalue in the provided BigQuery column are skipped. Valid data types of the provided BigQuery column are:INTEGER,DATE,TIMESTAMP, andDATETIME. If your BigQuery table is partitioned at ingestion time, you can use any of the following pseudo-columns as your timestamp field. When used with Cloud DLP, these pseudo-column names are case sensitive. - _PARTITIONTIME - _PARTITIONDATE - _PARTITION_LOAD_TIME For Datastore If this value is specified, then entities are filtered based on the given start and end times. If an entity does not contain the provided timestamp property or contains empty or invalid values, then it is included. Valid data types of the provided timestamp property are:TIMESTAMP. See the known issue related to this operation.
- enable_
auto_ boolpopulation_ of_ timespan_ config - When the job is started by a JobTrigger we will automatically figure out a valid start_time to avoid scanning files that have not been modified since the last time the JobTrigger executed. This will be based on the time of the execution of the last run of the JobTrigger or the timespan end_time used in the last run of the JobTrigger.
- end_
time str - Exclude files, tables, or rows newer than this value. If not set, no upper time limit is applied.
- start_
time str - Exclude files, tables, or rows older than this value. If not set, no lower time limit is applied.
- timestamp_
field GooglePrivacy Dlp V2Field Id Response - Specification of the field containing the timestamp of scanned items. Used for data sources like Datastore and BigQuery. For BigQuery If this value is not specified and the table was modified between the given start and end times, the entire table will be scanned. If this value is specified, then rows are filtered based on the given start and end times. Rows with a
NULLvalue in the provided BigQuery column are skipped. Valid data types of the provided BigQuery column are:INTEGER,DATE,TIMESTAMP, andDATETIME. If your BigQuery table is partitioned at ingestion time, you can use any of the following pseudo-columns as your timestamp field. When used with Cloud DLP, these pseudo-column names are case sensitive. - _PARTITIONTIME - _PARTITIONDATE - _PARTITION_LOAD_TIME For Datastore If this value is specified, then entities are filtered based on the given start and end times. If an entity does not contain the provided timestamp property or contains empty or invalid values, then it is included. Valid data types of the provided timestamp property are:TIMESTAMP. See the known issue related to this operation.
- enable
Auto BooleanPopulation Of Timespan Config - When the job is started by a JobTrigger we will automatically figure out a valid start_time to avoid scanning files that have not been modified since the last time the JobTrigger executed. This will be based on the time of the execution of the last run of the JobTrigger or the timespan end_time used in the last run of the JobTrigger.
- end
Time String - Exclude files, tables, or rows newer than this value. If not set, no upper time limit is applied.
- start
Time String - Exclude files, tables, or rows older than this value. If not set, no lower time limit is applied.
- timestamp
Field Property Map - Specification of the field containing the timestamp of scanned items. Used for data sources like Datastore and BigQuery. For BigQuery If this value is not specified and the table was modified between the given start and end times, the entire table will be scanned. If this value is specified, then rows are filtered based on the given start and end times. Rows with a
NULLvalue in the provided BigQuery column are skipped. Valid data types of the provided BigQuery column are:INTEGER,DATE,TIMESTAMP, andDATETIME. If your BigQuery table is partitioned at ingestion time, you can use any of the following pseudo-columns as your timestamp field. When used with Cloud DLP, these pseudo-column names are case sensitive. - _PARTITIONTIME - _PARTITIONDATE - _PARTITION_LOAD_TIME For Datastore If this value is specified, then entities are filtered based on the given start and end times. If an entity does not contain the provided timestamp property or contains empty or invalid values, then it is included. Valid data types of the provided timestamp property are:TIMESTAMP. See the known issue related to this operation.
GooglePrivacyDlpV2TransformationConfig, GooglePrivacyDlpV2TransformationConfigArgs
- Deidentify
Template string - De-identify template. If this template is specified, it will serve as the default de-identify template. This template cannot contain
record_transformationssince it can be used for unstructured content such as free-form text files. If this template is not set, a defaultReplaceWithInfoTypeConfigwill be used to de-identify unstructured content. - Image
Redact stringTemplate - Image redact template. If this template is specified, it will serve as the de-identify template for images. If this template is not set, all findings in the image will be redacted with a black box.
- Structured
Deidentify stringTemplate - Structured de-identify template. If this template is specified, it will serve as the de-identify template for structured content such as delimited files and tables. If this template is not set but the
deidentify_templateis set, thendeidentify_templatewill also apply to the structured content. If neither template is set, a defaultReplaceWithInfoTypeConfigwill be used to de-identify structured content.
- Deidentify
Template string - De-identify template. If this template is specified, it will serve as the default de-identify template. This template cannot contain
record_transformationssince it can be used for unstructured content such as free-form text files. If this template is not set, a defaultReplaceWithInfoTypeConfigwill be used to de-identify unstructured content. - Image
Redact stringTemplate - Image redact template. If this template is specified, it will serve as the de-identify template for images. If this template is not set, all findings in the image will be redacted with a black box.
- Structured
Deidentify stringTemplate - Structured de-identify template. If this template is specified, it will serve as the de-identify template for structured content such as delimited files and tables. If this template is not set but the
deidentify_templateis set, thendeidentify_templatewill also apply to the structured content. If neither template is set, a defaultReplaceWithInfoTypeConfigwill be used to de-identify structured content.
- deidentify
Template String - De-identify template. If this template is specified, it will serve as the default de-identify template. This template cannot contain
record_transformationssince it can be used for unstructured content such as free-form text files. If this template is not set, a defaultReplaceWithInfoTypeConfigwill be used to de-identify unstructured content. - image
Redact StringTemplate - Image redact template. If this template is specified, it will serve as the de-identify template for images. If this template is not set, all findings in the image will be redacted with a black box.
- structured
Deidentify StringTemplate - Structured de-identify template. If this template is specified, it will serve as the de-identify template for structured content such as delimited files and tables. If this template is not set but the
deidentify_templateis set, thendeidentify_templatewill also apply to the structured content. If neither template is set, a defaultReplaceWithInfoTypeConfigwill be used to de-identify structured content.
- deidentify
Template string - De-identify template. If this template is specified, it will serve as the default de-identify template. This template cannot contain
record_transformationssince it can be used for unstructured content such as free-form text files. If this template is not set, a defaultReplaceWithInfoTypeConfigwill be used to de-identify unstructured content. - image
Redact stringTemplate - Image redact template. If this template is specified, it will serve as the de-identify template for images. If this template is not set, all findings in the image will be redacted with a black box.
- structured
Deidentify stringTemplate - Structured de-identify template. If this template is specified, it will serve as the de-identify template for structured content such as delimited files and tables. If this template is not set but the
deidentify_templateis set, thendeidentify_templatewill also apply to the structured content. If neither template is set, a defaultReplaceWithInfoTypeConfigwill be used to de-identify structured content.
- deidentify_
template str - De-identify template. If this template is specified, it will serve as the default de-identify template. This template cannot contain
record_transformationssince it can be used for unstructured content such as free-form text files. If this template is not set, a defaultReplaceWithInfoTypeConfigwill be used to de-identify unstructured content. - image_
redact_ strtemplate - Image redact template. If this template is specified, it will serve as the de-identify template for images. If this template is not set, all findings in the image will be redacted with a black box.
- structured_
deidentify_ strtemplate - Structured de-identify template. If this template is specified, it will serve as the de-identify template for structured content such as delimited files and tables. If this template is not set but the
deidentify_templateis set, thendeidentify_templatewill also apply to the structured content. If neither template is set, a defaultReplaceWithInfoTypeConfigwill be used to de-identify structured content.
- deidentify
Template String - De-identify template. If this template is specified, it will serve as the default de-identify template. This template cannot contain
record_transformationssince it can be used for unstructured content such as free-form text files. If this template is not set, a defaultReplaceWithInfoTypeConfigwill be used to de-identify unstructured content. - image
Redact StringTemplate - Image redact template. If this template is specified, it will serve as the de-identify template for images. If this template is not set, all findings in the image will be redacted with a black box.
- structured
Deidentify StringTemplate - Structured de-identify template. If this template is specified, it will serve as the de-identify template for structured content such as delimited files and tables. If this template is not set but the
deidentify_templateis set, thendeidentify_templatewill also apply to the structured content. If neither template is set, a defaultReplaceWithInfoTypeConfigwill be used to de-identify structured content.
GooglePrivacyDlpV2TransformationConfigResponse, GooglePrivacyDlpV2TransformationConfigResponseArgs
- Deidentify
Template string - De-identify template. If this template is specified, it will serve as the default de-identify template. This template cannot contain
record_transformationssince it can be used for unstructured content such as free-form text files. If this template is not set, a defaultReplaceWithInfoTypeConfigwill be used to de-identify unstructured content. - Image
Redact stringTemplate - Image redact template. If this template is specified, it will serve as the de-identify template for images. If this template is not set, all findings in the image will be redacted with a black box.
- Structured
Deidentify stringTemplate - Structured de-identify template. If this template is specified, it will serve as the de-identify template for structured content such as delimited files and tables. If this template is not set but the
deidentify_templateis set, thendeidentify_templatewill also apply to the structured content. If neither template is set, a defaultReplaceWithInfoTypeConfigwill be used to de-identify structured content.
- Deidentify
Template string - De-identify template. If this template is specified, it will serve as the default de-identify template. This template cannot contain
record_transformationssince it can be used for unstructured content such as free-form text files. If this template is not set, a defaultReplaceWithInfoTypeConfigwill be used to de-identify unstructured content. - Image
Redact stringTemplate - Image redact template. If this template is specified, it will serve as the de-identify template for images. If this template is not set, all findings in the image will be redacted with a black box.
- Structured
Deidentify stringTemplate - Structured de-identify template. If this template is specified, it will serve as the de-identify template for structured content such as delimited files and tables. If this template is not set but the
deidentify_templateis set, thendeidentify_templatewill also apply to the structured content. If neither template is set, a defaultReplaceWithInfoTypeConfigwill be used to de-identify structured content.
- deidentify
Template String - De-identify template. If this template is specified, it will serve as the default de-identify template. This template cannot contain
record_transformationssince it can be used for unstructured content such as free-form text files. If this template is not set, a defaultReplaceWithInfoTypeConfigwill be used to de-identify unstructured content. - image
Redact StringTemplate - Image redact template. If this template is specified, it will serve as the de-identify template for images. If this template is not set, all findings in the image will be redacted with a black box.
- structured
Deidentify StringTemplate - Structured de-identify template. If this template is specified, it will serve as the de-identify template for structured content such as delimited files and tables. If this template is not set but the
deidentify_templateis set, thendeidentify_templatewill also apply to the structured content. If neither template is set, a defaultReplaceWithInfoTypeConfigwill be used to de-identify structured content.
- deidentify
Template string - De-identify template. If this template is specified, it will serve as the default de-identify template. This template cannot contain
record_transformationssince it can be used for unstructured content such as free-form text files. If this template is not set, a defaultReplaceWithInfoTypeConfigwill be used to de-identify unstructured content. - image
Redact stringTemplate - Image redact template. If this template is specified, it will serve as the de-identify template for images. If this template is not set, all findings in the image will be redacted with a black box.
- structured
Deidentify stringTemplate - Structured de-identify template. If this template is specified, it will serve as the de-identify template for structured content such as delimited files and tables. If this template is not set but the
deidentify_templateis set, thendeidentify_templatewill also apply to the structured content. If neither template is set, a defaultReplaceWithInfoTypeConfigwill be used to de-identify structured content.
- deidentify_
template str - De-identify template. If this template is specified, it will serve as the default de-identify template. This template cannot contain
record_transformationssince it can be used for unstructured content such as free-form text files. If this template is not set, a defaultReplaceWithInfoTypeConfigwill be used to de-identify unstructured content. - image_
redact_ strtemplate - Image redact template. If this template is specified, it will serve as the de-identify template for images. If this template is not set, all findings in the image will be redacted with a black box.
- structured_
deidentify_ strtemplate - Structured de-identify template. If this template is specified, it will serve as the de-identify template for structured content such as delimited files and tables. If this template is not set but the
deidentify_templateis set, thendeidentify_templatewill also apply to the structured content. If neither template is set, a defaultReplaceWithInfoTypeConfigwill be used to de-identify structured content.
- deidentify
Template String - De-identify template. If this template is specified, it will serve as the default de-identify template. This template cannot contain
record_transformationssince it can be used for unstructured content such as free-form text files. If this template is not set, a defaultReplaceWithInfoTypeConfigwill be used to de-identify unstructured content. - image
Redact StringTemplate - Image redact template. If this template is specified, it will serve as the de-identify template for images. If this template is not set, all findings in the image will be redacted with a black box.
- structured
Deidentify StringTemplate - Structured de-identify template. If this template is specified, it will serve as the de-identify template for structured content such as delimited files and tables. If this template is not set but the
deidentify_templateis set, thendeidentify_templatewill also apply to the structured content. If neither template is set, a defaultReplaceWithInfoTypeConfigwill be used to de-identify structured content.
GooglePrivacyDlpV2TransformationDetailsStorageConfig, GooglePrivacyDlpV2TransformationDetailsStorageConfigArgs
- Table
Pulumi.
Google Native. DLP. V2. Inputs. Google Privacy Dlp V2Big Query Table - The BigQuery table in which to store the output. This may be an existing table or in a new table in an existing dataset. If table_id is not set a new one will be generated for you with the following format: dlp_googleapis_transformation_details_yyyy_mm_dd_[dlp_job_id]. Pacific time zone will be used for generating the date details.
- Table
Google
Privacy Dlp V2Big Query Table - The BigQuery table in which to store the output. This may be an existing table or in a new table in an existing dataset. If table_id is not set a new one will be generated for you with the following format: dlp_googleapis_transformation_details_yyyy_mm_dd_[dlp_job_id]. Pacific time zone will be used for generating the date details.
- table
Google
Privacy Dlp V2Big Query Table - The BigQuery table in which to store the output. This may be an existing table or in a new table in an existing dataset. If table_id is not set a new one will be generated for you with the following format: dlp_googleapis_transformation_details_yyyy_mm_dd_[dlp_job_id]. Pacific time zone will be used for generating the date details.
- table
Google
Privacy Dlp V2Big Query Table - The BigQuery table in which to store the output. This may be an existing table or in a new table in an existing dataset. If table_id is not set a new one will be generated for you with the following format: dlp_googleapis_transformation_details_yyyy_mm_dd_[dlp_job_id]. Pacific time zone will be used for generating the date details.
- table
Google
Privacy Dlp V2Big Query Table - The BigQuery table in which to store the output. This may be an existing table or in a new table in an existing dataset. If table_id is not set a new one will be generated for you with the following format: dlp_googleapis_transformation_details_yyyy_mm_dd_[dlp_job_id]. Pacific time zone will be used for generating the date details.
- table Property Map
- The BigQuery table in which to store the output. This may be an existing table or in a new table in an existing dataset. If table_id is not set a new one will be generated for you with the following format: dlp_googleapis_transformation_details_yyyy_mm_dd_[dlp_job_id]. Pacific time zone will be used for generating the date details.
GooglePrivacyDlpV2TransformationDetailsStorageConfigResponse, GooglePrivacyDlpV2TransformationDetailsStorageConfigResponseArgs
- Table
Pulumi.
Google Native. DLP. V2. Inputs. Google Privacy Dlp V2Big Query Table Response - The BigQuery table in which to store the output. This may be an existing table or in a new table in an existing dataset. If table_id is not set a new one will be generated for you with the following format: dlp_googleapis_transformation_details_yyyy_mm_dd_[dlp_job_id]. Pacific time zone will be used for generating the date details.
- Table
Google
Privacy Dlp V2Big Query Table Response - The BigQuery table in which to store the output. This may be an existing table or in a new table in an existing dataset. If table_id is not set a new one will be generated for you with the following format: dlp_googleapis_transformation_details_yyyy_mm_dd_[dlp_job_id]. Pacific time zone will be used for generating the date details.
- table
Google
Privacy Dlp V2Big Query Table Response - The BigQuery table in which to store the output. This may be an existing table or in a new table in an existing dataset. If table_id is not set a new one will be generated for you with the following format: dlp_googleapis_transformation_details_yyyy_mm_dd_[dlp_job_id]. Pacific time zone will be used for generating the date details.
- table
Google
Privacy Dlp V2Big Query Table Response - The BigQuery table in which to store the output. This may be an existing table or in a new table in an existing dataset. If table_id is not set a new one will be generated for you with the following format: dlp_googleapis_transformation_details_yyyy_mm_dd_[dlp_job_id]. Pacific time zone will be used for generating the date details.
- table
Google
Privacy Dlp V2Big Query Table Response - The BigQuery table in which to store the output. This may be an existing table or in a new table in an existing dataset. If table_id is not set a new one will be generated for you with the following format: dlp_googleapis_transformation_details_yyyy_mm_dd_[dlp_job_id]. Pacific time zone will be used for generating the date details.
- table Property Map
- The BigQuery table in which to store the output. This may be an existing table or in a new table in an existing dataset. If table_id is not set a new one will be generated for you with the following format: dlp_googleapis_transformation_details_yyyy_mm_dd_[dlp_job_id]. Pacific time zone will be used for generating the date details.
GooglePrivacyDlpV2TransformationErrorHandlingResponse, GooglePrivacyDlpV2TransformationErrorHandlingResponseArgs
- Leave
Untransformed GooglePrivacy Dlp V2Leave Untransformed Response - Ignore errors
- Throw
Error GooglePrivacy Dlp V2Throw Error Response - Throw an error
- leave
Untransformed GooglePrivacy Dlp V2Leave Untransformed Response - Ignore errors
- throw
Error GooglePrivacy Dlp V2Throw Error Response - Throw an error
- leave
Untransformed GooglePrivacy Dlp V2Leave Untransformed Response - Ignore errors
- throw
Error GooglePrivacy Dlp V2Throw Error Response - Throw an error
- leave_
untransformed GooglePrivacy Dlp V2Leave Untransformed Response - Ignore errors
- throw_
error GooglePrivacy Dlp V2Throw Error Response - Throw an error
- leave
Untransformed Property Map - Ignore errors
- throw
Error Property Map - Throw an error
GooglePrivacyDlpV2TransientCryptoKeyResponse, GooglePrivacyDlpV2TransientCryptoKeyResponseArgs
- Name string
- Name of the key. This is an arbitrary string used to differentiate different keys. A unique key is generated per name: two separate
TransientCryptoKeyprotos share the same generated key if their names are the same. When the data crypto key is generated, this name is not used in any way (repeating the api call will result in a different key being generated).
- Name string
- Name of the key. This is an arbitrary string used to differentiate different keys. A unique key is generated per name: two separate
TransientCryptoKeyprotos share the same generated key if their names are the same. When the data crypto key is generated, this name is not used in any way (repeating the api call will result in a different key being generated).
- name String
- Name of the key. This is an arbitrary string used to differentiate different keys. A unique key is generated per name: two separate
TransientCryptoKeyprotos share the same generated key if their names are the same. When the data crypto key is generated, this name is not used in any way (repeating the api call will result in a different key being generated).
- name string
- Name of the key. This is an arbitrary string used to differentiate different keys. A unique key is generated per name: two separate
TransientCryptoKeyprotos share the same generated key if their names are the same. When the data crypto key is generated, this name is not used in any way (repeating the api call will result in a different key being generated).
- name str
- Name of the key. This is an arbitrary string used to differentiate different keys. A unique key is generated per name: two separate
TransientCryptoKeyprotos share the same generated key if their names are the same. When the data crypto key is generated, this name is not used in any way (repeating the api call will result in a different key being generated).
- name String
- Name of the key. This is an arbitrary string used to differentiate different keys. A unique key is generated per name: two separate
TransientCryptoKeyprotos share the same generated key if their names are the same. When the data crypto key is generated, this name is not used in any way (repeating the api call will result in a different key being generated).
GooglePrivacyDlpV2UnwrappedCryptoKeyResponse, GooglePrivacyDlpV2UnwrappedCryptoKeyResponseArgs
- Key string
- A 128/192/256 bit key.
- Key string
- A 128/192/256 bit key.
- key String
- A 128/192/256 bit key.
- key string
- A 128/192/256 bit key.
- key str
- A 128/192/256 bit key.
- key String
- A 128/192/256 bit key.
GooglePrivacyDlpV2ValueFrequencyResponse, GooglePrivacyDlpV2ValueFrequencyResponseArgs
- Count string
- How many times the value is contained in the field.
- Value
Pulumi.
Google Native. DLP. V2. Inputs. Google Privacy Dlp V2Value Response - A value contained in the field in question.
- Count string
- How many times the value is contained in the field.
- Value
Google
Privacy Dlp V2Value Response - A value contained in the field in question.
- count String
- How many times the value is contained in the field.
- value
Google
Privacy Dlp V2Value Response - A value contained in the field in question.
- count string
- How many times the value is contained in the field.
- value
Google
Privacy Dlp V2Value Response - A value contained in the field in question.
- count str
- How many times the value is contained in the field.
- value
Google
Privacy Dlp V2Value Response - A value contained in the field in question.
- count String
- How many times the value is contained in the field.
- value Property Map
- A value contained in the field in question.
GooglePrivacyDlpV2ValueResponse, GooglePrivacyDlpV2ValueResponseArgs
- Boolean
Value bool - boolean
- Date
Value Pulumi.Google Native. DLP. V2. Inputs. Google Type Date Response - date
- Day
Of stringWeek Value - day of week
- Float
Value double - float
- Integer
Value string - integer
- String
Value string - string
- Time
Value Pulumi.Google Native. DLP. V2. Inputs. Google Type Time Of Day Response - time of day
- Timestamp
Value string - timestamp
- Boolean
Value bool - boolean
- Date
Value GoogleType Date Response - date
- Day
Of stringWeek Value - day of week
- Float
Value float64 - float
- Integer
Value string - integer
- String
Value string - string
- Time
Value GoogleType Time Of Day Response - time of day
- Timestamp
Value string - timestamp
- boolean
Value Boolean - boolean
- date
Value GoogleType Date Response - date
- day
Of StringWeek Value - day of week
- float
Value Double - float
- integer
Value String - integer
- string
Value String - string
- time
Value GoogleType Time Of Day Response - time of day
- timestamp
Value String - timestamp
- boolean
Value boolean - boolean
- date
Value GoogleType Date Response - date
- day
Of stringWeek Value - day of week
- float
Value number - float
- integer
Value string - integer
- string
Value string - string
- time
Value GoogleType Time Of Day Response - time of day
- timestamp
Value string - timestamp
- boolean_
value bool - boolean
- date_
value GoogleType Date Response - date
- day_
of_ strweek_ value - day of week
- float_
value float - float
- integer_
value str - integer
- string_
value str - string
- time_
value GoogleType Time Of Day Response - time of day
- timestamp_
value str - timestamp
- boolean
Value Boolean - boolean
- date
Value Property Map - date
- day
Of StringWeek Value - day of week
- float
Value Number - float
- integer
Value String - integer
- string
Value String - string
- time
Value Property Map - time of day
- timestamp
Value String - timestamp
GooglePrivacyDlpV2WordList, GooglePrivacyDlpV2WordListArgs
- Words List<string>
- Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required]
- Words []string
- Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required]
- words List<String>
- Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required]
- words string[]
- Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required]
- words Sequence[str]
- Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required]
- words List<String>
- Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required]
GooglePrivacyDlpV2WordListResponse, GooglePrivacyDlpV2WordListResponseArgs
- Words List<string>
- Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required]
- Words []string
- Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required]
- words List<String>
- Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required]
- words string[]
- Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required]
- words Sequence[str]
- Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required]
- words List<String>
- Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required]
GoogleRpcStatusResponse, GoogleRpcStatusResponseArgs
- Code int
- The status code, which should be an enum value of google.rpc.Code.
- Details
List<Immutable
Dictionary<string, string>> - A list of messages that carry the error details. There is a common set of message types for APIs to use.
- Message string
- A developer-facing error message, which should be in English. Any user-facing error message should be localized and sent in the google.rpc.Status.details field, or localized by the client.
- Code int
- The status code, which should be an enum value of google.rpc.Code.
- Details []map[string]string
- A list of messages that carry the error details. There is a common set of message types for APIs to use.
- Message string
- A developer-facing error message, which should be in English. Any user-facing error message should be localized and sent in the google.rpc.Status.details field, or localized by the client.
- code Integer
- The status code, which should be an enum value of google.rpc.Code.
- details List<Map<String,String>>
- A list of messages that carry the error details. There is a common set of message types for APIs to use.
- message String
- A developer-facing error message, which should be in English. Any user-facing error message should be localized and sent in the google.rpc.Status.details field, or localized by the client.
- code number
- The status code, which should be an enum value of google.rpc.Code.
- details {[key: string]: string}[]
- A list of messages that carry the error details. There is a common set of message types for APIs to use.
- message string
- A developer-facing error message, which should be in English. Any user-facing error message should be localized and sent in the google.rpc.Status.details field, or localized by the client.
- code int
- The status code, which should be an enum value of google.rpc.Code.
- details Sequence[Mapping[str, str]]
- A list of messages that carry the error details. There is a common set of message types for APIs to use.
- message str
- A developer-facing error message, which should be in English. Any user-facing error message should be localized and sent in the google.rpc.Status.details field, or localized by the client.
- code Number
- The status code, which should be an enum value of google.rpc.Code.
- details List<Map<String>>
- A list of messages that carry the error details. There is a common set of message types for APIs to use.
- message String
- A developer-facing error message, which should be in English. Any user-facing error message should be localized and sent in the google.rpc.Status.details field, or localized by the client.
GoogleTypeDateResponse, GoogleTypeDateResponseArgs
- Day int
- Day of a month. Must be from 1 to 31 and valid for the year and month, or 0 to specify a year by itself or a year and month where the day isn't significant.
- Month int
- Month of a year. Must be from 1 to 12, or 0 to specify a year without a month and day.
- Year int
- Year of the date. Must be from 1 to 9999, or 0 to specify a date without a year.
- Day int
- Day of a month. Must be from 1 to 31 and valid for the year and month, or 0 to specify a year by itself or a year and month where the day isn't significant.
- Month int
- Month of a year. Must be from 1 to 12, or 0 to specify a year without a month and day.
- Year int
- Year of the date. Must be from 1 to 9999, or 0 to specify a date without a year.
- day Integer
- Day of a month. Must be from 1 to 31 and valid for the year and month, or 0 to specify a year by itself or a year and month where the day isn't significant.
- month Integer
- Month of a year. Must be from 1 to 12, or 0 to specify a year without a month and day.
- year Integer
- Year of the date. Must be from 1 to 9999, or 0 to specify a date without a year.
- day number
- Day of a month. Must be from 1 to 31 and valid for the year and month, or 0 to specify a year by itself or a year and month where the day isn't significant.
- month number
- Month of a year. Must be from 1 to 12, or 0 to specify a year without a month and day.
- year number
- Year of the date. Must be from 1 to 9999, or 0 to specify a date without a year.
- day int
- Day of a month. Must be from 1 to 31 and valid for the year and month, or 0 to specify a year by itself or a year and month where the day isn't significant.
- month int
- Month of a year. Must be from 1 to 12, or 0 to specify a year without a month and day.
- year int
- Year of the date. Must be from 1 to 9999, or 0 to specify a date without a year.
- day Number
- Day of a month. Must be from 1 to 31 and valid for the year and month, or 0 to specify a year by itself or a year and month where the day isn't significant.
- month Number
- Month of a year. Must be from 1 to 12, or 0 to specify a year without a month and day.
- year Number
- Year of the date. Must be from 1 to 9999, or 0 to specify a date without a year.
GoogleTypeTimeOfDayResponse, GoogleTypeTimeOfDayResponseArgs
- Hours int
- Hours of day in 24 hour format. Should be from 0 to 23. An API may choose to allow the value "24:00:00" for scenarios like business closing time.
- Minutes int
- Minutes of hour of day. Must be from 0 to 59.
- Nanos int
- Fractions of seconds in nanoseconds. Must be from 0 to 999,999,999.
- Seconds int
- Seconds of minutes of the time. Must normally be from 0 to 59. An API may allow the value 60 if it allows leap-seconds.
- Hours int
- Hours of day in 24 hour format. Should be from 0 to 23. An API may choose to allow the value "24:00:00" for scenarios like business closing time.
- Minutes int
- Minutes of hour of day. Must be from 0 to 59.
- Nanos int
- Fractions of seconds in nanoseconds. Must be from 0 to 999,999,999.
- Seconds int
- Seconds of minutes of the time. Must normally be from 0 to 59. An API may allow the value 60 if it allows leap-seconds.
- hours Integer
- Hours of day in 24 hour format. Should be from 0 to 23. An API may choose to allow the value "24:00:00" for scenarios like business closing time.
- minutes Integer
- Minutes of hour of day. Must be from 0 to 59.
- nanos Integer
- Fractions of seconds in nanoseconds. Must be from 0 to 999,999,999.
- seconds Integer
- Seconds of minutes of the time. Must normally be from 0 to 59. An API may allow the value 60 if it allows leap-seconds.
- hours number
- Hours of day in 24 hour format. Should be from 0 to 23. An API may choose to allow the value "24:00:00" for scenarios like business closing time.
- minutes number
- Minutes of hour of day. Must be from 0 to 59.
- nanos number
- Fractions of seconds in nanoseconds. Must be from 0 to 999,999,999.
- seconds number
- Seconds of minutes of the time. Must normally be from 0 to 59. An API may allow the value 60 if it allows leap-seconds.
- hours int
- Hours of day in 24 hour format. Should be from 0 to 23. An API may choose to allow the value "24:00:00" for scenarios like business closing time.
- minutes int
- Minutes of hour of day. Must be from 0 to 59.
- nanos int
- Fractions of seconds in nanoseconds. Must be from 0 to 999,999,999.
- seconds int
- Seconds of minutes of the time. Must normally be from 0 to 59. An API may allow the value 60 if it allows leap-seconds.
- hours Number
- Hours of day in 24 hour format. Should be from 0 to 23. An API may choose to allow the value "24:00:00" for scenarios like business closing time.
- minutes Number
- Minutes of hour of day. Must be from 0 to 59.
- nanos Number
- Fractions of seconds in nanoseconds. Must be from 0 to 999,999,999.
- seconds Number
- Seconds of minutes of the time. Must normally be from 0 to 59. An API may allow the value 60 if it allows leap-seconds.
Package Details
- Repository
- Google Cloud Native pulumi/pulumi-google-native
- License
- Apache-2.0
Google Cloud Native is in preview. Google Cloud Classic is fully supported.
Google Cloud Native v0.32.0 published on Wednesday, Nov 29, 2023 by Pulumi