Google Native

Pulumi Official
Package maintained by Pulumi
v0.19.0 published on Thursday, May 19, 2022 by Pulumi

getDlpJob

Gets the latest state of a long-running DlpJob. See https://cloud.google.com/dlp/docs/inspecting-storage and https://cloud.google.com/dlp/docs/compute-risk-analysis to learn more.

Using getDlpJob

Two invocation forms are available. The direct form accepts plain arguments and either blocks until the result value is available, or returns a Promise-wrapped result. The output form accepts Input-wrapped arguments and returns an Output-wrapped result.

function getDlpJob(args: GetDlpJobArgs, opts?: InvokeOptions): Promise<GetDlpJobResult>
function getDlpJobOutput(args: GetDlpJobOutputArgs, opts?: InvokeOptions): Output<GetDlpJobResult>
def get_dlp_job(dlp_job_id: Optional[str] = None,
                location: Optional[str] = None,
                project: Optional[str] = None,
                opts: Optional[InvokeOptions] = None) -> GetDlpJobResult
def get_dlp_job_output(dlp_job_id: Optional[pulumi.Input[str]] = None,
                location: Optional[pulumi.Input[str]] = None,
                project: Optional[pulumi.Input[str]] = None,
                opts: Optional[InvokeOptions] = None) -> Output[GetDlpJobResult]
func LookupDlpJob(ctx *Context, args *LookupDlpJobArgs, opts ...InvokeOption) (*LookupDlpJobResult, error)
func LookupDlpJobOutput(ctx *Context, args *LookupDlpJobOutputArgs, opts ...InvokeOption) LookupDlpJobResultOutput

> Note: This function is named LookupDlpJob in the Go SDK.

public static class GetDlpJob 
{
    public static Task<GetDlpJobResult> InvokeAsync(GetDlpJobArgs args, InvokeOptions? opts = null)
    public static Output<GetDlpJobResult> Invoke(GetDlpJobInvokeArgs args, InvokeOptions? opts = null)
}
public static CompletableFuture<GetDlpJobResult> getDlpJob(GetDlpJobArgs args, InvokeOptions options)
// Output-based functions aren't available in Java yet
Fn::Invoke:
  Function: google-native:dlp/v2:getDlpJob
  Arguments:
    # Arguments dictionary

The following arguments are supported:

DlpJobId string
Location string
Project string
DlpJobId string
Location string
Project string
dlpJobId String
location String
project String
dlpJobId string
location string
project string
dlpJobId String
location String
project String

getDlpJob Result

The following output properties are available:

CreateTime string

Time when the job was created.

EndTime string

Time when the job finished.

Errors List<Pulumi.GoogleNative.DLP.V2.Outputs.GooglePrivacyDlpV2ErrorResponse>

A stream of errors encountered running the job.

InspectDetails Pulumi.GoogleNative.DLP.V2.Outputs.GooglePrivacyDlpV2InspectDataSourceDetailsResponse

Results from inspecting a data source.

JobTriggerName string

If created by a job trigger, the resource name of the trigger that instantiated the job.

Name string

The server-assigned name.

RiskDetails Pulumi.GoogleNative.DLP.V2.Outputs.GooglePrivacyDlpV2AnalyzeDataSourceRiskDetailsResponse

Results from analyzing risk of a data source.

StartTime string

Time when the job started.

State string

State of a job.

Type string

The type of job.

CreateTime string

Time when the job was created.

EndTime string

Time when the job finished.

Errors []GooglePrivacyDlpV2ErrorResponse

A stream of errors encountered running the job.

InspectDetails GooglePrivacyDlpV2InspectDataSourceDetailsResponse

Results from inspecting a data source.

JobTriggerName string

If created by a job trigger, the resource name of the trigger that instantiated the job.

Name string

The server-assigned name.

RiskDetails GooglePrivacyDlpV2AnalyzeDataSourceRiskDetailsResponse

Results from analyzing risk of a data source.

StartTime string

Time when the job started.

State string

State of a job.

Type string

The type of job.

createTime String

Time when the job was created.

endTime String

Time when the job finished.

errors ListPrivacyDlpV2ErrorResponse>

A stream of errors encountered running the job.

inspectDetails GooglePrivacyDlpV2InspectDataSourceDetailsResponse

Results from inspecting a data source.

jobTriggerName String

If created by a job trigger, the resource name of the trigger that instantiated the job.

name String

The server-assigned name.

riskDetails GooglePrivacyDlpV2AnalyzeDataSourceRiskDetailsResponse

Results from analyzing risk of a data source.

startTime String

Time when the job started.

state String

State of a job.

type String

The type of job.

createTime string

Time when the job was created.

endTime string

Time when the job finished.

errors GooglePrivacyDlpV2ErrorResponse[]

A stream of errors encountered running the job.

inspectDetails GooglePrivacyDlpV2InspectDataSourceDetailsResponse

Results from inspecting a data source.

jobTriggerName string

If created by a job trigger, the resource name of the trigger that instantiated the job.

name string

The server-assigned name.

riskDetails GooglePrivacyDlpV2AnalyzeDataSourceRiskDetailsResponse

Results from analyzing risk of a data source.

startTime string

Time when the job started.

state string

State of a job.

type string

The type of job.

create_time str

Time when the job was created.

end_time str

Time when the job finished.

errors Sequence[GooglePrivacyDlpV2ErrorResponse]

A stream of errors encountered running the job.

inspect_details GooglePrivacyDlpV2InspectDataSourceDetailsResponse

Results from inspecting a data source.

job_trigger_name str

If created by a job trigger, the resource name of the trigger that instantiated the job.

name str

The server-assigned name.

risk_details GooglePrivacyDlpV2AnalyzeDataSourceRiskDetailsResponse

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.

createTime String

Time when the job was created.

endTime String

Time when the job finished.

errors List

A stream of errors encountered running the job.

inspectDetails Property Map

Results from inspecting a data source.

jobTriggerName String

If created by a job trigger, the resource name of the trigger that instantiated the job.

name String

The server-assigned name.

riskDetails Property Map

Results from analyzing risk of a data source.

startTime String

Time when the job started.

state String

State of a job.

type String

The type of job.

Supporting Types

GooglePrivacyDlpV2ActionResponse

JobNotificationEmails Pulumi.GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2JobNotificationEmailsResponse

Enable email notification for project owners and editors on job's completion/failure.

PubSub Pulumi.GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2PublishToPubSubResponse

Publish a notification to a pubsub topic.

PublishFindingsToCloudDataCatalog Pulumi.GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2PublishFindingsToCloudDataCatalogResponse

Publish findings to Cloud Datahub.

PublishSummaryToCscc Pulumi.GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2PublishSummaryToCsccResponse

Publish summary to Cloud Security Command Center (Alpha).

PublishToStackdriver Pulumi.GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2PublishToStackdriverResponse

Enable Stackdriver metric dlp.googleapis.com/finding_count.

SaveFindings Pulumi.GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2SaveFindingsResponse

Save resulting findings in a provided location.

JobNotificationEmails GooglePrivacyDlpV2JobNotificationEmailsResponse

Enable email notification for project owners and editors on job's completion/failure.

PubSub GooglePrivacyDlpV2PublishToPubSubResponse

Publish a notification to a pubsub topic.

PublishFindingsToCloudDataCatalog GooglePrivacyDlpV2PublishFindingsToCloudDataCatalogResponse

Publish findings to Cloud Datahub.

PublishSummaryToCscc GooglePrivacyDlpV2PublishSummaryToCsccResponse

Publish summary to Cloud Security Command Center (Alpha).

PublishToStackdriver GooglePrivacyDlpV2PublishToStackdriverResponse

Enable Stackdriver metric dlp.googleapis.com/finding_count.

SaveFindings GooglePrivacyDlpV2SaveFindingsResponse

Save resulting findings in a provided location.

jobNotificationEmails GooglePrivacyDlpV2JobNotificationEmailsResponse

Enable email notification for project owners and editors on job's completion/failure.

pubSub GooglePrivacyDlpV2PublishToPubSubResponse

Publish a notification to a pubsub topic.

publishFindingsToCloudDataCatalog GooglePrivacyDlpV2PublishFindingsToCloudDataCatalogResponse

Publish findings to Cloud Datahub.

publishSummaryToCscc GooglePrivacyDlpV2PublishSummaryToCsccResponse

Publish summary to Cloud Security Command Center (Alpha).

publishToStackdriver GooglePrivacyDlpV2PublishToStackdriverResponse

Enable Stackdriver metric dlp.googleapis.com/finding_count.

saveFindings GooglePrivacyDlpV2SaveFindingsResponse

Save resulting findings in a provided location.

jobNotificationEmails GooglePrivacyDlpV2JobNotificationEmailsResponse

Enable email notification for project owners and editors on job's completion/failure.

pubSub GooglePrivacyDlpV2PublishToPubSubResponse

Publish a notification to a pubsub topic.

publishFindingsToCloudDataCatalog GooglePrivacyDlpV2PublishFindingsToCloudDataCatalogResponse

Publish findings to Cloud Datahub.

publishSummaryToCscc GooglePrivacyDlpV2PublishSummaryToCsccResponse

Publish summary to Cloud Security Command Center (Alpha).

publishToStackdriver GooglePrivacyDlpV2PublishToStackdriverResponse

Enable Stackdriver metric dlp.googleapis.com/finding_count.

saveFindings GooglePrivacyDlpV2SaveFindingsResponse

Save resulting findings in a provided location.

job_notification_emails GooglePrivacyDlpV2JobNotificationEmailsResponse

Enable email notification for project owners and editors on job's completion/failure.

pub_sub GooglePrivacyDlpV2PublishToPubSubResponse

Publish a notification to a pubsub topic.

publish_findings_to_cloud_data_catalog GooglePrivacyDlpV2PublishFindingsToCloudDataCatalogResponse

Publish findings to Cloud Datahub.

publish_summary_to_cscc GooglePrivacyDlpV2PublishSummaryToCsccResponse

Publish summary to Cloud Security Command Center (Alpha).

publish_to_stackdriver GooglePrivacyDlpV2PublishToStackdriverResponse

Enable Stackdriver metric dlp.googleapis.com/finding_count.

save_findings GooglePrivacyDlpV2SaveFindingsResponse

Save resulting findings in a provided location.

jobNotificationEmails Property Map

Enable email notification for project owners and editors on job's completion/failure.

pubSub Property Map

Publish a notification to a pubsub topic.

publishFindingsToCloudDataCatalog Property Map

Publish findings to Cloud Datahub.

publishSummaryToCscc Property Map

Publish summary to Cloud Security Command Center (Alpha).

publishToStackdriver Property Map

Enable Stackdriver metric dlp.googleapis.com/finding_count.

saveFindings Property Map

Save resulting findings in a provided location.

GooglePrivacyDlpV2AnalyzeDataSourceRiskDetailsResponse

CategoricalStatsResult Pulumi.GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2CategoricalStatsResultResponse

Categorical stats result

DeltaPresenceEstimationResult Pulumi.GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2DeltaPresenceEstimationResultResponse

Delta-presence result

KAnonymityResult Pulumi.GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2KAnonymityResultResponse

K-anonymity result

KMapEstimationResult Pulumi.GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2KMapEstimationResultResponse

K-map result

LDiversityResult Pulumi.GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2LDiversityResultResponse

L-divesity result

NumericalStatsResult Pulumi.GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2NumericalStatsResultResponse

Numerical stats result

RequestedOptions Pulumi.GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2RequestedRiskAnalysisOptionsResponse

The configuration used for this job.

RequestedPrivacyMetric Pulumi.GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2PrivacyMetricResponse

Privacy metric to compute.

RequestedSourceTable Pulumi.GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2BigQueryTableResponse

Input dataset to compute metrics over.

CategoricalStatsResult GooglePrivacyDlpV2CategoricalStatsResultResponse

Categorical stats result

DeltaPresenceEstimationResult GooglePrivacyDlpV2DeltaPresenceEstimationResultResponse

Delta-presence result

KAnonymityResult GooglePrivacyDlpV2KAnonymityResultResponse

K-anonymity result

KMapEstimationResult GooglePrivacyDlpV2KMapEstimationResultResponse

K-map result

LDiversityResult GooglePrivacyDlpV2LDiversityResultResponse

L-divesity result

NumericalStatsResult GooglePrivacyDlpV2NumericalStatsResultResponse

Numerical stats result

RequestedOptions GooglePrivacyDlpV2RequestedRiskAnalysisOptionsResponse

The configuration used for this job.

RequestedPrivacyMetric GooglePrivacyDlpV2PrivacyMetricResponse

Privacy metric to compute.

RequestedSourceTable GooglePrivacyDlpV2BigQueryTableResponse

Input dataset to compute metrics over.

categoricalStatsResult GooglePrivacyDlpV2CategoricalStatsResultResponse

Categorical stats result

deltaPresenceEstimationResult GooglePrivacyDlpV2DeltaPresenceEstimationResultResponse

Delta-presence result

kAnonymityResult GooglePrivacyDlpV2KAnonymityResultResponse

K-anonymity result

kMapEstimationResult GooglePrivacyDlpV2KMapEstimationResultResponse

K-map result

lDiversityResult GooglePrivacyDlpV2LDiversityResultResponse

L-divesity result

numericalStatsResult GooglePrivacyDlpV2NumericalStatsResultResponse

Numerical stats result

requestedOptions GooglePrivacyDlpV2RequestedRiskAnalysisOptionsResponse

The configuration used for this job.

requestedPrivacyMetric GooglePrivacyDlpV2PrivacyMetricResponse

Privacy metric to compute.

requestedSourceTable GooglePrivacyDlpV2BigQueryTableResponse

Input dataset to compute metrics over.

categoricalStatsResult GooglePrivacyDlpV2CategoricalStatsResultResponse

Categorical stats result

deltaPresenceEstimationResult GooglePrivacyDlpV2DeltaPresenceEstimationResultResponse

Delta-presence result

kAnonymityResult GooglePrivacyDlpV2KAnonymityResultResponse

K-anonymity result

kMapEstimationResult GooglePrivacyDlpV2KMapEstimationResultResponse

K-map result

lDiversityResult GooglePrivacyDlpV2LDiversityResultResponse

L-divesity result

numericalStatsResult GooglePrivacyDlpV2NumericalStatsResultResponse

Numerical stats result

requestedOptions GooglePrivacyDlpV2RequestedRiskAnalysisOptionsResponse

The configuration used for this job.

requestedPrivacyMetric GooglePrivacyDlpV2PrivacyMetricResponse

Privacy metric to compute.

requestedSourceTable GooglePrivacyDlpV2BigQueryTableResponse

Input dataset to compute metrics over.

categorical_stats_result GooglePrivacyDlpV2CategoricalStatsResultResponse

Categorical stats result

delta_presence_estimation_result GooglePrivacyDlpV2DeltaPresenceEstimationResultResponse

Delta-presence result

k_anonymity_result GooglePrivacyDlpV2KAnonymityResultResponse

K-anonymity result

k_map_estimation_result GooglePrivacyDlpV2KMapEstimationResultResponse

K-map result

l_diversity_result GooglePrivacyDlpV2LDiversityResultResponse

L-divesity result

numerical_stats_result GooglePrivacyDlpV2NumericalStatsResultResponse

Numerical stats result

requested_options GooglePrivacyDlpV2RequestedRiskAnalysisOptionsResponse

The configuration used for this job.

requested_privacy_metric GooglePrivacyDlpV2PrivacyMetricResponse

Privacy metric to compute.

requested_source_table GooglePrivacyDlpV2BigQueryTableResponse

Input dataset to compute metrics over.

categoricalStatsResult Property Map

Categorical stats result

deltaPresenceEstimationResult Property Map

Delta-presence result

kAnonymityResult Property Map

K-anonymity result

kMapEstimationResult Property Map

K-map result

lDiversityResult Property Map

L-divesity result

numericalStatsResult Property Map

Numerical stats result

requestedOptions Property Map

The configuration used for this job.

requestedPrivacyMetric Property Map

Privacy metric to compute.

requestedSourceTable Property Map

Input dataset to compute metrics over.

GooglePrivacyDlpV2AuxiliaryTableResponse

QuasiIds List<Pulumi.GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2QuasiIdFieldResponse>

Quasi-identifier columns.

RelativeFrequency Pulumi.GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2FieldIdResponse

The relative frequency column must contain a floating-point number between 0 and 1 (inclusive). Null values are assumed to be zero.

Table Pulumi.GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2BigQueryTableResponse

Auxiliary table location.

QuasiIds []GooglePrivacyDlpV2QuasiIdFieldResponse

Quasi-identifier columns.

RelativeFrequency GooglePrivacyDlpV2FieldIdResponse

The relative frequency column must contain a floating-point number between 0 and 1 (inclusive). Null values are assumed to be zero.

Table GooglePrivacyDlpV2BigQueryTableResponse

Auxiliary table location.

quasiIds ListPrivacyDlpV2QuasiIdFieldResponse>

Quasi-identifier columns.

relativeFrequency GooglePrivacyDlpV2FieldIdResponse

The relative frequency column must contain a floating-point number between 0 and 1 (inclusive). Null values are assumed to be zero.

table GooglePrivacyDlpV2BigQueryTableResponse

Auxiliary table location.

quasiIds GooglePrivacyDlpV2QuasiIdFieldResponse[]

Quasi-identifier columns.

relativeFrequency GooglePrivacyDlpV2FieldIdResponse

The relative frequency column must contain a floating-point number between 0 and 1 (inclusive). Null values are assumed to be zero.

table GooglePrivacyDlpV2BigQueryTableResponse

Auxiliary table location.

quasi_ids Sequence[GooglePrivacyDlpV2QuasiIdFieldResponse]

Quasi-identifier columns.

relative_frequency GooglePrivacyDlpV2FieldIdResponse

The relative frequency column must contain a floating-point number between 0 and 1 (inclusive). Null values are assumed to be zero.

table GooglePrivacyDlpV2BigQueryTableResponse

Auxiliary table location.

quasiIds List

Quasi-identifier columns.

relativeFrequency 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.

GooglePrivacyDlpV2BigQueryOptionsResponse

ExcludedFields List<Pulumi.GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2FieldIdResponse>

References to fields excluded from scanning. This allows you to skip inspection of entire columns which you know have no findings.

IdentifyingFields List<Pulumi.GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2FieldIdResponse>

Table fields that may uniquely identify a row within the table. When actions.saveFindings.outputConfig.table is specified, the values of columns specified here are available in the output table under location.content_locations.record_location.record_key.id_values. Nested fields such as person.birthdate.year are allowed.

IncludedFields List<Pulumi.GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2FieldIdResponse>

Limit scanning only to these fields.

RowsLimit 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.

RowsLimitPercent int

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.

SampleMethod string
TableReference Pulumi.GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2BigQueryTableResponse

Complete BigQuery table reference.

ExcludedFields []GooglePrivacyDlpV2FieldIdResponse

References to fields excluded from scanning. This allows you to skip inspection of entire columns which you know have no findings.

IdentifyingFields []GooglePrivacyDlpV2FieldIdResponse

Table fields that may uniquely identify a row within the table. When actions.saveFindings.outputConfig.table is specified, the values of columns specified here are available in the output table under location.content_locations.record_location.record_key.id_values. Nested fields such as person.birthdate.year are allowed.

IncludedFields []GooglePrivacyDlpV2FieldIdResponse

Limit scanning only to these fields.

RowsLimit 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.

RowsLimitPercent int

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.

SampleMethod string
TableReference GooglePrivacyDlpV2BigQueryTableResponse

Complete BigQuery table reference.

excludedFields ListPrivacyDlpV2FieldIdResponse>

References to fields excluded from scanning. This allows you to skip inspection of entire columns which you know have no findings.

identifyingFields ListPrivacyDlpV2FieldIdResponse>

Table fields that may uniquely identify a row within the table. When actions.saveFindings.outputConfig.table is specified, the values of columns specified here are available in the output table under location.content_locations.record_location.record_key.id_values. Nested fields such as person.birthdate.year are allowed.

includedFields ListPrivacyDlpV2FieldIdResponse>

Limit scanning only to these fields.

rowsLimit 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.

rowsLimitPercent Integer

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.

sampleMethod String
tableReference GooglePrivacyDlpV2BigQueryTableResponse

Complete BigQuery table reference.

excludedFields GooglePrivacyDlpV2FieldIdResponse[]

References to fields excluded from scanning. This allows you to skip inspection of entire columns which you know have no findings.

identifyingFields GooglePrivacyDlpV2FieldIdResponse[]

Table fields that may uniquely identify a row within the table. When actions.saveFindings.outputConfig.table is specified, the values of columns specified here are available in the output table under location.content_locations.record_location.record_key.id_values. Nested fields such as person.birthdate.year are allowed.

includedFields GooglePrivacyDlpV2FieldIdResponse[]

Limit scanning only to these fields.

rowsLimit 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.

rowsLimitPercent number

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.

sampleMethod string
tableReference GooglePrivacyDlpV2BigQueryTableResponse

Complete BigQuery table reference.

excluded_fields Sequence[GooglePrivacyDlpV2FieldIdResponse]

References to fields excluded from scanning. This allows you to skip inspection of entire columns which you know have no findings.

identifying_fields Sequence[GooglePrivacyDlpV2FieldIdResponse]

Table fields that may uniquely identify a row within the table. When actions.saveFindings.outputConfig.table is specified, the values of columns specified here are available in the output table under location.content_locations.record_location.record_key.id_values. Nested fields such as person.birthdate.year are allowed.

included_fields Sequence[GooglePrivacyDlpV2FieldIdResponse]

Limit scanning only to these fields.

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_percent int

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 GooglePrivacyDlpV2BigQueryTableResponse

Complete BigQuery table reference.

excludedFields List

References to fields excluded from scanning. This allows you to skip inspection of entire columns which you know have no findings.

identifyingFields List

Table fields that may uniquely identify a row within the table. When actions.saveFindings.outputConfig.table is specified, the values of columns specified here are available in the output table under location.content_locations.record_location.record_key.id_values. Nested fields such as person.birthdate.year are allowed.

includedFields List

Limit scanning only to these fields.

rowsLimit 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.

rowsLimitPercent Number

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.

sampleMethod String
tableReference Property Map

Complete BigQuery table reference.

GooglePrivacyDlpV2BigQueryTableResponse

DatasetId string

Dataset ID of the table.

Project string

The Google Cloud Platform project ID of the project containing the table. If omitted, project ID is inferred from the API call.

TableId string

Name of the table.

DatasetId string

Dataset ID of the table.

Project string

The Google Cloud Platform project ID of the project containing the table. If omitted, project ID is inferred from the API call.

TableId string

Name of the table.

datasetId String

Dataset ID of the table.

project String

The Google Cloud Platform project ID of the project containing the table. If omitted, project ID is inferred from the API call.

tableId String

Name of the table.

datasetId string

Dataset ID of the table.

project string

The Google Cloud Platform project ID of the project containing the table. If omitted, project ID is inferred from the API call.

tableId string

Name of the table.

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.

datasetId String

Dataset ID of the table.

project String

The Google Cloud Platform project ID of the project containing the table. If omitted, project ID is inferred from the API call.

tableId String

Name of the table.

GooglePrivacyDlpV2CategoricalStatsConfigResponse

Field Pulumi.GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2FieldIdResponse

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 GooglePrivacyDlpV2FieldIdResponse

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 GooglePrivacyDlpV2FieldIdResponse

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 GooglePrivacyDlpV2FieldIdResponse

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 GooglePrivacyDlpV2FieldIdResponse

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

BucketSize string

Total number of values in this bucket.

BucketValueCount string

Total number of distinct values in this bucket.

BucketValues List<Pulumi.GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2ValueFrequencyResponse>

Sample of value frequencies in this bucket. The total number of values returned per bucket is capped at 20.

ValueFrequencyLowerBound string

Lower bound on the value frequency of the values in this bucket.

ValueFrequencyUpperBound string

Upper bound on the value frequency of the values in this bucket.

BucketSize string

Total number of values in this bucket.

BucketValueCount string

Total number of distinct values in this bucket.

BucketValues []GooglePrivacyDlpV2ValueFrequencyResponse

Sample of value frequencies in this bucket. The total number of values returned per bucket is capped at 20.

ValueFrequencyLowerBound string

Lower bound on the value frequency of the values in this bucket.

ValueFrequencyUpperBound string

Upper bound on the value frequency of the values in this bucket.

bucketSize String

Total number of values in this bucket.

bucketValueCount String

Total number of distinct values in this bucket.

bucketValues ListPrivacyDlpV2ValueFrequencyResponse>

Sample of value frequencies in this bucket. The total number of values returned per bucket is capped at 20.

valueFrequencyLowerBound String

Lower bound on the value frequency of the values in this bucket.

valueFrequencyUpperBound String

Upper bound on the value frequency of the values in this bucket.

bucketSize string

Total number of values in this bucket.

bucketValueCount string

Total number of distinct values in this bucket.

bucketValues GooglePrivacyDlpV2ValueFrequencyResponse[]

Sample of value frequencies in this bucket. The total number of values returned per bucket is capped at 20.

valueFrequencyLowerBound string

Lower bound on the value frequency of the values in this bucket.

valueFrequencyUpperBound string

Upper bound on the value frequency of the values in this bucket.

bucket_size str

Total number of values in this bucket.

bucket_value_count str

Total number of distinct values in this bucket.

bucket_values Sequence[GooglePrivacyDlpV2ValueFrequencyResponse]

Sample of value frequencies in this bucket. The total number of values returned per bucket is capped at 20.

value_frequency_lower_bound str

Lower bound on the value frequency of the values in this bucket.

value_frequency_upper_bound str

Upper bound on the value frequency of the values in this bucket.

bucketSize String

Total number of values in this bucket.

bucketValueCount String

Total number of distinct values in this bucket.

bucketValues List

Sample of value frequencies in this bucket. The total number of values returned per bucket is capped at 20.

valueFrequencyLowerBound String

Lower bound on the value frequency of the values in this bucket.

valueFrequencyUpperBound String

Upper bound on the value frequency of the values in this bucket.

GooglePrivacyDlpV2CategoricalStatsResultResponse

valueFrequencyHistogramBuckets List

Histogram of value frequencies in the column.

GooglePrivacyDlpV2CloudStorageOptionsResponse

BytesLimitPerFile string

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_file and bytes_limit_per_file_percent can be specified. Cannot be set if de-identification is requested.

BytesLimitPerFilePercent int

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. Cannot be set if de-identification is requested.

FileSet Pulumi.GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2FileSetResponse

The set of one or more files to scan.

FileTypes 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'.

FilesLimitPercent int

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.

SampleMethod string
BytesLimitPerFile string

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_file and bytes_limit_per_file_percent can be specified. Cannot be set if de-identification is requested.

BytesLimitPerFilePercent int

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. Cannot be set if de-identification is requested.

FileSet GooglePrivacyDlpV2FileSetResponse

The set of one or more files to scan.

FileTypes []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'.

FilesLimitPercent int

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.

SampleMethod string
bytesLimitPerFile String

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_file and bytes_limit_per_file_percent can be specified. Cannot be set if de-identification is requested.

bytesLimitPerFilePercent Integer

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. Cannot be set if de-identification is requested.

fileSet GooglePrivacyDlpV2FileSetResponse

The set of one or more files to scan.

fileTypes List

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'.

filesLimitPercent Integer

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.

sampleMethod String
bytesLimitPerFile string

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_file and bytes_limit_per_file_percent can be specified. Cannot be set if de-identification is requested.

bytesLimitPerFilePercent number

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. Cannot be set if de-identification is requested.

fileSet GooglePrivacyDlpV2FileSetResponse

The set of one or more files to scan.

fileTypes 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'.

filesLimitPercent number

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.

sampleMethod string
bytes_limit_per_file str

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_file and bytes_limit_per_file_percent can be specified. Cannot be set if de-identification is requested.

bytes_limit_per_file_percent int

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. Cannot be set if de-identification is requested.

file_set GooglePrivacyDlpV2FileSetResponse

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_percent int

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
bytesLimitPerFile String

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_file and bytes_limit_per_file_percent can be specified. Cannot be set if de-identification is requested.

bytesLimitPerFilePercent Number

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. Cannot be set if de-identification is requested.

fileSet Property Map

The set of one or more files to scan.

fileTypes List

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'.

filesLimitPercent Number

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.

sampleMethod String

GooglePrivacyDlpV2CloudStoragePathResponse

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

GooglePrivacyDlpV2CloudStorageRegexFileSetResponse

BucketName string

The name of a Cloud Storage bucket. Required.

ExcludeRegex 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.

IncludeRegex 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.

BucketName string

The name of a Cloud Storage bucket. Required.

ExcludeRegex []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.

IncludeRegex []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.

bucketName String

The name of a Cloud Storage bucket. Required.

excludeRegex List

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.

includeRegex List

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.

bucketName string

The name of a Cloud Storage bucket. Required.

excludeRegex 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.

includeRegex 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.

bucketName String

The name of a Cloud Storage bucket. Required.

excludeRegex List

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.

includeRegex List

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.

GooglePrivacyDlpV2CustomInfoTypeResponse

DetectionRules List<Pulumi.GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2DetectionRuleResponse>

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_type CustomInfoType.

Dictionary Pulumi.GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2DictionaryResponse

A list of phrases to detect as a CustomInfoType.

ExclusionType 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.

InfoType Pulumi.GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2InfoTypeResponse

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_types field. Specifying the latter adds findings to the one detected by the system. If built-in info type is not specified in InspectContent.info_types list 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_LIKELY if not specified.

Regex Pulumi.GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2RegexResponse

Regular expression based CustomInfoType.

StoredType Pulumi.GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2StoredTypeResponse

Load an existing StoredInfoType resource for use in InspectDataSource. Not currently supported in InspectContent.

SurrogateType Pulumi.GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2SurrogateTypeResponse

Message for detecting output from deidentification transformations that support reversing.

DetectionRules []GooglePrivacyDlpV2DetectionRuleResponse

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_type CustomInfoType.

Dictionary GooglePrivacyDlpV2DictionaryResponse

A list of phrases to detect as a CustomInfoType.

ExclusionType 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.

InfoType GooglePrivacyDlpV2InfoTypeResponse

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_types field. Specifying the latter adds findings to the one detected by the system. If built-in info type is not specified in InspectContent.info_types list 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_LIKELY if not specified.

Regex GooglePrivacyDlpV2RegexResponse

Regular expression based CustomInfoType.

StoredType GooglePrivacyDlpV2StoredTypeResponse

Load an existing StoredInfoType resource for use in InspectDataSource. Not currently supported in InspectContent.

SurrogateType GooglePrivacyDlpV2SurrogateTypeResponse

Message for detecting output from deidentification transformations that support reversing.

detectionRules ListPrivacyDlpV2DetectionRuleResponse>

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_type CustomInfoType.

dictionary GooglePrivacyDlpV2DictionaryResponse

A list of phrases to detect as a CustomInfoType.

exclusionType 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.

infoType GooglePrivacyDlpV2InfoTypeResponse

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_types field. Specifying the latter adds findings to the one detected by the system. If built-in info type is not specified in InspectContent.info_types list 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_LIKELY if not specified.

regex GooglePrivacyDlpV2RegexResponse

Regular expression based CustomInfoType.

storedType GooglePrivacyDlpV2StoredTypeResponse

Load an existing StoredInfoType resource for use in InspectDataSource. Not currently supported in InspectContent.

surrogateType GooglePrivacyDlpV2SurrogateTypeResponse

Message for detecting output from deidentification transformations that support reversing.

detectionRules GooglePrivacyDlpV2DetectionRuleResponse[]

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_type CustomInfoType.

dictionary GooglePrivacyDlpV2DictionaryResponse

A list of phrases to detect as a CustomInfoType.

exclusionType 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.

infoType GooglePrivacyDlpV2InfoTypeResponse

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_types field. Specifying the latter adds findings to the one detected by the system. If built-in info type is not specified in InspectContent.info_types list 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_LIKELY if not specified.

regex GooglePrivacyDlpV2RegexResponse

Regular expression based CustomInfoType.

storedType GooglePrivacyDlpV2StoredTypeResponse

Load an existing StoredInfoType resource for use in InspectDataSource. Not currently supported in InspectContent.

surrogateType GooglePrivacyDlpV2SurrogateTypeResponse

Message for detecting output from deidentification transformations that support reversing.

detection_rules Sequence[GooglePrivacyDlpV2DetectionRuleResponse]

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_type CustomInfoType.

dictionary GooglePrivacyDlpV2DictionaryResponse

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 GooglePrivacyDlpV2InfoTypeResponse

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_types field. Specifying the latter adds findings to the one detected by the system. If built-in info type is not specified in InspectContent.info_types list 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_LIKELY if not specified.

regex GooglePrivacyDlpV2RegexResponse

Regular expression based CustomInfoType.

stored_type GooglePrivacyDlpV2StoredTypeResponse

Load an existing StoredInfoType resource for use in InspectDataSource. Not currently supported in InspectContent.

surrogate_type GooglePrivacyDlpV2SurrogateTypeResponse

Message for detecting output from deidentification transformations that support reversing.

detectionRules List

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_type CustomInfoType.

dictionary Property Map

A list of phrases to detect as a CustomInfoType.

exclusionType 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.

infoType 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_types field. Specifying the latter adds findings to the one detected by the system. If built-in info type is not specified in InspectContent.info_types list 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_LIKELY if not specified.

regex Property Map

Regular expression based CustomInfoType.

storedType Property Map

Load an existing StoredInfoType resource for use in InspectDataSource. Not currently supported in InspectContent.

surrogateType Property Map

Message for detecting output from deidentification transformations that support reversing.

GooglePrivacyDlpV2DatastoreOptionsResponse

Kind Pulumi.GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2KindExpressionResponse

The kind to process.

PartitionId Pulumi.GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2PartitionIdResponse

A partition ID identifies a grouping of entities. The grouping is always by project and namespace, however the namespace ID may be empty.

Kind GooglePrivacyDlpV2KindExpressionResponse

The kind to process.

PartitionId GooglePrivacyDlpV2PartitionIdResponse

A partition ID identifies a grouping of entities. The grouping is always by project and namespace, however the namespace ID may be empty.

kind GooglePrivacyDlpV2KindExpressionResponse

The kind to process.

partitionId GooglePrivacyDlpV2PartitionIdResponse

A partition ID identifies a grouping of entities. The grouping is always by project and namespace, however the namespace ID may be empty.

kind GooglePrivacyDlpV2KindExpressionResponse

The kind to process.

partitionId GooglePrivacyDlpV2PartitionIdResponse

A partition ID identifies a grouping of entities. The grouping is always by project and namespace, however the namespace ID may be empty.

kind GooglePrivacyDlpV2KindExpressionResponse

The kind to process.

partition_id GooglePrivacyDlpV2PartitionIdResponse

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.

partitionId 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.

GooglePrivacyDlpV2DeltaPresenceEstimationConfigResponse

AuxiliaryTables List<Pulumi.GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2StatisticalTableResponse>

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.

QuasiIds List<Pulumi.GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2QuasiIdResponse>

Fields considered to be quasi-identifiers. No two fields can have the same tag.

RegionCode 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.

AuxiliaryTables []GooglePrivacyDlpV2StatisticalTableResponse

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.

QuasiIds []GooglePrivacyDlpV2QuasiIdResponse

Fields considered to be quasi-identifiers. No two fields can have the same tag.

RegionCode 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.

auxiliaryTables ListPrivacyDlpV2StatisticalTableResponse>

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.

quasiIds ListPrivacyDlpV2QuasiIdResponse>

Fields considered to be quasi-identifiers. No two fields can have the same tag.

regionCode 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.

auxiliaryTables GooglePrivacyDlpV2StatisticalTableResponse[]

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.

quasiIds GooglePrivacyDlpV2QuasiIdResponse[]

Fields considered to be quasi-identifiers. No two fields can have the same tag.

regionCode 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[GooglePrivacyDlpV2StatisticalTableResponse]

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[GooglePrivacyDlpV2QuasiIdResponse]

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.

auxiliaryTables List

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.

quasiIds List

Fields considered to be quasi-identifiers. No two fields can have the same tag.

regionCode 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

BucketSize string

Number of records within these probability bounds.

BucketValueCount string

Total number of distinct quasi-identifier tuple values in this bucket.

BucketValues List<Pulumi.GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2DeltaPresenceEstimationQuasiIdValuesResponse>

Sample of quasi-identifier tuple values in this bucket. The total number of classes returned per bucket is capped at 20.

MaxProbability double

Always greater than or equal to min_probability.

MinProbability double

Between 0 and 1.

BucketSize string

Number of records within these probability bounds.

BucketValueCount string

Total number of distinct quasi-identifier tuple values in this bucket.

BucketValues []GooglePrivacyDlpV2DeltaPresenceEstimationQuasiIdValuesResponse

Sample of quasi-identifier tuple values in this bucket. The total number of classes returned per bucket is capped at 20.

MaxProbability float64

Always greater than or equal to min_probability.

MinProbability float64

Between 0 and 1.

bucketSize String

Number of records within these probability bounds.

bucketValueCount String

Total number of distinct quasi-identifier tuple values in this bucket.

bucketValues ListPrivacyDlpV2DeltaPresenceEstimationQuasiIdValuesResponse>

Sample of quasi-identifier tuple values in this bucket. The total number of classes returned per bucket is capped at 20.

maxProbability Double

Always greater than or equal to min_probability.

minProbability Double

Between 0 and 1.

bucketSize string

Number of records within these probability bounds.

bucketValueCount string

Total number of distinct quasi-identifier tuple values in this bucket.

bucketValues GooglePrivacyDlpV2DeltaPresenceEstimationQuasiIdValuesResponse[]

Sample of quasi-identifier tuple values in this bucket. The total number of classes returned per bucket is capped at 20.

maxProbability number

Always greater than or equal to min_probability.

minProbability number

Between 0 and 1.

bucket_size str

Number of records within these probability bounds.

bucket_value_count str

Total number of distinct quasi-identifier tuple values in this bucket.

bucket_values Sequence[GooglePrivacyDlpV2DeltaPresenceEstimationQuasiIdValuesResponse]

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.

bucketSize String

Number of records within these probability bounds.

bucketValueCount String

Total number of distinct quasi-identifier tuple values in this bucket.

bucketValues List

Sample of quasi-identifier tuple values in this bucket. The total number of classes returned per bucket is capped at 20.

maxProbability Number

Always greater than or equal to min_probability.

minProbability Number

Between 0 and 1.

GooglePrivacyDlpV2DeltaPresenceEstimationQuasiIdValuesResponse

EstimatedProbability 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.

QuasiIdsValues List<Pulumi.GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2ValueResponse>

The quasi-identifier values.

EstimatedProbability 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.

QuasiIdsValues []GooglePrivacyDlpV2ValueResponse

The quasi-identifier values.

estimatedProbability 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.

quasiIdsValues ListPrivacyDlpV2ValueResponse>

The quasi-identifier values.

estimatedProbability 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.

quasiIdsValues GooglePrivacyDlpV2ValueResponse[]

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_values Sequence[GooglePrivacyDlpV2ValueResponse]

The quasi-identifier values.

estimatedProbability 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.

quasiIdsValues List

The quasi-identifier values.

GooglePrivacyDlpV2DeltaPresenceEstimationResultResponse

DeltaPresenceEstimationHistogram List<Pulumi.GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2DeltaPresenceEstimationHistogramBucketResponse>

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.

DeltaPresenceEstimationHistogram []GooglePrivacyDlpV2DeltaPresenceEstimationHistogramBucketResponse

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.

deltaPresenceEstimationHistogram ListPrivacyDlpV2DeltaPresenceEstimationHistogramBucketResponse>

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.

deltaPresenceEstimationHistogram GooglePrivacyDlpV2DeltaPresenceEstimationHistogramBucketResponse[]

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_estimation_histogram Sequence[GooglePrivacyDlpV2DeltaPresenceEstimationHistogramBucketResponse]

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.

deltaPresenceEstimationHistogram List

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.

GooglePrivacyDlpV2DetectionRuleResponse

hotwordRule Property Map

Hotword-based detection rule.

GooglePrivacyDlpV2DictionaryResponse

CloudStoragePath Pulumi.GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2CloudStoragePathResponse

Newline-delimited file of words in Cloud Storage. Only a single file is accepted.

WordList Pulumi.GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2WordListResponse

List of words or phrases to search for.

CloudStoragePath GooglePrivacyDlpV2CloudStoragePathResponse

Newline-delimited file of words in Cloud Storage. Only a single file is accepted.

WordList GooglePrivacyDlpV2WordListResponse

List of words or phrases to search for.

cloudStoragePath GooglePrivacyDlpV2CloudStoragePathResponse

Newline-delimited file of words in Cloud Storage. Only a single file is accepted.

wordList GooglePrivacyDlpV2WordListResponse

List of words or phrases to search for.

cloudStoragePath GooglePrivacyDlpV2CloudStoragePathResponse

Newline-delimited file of words in Cloud Storage. Only a single file is accepted.

wordList GooglePrivacyDlpV2WordListResponse

List of words or phrases to search for.

cloud_storage_path GooglePrivacyDlpV2CloudStoragePathResponse

Newline-delimited file of words in Cloud Storage. Only a single file is accepted.

word_list GooglePrivacyDlpV2WordListResponse

List of words or phrases to search for.

cloudStoragePath Property Map

Newline-delimited file of words in Cloud Storage. Only a single file is accepted.

wordList Property Map

List of words or phrases to search for.

GooglePrivacyDlpV2EntityIdResponse

Field Pulumi.GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2FieldIdResponse

Composite key indicating which field contains the entity identifier.

Field GooglePrivacyDlpV2FieldIdResponse

Composite key indicating which field contains the entity identifier.

field GooglePrivacyDlpV2FieldIdResponse

Composite key indicating which field contains the entity identifier.

field GooglePrivacyDlpV2FieldIdResponse

Composite key indicating which field contains the entity identifier.

field GooglePrivacyDlpV2FieldIdResponse

Composite key indicating which field contains the entity identifier.

field Property Map

Composite key indicating which field contains the entity identifier.

GooglePrivacyDlpV2ErrorResponse

Details Pulumi.GoogleNative.DLP.V2.Inputs.GoogleRpcStatusResponse

Detailed error codes and messages.

Timestamps List<string>

The times the error occurred.

Details GoogleRpcStatusResponse

Detailed error codes and messages.

Timestamps []string

The times the error occurred.

details GoogleRpcStatusResponse

Detailed error codes and messages.

timestamps List

The times the error occurred.

details GoogleRpcStatusResponse

Detailed error codes and messages.

timestamps string[]

The times the error occurred.

details GoogleRpcStatusResponse

Detailed error codes and messages.

timestamps Sequence[str]

The times the error occurred.

details Property Map

Detailed error codes and messages.

timestamps List

The times the error occurred.

GooglePrivacyDlpV2ExcludeInfoTypesResponse

InfoTypes List<Pulumi.GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2InfoTypeResponse>

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_types containing "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.

InfoTypes []GooglePrivacyDlpV2InfoTypeResponse

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_types containing "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.

infoTypes ListPrivacyDlpV2InfoTypeResponse>

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_types containing "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.

infoTypes GooglePrivacyDlpV2InfoTypeResponse[]

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_types containing "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[GooglePrivacyDlpV2InfoTypeResponse]

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_types containing "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.

infoTypes List

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_types containing "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.

GooglePrivacyDlpV2ExclusionRuleResponse

Dictionary Pulumi.GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2DictionaryResponse

Dictionary which defines the rule.

ExcludeInfoTypes Pulumi.GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2ExcludeInfoTypesResponse

Set of infoTypes for which findings would affect this rule.

MatchingType string

How the rule is applied, see MatchingType documentation for details.

Regex Pulumi.GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2RegexResponse

Regular expression which defines the rule.

Dictionary GooglePrivacyDlpV2DictionaryResponse

Dictionary which defines the rule.

ExcludeInfoTypes GooglePrivacyDlpV2ExcludeInfoTypesResponse

Set of infoTypes for which findings would affect this rule.

MatchingType string

How the rule is applied, see MatchingType documentation for details.

Regex GooglePrivacyDlpV2RegexResponse

Regular expression which defines the rule.

dictionary GooglePrivacyDlpV2DictionaryResponse

Dictionary which defines the rule.

excludeInfoTypes GooglePrivacyDlpV2ExcludeInfoTypesResponse

Set of infoTypes for which findings would affect this rule.

matchingType String

How the rule is applied, see MatchingType documentation for details.

regex GooglePrivacyDlpV2RegexResponse

Regular expression which defines the rule.

dictionary GooglePrivacyDlpV2DictionaryResponse

Dictionary which defines the rule.

excludeInfoTypes GooglePrivacyDlpV2ExcludeInfoTypesResponse

Set of infoTypes for which findings would affect this rule.

matchingType string

How the rule is applied, see MatchingType documentation for details.

regex GooglePrivacyDlpV2RegexResponse

Regular expression which defines the rule.

dictionary GooglePrivacyDlpV2DictionaryResponse

Dictionary which defines the rule.

exclude_info_types GooglePrivacyDlpV2ExcludeInfoTypesResponse

Set of infoTypes for which findings would affect this rule.

matching_type str

How the rule is applied, see MatchingType documentation for details.

regex GooglePrivacyDlpV2RegexResponse

Regular expression which defines the rule.

dictionary Property Map

Dictionary which defines the rule.

excludeInfoTypes Property Map

Set of infoTypes for which findings would affect this rule.

matchingType String

How the rule is applied, see MatchingType documentation for details.

regex Property Map

Regular expression which defines the rule.

GooglePrivacyDlpV2FieldIdResponse

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.

GooglePrivacyDlpV2FileSetResponse

RegexFileSet Pulumi.GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2CloudStorageRegexFileSetResponse

The regex-filtered set of files to scan. Exactly one of url or regex_file_set must 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 that gs://mybucket/ is equivalent to gs://mybucket/*, and gs://mybucket/directory/ is equivalent to gs://mybucket/directory/*. Exactly one of url or regex_file_set must be set.

RegexFileSet GooglePrivacyDlpV2CloudStorageRegexFileSetResponse

The regex-filtered set of files to scan. Exactly one of url or regex_file_set must 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 that gs://mybucket/ is equivalent to gs://mybucket/*, and gs://mybucket/directory/ is equivalent to gs://mybucket/directory/*. Exactly one of url or regex_file_set must be set.

regexFileSet GooglePrivacyDlpV2CloudStorageRegexFileSetResponse

The regex-filtered set of files to scan. Exactly one of url or regex_file_set must 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 that gs://mybucket/ is equivalent to gs://mybucket/*, and gs://mybucket/directory/ is equivalent to gs://mybucket/directory/*. Exactly one of url or regex_file_set must be set.

regexFileSet GooglePrivacyDlpV2CloudStorageRegexFileSetResponse

The regex-filtered set of files to scan. Exactly one of url or regex_file_set must 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 that gs://mybucket/ is equivalent to gs://mybucket/*, and gs://mybucket/directory/ is equivalent to gs://mybucket/directory/*. Exactly one of url or regex_file_set must be set.

regex_file_set GooglePrivacyDlpV2CloudStorageRegexFileSetResponse

The regex-filtered set of files to scan. Exactly one of url or regex_file_set must 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 that gs://mybucket/ is equivalent to gs://mybucket/*, and gs://mybucket/directory/ is equivalent to gs://mybucket/directory/*. Exactly one of url or regex_file_set must be set.

regexFileSet Property Map

The regex-filtered set of files to scan. Exactly one of url or regex_file_set must 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 that gs://mybucket/ is equivalent to gs://mybucket/*, and gs://mybucket/directory/ is equivalent to gs://mybucket/directory/*. Exactly one of url or regex_file_set must be set.

GooglePrivacyDlpV2FindingLimitsResponse

MaxFindingsPerInfoType List<Pulumi.GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2InfoTypeLimitResponse>

Configuration of findings limit given for specified infoTypes.

MaxFindingsPerItem int

Max number of findings that will be returned for each item scanned. When set within InspectJobConfig, the maximum returned is 2000 regardless if this is set higher. When set within InspectContentRequest, this field is ignored.

MaxFindingsPerRequest int

Max number of findings that will be returned per request/job. When set within InspectContentRequest, the maximum returned is 2000 regardless if this is set higher.

MaxFindingsPerInfoType []GooglePrivacyDlpV2InfoTypeLimitResponse

Configuration of findings limit given for specified infoTypes.

MaxFindingsPerItem int

Max number of findings that will be returned for each item scanned. When set within InspectJobConfig, the maximum returned is 2000 regardless if this is set higher. When set within InspectContentRequest, this field is ignored.

MaxFindingsPerRequest int

Max number of findings that will be returned per request/job. When set within InspectContentRequest, the maximum returned is 2000 regardless if this is set higher.

maxFindingsPerInfoType ListPrivacyDlpV2InfoTypeLimitResponse>

Configuration of findings limit given for specified infoTypes.

maxFindingsPerItem Integer

Max number of findings that will be returned for each item scanned. When set within InspectJobConfig, the maximum returned is 2000 regardless if this is set higher. When set within InspectContentRequest, this field is ignored.

maxFindingsPerRequest Integer

Max number of findings that will be returned per request/job. When set within InspectContentRequest, the maximum returned is 2000 regardless if this is set higher.

maxFindingsPerInfoType GooglePrivacyDlpV2InfoTypeLimitResponse[]

Configuration of findings limit given for specified infoTypes.

maxFindingsPerItem number

Max number of findings that will be returned for each item scanned. When set within InspectJobConfig, the maximum returned is 2000 regardless if this is set higher. When set within InspectContentRequest, this field is ignored.

maxFindingsPerRequest number

Max number of findings that will be returned per request/job. When set within InspectContentRequest, the maximum returned is 2000 regardless if this is set higher.

max_findings_per_info_type Sequence[GooglePrivacyDlpV2InfoTypeLimitResponse]

Configuration of findings limit given for specified infoTypes.

max_findings_per_item int

Max number of findings that will be returned for each item scanned. When set within InspectJobConfig, the maximum returned is 2000 regardless if this is set higher. When set within InspectContentRequest, this field is ignored.

max_findings_per_request int

Max number of findings that will be returned per request/job. When set within InspectContentRequest, the maximum returned is 2000 regardless if this is set higher.

maxFindingsPerInfoType List

Configuration of findings limit given for specified infoTypes.

maxFindingsPerItem Number

Max number of findings that will be returned for each item scanned. When set within InspectJobConfig, the maximum returned is 2000 regardless if this is set higher. When set within InspectContentRequest, this field is ignored.

maxFindingsPerRequest Number

Max number of findings that will be returned per request/job. When set within InspectContentRequest, the maximum returned is 2000 regardless if this is set higher.

GooglePrivacyDlpV2HotwordRuleResponse

HotwordRegex Pulumi.GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2RegexResponse

Regular expression pattern defining what qualifies as a hotword.

LikelihoodAdjustment Pulumi.GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2LikelihoodAdjustmentResponse

Likelihood adjustment to apply to all matching findings.

Proximity Pulumi.GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2ProximityResponse

Proximity of the finding within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. Note that the finding itself will be included in the window, so that hotwords may be used to match substrings of the finding itself. For example, the certainty of a phone number regex "(\d{3}) \d{3}-\d{4}" could be adjusted upwards if the area code is known to be the local area code of a company office using the hotword regex "(xxx)", where "xxx" is the area code in question.

HotwordRegex GooglePrivacyDlpV2RegexResponse

Regular expression pattern defining what qualifies as a hotword.

LikelihoodAdjustment GooglePrivacyDlpV2LikelihoodAdjustmentResponse

Likelihood adjustment to apply to all matching findings.

Proximity GooglePrivacyDlpV2ProximityResponse

Proximity of the finding within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. Note that the finding itself will be included in the window, so that hotwords may be used to match substrings of the finding itself. For example, the certainty of a phone number regex "(\d{3}) \d{3}-\d{4}" could be adjusted upwards if the area code is known to be the local area code of a company office using the hotword regex "(xxx)", where "xxx" is the area code in question.

hotwordRegex GooglePrivacyDlpV2RegexResponse

Regular expression pattern defining what qualifies as a hotword.

likelihoodAdjustment GooglePrivacyDlpV2LikelihoodAdjustmentResponse

Likelihood adjustment to apply to all matching findings.

proximity GooglePrivacyDlpV2ProximityResponse

Proximity of the finding within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. Note that the finding itself will be included in the window, so that hotwords may be used to match substrings of the finding itself. For example, the certainty of a phone number regex "(\d{3}) \d{3}-\d{4}" could be adjusted upwards if the area code is known to be the local area code of a company office using the hotword regex "(xxx)", where "xxx" is the area code in question.

hotwordRegex GooglePrivacyDlpV2RegexResponse

Regular expression pattern defining what qualifies as a hotword.

likelihoodAdjustment GooglePrivacyDlpV2LikelihoodAdjustmentResponse

Likelihood adjustment to apply to all matching findings.

proximity GooglePrivacyDlpV2ProximityResponse

Proximity of the finding within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. Note that the finding itself will be included in the window, so that hotwords may be used to match substrings of the finding itself. For example, the certainty of a phone number regex "(\d{3}) \d{3}-\d{4}" could be adjusted upwards if the area code is known to be the local area code of a company office using the hotword regex "(xxx)", where "xxx" is the area code in question.

hotword_regex GooglePrivacyDlpV2RegexResponse

Regular expression pattern defining what qualifies as a hotword.

likelihood_adjustment GooglePrivacyDlpV2LikelihoodAdjustmentResponse

Likelihood adjustment to apply to all matching findings.

proximity GooglePrivacyDlpV2ProximityResponse

Proximity of the finding within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. Note that the finding itself will be included in the window, so that hotwords may be used to match substrings of the finding itself. For example, the certainty of a phone number regex "(\d{3}) \d{3}-\d{4}" could be adjusted upwards if the area code is known to be the local area code of a company office using the hotword regex "(xxx)", where "xxx" is the area code in question.

hotwordRegex Property Map

Regular expression pattern defining what qualifies as a hotword.

likelihoodAdjustment Property Map

Likelihood adjustment to apply to all matching findings.

proximity Property Map

Proximity of the finding within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. Note that the finding itself will be included in the window, so that hotwords may be used to match substrings of the finding itself. For example, the certainty of a phone number regex "(\d{3}) \d{3}-\d{4}" could be adjusted upwards if the area code is known to be the local area code of a company office using the hotword regex "(xxx)", where "xxx" is the area code in question.

GooglePrivacyDlpV2HybridInspectStatisticsResponse

AbortedCount string

The number of hybrid inspection requests aborted because the job ran out of quota or was ended before they could be processed.

PendingCount 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.

ProcessedCount string

The number of hybrid inspection requests processed within this job.

AbortedCount string

The number of hybrid inspection requests aborted because the job ran out of quota or was ended before they could be processed.

PendingCount 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.

ProcessedCount string

The number of hybrid inspection requests processed within this job.

abortedCount String

The number of hybrid inspection requests aborted because the job ran out of quota or was ended before they could be processed.

pendingCount 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.

processedCount String

The number of hybrid inspection requests processed within this job.

abortedCount string

The number of hybrid inspection requests aborted because the job ran out of quota or was ended before they could be processed.

pendingCount 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.

processedCount 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.

abortedCount String

The number of hybrid inspection requests aborted because the job ran out of quota or was ended before they could be processed.

pendingCount 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.

processedCount String

The number of hybrid inspection requests processed within this job.

GooglePrivacyDlpV2HybridOptionsResponse

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"

RequiredFindingLabelKeys List<string>

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.

TableOptions Pulumi.GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2TableOptionsResponse

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"

RequiredFindingLabelKeys []string

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.

TableOptions GooglePrivacyDlpV2TableOptionsResponse

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

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"

requiredFindingLabelKeys List

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.

tableOptions GooglePrivacyDlpV2TableOptionsResponse

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"

requiredFindingLabelKeys string[]

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.

tableOptions GooglePrivacyDlpV2TableOptionsResponse

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_label_keys Sequence[str]

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 GooglePrivacyDlpV2TableOptionsResponse

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

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"

requiredFindingLabelKeys List

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.

tableOptions Property Map

If the container is a table, additional information to make findings meaningful such as the columns that are primary keys.

GooglePrivacyDlpV2InfoTypeLimitResponse

InfoType Pulumi.GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2InfoTypeResponse

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.

MaxFindings int

Max findings limit for the given infoType.

InfoType GooglePrivacyDlpV2InfoTypeResponse

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.

MaxFindings int

Max findings limit for the given infoType.

infoType GooglePrivacyDlpV2InfoTypeResponse

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.

maxFindings Integer

Max findings limit for the given infoType.

infoType GooglePrivacyDlpV2InfoTypeResponse

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.

maxFindings number

Max findings limit for the given infoType.

info_type GooglePrivacyDlpV2InfoTypeResponse

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.

infoType 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.

maxFindings Number

Max findings limit for the given infoType.

GooglePrivacyDlpV2InfoTypeResponse

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}.

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}.

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}.

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}.

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}.

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}.

version String

Optional version name for this InfoType.

GooglePrivacyDlpV2InfoTypeStatsResponse

Count string

Number of findings for this infoType.

InfoType Pulumi.GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2InfoTypeResponse

The type of finding this stat is for.

Count string

Number of findings for this infoType.

InfoType GooglePrivacyDlpV2InfoTypeResponse

The type of finding this stat is for.

count String

Number of findings for this infoType.

infoType GooglePrivacyDlpV2InfoTypeResponse

The type of finding this stat is for.

count string

Number of findings for this infoType.

infoType GooglePrivacyDlpV2InfoTypeResponse

The type of finding this stat is for.

count str

Number of findings for this infoType.

info_type GooglePrivacyDlpV2InfoTypeResponse

The type of finding this stat is for.

count String

Number of findings for this infoType.

infoType Property Map

The type of finding this stat is for.

GooglePrivacyDlpV2InspectConfigResponse

ContentOptions List<string>

Deprecated and unused.

Deprecated:

Deprecated and unused.

CustomInfoTypes List<Pulumi.GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2CustomInfoTypeResponse>

CustomInfoTypes provided by the user. See https://cloud.google.com/dlp/docs/creating-custom-infotypes to learn more.

ExcludeInfoTypes bool

When true, excludes type information of the findings. This is not used for data profiling.

IncludeQuote 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.

InfoTypes List<Pulumi.GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2InfoTypeResponse>

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 what detectors to run. By default this may be all types, but may change over time as detectors are updated. 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.GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2FindingLimitsResponse

Configuration to control the number of findings returned. This is not used for data profiling.

MinLikelihood string

Only returns findings equal or above this threshold. The default is POSSIBLE. See https://cloud.google.com/dlp/docs/likelihood to learn more.

RuleSet List<Pulumi.GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2InspectionRuleSetResponse>

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.

ContentOptions []string

Deprecated and unused.

Deprecated:

Deprecated and unused.

CustomInfoTypes []GooglePrivacyDlpV2CustomInfoTypeResponse

CustomInfoTypes provided by the user. See https://cloud.google.com/dlp/docs/creating-custom-infotypes to learn more.

ExcludeInfoTypes bool

When true, excludes type information of the findings. This is not used for data profiling.

IncludeQuote 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.

InfoTypes []GooglePrivacyDlpV2InfoTypeResponse

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 what detectors to run. By default this may be all types, but may change over time as detectors are updated. 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 GooglePrivacyDlpV2FindingLimitsResponse

Configuration to control the number of findings returned. This is not used for data profiling.

MinLikelihood string

Only returns findings equal or above this threshold. The default is POSSIBLE. See https://cloud.google.com/dlp/docs/likelihood to learn more.

RuleSet []GooglePrivacyDlpV2InspectionRuleSetResponse

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.

contentOptions List

Deprecated and unused.

Deprecated:

Deprecated and unused.

customInfoTypes ListPrivacyDlpV2CustomInfoTypeResponse>

CustomInfoTypes provided by the user. See https://cloud.google.com/dlp/docs/creating-custom-infotypes to learn more.

excludeInfoTypes Boolean

When true, excludes type information of the findings. This is not used for data profiling.

includeQuote 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.

infoTypes ListPrivacyDlpV2InfoTypeResponse>

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 what detectors to run. By default this may be all types, but may change over time as detectors are updated. 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 GooglePrivacyDlpV2FindingLimitsResponse

Configuration to control the number of findings returned. This is not used for data profiling.

minLikelihood String

Only returns findings equal or above this threshold. The default is POSSIBLE. See https://cloud.google.com/dlp/docs/likelihood to learn more.

ruleSet ListPrivacyDlpV2InspectionRuleSetResponse>

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.

contentOptions string[]

Deprecated and unused.

Deprecated:

Deprecated and unused.

customInfoTypes GooglePrivacyDlpV2CustomInfoTypeResponse[]

CustomInfoTypes provided by the user. See https://cloud.google.com/dlp/docs/creating-custom-infotypes to learn more.

excludeInfoTypes boolean

When true, excludes type information of the findings. This is not used for data profiling.

includeQuote 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.

infoTypes GooglePrivacyDlpV2InfoTypeResponse[]

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 what detectors to run. By default this may be all types, but may change over time as detectors are updated. 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 GooglePrivacyDlpV2FindingLimitsResponse

Configuration to control the number of findings returned. This is not used for data profiling.

minLikelihood string

Only returns findings equal or above this threshold. The default is POSSIBLE. See https://cloud.google.com/dlp/docs/likelihood to learn more.

ruleSet GooglePrivacyDlpV2InspectionRuleSetResponse[]

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.

Deprecated:

Deprecated and unused.

custom_info_types Sequence[GooglePrivacyDlpV2CustomInfoTypeResponse]

CustomInfoTypes provided by the user. See https://cloud.google.com/dlp/docs/creating-custom-infotypes to learn more.

exclude_info_types bool

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[GooglePrivacyDlpV2InfoTypeResponse]

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 what detectors to run. By default this may be all types, but may change over time as detectors are updated. 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 GooglePrivacyDlpV2FindingLimitsResponse

Configuration to control the number of findings returned. This is not used for data profiling.

min_likelihood str

Only returns findings equal or above this threshold. The default is POSSIBLE. See https://cloud.google.com/dlp/docs/likelihood to learn more.

rule_set Sequence[GooglePrivacyDlpV2InspectionRuleSetResponse]

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.

contentOptions List

Deprecated and unused.

Deprecated:

Deprecated and unused.

customInfoTypes List

CustomInfoTypes provided by the user. See https://cloud.google.com/dlp/docs/creating-custom-infotypes to learn more.

excludeInfoTypes Boolean

When true, excludes type information of the findings. This is not used for data profiling.

includeQuote 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.

infoTypes List

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 what detectors to run. By default this may be all types, but may change over time as detectors are updated. 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.

minLikelihood String

Only returns findings equal or above this threshold. The default is POSSIBLE. See https://cloud.google.com/dlp/docs/likelihood to learn more.

ruleSet List

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

RequestedOptions GooglePrivacyDlpV2RequestedOptionsResponse

The configuration used for this job.

Result GooglePrivacyDlpV2ResultResponse

A summary of the outcome of this inspection job.

requestedOptions GooglePrivacyDlpV2RequestedOptionsResponse

The configuration used for this job.

result GooglePrivacyDlpV2ResultResponse

A summary of the outcome of this inspection job.

requestedOptions GooglePrivacyDlpV2RequestedOptionsResponse

The configuration used for this job.

result GooglePrivacyDlpV2ResultResponse

A summary of the outcome of this inspection job.

requested_options GooglePrivacyDlpV2RequestedOptionsResponse

The configuration used for this job.

result GooglePrivacyDlpV2ResultResponse

A summary of the outcome of this inspection job.

requestedOptions Property Map

The configuration used for this job.

result Property Map

A summary of the outcome of this inspection job.

GooglePrivacyDlpV2InspectJobConfigResponse

Actions List<Pulumi.GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2ActionResponse>

Actions to execute at the completion of the job.

InspectConfig Pulumi.GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2InspectConfigResponse

How and what to scan for.

InspectTemplateName string

If provided, will be used as the default for all values in InspectConfig. inspect_config will be merged into the values persisted as part of the template.

StorageConfig Pulumi.GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2StorageConfigResponse

The data to scan.

Actions []GooglePrivacyDlpV2ActionResponse

Actions to execute at the completion of the job.

InspectConfig GooglePrivacyDlpV2InspectConfigResponse

How and what to scan for.

InspectTemplateName string

If provided, will be used as the default for all values in InspectConfig. inspect_config will be merged into the values persisted as part of the template.

StorageConfig GooglePrivacyDlpV2StorageConfigResponse

The data to scan.

actions ListPrivacyDlpV2ActionResponse>

Actions to execute at the completion of the job.

inspectConfig GooglePrivacyDlpV2InspectConfigResponse

How and what to scan for.

inspectTemplateName String

If provided, will be used as the default for all values in InspectConfig. inspect_config will be merged into the values persisted as part of the template.

storageConfig GooglePrivacyDlpV2StorageConfigResponse

The data to scan.

actions GooglePrivacyDlpV2ActionResponse[]

Actions to execute at the completion of the job.

inspectConfig GooglePrivacyDlpV2InspectConfigResponse

How and what to scan for.

inspectTemplateName string

If provided, will be used as the default for all values in InspectConfig. inspect_config will be merged into the values persisted as part of the template.

storageConfig GooglePrivacyDlpV2StorageConfigResponse

The data to scan.

actions Sequence[GooglePrivacyDlpV2ActionResponse]

Actions to execute at the completion of the job.

inspect_config GooglePrivacyDlpV2InspectConfigResponse

How and what to scan for.

inspect_template_name str

If provided, will be used as the default for all values in InspectConfig. inspect_config will be merged into the values persisted as part of the template.

storage_config GooglePrivacyDlpV2StorageConfigResponse

The data to scan.

actions List

Actions to execute at the completion of the job.

inspectConfig Property Map

How and what to scan for.

inspectTemplateName String

If provided, will be used as the default for all values in InspectConfig. inspect_config will be merged into the values persisted as part of the template.

storageConfig Property Map

The data to scan.

GooglePrivacyDlpV2InspectTemplateResponse

CreateTime string

The creation timestamp of an inspectTemplate.

Description string

Short description (max 256 chars).

DisplayName string

Display name (max 256 chars).

InspectConfig Pulumi.GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2InspectConfigResponse

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_ID OR organizations/ORGANIZATION_ID/inspectTemplates/TEMPLATE_ID;

UpdateTime string

The last update timestamp of an inspectTemplate.

CreateTime string

The creation timestamp of an inspectTemplate.

Description string

Short description (max 256 chars).

DisplayName string

Display name (max 256 chars).

InspectConfig GooglePrivacyDlpV2InspectConfigResponse

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_ID OR organizations/ORGANIZATION_ID/inspectTemplates/TEMPLATE_ID;

UpdateTime string

The last update timestamp of an inspectTemplate.

createTime String

The creation timestamp of an inspectTemplate.

description String

Short description (max 256 chars).

displayName String

Display name (max 256 chars).

inspectConfig GooglePrivacyDlpV2InspectConfigResponse

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_ID OR organizations/ORGANIZATION_ID/inspectTemplates/TEMPLATE_ID;

updateTime String

The last update timestamp of an inspectTemplate.

createTime string

The creation timestamp of an inspectTemplate.

description string

Short description (max 256 chars).

displayName string

Display name (max 256 chars).

inspectConfig GooglePrivacyDlpV2InspectConfigResponse

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_ID OR organizations/ORGANIZATION_ID/inspectTemplates/TEMPLATE_ID;

updateTime 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 GooglePrivacyDlpV2InspectConfigResponse

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_ID OR organizations/ORGANIZATION_ID/inspectTemplates/TEMPLATE_ID;

update_time str

The last update timestamp of an inspectTemplate.

createTime String

The creation timestamp of an inspectTemplate.

description String

Short description (max 256 chars).

displayName String

Display name (max 256 chars).

inspectConfig 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_ID OR organizations/ORGANIZATION_ID/inspectTemplates/TEMPLATE_ID;

updateTime String

The last update timestamp of an inspectTemplate.

GooglePrivacyDlpV2InspectionRuleResponse

exclusionRule Property Map

Exclusion rule.

hotwordRule Property Map

Hotword-based detection rule.

GooglePrivacyDlpV2InspectionRuleSetResponse

InfoTypes List<Pulumi.GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2InfoTypeResponse>

List of infoTypes this rule set is applied to.

Rules List<Pulumi.GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2InspectionRuleResponse>

Set of rules to be applied to infoTypes. The rules are applied in order.

InfoTypes []GooglePrivacyDlpV2InfoTypeResponse

List of infoTypes this rule set is applied to.

Rules []GooglePrivacyDlpV2InspectionRuleResponse

Set of rules to be applied to infoTypes. The rules are applied in order.

infoTypes ListPrivacyDlpV2InfoTypeResponse>

List of infoTypes this rule set is applied to.

rules ListPrivacyDlpV2InspectionRuleResponse>

Set of rules to be applied to infoTypes. The rules are applied in order.

infoTypes GooglePrivacyDlpV2InfoTypeResponse[]

List of infoTypes this rule set is applied to.

rules GooglePrivacyDlpV2InspectionRuleResponse[]

Set of rules to be applied to infoTypes. The rules are applied in order.

info_types Sequence[GooglePrivacyDlpV2InfoTypeResponse]

List of infoTypes this rule set is applied to.

rules Sequence[GooglePrivacyDlpV2InspectionRuleResponse]

Set of rules to be applied to infoTypes. The rules are applied in order.

infoTypes List

List of infoTypes this rule set is applied to.

rules List

Set of rules to be applied to infoTypes. The rules are applied in order.

GooglePrivacyDlpV2KAnonymityConfigResponse

EntityId Pulumi.GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2EntityIdResponse

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.

QuasiIds List<Pulumi.GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2FieldIdResponse>

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.

EntityId GooglePrivacyDlpV2EntityIdResponse

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.

QuasiIds []GooglePrivacyDlpV2FieldIdResponse

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.

entityId GooglePrivacyDlpV2EntityIdResponse

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.

quasiIds ListPrivacyDlpV2FieldIdResponse>

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.

entityId GooglePrivacyDlpV2EntityIdResponse

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.

quasiIds GooglePrivacyDlpV2FieldIdResponse[]

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 GooglePrivacyDlpV2EntityIdResponse

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[GooglePrivacyDlpV2FieldIdResponse]

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.

entityId 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.

quasiIds List

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

EquivalenceClassSize string

Size of the equivalence class, for example number of rows with the above set of values.

QuasiIdsValues List<Pulumi.GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2ValueResponse>

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.

EquivalenceClassSize string

Size of the equivalence class, for example number of rows with the above set of values.

QuasiIdsValues []GooglePrivacyDlpV2ValueResponse

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.

equivalenceClassSize String

Size of the equivalence class, for example number of rows with the above set of values.

quasiIdsValues ListPrivacyDlpV2ValueResponse>

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.

equivalenceClassSize string

Size of the equivalence class, for example number of rows with the above set of values.

quasiIdsValues GooglePrivacyDlpV2ValueResponse[]

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_size str

Size of the equivalence class, for example number of rows with the above set of values.

quasi_ids_values Sequence[GooglePrivacyDlpV2ValueResponse]

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.

equivalenceClassSize String

Size of the equivalence class, for example number of rows with the above set of values.

quasiIdsValues List

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

BucketSize string

Total number of equivalence classes in this bucket.

BucketValueCount string

Total number of distinct equivalence classes in this bucket.

BucketValues List<Pulumi.GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2KAnonymityEquivalenceClassResponse>

Sample of equivalence classes in this bucket. The total number of classes returned per bucket is capped at 20.

EquivalenceClassSizeLowerBound string

Lower bound on the size of the equivalence classes in this bucket.

EquivalenceClassSizeUpperBound string

Upper bound on the size of the equivalence classes in this bucket.

BucketSize string

Total number of equivalence classes in this bucket.

BucketValueCount string

Total number of distinct equivalence classes in this bucket.

BucketValues []GooglePrivacyDlpV2KAnonymityEquivalenceClassResponse

Sample of equivalence classes in this bucket. The total number of classes returned per bucket is capped at 20.

EquivalenceClassSizeLowerBound string

Lower bound on the size of the equivalence classes in this bucket.

EquivalenceClassSizeUpperBound string

Upper bound on the size of the equivalence classes in this bucket.

bucketSize String

Total number of equivalence classes in this bucket.

bucketValueCount String

Total number of distinct equivalence classes in this bucket.

bucketValues ListPrivacyDlpV2KAnonymityEquivalenceClassResponse>

Sample of equivalence classes in this bucket. The total number of classes returned per bucket is capped at 20.

equivalenceClassSizeLowerBound String

Lower bound on the size of the equivalence classes in this bucket.

equivalenceClassSizeUpperBound String

Upper bound on the size of the equivalence classes in this bucket.

bucketSize string

Total number of equivalence classes in this bucket.

bucketValueCount string

Total number of distinct equivalence classes in this bucket.

bucketValues GooglePrivacyDlpV2KAnonymityEquivalenceClassResponse[]

Sample of equivalence classes in this bucket. The total number of classes returned per bucket is capped at 20.

equivalenceClassSizeLowerBound string

Lower bound on the size of the equivalence classes in this bucket.

equivalenceClassSizeUpperBound string

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_count str

Total number of distinct equivalence classes in this bucket.

bucket_values Sequence[GooglePrivacyDlpV2KAnonymityEquivalenceClassResponse]

Sample of equivalence classes in this bucket. The total number of classes returned per bucket is capped at 20.

equivalence_class_size_lower_bound str

Lower bound on the size of the equivalence classes in this bucket.

equivalence_class_size_upper_bound str

Upper bound on the size of the equivalence classes in this bucket.

bucketSize String

Total number of equivalence classes in this bucket.

bucketValueCount String

Total number of distinct equivalence classes in this bucket.

bucketValues List

Sample of equivalence classes in this bucket. The total number of classes returned per bucket is capped at 20.

equivalenceClassSizeLowerBound String

Lower bound on the size of the equivalence classes in this bucket.

equivalenceClassSizeUpperBound String

Upper bound on the size of the equivalence classes in this bucket.

GooglePrivacyDlpV2KAnonymityResultResponse

equivalenceClassHistogramBuckets List

Histogram of k-anonymity equivalence classes.

GooglePrivacyDlpV2KMapEstimationConfigResponse

AuxiliaryTables List<Pulumi.GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2AuxiliaryTableResponse>

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.

QuasiIds List<Pulumi.GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2TaggedFieldResponse>

Fields considered to be quasi-identifiers. No two columns can have the same tag.

RegionCode 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.

AuxiliaryTables []GooglePrivacyDlpV2AuxiliaryTableResponse

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.

QuasiIds []GooglePrivacyDlpV2TaggedFieldResponse

Fields considered to be quasi-identifiers. No two columns can have the same tag.

RegionCode 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.

auxiliaryTables ListPrivacyDlpV2AuxiliaryTableResponse>

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.

quasiIds ListPrivacyDlpV2TaggedFieldResponse>

Fields considered to be quasi-identifiers. No two columns can have the same tag.

regionCode 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.

auxiliaryTables GooglePrivacyDlpV2AuxiliaryTableResponse[]

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.

quasiIds GooglePrivacyDlpV2TaggedFieldResponse[]

Fields considered to be quasi-identifiers. No two columns can have the same tag.

regionCode 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[GooglePrivacyDlpV2AuxiliaryTableResponse]

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[GooglePrivacyDlpV2TaggedFieldResponse]

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.

auxiliaryTables List

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.

quasiIds List

Fields considered to be quasi-identifiers. No two columns can have the same tag.

regionCode 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

BucketSize string

Number of records within these anonymity bounds.

BucketValueCount string

Total number of distinct quasi-identifier tuple values in this bucket.

BucketValues List<Pulumi.GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2KMapEstimationQuasiIdValuesResponse>

Sample of quasi-identifier tuple values in this bucket. The total number of classes returned per bucket is capped at 20.

MaxAnonymity string

Always greater than or equal to min_anonymity.

MinAnonymity string

Always positive.

BucketSize string

Number of records within these anonymity bounds.

BucketValueCount string

Total number of distinct quasi-identifier tuple values in this bucket.

BucketValues []GooglePrivacyDlpV2KMapEstimationQuasiIdValuesResponse

Sample of quasi-identifier tuple values in this bucket. The total number of classes returned per bucket is capped at 20.

MaxAnonymity string

Always greater than or equal to min_anonymity.

MinAnonymity string

Always positive.

bucketSize String

Number of records within these anonymity bounds.

bucketValueCount String

Total number of distinct quasi-identifier tuple values in this bucket.

bucketValues ListPrivacyDlpV2KMapEstimationQuasiIdValuesResponse>

Sample of quasi-identifier tuple values in this bucket. The total number of classes returned per bucket is capped at 20.

maxAnonymity String

Always greater than or equal to min_anonymity.

minAnonymity String

Always positive.

bucketSize string

Number of records within these anonymity bounds.

bucketValueCount string

Total number of distinct quasi-identifier tuple values in this bucket.

bucketValues GooglePrivacyDlpV2KMapEstimationQuasiIdValuesResponse[]

Sample of quasi-identifier tuple values in this bucket. The total number of classes returned per bucket is capped at 20.

maxAnonymity string

Always greater than or equal to min_anonymity.

minAnonymity string

Always positive.

bucket_size str

Number of records within these anonymity bounds.

bucket_value_count str

Total number of distinct quasi-identifier tuple values in this bucket.

bucket_values Sequence[GooglePrivacyDlpV2KMapEstimationQuasiIdValuesResponse]

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.

bucketSize String

Number of records within these anonymity bounds.

bucketValueCount String

Total number of distinct quasi-identifier tuple values in this bucket.

bucketValues List

Sample of quasi-identifier tuple values in this bucket. The total number of classes returned per bucket is capped at 20.

maxAnonymity String

Always greater than or equal to min_anonymity.

minAnonymity String

Always positive.

GooglePrivacyDlpV2KMapEstimationQuasiIdValuesResponse

EstimatedAnonymity string

The estimated anonymity for these quasi-identifier values.

QuasiIdsValues List<Pulumi.GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2ValueResponse>

The quasi-identifier values.

EstimatedAnonymity string

The estimated anonymity for these quasi-identifier values.

QuasiIdsValues []GooglePrivacyDlpV2ValueResponse

The quasi-identifier values.

estimatedAnonymity String

The estimated anonymity for these quasi-identifier values.

quasiIdsValues ListPrivacyDlpV2ValueResponse>

The quasi-identifier values.

estimatedAnonymity string

The estimated anonymity for these quasi-identifier values.

quasiIdsValues GooglePrivacyDlpV2ValueResponse[]

The quasi-identifier values.

estimated_anonymity str

The estimated anonymity for these quasi-identifier values.

quasi_ids_values Sequence[GooglePrivacyDlpV2ValueResponse]

The quasi-identifier values.

estimatedAnonymity String

The estimated anonymity for these quasi-identifier values.

quasiIdsValues List

The quasi-identifier values.

GooglePrivacyDlpV2KMapEstimationResultResponse

KMapEstimationHistogram List<Pulumi.GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2KMapEstimationHistogramBucketResponse>

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.

KMapEstimationHistogram []GooglePrivacyDlpV2KMapEstimationHistogramBucketResponse

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.

kMapEstimationHistogram ListPrivacyDlpV2KMapEstimationHistogramBucketResponse>

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.

kMapEstimationHistogram GooglePrivacyDlpV2KMapEstimationHistogramBucketResponse[]

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_estimation_histogram Sequence[GooglePrivacyDlpV2KMapEstimationHistogramBucketResponse]

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.

kMapEstimationHistogram List

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.

GooglePrivacyDlpV2KindExpressionResponse

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.

GooglePrivacyDlpV2LDiversityConfigResponse

QuasiIds List<Pulumi.GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2FieldIdResponse>

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.

SensitiveAttribute Pulumi.GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2FieldIdResponse

Sensitive field for computing the l-value.

QuasiIds []GooglePrivacyDlpV2FieldIdResponse

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.

SensitiveAttribute GooglePrivacyDlpV2FieldIdResponse

Sensitive field for computing the l-value.

quasiIds ListPrivacyDlpV2FieldIdResponse>

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.

sensitiveAttribute GooglePrivacyDlpV2FieldIdResponse

Sensitive field for computing the l-value.

quasiIds GooglePrivacyDlpV2FieldIdResponse[]

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.

sensitiveAttribute GooglePrivacyDlpV2FieldIdResponse

Sensitive field for computing the l-value.

quasi_ids Sequence[GooglePrivacyDlpV2FieldIdResponse]

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 GooglePrivacyDlpV2FieldIdResponse

Sensitive field for computing the l-value.

quasiIds List

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.

sensitiveAttribute Property Map

Sensitive field for computing the l-value.

GooglePrivacyDlpV2LDiversityEquivalenceClassResponse

EquivalenceClassSize string

Size of the k-anonymity equivalence class.

NumDistinctSensitiveValues string

Number of distinct sensitive values in this equivalence class.

QuasiIdsValues List<Pulumi.GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2ValueResponse>

Quasi-identifier values defining the k-anonymity equivalence class. The order is always the same as the original request.

TopSensitiveValues List<Pulumi.GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2ValueFrequencyResponse>

Estimated frequencies of top sensitive values.

EquivalenceClassSize string

Size of the k-anonymity equivalence class.

NumDistinctSensitiveValues string

Number of distinct sensitive values in this equivalence class.

QuasiIdsValues []GooglePrivacyDlpV2ValueResponse

Quasi-identifier values defining the k-anonymity equivalence class. The order is always the same as the original request.

TopSensitiveValues []GooglePrivacyDlpV2ValueFrequencyResponse

Estimated frequencies of top sensitive values.

equivalenceClassSize String

Size of the k-anonymity equivalence class.

numDistinctSensitiveValues String

Number of distinct sensitive values in this equivalence class.

quasiIdsValues ListPrivacyDlpV2ValueResponse>

Quasi-identifier values defining the k-anonymity equivalence class. The order is always the same as the original request.

topSensitiveValues ListPrivacyDlpV2ValueFrequencyResponse>

Estimated frequencies of top sensitive values.

equivalenceClassSize string

Size of the k-anonymity equivalence class.

numDistinctSensitiveValues string

Number of distinct sensitive values in this equivalence class.

quasiIdsValues GooglePrivacyDlpV2ValueResponse[]

Quasi-identifier values defining the k-anonymity equivalence class. The order is always the same as the original request.

topSensitiveValues GooglePrivacyDlpV2ValueFrequencyResponse[]

Estimated frequencies of top sensitive values.

equivalence_class_size str

Size of the k-anonymity equivalence class.

num_distinct_sensitive_values str

Number of distinct sensitive values in this equivalence class.

quasi_ids_values Sequence[GooglePrivacyDlpV2ValueResponse]

Quasi-identifier values defining the k-anonymity equivalence class. The order is always the same as the original request.

top_sensitive_values Sequence[GooglePrivacyDlpV2ValueFrequencyResponse]

Estimated frequencies of top sensitive values.

equivalenceClassSize String

Size of the k-anonymity equivalence class.

numDistinctSensitiveValues String

Number of distinct sensitive values in this equivalence class.

quasiIdsValues List

Quasi-identifier values defining the k-anonymity equivalence class. The order is always the same as the original request.

topSensitiveValues List

Estimated frequencies of top sensitive values.

GooglePrivacyDlpV2LDiversityHistogramBucketResponse

BucketSize string

Total number of equivalence classes in this bucket.

BucketValueCount string

Total number of distinct equivalence classes in this bucket.

BucketValues List<Pulumi.GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2LDiversityEquivalenceClassResponse>

Sample of equivalence classes in this bucket. The total number of classes returned per bucket is capped at 20.

SensitiveValueFrequencyLowerBound string

Lower bound on the sensitive value frequencies of the equivalence classes in this bucket.

SensitiveValueFrequencyUpperBound string

Upper bound on the sensitive value frequencies of the equivalence classes in this bucket.

BucketSize string

Total number of equivalence classes in this bucket.

BucketValueCount string

Total number of distinct equivalence classes in this bucket.

BucketValues []GooglePrivacyDlpV2LDiversityEquivalenceClassResponse

Sample of equivalence classes in this bucket. The total number of classes returned per bucket is capped at 20.

SensitiveValueFrequencyLowerBound string

Lower bound on the sensitive value frequencies of the equivalence classes in this bucket.

SensitiveValueFrequencyUpperBound string

Upper bound on the sensitive value frequencies of the equivalence classes in this bucket.

bucketSize String

Total number of equivalence classes in this bucket.

bucketValueCount String

Total number of distinct equivalence classes in this bucket.

bucketValues ListPrivacyDlpV2LDiversityEquivalenceClassResponse>

Sample of equivalence classes in this bucket. The total number of classes returned per bucket is capped at 20.

sensitiveValueFrequencyLowerBound String

Lower bound on the sensitive value frequencies of the equivalence classes in this bucket.

sensitiveValueFrequencyUpperBound String

Upper bound on the sensitive value frequencies of the equivalence classes in this bucket.

bucketSize string

Total number of equivalence classes in this bucket.

bucketValueCount string

Total number of distinct equivalence classes in this bucket.

bucketValues GooglePrivacyDlpV2LDiversityEquivalenceClassResponse[]

Sample of equivalence classes in this bucket. The total number of classes returned per bucket is capped at 20.

sensitiveValueFrequencyLowerBound string

Lower bound on the sensitive value frequencies of the equivalence classes in this bucket.

sensitiveValueFrequencyUpperBound string

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_count str

Total number of distinct equivalence classes in this bucket.

bucket_values Sequence[GooglePrivacyDlpV2LDiversityEquivalenceClassResponse]

Sample of equivalence classes in this bucket. The total number of classes returned per bucket is capped at 20.

sensitive_value_frequency_lower_bound str

Lower bound on the sensitive value frequencies of the equivalence classes in this bucket.

sensitive_value_frequency_upper_bound str

Upper bound on the sensitive value frequencies of the equivalence classes in this bucket.

bucketSize String

Total number of equivalence classes in this bucket.

bucketValueCount String

Total number of distinct equivalence classes in this bucket.

bucketValues List

Sample of equivalence classes in this bucket. The total number of classes returned per bucket is capped at 20.

sensitiveValueFrequencyLowerBound String

Lower bound on the sensitive value frequencies of the equivalence classes in this bucket.

sensitiveValueFrequencyUpperBound String

Upper bound on the sensitive value frequencies of the equivalence classes in this bucket.

GooglePrivacyDlpV2LDiversityResultResponse

SensitiveValueFrequencyHistogramBuckets []GooglePrivacyDlpV2LDiversityHistogramBucketResponse

Histogram of l-diversity equivalence class sensitive value frequencies.

sensitiveValueFrequencyHistogramBuckets ListPrivacyDlpV2LDiversityHistogramBucketResponse>

Histogram of l-diversity equivalence class sensitive value frequencies.

sensitiveValueFrequencyHistogramBuckets GooglePrivacyDlpV2LDiversityHistogramBucketResponse[]

Histogram of l-diversity equivalence class sensitive value frequencies.

sensitive_value_frequency_histogram_buckets Sequence[GooglePrivacyDlpV2LDiversityHistogramBucketResponse]

Histogram of l-diversity equivalence class sensitive value frequencies.

sensitiveValueFrequencyHistogramBuckets List

Histogram of l-diversity equivalence class sensitive value frequencies.

GooglePrivacyDlpV2LikelihoodAdjustmentResponse

FixedLikelihood string

Set the likelihood of a finding to a fixed value.

RelativeLikelihood int

Increase or decrease the likelihood by the specified number of levels. For example, if a finding would be POSSIBLE without the detection rule and relative_likelihood is 1, then it is upgraded to LIKELY, while a value of -1 would downgrade it to UNLIKELY. Likelihood may never drop below VERY_UNLIKELY or exceed VERY_LIKELY, so applying an adjustment of 1 followed by an adjustment of -1 when base likelihood is VERY_LIKELY will result in a final likelihood of LIKELY.

FixedLikelihood string

Set the likelihood of a finding to a fixed value.

RelativeLikelihood int

Increase or decrease the likelihood by the specified number of levels. For example, if a finding would be POSSIBLE without the detection rule and relative_likelihood is 1, then it is upgraded to LIKELY, while a value of -1 would downgrade it to UNLIKELY. Likelihood may never drop below VERY_UNLIKELY or exceed VERY_LIKELY, so applying an adjustment of 1 followed by an adjustment of -1 when base likelihood is VERY_LIKELY will result in a final likelihood of LIKELY.

fixedLikelihood String

Set the likelihood of a finding to a fixed value.

relativeLikelihood Integer

Increase or decrease the likelihood by the specified number of levels. For example, if a finding would be POSSIBLE without the detection rule and relative_likelihood is 1, then it is upgraded to LIKELY, while a value of -1 would downgrade it to UNLIKELY. Likelihood may never drop below VERY_UNLIKELY or exceed VERY_LIKELY, so applying an adjustment of 1 followed by an adjustment of -1 when base likelihood is VERY_LIKELY will result in a final likelihood of LIKELY.

fixedLikelihood string

Set the likelihood of a finding to a fixed value.

relativeLikelihood number

Increase or decrease the likelihood by the specified number of levels. For example, if a finding would be POSSIBLE without the detection rule and relative_likelihood is 1, then it is upgraded to LIKELY, while a value of -1 would downgrade it to UNLIKELY. Likelihood may never drop below VERY_UNLIKELY or exceed VERY_LIKELY, so applying an adjustment of 1 followed by an adjustment of -1 when base likelihood is VERY_LIKELY will result in a final likelihood of LIKELY.

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 POSSIBLE without the detection rule and relative_likelihood is 1, then it is upgraded to LIKELY, while a value of -1 would downgrade it to UNLIKELY. Likelihood may never drop below VERY_UNLIKELY or exceed VERY_LIKELY, so applying an adjustment of 1 followed by an adjustment of -1 when base likelihood is VERY_LIKELY will result in a final likelihood of LIKELY.

fixedLikelihood String

Set the likelihood of a finding to a fixed value.

relativeLikelihood Number

Increase or decrease the likelihood by the specified number of levels. For example, if a finding would be POSSIBLE without the detection rule and relative_likelihood is 1, then it is upgraded to LIKELY, while a value of -1 would downgrade it to UNLIKELY. Likelihood may never drop below VERY_UNLIKELY or exceed VERY_LIKELY, so applying an adjustment of 1 followed by an adjustment of -1 when base likelihood is VERY_LIKELY will result in a final likelihood of LIKELY.

GooglePrivacyDlpV2NumericalStatsConfigResponse

Field Pulumi.GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2FieldIdResponse

Field to compute numerical stats on. Supported types are integer, float, date, datetime, timestamp, time.

Field GooglePrivacyDlpV2FieldIdResponse

Field to compute numerical stats on. Supported types are integer, float, date, datetime, timestamp, time.

field GooglePrivacyDlpV2FieldIdResponse

Field to compute numerical stats on. Supported types are integer, float, date, datetime, timestamp, time.

field GooglePrivacyDlpV2FieldIdResponse

Field to compute numerical stats on. Supported types are integer, float, date, datetime, timestamp, time.

field GooglePrivacyDlpV2FieldIdResponse

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

MaxValue Pulumi.GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2ValueResponse

Maximum value appearing in the column.

MinValue Pulumi.GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2ValueResponse

Minimum value appearing in the column.

QuantileValues List<Pulumi.GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2ValueResponse>

List of 99 values that partition the set of field values into 100 equal sized buckets.

MaxValue GooglePrivacyDlpV2ValueResponse

Maximum value appearing in the column.

MinValue GooglePrivacyDlpV2ValueResponse

Minimum value appearing in the column.

QuantileValues []GooglePrivacyDlpV2ValueResponse

List of 99 values that partition the set of field values into 100 equal sized buckets.

maxValue GooglePrivacyDlpV2ValueResponse

Maximum value appearing in the column.

minValue GooglePrivacyDlpV2ValueResponse

Minimum value appearing in the column.

quantileValues ListPrivacyDlpV2ValueResponse>

List of 99 values that partition the set of field values into 100 equal sized buckets.

maxValue GooglePrivacyDlpV2ValueResponse

Maximum value appearing in the column.

minValue GooglePrivacyDlpV2ValueResponse

Minimum value appearing in the column.

quantileValues GooglePrivacyDlpV2ValueResponse[]

List of 99 values that partition the set of field values into 100 equal sized buckets.

max_value GooglePrivacyDlpV2ValueResponse

Maximum value appearing in the column.

min_value GooglePrivacyDlpV2ValueResponse

Minimum value appearing in the column.

quantile_values Sequence[GooglePrivacyDlpV2ValueResponse]

List of 99 values that partition the set of field values into 100 equal sized buckets.

maxValue Property Map

Maximum value appearing in the column.

minValue Property Map

Minimum value appearing in the column.

quantileValues List

List of 99 values that partition the set of field values into 100 equal sized buckets.

GooglePrivacyDlpV2OutputStorageConfigResponse

OutputSchema 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 Finding object. 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.GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2BigQueryTableResponse

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 timezone 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 Finding object. 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.

OutputSchema 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 Finding object. 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 GooglePrivacyDlpV2BigQueryTableResponse

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 timezone 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 Finding object. 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.

outputSchema 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 Finding object. 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 GooglePrivacyDlpV2BigQueryTableResponse

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 timezone 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 Finding object. 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.

outputSchema 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 Finding object. 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 GooglePrivacyDlpV2BigQueryTableResponse

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 timezone 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 Finding object. 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 Finding object. 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 GooglePrivacyDlpV2BigQueryTableResponse

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 timezone 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 Finding object. 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.

outputSchema 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 Finding object. 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 timezone 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 Finding object. 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.

GooglePrivacyDlpV2PartitionIdResponse

NamespaceId 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.

NamespaceId 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.

namespaceId 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.

namespaceId 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.

namespaceId 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.

GooglePrivacyDlpV2PrivacyMetricResponse

GooglePrivacyDlpV2ProximityResponse

WindowAfter int

Number of characters after the finding to consider.

WindowBefore int

Number of characters before the finding to consider.

WindowAfter int

Number of characters after the finding to consider.

WindowBefore int

Number of characters before the finding to consider.

windowAfter Integer

Number of characters after the finding to consider.

windowBefore Integer

Number of characters before the finding to consider.

windowAfter number

Number of characters after the finding to consider.

windowBefore number

Number of characters before the finding to consider.

window_after int

Number of characters after the finding to consider.

window_before int

Number of characters before the finding to consider.

windowAfter Number

Number of characters after the finding to consider.

windowBefore Number

Number of characters before the finding to consider.

GooglePrivacyDlpV2PublishToPubSubResponse

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}.

GooglePrivacyDlpV2QuasiIdFieldResponse

CustomTag string

A auxiliary field.

Field GooglePrivacyDlpV2FieldIdResponse

Identifies the column.

customTag String

A auxiliary field.

field GooglePrivacyDlpV2FieldIdResponse

Identifies the column.

customTag string

A auxiliary field.

field GooglePrivacyDlpV2FieldIdResponse

Identifies the column.

custom_tag str

A auxiliary field.

field GooglePrivacyDlpV2FieldIdResponse

Identifies the column.

customTag String

A auxiliary field.

field Property Map

Identifies the column.

GooglePrivacyDlpV2QuasiIdResponse

CustomTag 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.GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2FieldIdResponse

Identifies the column.

Inferred Pulumi.GoogleNative.DLP.V2.Inputs.GoogleProtobufEmptyResponse

If no semantic tag is indicated, we infer the statistical model from the distribution of values in the input data

InfoType Pulumi.GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2InfoTypeResponse

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.

CustomTag 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 GooglePrivacyDlpV2FieldIdResponse

Identifies the column.

Inferred GoogleProtobufEmptyResponse

If no semantic tag is indicated, we infer the statistical model from the distribution of values in the input data

InfoType GooglePrivacyDlpV2InfoTypeResponse

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.

customTag 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 GooglePrivacyDlpV2FieldIdResponse

Identifies the column.

inferred GoogleProtobufEmptyResponse

If no semantic tag is indicated, we infer the statistical model from the distribution of values in the input data

infoType GooglePrivacyDlpV2InfoTypeResponse

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.

customTag 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 GooglePrivacyDlpV2FieldIdResponse

Identifies the column.

inferred GoogleProtobufEmptyResponse

If no semantic tag is indicated, we infer the statistical model from the distribution of values in the input data

infoType GooglePrivacyDlpV2InfoTypeResponse

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 GooglePrivacyDlpV2FieldIdResponse

Identifies the column.

inferred GoogleProtobufEmptyResponse

If no semantic tag is indicated, we infer the statistical model from the distribution of values in the input data

info_type GooglePrivacyDlpV2InfoTypeResponse

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.

customTag 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

infoType 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.

GooglePrivacyDlpV2QuasiIdentifierFieldResponse

CustomTag 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.GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2FieldIdResponse

Identifies the column.

CustomTag 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 GooglePrivacyDlpV2FieldIdResponse

Identifies the column.

customTag 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 GooglePrivacyDlpV2FieldIdResponse

Identifies the column.

customTag 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 GooglePrivacyDlpV2FieldIdResponse

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 GooglePrivacyDlpV2FieldIdResponse

Identifies the column.

customTag 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.

GooglePrivacyDlpV2RegexResponse

GroupIndexes 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.

GroupIndexes []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.

groupIndexes List

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.

groupIndexes 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.

groupIndexes List

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.

GooglePrivacyDlpV2RequestedOptionsResponse

JobConfig GooglePrivacyDlpV2InspectJobConfigResponse

Inspect config.

SnapshotInspectTemplate GooglePrivacyDlpV2InspectTemplateResponse

If run with an InspectTemplate, a snapshot of its state at the time of this run.

jobConfig GooglePrivacyDlpV2InspectJobConfigResponse

Inspect config.

snapshotInspectTemplate GooglePrivacyDlpV2InspectTemplateResponse

If run with an InspectTemplate, a snapshot of its state at the time of this run.

jobConfig GooglePrivacyDlpV2InspectJobConfigResponse

Inspect config.

snapshotInspectTemplate GooglePrivacyDlpV2InspectTemplateResponse

If run with an InspectTemplate, a snapshot of its state at the time of this run.

job_config GooglePrivacyDlpV2InspectJobConfigResponse

Inspect config.

snapshot_inspect_template GooglePrivacyDlpV2InspectTemplateResponse

If run with an InspectTemplate, a snapshot of its state at the time of this run.

jobConfig Property Map

Inspect config.

snapshotInspectTemplate Property Map

If run with an InspectTemplate, a snapshot of its state at the time of this run.

GooglePrivacyDlpV2RequestedRiskAnalysisOptionsResponse

jobConfig Property Map

The job config for the risk job.

GooglePrivacyDlpV2ResultResponse

HybridStats Pulumi.GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2HybridInspectStatisticsResponse

Statistics related to the processing of hybrid inspect.

InfoTypeStats List<Pulumi.GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2InfoTypeStatsResponse>

Statistics of how many instances of each info type were found during inspect job.

ProcessedBytes string

Total size in bytes that were processed.

TotalEstimatedBytes string

Estimate of the number of bytes to process.

HybridStats GooglePrivacyDlpV2HybridInspectStatisticsResponse

Statistics related to the processing of hybrid inspect.

InfoTypeStats []GooglePrivacyDlpV2InfoTypeStatsResponse

Statistics of how many instances of each info type were found during inspect job.

ProcessedBytes string

Total size in bytes that were processed.

TotalEstimatedBytes string

Estimate of the number of bytes to process.

hybridStats GooglePrivacyDlpV2HybridInspectStatisticsResponse

Statistics related to the processing of hybrid inspect.

infoTypeStats ListPrivacyDlpV2InfoTypeStatsResponse>

Statistics of how many instances of each info type were found during inspect job.

processedBytes String

Total size in bytes that were processed.

totalEstimatedBytes String

Estimate of the number of bytes to process.

hybridStats GooglePrivacyDlpV2HybridInspectStatisticsResponse

Statistics related to the processing of hybrid inspect.

infoTypeStats GooglePrivacyDlpV2InfoTypeStatsResponse[]

Statistics of how many instances of each info type were found during inspect job.

processedBytes string

Total size in bytes that were processed.

totalEstimatedBytes string

Estimate of the number of bytes to process.

hybrid_stats GooglePrivacyDlpV2HybridInspectStatisticsResponse

Statistics related to the processing of hybrid inspect.

info_type_stats Sequence[GooglePrivacyDlpV2InfoTypeStatsResponse]

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_bytes str

Estimate of the number of bytes to process.

hybridStats Property Map

Statistics related to the processing of hybrid inspect.

infoTypeStats List

Statistics of how many instances of each info type were found during inspect job.

processedBytes String

Total size in bytes that were processed.

totalEstimatedBytes String

Estimate of the number of bytes to process.

GooglePrivacyDlpV2RiskAnalysisJobConfigResponse

Actions []GooglePrivacyDlpV2ActionResponse

Actions to execute at the completion of the job. Are executed in the order provided.

PrivacyMetric GooglePrivacyDlpV2PrivacyMetricResponse

Privacy metric to compute.

SourceTable GooglePrivacyDlpV2BigQueryTableResponse

Input dataset to compute metrics over.

actions ListPrivacyDlpV2ActionResponse>

Actions to execute at the completion of the job. Are executed in the order provided.

privacyMetric GooglePrivacyDlpV2PrivacyMetricResponse

Privacy metric to compute.

sourceTable GooglePrivacyDlpV2BigQueryTableResponse

Input dataset to compute metrics over.

actions GooglePrivacyDlpV2ActionResponse[]

Actions to execute at the completion of the job. Are executed in the order provided.

privacyMetric GooglePrivacyDlpV2PrivacyMetricResponse

Privacy metric to compute.

sourceTable GooglePrivacyDlpV2BigQueryTableResponse

Input dataset to compute metrics over.

actions Sequence[GooglePrivacyDlpV2ActionResponse]

Actions to execute at the completion of the job. Are executed in the order provided.

privacy_metric GooglePrivacyDlpV2PrivacyMetricResponse

Privacy metric to compute.

source_table GooglePrivacyDlpV2BigQueryTableResponse

Input dataset to compute metrics over.

actions List

Actions to execute at the completion of the job. Are executed in the order provided.

privacyMetric Property Map

Privacy metric to compute.

sourceTable Property Map

Input dataset to compute metrics over.

GooglePrivacyDlpV2SaveFindingsResponse

OutputConfig GooglePrivacyDlpV2OutputStorageConfigResponse

Location to store findings outside of DLP.

outputConfig GooglePrivacyDlpV2OutputStorageConfigResponse

Location to store findings outside of DLP.

outputConfig GooglePrivacyDlpV2OutputStorageConfigResponse

Location to store findings outside of DLP.

output_config GooglePrivacyDlpV2OutputStorageConfigResponse

Location to store findings outside of DLP.

outputConfig Property Map

Location to store findings outside of DLP.

GooglePrivacyDlpV2StatisticalTableResponse

QuasiIds List<Pulumi.GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2QuasiIdentifierFieldResponse>

Quasi-identifier columns.

RelativeFrequency Pulumi.GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2FieldIdResponse

The relative frequency column must contain a floating-point number between 0 and 1 (inclusive). Null values are assumed to be zero.

Table Pulumi.GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2BigQueryTableResponse

Auxiliary table location.

QuasiIds []GooglePrivacyDlpV2QuasiIdentifierFieldResponse

Quasi-identifier columns.

RelativeFrequency GooglePrivacyDlpV2FieldIdResponse

The relative frequency column must contain a floating-point number between 0 and 1 (inclusive). Null values are assumed to be zero.

Table GooglePrivacyDlpV2BigQueryTableResponse

Auxiliary table location.

quasiIds ListPrivacyDlpV2QuasiIdentifierFieldResponse>

Quasi-identifier columns.

relativeFrequency GooglePrivacyDlpV2FieldIdResponse

The relative frequency column must contain a floating-point number between 0 and 1 (inclusive). Null values are assumed to be zero.

table GooglePrivacyDlpV2BigQueryTableResponse

Auxiliary table location.

quasiIds GooglePrivacyDlpV2QuasiIdentifierFieldResponse[]

Quasi-identifier columns.

relativeFrequency GooglePrivacyDlpV2FieldIdResponse

The relative frequency column must contain a floating-point number between 0 and 1 (inclusive). Null values are assumed to be zero.

table GooglePrivacyDlpV2BigQueryTableResponse

Auxiliary table location.

quasi_ids Sequence[GooglePrivacyDlpV2QuasiIdentifierFieldResponse]

Quasi-identifier columns.

relative_frequency GooglePrivacyDlpV2FieldIdResponse

The relative frequency column must contain a floating-point number between 0 and 1 (inclusive). Null values are assumed to be zero.

table GooglePrivacyDlpV2BigQueryTableResponse

Auxiliary table location.

quasiIds List

Quasi-identifier columns.

relativeFrequency 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.

GooglePrivacyDlpV2StorageConfigResponse

bigQueryOptions Property Map

BigQuery options.

cloudStorageOptions Property Map

Google Cloud Storage options.

datastoreOptions Property Map

Google Cloud Datastore options.

hybridOptions Property Map

Hybrid inspection options.

timespanConfig Property Map

GooglePrivacyDlpV2StoredTypeResponse

CreateTime string

Timestamp indicating when the version of the StoredInfoType used for inspection was created. Output-only field, populated by the system.

Name string

Resource name of the requested StoredInfoType, for example organizations/433245324/storedInfoTypes/432452342 or projects/project-id/storedInfoTypes/432452342.

CreateTime string

Timestamp indicating when the version of the StoredInfoType used for inspection was created. Output-only field, populated by the system.

Name string

Resource name of the requested StoredInfoType, for example organizations/433245324/storedInfoTypes/432452342 or projects/project-id/storedInfoTypes/432452342.

createTime String

Timestamp indicating when the version of the StoredInfoType used for inspection was created. Output-only field, populated by the system.

name String

Resource name of the requested StoredInfoType, for example organizations/433245324/storedInfoTypes/432452342 or projects/project-id/storedInfoTypes/432452342.

createTime string

Timestamp indicating when the version of the StoredInfoType used for inspection was created. Output-only field, populated by the system.

name string

Resource name of the requested StoredInfoType, for example organizations/433245324/storedInfoTypes/432452342 or projects/project-id/storedInfoTypes/432452342.

create_time str

Timestamp indicating when the version of the StoredInfoType used for inspection was created. Output-only field, populated by the system.

name str

Resource name of the requested StoredInfoType, for example organizations/433245324/storedInfoTypes/432452342 or projects/project-id/storedInfoTypes/432452342.

createTime String

Timestamp indicating when the version of the StoredInfoType used for inspection was created. Output-only field, populated by the system.

name String

Resource name of the requested StoredInfoType, for example organizations/433245324/storedInfoTypes/432452342 or projects/project-id/storedInfoTypes/432452342.

GooglePrivacyDlpV2TableOptionsResponse

IdentifyingFields List<Pulumi.GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2FieldIdResponse>

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.

IdentifyingFields []GooglePrivacyDlpV2FieldIdResponse

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.

identifyingFields ListPrivacyDlpV2FieldIdResponse>

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.

identifyingFields GooglePrivacyDlpV2FieldIdResponse[]

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[GooglePrivacyDlpV2FieldIdResponse]

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.

identifyingFields List

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.

GooglePrivacyDlpV2TaggedFieldResponse

CustomTag 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.GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2FieldIdResponse

Identifies the column.

Inferred Pulumi.GoogleNative.DLP.V2.Inputs.GoogleProtobufEmptyResponse

If no semantic tag is indicated, we infer the statistical model from the distribution of values in the input data

InfoType Pulumi.GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2InfoTypeResponse

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.

CustomTag 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 GooglePrivacyDlpV2FieldIdResponse

Identifies the column.

Inferred GoogleProtobufEmptyResponse

If no semantic tag is indicated, we infer the statistical model from the distribution of values in the input data

InfoType GooglePrivacyDlpV2InfoTypeResponse

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.

customTag 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 GooglePrivacyDlpV2FieldIdResponse

Identifies the column.

inferred GoogleProtobufEmptyResponse

If no semantic tag is indicated, we infer the statistical model from the distribution of values in the input data

infoType GooglePrivacyDlpV2InfoTypeResponse

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.

customTag 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 GooglePrivacyDlpV2FieldIdResponse

Identifies the column.

inferred GoogleProtobufEmptyResponse

If no semantic tag is indicated, we infer the statistical model from the distribution of values in the input data

infoType GooglePrivacyDlpV2InfoTypeResponse

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 GooglePrivacyDlpV2FieldIdResponse

Identifies the column.

inferred GoogleProtobufEmptyResponse

If no semantic tag is indicated, we infer the statistical model from the distribution of values in the input data

info_type GooglePrivacyDlpV2InfoTypeResponse

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.

customTag 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

infoType 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.

GooglePrivacyDlpV2TimespanConfigResponse

EnableAutoPopulationOfTimespanConfig bool

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.

EndTime string

Exclude files, tables, or rows newer than this value. If not set, no upper time limit is applied.

StartTime string

Exclude files, tables, or rows older than this value. If not set, no lower time limit is applied.

TimestampField Pulumi.GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2FieldIdResponse

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 NULL value in the provided BigQuery column are skipped. Valid data types of the provided BigQuery column are: INTEGER, DATE, TIMESTAMP, and DATETIME. 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.

EnableAutoPopulationOfTimespanConfig bool

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.

EndTime string

Exclude files, tables, or rows newer than this value. If not set, no upper time limit is applied.

StartTime string

Exclude files, tables, or rows older than this value. If not set, no lower time limit is applied.

TimestampField GooglePrivacyDlpV2FieldIdResponse

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 NULL value in the provided BigQuery column are skipped. Valid data types of the provided BigQuery column are: INTEGER, DATE, TIMESTAMP, and DATETIME. 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.

enableAutoPopulationOfTimespanConfig Boolean

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.

endTime String

Exclude files, tables, or rows newer than this value. If not set, no upper time limit is applied.

startTime String

Exclude files, tables, or rows older than this value. If not set, no lower time limit is applied.

timestampField GooglePrivacyDlpV2FieldIdResponse

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 NULL value in the provided BigQuery column are skipped. Valid data types of the provided BigQuery column are: INTEGER, DATE, TIMESTAMP, and DATETIME. 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.

enableAutoPopulationOfTimespanConfig boolean

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.

endTime string

Exclude files, tables, or rows newer than this value. If not set, no upper time limit is applied.

startTime string

Exclude files, tables, or rows older than this value. If not set, no lower time limit is applied.

timestampField GooglePrivacyDlpV2FieldIdResponse

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 NULL value in the provided BigQuery column are skipped. Valid data types of the provided BigQuery column are: INTEGER, DATE, TIMESTAMP, and DATETIME. 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.

enable_auto_population_of_timespan_config bool

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.

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 GooglePrivacyDlpV2FieldIdResponse

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 NULL value in the provided BigQuery column are skipped. Valid data types of the provided BigQuery column are: INTEGER, DATE, TIMESTAMP, and DATETIME. 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.

enableAutoPopulationOfTimespanConfig Boolean

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.

endTime String

Exclude files, tables, or rows newer than this value. If not set, no upper time limit is applied.

startTime String

Exclude files, tables, or rows older than this value. If not set, no lower time limit is applied.

timestampField 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 NULL value in the provided BigQuery column are skipped. Valid data types of the provided BigQuery column are: INTEGER, DATE, TIMESTAMP, and DATETIME. 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.

GooglePrivacyDlpV2ValueFrequencyResponse

Count string

How many times the value is contained in the field.

Value Pulumi.GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2ValueResponse

A value contained in the field in question.

Count string

How many times the value is contained in the field.

Value GooglePrivacyDlpV2ValueResponse

A value contained in the field in question.

count String

How many times the value is contained in the field.

value GooglePrivacyDlpV2ValueResponse

A value contained in the field in question.

count string

How many times the value is contained in the field.

value GooglePrivacyDlpV2ValueResponse

A value contained in the field in question.

count str

How many times the value is contained in the field.

value GooglePrivacyDlpV2ValueResponse

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

BooleanValue bool

boolean

DateValue GoogleTypeDateResponse

date

DayOfWeekValue string

day of week

FloatValue float64

float

IntegerValue string

integer

StringValue string

string

TimeValue GoogleTypeTimeOfDayResponse

time of day

TimestampValue string

timestamp

booleanValue Boolean

boolean

dateValue GoogleTypeDateResponse

date

dayOfWeekValue String

day of week

floatValue Double

float

integerValue String

integer

stringValue String

string

timeValue GoogleTypeTimeOfDayResponse

time of day

timestampValue String

timestamp

booleanValue boolean

boolean

dateValue GoogleTypeDateResponse

date

dayOfWeekValue string

day of week

floatValue number

float

integerValue string

integer

stringValue string

string

timeValue GoogleTypeTimeOfDayResponse

time of day

timestampValue string

timestamp

booleanValue Boolean

boolean

dateValue Property Map

date

dayOfWeekValue String

day of week

floatValue Number

float

integerValue String

integer

stringValue String

string

timeValue Property Map

time of day

timestampValue String

timestamp

GooglePrivacyDlpV2WordListResponse

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

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

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

Code int

The status code, which should be an enum value of google.rpc.Code.

Details List<ImmutableDictionary<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>

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>

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

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

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
https://github.com/pulumi/pulumi-google-native
License
Apache-2.0