Google Cloud Native v0.32.0, Nov 29 23

Google Cloud Native is in preview. Google Cloud Classic is fully supported.

Google Cloud Native v0.32.0 published on Wednesday, Nov 29, 2023 by Pulumi

pulumi/pulumi-google-native

google-native.dataplex/v1.getDataScan

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Google Cloud Native is in preview. Google Cloud Classic is fully supported.

Google Cloud Native v0.32.0 published on Wednesday, Nov 29, 2023 by Pulumi

pulumi/pulumi-google-native

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

GoogleCloudDataplexV1DataProfileResultPostScanActionsResultBigQueryExportResultResponse

Message string: Additional information about the BigQuery exporting.
State string: Execution state for the BigQuery exporting.

Message string: Additional information about the BigQuery exporting.
State string: Execution state for the BigQuery exporting.

message String: Additional information about the BigQuery exporting.
state String: Execution state for the BigQuery exporting.

message string: Additional information about the BigQuery exporting.
state string: Execution state for the BigQuery exporting.

message str: Additional information about the BigQuery exporting.
state str: Execution state for the BigQuery exporting.

message String: Additional information about the BigQuery exporting.
state String: Execution state for the BigQuery exporting.

GoogleCloudDataplexV1DataProfileResultPostScanActionsResultResponse

BigqueryExportResult Pulumi.GoogleNative.Dataplex.V1.Inputs.GoogleCloudDataplexV1DataProfileResultPostScanActionsResultBigQueryExportResultResponse: The result of BigQuery export post scan action.

BigqueryExportResult GoogleCloudDataplexV1DataProfileResultPostScanActionsResultBigQueryExportResultResponse: The result of BigQuery export post scan action.

bigqueryExportResult GoogleCloudDataplexV1DataProfileResultPostScanActionsResultBigQueryExportResultResponse: The result of BigQuery export post scan action.

bigqueryExportResult GoogleCloudDataplexV1DataProfileResultPostScanActionsResultBigQueryExportResultResponse: The result of BigQuery export post scan action.

bigquery_export_result GoogleCloudDataplexV1DataProfileResultPostScanActionsResultBigQueryExportResultResponse: The result of BigQuery export post scan action.

bigqueryExportResult Property Map: The result of BigQuery export post scan action.

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 approximate 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 approximate 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 approximate 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 approximate 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 approximate 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 approximate 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, frequency and ratio with which 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, frequency and ratio with which 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, frequency and ratio with which 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, frequency and ratio with which 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, frequency and ratio with which 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, frequency and ratio with which 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.
Ratio double: Ratio of the corresponding value in the field against the total number of rows 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.
Ratio float64: Ratio of the corresponding value in the field against the total number of rows 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.
ratio Double: Ratio of the corresponding value in the field against the total number of rows 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.
ratio number: Ratio of the corresponding value in the field against the total number of rows 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.
ratio float: Ratio of the corresponding value in the field against the total number of rows 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.
ratio Number: Ratio of the corresponding value in the field against the total number of rows 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 data type retrieved from the schema of the data source. For instance, for a BigQuery native table, it is the BigQuery Table Schema (https://cloud.google.com/bigquery/docs/reference/rest/v2/tables#tablefieldschema). For a Dataplex Entity, it is the Entity Schema (https://cloud.google.com/dataplex/docs/reference/rpc/google.cloud.dataplex.v1#type_3).

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 data type retrieved from the schema of the data source. For instance, for a BigQuery native table, it is the BigQuery Table Schema (https://cloud.google.com/bigquery/docs/reference/rest/v2/tables#tablefieldschema). For a Dataplex Entity, it is the Entity Schema (https://cloud.google.com/dataplex/docs/reference/rpc/google.cloud.dataplex.v1#type_3).

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 data type retrieved from the schema of the data source. For instance, for a BigQuery native table, it is the BigQuery Table Schema (https://cloud.google.com/bigquery/docs/reference/rest/v2/tables#tablefieldschema). For a Dataplex Entity, it is the Entity Schema (https://cloud.google.com/dataplex/docs/reference/rpc/google.cloud.dataplex.v1#type_3).

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 data type retrieved from the schema of the data source. For instance, for a BigQuery native table, it is the BigQuery Table Schema (https://cloud.google.com/bigquery/docs/reference/rest/v2/tables#tablefieldschema). For a Dataplex Entity, it is the Entity Schema (https://cloud.google.com/dataplex/docs/reference/rpc/google.cloud.dataplex.v1#type_3).

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 data type retrieved from the schema of the data source. For instance, for a BigQuery native table, it is the BigQuery Table Schema (https://cloud.google.com/bigquery/docs/reference/rest/v2/tables#tablefieldschema). For a Dataplex Entity, it is the Entity Schema (https://cloud.google.com/dataplex/docs/reference/rpc/google.cloud.dataplex.v1#type_3).

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 data type retrieved from the schema of the data source. For instance, for a BigQuery native table, it is the BigQuery Table Schema (https://cloud.google.com/bigquery/docs/reference/rest/v2/tables#tablefieldschema). For a Dataplex Entity, it is the Entity Schema (https://cloud.google.com/dataplex/docs/reference/rpc/google.cloud.dataplex.v1#type_3).

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

PostScanActionsResult Pulumi.GoogleNative.Dataplex.V1.Inputs.GoogleCloudDataplexV1DataProfileResultPostScanActionsResultResponse: The result of post scan actions.
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.

PostScanActionsResult GoogleCloudDataplexV1DataProfileResultPostScanActionsResultResponse: The result of post scan actions.
Profile GoogleCloudDataplexV1DataProfileResultProfileResponse: The profile information per field.
RowCount string: The count of rows scanned.
ScannedData GoogleCloudDataplexV1ScannedDataResponse: The data scanned for this result.

postScanActionsResult GoogleCloudDataplexV1DataProfileResultPostScanActionsResultResponse: The result of post scan actions.
profile GoogleCloudDataplexV1DataProfileResultProfileResponse: The profile information per field.
rowCount String: The count of rows scanned.
scannedData GoogleCloudDataplexV1ScannedDataResponse: The data scanned for this result.

postScanActionsResult GoogleCloudDataplexV1DataProfileResultPostScanActionsResultResponse: The result of post scan actions.
profile GoogleCloudDataplexV1DataProfileResultProfileResponse: The profile information per field.
rowCount string: The count of rows scanned.
scannedData GoogleCloudDataplexV1ScannedDataResponse: The data scanned for this result.

post_scan_actions_result GoogleCloudDataplexV1DataProfileResultPostScanActionsResultResponse: The result of post scan actions.
profile GoogleCloudDataplexV1DataProfileResultProfileResponse: The profile information per field.
row_count str: The count of rows scanned.
scanned_data GoogleCloudDataplexV1ScannedDataResponse: The data scanned for this result.

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

GoogleCloudDataplexV1DataProfileSpecPostScanActionsBigQueryExportResponse

ResultsTable string: Optional. The BigQuery table to export DataProfileScan results to. Format: //bigquery.googleapis.com/projects/PROJECT_ID/datasets/DATASET_ID/tables/TABLE_ID

ResultsTable string: Optional. The BigQuery table to export DataProfileScan results to. Format: //bigquery.googleapis.com/projects/PROJECT_ID/datasets/DATASET_ID/tables/TABLE_ID

resultsTable String: Optional. The BigQuery table to export DataProfileScan results to. Format: //bigquery.googleapis.com/projects/PROJECT_ID/datasets/DATASET_ID/tables/TABLE_ID

resultsTable string: Optional. The BigQuery table to export DataProfileScan results to. Format: //bigquery.googleapis.com/projects/PROJECT_ID/datasets/DATASET_ID/tables/TABLE_ID

results_table str: Optional. The BigQuery table to export DataProfileScan results to. Format: //bigquery.googleapis.com/projects/PROJECT_ID/datasets/DATASET_ID/tables/TABLE_ID

resultsTable String: Optional. The BigQuery table to export DataProfileScan results to. Format: //bigquery.googleapis.com/projects/PROJECT_ID/datasets/DATASET_ID/tables/TABLE_ID

GoogleCloudDataplexV1DataProfileSpecPostScanActionsResponse

BigqueryExport Pulumi.GoogleNative.Dataplex.V1.Inputs.GoogleCloudDataplexV1DataProfileSpecPostScanActionsBigQueryExportResponse: Optional. If set, results will be exported to the provided BigQuery table.

BigqueryExport GoogleCloudDataplexV1DataProfileSpecPostScanActionsBigQueryExportResponse: Optional. If set, results will be exported to the provided BigQuery table.

bigqueryExport GoogleCloudDataplexV1DataProfileSpecPostScanActionsBigQueryExportResponse: Optional. If set, results will be exported to the provided BigQuery table.

bigqueryExport GoogleCloudDataplexV1DataProfileSpecPostScanActionsBigQueryExportResponse: Optional. If set, results will be exported to the provided BigQuery table.

bigquery_export GoogleCloudDataplexV1DataProfileSpecPostScanActionsBigQueryExportResponse: Optional. If set, results will be exported to the provided BigQuery table.

bigqueryExport Property Map: Optional. If set, results will be exported to the provided BigQuery table.

GoogleCloudDataplexV1DataProfileSpecResponse

ExcludeFields Pulumi.GoogleNative.Dataplex.V1.Inputs.GoogleCloudDataplexV1DataProfileSpecSelectedFieldsResponse: Optional. The fields to exclude from data profile.If specified, the fields will be excluded from data profile, regardless of include_fields value.
IncludeFields Pulumi.GoogleNative.Dataplex.V1.Inputs.GoogleCloudDataplexV1DataProfileSpecSelectedFieldsResponse: Optional. The fields to include in data profile.If not specified, all fields at the time of profile scan job execution are included, except for ones listed in exclude_fields.
PostScanActions Pulumi.GoogleNative.Dataplex.V1.Inputs.GoogleCloudDataplexV1DataProfileSpecPostScanActionsResponse: Optional. Actions to take upon job completion..
RowFilter string: Optional. A filter applied to all rows in a single DataScan job. The filter needs to be a valid SQL expression for a WHERE clause in BigQuery standard SQL syntax. Example: col1 >= 0 AND col2 < 10
SamplingPercent double: Optional. The percentage of the records to be selected from the dataset for DataScan. Value can range between 0.0 and 100.0 with up to 3 significant decimal digits. Sampling is not applied if sampling_percent is not specified, 0 or 100.

ExcludeFields GoogleCloudDataplexV1DataProfileSpecSelectedFieldsResponse: Optional. The fields to exclude from data profile.If specified, the fields will be excluded from data profile, regardless of include_fields value.
IncludeFields GoogleCloudDataplexV1DataProfileSpecSelectedFieldsResponse: Optional. The fields to include in data profile.If not specified, all fields at the time of profile scan job execution are included, except for ones listed in exclude_fields.
PostScanActions GoogleCloudDataplexV1DataProfileSpecPostScanActionsResponse: Optional. Actions to take upon job completion..
RowFilter string: Optional. A filter applied to all rows in a single DataScan job. The filter needs to be a valid SQL expression for a WHERE clause in BigQuery standard SQL syntax. Example: col1 >= 0 AND col2 < 10
SamplingPercent float64: Optional. The percentage of the records to be selected from the dataset for DataScan. Value can range between 0.0 and 100.0 with up to 3 significant decimal digits. Sampling is not applied if sampling_percent is not specified, 0 or 100.

excludeFields GoogleCloudDataplexV1DataProfileSpecSelectedFieldsResponse: Optional. The fields to exclude from data profile.If specified, the fields will be excluded from data profile, regardless of include_fields value.
includeFields GoogleCloudDataplexV1DataProfileSpecSelectedFieldsResponse: Optional. The fields to include in data profile.If not specified, all fields at the time of profile scan job execution are included, except for ones listed in exclude_fields.
postScanActions GoogleCloudDataplexV1DataProfileSpecPostScanActionsResponse: Optional. Actions to take upon job completion..
rowFilter String: Optional. A filter applied to all rows in a single DataScan job. The filter needs to be a valid SQL expression for a WHERE clause in BigQuery standard SQL syntax. Example: col1 >= 0 AND col2 < 10
samplingPercent Double: Optional. The percentage of the records to be selected from the dataset for DataScan. Value can range between 0.0 and 100.0 with up to 3 significant decimal digits. Sampling is not applied if sampling_percent is not specified, 0 or 100.

excludeFields GoogleCloudDataplexV1DataProfileSpecSelectedFieldsResponse: Optional. The fields to exclude from data profile.If specified, the fields will be excluded from data profile, regardless of include_fields value.
includeFields GoogleCloudDataplexV1DataProfileSpecSelectedFieldsResponse: Optional. The fields to include in data profile.If not specified, all fields at the time of profile scan job execution are included, except for ones listed in exclude_fields.
postScanActions GoogleCloudDataplexV1DataProfileSpecPostScanActionsResponse: Optional. Actions to take upon job completion..
rowFilter string: Optional. A filter applied to all rows in a single DataScan job. The filter needs to be a valid SQL expression for a WHERE clause in BigQuery standard SQL syntax. Example: col1 >= 0 AND col2 < 10
samplingPercent number: Optional. The percentage of the records to be selected from the dataset for DataScan. Value can range between 0.0 and 100.0 with up to 3 significant decimal digits. Sampling is not applied if sampling_percent is not specified, 0 or 100.

exclude_fields GoogleCloudDataplexV1DataProfileSpecSelectedFieldsResponse: Optional. The fields to exclude from data profile.If specified, the fields will be excluded from data profile, regardless of include_fields value.
include_fields GoogleCloudDataplexV1DataProfileSpecSelectedFieldsResponse: Optional. The fields to include in data profile.If not specified, all fields at the time of profile scan job execution are included, except for ones listed in exclude_fields.
post_scan_actions GoogleCloudDataplexV1DataProfileSpecPostScanActionsResponse: Optional. Actions to take upon job completion..
row_filter str: Optional. A filter applied to all rows in a single DataScan job. The filter needs to be a valid SQL expression for a WHERE clause in BigQuery standard SQL syntax. Example: col1 >= 0 AND col2 < 10
sampling_percent float: Optional. The percentage of the records to be selected from the dataset for DataScan. Value can range between 0.0 and 100.0 with up to 3 significant decimal digits. Sampling is not applied if sampling_percent is not specified, 0 or 100.

excludeFields Property Map: Optional. The fields to exclude from data profile.If specified, the fields will be excluded from data profile, regardless of include_fields value.
includeFields Property Map: Optional. The fields to include in data profile.If not specified, all fields at the time of profile scan job execution are included, except for ones listed in exclude_fields.
postScanActions Property Map: Optional. Actions to take upon job completion..
rowFilter String: Optional. A filter applied to all rows in a single DataScan job. The filter needs to be a valid SQL expression for a WHERE clause in BigQuery standard SQL syntax. Example: col1 >= 0 AND col2 < 10
samplingPercent Number: Optional. The percentage of the records to be selected from the dataset for DataScan. Value can range between 0.0 and 100.0 with up to 3 significant decimal digits. Sampling is not applied if sampling_percent is not specified, 0 or 100.

GoogleCloudDataplexV1DataProfileSpecSelectedFieldsResponse

FieldNames List<string>: Optional. Expected input is a list of fully qualified names of fields as in the schema.Only top-level field names for nested fields are supported. For instance, if 'x' is of nested field type, listing 'x' is supported but 'x.y.z' is not supported. Here 'y' and 'y.z' are nested fields of 'x'.

FieldNames []string: Optional. Expected input is a list of fully qualified names of fields as in the schema.Only top-level field names for nested fields are supported. For instance, if 'x' is of nested field type, listing 'x' is supported but 'x.y.z' is not supported. Here 'y' and 'y.z' are nested fields of 'x'.

fieldNames List<String>: Optional. Expected input is a list of fully qualified names of fields as in the schema.Only top-level field names for nested fields are supported. For instance, if 'x' is of nested field type, listing 'x' is supported but 'x.y.z' is not supported. Here 'y' and 'y.z' are nested fields of 'x'.

fieldNames string[]: Optional. Expected input is a list of fully qualified names of fields as in the schema.Only top-level field names for nested fields are supported. For instance, if 'x' is of nested field type, listing 'x' is supported but 'x.y.z' is not supported. Here 'y' and 'y.z' are nested fields of 'x'.

field_names Sequence[str]: Optional. Expected input is a list of fully qualified names of fields as in the schema.Only top-level field names for nested fields are supported. For instance, if 'x' is of nested field type, listing 'x' is supported but 'x.y.z' is not supported. Here 'y' and 'y.z' are nested fields of 'x'.

fieldNames List<String>: Optional. Expected input is a list of fully qualified names of fields as in the schema.Only top-level field names for nested fields are supported. For instance, if 'x' is of nested field type, listing 'x' is supported but 'x.y.z' is not supported. Here 'y' and 'y.z' are nested fields of 'x'.

GoogleCloudDataplexV1DataQualityColumnResultResponse

Column string: The column specified in the DataQualityRule.
Score double: The column-level data quality score for this data scan job if and only if the 'column' field is set.The score ranges between between 0, 100 (up to two decimal points).

Column string: The column specified in the DataQualityRule.
Score float64: The column-level data quality score for this data scan job if and only if the 'column' field is set.The score ranges between between 0, 100 (up to two decimal points).

column String: The column specified in the DataQualityRule.
score Double: The column-level data quality score for this data scan job if and only if the 'column' field is set.The score ranges between between 0, 100 (up to two decimal points).

column string: The column specified in the DataQualityRule.
score number: The column-level data quality score for this data scan job if and only if the 'column' field is set.The score ranges between between 0, 100 (up to two decimal points).

column str: The column specified in the DataQualityRule.
score float: The column-level data quality score for this data scan job if and only if the 'column' field is set.The score ranges between between 0, 100 (up to two decimal points).

column String: The column specified in the DataQualityRule.
score Number: The column-level data quality score for this data scan job if and only if the 'column' field is set.The score ranges between between 0, 100 (up to two decimal points).

GoogleCloudDataplexV1DataQualityDimensionResponse

Name string: The dimension name a rule belongs to. Supported dimensions are "COMPLETENESS", "ACCURACY", "CONSISTENCY", "VALIDITY", "UNIQUENESS", "INTEGRITY"

Name string: The dimension name a rule belongs to. Supported dimensions are "COMPLETENESS", "ACCURACY", "CONSISTENCY", "VALIDITY", "UNIQUENESS", "INTEGRITY"

name String: The dimension name a rule belongs to. Supported dimensions are "COMPLETENESS", "ACCURACY", "CONSISTENCY", "VALIDITY", "UNIQUENESS", "INTEGRITY"

name string: The dimension name a rule belongs to. Supported dimensions are "COMPLETENESS", "ACCURACY", "CONSISTENCY", "VALIDITY", "UNIQUENESS", "INTEGRITY"

name str: The dimension name a rule belongs to. Supported dimensions are "COMPLETENESS", "ACCURACY", "CONSISTENCY", "VALIDITY", "UNIQUENESS", "INTEGRITY"

name String: The dimension name a rule belongs to. Supported dimensions are "COMPLETENESS", "ACCURACY", "CONSISTENCY", "VALIDITY", "UNIQUENESS", "INTEGRITY"

GoogleCloudDataplexV1DataQualityDimensionResultResponse

Dimension Pulumi.GoogleNative.Dataplex.V1.Inputs.GoogleCloudDataplexV1DataQualityDimensionResponse: The dimension config specified in the DataQualitySpec, as is.
Passed bool: Whether the dimension passed or failed.
Score double: The dimension-level data quality score for this data scan job if and only if the 'dimension' field is set.The score ranges between 0, 100 (up to two decimal points).

Dimension GoogleCloudDataplexV1DataQualityDimensionResponse: The dimension config specified in the DataQualitySpec, as is.
Passed bool: Whether the dimension passed or failed.
Score float64: The dimension-level data quality score for this data scan job if and only if the 'dimension' field is set.The score ranges between 0, 100 (up to two decimal points).

dimension GoogleCloudDataplexV1DataQualityDimensionResponse: The dimension config specified in the DataQualitySpec, as is.
passed Boolean: Whether the dimension passed or failed.
score Double: The dimension-level data quality score for this data scan job if and only if the 'dimension' field is set.The score ranges between 0, 100 (up to two decimal points).

dimension GoogleCloudDataplexV1DataQualityDimensionResponse: The dimension config specified in the DataQualitySpec, as is.
passed boolean: Whether the dimension passed or failed.
score number: The dimension-level data quality score for this data scan job if and only if the 'dimension' field is set.The score ranges between 0, 100 (up to two decimal points).

dimension GoogleCloudDataplexV1DataQualityDimensionResponse: The dimension config specified in the DataQualitySpec, as is.
passed bool: Whether the dimension passed or failed.
score float: The dimension-level data quality score for this data scan job if and only if the 'dimension' field is set.The score ranges between 0, 100 (up to two decimal points).

dimension Property Map: The dimension config specified in the DataQualitySpec, as is.
passed Boolean: Whether the dimension passed or failed.
score Number: The dimension-level data quality score for this data scan job if and only if the 'dimension' field is set.The score ranges between 0, 100 (up to two decimal points).

GoogleCloudDataplexV1DataQualityResultPostScanActionsResultBigQueryExportResultResponse

Message string: Additional information about the BigQuery exporting.
State string: Execution state for the BigQuery exporting.

Message string: Additional information about the BigQuery exporting.
State string: Execution state for the BigQuery exporting.

message String: Additional information about the BigQuery exporting.
state String: Execution state for the BigQuery exporting.

message string: Additional information about the BigQuery exporting.
state string: Execution state for the BigQuery exporting.

message str: Additional information about the BigQuery exporting.
state str: Execution state for the BigQuery exporting.

message String: Additional information about the BigQuery exporting.
state String: Execution state for the BigQuery exporting.

GoogleCloudDataplexV1DataQualityResultPostScanActionsResultResponse

BigqueryExportResult Pulumi.GoogleNative.Dataplex.V1.Inputs.GoogleCloudDataplexV1DataQualityResultPostScanActionsResultBigQueryExportResultResponse: The result of BigQuery export post scan action.

BigqueryExportResult GoogleCloudDataplexV1DataQualityResultPostScanActionsResultBigQueryExportResultResponse: The result of BigQuery export post scan action.

bigqueryExportResult GoogleCloudDataplexV1DataQualityResultPostScanActionsResultBigQueryExportResultResponse: The result of BigQuery export post scan action.

bigqueryExportResult GoogleCloudDataplexV1DataQualityResultPostScanActionsResultBigQueryExportResultResponse: The result of BigQuery export post scan action.

bigquery_export_result GoogleCloudDataplexV1DataQualityResultPostScanActionsResultBigQueryExportResultResponse: The result of BigQuery export post scan action.

bigqueryExportResult Property Map: The result of BigQuery export post scan action.

GoogleCloudDataplexV1DataQualityResultResponse

Columns List<Pulumi.GoogleNative.Dataplex.V1.Inputs.GoogleCloudDataplexV1DataQualityColumnResultResponse>: A list of results at the column level.A column will have a corresponding DataQualityColumnResult if and only if there is at least one rule with the 'column' field set to it.
Dimensions List<Pulumi.GoogleNative.Dataplex.V1.Inputs.GoogleCloudDataplexV1DataQualityDimensionResultResponse>: A list of results at the dimension level.A dimension will have a corresponding DataQualityDimensionResult if and only if there is at least one rule with the 'dimension' field set to it.
Passed bool: Overall data quality result -- true if all rules passed.
PostScanActionsResult Pulumi.GoogleNative.Dataplex.V1.Inputs.GoogleCloudDataplexV1DataQualityResultPostScanActionsResultResponse: The result of post scan actions.
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.
Score double: The overall data quality score.The score ranges between 0, 100 (up to two decimal points).

Columns []GoogleCloudDataplexV1DataQualityColumnResultResponse: A list of results at the column level.A column will have a corresponding DataQualityColumnResult if and only if there is at least one rule with the 'column' field set to it.
Dimensions []GoogleCloudDataplexV1DataQualityDimensionResultResponse: A list of results at the dimension level.A dimension will have a corresponding DataQualityDimensionResult if and only if there is at least one rule with the 'dimension' field set to it.
Passed bool: Overall data quality result -- true if all rules passed.
PostScanActionsResult GoogleCloudDataplexV1DataQualityResultPostScanActionsResultResponse: The result of post scan actions.
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.
Score float64: The overall data quality score.The score ranges between 0, 100 (up to two decimal points).

columns List<GoogleCloudDataplexV1DataQualityColumnResultResponse>: A list of results at the column level.A column will have a corresponding DataQualityColumnResult if and only if there is at least one rule with the 'column' field set to it.
dimensions List<GoogleCloudDataplexV1DataQualityDimensionResultResponse>: A list of results at the dimension level.A dimension will have a corresponding DataQualityDimensionResult if and only if there is at least one rule with the 'dimension' field set to it.
passed Boolean: Overall data quality result -- true if all rules passed.
postScanActionsResult GoogleCloudDataplexV1DataQualityResultPostScanActionsResultResponse: The result of post scan actions.
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.
score Double: The overall data quality score.The score ranges between 0, 100 (up to two decimal points).

columns GoogleCloudDataplexV1DataQualityColumnResultResponse[]: A list of results at the column level.A column will have a corresponding DataQualityColumnResult if and only if there is at least one rule with the 'column' field set to it.
dimensions GoogleCloudDataplexV1DataQualityDimensionResultResponse[]: A list of results at the dimension level.A dimension will have a corresponding DataQualityDimensionResult if and only if there is at least one rule with the 'dimension' field set to it.
passed boolean: Overall data quality result -- true if all rules passed.
postScanActionsResult GoogleCloudDataplexV1DataQualityResultPostScanActionsResultResponse: The result of post scan actions.
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.
score number: The overall data quality score.The score ranges between 0, 100 (up to two decimal points).

columns Sequence[GoogleCloudDataplexV1DataQualityColumnResultResponse]: A list of results at the column level.A column will have a corresponding DataQualityColumnResult if and only if there is at least one rule with the 'column' field set to it.
dimensions Sequence[GoogleCloudDataplexV1DataQualityDimensionResultResponse]: A list of results at the dimension level.A dimension will have a corresponding DataQualityDimensionResult if and only if there is at least one rule with the 'dimension' field set to it.
passed bool: Overall data quality result -- true if all rules passed.
post_scan_actions_result GoogleCloudDataplexV1DataQualityResultPostScanActionsResultResponse: The result of post scan actions.
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.
score float: The overall data quality score.The score ranges between 0, 100 (up to two decimal points).

columns List<Property Map>: A list of results at the column level.A column will have a corresponding DataQualityColumnResult if and only if there is at least one rule with the 'column' field set to it.
dimensions List<Property Map>: A list of results at the dimension level.A dimension will have a corresponding DataQualityDimensionResult if and only if there is at least one rule with the 'dimension' field set to it.
passed Boolean: Overall data quality result -- true if all rules passed.
postScanActionsResult Property Map: The result of post scan actions.
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.
score Number: The overall data quality score.The score ranges between 0, 100 (up to two decimal points).

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

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

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

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

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

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

GoogleCloudDataplexV1DataQualityRuleResponse

Column string: Optional. The unnested column which this rule is evaluated against.
Description string: Optional. Description of the rule. The maximum length is 1,024 characters.
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.This field is only valid for row-level type rules.
Name string: Optional. A mutable name for the rule. The name must contain only letters (a-z, A-Z), numbers (0-9), or hyphens (-). The maximum length is 63 characters. Must start with a letter. Must end with a number or a letter.
NonNullExpectation Pulumi.GoogleNative.Dataplex.V1.Inputs.GoogleCloudDataplexV1DataQualityRuleNonNullExpectationResponse: Row-level rule which evaluates whether each column value is null.
RangeExpectation Pulumi.GoogleNative.Dataplex.V1.Inputs.GoogleCloudDataplexV1DataQualityRuleRangeExpectationResponse: Row-level rule which evaluates whether each column value lies between a specified range.
RegexExpectation Pulumi.GoogleNative.Dataplex.V1.Inputs.GoogleCloudDataplexV1DataQualityRuleRegexExpectationResponse: Row-level rule which evaluates whether each column value matches a specified regex.
RowConditionExpectation Pulumi.GoogleNative.Dataplex.V1.Inputs.GoogleCloudDataplexV1DataQualityRuleRowConditionExpectationResponse: Row-level rule which evaluates whether each row in a table passes the specified condition.
SetExpectation Pulumi.GoogleNative.Dataplex.V1.Inputs.GoogleCloudDataplexV1DataQualityRuleSetExpectationResponse: Row-level rule which evaluates whether each column value is contained by a specified set.
StatisticRangeExpectation Pulumi.GoogleNative.Dataplex.V1.Inputs.GoogleCloudDataplexV1DataQualityRuleStatisticRangeExpectationResponse: Aggregate rule which evaluates whether the column aggregate statistic lies between a specified range.
TableConditionExpectation Pulumi.GoogleNative.Dataplex.V1.Inputs.GoogleCloudDataplexV1DataQualityRuleTableConditionExpectationResponse: Aggregate rule which evaluates whether the provided expression is true for a table.
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).This field is only valid for row-level type rules.
UniquenessExpectation Pulumi.GoogleNative.Dataplex.V1.Inputs.GoogleCloudDataplexV1DataQualityRuleUniquenessExpectationResponse: Row-level rule which evaluates whether each column value is unique.

Column string: Optional. The unnested column which this rule is evaluated against.
Description string: Optional. Description of the rule. The maximum length is 1,024 characters.
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.This field is only valid for row-level type rules.
Name string: Optional. A mutable name for the rule. The name must contain only letters (a-z, A-Z), numbers (0-9), or hyphens (-). The maximum length is 63 characters. Must start with a letter. Must end with a number or a letter.
NonNullExpectation GoogleCloudDataplexV1DataQualityRuleNonNullExpectationResponse: Row-level rule which evaluates whether each column value is null.
RangeExpectation GoogleCloudDataplexV1DataQualityRuleRangeExpectationResponse: Row-level rule which evaluates whether each column value lies between a specified range.
RegexExpectation GoogleCloudDataplexV1DataQualityRuleRegexExpectationResponse: Row-level rule which evaluates whether each column value matches a specified regex.
RowConditionExpectation GoogleCloudDataplexV1DataQualityRuleRowConditionExpectationResponse: Row-level rule which evaluates whether each row in a table passes the specified condition.
SetExpectation GoogleCloudDataplexV1DataQualityRuleSetExpectationResponse: Row-level rule which evaluates whether each column value is contained by a specified set.
StatisticRangeExpectation GoogleCloudDataplexV1DataQualityRuleStatisticRangeExpectationResponse: Aggregate rule which evaluates whether the column aggregate statistic lies between a specified range.
TableConditionExpectation GoogleCloudDataplexV1DataQualityRuleTableConditionExpectationResponse: Aggregate rule which evaluates whether the provided expression is true for a table.
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).This field is only valid for row-level type rules.
UniquenessExpectation GoogleCloudDataplexV1DataQualityRuleUniquenessExpectationResponse: Row-level rule which evaluates whether each column value is unique.

column String: Optional. The unnested column which this rule is evaluated against.
description String: Optional. Description of the rule. The maximum length is 1,024 characters.
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.This field is only valid for row-level type rules.
name String: Optional. A mutable name for the rule. The name must contain only letters (a-z, A-Z), numbers (0-9), or hyphens (-). The maximum length is 63 characters. Must start with a letter. Must end with a number or a letter.
nonNullExpectation GoogleCloudDataplexV1DataQualityRuleNonNullExpectationResponse: Row-level rule which evaluates whether each column value is null.
rangeExpectation GoogleCloudDataplexV1DataQualityRuleRangeExpectationResponse: Row-level rule which evaluates whether each column value lies between a specified range.
regexExpectation GoogleCloudDataplexV1DataQualityRuleRegexExpectationResponse: Row-level rule which evaluates whether each column value matches a specified regex.
rowConditionExpectation GoogleCloudDataplexV1DataQualityRuleRowConditionExpectationResponse: Row-level rule which evaluates whether each row in a table passes the specified condition.
setExpectation GoogleCloudDataplexV1DataQualityRuleSetExpectationResponse: Row-level rule which evaluates whether each column value is contained by a specified set.
statisticRangeExpectation GoogleCloudDataplexV1DataQualityRuleStatisticRangeExpectationResponse: Aggregate rule which evaluates whether the column aggregate statistic lies between a specified range.
tableConditionExpectation GoogleCloudDataplexV1DataQualityRuleTableConditionExpectationResponse: Aggregate rule which evaluates whether the provided expression is true for a table.
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).This field is only valid for row-level type rules.
uniquenessExpectation GoogleCloudDataplexV1DataQualityRuleUniquenessExpectationResponse: Row-level rule which evaluates whether each column value is unique.

column string: Optional. The unnested column which this rule is evaluated against.
description string: Optional. Description of the rule. The maximum length is 1,024 characters.
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.This field is only valid for row-level type rules.
name string: Optional. A mutable name for the rule. The name must contain only letters (a-z, A-Z), numbers (0-9), or hyphens (-). The maximum length is 63 characters. Must start with a letter. Must end with a number or a letter.
nonNullExpectation GoogleCloudDataplexV1DataQualityRuleNonNullExpectationResponse: Row-level rule which evaluates whether each column value is null.
rangeExpectation GoogleCloudDataplexV1DataQualityRuleRangeExpectationResponse: Row-level rule which evaluates whether each column value lies between a specified range.
regexExpectation GoogleCloudDataplexV1DataQualityRuleRegexExpectationResponse: Row-level rule which evaluates whether each column value matches a specified regex.
rowConditionExpectation GoogleCloudDataplexV1DataQualityRuleRowConditionExpectationResponse: Row-level rule which evaluates whether each row in a table passes the specified condition.
setExpectation GoogleCloudDataplexV1DataQualityRuleSetExpectationResponse: Row-level rule which evaluates whether each column value is contained by a specified set.
statisticRangeExpectation GoogleCloudDataplexV1DataQualityRuleStatisticRangeExpectationResponse: Aggregate rule which evaluates whether the column aggregate statistic lies between a specified range.
tableConditionExpectation GoogleCloudDataplexV1DataQualityRuleTableConditionExpectationResponse: Aggregate rule which evaluates whether the provided expression is true for a table.
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).This field is only valid for row-level type rules.
uniquenessExpectation GoogleCloudDataplexV1DataQualityRuleUniquenessExpectationResponse: Row-level rule which evaluates whether each column value is unique.

column str: Optional. The unnested column which this rule is evaluated against.
description str: Optional. Description of the rule. The maximum length is 1,024 characters.
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.This field is only valid for row-level type rules.
name str: Optional. A mutable name for the rule. The name must contain only letters (a-z, A-Z), numbers (0-9), or hyphens (-). The maximum length is 63 characters. Must start with a letter. Must end with a number or a letter.
non_null_expectation GoogleCloudDataplexV1DataQualityRuleNonNullExpectationResponse: Row-level rule which evaluates whether each column value is null.
range_expectation GoogleCloudDataplexV1DataQualityRuleRangeExpectationResponse: Row-level rule which evaluates whether each column value lies between a specified range.
regex_expectation GoogleCloudDataplexV1DataQualityRuleRegexExpectationResponse: Row-level rule which evaluates whether each column value matches a specified regex.
row_condition_expectation GoogleCloudDataplexV1DataQualityRuleRowConditionExpectationResponse: Row-level rule which evaluates whether each row in a table passes the specified condition.
set_expectation GoogleCloudDataplexV1DataQualityRuleSetExpectationResponse: Row-level rule which evaluates whether each column value is contained by a specified set.
statistic_range_expectation GoogleCloudDataplexV1DataQualityRuleStatisticRangeExpectationResponse: Aggregate rule which evaluates whether the column aggregate statistic lies between a specified range.
table_condition_expectation GoogleCloudDataplexV1DataQualityRuleTableConditionExpectationResponse: Aggregate rule which evaluates whether the provided expression is true for a table.
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).This field is only valid for row-level type rules.
uniqueness_expectation GoogleCloudDataplexV1DataQualityRuleUniquenessExpectationResponse: Row-level rule which evaluates whether each column value is unique.

column String: Optional. The unnested column which this rule is evaluated against.
description String: Optional. Description of the rule. The maximum length is 1,024 characters.
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.This field is only valid for row-level type rules.
name String: Optional. A mutable name for the rule. The name must contain only letters (a-z, A-Z), numbers (0-9), or hyphens (-). The maximum length is 63 characters. Must start with a letter. Must end with a number or a letter.
nonNullExpectation Property Map: Row-level rule which evaluates whether each column value is null.
rangeExpectation Property Map: Row-level rule which evaluates whether each column value lies between a specified range.
regexExpectation Property Map: Row-level rule which evaluates whether each column value matches a specified regex.
rowConditionExpectation Property Map: Row-level rule which evaluates whether each row in a table passes the specified condition.
setExpectation Property Map: Row-level rule which evaluates whether each column value is contained by a specified set.
statisticRangeExpectation Property Map: Aggregate rule which evaluates whether the column aggregate statistic lies between a specified range.
tableConditionExpectation Property Map: Aggregate rule which evaluates whether the provided expression is true for a table.
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).This field is only valid for row-level type rules.
uniquenessExpectation Property Map: Row-level rule which evaluates whether each column value is unique.

GoogleCloudDataplexV1DataQualityRuleResultResponse

EvaluatedCount string: The number of rows a rule was evaluated against.This field is only valid for row-level 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.This field is only valid for row-level type 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 row-level 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 row-level 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 row-level 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.This field is only valid for row-level type 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 row-level 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 row-level 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 row-level 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.This field is only valid for row-level type 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 row-level 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 row-level 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 row-level 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.This field is only valid for row-level type 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 row-level 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 row-level 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 row-level 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.This field is only valid for row-level type 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 row-level 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 row-level 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 row-level 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.This field is only valid for row-level type 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 row-level 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 row-level type rules.
rule Property Map: The rule specified in the DataQualitySpec, as is.

GoogleCloudDataplexV1DataQualityRuleRowConditionExpectationResponse

SqlExpression string: Optional. The SQL expression.

SqlExpression string: Optional. The SQL expression.

sqlExpression String: Optional. The SQL expression.

sqlExpression string: Optional. The SQL expression.

sql_expression str: Optional. The SQL expression.

sqlExpression String: Optional. The SQL expression.

GoogleCloudDataplexV1DataQualityRuleSetExpectationResponse

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

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

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

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

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

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

GoogleCloudDataplexV1DataQualityRuleStatisticRangeExpectationResponse

MaxValue string: Optional. 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: Optional. 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: Optional. The aggregate metric to evaluate.
StrictMaxEnabled bool: Optional. 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: Optional. 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: Optional. 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: Optional. 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: Optional. The aggregate metric to evaluate.
StrictMaxEnabled bool: Optional. 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: Optional. 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: Optional. 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: Optional. 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: Optional. The aggregate metric to evaluate.
strictMaxEnabled Boolean: Optional. 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: Optional. 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: Optional. 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: Optional. 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: Optional. The aggregate metric to evaluate.
strictMaxEnabled boolean: Optional. 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: Optional. 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: Optional. 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: Optional. 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: Optional. The aggregate metric to evaluate.
strict_max_enabled bool: Optional. 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: Optional. 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: Optional. 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: Optional. 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: Optional. The aggregate metric to evaluate.
strictMaxEnabled Boolean: Optional. 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: Optional. 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: Optional. The SQL expression.

SqlExpression string: Optional. The SQL expression.

sqlExpression String: Optional. The SQL expression.

sqlExpression string: Optional. The SQL expression.

sql_expression str: Optional. The SQL expression.

sqlExpression String: Optional. The SQL expression.

GoogleCloudDataplexV1DataQualitySpecPostScanActionsBigQueryExportResponse

ResultsTable string: Optional. The BigQuery table to export DataQualityScan results to. Format: //bigquery.googleapis.com/projects/PROJECT_ID/datasets/DATASET_ID/tables/TABLE_ID

ResultsTable string: Optional. The BigQuery table to export DataQualityScan results to. Format: //bigquery.googleapis.com/projects/PROJECT_ID/datasets/DATASET_ID/tables/TABLE_ID

resultsTable String: Optional. The BigQuery table to export DataQualityScan results to. Format: //bigquery.googleapis.com/projects/PROJECT_ID/datasets/DATASET_ID/tables/TABLE_ID

resultsTable string: Optional. The BigQuery table to export DataQualityScan results to. Format: //bigquery.googleapis.com/projects/PROJECT_ID/datasets/DATASET_ID/tables/TABLE_ID

results_table str: Optional. The BigQuery table to export DataQualityScan results to. Format: //bigquery.googleapis.com/projects/PROJECT_ID/datasets/DATASET_ID/tables/TABLE_ID

resultsTable String: Optional. The BigQuery table to export DataQualityScan results to. Format: //bigquery.googleapis.com/projects/PROJECT_ID/datasets/DATASET_ID/tables/TABLE_ID

GoogleCloudDataplexV1DataQualitySpecPostScanActionsResponse

BigqueryExport Pulumi.GoogleNative.Dataplex.V1.Inputs.GoogleCloudDataplexV1DataQualitySpecPostScanActionsBigQueryExportResponse: Optional. If set, results will be exported to the provided BigQuery table.

BigqueryExport GoogleCloudDataplexV1DataQualitySpecPostScanActionsBigQueryExportResponse: Optional. If set, results will be exported to the provided BigQuery table.

bigqueryExport GoogleCloudDataplexV1DataQualitySpecPostScanActionsBigQueryExportResponse: Optional. If set, results will be exported to the provided BigQuery table.

bigqueryExport GoogleCloudDataplexV1DataQualitySpecPostScanActionsBigQueryExportResponse: Optional. If set, results will be exported to the provided BigQuery table.

bigquery_export GoogleCloudDataplexV1DataQualitySpecPostScanActionsBigQueryExportResponse: Optional. If set, results will be exported to the provided BigQuery table.

bigqueryExport Property Map: Optional. If set, results will be exported to the provided BigQuery table.

GoogleCloudDataplexV1DataQualitySpecResponse

PostScanActions Pulumi.GoogleNative.Dataplex.V1.Inputs.GoogleCloudDataplexV1DataQualitySpecPostScanActionsResponse: Optional. Actions to take upon job completion.
RowFilter string: Optional. A filter applied to all rows in a single DataScan job. The filter needs to be a valid SQL expression for a WHERE clause in BigQuery standard SQL syntax. Example: col1 >= 0 AND col2 < 10
Rules List<Pulumi.GoogleNative.Dataplex.V1.Inputs.GoogleCloudDataplexV1DataQualityRuleResponse>: The list of rules to evaluate against a data source. At least one rule is required.
SamplingPercent double: Optional. The percentage of the records to be selected from the dataset for DataScan. Value can range between 0.0 and 100.0 with up to 3 significant decimal digits. Sampling is not applied if sampling_percent is not specified, 0 or 100.

PostScanActions GoogleCloudDataplexV1DataQualitySpecPostScanActionsResponse: Optional. Actions to take upon job completion.
RowFilter string: Optional. A filter applied to all rows in a single DataScan job. The filter needs to be a valid SQL expression for a WHERE clause in BigQuery standard SQL syntax. Example: col1 >= 0 AND col2 < 10
Rules []GoogleCloudDataplexV1DataQualityRuleResponse: The list of rules to evaluate against a data source. At least one rule is required.
SamplingPercent float64: Optional. The percentage of the records to be selected from the dataset for DataScan. Value can range between 0.0 and 100.0 with up to 3 significant decimal digits. Sampling is not applied if sampling_percent is not specified, 0 or 100.

postScanActions GoogleCloudDataplexV1DataQualitySpecPostScanActionsResponse: Optional. Actions to take upon job completion.
rowFilter String: Optional. A filter applied to all rows in a single DataScan job. The filter needs to be a valid SQL expression for a WHERE clause in BigQuery standard SQL syntax. Example: col1 >= 0 AND col2 < 10
rules List<GoogleCloudDataplexV1DataQualityRuleResponse>: The list of rules to evaluate against a data source. At least one rule is required.
samplingPercent Double: Optional. The percentage of the records to be selected from the dataset for DataScan. Value can range between 0.0 and 100.0 with up to 3 significant decimal digits. Sampling is not applied if sampling_percent is not specified, 0 or 100.

postScanActions GoogleCloudDataplexV1DataQualitySpecPostScanActionsResponse: Optional. Actions to take upon job completion.
rowFilter string: Optional. A filter applied to all rows in a single DataScan job. The filter needs to be a valid SQL expression for a WHERE clause in BigQuery standard SQL syntax. Example: col1 >= 0 AND col2 < 10
rules GoogleCloudDataplexV1DataQualityRuleResponse[]: The list of rules to evaluate against a data source. At least one rule is required.
samplingPercent number: Optional. The percentage of the records to be selected from the dataset for DataScan. Value can range between 0.0 and 100.0 with up to 3 significant decimal digits. Sampling is not applied if sampling_percent is not specified, 0 or 100.

post_scan_actions GoogleCloudDataplexV1DataQualitySpecPostScanActionsResponse: Optional. Actions to take upon job completion.
row_filter str: Optional. A filter applied to all rows in a single DataScan job. The filter needs to be a valid SQL expression for a WHERE clause in BigQuery standard SQL syntax. Example: col1 >= 0 AND col2 < 10
rules Sequence[GoogleCloudDataplexV1DataQualityRuleResponse]: The list of rules to evaluate against a data source. At least one rule is required.
sampling_percent float: Optional. The percentage of the records to be selected from the dataset for DataScan. Value can range between 0.0 and 100.0 with up to 3 significant decimal digits. Sampling is not applied if sampling_percent is not specified, 0 or 100.

postScanActions Property Map: Optional. Actions to take upon job completion.
rowFilter String: Optional. A filter applied to all rows in a single DataScan job. The filter needs to be a valid SQL expression for a WHERE clause in BigQuery standard SQL syntax. Example: col1 >= 0 AND col2 < 10
rules List<Property Map>: The list of rules to evaluate against a data source. At least one rule is required.
samplingPercent Number: Optional. The percentage of the records to be selected from the dataset for DataScan. Value can range between 0.0 and 100.0 with up to 3 significant decimal digits. Sampling is not applied if sampling_percent is not specified, 0 or 100.

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}.
Resource string: Immutable. The service-qualified full resource name of the cloud resource for a DataScan job to scan against. The field could be: BigQuery table of type "TABLE" for DataProfileScan/DataQualityScan Format: //bigquery.googleapis.com/projects/PROJECT_ID/datasets/DATASET_ID/tables/TABLE_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}.
Resource string: Immutable. The service-qualified full resource name of the cloud resource for a DataScan job to scan against. The field could be: BigQuery table of type "TABLE" for DataProfileScan/DataQualityScan Format: //bigquery.googleapis.com/projects/PROJECT_ID/datasets/DATASET_ID/tables/TABLE_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}.
resource String: Immutable. The service-qualified full resource name of the cloud resource for a DataScan job to scan against. The field could be: BigQuery table of type "TABLE" for DataProfileScan/DataQualityScan Format: //bigquery.googleapis.com/projects/PROJECT_ID/datasets/DATASET_ID/tables/TABLE_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}.
resource string: Immutable. The service-qualified full resource name of the cloud resource for a DataScan job to scan against. The field could be: BigQuery table of type "TABLE" for DataProfileScan/DataQualityScan Format: //bigquery.googleapis.com/projects/PROJECT_ID/datasets/DATASET_ID/tables/TABLE_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}.
resource str: Immutable. The service-qualified full resource name of the cloud resource for a DataScan job to scan against. The field could be: BigQuery table of type "TABLE" for DataProfileScan/DataQualityScan Format: //bigquery.googleapis.com/projects/PROJECT_ID/datasets/DATASET_ID/tables/TABLE_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}.
resource String: Immutable. The service-qualified full resource name of the cloud resource for a DataScan job to scan against. The field could be: BigQuery table of type "TABLE" for DataProfileScan/DataQualityScan Format: //bigquery.googleapis.com/projects/PROJECT_ID/datasets/DATASET_ID/tables/TABLE_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

Google Cloud Native is in preview. Google Cloud Classic is fully supported.

Google Cloud Native v0.32.0 published on Wednesday, Nov 29, 2023 by Pulumi

pulumi/pulumi-google-native

google-native.dataplex/v1.getDataScan

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Using getDataScan

getDataScan Result

Supporting Types

GoogleCloudDataplexV1DataProfileResultPostScanActionsResultBigQueryExportResultResponse

GoogleCloudDataplexV1DataProfileResultPostScanActionsResultResponse

GoogleCloudDataplexV1DataProfileResultProfileFieldProfileInfoDoubleFieldInfoResponse

GoogleCloudDataplexV1DataProfileResultProfileFieldProfileInfoIntegerFieldInfoResponse

GoogleCloudDataplexV1DataProfileResultProfileFieldProfileInfoResponse

GoogleCloudDataplexV1DataProfileResultProfileFieldProfileInfoStringFieldInfoResponse

GoogleCloudDataplexV1DataProfileResultProfileFieldProfileInfoTopNValueResponse

GoogleCloudDataplexV1DataProfileResultProfileFieldResponse

GoogleCloudDataplexV1DataProfileResultProfileResponse

GoogleCloudDataplexV1DataProfileResultResponse

GoogleCloudDataplexV1DataProfileSpecPostScanActionsBigQueryExportResponse

GoogleCloudDataplexV1DataProfileSpecPostScanActionsResponse

GoogleCloudDataplexV1DataProfileSpecResponse

GoogleCloudDataplexV1DataProfileSpecSelectedFieldsResponse

GoogleCloudDataplexV1DataQualityColumnResultResponse

GoogleCloudDataplexV1DataQualityDimensionResponse

GoogleCloudDataplexV1DataQualityDimensionResultResponse

GoogleCloudDataplexV1DataQualityResultPostScanActionsResultBigQueryExportResultResponse

GoogleCloudDataplexV1DataQualityResultPostScanActionsResultResponse

GoogleCloudDataplexV1DataQualityResultResponse

GoogleCloudDataplexV1DataQualityRuleRangeExpectationResponse

GoogleCloudDataplexV1DataQualityRuleRegexExpectationResponse

GoogleCloudDataplexV1DataQualityRuleResponse

GoogleCloudDataplexV1DataQualityRuleResultResponse

GoogleCloudDataplexV1DataQualityRuleRowConditionExpectationResponse

GoogleCloudDataplexV1DataQualityRuleSetExpectationResponse

GoogleCloudDataplexV1DataQualityRuleStatisticRangeExpectationResponse

GoogleCloudDataplexV1DataQualityRuleTableConditionExpectationResponse

GoogleCloudDataplexV1DataQualitySpecPostScanActionsBigQueryExportResponse

GoogleCloudDataplexV1DataQualitySpecPostScanActionsResponse

GoogleCloudDataplexV1DataQualitySpecResponse

GoogleCloudDataplexV1DataScanExecutionSpecResponse

GoogleCloudDataplexV1DataScanExecutionStatusResponse

GoogleCloudDataplexV1DataSourceResponse

GoogleCloudDataplexV1ScannedDataIncrementalFieldResponse

GoogleCloudDataplexV1ScannedDataResponse

GoogleCloudDataplexV1TriggerResponse

GoogleCloudDataplexV1TriggerScheduleResponse

Package Details

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