Google Cloud Native v0.28.0, Feb 2 23

google-native.dataplex/v1.getDataScan

Gets a DataScan resource.

Using getDataScan

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 getDataScan(args: GetDataScanArgs, opts?: InvokeOptions): Promise<GetDataScanResult>
function getDataScanOutput(args: GetDataScanOutputArgs, opts?: InvokeOptions): Output<GetDataScanResult>

def get_data_scan(data_scan_id: Optional[str] = None,
                  location: Optional[str] = None,
                  project: Optional[str] = None,
                  view: Optional[str] = None,
                  opts: Optional[InvokeOptions] = None) -> GetDataScanResult
def get_data_scan_output(data_scan_id: Optional[pulumi.Input[str]] = None,
                  location: Optional[pulumi.Input[str]] = None,
                  project: Optional[pulumi.Input[str]] = None,
                  view: Optional[pulumi.Input[str]] = None,
                  opts: Optional[InvokeOptions] = None) -> Output[GetDataScanResult]

func LookupDataScan(ctx *Context, args *LookupDataScanArgs, opts ...InvokeOption) (*LookupDataScanResult, error)
func LookupDataScanOutput(ctx *Context, args *LookupDataScanOutputArgs, opts ...InvokeOption) LookupDataScanResultOutput

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

public static class GetDataScan 
{
    public static Task<GetDataScanResult> InvokeAsync(GetDataScanArgs args, InvokeOptions? opts = null)
    public static Output<GetDataScanResult> Invoke(GetDataScanInvokeArgs args, InvokeOptions? opts = null)
}

public static CompletableFuture<GetDataScanResult> getDataScan(GetDataScanArgs args, InvokeOptions options)
// Output-based functions aren't available in Java yet

fn::invoke:
  function: google-native:dataplex/v1:getDataScan
  arguments:
    # arguments dictionary

The following arguments are supported:

DataScanId string
Location string
Project string
View string

DataScanId string
Location string
Project string
View string

dataScanId String
location String
project String
view String

dataScanId string
location string
project string
view string

data_scan_id str
location str
project str
view str

dataScanId String
location String
project String
view String

getDataScan Result

The following output properties are available:

CreateTime string: The time when the scan was created.
Data Pulumi.GoogleNative.Dataplex.V1.Outputs.GoogleCloudDataplexV1DataSourceResponse: The data source for DataScan.
DataProfileResult Pulumi.GoogleNative.Dataplex.V1.Outputs.GoogleCloudDataplexV1DataProfileResultResponse: The result of the data profile scan.
DataProfileSpec Pulumi.GoogleNative.Dataplex.V1.Outputs.GoogleCloudDataplexV1DataProfileSpecResponse: DataProfileScan related setting.
DataQualityResult Pulumi.GoogleNative.Dataplex.V1.Outputs.GoogleCloudDataplexV1DataQualityResultResponse: The result of the data quality scan.
DataQualitySpec Pulumi.GoogleNative.Dataplex.V1.Outputs.GoogleCloudDataplexV1DataQualitySpecResponse: DataQualityScan related setting.
Description string: Optional. Description of the scan. Must be between 1-1024 characters.
DisplayName string: Optional. User friendly display name. Must be between 1-256 characters.
ExecutionSpec Pulumi.GoogleNative.Dataplex.V1.Outputs.GoogleCloudDataplexV1DataScanExecutionSpecResponse: Optional. DataScan execution settings.If not specified, the fields in it will use their default values.
ExecutionStatus Pulumi.GoogleNative.Dataplex.V1.Outputs.GoogleCloudDataplexV1DataScanExecutionStatusResponse: Status of the data scan execution.
Labels Dictionary<string, string>: Optional. User-defined labels for the scan.
Name string: The relative resource name of the scan, of the form: projects/{project}/locations/{location_id}/dataScans/{datascan_id}, where project refers to a project_id or project_number and location_id refers to a GCP region.
State string: Current state of the DataScan.
Type string: The type of DataScan.
Uid string: System generated globally unique ID for the scan. This ID will be different if the scan is deleted and re-created with the same name.
UpdateTime string: The time when the scan was last updated.

CreateTime string: The time when the scan was created.
Data GoogleCloudDataplexV1DataSourceResponse: The data source for DataScan.
DataProfileResult GoogleCloudDataplexV1DataProfileResultResponse: The result of the data profile scan.
DataProfileSpec GoogleCloudDataplexV1DataProfileSpecResponse: DataProfileScan related setting.
DataQualityResult GoogleCloudDataplexV1DataQualityResultResponse: The result of the data quality scan.
DataQualitySpec GoogleCloudDataplexV1DataQualitySpecResponse: DataQualityScan related setting.
Description string: Optional. Description of the scan. Must be between 1-1024 characters.
DisplayName string: Optional. User friendly display name. Must be between 1-256 characters.
ExecutionSpec GoogleCloudDataplexV1DataScanExecutionSpecResponse: Optional. DataScan execution settings.If not specified, the fields in it will use their default values.
ExecutionStatus GoogleCloudDataplexV1DataScanExecutionStatusResponse: Status of the data scan execution.
Labels map[string]string: Optional. User-defined labels for the scan.
Name string: The relative resource name of the scan, of the form: projects/{project}/locations/{location_id}/dataScans/{datascan_id}, where project refers to a project_id or project_number and location_id refers to a GCP region.
State string: Current state of the DataScan.
Type string: The type of DataScan.
Uid string: System generated globally unique ID for the scan. This ID will be different if the scan is deleted and re-created with the same name.
UpdateTime string: The time when the scan was last updated.

createTime String: The time when the scan was created.
data GoogleCloudDataplexV1DataSourceResponse: The data source for DataScan.
dataProfileResult GoogleCloudDataplexV1DataProfileResultResponse: The result of the data profile scan.
dataProfileSpec GoogleCloudDataplexV1DataProfileSpecResponse: DataProfileScan related setting.
dataQualityResult GoogleCloudDataplexV1DataQualityResultResponse: The result of the data quality scan.
dataQualitySpec GoogleCloudDataplexV1DataQualitySpecResponse: DataQualityScan related setting.
description String: Optional. Description of the scan. Must be between 1-1024 characters.
displayName String: Optional. User friendly display name. Must be between 1-256 characters.
executionSpec GoogleCloudDataplexV1DataScanExecutionSpecResponse: Optional. DataScan execution settings.If not specified, the fields in it will use their default values.
executionStatus GoogleCloudDataplexV1DataScanExecutionStatusResponse: Status of the data scan execution.
labels Map<String,String>: Optional. User-defined labels for the scan.
name String: The relative resource name of the scan, of the form: projects/{project}/locations/{location_id}/dataScans/{datascan_id}, where project refers to a project_id or project_number and location_id refers to a GCP region.
state String: Current state of the DataScan.
type String: The type of DataScan.
uid String: System generated globally unique ID for the scan. This ID will be different if the scan is deleted and re-created with the same name.
updateTime String: The time when the scan was last updated.

createTime string: The time when the scan was created.
data GoogleCloudDataplexV1DataSourceResponse: The data source for DataScan.
dataProfileResult GoogleCloudDataplexV1DataProfileResultResponse: The result of the data profile scan.
dataProfileSpec GoogleCloudDataplexV1DataProfileSpecResponse: DataProfileScan related setting.
dataQualityResult GoogleCloudDataplexV1DataQualityResultResponse: The result of the data quality scan.
dataQualitySpec GoogleCloudDataplexV1DataQualitySpecResponse: DataQualityScan related setting.
description string: Optional. Description of the scan. Must be between 1-1024 characters.
displayName string: Optional. User friendly display name. Must be between 1-256 characters.
executionSpec GoogleCloudDataplexV1DataScanExecutionSpecResponse: Optional. DataScan execution settings.If not specified, the fields in it will use their default values.
executionStatus GoogleCloudDataplexV1DataScanExecutionStatusResponse: Status of the data scan execution.
labels {[key: string]: string}: Optional. User-defined labels for the scan.
name string: The relative resource name of the scan, of the form: projects/{project}/locations/{location_id}/dataScans/{datascan_id}, where project refers to a project_id or project_number and location_id refers to a GCP region.
state string: Current state of the DataScan.
type string: The type of DataScan.
uid string: System generated globally unique ID for the scan. This ID will be different if the scan is deleted and re-created with the same name.
updateTime string: The time when the scan was last updated.

create_time str: The time when the scan was created.
data GoogleCloudDataplexV1DataSourceResponse: The data source for DataScan.
data_profile_result GoogleCloudDataplexV1DataProfileResultResponse: The result of the data profile scan.
data_profile_spec GoogleCloudDataplexV1DataProfileSpecResponse: DataProfileScan related setting.
data_quality_result GoogleCloudDataplexV1DataQualityResultResponse: The result of the data quality scan.
data_quality_spec GoogleCloudDataplexV1DataQualitySpecResponse: DataQualityScan related setting.
description str: Optional. Description of the scan. Must be between 1-1024 characters.
display_name str: Optional. User friendly display name. Must be between 1-256 characters.
execution_spec GoogleCloudDataplexV1DataScanExecutionSpecResponse: Optional. DataScan execution settings.If not specified, the fields in it will use their default values.
execution_status GoogleCloudDataplexV1DataScanExecutionStatusResponse: Status of the data scan execution.
labels Mapping[str, str]: Optional. User-defined labels for the scan.
name str: The relative resource name of the scan, of the form: projects/{project}/locations/{location_id}/dataScans/{datascan_id}, where project refers to a project_id or project_number and location_id refers to a GCP region.
state str: Current state of the DataScan.
type str: The type of DataScan.
uid str: System generated globally unique ID for the scan. This ID will be different if the scan is deleted and re-created with the same name.
update_time str: The time when the scan was last updated.

createTime String: The time when the scan was created.
data Property Map: The data source for DataScan.
dataProfileResult Property Map: The result of the data profile scan.
dataProfileSpec Property Map: DataProfileScan related setting.
dataQualityResult Property Map: The result of the data quality scan.
dataQualitySpec Property Map: DataQualityScan related setting.
description String: Optional. Description of the scan. Must be between 1-1024 characters.
displayName String: Optional. User friendly display name. Must be between 1-256 characters.
executionSpec Property Map: Optional. DataScan execution settings.If not specified, the fields in it will use their default values.
executionStatus Property Map: Status of the data scan execution.
labels Map<String>: Optional. User-defined labels for the scan.
name String: The relative resource name of the scan, of the form: projects/{project}/locations/{location_id}/dataScans/{datascan_id}, where project refers to a project_id or project_number and location_id refers to a GCP region.
state String: Current state of the DataScan.
type String: The type of DataScan.
uid String: System generated globally unique ID for the scan. This ID will be different if the scan is deleted and re-created with the same name.
updateTime String: The time when the scan was last updated.

Supporting Types

GoogleCloudDataplexV1DataProfileResultProfileFieldProfileInfoDoubleFieldInfoResponse

Average double: Average of non-null values in the scanned data. NaN, if the field has a NaN.
Max double: Maximum of non-null values in the scanned data. NaN, if the field has a NaN.
Min double: Minimum of non-null values in the scanned data. NaN, if the field has a NaN.
Quartiles List<double>: A quartile divides the number of data points into four parts, or quarters, of more-or-less equal size. Three main quartiles used are: The first quartile (Q1) splits off the lowest 25% of data from the highest 75%. It is also known as the lower or 25th empirical quartile, as 25% of the data is below this point. The second quartile (Q2) is the median of a data set. So, 50% of the data lies below this point. The third quartile (Q3) splits off the highest 25% of data from the lowest 75%. It is known as the upper or 75th empirical quartile, as 75% of the data lies below this point. Here, the quartiles is provided as an ordered list of quartile values for the scanned data, occurring in order Q1, median, Q3.
StandardDeviation double: Standard deviation of non-null values in the scanned data. NaN, if the field has a NaN.

Average float64: Average of non-null values in the scanned data. NaN, if the field has a NaN.
Max float64: Maximum of non-null values in the scanned data. NaN, if the field has a NaN.
Min float64: Minimum of non-null values in the scanned data. NaN, if the field has a NaN.
Quartiles []float64: A quartile divides the number of data points into four parts, or quarters, of more-or-less equal size. Three main quartiles used are: The first quartile (Q1) splits off the lowest 25% of data from the highest 75%. It is also known as the lower or 25th empirical quartile, as 25% of the data is below this point. The second quartile (Q2) is the median of a data set. So, 50% of the data lies below this point. The third quartile (Q3) splits off the highest 25% of data from the lowest 75%. It is known as the upper or 75th empirical quartile, as 75% of the data lies below this point. Here, the quartiles is provided as an ordered list of quartile values for the scanned data, occurring in order Q1, median, Q3.
StandardDeviation float64: Standard deviation of non-null values in the scanned data. NaN, if the field has a NaN.

average Double: Average of non-null values in the scanned data. NaN, if the field has a NaN.
max Double: Maximum of non-null values in the scanned data. NaN, if the field has a NaN.
min Double: Minimum of non-null values in the scanned data. NaN, if the field has a NaN.
quartiles List<Double>: A quartile divides the number of data points into four parts, or quarters, of more-or-less equal size. Three main quartiles used are: The first quartile (Q1) splits off the lowest 25% of data from the highest 75%. It is also known as the lower or 25th empirical quartile, as 25% of the data is below this point. The second quartile (Q2) is the median of a data set. So, 50% of the data lies below this point. The third quartile (Q3) splits off the highest 25% of data from the lowest 75%. It is known as the upper or 75th empirical quartile, as 75% of the data lies below this point. Here, the quartiles is provided as an ordered list of quartile values for the scanned data, occurring in order Q1, median, Q3.
standardDeviation Double: Standard deviation of non-null values in the scanned data. NaN, if the field has a NaN.

average number: Average of non-null values in the scanned data. NaN, if the field has a NaN.
max number: Maximum of non-null values in the scanned data. NaN, if the field has a NaN.
min number: Minimum of non-null values in the scanned data. NaN, if the field has a NaN.
quartiles number[]: A quartile divides the number of data points into four parts, or quarters, of more-or-less equal size. Three main quartiles used are: The first quartile (Q1) splits off the lowest 25% of data from the highest 75%. It is also known as the lower or 25th empirical quartile, as 25% of the data is below this point. The second quartile (Q2) is the median of a data set. So, 50% of the data lies below this point. The third quartile (Q3) splits off the highest 25% of data from the lowest 75%. It is known as the upper or 75th empirical quartile, as 75% of the data lies below this point. Here, the quartiles is provided as an ordered list of quartile values for the scanned data, occurring in order Q1, median, Q3.
standardDeviation number: Standard deviation of non-null values in the scanned data. NaN, if the field has a NaN.

average float: Average of non-null values in the scanned data. NaN, if the field has a NaN.
max float: Maximum of non-null values in the scanned data. NaN, if the field has a NaN.
min float: Minimum of non-null values in the scanned data. NaN, if the field has a NaN.
quartiles Sequence[float]: A quartile divides the number of data points into four parts, or quarters, of more-or-less equal size. Three main quartiles used are: The first quartile (Q1) splits off the lowest 25% of data from the highest 75%. It is also known as the lower or 25th empirical quartile, as 25% of the data is below this point. The second quartile (Q2) is the median of a data set. So, 50% of the data lies below this point. The third quartile (Q3) splits off the highest 25% of data from the lowest 75%. It is known as the upper or 75th empirical quartile, as 75% of the data lies below this point. Here, the quartiles is provided as an ordered list of quartile values for the scanned data, occurring in order Q1, median, Q3.
standard_deviation float: Standard deviation of non-null values in the scanned data. NaN, if the field has a NaN.

average Number: Average of non-null values in the scanned data. NaN, if the field has a NaN.
max Number: Maximum of non-null values in the scanned data. NaN, if the field has a NaN.
min Number: Minimum of non-null values in the scanned data. NaN, if the field has a NaN.
quartiles List<Number>: A quartile divides the number of data points into four parts, or quarters, of more-or-less equal size. Three main quartiles used are: The first quartile (Q1) splits off the lowest 25% of data from the highest 75%. It is also known as the lower or 25th empirical quartile, as 25% of the data is below this point. The second quartile (Q2) is the median of a data set. So, 50% of the data lies below this point. The third quartile (Q3) splits off the highest 25% of data from the lowest 75%. It is known as the upper or 75th empirical quartile, as 75% of the data lies below this point. Here, the quartiles is provided as an ordered list of quartile values for the scanned data, occurring in order Q1, median, Q3.
standardDeviation Number: Standard deviation of non-null values in the scanned data. NaN, if the field has a NaN.

GoogleCloudDataplexV1DataProfileResultProfileFieldProfileInfoIntegerFieldInfoResponse

Average double: Average of non-null values in the scanned data. NaN, if the field has a NaN.
Max string: Maximum of non-null values in the scanned data. NaN, if the field has a NaN.
Min string: Minimum of non-null values in the scanned data. NaN, if the field has a NaN.
Quartiles List<string>: A quartile divides the number of data points into four parts, or quarters, of more-or-less equal size. Three main quartiles used are: The first quartile (Q1) splits off the lowest 25% of data from the highest 75%. It is also known as the lower or 25th empirical quartile, as 25% of the data is below this point. The second quartile (Q2) is the median of a data set. So, 50% of the data lies below this point. The third quartile (Q3) splits off the highest 25% of data from the lowest 75%. It is known as the upper or 75th empirical quartile, as 75% of the data lies below this point. Here, the quartiles is provided as an ordered list of quartile values for the scanned data, occurring in order Q1, median, Q3.
StandardDeviation double: Standard deviation of non-null values in the scanned data. NaN, if the field has a NaN.

Average float64: Average of non-null values in the scanned data. NaN, if the field has a NaN.
Max string: Maximum of non-null values in the scanned data. NaN, if the field has a NaN.
Min string: Minimum of non-null values in the scanned data. NaN, if the field has a NaN.
Quartiles []string: A quartile divides the number of data points into four parts, or quarters, of more-or-less equal size. Three main quartiles used are: The first quartile (Q1) splits off the lowest 25% of data from the highest 75%. It is also known as the lower or 25th empirical quartile, as 25% of the data is below this point. The second quartile (Q2) is the median of a data set. So, 50% of the data lies below this point. The third quartile (Q3) splits off the highest 25% of data from the lowest 75%. It is known as the upper or 75th empirical quartile, as 75% of the data lies below this point. Here, the quartiles is provided as an ordered list of quartile values for the scanned data, occurring in order Q1, median, Q3.
StandardDeviation float64: Standard deviation of non-null values in the scanned data. NaN, if the field has a NaN.

average Double: Average of non-null values in the scanned data. NaN, if the field has a NaN.
max String: Maximum of non-null values in the scanned data. NaN, if the field has a NaN.
min String: Minimum of non-null values in the scanned data. NaN, if the field has a NaN.
quartiles List<String>: A quartile divides the number of data points into four parts, or quarters, of more-or-less equal size. Three main quartiles used are: The first quartile (Q1) splits off the lowest 25% of data from the highest 75%. It is also known as the lower or 25th empirical quartile, as 25% of the data is below this point. The second quartile (Q2) is the median of a data set. So, 50% of the data lies below this point. The third quartile (Q3) splits off the highest 25% of data from the lowest 75%. It is known as the upper or 75th empirical quartile, as 75% of the data lies below this point. Here, the quartiles is provided as an ordered list of quartile values for the scanned data, occurring in order Q1, median, Q3.
standardDeviation Double: Standard deviation of non-null values in the scanned data. NaN, if the field has a NaN.

average number: Average of non-null values in the scanned data. NaN, if the field has a NaN.
max string: Maximum of non-null values in the scanned data. NaN, if the field has a NaN.
min string: Minimum of non-null values in the scanned data. NaN, if the field has a NaN.
quartiles string[]: A quartile divides the number of data points into four parts, or quarters, of more-or-less equal size. Three main quartiles used are: The first quartile (Q1) splits off the lowest 25% of data from the highest 75%. It is also known as the lower or 25th empirical quartile, as 25% of the data is below this point. The second quartile (Q2) is the median of a data set. So, 50% of the data lies below this point. The third quartile (Q3) splits off the highest 25% of data from the lowest 75%. It is known as the upper or 75th empirical quartile, as 75% of the data lies below this point. Here, the quartiles is provided as an ordered list of quartile values for the scanned data, occurring in order Q1, median, Q3.
standardDeviation number: Standard deviation of non-null values in the scanned data. NaN, if the field has a NaN.

average float: Average of non-null values in the scanned data. NaN, if the field has a NaN.
max str: Maximum of non-null values in the scanned data. NaN, if the field has a NaN.
min str: Minimum of non-null values in the scanned data. NaN, if the field has a NaN.
quartiles Sequence[str]: A quartile divides the number of data points into four parts, or quarters, of more-or-less equal size. Three main quartiles used are: The first quartile (Q1) splits off the lowest 25% of data from the highest 75%. It is also known as the lower or 25th empirical quartile, as 25% of the data is below this point. The second quartile (Q2) is the median of a data set. So, 50% of the data lies below this point. The third quartile (Q3) splits off the highest 25% of data from the lowest 75%. It is known as the upper or 75th empirical quartile, as 75% of the data lies below this point. Here, the quartiles is provided as an ordered list of quartile values for the scanned data, occurring in order Q1, median, Q3.
standard_deviation float: Standard deviation of non-null values in the scanned data. NaN, if the field has a NaN.

average Number: Average of non-null values in the scanned data. NaN, if the field has a NaN.
max String: Maximum of non-null values in the scanned data. NaN, if the field has a NaN.
min String: Minimum of non-null values in the scanned data. NaN, if the field has a NaN.
quartiles List<String>: A quartile divides the number of data points into four parts, or quarters, of more-or-less equal size. Three main quartiles used are: The first quartile (Q1) splits off the lowest 25% of data from the highest 75%. It is also known as the lower or 25th empirical quartile, as 25% of the data is below this point. The second quartile (Q2) is the median of a data set. So, 50% of the data lies below this point. The third quartile (Q3) splits off the highest 25% of data from the lowest 75%. It is known as the upper or 75th empirical quartile, as 75% of the data lies below this point. Here, the quartiles is provided as an ordered list of quartile values for the scanned data, occurring in order Q1, median, Q3.
standardDeviation Number: Standard deviation of non-null values in the scanned data. NaN, if the field has a NaN.

GoogleCloudDataplexV1DataProfileResultProfileFieldProfileInfoResponse

DistinctRatio double: Ratio of rows with distinct values against total scanned rows. Not available for complex non-groupable field type RECORD and fields with REPEATABLE mode.
DoubleProfile Pulumi.GoogleNative.Dataplex.V1.Inputs.GoogleCloudDataplexV1DataProfileResultProfileFieldProfileInfoDoubleFieldInfoResponse: Double type field information.
IntegerProfile Pulumi.GoogleNative.Dataplex.V1.Inputs.GoogleCloudDataplexV1DataProfileResultProfileFieldProfileInfoIntegerFieldInfoResponse: Integer type field information.
NullRatio double: Ratio of rows with null value against total scanned rows.
StringProfile Pulumi.GoogleNative.Dataplex.V1.Inputs.GoogleCloudDataplexV1DataProfileResultProfileFieldProfileInfoStringFieldInfoResponse: String type field information.
TopNValues List<Pulumi.GoogleNative.Dataplex.V1.Inputs.GoogleCloudDataplexV1DataProfileResultProfileFieldProfileInfoTopNValueResponse>: The list of top N non-null values and number of times they occur in the scanned data. N is 10 or equal to the number of distinct values in the field, whichever is smaller. Not available for complex non-groupable field type RECORD and fields with REPEATABLE mode.

DistinctRatio float64: Ratio of rows with distinct values against total scanned rows. Not available for complex non-groupable field type RECORD and fields with REPEATABLE mode.
DoubleProfile GoogleCloudDataplexV1DataProfileResultProfileFieldProfileInfoDoubleFieldInfoResponse: Double type field information.
IntegerProfile GoogleCloudDataplexV1DataProfileResultProfileFieldProfileInfoIntegerFieldInfoResponse: Integer type field information.
NullRatio float64: Ratio of rows with null value against total scanned rows.
StringProfile GoogleCloudDataplexV1DataProfileResultProfileFieldProfileInfoStringFieldInfoResponse: String type field information.
TopNValues []GoogleCloudDataplexV1DataProfileResultProfileFieldProfileInfoTopNValueResponse: The list of top N non-null values and number of times they occur in the scanned data. N is 10 or equal to the number of distinct values in the field, whichever is smaller. Not available for complex non-groupable field type RECORD and fields with REPEATABLE mode.

distinctRatio Double: Ratio of rows with distinct values against total scanned rows. Not available for complex non-groupable field type RECORD and fields with REPEATABLE mode.
doubleProfile GoogleCloudDataplexV1DataProfileResultProfileFieldProfileInfoDoubleFieldInfoResponse: Double type field information.
integerProfile GoogleCloudDataplexV1DataProfileResultProfileFieldProfileInfoIntegerFieldInfoResponse: Integer type field information.
nullRatio Double: Ratio of rows with null value against total scanned rows.
stringProfile GoogleCloudDataplexV1DataProfileResultProfileFieldProfileInfoStringFieldInfoResponse: String type field information.
topNValues List<GoogleCloudDataplexV1DataProfileResultProfileFieldProfileInfoTopNValueResponse>: The list of top N non-null values and number of times they occur in the scanned data. N is 10 or equal to the number of distinct values in the field, whichever is smaller. Not available for complex non-groupable field type RECORD and fields with REPEATABLE mode.

distinctRatio number: Ratio of rows with distinct values against total scanned rows. Not available for complex non-groupable field type RECORD and fields with REPEATABLE mode.
doubleProfile GoogleCloudDataplexV1DataProfileResultProfileFieldProfileInfoDoubleFieldInfoResponse: Double type field information.
integerProfile GoogleCloudDataplexV1DataProfileResultProfileFieldProfileInfoIntegerFieldInfoResponse: Integer type field information.
nullRatio number: Ratio of rows with null value against total scanned rows.
stringProfile GoogleCloudDataplexV1DataProfileResultProfileFieldProfileInfoStringFieldInfoResponse: String type field information.
topNValues GoogleCloudDataplexV1DataProfileResultProfileFieldProfileInfoTopNValueResponse[]: The list of top N non-null values and number of times they occur in the scanned data. N is 10 or equal to the number of distinct values in the field, whichever is smaller. Not available for complex non-groupable field type RECORD and fields with REPEATABLE mode.

distinct_ratio float: Ratio of rows with distinct values against total scanned rows. Not available for complex non-groupable field type RECORD and fields with REPEATABLE mode.
double_profile GoogleCloudDataplexV1DataProfileResultProfileFieldProfileInfoDoubleFieldInfoResponse: Double type field information.
integer_profile GoogleCloudDataplexV1DataProfileResultProfileFieldProfileInfoIntegerFieldInfoResponse: Integer type field information.
null_ratio float: Ratio of rows with null value against total scanned rows.
string_profile GoogleCloudDataplexV1DataProfileResultProfileFieldProfileInfoStringFieldInfoResponse: String type field information.
top_n_values Sequence[GoogleCloudDataplexV1DataProfileResultProfileFieldProfileInfoTopNValueResponse]: The list of top N non-null values and number of times they occur in the scanned data. N is 10 or equal to the number of distinct values in the field, whichever is smaller. Not available for complex non-groupable field type RECORD and fields with REPEATABLE mode.

distinctRatio Number: Ratio of rows with distinct values against total scanned rows. Not available for complex non-groupable field type RECORD and fields with REPEATABLE mode.
doubleProfile Property Map: Double type field information.
integerProfile Property Map: Integer type field information.
nullRatio Number: Ratio of rows with null value against total scanned rows.
stringProfile Property Map: String type field information.
topNValues List<Property Map>: The list of top N non-null values and number of times they occur in the scanned data. N is 10 or equal to the number of distinct values in the field, whichever is smaller. Not available for complex non-groupable field type RECORD and fields with REPEATABLE mode.

GoogleCloudDataplexV1DataProfileResultProfileFieldProfileInfoStringFieldInfoResponse

AverageLength double: Average length of non-null values in the scanned data.
MaxLength string: Maximum length of non-null values in the scanned data.
MinLength string: Minimum length of non-null values in the scanned data.

AverageLength float64: Average length of non-null values in the scanned data.
MaxLength string: Maximum length of non-null values in the scanned data.
MinLength string: Minimum length of non-null values in the scanned data.

averageLength Double: Average length of non-null values in the scanned data.
maxLength String: Maximum length of non-null values in the scanned data.
minLength String: Minimum length of non-null values in the scanned data.

averageLength number: Average length of non-null values in the scanned data.
maxLength string: Maximum length of non-null values in the scanned data.
minLength string: Minimum length of non-null values in the scanned data.

average_length float: Average length of non-null values in the scanned data.
max_length str: Maximum length of non-null values in the scanned data.
min_length str: Minimum length of non-null values in the scanned data.

averageLength Number: Average length of non-null values in the scanned data.
maxLength String: Maximum length of non-null values in the scanned data.
minLength String: Minimum length of non-null values in the scanned data.

GoogleCloudDataplexV1DataProfileResultProfileFieldProfileInfoTopNValueResponse

Count string: Count of the corresponding value in the scanned data.
Value string: String value of a top N non-null value.

Count string: Count of the corresponding value in the scanned data.
Value string: String value of a top N non-null value.

count String: Count of the corresponding value in the scanned data.
value String: String value of a top N non-null value.

count string: Count of the corresponding value in the scanned data.
value string: String value of a top N non-null value.

count str: Count of the corresponding value in the scanned data.
value str: String value of a top N non-null value.

count String: Count of the corresponding value in the scanned data.
value String: String value of a top N non-null value.

GoogleCloudDataplexV1DataProfileResultProfileFieldResponse

Mode string: The mode of the field. Possible values include: REQUIRED, if it is a required field. NULLABLE, if it is an optional field. REPEATED, if it is a repeated field.
Name string: The name of the field.
Profile Pulumi.GoogleNative.Dataplex.V1.Inputs.GoogleCloudDataplexV1DataProfileResultProfileFieldProfileInfoResponse: Profile information for the corresponding field.
Type string: The field data type. Possible values include: STRING BYTE INT64 INT32 INT16 DOUBLE FLOAT DECIMAL BOOLEAN BINARY TIMESTAMP DATE TIME NULL RECORD

Mode string: The mode of the field. Possible values include: REQUIRED, if it is a required field. NULLABLE, if it is an optional field. REPEATED, if it is a repeated field.
Name string: The name of the field.
Profile GoogleCloudDataplexV1DataProfileResultProfileFieldProfileInfoResponse: Profile information for the corresponding field.
Type string: The field data type. Possible values include: STRING BYTE INT64 INT32 INT16 DOUBLE FLOAT DECIMAL BOOLEAN BINARY TIMESTAMP DATE TIME NULL RECORD

mode String: The mode of the field. Possible values include: REQUIRED, if it is a required field. NULLABLE, if it is an optional field. REPEATED, if it is a repeated field.
name String: The name of the field.
profile GoogleCloudDataplexV1DataProfileResultProfileFieldProfileInfoResponse: Profile information for the corresponding field.
type String: The field data type. Possible values include: STRING BYTE INT64 INT32 INT16 DOUBLE FLOAT DECIMAL BOOLEAN BINARY TIMESTAMP DATE TIME NULL RECORD

mode string: The mode of the field. Possible values include: REQUIRED, if it is a required field. NULLABLE, if it is an optional field. REPEATED, if it is a repeated field.
name string: The name of the field.
profile GoogleCloudDataplexV1DataProfileResultProfileFieldProfileInfoResponse: Profile information for the corresponding field.
type string: The field data type. Possible values include: STRING BYTE INT64 INT32 INT16 DOUBLE FLOAT DECIMAL BOOLEAN BINARY TIMESTAMP DATE TIME NULL RECORD

mode str: The mode of the field. Possible values include: REQUIRED, if it is a required field. NULLABLE, if it is an optional field. REPEATED, if it is a repeated field.
name str: The name of the field.
profile GoogleCloudDataplexV1DataProfileResultProfileFieldProfileInfoResponse: Profile information for the corresponding field.
type str: The field data type. Possible values include: STRING BYTE INT64 INT32 INT16 DOUBLE FLOAT DECIMAL BOOLEAN BINARY TIMESTAMP DATE TIME NULL RECORD

mode String: The mode of the field. Possible values include: REQUIRED, if it is a required field. NULLABLE, if it is an optional field. REPEATED, if it is a repeated field.
name String: The name of the field.
profile Property Map: Profile information for the corresponding field.
type String: The field data type. Possible values include: STRING BYTE INT64 INT32 INT16 DOUBLE FLOAT DECIMAL BOOLEAN BINARY TIMESTAMP DATE TIME NULL RECORD

GoogleCloudDataplexV1DataProfileResultProfileResponse

Fields List<Pulumi.GoogleNative.Dataplex.V1.Inputs.GoogleCloudDataplexV1DataProfileResultProfileFieldResponse>: List of fields with structural and profile information for each field.

Fields []GoogleCloudDataplexV1DataProfileResultProfileFieldResponse: List of fields with structural and profile information for each field.

fields List<GoogleCloudDataplexV1DataProfileResultProfileFieldResponse>: List of fields with structural and profile information for each field.

fields GoogleCloudDataplexV1DataProfileResultProfileFieldResponse[]: List of fields with structural and profile information for each field.

fields Sequence[GoogleCloudDataplexV1DataProfileResultProfileFieldResponse]: List of fields with structural and profile information for each field.

fields List<Property Map>: List of fields with structural and profile information for each field.

GoogleCloudDataplexV1DataProfileResultResponse

Profile Pulumi.GoogleNative.Dataplex.V1.Inputs.GoogleCloudDataplexV1DataProfileResultProfileResponse: The profile information per field.
RowCount string: The count of rows scanned.
ScannedData Pulumi.GoogleNative.Dataplex.V1.Inputs.GoogleCloudDataplexV1ScannedDataResponse: The data scanned for this result.

Profile GoogleCloudDataplexV1DataProfileResultProfileResponse: The profile information per field.
RowCount string: The count of rows scanned.
ScannedData GoogleCloudDataplexV1ScannedDataResponse: The data scanned for this result.

profile GoogleCloudDataplexV1DataProfileResultProfileResponse: The profile information per field.
rowCount String: The count of rows scanned.
scannedData GoogleCloudDataplexV1ScannedDataResponse: The data scanned for this result.

profile GoogleCloudDataplexV1DataProfileResultProfileResponse: The profile information per field.
rowCount string: The count of rows scanned.
scannedData GoogleCloudDataplexV1ScannedDataResponse: The data scanned for this result.

profile GoogleCloudDataplexV1DataProfileResultProfileResponse: The profile information per field.
row_count str: The count of rows scanned.
scanned_data GoogleCloudDataplexV1ScannedDataResponse: The data scanned for this result.

profile Property Map: The profile information per field.
rowCount String: The count of rows scanned.
scannedData Property Map: The data scanned for this result.

GoogleCloudDataplexV1DataQualityDimensionResultResponse

Passed bool: Whether the dimension passed or failed.

Passed bool: Whether the dimension passed or failed.

passed Boolean: Whether the dimension passed or failed.

passed boolean: Whether the dimension passed or failed.

passed bool: Whether the dimension passed or failed.

passed Boolean: Whether the dimension passed or failed.

GoogleCloudDataplexV1DataQualityResultResponse

Dimensions List<Pulumi.GoogleNative.Dataplex.V1.Inputs.GoogleCloudDataplexV1DataQualityDimensionResultResponse>: A list of results at the dimension level.
Passed bool: Overall data quality result -- true if all rules passed.
RowCount string: The count of rows processed.
Rules List<Pulumi.GoogleNative.Dataplex.V1.Inputs.GoogleCloudDataplexV1DataQualityRuleResultResponse>: A list of all the rules in a job, and their results.
ScannedData Pulumi.GoogleNative.Dataplex.V1.Inputs.GoogleCloudDataplexV1ScannedDataResponse: The data scanned for this result.

Dimensions []GoogleCloudDataplexV1DataQualityDimensionResultResponse: A list of results at the dimension level.
Passed bool: Overall data quality result -- true if all rules passed.
RowCount string: The count of rows processed.
Rules []GoogleCloudDataplexV1DataQualityRuleResultResponse: A list of all the rules in a job, and their results.
ScannedData GoogleCloudDataplexV1ScannedDataResponse: The data scanned for this result.

dimensions List<GoogleCloudDataplexV1DataQualityDimensionResultResponse>: A list of results at the dimension level.
passed Boolean: Overall data quality result -- true if all rules passed.
rowCount String: The count of rows processed.
rules List<GoogleCloudDataplexV1DataQualityRuleResultResponse>: A list of all the rules in a job, and their results.
scannedData GoogleCloudDataplexV1ScannedDataResponse: The data scanned for this result.

dimensions GoogleCloudDataplexV1DataQualityDimensionResultResponse[]: A list of results at the dimension level.
passed boolean: Overall data quality result -- true if all rules passed.
rowCount string: The count of rows processed.
rules GoogleCloudDataplexV1DataQualityRuleResultResponse[]: A list of all the rules in a job, and their results.
scannedData GoogleCloudDataplexV1ScannedDataResponse: The data scanned for this result.

dimensions Sequence[GoogleCloudDataplexV1DataQualityDimensionResultResponse]: A list of results at the dimension level.
passed bool: Overall data quality result -- true if all rules passed.
row_count str: The count of rows processed.
rules Sequence[GoogleCloudDataplexV1DataQualityRuleResultResponse]: A list of all the rules in a job, and their results.
scanned_data GoogleCloudDataplexV1ScannedDataResponse: The data scanned for this result.

dimensions List<Property Map>: A list of results at the dimension level.
passed Boolean: Overall data quality result -- true if all rules passed.
rowCount String: The count of rows processed.
rules List<Property Map>: A list of all the rules in a job, and their results.
scannedData Property Map: The data scanned for this result.

GoogleCloudDataplexV1DataQualityRuleRangeExpectationResponse

MaxValue string: Optional. The maximum column value allowed for a row to pass this validation. At least one of min_value and max_value need to be provided.
MinValue string: Optional. The minimum column value allowed for a row to pass this validation. At least one of min_value and max_value need to be provided.
StrictMaxEnabled bool: Optional. Whether each value needs to be strictly lesser than ('<') the maximum, or if equality is allowed.Only relevant if a max_value has been defined. Default = false.
StrictMinEnabled bool: Optional. Whether each value needs to be strictly greater than ('>') the minimum, or if equality is allowed.Only relevant if a min_value has been defined. Default = false.

MaxValue string: Optional. The maximum column value allowed for a row to pass this validation. At least one of min_value and max_value need to be provided.
MinValue string: Optional. The minimum column value allowed for a row to pass this validation. At least one of min_value and max_value need to be provided.
StrictMaxEnabled bool: Optional. Whether each value needs to be strictly lesser than ('<') the maximum, or if equality is allowed.Only relevant if a max_value has been defined. Default = false.
StrictMinEnabled bool: Optional. Whether each value needs to be strictly greater than ('>') the minimum, or if equality is allowed.Only relevant if a min_value has been defined. Default = false.

maxValue String: Optional. The maximum column value allowed for a row to pass this validation. At least one of min_value and max_value need to be provided.
minValue String: Optional. The minimum column value allowed for a row to pass this validation. At least one of min_value and max_value need to be provided.
strictMaxEnabled Boolean: Optional. Whether each value needs to be strictly lesser than ('<') the maximum, or if equality is allowed.Only relevant if a max_value has been defined. Default = false.
strictMinEnabled Boolean: Optional. Whether each value needs to be strictly greater than ('>') the minimum, or if equality is allowed.Only relevant if a min_value has been defined. Default = false.

maxValue string: Optional. The maximum column value allowed for a row to pass this validation. At least one of min_value and max_value need to be provided.
minValue string: Optional. The minimum column value allowed for a row to pass this validation. At least one of min_value and max_value need to be provided.
strictMaxEnabled boolean: Optional. Whether each value needs to be strictly lesser than ('<') the maximum, or if equality is allowed.Only relevant if a max_value has been defined. Default = false.
strictMinEnabled boolean: Optional. Whether each value needs to be strictly greater than ('>') the minimum, or if equality is allowed.Only relevant if a min_value has been defined. Default = false.

max_value str: Optional. The maximum column value allowed for a row to pass this validation. At least one of min_value and max_value need to be provided.
min_value str: Optional. The minimum column value allowed for a row to pass this validation. At least one of min_value and max_value need to be provided.
strict_max_enabled bool: Optional. Whether each value needs to be strictly lesser than ('<') the maximum, or if equality is allowed.Only relevant if a max_value has been defined. Default = false.
strict_min_enabled bool: Optional. Whether each value needs to be strictly greater than ('>') the minimum, or if equality is allowed.Only relevant if a min_value has been defined. Default = false.

maxValue String: Optional. The maximum column value allowed for a row to pass this validation. At least one of min_value and max_value need to be provided.
minValue String: Optional. The minimum column value allowed for a row to pass this validation. At least one of min_value and max_value need to be provided.
strictMaxEnabled Boolean: Optional. Whether each value needs to be strictly lesser than ('<') the maximum, or if equality is allowed.Only relevant if a max_value has been defined. Default = false.
strictMinEnabled Boolean: Optional. Whether each value needs to be strictly greater than ('>') the minimum, or if equality is allowed.Only relevant if a min_value has been defined. Default = false.

GoogleCloudDataplexV1DataQualityRuleRegexExpectationResponse

Regex string: A regular expression the column value is expected to match.

Regex string: A regular expression the column value is expected to match.

regex String: A regular expression the column value is expected to match.

regex string: A regular expression the column value is expected to match.

regex str: A regular expression the column value is expected to match.

regex String: A regular expression the column value is expected to match.

GoogleCloudDataplexV1DataQualityRuleResponse

Column string: Optional. The unnested column which this rule is evaluated against.
Dimension string: The dimension a rule belongs to. Results are also aggregated at the dimension level. Supported dimensions are "COMPLETENESS", "ACCURACY", "CONSISTENCY", "VALIDITY", "UNIQUENESS", "INTEGRITY"
IgnoreNull bool: Optional. Rows with null values will automatically fail a rule, unless ignore_null is true. In that case, such null rows are trivially considered passing.Only applicable to ColumnMap rules.
NonNullExpectation Pulumi.GoogleNative.Dataplex.V1.Inputs.GoogleCloudDataplexV1DataQualityRuleNonNullExpectationResponse: ColumnMap rule which evaluates whether each column value is null.
RangeExpectation Pulumi.GoogleNative.Dataplex.V1.Inputs.GoogleCloudDataplexV1DataQualityRuleRangeExpectationResponse: ColumnMap rule which evaluates whether each column value lies between a specified range.
RegexExpectation Pulumi.GoogleNative.Dataplex.V1.Inputs.GoogleCloudDataplexV1DataQualityRuleRegexExpectationResponse: ColumnMap rule which evaluates whether each column value matches a specified regex.
RowConditionExpectation Pulumi.GoogleNative.Dataplex.V1.Inputs.GoogleCloudDataplexV1DataQualityRuleRowConditionExpectationResponse: Table rule which evaluates whether each row passes the specified condition.
SetExpectation Pulumi.GoogleNative.Dataplex.V1.Inputs.GoogleCloudDataplexV1DataQualityRuleSetExpectationResponse: ColumnMap rule which evaluates whether each column value is contained by a specified set.
StatisticRangeExpectation Pulumi.GoogleNative.Dataplex.V1.Inputs.GoogleCloudDataplexV1DataQualityRuleStatisticRangeExpectationResponse: ColumnAggregate rule which evaluates whether the column aggregate statistic lies between a specified range.
TableConditionExpectation Pulumi.GoogleNative.Dataplex.V1.Inputs.GoogleCloudDataplexV1DataQualityRuleTableConditionExpectationResponse: Table rule which evaluates whether the provided expression is true.
Threshold double: Optional. The minimum ratio of passing_rows / total_rows required to pass this rule, with a range of 0.0, 1.0.0 indicates default value (i.e. 1.0).
UniquenessExpectation Pulumi.GoogleNative.Dataplex.V1.Inputs.GoogleCloudDataplexV1DataQualityRuleUniquenessExpectationResponse: ColumnAggregate rule which evaluates whether the column has duplicates.

Column string: Optional. The unnested column which this rule is evaluated against.
Dimension string: The dimension a rule belongs to. Results are also aggregated at the dimension level. Supported dimensions are "COMPLETENESS", "ACCURACY", "CONSISTENCY", "VALIDITY", "UNIQUENESS", "INTEGRITY"
IgnoreNull bool: Optional. Rows with null values will automatically fail a rule, unless ignore_null is true. In that case, such null rows are trivially considered passing.Only applicable to ColumnMap rules.
NonNullExpectation GoogleCloudDataplexV1DataQualityRuleNonNullExpectationResponse: ColumnMap rule which evaluates whether each column value is null.
RangeExpectation GoogleCloudDataplexV1DataQualityRuleRangeExpectationResponse: ColumnMap rule which evaluates whether each column value lies between a specified range.
RegexExpectation GoogleCloudDataplexV1DataQualityRuleRegexExpectationResponse: ColumnMap rule which evaluates whether each column value matches a specified regex.
RowConditionExpectation GoogleCloudDataplexV1DataQualityRuleRowConditionExpectationResponse: Table rule which evaluates whether each row passes the specified condition.
SetExpectation GoogleCloudDataplexV1DataQualityRuleSetExpectationResponse: ColumnMap rule which evaluates whether each column value is contained by a specified set.
StatisticRangeExpectation GoogleCloudDataplexV1DataQualityRuleStatisticRangeExpectationResponse: ColumnAggregate rule which evaluates whether the column aggregate statistic lies between a specified range.
TableConditionExpectation GoogleCloudDataplexV1DataQualityRuleTableConditionExpectationResponse: Table rule which evaluates whether the provided expression is true.
Threshold float64: Optional. The minimum ratio of passing_rows / total_rows required to pass this rule, with a range of 0.0, 1.0.0 indicates default value (i.e. 1.0).
UniquenessExpectation GoogleCloudDataplexV1DataQualityRuleUniquenessExpectationResponse: ColumnAggregate rule which evaluates whether the column has duplicates.

column String: Optional. The unnested column which this rule is evaluated against.
dimension String: The dimension a rule belongs to. Results are also aggregated at the dimension level. Supported dimensions are "COMPLETENESS", "ACCURACY", "CONSISTENCY", "VALIDITY", "UNIQUENESS", "INTEGRITY"
ignoreNull Boolean: Optional. Rows with null values will automatically fail a rule, unless ignore_null is true. In that case, such null rows are trivially considered passing.Only applicable to ColumnMap rules.
nonNullExpectation GoogleCloudDataplexV1DataQualityRuleNonNullExpectationResponse: ColumnMap rule which evaluates whether each column value is null.
rangeExpectation GoogleCloudDataplexV1DataQualityRuleRangeExpectationResponse: ColumnMap rule which evaluates whether each column value lies between a specified range.
regexExpectation GoogleCloudDataplexV1DataQualityRuleRegexExpectationResponse: ColumnMap rule which evaluates whether each column value matches a specified regex.
rowConditionExpectation GoogleCloudDataplexV1DataQualityRuleRowConditionExpectationResponse: Table rule which evaluates whether each row passes the specified condition.
setExpectation GoogleCloudDataplexV1DataQualityRuleSetExpectationResponse: ColumnMap rule which evaluates whether each column value is contained by a specified set.
statisticRangeExpectation GoogleCloudDataplexV1DataQualityRuleStatisticRangeExpectationResponse: ColumnAggregate rule which evaluates whether the column aggregate statistic lies between a specified range.
tableConditionExpectation GoogleCloudDataplexV1DataQualityRuleTableConditionExpectationResponse: Table rule which evaluates whether the provided expression is true.
threshold Double: Optional. The minimum ratio of passing_rows / total_rows required to pass this rule, with a range of 0.0, 1.0.0 indicates default value (i.e. 1.0).
uniquenessExpectation GoogleCloudDataplexV1DataQualityRuleUniquenessExpectationResponse: ColumnAggregate rule which evaluates whether the column has duplicates.

column string: Optional. The unnested column which this rule is evaluated against.
dimension string: The dimension a rule belongs to. Results are also aggregated at the dimension level. Supported dimensions are "COMPLETENESS", "ACCURACY", "CONSISTENCY", "VALIDITY", "UNIQUENESS", "INTEGRITY"
ignoreNull boolean: Optional. Rows with null values will automatically fail a rule, unless ignore_null is true. In that case, such null rows are trivially considered passing.Only applicable to ColumnMap rules.
nonNullExpectation GoogleCloudDataplexV1DataQualityRuleNonNullExpectationResponse: ColumnMap rule which evaluates whether each column value is null.
rangeExpectation GoogleCloudDataplexV1DataQualityRuleRangeExpectationResponse: ColumnMap rule which evaluates whether each column value lies between a specified range.
regexExpectation GoogleCloudDataplexV1DataQualityRuleRegexExpectationResponse: ColumnMap rule which evaluates whether each column value matches a specified regex.
rowConditionExpectation GoogleCloudDataplexV1DataQualityRuleRowConditionExpectationResponse: Table rule which evaluates whether each row passes the specified condition.
setExpectation GoogleCloudDataplexV1DataQualityRuleSetExpectationResponse: ColumnMap rule which evaluates whether each column value is contained by a specified set.
statisticRangeExpectation GoogleCloudDataplexV1DataQualityRuleStatisticRangeExpectationResponse: ColumnAggregate rule which evaluates whether the column aggregate statistic lies between a specified range.
tableConditionExpectation GoogleCloudDataplexV1DataQualityRuleTableConditionExpectationResponse: Table rule which evaluates whether the provided expression is true.
threshold number: Optional. The minimum ratio of passing_rows / total_rows required to pass this rule, with a range of 0.0, 1.0.0 indicates default value (i.e. 1.0).
uniquenessExpectation GoogleCloudDataplexV1DataQualityRuleUniquenessExpectationResponse: ColumnAggregate rule which evaluates whether the column has duplicates.

column str: Optional. The unnested column which this rule is evaluated against.
dimension str: The dimension a rule belongs to. Results are also aggregated at the dimension level. Supported dimensions are "COMPLETENESS", "ACCURACY", "CONSISTENCY", "VALIDITY", "UNIQUENESS", "INTEGRITY"
ignore_null bool: Optional. Rows with null values will automatically fail a rule, unless ignore_null is true. In that case, such null rows are trivially considered passing.Only applicable to ColumnMap rules.
non_null_expectation GoogleCloudDataplexV1DataQualityRuleNonNullExpectationResponse: ColumnMap rule which evaluates whether each column value is null.
range_expectation GoogleCloudDataplexV1DataQualityRuleRangeExpectationResponse: ColumnMap rule which evaluates whether each column value lies between a specified range.
regex_expectation GoogleCloudDataplexV1DataQualityRuleRegexExpectationResponse: ColumnMap rule which evaluates whether each column value matches a specified regex.
row_condition_expectation GoogleCloudDataplexV1DataQualityRuleRowConditionExpectationResponse: Table rule which evaluates whether each row passes the specified condition.
set_expectation GoogleCloudDataplexV1DataQualityRuleSetExpectationResponse: ColumnMap rule which evaluates whether each column value is contained by a specified set.
statistic_range_expectation GoogleCloudDataplexV1DataQualityRuleStatisticRangeExpectationResponse: ColumnAggregate rule which evaluates whether the column aggregate statistic lies between a specified range.
table_condition_expectation GoogleCloudDataplexV1DataQualityRuleTableConditionExpectationResponse: Table rule which evaluates whether the provided expression is true.
threshold float: Optional. The minimum ratio of passing_rows / total_rows required to pass this rule, with a range of 0.0, 1.0.0 indicates default value (i.e. 1.0).
uniqueness_expectation GoogleCloudDataplexV1DataQualityRuleUniquenessExpectationResponse: ColumnAggregate rule which evaluates whether the column has duplicates.

column String: Optional. The unnested column which this rule is evaluated against.
dimension String: The dimension a rule belongs to. Results are also aggregated at the dimension level. Supported dimensions are "COMPLETENESS", "ACCURACY", "CONSISTENCY", "VALIDITY", "UNIQUENESS", "INTEGRITY"
ignoreNull Boolean: Optional. Rows with null values will automatically fail a rule, unless ignore_null is true. In that case, such null rows are trivially considered passing.Only applicable to ColumnMap rules.
nonNullExpectation Property Map: ColumnMap rule which evaluates whether each column value is null.
rangeExpectation Property Map: ColumnMap rule which evaluates whether each column value lies between a specified range.
regexExpectation Property Map: ColumnMap rule which evaluates whether each column value matches a specified regex.
rowConditionExpectation Property Map: Table rule which evaluates whether each row passes the specified condition.
setExpectation Property Map: ColumnMap rule which evaluates whether each column value is contained by a specified set.
statisticRangeExpectation Property Map: ColumnAggregate rule which evaluates whether the column aggregate statistic lies between a specified range.
tableConditionExpectation Property Map: Table rule which evaluates whether the provided expression is true.
threshold Number: Optional. The minimum ratio of passing_rows / total_rows required to pass this rule, with a range of 0.0, 1.0.0 indicates default value (i.e. 1.0).
uniquenessExpectation Property Map: ColumnAggregate rule which evaluates whether the column has duplicates.

GoogleCloudDataplexV1DataQualityRuleResultResponse

EvaluatedCount string: The number of rows a rule was evaluated against. This field is only valid for ColumnMap type rules.Evaluated count can be configured to either include all rows (default) - with null rows automatically failing rule evaluation, or exclude null rows from the evaluated_count, by setting ignore_nulls = true.
FailingRowsQuery string: The query to find rows that did not pass this rule. Only applies to ColumnMap and RowCondition rules.
NullCount string: The number of rows with null values in the specified column.
PassRatio double: The ratio of passed_count / evaluated_count. This field is only valid for ColumnMap type rules.
Passed bool: Whether the rule passed or failed.
PassedCount string: The number of rows which passed a rule evaluation. This field is only valid for ColumnMap type rules.
Rule Pulumi.GoogleNative.Dataplex.V1.Inputs.GoogleCloudDataplexV1DataQualityRuleResponse: The rule specified in the DataQualitySpec, as is.

EvaluatedCount string: The number of rows a rule was evaluated against. This field is only valid for ColumnMap type rules.Evaluated count can be configured to either include all rows (default) - with null rows automatically failing rule evaluation, or exclude null rows from the evaluated_count, by setting ignore_nulls = true.
FailingRowsQuery string: The query to find rows that did not pass this rule. Only applies to ColumnMap and RowCondition rules.
NullCount string: The number of rows with null values in the specified column.
PassRatio float64: The ratio of passed_count / evaluated_count. This field is only valid for ColumnMap type rules.
Passed bool: Whether the rule passed or failed.
PassedCount string: The number of rows which passed a rule evaluation. This field is only valid for ColumnMap type rules.
Rule GoogleCloudDataplexV1DataQualityRuleResponse: The rule specified in the DataQualitySpec, as is.

evaluatedCount String: The number of rows a rule was evaluated against. This field is only valid for ColumnMap type rules.Evaluated count can be configured to either include all rows (default) - with null rows automatically failing rule evaluation, or exclude null rows from the evaluated_count, by setting ignore_nulls = true.
failingRowsQuery String: The query to find rows that did not pass this rule. Only applies to ColumnMap and RowCondition rules.
nullCount String: The number of rows with null values in the specified column.
passRatio Double: The ratio of passed_count / evaluated_count. This field is only valid for ColumnMap type rules.
passed Boolean: Whether the rule passed or failed.
passedCount String: The number of rows which passed a rule evaluation. This field is only valid for ColumnMap type rules.
rule GoogleCloudDataplexV1DataQualityRuleResponse: The rule specified in the DataQualitySpec, as is.

evaluatedCount string: The number of rows a rule was evaluated against. This field is only valid for ColumnMap type rules.Evaluated count can be configured to either include all rows (default) - with null rows automatically failing rule evaluation, or exclude null rows from the evaluated_count, by setting ignore_nulls = true.
failingRowsQuery string: The query to find rows that did not pass this rule. Only applies to ColumnMap and RowCondition rules.
nullCount string: The number of rows with null values in the specified column.
passRatio number: The ratio of passed_count / evaluated_count. This field is only valid for ColumnMap type rules.
passed boolean: Whether the rule passed or failed.
passedCount string: The number of rows which passed a rule evaluation. This field is only valid for ColumnMap type rules.
rule GoogleCloudDataplexV1DataQualityRuleResponse: The rule specified in the DataQualitySpec, as is.

evaluated_count str: The number of rows a rule was evaluated against. This field is only valid for ColumnMap type rules.Evaluated count can be configured to either include all rows (default) - with null rows automatically failing rule evaluation, or exclude null rows from the evaluated_count, by setting ignore_nulls = true.
failing_rows_query str: The query to find rows that did not pass this rule. Only applies to ColumnMap and RowCondition rules.
null_count str: The number of rows with null values in the specified column.
pass_ratio float: The ratio of passed_count / evaluated_count. This field is only valid for ColumnMap type rules.
passed bool: Whether the rule passed or failed.
passed_count str: The number of rows which passed a rule evaluation. This field is only valid for ColumnMap type rules.
rule GoogleCloudDataplexV1DataQualityRuleResponse: The rule specified in the DataQualitySpec, as is.

evaluatedCount String: The number of rows a rule was evaluated against. This field is only valid for ColumnMap type rules.Evaluated count can be configured to either include all rows (default) - with null rows automatically failing rule evaluation, or exclude null rows from the evaluated_count, by setting ignore_nulls = true.
failingRowsQuery String: The query to find rows that did not pass this rule. Only applies to ColumnMap and RowCondition rules.
nullCount String: The number of rows with null values in the specified column.
passRatio Number: The ratio of passed_count / evaluated_count. This field is only valid for ColumnMap type rules.
passed Boolean: Whether the rule passed or failed.
passedCount String: The number of rows which passed a rule evaluation. This field is only valid for ColumnMap type rules.
rule Property Map: The rule specified in the DataQualitySpec, as is.

GoogleCloudDataplexV1DataQualityRuleRowConditionExpectationResponse

SqlExpression string: The SQL expression.

SqlExpression string: The SQL expression.

sqlExpression String: The SQL expression.

sqlExpression string: The SQL expression.

sql_expression str: The SQL expression.

sqlExpression String: The SQL expression.

GoogleCloudDataplexV1DataQualityRuleSetExpectationResponse

Values List<string>: Expected values for the column value.

Values []string: Expected values for the column value.

values List<String>: Expected values for the column value.

values string[]: Expected values for the column value.

values Sequence[str]: Expected values for the column value.

values List<String>: Expected values for the column value.

GoogleCloudDataplexV1DataQualityRuleStatisticRangeExpectationResponse

MaxValue string: The maximum column statistic value allowed for a row to pass this validation.At least one of min_value and max_value need to be provided.
MinValue string: The minimum column statistic value allowed for a row to pass this validation.At least one of min_value and max_value need to be provided.
Statistic string
StrictMaxEnabled bool: Whether column statistic needs to be strictly lesser than ('<') the maximum, or if equality is allowed.Only relevant if a max_value has been defined. Default = false.
StrictMinEnabled bool: Whether column statistic needs to be strictly greater than ('>') the minimum, or if equality is allowed.Only relevant if a min_value has been defined. Default = false.

MaxValue string: The maximum column statistic value allowed for a row to pass this validation.At least one of min_value and max_value need to be provided.
MinValue string: The minimum column statistic value allowed for a row to pass this validation.At least one of min_value and max_value need to be provided.
Statistic string
StrictMaxEnabled bool: Whether column statistic needs to be strictly lesser than ('<') the maximum, or if equality is allowed.Only relevant if a max_value has been defined. Default = false.
StrictMinEnabled bool: Whether column statistic needs to be strictly greater than ('>') the minimum, or if equality is allowed.Only relevant if a min_value has been defined. Default = false.

maxValue String: The maximum column statistic value allowed for a row to pass this validation.At least one of min_value and max_value need to be provided.
minValue String: The minimum column statistic value allowed for a row to pass this validation.At least one of min_value and max_value need to be provided.
statistic String
strictMaxEnabled Boolean: Whether column statistic needs to be strictly lesser than ('<') the maximum, or if equality is allowed.Only relevant if a max_value has been defined. Default = false.
strictMinEnabled Boolean: Whether column statistic needs to be strictly greater than ('>') the minimum, or if equality is allowed.Only relevant if a min_value has been defined. Default = false.

maxValue string: The maximum column statistic value allowed for a row to pass this validation.At least one of min_value and max_value need to be provided.
minValue string: The minimum column statistic value allowed for a row to pass this validation.At least one of min_value and max_value need to be provided.
statistic string
strictMaxEnabled boolean: Whether column statistic needs to be strictly lesser than ('<') the maximum, or if equality is allowed.Only relevant if a max_value has been defined. Default = false.
strictMinEnabled boolean: Whether column statistic needs to be strictly greater than ('>') the minimum, or if equality is allowed.Only relevant if a min_value has been defined. Default = false.

max_value str: The maximum column statistic value allowed for a row to pass this validation.At least one of min_value and max_value need to be provided.
min_value str: The minimum column statistic value allowed for a row to pass this validation.At least one of min_value and max_value need to be provided.
statistic str
strict_max_enabled bool: Whether column statistic needs to be strictly lesser than ('<') the maximum, or if equality is allowed.Only relevant if a max_value has been defined. Default = false.
strict_min_enabled bool: Whether column statistic needs to be strictly greater than ('>') the minimum, or if equality is allowed.Only relevant if a min_value has been defined. Default = false.

maxValue String: The maximum column statistic value allowed for a row to pass this validation.At least one of min_value and max_value need to be provided.
minValue String: The minimum column statistic value allowed for a row to pass this validation.At least one of min_value and max_value need to be provided.
statistic String
strictMaxEnabled Boolean: Whether column statistic needs to be strictly lesser than ('<') the maximum, or if equality is allowed.Only relevant if a max_value has been defined. Default = false.
strictMinEnabled Boolean: Whether column statistic needs to be strictly greater than ('>') the minimum, or if equality is allowed.Only relevant if a min_value has been defined. Default = false.

GoogleCloudDataplexV1DataQualityRuleTableConditionExpectationResponse

SqlExpression string: The SQL expression.

SqlExpression string: The SQL expression.

sqlExpression String: The SQL expression.

sqlExpression string: The SQL expression.

sql_expression str: The SQL expression.

sqlExpression String: The SQL expression.

GoogleCloudDataplexV1DataQualitySpecResponse

Rules List<Pulumi.GoogleNative.Dataplex.V1.Inputs.GoogleCloudDataplexV1DataQualityRuleResponse>: The list of rules to evaluate against a data source. At least one rule is required.

Rules []GoogleCloudDataplexV1DataQualityRuleResponse: The list of rules to evaluate against a data source. At least one rule is required.

rules List<GoogleCloudDataplexV1DataQualityRuleResponse>: The list of rules to evaluate against a data source. At least one rule is required.

rules GoogleCloudDataplexV1DataQualityRuleResponse[]: The list of rules to evaluate against a data source. At least one rule is required.

rules Sequence[GoogleCloudDataplexV1DataQualityRuleResponse]: The list of rules to evaluate against a data source. At least one rule is required.

rules List<Property Map>: The list of rules to evaluate against a data source. At least one rule is required.

GoogleCloudDataplexV1DataScanExecutionSpecResponse

Field string: Immutable. The unnested field (of type Date or Timestamp) that contains values which monotonically increase over time.If not specified, a data scan will run for all data in the table.
Trigger Pulumi.GoogleNative.Dataplex.V1.Inputs.GoogleCloudDataplexV1TriggerResponse: Optional. Spec related to how often and when a scan should be triggered.If not specified, the default is OnDemand, which means the scan will not run until the user calls RunDataScan API.

Field string: Immutable. The unnested field (of type Date or Timestamp) that contains values which monotonically increase over time.If not specified, a data scan will run for all data in the table.
Trigger GoogleCloudDataplexV1TriggerResponse: Optional. Spec related to how often and when a scan should be triggered.If not specified, the default is OnDemand, which means the scan will not run until the user calls RunDataScan API.

field String: Immutable. The unnested field (of type Date or Timestamp) that contains values which monotonically increase over time.If not specified, a data scan will run for all data in the table.
trigger GoogleCloudDataplexV1TriggerResponse: Optional. Spec related to how often and when a scan should be triggered.If not specified, the default is OnDemand, which means the scan will not run until the user calls RunDataScan API.

field string: Immutable. The unnested field (of type Date or Timestamp) that contains values which monotonically increase over time.If not specified, a data scan will run for all data in the table.
trigger GoogleCloudDataplexV1TriggerResponse: Optional. Spec related to how often and when a scan should be triggered.If not specified, the default is OnDemand, which means the scan will not run until the user calls RunDataScan API.

field str: Immutable. The unnested field (of type Date or Timestamp) that contains values which monotonically increase over time.If not specified, a data scan will run for all data in the table.
trigger GoogleCloudDataplexV1TriggerResponse: Optional. Spec related to how often and when a scan should be triggered.If not specified, the default is OnDemand, which means the scan will not run until the user calls RunDataScan API.

field String: Immutable. The unnested field (of type Date or Timestamp) that contains values which monotonically increase over time.If not specified, a data scan will run for all data in the table.
trigger Property Map: Optional. Spec related to how often and when a scan should be triggered.If not specified, the default is OnDemand, which means the scan will not run until the user calls RunDataScan API.

GoogleCloudDataplexV1DataScanExecutionStatusResponse

LatestJobEndTime string: The time when the latest DataScanJob ended.
LatestJobStartTime string: The time when the latest DataScanJob started.

LatestJobEndTime string: The time when the latest DataScanJob ended.
LatestJobStartTime string: The time when the latest DataScanJob started.

latestJobEndTime String: The time when the latest DataScanJob ended.
latestJobStartTime String: The time when the latest DataScanJob started.

latestJobEndTime string: The time when the latest DataScanJob ended.
latestJobStartTime string: The time when the latest DataScanJob started.

latest_job_end_time str: The time when the latest DataScanJob ended.
latest_job_start_time str: The time when the latest DataScanJob started.

latestJobEndTime String: The time when the latest DataScanJob ended.
latestJobStartTime String: The time when the latest DataScanJob started.

GoogleCloudDataplexV1DataSourceResponse

Entity string: Immutable. The Dataplex entity that represents the data source (e.g. BigQuery table) for DataScan, of the form: projects/{project_number}/locations/{location_id}/lakes/{lake_id}/zones/{zone_id}/entities/{entity_id}.

Entity string: Immutable. The Dataplex entity that represents the data source (e.g. BigQuery table) for DataScan, of the form: projects/{project_number}/locations/{location_id}/lakes/{lake_id}/zones/{zone_id}/entities/{entity_id}.

entity String: Immutable. The Dataplex entity that represents the data source (e.g. BigQuery table) for DataScan, of the form: projects/{project_number}/locations/{location_id}/lakes/{lake_id}/zones/{zone_id}/entities/{entity_id}.

entity string: Immutable. The Dataplex entity that represents the data source (e.g. BigQuery table) for DataScan, of the form: projects/{project_number}/locations/{location_id}/lakes/{lake_id}/zones/{zone_id}/entities/{entity_id}.

entity str: Immutable. The Dataplex entity that represents the data source (e.g. BigQuery table) for DataScan, of the form: projects/{project_number}/locations/{location_id}/lakes/{lake_id}/zones/{zone_id}/entities/{entity_id}.

entity String: Immutable. The Dataplex entity that represents the data source (e.g. BigQuery table) for DataScan, of the form: projects/{project_number}/locations/{location_id}/lakes/{lake_id}/zones/{zone_id}/entities/{entity_id}.

GoogleCloudDataplexV1ScannedDataIncrementalFieldResponse

End string: Value that marks the end of the range.
Field string: The field that contains values which monotonically increases over time (e.g. a timestamp column).
Start string: Value that marks the start of the range.

End string: Value that marks the end of the range.
Field string: The field that contains values which monotonically increases over time (e.g. a timestamp column).
Start string: Value that marks the start of the range.

end String: Value that marks the end of the range.
field String: The field that contains values which monotonically increases over time (e.g. a timestamp column).
start String: Value that marks the start of the range.

end string: Value that marks the end of the range.
field string: The field that contains values which monotonically increases over time (e.g. a timestamp column).
start string: Value that marks the start of the range.

end str: Value that marks the end of the range.
field str: The field that contains values which monotonically increases over time (e.g. a timestamp column).
start str: Value that marks the start of the range.

end String: Value that marks the end of the range.
field String: The field that contains values which monotonically increases over time (e.g. a timestamp column).
start String: Value that marks the start of the range.

GoogleCloudDataplexV1ScannedDataResponse

IncrementalField Pulumi.GoogleNative.Dataplex.V1.Inputs.GoogleCloudDataplexV1ScannedDataIncrementalFieldResponse: The range denoted by values of an incremental field

IncrementalField GoogleCloudDataplexV1ScannedDataIncrementalFieldResponse: The range denoted by values of an incremental field

incrementalField GoogleCloudDataplexV1ScannedDataIncrementalFieldResponse: The range denoted by values of an incremental field

incrementalField GoogleCloudDataplexV1ScannedDataIncrementalFieldResponse: The range denoted by values of an incremental field

incremental_field GoogleCloudDataplexV1ScannedDataIncrementalFieldResponse: The range denoted by values of an incremental field

incrementalField Property Map: The range denoted by values of an incremental field

GoogleCloudDataplexV1TriggerResponse

OnDemand Pulumi.GoogleNative.Dataplex.V1.Inputs.GoogleCloudDataplexV1TriggerOnDemandResponse: The scan runs once via RunDataScan API.
Schedule Pulumi.GoogleNative.Dataplex.V1.Inputs.GoogleCloudDataplexV1TriggerScheduleResponse: The scan is scheduled to run periodically.

OnDemand GoogleCloudDataplexV1TriggerOnDemandResponse: The scan runs once via RunDataScan API.
Schedule GoogleCloudDataplexV1TriggerScheduleResponse: The scan is scheduled to run periodically.

onDemand GoogleCloudDataplexV1TriggerOnDemandResponse: The scan runs once via RunDataScan API.
schedule GoogleCloudDataplexV1TriggerScheduleResponse: The scan is scheduled to run periodically.

onDemand GoogleCloudDataplexV1TriggerOnDemandResponse: The scan runs once via RunDataScan API.
schedule GoogleCloudDataplexV1TriggerScheduleResponse: The scan is scheduled to run periodically.

on_demand GoogleCloudDataplexV1TriggerOnDemandResponse: The scan runs once via RunDataScan API.
schedule GoogleCloudDataplexV1TriggerScheduleResponse: The scan is scheduled to run periodically.

onDemand Property Map: The scan runs once via RunDataScan API.
schedule Property Map: The scan is scheduled to run periodically.

GoogleCloudDataplexV1TriggerScheduleResponse

Cron string: Cron (https://en.wikipedia.org/wiki/Cron) schedule for running scans periodically.To explicitly set a timezone in the cron tab, apply a prefix in the cron tab: "CRON_TZ=${IANA_TIME_ZONE}" or "TZ=${IANA_TIME_ZONE}". The ${IANA_TIME_ZONE} may only be a valid string from IANA time zone database (wikipedia (https://en.wikipedia.org/wiki/List_of_tz_database_time_zones#List)). For example, CRON_TZ=America/New_York 1 * * * *, or TZ=America/New_York 1 * * * *.This field is required for Schedule scans.

Cron string: Cron (https://en.wikipedia.org/wiki/Cron) schedule for running scans periodically.To explicitly set a timezone in the cron tab, apply a prefix in the cron tab: "CRON_TZ=${IANA_TIME_ZONE}" or "TZ=${IANA_TIME_ZONE}". The ${IANA_TIME_ZONE} may only be a valid string from IANA time zone database (wikipedia (https://en.wikipedia.org/wiki/List_of_tz_database_time_zones#List)). For example, CRON_TZ=America/New_York 1 * * * *, or TZ=America/New_York 1 * * * *.This field is required for Schedule scans.

cron String: Cron (https://en.wikipedia.org/wiki/Cron) schedule for running scans periodically.To explicitly set a timezone in the cron tab, apply a prefix in the cron tab: "CRON_TZ=${IANA_TIME_ZONE}" or "TZ=${IANA_TIME_ZONE}". The ${IANA_TIME_ZONE} may only be a valid string from IANA time zone database (wikipedia (https://en.wikipedia.org/wiki/List_of_tz_database_time_zones#List)). For example, CRON_TZ=America/New_York 1 * * * *, or TZ=America/New_York 1 * * * *.This field is required for Schedule scans.

cron string: Cron (https://en.wikipedia.org/wiki/Cron) schedule for running scans periodically.To explicitly set a timezone in the cron tab, apply a prefix in the cron tab: "CRON_TZ=${IANA_TIME_ZONE}" or "TZ=${IANA_TIME_ZONE}". The ${IANA_TIME_ZONE} may only be a valid string from IANA time zone database (wikipedia (https://en.wikipedia.org/wiki/List_of_tz_database_time_zones#List)). For example, CRON_TZ=America/New_York 1 * * * *, or TZ=America/New_York 1 * * * *.This field is required for Schedule scans.

cron str: Cron (https://en.wikipedia.org/wiki/Cron) schedule for running scans periodically.To explicitly set a timezone in the cron tab, apply a prefix in the cron tab: "CRON_TZ=${IANA_TIME_ZONE}" or "TZ=${IANA_TIME_ZONE}". The ${IANA_TIME_ZONE} may only be a valid string from IANA time zone database (wikipedia (https://en.wikipedia.org/wiki/List_of_tz_database_time_zones#List)). For example, CRON_TZ=America/New_York 1 * * * *, or TZ=America/New_York 1 * * * *.This field is required for Schedule scans.

cron String: Cron (https://en.wikipedia.org/wiki/Cron) schedule for running scans periodically.To explicitly set a timezone in the cron tab, apply a prefix in the cron tab: "CRON_TZ=${IANA_TIME_ZONE}" or "TZ=${IANA_TIME_ZONE}". The ${IANA_TIME_ZONE} may only be a valid string from IANA time zone database (wikipedia (https://en.wikipedia.org/wiki/List_of_tz_database_time_zones#List)). For example, CRON_TZ=America/New_York 1 * * * *, or TZ=America/New_York 1 * * * *.This field is required for Schedule scans.

Package Details

Repository: Google Cloud Native pulumi/pulumi-google-native
License: Apache-2.0