Google Cloud Native v0.32.0, Nov 29 23

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

pulumi/pulumi-google-native

google-native.dlp/v2.getDlpJob

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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 getDlpJob

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

function getDlpJob(args: GetDlpJobArgs, opts?: InvokeOptions): Promise<GetDlpJobResult>
function getDlpJobOutput(args: GetDlpJobOutputArgs, opts?: InvokeOptions): Output<GetDlpJobResult>

def get_dlp_job(dlp_job_id: Optional[str] = None,
                location: Optional[str] = None,
                project: Optional[str] = None,
                opts: Optional[InvokeOptions] = None) -> GetDlpJobResult
def get_dlp_job_output(dlp_job_id: Optional[pulumi.Input[str]] = None,
                location: Optional[pulumi.Input[str]] = None,
                project: Optional[pulumi.Input[str]] = None,
                opts: Optional[InvokeOptions] = None) -> Output[GetDlpJobResult]

func LookupDlpJob(ctx *Context, args *LookupDlpJobArgs, opts ...InvokeOption) (*LookupDlpJobResult, error)
func LookupDlpJobOutput(ctx *Context, args *LookupDlpJobOutputArgs, opts ...InvokeOption) LookupDlpJobResultOutput

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

public static class GetDlpJob 
{
    public static Task<GetDlpJobResult> InvokeAsync(GetDlpJobArgs args, InvokeOptions? opts = null)
    public static Output<GetDlpJobResult> Invoke(GetDlpJobInvokeArgs args, InvokeOptions? opts = null)
}

public static CompletableFuture<GetDlpJobResult> getDlpJob(GetDlpJobArgs args, InvokeOptions options)
// Output-based functions aren't available in Java yet

fn::invoke:
  function: google-native:dlp/v2:getDlpJob
  arguments:
    # arguments dictionary

The following arguments are supported:

DlpJobId string
Location string
Project string

DlpJobId string
Location string
Project string

dlpJobId String
location String
project String

dlpJobId string
location string
project string

dlp_job_id str
location str
project str

dlpJobId String
location String
project String

getDlpJob Result

The following output properties are available:

ActionDetails List<Pulumi.GoogleNative.DLP.V2.Outputs.GooglePrivacyDlpV2ActionDetailsResponse>: Events that should occur after the job has completed.
CreateTime string: Time when the job was created.
EndTime string: Time when the job finished.
Errors List<Pulumi.GoogleNative.DLP.V2.Outputs.GooglePrivacyDlpV2ErrorResponse>: A stream of errors encountered running the job.
InspectDetails Pulumi.GoogleNative.DLP.V2.Outputs.GooglePrivacyDlpV2InspectDataSourceDetailsResponse: Results from inspecting a data source.
JobTriggerName string: If created by a job trigger, the resource name of the trigger that instantiated the job.
LastModified string: Time when the job was last modified by the system.
Name string: The server-assigned name.
RiskDetails Pulumi.GoogleNative.DLP.V2.Outputs.GooglePrivacyDlpV2AnalyzeDataSourceRiskDetailsResponse: Results from analyzing risk of a data source.
StartTime string: Time when the job started.
State string: State of a job.
Type string: The type of job.

ActionDetails []GooglePrivacyDlpV2ActionDetailsResponse: Events that should occur after the job has completed.
CreateTime string: Time when the job was created.
EndTime string: Time when the job finished.
Errors []GooglePrivacyDlpV2ErrorResponse: A stream of errors encountered running the job.
InspectDetails GooglePrivacyDlpV2InspectDataSourceDetailsResponse: Results from inspecting a data source.
JobTriggerName string: If created by a job trigger, the resource name of the trigger that instantiated the job.
LastModified string: Time when the job was last modified by the system.
Name string: The server-assigned name.
RiskDetails GooglePrivacyDlpV2AnalyzeDataSourceRiskDetailsResponse: Results from analyzing risk of a data source.
StartTime string: Time when the job started.
State string: State of a job.
Type string: The type of job.

actionDetails List<GooglePrivacyDlpV2ActionDetailsResponse>: Events that should occur after the job has completed.
createTime String: Time when the job was created.
endTime String: Time when the job finished.
errors List<GooglePrivacyDlpV2ErrorResponse>: A stream of errors encountered running the job.
inspectDetails GooglePrivacyDlpV2InspectDataSourceDetailsResponse: Results from inspecting a data source.
jobTriggerName String: If created by a job trigger, the resource name of the trigger that instantiated the job.
lastModified String: Time when the job was last modified by the system.
name String: The server-assigned name.
riskDetails GooglePrivacyDlpV2AnalyzeDataSourceRiskDetailsResponse: Results from analyzing risk of a data source.
startTime String: Time when the job started.
state String: State of a job.
type String: The type of job.

actionDetails GooglePrivacyDlpV2ActionDetailsResponse[]: Events that should occur after the job has completed.
createTime string: Time when the job was created.
endTime string: Time when the job finished.
errors GooglePrivacyDlpV2ErrorResponse[]: A stream of errors encountered running the job.
inspectDetails GooglePrivacyDlpV2InspectDataSourceDetailsResponse: Results from inspecting a data source.
jobTriggerName string: If created by a job trigger, the resource name of the trigger that instantiated the job.
lastModified string: Time when the job was last modified by the system.
name string: The server-assigned name.
riskDetails GooglePrivacyDlpV2AnalyzeDataSourceRiskDetailsResponse: Results from analyzing risk of a data source.
startTime string: Time when the job started.
state string: State of a job.
type string: The type of job.

action_details Sequence[GooglePrivacyDlpV2ActionDetailsResponse]: Events that should occur after the job has completed.
create_time str: Time when the job was created.
end_time str: Time when the job finished.
errors Sequence[GooglePrivacyDlpV2ErrorResponse]: A stream of errors encountered running the job.
inspect_details GooglePrivacyDlpV2InspectDataSourceDetailsResponse: Results from inspecting a data source.
job_trigger_name str: If created by a job trigger, the resource name of the trigger that instantiated the job.
last_modified str: Time when the job was last modified by the system.
name str: The server-assigned name.
risk_details GooglePrivacyDlpV2AnalyzeDataSourceRiskDetailsResponse: Results from analyzing risk of a data source.
start_time str: Time when the job started.
state str: State of a job.
type str: The type of job.

actionDetails List<Property Map>: Events that should occur after the job has completed.
createTime String: Time when the job was created.
endTime String: Time when the job finished.
errors List<Property Map>: A stream of errors encountered running the job.
inspectDetails Property Map: Results from inspecting a data source.
jobTriggerName String: If created by a job trigger, the resource name of the trigger that instantiated the job.
lastModified String: Time when the job was last modified by the system.
name String: The server-assigned name.
riskDetails Property Map: Results from analyzing risk of a data source.
startTime String: Time when the job started.
state String: State of a job.
type String: The type of job.

Supporting Types

GooglePrivacyDlpV2ActionDetailsResponse

DeidentifyDetails Pulumi.GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2DeidentifyDataSourceDetailsResponse: Outcome of a de-identification action.

DeidentifyDetails GooglePrivacyDlpV2DeidentifyDataSourceDetailsResponse: Outcome of a de-identification action.

deidentifyDetails GooglePrivacyDlpV2DeidentifyDataSourceDetailsResponse: Outcome of a de-identification action.

deidentifyDetails GooglePrivacyDlpV2DeidentifyDataSourceDetailsResponse: Outcome of a de-identification action.

deidentify_details GooglePrivacyDlpV2DeidentifyDataSourceDetailsResponse: Outcome of a de-identification action.

deidentifyDetails Property Map: Outcome of a de-identification action.

GooglePrivacyDlpV2ActionResponse

Deidentify Pulumi.GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2DeidentifyResponse: Create a de-identified copy of the input data.
JobNotificationEmails Pulumi.GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2JobNotificationEmailsResponse: Sends an email when the job completes. The email goes to IAM project owners and technical Essential Contacts.
PubSub Pulumi.GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2PublishToPubSubResponse: Publish a notification to a Pub/Sub topic.
PublishFindingsToCloudDataCatalog Pulumi.GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2PublishFindingsToCloudDataCatalogResponse: Publish findings to Cloud Datahub.
PublishSummaryToCscc Pulumi.GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2PublishSummaryToCsccResponse: Publish summary to Cloud Security Command Center (Alpha).
PublishToStackdriver Pulumi.GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2PublishToStackdriverResponse: Enable Stackdriver metric dlp.googleapis.com/finding_count.
SaveFindings Pulumi.GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2SaveFindingsResponse: Save resulting findings in a provided location.

Deidentify GooglePrivacyDlpV2DeidentifyResponse: Create a de-identified copy of the input data.
JobNotificationEmails GooglePrivacyDlpV2JobNotificationEmailsResponse: Sends an email when the job completes. The email goes to IAM project owners and technical Essential Contacts.
PubSub GooglePrivacyDlpV2PublishToPubSubResponse: Publish a notification to a Pub/Sub topic.
PublishFindingsToCloudDataCatalog GooglePrivacyDlpV2PublishFindingsToCloudDataCatalogResponse: Publish findings to Cloud Datahub.
PublishSummaryToCscc GooglePrivacyDlpV2PublishSummaryToCsccResponse: Publish summary to Cloud Security Command Center (Alpha).
PublishToStackdriver GooglePrivacyDlpV2PublishToStackdriverResponse: Enable Stackdriver metric dlp.googleapis.com/finding_count.
SaveFindings GooglePrivacyDlpV2SaveFindingsResponse: Save resulting findings in a provided location.

deidentify GooglePrivacyDlpV2DeidentifyResponse: Create a de-identified copy of the input data.
jobNotificationEmails GooglePrivacyDlpV2JobNotificationEmailsResponse: Sends an email when the job completes. The email goes to IAM project owners and technical Essential Contacts.
pubSub GooglePrivacyDlpV2PublishToPubSubResponse: Publish a notification to a Pub/Sub topic.
publishFindingsToCloudDataCatalog GooglePrivacyDlpV2PublishFindingsToCloudDataCatalogResponse: Publish findings to Cloud Datahub.
publishSummaryToCscc GooglePrivacyDlpV2PublishSummaryToCsccResponse: Publish summary to Cloud Security Command Center (Alpha).
publishToStackdriver GooglePrivacyDlpV2PublishToStackdriverResponse: Enable Stackdriver metric dlp.googleapis.com/finding_count.
saveFindings GooglePrivacyDlpV2SaveFindingsResponse: Save resulting findings in a provided location.

deidentify GooglePrivacyDlpV2DeidentifyResponse: Create a de-identified copy of the input data.
jobNotificationEmails GooglePrivacyDlpV2JobNotificationEmailsResponse: Sends an email when the job completes. The email goes to IAM project owners and technical Essential Contacts.
pubSub GooglePrivacyDlpV2PublishToPubSubResponse: Publish a notification to a Pub/Sub topic.
publishFindingsToCloudDataCatalog GooglePrivacyDlpV2PublishFindingsToCloudDataCatalogResponse: Publish findings to Cloud Datahub.
publishSummaryToCscc GooglePrivacyDlpV2PublishSummaryToCsccResponse: Publish summary to Cloud Security Command Center (Alpha).
publishToStackdriver GooglePrivacyDlpV2PublishToStackdriverResponse: Enable Stackdriver metric dlp.googleapis.com/finding_count.
saveFindings GooglePrivacyDlpV2SaveFindingsResponse: Save resulting findings in a provided location.

deidentify GooglePrivacyDlpV2DeidentifyResponse: Create a de-identified copy of the input data.
job_notification_emails GooglePrivacyDlpV2JobNotificationEmailsResponse: Sends an email when the job completes. The email goes to IAM project owners and technical Essential Contacts.
pub_sub GooglePrivacyDlpV2PublishToPubSubResponse: Publish a notification to a Pub/Sub topic.
publish_findings_to_cloud_data_catalog GooglePrivacyDlpV2PublishFindingsToCloudDataCatalogResponse: Publish findings to Cloud Datahub.
publish_summary_to_cscc GooglePrivacyDlpV2PublishSummaryToCsccResponse: Publish summary to Cloud Security Command Center (Alpha).
publish_to_stackdriver GooglePrivacyDlpV2PublishToStackdriverResponse: Enable Stackdriver metric dlp.googleapis.com/finding_count.
save_findings GooglePrivacyDlpV2SaveFindingsResponse: Save resulting findings in a provided location.

deidentify Property Map: Create a de-identified copy of the input data.
jobNotificationEmails Property Map: Sends an email when the job completes. The email goes to IAM project owners and technical Essential Contacts.
pubSub Property Map: Publish a notification to a Pub/Sub topic.
publishFindingsToCloudDataCatalog Property Map: Publish findings to Cloud Datahub.
publishSummaryToCscc Property Map: Publish summary to Cloud Security Command Center (Alpha).
publishToStackdriver Property Map: Enable Stackdriver metric dlp.googleapis.com/finding_count.
saveFindings Property Map: Save resulting findings in a provided location.

GooglePrivacyDlpV2AnalyzeDataSourceRiskDetailsResponse

CategoricalStatsResult Pulumi.GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2CategoricalStatsResultResponse: Categorical stats result
DeltaPresenceEstimationResult Pulumi.GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2DeltaPresenceEstimationResultResponse: Delta-presence result
KAnonymityResult Pulumi.GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2KAnonymityResultResponse: K-anonymity result
KMapEstimationResult Pulumi.GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2KMapEstimationResultResponse: K-map result
LDiversityResult Pulumi.GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2LDiversityResultResponse: L-divesity result
NumericalStatsResult Pulumi.GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2NumericalStatsResultResponse: Numerical stats result
RequestedOptions Pulumi.GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2RequestedRiskAnalysisOptionsResponse: The configuration used for this job.
RequestedPrivacyMetric Pulumi.GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2PrivacyMetricResponse: Privacy metric to compute.
RequestedSourceTable Pulumi.GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2BigQueryTableResponse: Input dataset to compute metrics over.

CategoricalStatsResult GooglePrivacyDlpV2CategoricalStatsResultResponse: Categorical stats result
DeltaPresenceEstimationResult GooglePrivacyDlpV2DeltaPresenceEstimationResultResponse: Delta-presence result
KAnonymityResult GooglePrivacyDlpV2KAnonymityResultResponse: K-anonymity result
KMapEstimationResult GooglePrivacyDlpV2KMapEstimationResultResponse: K-map result
LDiversityResult GooglePrivacyDlpV2LDiversityResultResponse: L-divesity result
NumericalStatsResult GooglePrivacyDlpV2NumericalStatsResultResponse: Numerical stats result
RequestedOptions GooglePrivacyDlpV2RequestedRiskAnalysisOptionsResponse: The configuration used for this job.
RequestedPrivacyMetric GooglePrivacyDlpV2PrivacyMetricResponse: Privacy metric to compute.
RequestedSourceTable GooglePrivacyDlpV2BigQueryTableResponse: Input dataset to compute metrics over.

categoricalStatsResult GooglePrivacyDlpV2CategoricalStatsResultResponse: Categorical stats result
deltaPresenceEstimationResult GooglePrivacyDlpV2DeltaPresenceEstimationResultResponse: Delta-presence result
kAnonymityResult GooglePrivacyDlpV2KAnonymityResultResponse: K-anonymity result
kMapEstimationResult GooglePrivacyDlpV2KMapEstimationResultResponse: K-map result
lDiversityResult GooglePrivacyDlpV2LDiversityResultResponse: L-divesity result
numericalStatsResult GooglePrivacyDlpV2NumericalStatsResultResponse: Numerical stats result
requestedOptions GooglePrivacyDlpV2RequestedRiskAnalysisOptionsResponse: The configuration used for this job.
requestedPrivacyMetric GooglePrivacyDlpV2PrivacyMetricResponse: Privacy metric to compute.
requestedSourceTable GooglePrivacyDlpV2BigQueryTableResponse: Input dataset to compute metrics over.

categoricalStatsResult GooglePrivacyDlpV2CategoricalStatsResultResponse: Categorical stats result
deltaPresenceEstimationResult GooglePrivacyDlpV2DeltaPresenceEstimationResultResponse: Delta-presence result
kAnonymityResult GooglePrivacyDlpV2KAnonymityResultResponse: K-anonymity result
kMapEstimationResult GooglePrivacyDlpV2KMapEstimationResultResponse: K-map result
lDiversityResult GooglePrivacyDlpV2LDiversityResultResponse: L-divesity result
numericalStatsResult GooglePrivacyDlpV2NumericalStatsResultResponse: Numerical stats result
requestedOptions GooglePrivacyDlpV2RequestedRiskAnalysisOptionsResponse: The configuration used for this job.
requestedPrivacyMetric GooglePrivacyDlpV2PrivacyMetricResponse: Privacy metric to compute.
requestedSourceTable GooglePrivacyDlpV2BigQueryTableResponse: Input dataset to compute metrics over.

categorical_stats_result GooglePrivacyDlpV2CategoricalStatsResultResponse: Categorical stats result
delta_presence_estimation_result GooglePrivacyDlpV2DeltaPresenceEstimationResultResponse: Delta-presence result
k_anonymity_result GooglePrivacyDlpV2KAnonymityResultResponse: K-anonymity result
k_map_estimation_result GooglePrivacyDlpV2KMapEstimationResultResponse: K-map result
l_diversity_result GooglePrivacyDlpV2LDiversityResultResponse: L-divesity result
numerical_stats_result GooglePrivacyDlpV2NumericalStatsResultResponse: Numerical stats result
requested_options GooglePrivacyDlpV2RequestedRiskAnalysisOptionsResponse: The configuration used for this job.
requested_privacy_metric GooglePrivacyDlpV2PrivacyMetricResponse: Privacy metric to compute.
requested_source_table GooglePrivacyDlpV2BigQueryTableResponse: Input dataset to compute metrics over.

categoricalStatsResult Property Map: Categorical stats result
deltaPresenceEstimationResult Property Map: Delta-presence result
kAnonymityResult Property Map: K-anonymity result
kMapEstimationResult Property Map: K-map result
lDiversityResult Property Map: L-divesity result
numericalStatsResult Property Map: Numerical stats result
requestedOptions Property Map: The configuration used for this job.
requestedPrivacyMetric Property Map: Privacy metric to compute.
requestedSourceTable Property Map: Input dataset to compute metrics over.

GooglePrivacyDlpV2AuxiliaryTableResponse

QuasiIds List<Pulumi.GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2QuasiIdFieldResponse>: Quasi-identifier columns.
RelativeFrequency Pulumi.GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2FieldIdResponse: The relative frequency column must contain a floating-point number between 0 and 1 (inclusive). Null values are assumed to be zero.
Table Pulumi.GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2BigQueryTableResponse: Auxiliary table location.

QuasiIds []GooglePrivacyDlpV2QuasiIdFieldResponse: Quasi-identifier columns.
RelativeFrequency GooglePrivacyDlpV2FieldIdResponse: The relative frequency column must contain a floating-point number between 0 and 1 (inclusive). Null values are assumed to be zero.
Table GooglePrivacyDlpV2BigQueryTableResponse: Auxiliary table location.

quasiIds List<GooglePrivacyDlpV2QuasiIdFieldResponse>: Quasi-identifier columns.
relativeFrequency GooglePrivacyDlpV2FieldIdResponse: The relative frequency column must contain a floating-point number between 0 and 1 (inclusive). Null values are assumed to be zero.
table GooglePrivacyDlpV2BigQueryTableResponse: Auxiliary table location.

quasiIds GooglePrivacyDlpV2QuasiIdFieldResponse[]: Quasi-identifier columns.
relativeFrequency GooglePrivacyDlpV2FieldIdResponse: The relative frequency column must contain a floating-point number between 0 and 1 (inclusive). Null values are assumed to be zero.
table GooglePrivacyDlpV2BigQueryTableResponse: Auxiliary table location.

quasi_ids Sequence[GooglePrivacyDlpV2QuasiIdFieldResponse]: Quasi-identifier columns.
relative_frequency GooglePrivacyDlpV2FieldIdResponse: The relative frequency column must contain a floating-point number between 0 and 1 (inclusive). Null values are assumed to be zero.
table GooglePrivacyDlpV2BigQueryTableResponse: Auxiliary table location.

quasiIds List<Property Map>: Quasi-identifier columns.
relativeFrequency Property Map: The relative frequency column must contain a floating-point number between 0 and 1 (inclusive). Null values are assumed to be zero.
table Property Map: Auxiliary table location.

GooglePrivacyDlpV2BigQueryOptionsResponse

ExcludedFields List<Pulumi.GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2FieldIdResponse>: References to fields excluded from scanning. This allows you to skip inspection of entire columns which you know have no findings. When inspecting a table, we recommend that you inspect all columns. Otherwise, findings might be affected because hints from excluded columns will not be used.
IdentifyingFields List<Pulumi.GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2FieldIdResponse>: Table fields that may uniquely identify a row within the table. When actions.saveFindings.outputConfig.table is specified, the values of columns specified here are available in the output table under location.content_locations.record_location.record_key.id_values. Nested fields such as person.birthdate.year are allowed.
IncludedFields List<Pulumi.GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2FieldIdResponse>: Limit scanning only to these fields. When inspecting a table, we recommend that you inspect all columns. Otherwise, findings might be affected because hints from excluded columns will not be used.
RowsLimit string: Max number of rows to scan. If the table has more rows than this value, the rest of the rows are omitted. If not set, or if set to 0, all rows will be scanned. Only one of rows_limit and rows_limit_percent can be specified. Cannot be used in conjunction with TimespanConfig.
RowsLimitPercent int: Max percentage of rows to scan. The rest are omitted. The number of rows scanned is rounded down. Must be between 0 and 100, inclusively. Both 0 and 100 means no limit. Defaults to 0. Only one of rows_limit and rows_limit_percent can be specified. Cannot be used in conjunction with TimespanConfig.
SampleMethod string
TableReference Pulumi.GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2BigQueryTableResponse: Complete BigQuery table reference.

ExcludedFields []GooglePrivacyDlpV2FieldIdResponse: References to fields excluded from scanning. This allows you to skip inspection of entire columns which you know have no findings. When inspecting a table, we recommend that you inspect all columns. Otherwise, findings might be affected because hints from excluded columns will not be used.
IdentifyingFields []GooglePrivacyDlpV2FieldIdResponse: Table fields that may uniquely identify a row within the table. When actions.saveFindings.outputConfig.table is specified, the values of columns specified here are available in the output table under location.content_locations.record_location.record_key.id_values. Nested fields such as person.birthdate.year are allowed.
IncludedFields []GooglePrivacyDlpV2FieldIdResponse: Limit scanning only to these fields. When inspecting a table, we recommend that you inspect all columns. Otherwise, findings might be affected because hints from excluded columns will not be used.
RowsLimit string: Max number of rows to scan. If the table has more rows than this value, the rest of the rows are omitted. If not set, or if set to 0, all rows will be scanned. Only one of rows_limit and rows_limit_percent can be specified. Cannot be used in conjunction with TimespanConfig.
RowsLimitPercent int: Max percentage of rows to scan. The rest are omitted. The number of rows scanned is rounded down. Must be between 0 and 100, inclusively. Both 0 and 100 means no limit. Defaults to 0. Only one of rows_limit and rows_limit_percent can be specified. Cannot be used in conjunction with TimespanConfig.
SampleMethod string
TableReference GooglePrivacyDlpV2BigQueryTableResponse: Complete BigQuery table reference.

excludedFields List<GooglePrivacyDlpV2FieldIdResponse>: References to fields excluded from scanning. This allows you to skip inspection of entire columns which you know have no findings. When inspecting a table, we recommend that you inspect all columns. Otherwise, findings might be affected because hints from excluded columns will not be used.
identifyingFields List<GooglePrivacyDlpV2FieldIdResponse>: Table fields that may uniquely identify a row within the table. When actions.saveFindings.outputConfig.table is specified, the values of columns specified here are available in the output table under location.content_locations.record_location.record_key.id_values. Nested fields such as person.birthdate.year are allowed.
includedFields List<GooglePrivacyDlpV2FieldIdResponse>: Limit scanning only to these fields. When inspecting a table, we recommend that you inspect all columns. Otherwise, findings might be affected because hints from excluded columns will not be used.
rowsLimit String: Max number of rows to scan. If the table has more rows than this value, the rest of the rows are omitted. If not set, or if set to 0, all rows will be scanned. Only one of rows_limit and rows_limit_percent can be specified. Cannot be used in conjunction with TimespanConfig.
rowsLimitPercent Integer: Max percentage of rows to scan. The rest are omitted. The number of rows scanned is rounded down. Must be between 0 and 100, inclusively. Both 0 and 100 means no limit. Defaults to 0. Only one of rows_limit and rows_limit_percent can be specified. Cannot be used in conjunction with TimespanConfig.
sampleMethod String
tableReference GooglePrivacyDlpV2BigQueryTableResponse: Complete BigQuery table reference.

excludedFields GooglePrivacyDlpV2FieldIdResponse[]: References to fields excluded from scanning. This allows you to skip inspection of entire columns which you know have no findings. When inspecting a table, we recommend that you inspect all columns. Otherwise, findings might be affected because hints from excluded columns will not be used.
identifyingFields GooglePrivacyDlpV2FieldIdResponse[]: Table fields that may uniquely identify a row within the table. When actions.saveFindings.outputConfig.table is specified, the values of columns specified here are available in the output table under location.content_locations.record_location.record_key.id_values. Nested fields such as person.birthdate.year are allowed.
includedFields GooglePrivacyDlpV2FieldIdResponse[]: Limit scanning only to these fields. When inspecting a table, we recommend that you inspect all columns. Otherwise, findings might be affected because hints from excluded columns will not be used.
rowsLimit string: Max number of rows to scan. If the table has more rows than this value, the rest of the rows are omitted. If not set, or if set to 0, all rows will be scanned. Only one of rows_limit and rows_limit_percent can be specified. Cannot be used in conjunction with TimespanConfig.
rowsLimitPercent number: Max percentage of rows to scan. The rest are omitted. The number of rows scanned is rounded down. Must be between 0 and 100, inclusively. Both 0 and 100 means no limit. Defaults to 0. Only one of rows_limit and rows_limit_percent can be specified. Cannot be used in conjunction with TimespanConfig.
sampleMethod string
tableReference GooglePrivacyDlpV2BigQueryTableResponse: Complete BigQuery table reference.

excluded_fields Sequence[GooglePrivacyDlpV2FieldIdResponse]: References to fields excluded from scanning. This allows you to skip inspection of entire columns which you know have no findings. When inspecting a table, we recommend that you inspect all columns. Otherwise, findings might be affected because hints from excluded columns will not be used.
identifying_fields Sequence[GooglePrivacyDlpV2FieldIdResponse]: Table fields that may uniquely identify a row within the table. When actions.saveFindings.outputConfig.table is specified, the values of columns specified here are available in the output table under location.content_locations.record_location.record_key.id_values. Nested fields such as person.birthdate.year are allowed.
included_fields Sequence[GooglePrivacyDlpV2FieldIdResponse]: Limit scanning only to these fields. When inspecting a table, we recommend that you inspect all columns. Otherwise, findings might be affected because hints from excluded columns will not be used.
rows_limit str: Max number of rows to scan. If the table has more rows than this value, the rest of the rows are omitted. If not set, or if set to 0, all rows will be scanned. Only one of rows_limit and rows_limit_percent can be specified. Cannot be used in conjunction with TimespanConfig.
rows_limit_percent int: Max percentage of rows to scan. The rest are omitted. The number of rows scanned is rounded down. Must be between 0 and 100, inclusively. Both 0 and 100 means no limit. Defaults to 0. Only one of rows_limit and rows_limit_percent can be specified. Cannot be used in conjunction with TimespanConfig.
sample_method str
table_reference GooglePrivacyDlpV2BigQueryTableResponse: Complete BigQuery table reference.

excludedFields List<Property Map>: References to fields excluded from scanning. This allows you to skip inspection of entire columns which you know have no findings. When inspecting a table, we recommend that you inspect all columns. Otherwise, findings might be affected because hints from excluded columns will not be used.
identifyingFields List<Property Map>: Table fields that may uniquely identify a row within the table. When actions.saveFindings.outputConfig.table is specified, the values of columns specified here are available in the output table under location.content_locations.record_location.record_key.id_values. Nested fields such as person.birthdate.year are allowed.
includedFields List<Property Map>: Limit scanning only to these fields. When inspecting a table, we recommend that you inspect all columns. Otherwise, findings might be affected because hints from excluded columns will not be used.
rowsLimit String: Max number of rows to scan. If the table has more rows than this value, the rest of the rows are omitted. If not set, or if set to 0, all rows will be scanned. Only one of rows_limit and rows_limit_percent can be specified. Cannot be used in conjunction with TimespanConfig.
rowsLimitPercent Number: Max percentage of rows to scan. The rest are omitted. The number of rows scanned is rounded down. Must be between 0 and 100, inclusively. Both 0 and 100 means no limit. Defaults to 0. Only one of rows_limit and rows_limit_percent can be specified. Cannot be used in conjunction with TimespanConfig.
sampleMethod String
tableReference Property Map: Complete BigQuery table reference.

GooglePrivacyDlpV2BigQueryTableResponse

DatasetId string: Dataset ID of the table.
Project string: The Google Cloud Platform project ID of the project containing the table. If omitted, project ID is inferred from the API call.
TableId string: Name of the table.

DatasetId string: Dataset ID of the table.
Project string: The Google Cloud Platform project ID of the project containing the table. If omitted, project ID is inferred from the API call.
TableId string: Name of the table.

datasetId String: Dataset ID of the table.
project String: The Google Cloud Platform project ID of the project containing the table. If omitted, project ID is inferred from the API call.
tableId String: Name of the table.

datasetId string: Dataset ID of the table.
project string: The Google Cloud Platform project ID of the project containing the table. If omitted, project ID is inferred from the API call.
tableId string: Name of the table.

dataset_id str: Dataset ID of the table.
project str: The Google Cloud Platform project ID of the project containing the table. If omitted, project ID is inferred from the API call.
table_id str: Name of the table.

datasetId String: Dataset ID of the table.
project String: The Google Cloud Platform project ID of the project containing the table. If omitted, project ID is inferred from the API call.
tableId String: Name of the table.

GooglePrivacyDlpV2BucketResponse

Max Pulumi.GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2ValueResponse: Upper bound of the range, exclusive; type must match min.
Min Pulumi.GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2ValueResponse: Lower bound of the range, inclusive. Type should be the same as max if used.
ReplacementValue Pulumi.GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2ValueResponse: Replacement value for this bucket.

Max GooglePrivacyDlpV2ValueResponse: Upper bound of the range, exclusive; type must match min.
Min GooglePrivacyDlpV2ValueResponse: Lower bound of the range, inclusive. Type should be the same as max if used.
ReplacementValue GooglePrivacyDlpV2ValueResponse: Replacement value for this bucket.

max GooglePrivacyDlpV2ValueResponse: Upper bound of the range, exclusive; type must match min.
min GooglePrivacyDlpV2ValueResponse: Lower bound of the range, inclusive. Type should be the same as max if used.
replacementValue GooglePrivacyDlpV2ValueResponse: Replacement value for this bucket.

max GooglePrivacyDlpV2ValueResponse: Upper bound of the range, exclusive; type must match min.
min GooglePrivacyDlpV2ValueResponse: Lower bound of the range, inclusive. Type should be the same as max if used.
replacementValue GooglePrivacyDlpV2ValueResponse: Replacement value for this bucket.

max GooglePrivacyDlpV2ValueResponse: Upper bound of the range, exclusive; type must match min.
min GooglePrivacyDlpV2ValueResponse: Lower bound of the range, inclusive. Type should be the same as max if used.
replacement_value GooglePrivacyDlpV2ValueResponse: Replacement value for this bucket.

max Property Map: Upper bound of the range, exclusive; type must match min.
min Property Map: Lower bound of the range, inclusive. Type should be the same as max if used.
replacementValue Property Map: Replacement value for this bucket.

GooglePrivacyDlpV2BucketingConfigResponse

Buckets List<Pulumi.GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2BucketResponse>: Set of buckets. Ranges must be non-overlapping.

Buckets []GooglePrivacyDlpV2BucketResponse: Set of buckets. Ranges must be non-overlapping.

buckets List<GooglePrivacyDlpV2BucketResponse>: Set of buckets. Ranges must be non-overlapping.

buckets GooglePrivacyDlpV2BucketResponse[]: Set of buckets. Ranges must be non-overlapping.

buckets Sequence[GooglePrivacyDlpV2BucketResponse]: Set of buckets. Ranges must be non-overlapping.

buckets List<Property Map>: Set of buckets. Ranges must be non-overlapping.

GooglePrivacyDlpV2CategoricalStatsConfigResponse

Field Pulumi.GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2FieldIdResponse: Field to compute categorical stats on. All column types are supported except for arrays and structs. However, it may be more informative to use NumericalStats when the field type is supported, depending on the data.

Field GooglePrivacyDlpV2FieldIdResponse: Field to compute categorical stats on. All column types are supported except for arrays and structs. However, it may be more informative to use NumericalStats when the field type is supported, depending on the data.

field GooglePrivacyDlpV2FieldIdResponse: Field to compute categorical stats on. All column types are supported except for arrays and structs. However, it may be more informative to use NumericalStats when the field type is supported, depending on the data.

field GooglePrivacyDlpV2FieldIdResponse: Field to compute categorical stats on. All column types are supported except for arrays and structs. However, it may be more informative to use NumericalStats when the field type is supported, depending on the data.

field GooglePrivacyDlpV2FieldIdResponse: Field to compute categorical stats on. All column types are supported except for arrays and structs. However, it may be more informative to use NumericalStats when the field type is supported, depending on the data.

field Property Map: Field to compute categorical stats on. All column types are supported except for arrays and structs. However, it may be more informative to use NumericalStats when the field type is supported, depending on the data.

GooglePrivacyDlpV2CategoricalStatsHistogramBucketResponse

BucketSize string: Total number of values in this bucket.
BucketValueCount string: Total number of distinct values in this bucket.
BucketValues List<Pulumi.GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2ValueFrequencyResponse>: Sample of value frequencies in this bucket. The total number of values returned per bucket is capped at 20.
ValueFrequencyLowerBound string: Lower bound on the value frequency of the values in this bucket.
ValueFrequencyUpperBound string: Upper bound on the value frequency of the values in this bucket.

BucketSize string: Total number of values in this bucket.
BucketValueCount string: Total number of distinct values in this bucket.
BucketValues []GooglePrivacyDlpV2ValueFrequencyResponse: Sample of value frequencies in this bucket. The total number of values returned per bucket is capped at 20.
ValueFrequencyLowerBound string: Lower bound on the value frequency of the values in this bucket.
ValueFrequencyUpperBound string: Upper bound on the value frequency of the values in this bucket.

bucketSize String: Total number of values in this bucket.
bucketValueCount String: Total number of distinct values in this bucket.
bucketValues List<GooglePrivacyDlpV2ValueFrequencyResponse>: Sample of value frequencies in this bucket. The total number of values returned per bucket is capped at 20.
valueFrequencyLowerBound String: Lower bound on the value frequency of the values in this bucket.
valueFrequencyUpperBound String: Upper bound on the value frequency of the values in this bucket.

bucketSize string: Total number of values in this bucket.
bucketValueCount string: Total number of distinct values in this bucket.
bucketValues GooglePrivacyDlpV2ValueFrequencyResponse[]: Sample of value frequencies in this bucket. The total number of values returned per bucket is capped at 20.
valueFrequencyLowerBound string: Lower bound on the value frequency of the values in this bucket.
valueFrequencyUpperBound string: Upper bound on the value frequency of the values in this bucket.

bucket_size str: Total number of values in this bucket.
bucket_value_count str: Total number of distinct values in this bucket.
bucket_values Sequence[GooglePrivacyDlpV2ValueFrequencyResponse]: Sample of value frequencies in this bucket. The total number of values returned per bucket is capped at 20.
value_frequency_lower_bound str: Lower bound on the value frequency of the values in this bucket.
value_frequency_upper_bound str: Upper bound on the value frequency of the values in this bucket.

bucketSize String: Total number of values in this bucket.
bucketValueCount String: Total number of distinct values in this bucket.
bucketValues List<Property Map>: Sample of value frequencies in this bucket. The total number of values returned per bucket is capped at 20.
valueFrequencyLowerBound String: Lower bound on the value frequency of the values in this bucket.
valueFrequencyUpperBound String: Upper bound on the value frequency of the values in this bucket.

GooglePrivacyDlpV2CategoricalStatsResultResponse

ValueFrequencyHistogramBuckets List<Pulumi.GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2CategoricalStatsHistogramBucketResponse>: Histogram of value frequencies in the column.

ValueFrequencyHistogramBuckets []GooglePrivacyDlpV2CategoricalStatsHistogramBucketResponse: Histogram of value frequencies in the column.

valueFrequencyHistogramBuckets List<GooglePrivacyDlpV2CategoricalStatsHistogramBucketResponse>: Histogram of value frequencies in the column.

valueFrequencyHistogramBuckets GooglePrivacyDlpV2CategoricalStatsHistogramBucketResponse[]: Histogram of value frequencies in the column.

value_frequency_histogram_buckets Sequence[GooglePrivacyDlpV2CategoricalStatsHistogramBucketResponse]: Histogram of value frequencies in the column.

valueFrequencyHistogramBuckets List<Property Map>: Histogram of value frequencies in the column.

GooglePrivacyDlpV2CharacterMaskConfigResponse

CharactersToIgnore List<Pulumi.GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2CharsToIgnoreResponse>: When masking a string, items in this list will be skipped when replacing characters. For example, if the input string is 555-555-5555 and you instruct Cloud DLP to skip - and mask 5 characters with *, Cloud DLP returns ***-**5-5555.
MaskingCharacter string: Character to use to mask the sensitive values—for example, * for an alphabetic string such as a name, or 0 for a numeric string such as ZIP code or credit card number. This string must have a length of 1. If not supplied, this value defaults to * for strings, and 0 for digits.
NumberToMask int: Number of characters to mask. If not set, all matching chars will be masked. Skipped characters do not count towards this tally. If number_to_mask is negative, this denotes inverse masking. Cloud DLP masks all but a number of characters. For example, suppose you have the following values: - masking_character is * - number_to_mask is -4 - reverse_order is false - CharsToIgnore includes - - Input string is 1234-5678-9012-3456 The resulting de-identified string is ****-****-****-3456. Cloud DLP masks all but the last four characters. If reverse_order is true, all but the first four characters are masked as 1234-****-****-****.
ReverseOrder bool: Mask characters in reverse order. For example, if masking_character is 0, number_to_mask is 14, and reverse_order is false, then the input string 1234-5678-9012-3456 is masked as 00000000000000-3456. If masking_character is *, number_to_mask is 3, and reverse_order is true, then the string 12345 is masked as 12***.

CharactersToIgnore []GooglePrivacyDlpV2CharsToIgnoreResponse: When masking a string, items in this list will be skipped when replacing characters. For example, if the input string is 555-555-5555 and you instruct Cloud DLP to skip - and mask 5 characters with *, Cloud DLP returns ***-**5-5555.
MaskingCharacter string: Character to use to mask the sensitive values—for example, * for an alphabetic string such as a name, or 0 for a numeric string such as ZIP code or credit card number. This string must have a length of 1. If not supplied, this value defaults to * for strings, and 0 for digits.
NumberToMask int: Number of characters to mask. If not set, all matching chars will be masked. Skipped characters do not count towards this tally. If number_to_mask is negative, this denotes inverse masking. Cloud DLP masks all but a number of characters. For example, suppose you have the following values: - masking_character is * - number_to_mask is -4 - reverse_order is false - CharsToIgnore includes - - Input string is 1234-5678-9012-3456 The resulting de-identified string is ****-****-****-3456. Cloud DLP masks all but the last four characters. If reverse_order is true, all but the first four characters are masked as 1234-****-****-****.
ReverseOrder bool: Mask characters in reverse order. For example, if masking_character is 0, number_to_mask is 14, and reverse_order is false, then the input string 1234-5678-9012-3456 is masked as 00000000000000-3456. If masking_character is *, number_to_mask is 3, and reverse_order is true, then the string 12345 is masked as 12***.

charactersToIgnore List<GooglePrivacyDlpV2CharsToIgnoreResponse>: When masking a string, items in this list will be skipped when replacing characters. For example, if the input string is 555-555-5555 and you instruct Cloud DLP to skip - and mask 5 characters with *, Cloud DLP returns ***-**5-5555.
maskingCharacter String: Character to use to mask the sensitive values—for example, * for an alphabetic string such as a name, or 0 for a numeric string such as ZIP code or credit card number. This string must have a length of 1. If not supplied, this value defaults to * for strings, and 0 for digits.
numberToMask Integer: Number of characters to mask. If not set, all matching chars will be masked. Skipped characters do not count towards this tally. If number_to_mask is negative, this denotes inverse masking. Cloud DLP masks all but a number of characters. For example, suppose you have the following values: - masking_character is * - number_to_mask is -4 - reverse_order is false - CharsToIgnore includes - - Input string is 1234-5678-9012-3456 The resulting de-identified string is ****-****-****-3456. Cloud DLP masks all but the last four characters. If reverse_order is true, all but the first four characters are masked as 1234-****-****-****.
reverseOrder Boolean: Mask characters in reverse order. For example, if masking_character is 0, number_to_mask is 14, and reverse_order is false, then the input string 1234-5678-9012-3456 is masked as 00000000000000-3456. If masking_character is *, number_to_mask is 3, and reverse_order is true, then the string 12345 is masked as 12***.

charactersToIgnore GooglePrivacyDlpV2CharsToIgnoreResponse[]: When masking a string, items in this list will be skipped when replacing characters. For example, if the input string is 555-555-5555 and you instruct Cloud DLP to skip - and mask 5 characters with *, Cloud DLP returns ***-**5-5555.
maskingCharacter string: Character to use to mask the sensitive values—for example, * for an alphabetic string such as a name, or 0 for a numeric string such as ZIP code or credit card number. This string must have a length of 1. If not supplied, this value defaults to * for strings, and 0 for digits.
numberToMask number: Number of characters to mask. If not set, all matching chars will be masked. Skipped characters do not count towards this tally. If number_to_mask is negative, this denotes inverse masking. Cloud DLP masks all but a number of characters. For example, suppose you have the following values: - masking_character is * - number_to_mask is -4 - reverse_order is false - CharsToIgnore includes - - Input string is 1234-5678-9012-3456 The resulting de-identified string is ****-****-****-3456. Cloud DLP masks all but the last four characters. If reverse_order is true, all but the first four characters are masked as 1234-****-****-****.
reverseOrder boolean: Mask characters in reverse order. For example, if masking_character is 0, number_to_mask is 14, and reverse_order is false, then the input string 1234-5678-9012-3456 is masked as 00000000000000-3456. If masking_character is *, number_to_mask is 3, and reverse_order is true, then the string 12345 is masked as 12***.

characters_to_ignore Sequence[GooglePrivacyDlpV2CharsToIgnoreResponse]: When masking a string, items in this list will be skipped when replacing characters. For example, if the input string is 555-555-5555 and you instruct Cloud DLP to skip - and mask 5 characters with *, Cloud DLP returns ***-**5-5555.
masking_character str: Character to use to mask the sensitive values—for example, * for an alphabetic string such as a name, or 0 for a numeric string such as ZIP code or credit card number. This string must have a length of 1. If not supplied, this value defaults to * for strings, and 0 for digits.
number_to_mask int: Number of characters to mask. If not set, all matching chars will be masked. Skipped characters do not count towards this tally. If number_to_mask is negative, this denotes inverse masking. Cloud DLP masks all but a number of characters. For example, suppose you have the following values: - masking_character is * - number_to_mask is -4 - reverse_order is false - CharsToIgnore includes - - Input string is 1234-5678-9012-3456 The resulting de-identified string is ****-****-****-3456. Cloud DLP masks all but the last four characters. If reverse_order is true, all but the first four characters are masked as 1234-****-****-****.
reverse_order bool: Mask characters in reverse order. For example, if masking_character is 0, number_to_mask is 14, and reverse_order is false, then the input string 1234-5678-9012-3456 is masked as 00000000000000-3456. If masking_character is *, number_to_mask is 3, and reverse_order is true, then the string 12345 is masked as 12***.

charactersToIgnore List<Property Map>: When masking a string, items in this list will be skipped when replacing characters. For example, if the input string is 555-555-5555 and you instruct Cloud DLP to skip - and mask 5 characters with *, Cloud DLP returns ***-**5-5555.
maskingCharacter String: Character to use to mask the sensitive values—for example, * for an alphabetic string such as a name, or 0 for a numeric string such as ZIP code or credit card number. This string must have a length of 1. If not supplied, this value defaults to * for strings, and 0 for digits.
numberToMask Number: Number of characters to mask. If not set, all matching chars will be masked. Skipped characters do not count towards this tally. If number_to_mask is negative, this denotes inverse masking. Cloud DLP masks all but a number of characters. For example, suppose you have the following values: - masking_character is * - number_to_mask is -4 - reverse_order is false - CharsToIgnore includes - - Input string is 1234-5678-9012-3456 The resulting de-identified string is ****-****-****-3456. Cloud DLP masks all but the last four characters. If reverse_order is true, all but the first four characters are masked as 1234-****-****-****.
reverseOrder Boolean: Mask characters in reverse order. For example, if masking_character is 0, number_to_mask is 14, and reverse_order is false, then the input string 1234-5678-9012-3456 is masked as 00000000000000-3456. If masking_character is *, number_to_mask is 3, and reverse_order is true, then the string 12345 is masked as 12***.

GooglePrivacyDlpV2CharsToIgnoreResponse

CharactersToSkip string: Characters to not transform when masking.
CommonCharactersToIgnore string: Common characters to not transform when masking. Useful to avoid removing punctuation.

CharactersToSkip string: Characters to not transform when masking.
CommonCharactersToIgnore string: Common characters to not transform when masking. Useful to avoid removing punctuation.

charactersToSkip String: Characters to not transform when masking.
commonCharactersToIgnore String: Common characters to not transform when masking. Useful to avoid removing punctuation.

charactersToSkip string: Characters to not transform when masking.
commonCharactersToIgnore string: Common characters to not transform when masking. Useful to avoid removing punctuation.

characters_to_skip str: Characters to not transform when masking.
common_characters_to_ignore str: Common characters to not transform when masking. Useful to avoid removing punctuation.

charactersToSkip String: Characters to not transform when masking.
commonCharactersToIgnore String: Common characters to not transform when masking. Useful to avoid removing punctuation.

GooglePrivacyDlpV2CloudStorageOptionsResponse

BytesLimitPerFile string: Max number of bytes to scan from a file. If a scanned file's size is bigger than this value then the rest of the bytes are omitted. Only one of bytes_limit_per_file and bytes_limit_per_file_percent can be specified. This field can't be set if de-identification is requested. For certain file types, setting this field has no effect. For more information, see Limits on bytes scanned per file.
BytesLimitPerFilePercent int: Max percentage of bytes to scan from a file. The rest are omitted. The number of bytes scanned is rounded down. Must be between 0 and 100, inclusively. Both 0 and 100 means no limit. Defaults to 0. Only one of bytes_limit_per_file and bytes_limit_per_file_percent can be specified. This field can't be set if de-identification is requested. For certain file types, setting this field has no effect. For more information, see Limits on bytes scanned per file.
FileSet Pulumi.GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2FileSetResponse: The set of one or more files to scan.
FileTypes List<string>: List of file type groups to include in the scan. If empty, all files are scanned and available data format processors are applied. In addition, the binary content of the selected files is always scanned as well. Images are scanned only as binary if the specified region does not support image inspection and no file_types were specified. Image inspection is restricted to 'global', 'us', 'asia', and 'europe'.
FilesLimitPercent int: Limits the number of files to scan to this percentage of the input FileSet. Number of files scanned is rounded down. Must be between 0 and 100, inclusively. Both 0 and 100 means no limit. Defaults to 0.
SampleMethod string

BytesLimitPerFile string: Max number of bytes to scan from a file. If a scanned file's size is bigger than this value then the rest of the bytes are omitted. Only one of bytes_limit_per_file and bytes_limit_per_file_percent can be specified. This field can't be set if de-identification is requested. For certain file types, setting this field has no effect. For more information, see Limits on bytes scanned per file.
BytesLimitPerFilePercent int: Max percentage of bytes to scan from a file. The rest are omitted. The number of bytes scanned is rounded down. Must be between 0 and 100, inclusively. Both 0 and 100 means no limit. Defaults to 0. Only one of bytes_limit_per_file and bytes_limit_per_file_percent can be specified. This field can't be set if de-identification is requested. For certain file types, setting this field has no effect. For more information, see Limits on bytes scanned per file.
FileSet GooglePrivacyDlpV2FileSetResponse: The set of one or more files to scan.
FileTypes []string: List of file type groups to include in the scan. If empty, all files are scanned and available data format processors are applied. In addition, the binary content of the selected files is always scanned as well. Images are scanned only as binary if the specified region does not support image inspection and no file_types were specified. Image inspection is restricted to 'global', 'us', 'asia', and 'europe'.
FilesLimitPercent int: Limits the number of files to scan to this percentage of the input FileSet. Number of files scanned is rounded down. Must be between 0 and 100, inclusively. Both 0 and 100 means no limit. Defaults to 0.
SampleMethod string

bytesLimitPerFile String: Max number of bytes to scan from a file. If a scanned file's size is bigger than this value then the rest of the bytes are omitted. Only one of bytes_limit_per_file and bytes_limit_per_file_percent can be specified. This field can't be set if de-identification is requested. For certain file types, setting this field has no effect. For more information, see Limits on bytes scanned per file.
bytesLimitPerFilePercent Integer: Max percentage of bytes to scan from a file. The rest are omitted. The number of bytes scanned is rounded down. Must be between 0 and 100, inclusively. Both 0 and 100 means no limit. Defaults to 0. Only one of bytes_limit_per_file and bytes_limit_per_file_percent can be specified. This field can't be set if de-identification is requested. For certain file types, setting this field has no effect. For more information, see Limits on bytes scanned per file.
fileSet GooglePrivacyDlpV2FileSetResponse: The set of one or more files to scan.
fileTypes List<String>: List of file type groups to include in the scan. If empty, all files are scanned and available data format processors are applied. In addition, the binary content of the selected files is always scanned as well. Images are scanned only as binary if the specified region does not support image inspection and no file_types were specified. Image inspection is restricted to 'global', 'us', 'asia', and 'europe'.
filesLimitPercent Integer: Limits the number of files to scan to this percentage of the input FileSet. Number of files scanned is rounded down. Must be between 0 and 100, inclusively. Both 0 and 100 means no limit. Defaults to 0.
sampleMethod String

bytesLimitPerFile string: Max number of bytes to scan from a file. If a scanned file's size is bigger than this value then the rest of the bytes are omitted. Only one of bytes_limit_per_file and bytes_limit_per_file_percent can be specified. This field can't be set if de-identification is requested. For certain file types, setting this field has no effect. For more information, see Limits on bytes scanned per file.
bytesLimitPerFilePercent number: Max percentage of bytes to scan from a file. The rest are omitted. The number of bytes scanned is rounded down. Must be between 0 and 100, inclusively. Both 0 and 100 means no limit. Defaults to 0. Only one of bytes_limit_per_file and bytes_limit_per_file_percent can be specified. This field can't be set if de-identification is requested. For certain file types, setting this field has no effect. For more information, see Limits on bytes scanned per file.
fileSet GooglePrivacyDlpV2FileSetResponse: The set of one or more files to scan.
fileTypes string[]: List of file type groups to include in the scan. If empty, all files are scanned and available data format processors are applied. In addition, the binary content of the selected files is always scanned as well. Images are scanned only as binary if the specified region does not support image inspection and no file_types were specified. Image inspection is restricted to 'global', 'us', 'asia', and 'europe'.
filesLimitPercent number: Limits the number of files to scan to this percentage of the input FileSet. Number of files scanned is rounded down. Must be between 0 and 100, inclusively. Both 0 and 100 means no limit. Defaults to 0.
sampleMethod string

bytes_limit_per_file str: Max number of bytes to scan from a file. If a scanned file's size is bigger than this value then the rest of the bytes are omitted. Only one of bytes_limit_per_file and bytes_limit_per_file_percent can be specified. This field can't be set if de-identification is requested. For certain file types, setting this field has no effect. For more information, see Limits on bytes scanned per file.
bytes_limit_per_file_percent int: Max percentage of bytes to scan from a file. The rest are omitted. The number of bytes scanned is rounded down. Must be between 0 and 100, inclusively. Both 0 and 100 means no limit. Defaults to 0. Only one of bytes_limit_per_file and bytes_limit_per_file_percent can be specified. This field can't be set if de-identification is requested. For certain file types, setting this field has no effect. For more information, see Limits on bytes scanned per file.
file_set GooglePrivacyDlpV2FileSetResponse: The set of one or more files to scan.
file_types Sequence[str]: List of file type groups to include in the scan. If empty, all files are scanned and available data format processors are applied. In addition, the binary content of the selected files is always scanned as well. Images are scanned only as binary if the specified region does not support image inspection and no file_types were specified. Image inspection is restricted to 'global', 'us', 'asia', and 'europe'.
files_limit_percent int: Limits the number of files to scan to this percentage of the input FileSet. Number of files scanned is rounded down. Must be between 0 and 100, inclusively. Both 0 and 100 means no limit. Defaults to 0.
sample_method str

bytesLimitPerFile String: Max number of bytes to scan from a file. If a scanned file's size is bigger than this value then the rest of the bytes are omitted. Only one of bytes_limit_per_file and bytes_limit_per_file_percent can be specified. This field can't be set if de-identification is requested. For certain file types, setting this field has no effect. For more information, see Limits on bytes scanned per file.
bytesLimitPerFilePercent Number: Max percentage of bytes to scan from a file. The rest are omitted. The number of bytes scanned is rounded down. Must be between 0 and 100, inclusively. Both 0 and 100 means no limit. Defaults to 0. Only one of bytes_limit_per_file and bytes_limit_per_file_percent can be specified. This field can't be set if de-identification is requested. For certain file types, setting this field has no effect. For more information, see Limits on bytes scanned per file.
fileSet Property Map: The set of one or more files to scan.
fileTypes List<String>: List of file type groups to include in the scan. If empty, all files are scanned and available data format processors are applied. In addition, the binary content of the selected files is always scanned as well. Images are scanned only as binary if the specified region does not support image inspection and no file_types were specified. Image inspection is restricted to 'global', 'us', 'asia', and 'europe'.
filesLimitPercent Number: Limits the number of files to scan to this percentage of the input FileSet. Number of files scanned is rounded down. Must be between 0 and 100, inclusively. Both 0 and 100 means no limit. Defaults to 0.
sampleMethod String

GooglePrivacyDlpV2CloudStoragePathResponse

Path string: A url representing a file or path (no wildcards) in Cloud Storage. Example: gs://[BUCKET_NAME]/dictionary.txt

Path string: A url representing a file or path (no wildcards) in Cloud Storage. Example: gs://[BUCKET_NAME]/dictionary.txt

path String: A url representing a file or path (no wildcards) in Cloud Storage. Example: gs://[BUCKET_NAME]/dictionary.txt

path string: A url representing a file or path (no wildcards) in Cloud Storage. Example: gs://[BUCKET_NAME]/dictionary.txt

path str: A url representing a file or path (no wildcards) in Cloud Storage. Example: gs://[BUCKET_NAME]/dictionary.txt

path String: A url representing a file or path (no wildcards) in Cloud Storage. Example: gs://[BUCKET_NAME]/dictionary.txt

GooglePrivacyDlpV2CloudStorageRegexFileSetResponse

BucketName string: The name of a Cloud Storage bucket. Required.
ExcludeRegex List<string>: A list of regular expressions matching file paths to exclude. All files in the bucket that match at least one of these regular expressions will be excluded from the scan. Regular expressions use RE2 syntax; a guide can be found under the google/re2 repository on GitHub.
IncludeRegex List<string>: A list of regular expressions matching file paths to include. All files in the bucket that match at least one of these regular expressions will be included in the set of files, except for those that also match an item in exclude_regex. Leaving this field empty will match all files by default (this is equivalent to including .* in the list). Regular expressions use RE2 syntax; a guide can be found under the google/re2 repository on GitHub.

BucketName string: The name of a Cloud Storage bucket. Required.
ExcludeRegex []string: A list of regular expressions matching file paths to exclude. All files in the bucket that match at least one of these regular expressions will be excluded from the scan. Regular expressions use RE2 syntax; a guide can be found under the google/re2 repository on GitHub.
IncludeRegex []string: A list of regular expressions matching file paths to include. All files in the bucket that match at least one of these regular expressions will be included in the set of files, except for those that also match an item in exclude_regex. Leaving this field empty will match all files by default (this is equivalent to including .* in the list). Regular expressions use RE2 syntax; a guide can be found under the google/re2 repository on GitHub.

bucketName String: The name of a Cloud Storage bucket. Required.
excludeRegex List<String>: A list of regular expressions matching file paths to exclude. All files in the bucket that match at least one of these regular expressions will be excluded from the scan. Regular expressions use RE2 syntax; a guide can be found under the google/re2 repository on GitHub.
includeRegex List<String>: A list of regular expressions matching file paths to include. All files in the bucket that match at least one of these regular expressions will be included in the set of files, except for those that also match an item in exclude_regex. Leaving this field empty will match all files by default (this is equivalent to including .* in the list). Regular expressions use RE2 syntax; a guide can be found under the google/re2 repository on GitHub.

bucketName string: The name of a Cloud Storage bucket. Required.
excludeRegex string[]: A list of regular expressions matching file paths to exclude. All files in the bucket that match at least one of these regular expressions will be excluded from the scan. Regular expressions use RE2 syntax; a guide can be found under the google/re2 repository on GitHub.
includeRegex string[]: A list of regular expressions matching file paths to include. All files in the bucket that match at least one of these regular expressions will be included in the set of files, except for those that also match an item in exclude_regex. Leaving this field empty will match all files by default (this is equivalent to including .* in the list). Regular expressions use RE2 syntax; a guide can be found under the google/re2 repository on GitHub.

bucket_name str: The name of a Cloud Storage bucket. Required.
exclude_regex Sequence[str]: A list of regular expressions matching file paths to exclude. All files in the bucket that match at least one of these regular expressions will be excluded from the scan. Regular expressions use RE2 syntax; a guide can be found under the google/re2 repository on GitHub.
include_regex Sequence[str]: A list of regular expressions matching file paths to include. All files in the bucket that match at least one of these regular expressions will be included in the set of files, except for those that also match an item in exclude_regex. Leaving this field empty will match all files by default (this is equivalent to including .* in the list). Regular expressions use RE2 syntax; a guide can be found under the google/re2 repository on GitHub.

bucketName String: The name of a Cloud Storage bucket. Required.
excludeRegex List<String>: A list of regular expressions matching file paths to exclude. All files in the bucket that match at least one of these regular expressions will be excluded from the scan. Regular expressions use RE2 syntax; a guide can be found under the google/re2 repository on GitHub.
includeRegex List<String>: A list of regular expressions matching file paths to include. All files in the bucket that match at least one of these regular expressions will be included in the set of files, except for those that also match an item in exclude_regex. Leaving this field empty will match all files by default (this is equivalent to including .* in the list). Regular expressions use RE2 syntax; a guide can be found under the google/re2 repository on GitHub.

GooglePrivacyDlpV2ColorResponse

Blue double: The amount of blue in the color as a value in the interval [0, 1].
Green double: The amount of green in the color as a value in the interval [0, 1].
Red double: The amount of red in the color as a value in the interval [0, 1].

Blue float64: The amount of blue in the color as a value in the interval [0, 1].
Green float64: The amount of green in the color as a value in the interval [0, 1].
Red float64: The amount of red in the color as a value in the interval [0, 1].

blue Double: The amount of blue in the color as a value in the interval [0, 1].
green Double: The amount of green in the color as a value in the interval [0, 1].
red Double: The amount of red in the color as a value in the interval [0, 1].

blue number: The amount of blue in the color as a value in the interval [0, 1].
green number: The amount of green in the color as a value in the interval [0, 1].
red number: The amount of red in the color as a value in the interval [0, 1].

blue float: The amount of blue in the color as a value in the interval [0, 1].
green float: The amount of green in the color as a value in the interval [0, 1].
red float: The amount of red in the color as a value in the interval [0, 1].

blue Number: The amount of blue in the color as a value in the interval [0, 1].
green Number: The amount of green in the color as a value in the interval [0, 1].
red Number: The amount of red in the color as a value in the interval [0, 1].

GooglePrivacyDlpV2ConditionResponse

Field Pulumi.GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2FieldIdResponse: Field within the record this condition is evaluated against.
Operator string: Operator used to compare the field or infoType to the value.
Value Pulumi.GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2ValueResponse: Value to compare against. [Mandatory, except for EXISTS tests.]

Field GooglePrivacyDlpV2FieldIdResponse: Field within the record this condition is evaluated against.
Operator string: Operator used to compare the field or infoType to the value.
Value GooglePrivacyDlpV2ValueResponse: Value to compare against. [Mandatory, except for EXISTS tests.]

field GooglePrivacyDlpV2FieldIdResponse: Field within the record this condition is evaluated against.
operator String: Operator used to compare the field or infoType to the value.
value GooglePrivacyDlpV2ValueResponse: Value to compare against. [Mandatory, except for EXISTS tests.]

field GooglePrivacyDlpV2FieldIdResponse: Field within the record this condition is evaluated against.
operator string: Operator used to compare the field or infoType to the value.
value GooglePrivacyDlpV2ValueResponse: Value to compare against. [Mandatory, except for EXISTS tests.]

field GooglePrivacyDlpV2FieldIdResponse: Field within the record this condition is evaluated against.
operator str: Operator used to compare the field or infoType to the value.
value GooglePrivacyDlpV2ValueResponse: Value to compare against. [Mandatory, except for EXISTS tests.]

field Property Map: Field within the record this condition is evaluated against.
operator String: Operator used to compare the field or infoType to the value.
value Property Map: Value to compare against. [Mandatory, except for EXISTS tests.]

GooglePrivacyDlpV2ConditionsResponse

Conditions List<Pulumi.GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2ConditionResponse>: A collection of conditions.

Conditions []GooglePrivacyDlpV2ConditionResponse: A collection of conditions.

conditions List<GooglePrivacyDlpV2ConditionResponse>: A collection of conditions.

conditions GooglePrivacyDlpV2ConditionResponse[]: A collection of conditions.

conditions Sequence[GooglePrivacyDlpV2ConditionResponse]: A collection of conditions.

conditions List<Property Map>: A collection of conditions.

GooglePrivacyDlpV2CryptoDeterministicConfigResponse

Context Pulumi.GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2FieldIdResponse: A context may be used for higher security and maintaining referential integrity such that the same identifier in two different contexts will be given a distinct surrogate. The context is appended to plaintext value being encrypted. On decryption the provided context is validated against the value used during encryption. If a context was provided during encryption, same context must be provided during decryption as well. If the context is not set, plaintext would be used as is for encryption. If the context is set but: 1. there is no record present when transforming a given value or 2. the field is not present when transforming a given value, plaintext would be used as is for encryption. Note that case (1) is expected when an InfoTypeTransformation is applied to both structured and unstructured ContentItems.
CryptoKey Pulumi.GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2CryptoKeyResponse: The key used by the encryption function. For deterministic encryption using AES-SIV, the provided key is internally expanded to 64 bytes prior to use.
SurrogateInfoType Pulumi.GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2InfoTypeResponse: The custom info type to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom info type followed by the number of characters comprising the surrogate. The following scheme defines the format: {info type name}({surrogate character count}):{surrogate} For example, if the name of custom info type is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom info type 'Surrogate'. This facilitates reversal of the surrogate when it occurs in free text. Note: For record transformations where the entire cell in a table is being transformed, surrogates are not mandatory. Surrogates are used to denote the location of the token and are necessary for re-identification in free form text. In order for inspection to work properly, the name of this info type must not occur naturally anywhere in your data; otherwise, inspection may either - reverse a surrogate that does not correspond to an actual identifier - be unable to parse the surrogate and result in an error Therefore, choose your custom info type name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE.

Context GooglePrivacyDlpV2FieldIdResponse: A context may be used for higher security and maintaining referential integrity such that the same identifier in two different contexts will be given a distinct surrogate. The context is appended to plaintext value being encrypted. On decryption the provided context is validated against the value used during encryption. If a context was provided during encryption, same context must be provided during decryption as well. If the context is not set, plaintext would be used as is for encryption. If the context is set but: 1. there is no record present when transforming a given value or 2. the field is not present when transforming a given value, plaintext would be used as is for encryption. Note that case (1) is expected when an InfoTypeTransformation is applied to both structured and unstructured ContentItems.
CryptoKey GooglePrivacyDlpV2CryptoKeyResponse: The key used by the encryption function. For deterministic encryption using AES-SIV, the provided key is internally expanded to 64 bytes prior to use.
SurrogateInfoType GooglePrivacyDlpV2InfoTypeResponse: The custom info type to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom info type followed by the number of characters comprising the surrogate. The following scheme defines the format: {info type name}({surrogate character count}):{surrogate} For example, if the name of custom info type is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom info type 'Surrogate'. This facilitates reversal of the surrogate when it occurs in free text. Note: For record transformations where the entire cell in a table is being transformed, surrogates are not mandatory. Surrogates are used to denote the location of the token and are necessary for re-identification in free form text. In order for inspection to work properly, the name of this info type must not occur naturally anywhere in your data; otherwise, inspection may either - reverse a surrogate that does not correspond to an actual identifier - be unable to parse the surrogate and result in an error Therefore, choose your custom info type name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE.

context GooglePrivacyDlpV2FieldIdResponse: A context may be used for higher security and maintaining referential integrity such that the same identifier in two different contexts will be given a distinct surrogate. The context is appended to plaintext value being encrypted. On decryption the provided context is validated against the value used during encryption. If a context was provided during encryption, same context must be provided during decryption as well. If the context is not set, plaintext would be used as is for encryption. If the context is set but: 1. there is no record present when transforming a given value or 2. the field is not present when transforming a given value, plaintext would be used as is for encryption. Note that case (1) is expected when an InfoTypeTransformation is applied to both structured and unstructured ContentItems.
cryptoKey GooglePrivacyDlpV2CryptoKeyResponse: The key used by the encryption function. For deterministic encryption using AES-SIV, the provided key is internally expanded to 64 bytes prior to use.
surrogateInfoType GooglePrivacyDlpV2InfoTypeResponse: The custom info type to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom info type followed by the number of characters comprising the surrogate. The following scheme defines the format: {info type name}({surrogate character count}):{surrogate} For example, if the name of custom info type is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom info type 'Surrogate'. This facilitates reversal of the surrogate when it occurs in free text. Note: For record transformations where the entire cell in a table is being transformed, surrogates are not mandatory. Surrogates are used to denote the location of the token and are necessary for re-identification in free form text. In order for inspection to work properly, the name of this info type must not occur naturally anywhere in your data; otherwise, inspection may either - reverse a surrogate that does not correspond to an actual identifier - be unable to parse the surrogate and result in an error Therefore, choose your custom info type name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE.

context GooglePrivacyDlpV2FieldIdResponse: A context may be used for higher security and maintaining referential integrity such that the same identifier in two different contexts will be given a distinct surrogate. The context is appended to plaintext value being encrypted. On decryption the provided context is validated against the value used during encryption. If a context was provided during encryption, same context must be provided during decryption as well. If the context is not set, plaintext would be used as is for encryption. If the context is set but: 1. there is no record present when transforming a given value or 2. the field is not present when transforming a given value, plaintext would be used as is for encryption. Note that case (1) is expected when an InfoTypeTransformation is applied to both structured and unstructured ContentItems.
cryptoKey GooglePrivacyDlpV2CryptoKeyResponse: The key used by the encryption function. For deterministic encryption using AES-SIV, the provided key is internally expanded to 64 bytes prior to use.
surrogateInfoType GooglePrivacyDlpV2InfoTypeResponse: The custom info type to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom info type followed by the number of characters comprising the surrogate. The following scheme defines the format: {info type name}({surrogate character count}):{surrogate} For example, if the name of custom info type is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom info type 'Surrogate'. This facilitates reversal of the surrogate when it occurs in free text. Note: For record transformations where the entire cell in a table is being transformed, surrogates are not mandatory. Surrogates are used to denote the location of the token and are necessary for re-identification in free form text. In order for inspection to work properly, the name of this info type must not occur naturally anywhere in your data; otherwise, inspection may either - reverse a surrogate that does not correspond to an actual identifier - be unable to parse the surrogate and result in an error Therefore, choose your custom info type name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE.

context GooglePrivacyDlpV2FieldIdResponse: A context may be used for higher security and maintaining referential integrity such that the same identifier in two different contexts will be given a distinct surrogate. The context is appended to plaintext value being encrypted. On decryption the provided context is validated against the value used during encryption. If a context was provided during encryption, same context must be provided during decryption as well. If the context is not set, plaintext would be used as is for encryption. If the context is set but: 1. there is no record present when transforming a given value or 2. the field is not present when transforming a given value, plaintext would be used as is for encryption. Note that case (1) is expected when an InfoTypeTransformation is applied to both structured and unstructured ContentItems.
crypto_key GooglePrivacyDlpV2CryptoKeyResponse: The key used by the encryption function. For deterministic encryption using AES-SIV, the provided key is internally expanded to 64 bytes prior to use.
surrogate_info_type GooglePrivacyDlpV2InfoTypeResponse: The custom info type to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom info type followed by the number of characters comprising the surrogate. The following scheme defines the format: {info type name}({surrogate character count}):{surrogate} For example, if the name of custom info type is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom info type 'Surrogate'. This facilitates reversal of the surrogate when it occurs in free text. Note: For record transformations where the entire cell in a table is being transformed, surrogates are not mandatory. Surrogates are used to denote the location of the token and are necessary for re-identification in free form text. In order for inspection to work properly, the name of this info type must not occur naturally anywhere in your data; otherwise, inspection may either - reverse a surrogate that does not correspond to an actual identifier - be unable to parse the surrogate and result in an error Therefore, choose your custom info type name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE.

context Property Map: A context may be used for higher security and maintaining referential integrity such that the same identifier in two different contexts will be given a distinct surrogate. The context is appended to plaintext value being encrypted. On decryption the provided context is validated against the value used during encryption. If a context was provided during encryption, same context must be provided during decryption as well. If the context is not set, plaintext would be used as is for encryption. If the context is set but: 1. there is no record present when transforming a given value or 2. the field is not present when transforming a given value, plaintext would be used as is for encryption. Note that case (1) is expected when an InfoTypeTransformation is applied to both structured and unstructured ContentItems.
cryptoKey Property Map: The key used by the encryption function. For deterministic encryption using AES-SIV, the provided key is internally expanded to 64 bytes prior to use.
surrogateInfoType Property Map: The custom info type to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom info type followed by the number of characters comprising the surrogate. The following scheme defines the format: {info type name}({surrogate character count}):{surrogate} For example, if the name of custom info type is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom info type 'Surrogate'. This facilitates reversal of the surrogate when it occurs in free text. Note: For record transformations where the entire cell in a table is being transformed, surrogates are not mandatory. Surrogates are used to denote the location of the token and are necessary for re-identification in free form text. In order for inspection to work properly, the name of this info type must not occur naturally anywhere in your data; otherwise, inspection may either - reverse a surrogate that does not correspond to an actual identifier - be unable to parse the surrogate and result in an error Therefore, choose your custom info type name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE.

GooglePrivacyDlpV2CryptoHashConfigResponse

CryptoKey Pulumi.GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2CryptoKeyResponse: The key used by the hash function.

CryptoKey GooglePrivacyDlpV2CryptoKeyResponse: The key used by the hash function.

cryptoKey GooglePrivacyDlpV2CryptoKeyResponse: The key used by the hash function.

cryptoKey GooglePrivacyDlpV2CryptoKeyResponse: The key used by the hash function.

crypto_key GooglePrivacyDlpV2CryptoKeyResponse: The key used by the hash function.

cryptoKey Property Map: The key used by the hash function.

GooglePrivacyDlpV2CryptoKeyResponse

KmsWrapped Pulumi.GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2KmsWrappedCryptoKeyResponse: Key wrapped using Cloud KMS
Transient Pulumi.GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2TransientCryptoKeyResponse: Transient crypto key
Unwrapped Pulumi.GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2UnwrappedCryptoKeyResponse: Unwrapped crypto key

KmsWrapped GooglePrivacyDlpV2KmsWrappedCryptoKeyResponse: Key wrapped using Cloud KMS
Transient GooglePrivacyDlpV2TransientCryptoKeyResponse: Transient crypto key
Unwrapped GooglePrivacyDlpV2UnwrappedCryptoKeyResponse: Unwrapped crypto key

kmsWrapped GooglePrivacyDlpV2KmsWrappedCryptoKeyResponse: Key wrapped using Cloud KMS
transient_ GooglePrivacyDlpV2TransientCryptoKeyResponse: Transient crypto key
unwrapped GooglePrivacyDlpV2UnwrappedCryptoKeyResponse: Unwrapped crypto key

kmsWrapped GooglePrivacyDlpV2KmsWrappedCryptoKeyResponse: Key wrapped using Cloud KMS
transient GooglePrivacyDlpV2TransientCryptoKeyResponse: Transient crypto key
unwrapped GooglePrivacyDlpV2UnwrappedCryptoKeyResponse: Unwrapped crypto key

kms_wrapped GooglePrivacyDlpV2KmsWrappedCryptoKeyResponse: Key wrapped using Cloud KMS
transient GooglePrivacyDlpV2TransientCryptoKeyResponse: Transient crypto key
unwrapped GooglePrivacyDlpV2UnwrappedCryptoKeyResponse: Unwrapped crypto key

kmsWrapped Property Map: Key wrapped using Cloud KMS
transient Property Map: Transient crypto key
unwrapped Property Map: Unwrapped crypto key

GooglePrivacyDlpV2CryptoReplaceFfxFpeConfigResponse

CommonAlphabet string: Common alphabets.
Context Pulumi.GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2FieldIdResponse: The 'tweak', a context may be used for higher security since the same identifier in two different contexts won't be given the same surrogate. If the context is not set, a default tweak will be used. If the context is set but: 1. there is no record present when transforming a given value or 1. the field is not present when transforming a given value, a default tweak will be used. Note that case (1) is expected when an InfoTypeTransformation is applied to both structured and unstructured ContentItems. Currently, the referenced field may be of value type integer or string. The tweak is constructed as a sequence of bytes in big endian byte order such that: - a 64 bit integer is encoded followed by a single byte of value 1 - a string is encoded in UTF-8 format followed by a single byte of value 2
CryptoKey Pulumi.GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2CryptoKeyResponse: The key used by the encryption algorithm.
CustomAlphabet string: This is supported by mapping these to the alphanumeric characters that the FFX mode natively supports. This happens before/after encryption/decryption. Each character listed must appear only once. Number of characters must be in the range [2, 95]. This must be encoded as ASCII. The order of characters does not matter. The full list of allowed characters is: 0123456789ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz ~`!@#$%^&*()_-+={[}]|:;"'<,>.?/
Radix int: The native way to select the alphabet. Must be in the range [2, 95].
SurrogateInfoType Pulumi.GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2InfoTypeResponse: The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType SurrogateType. This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE

CommonAlphabet string: Common alphabets.
Context GooglePrivacyDlpV2FieldIdResponse: The 'tweak', a context may be used for higher security since the same identifier in two different contexts won't be given the same surrogate. If the context is not set, a default tweak will be used. If the context is set but: 1. there is no record present when transforming a given value or 1. the field is not present when transforming a given value, a default tweak will be used. Note that case (1) is expected when an InfoTypeTransformation is applied to both structured and unstructured ContentItems. Currently, the referenced field may be of value type integer or string. The tweak is constructed as a sequence of bytes in big endian byte order such that: - a 64 bit integer is encoded followed by a single byte of value 1 - a string is encoded in UTF-8 format followed by a single byte of value 2
CryptoKey GooglePrivacyDlpV2CryptoKeyResponse: The key used by the encryption algorithm.
CustomAlphabet string: This is supported by mapping these to the alphanumeric characters that the FFX mode natively supports. This happens before/after encryption/decryption. Each character listed must appear only once. Number of characters must be in the range [2, 95]. This must be encoded as ASCII. The order of characters does not matter. The full list of allowed characters is: 0123456789ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz ~`!@#$%^&*()_-+={[}]|:;"'<,>.?/
Radix int: The native way to select the alphabet. Must be in the range [2, 95].
SurrogateInfoType GooglePrivacyDlpV2InfoTypeResponse: The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType SurrogateType. This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE

commonAlphabet String: Common alphabets.
context GooglePrivacyDlpV2FieldIdResponse: The 'tweak', a context may be used for higher security since the same identifier in two different contexts won't be given the same surrogate. If the context is not set, a default tweak will be used. If the context is set but: 1. there is no record present when transforming a given value or 1. the field is not present when transforming a given value, a default tweak will be used. Note that case (1) is expected when an InfoTypeTransformation is applied to both structured and unstructured ContentItems. Currently, the referenced field may be of value type integer or string. The tweak is constructed as a sequence of bytes in big endian byte order such that: - a 64 bit integer is encoded followed by a single byte of value 1 - a string is encoded in UTF-8 format followed by a single byte of value 2
cryptoKey GooglePrivacyDlpV2CryptoKeyResponse: The key used by the encryption algorithm.
customAlphabet String: This is supported by mapping these to the alphanumeric characters that the FFX mode natively supports. This happens before/after encryption/decryption. Each character listed must appear only once. Number of characters must be in the range [2, 95]. This must be encoded as ASCII. The order of characters does not matter. The full list of allowed characters is: 0123456789ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz ~`!@#$%^&*()_-+={[}]|:;"'<,>.?/
radix Integer: The native way to select the alphabet. Must be in the range [2, 95].
surrogateInfoType GooglePrivacyDlpV2InfoTypeResponse: The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType SurrogateType. This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE

commonAlphabet string: Common alphabets.
context GooglePrivacyDlpV2FieldIdResponse: The 'tweak', a context may be used for higher security since the same identifier in two different contexts won't be given the same surrogate. If the context is not set, a default tweak will be used. If the context is set but: 1. there is no record present when transforming a given value or 1. the field is not present when transforming a given value, a default tweak will be used. Note that case (1) is expected when an InfoTypeTransformation is applied to both structured and unstructured ContentItems. Currently, the referenced field may be of value type integer or string. The tweak is constructed as a sequence of bytes in big endian byte order such that: - a 64 bit integer is encoded followed by a single byte of value 1 - a string is encoded in UTF-8 format followed by a single byte of value 2
cryptoKey GooglePrivacyDlpV2CryptoKeyResponse: The key used by the encryption algorithm.
customAlphabet string: This is supported by mapping these to the alphanumeric characters that the FFX mode natively supports. This happens before/after encryption/decryption. Each character listed must appear only once. Number of characters must be in the range [2, 95]. This must be encoded as ASCII. The order of characters does not matter. The full list of allowed characters is: 0123456789ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz ~`!@#$%^&*()_-+={[}]|:;"'<,>.?/
radix number: The native way to select the alphabet. Must be in the range [2, 95].
surrogateInfoType GooglePrivacyDlpV2InfoTypeResponse: The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType SurrogateType. This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE

common_alphabet str: Common alphabets.
context GooglePrivacyDlpV2FieldIdResponse: The 'tweak', a context may be used for higher security since the same identifier in two different contexts won't be given the same surrogate. If the context is not set, a default tweak will be used. If the context is set but: 1. there is no record present when transforming a given value or 1. the field is not present when transforming a given value, a default tweak will be used. Note that case (1) is expected when an InfoTypeTransformation is applied to both structured and unstructured ContentItems. Currently, the referenced field may be of value type integer or string. The tweak is constructed as a sequence of bytes in big endian byte order such that: - a 64 bit integer is encoded followed by a single byte of value 1 - a string is encoded in UTF-8 format followed by a single byte of value 2
crypto_key GooglePrivacyDlpV2CryptoKeyResponse: The key used by the encryption algorithm.
custom_alphabet str: This is supported by mapping these to the alphanumeric characters that the FFX mode natively supports. This happens before/after encryption/decryption. Each character listed must appear only once. Number of characters must be in the range [2, 95]. This must be encoded as ASCII. The order of characters does not matter. The full list of allowed characters is: 0123456789ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz ~`!@#$%^&*()_-+={[}]|:;"'<,>.?/
radix int: The native way to select the alphabet. Must be in the range [2, 95].
surrogate_info_type GooglePrivacyDlpV2InfoTypeResponse: The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType SurrogateType. This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE

commonAlphabet String: Common alphabets.
context Property Map: The 'tweak', a context may be used for higher security since the same identifier in two different contexts won't be given the same surrogate. If the context is not set, a default tweak will be used. If the context is set but: 1. there is no record present when transforming a given value or 1. the field is not present when transforming a given value, a default tweak will be used. Note that case (1) is expected when an InfoTypeTransformation is applied to both structured and unstructured ContentItems. Currently, the referenced field may be of value type integer or string. The tweak is constructed as a sequence of bytes in big endian byte order such that: - a 64 bit integer is encoded followed by a single byte of value 1 - a string is encoded in UTF-8 format followed by a single byte of value 2
cryptoKey Property Map: The key used by the encryption algorithm.
customAlphabet String: This is supported by mapping these to the alphanumeric characters that the FFX mode natively supports. This happens before/after encryption/decryption. Each character listed must appear only once. Number of characters must be in the range [2, 95]. This must be encoded as ASCII. The order of characters does not matter. The full list of allowed characters is: 0123456789ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz ~`!@#$%^&*()_-+={[}]|:;"'<,>.?/
radix Number: The native way to select the alphabet. Must be in the range [2, 95].
surrogateInfoType Property Map: The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType SurrogateType. This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE

GooglePrivacyDlpV2CustomInfoTypeResponse

DetectionRules List<Pulumi.GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2DetectionRuleResponse>: Set of detection rules to apply to all findings of this CustomInfoType. Rules are applied in order that they are specified. Not supported for the surrogate_type CustomInfoType.
Dictionary Pulumi.GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2DictionaryResponse: A list of phrases to detect as a CustomInfoType.
ExclusionType string: If set to EXCLUSION_TYPE_EXCLUDE this infoType will not cause a finding to be returned. It still can be used for rules matching.
InfoType Pulumi.GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2InfoTypeResponse: CustomInfoType can either be a new infoType, or an extension of built-in infoType, when the name matches one of existing infoTypes and that infoType is specified in InspectContent.info_types field. Specifying the latter adds findings to the one detected by the system. If built-in info type is not specified in InspectContent.info_types list then the name is treated as a custom info type.
Likelihood string: Likelihood to return for this CustomInfoType. This base value can be altered by a detection rule if the finding meets the criteria specified by the rule. Defaults to VERY_LIKELY if not specified.
Regex Pulumi.GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2RegexResponse: Regular expression based CustomInfoType.
SensitivityScore Pulumi.GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2SensitivityScoreResponse: Sensitivity for this CustomInfoType. If this CustomInfoType extends an existing InfoType, the sensitivity here will take precedence over that of the original InfoType. If unset for a CustomInfoType, it will default to HIGH. This only applies to data profiling.
StoredType Pulumi.GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2StoredTypeResponse: Load an existing StoredInfoType resource for use in InspectDataSource. Not currently supported in InspectContent.
SurrogateType Pulumi.GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2SurrogateTypeResponse: Message for detecting output from deidentification transformations that support reversing.

DetectionRules []GooglePrivacyDlpV2DetectionRuleResponse: Set of detection rules to apply to all findings of this CustomInfoType. Rules are applied in order that they are specified. Not supported for the surrogate_type CustomInfoType.
Dictionary GooglePrivacyDlpV2DictionaryResponse: A list of phrases to detect as a CustomInfoType.
ExclusionType string: If set to EXCLUSION_TYPE_EXCLUDE this infoType will not cause a finding to be returned. It still can be used for rules matching.
InfoType GooglePrivacyDlpV2InfoTypeResponse: CustomInfoType can either be a new infoType, or an extension of built-in infoType, when the name matches one of existing infoTypes and that infoType is specified in InspectContent.info_types field. Specifying the latter adds findings to the one detected by the system. If built-in info type is not specified in InspectContent.info_types list then the name is treated as a custom info type.
Likelihood string: Likelihood to return for this CustomInfoType. This base value can be altered by a detection rule if the finding meets the criteria specified by the rule. Defaults to VERY_LIKELY if not specified.
Regex GooglePrivacyDlpV2RegexResponse: Regular expression based CustomInfoType.
SensitivityScore GooglePrivacyDlpV2SensitivityScoreResponse: Sensitivity for this CustomInfoType. If this CustomInfoType extends an existing InfoType, the sensitivity here will take precedence over that of the original InfoType. If unset for a CustomInfoType, it will default to HIGH. This only applies to data profiling.
StoredType GooglePrivacyDlpV2StoredTypeResponse: Load an existing StoredInfoType resource for use in InspectDataSource. Not currently supported in InspectContent.
SurrogateType GooglePrivacyDlpV2SurrogateTypeResponse: Message for detecting output from deidentification transformations that support reversing.

detectionRules List<GooglePrivacyDlpV2DetectionRuleResponse>: Set of detection rules to apply to all findings of this CustomInfoType. Rules are applied in order that they are specified. Not supported for the surrogate_type CustomInfoType.
dictionary GooglePrivacyDlpV2DictionaryResponse: A list of phrases to detect as a CustomInfoType.
exclusionType String: If set to EXCLUSION_TYPE_EXCLUDE this infoType will not cause a finding to be returned. It still can be used for rules matching.
infoType GooglePrivacyDlpV2InfoTypeResponse: CustomInfoType can either be a new infoType, or an extension of built-in infoType, when the name matches one of existing infoTypes and that infoType is specified in InspectContent.info_types field. Specifying the latter adds findings to the one detected by the system. If built-in info type is not specified in InspectContent.info_types list then the name is treated as a custom info type.
likelihood String: Likelihood to return for this CustomInfoType. This base value can be altered by a detection rule if the finding meets the criteria specified by the rule. Defaults to VERY_LIKELY if not specified.
regex GooglePrivacyDlpV2RegexResponse: Regular expression based CustomInfoType.
sensitivityScore GooglePrivacyDlpV2SensitivityScoreResponse: Sensitivity for this CustomInfoType. If this CustomInfoType extends an existing InfoType, the sensitivity here will take precedence over that of the original InfoType. If unset for a CustomInfoType, it will default to HIGH. This only applies to data profiling.
storedType GooglePrivacyDlpV2StoredTypeResponse: Load an existing StoredInfoType resource for use in InspectDataSource. Not currently supported in InspectContent.
surrogateType GooglePrivacyDlpV2SurrogateTypeResponse: Message for detecting output from deidentification transformations that support reversing.

detectionRules GooglePrivacyDlpV2DetectionRuleResponse[]: Set of detection rules to apply to all findings of this CustomInfoType. Rules are applied in order that they are specified. Not supported for the surrogate_type CustomInfoType.
dictionary GooglePrivacyDlpV2DictionaryResponse: A list of phrases to detect as a CustomInfoType.
exclusionType string: If set to EXCLUSION_TYPE_EXCLUDE this infoType will not cause a finding to be returned. It still can be used for rules matching.
infoType GooglePrivacyDlpV2InfoTypeResponse: CustomInfoType can either be a new infoType, or an extension of built-in infoType, when the name matches one of existing infoTypes and that infoType is specified in InspectContent.info_types field. Specifying the latter adds findings to the one detected by the system. If built-in info type is not specified in InspectContent.info_types list then the name is treated as a custom info type.
likelihood string: Likelihood to return for this CustomInfoType. This base value can be altered by a detection rule if the finding meets the criteria specified by the rule. Defaults to VERY_LIKELY if not specified.
regex GooglePrivacyDlpV2RegexResponse: Regular expression based CustomInfoType.
sensitivityScore GooglePrivacyDlpV2SensitivityScoreResponse: Sensitivity for this CustomInfoType. If this CustomInfoType extends an existing InfoType, the sensitivity here will take precedence over that of the original InfoType. If unset for a CustomInfoType, it will default to HIGH. This only applies to data profiling.
storedType GooglePrivacyDlpV2StoredTypeResponse: Load an existing StoredInfoType resource for use in InspectDataSource. Not currently supported in InspectContent.
surrogateType GooglePrivacyDlpV2SurrogateTypeResponse: Message for detecting output from deidentification transformations that support reversing.

detection_rules Sequence[GooglePrivacyDlpV2DetectionRuleResponse]: Set of detection rules to apply to all findings of this CustomInfoType. Rules are applied in order that they are specified. Not supported for the surrogate_type CustomInfoType.
dictionary GooglePrivacyDlpV2DictionaryResponse: A list of phrases to detect as a CustomInfoType.
exclusion_type str: If set to EXCLUSION_TYPE_EXCLUDE this infoType will not cause a finding to be returned. It still can be used for rules matching.
info_type GooglePrivacyDlpV2InfoTypeResponse: CustomInfoType can either be a new infoType, or an extension of built-in infoType, when the name matches one of existing infoTypes and that infoType is specified in InspectContent.info_types field. Specifying the latter adds findings to the one detected by the system. If built-in info type is not specified in InspectContent.info_types list then the name is treated as a custom info type.
likelihood str: Likelihood to return for this CustomInfoType. This base value can be altered by a detection rule if the finding meets the criteria specified by the rule. Defaults to VERY_LIKELY if not specified.
regex GooglePrivacyDlpV2RegexResponse: Regular expression based CustomInfoType.
sensitivity_score GooglePrivacyDlpV2SensitivityScoreResponse: Sensitivity for this CustomInfoType. If this CustomInfoType extends an existing InfoType, the sensitivity here will take precedence over that of the original InfoType. If unset for a CustomInfoType, it will default to HIGH. This only applies to data profiling.
stored_type GooglePrivacyDlpV2StoredTypeResponse: Load an existing StoredInfoType resource for use in InspectDataSource. Not currently supported in InspectContent.
surrogate_type GooglePrivacyDlpV2SurrogateTypeResponse: Message for detecting output from deidentification transformations that support reversing.

detectionRules List<Property Map>: Set of detection rules to apply to all findings of this CustomInfoType. Rules are applied in order that they are specified. Not supported for the surrogate_type CustomInfoType.
dictionary Property Map: A list of phrases to detect as a CustomInfoType.
exclusionType String: If set to EXCLUSION_TYPE_EXCLUDE this infoType will not cause a finding to be returned. It still can be used for rules matching.
infoType Property Map: CustomInfoType can either be a new infoType, or an extension of built-in infoType, when the name matches one of existing infoTypes and that infoType is specified in InspectContent.info_types field. Specifying the latter adds findings to the one detected by the system. If built-in info type is not specified in InspectContent.info_types list then the name is treated as a custom info type.
likelihood String: Likelihood to return for this CustomInfoType. This base value can be altered by a detection rule if the finding meets the criteria specified by the rule. Defaults to VERY_LIKELY if not specified.
regex Property Map: Regular expression based CustomInfoType.
sensitivityScore Property Map: Sensitivity for this CustomInfoType. If this CustomInfoType extends an existing InfoType, the sensitivity here will take precedence over that of the original InfoType. If unset for a CustomInfoType, it will default to HIGH. This only applies to data profiling.
storedType Property Map: Load an existing StoredInfoType resource for use in InspectDataSource. Not currently supported in InspectContent.
surrogateType Property Map: Message for detecting output from deidentification transformations that support reversing.

GooglePrivacyDlpV2DatastoreOptionsResponse

Kind Pulumi.GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2KindExpressionResponse: The kind to process.
PartitionId Pulumi.GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2PartitionIdResponse: A partition ID identifies a grouping of entities. The grouping is always by project and namespace, however the namespace ID may be empty.

Kind GooglePrivacyDlpV2KindExpressionResponse: The kind to process.
PartitionId GooglePrivacyDlpV2PartitionIdResponse: A partition ID identifies a grouping of entities. The grouping is always by project and namespace, however the namespace ID may be empty.

kind GooglePrivacyDlpV2KindExpressionResponse: The kind to process.
partitionId GooglePrivacyDlpV2PartitionIdResponse: A partition ID identifies a grouping of entities. The grouping is always by project and namespace, however the namespace ID may be empty.

kind GooglePrivacyDlpV2KindExpressionResponse: The kind to process.
partitionId GooglePrivacyDlpV2PartitionIdResponse: A partition ID identifies a grouping of entities. The grouping is always by project and namespace, however the namespace ID may be empty.

kind GooglePrivacyDlpV2KindExpressionResponse: The kind to process.
partition_id GooglePrivacyDlpV2PartitionIdResponse: A partition ID identifies a grouping of entities. The grouping is always by project and namespace, however the namespace ID may be empty.

kind Property Map: The kind to process.
partitionId Property Map: A partition ID identifies a grouping of entities. The grouping is always by project and namespace, however the namespace ID may be empty.

GooglePrivacyDlpV2DateShiftConfigResponse

Context Pulumi.GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2FieldIdResponse: Points to the field that contains the context, for example, an entity id. If set, must also set cryptoKey. If set, shift will be consistent for the given context.
CryptoKey Pulumi.GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2CryptoKeyResponse: Causes the shift to be computed based on this key and the context. This results in the same shift for the same context and crypto_key. If set, must also set context. Can only be applied to table items.
LowerBoundDays int: For example, -5 means shift date to at most 5 days back in the past.
UpperBoundDays int: Range of shift in days. Actual shift will be selected at random within this range (inclusive ends). Negative means shift to earlier in time. Must not be more than 365250 days (1000 years) each direction. For example, 3 means shift date to at most 3 days into the future.

Context GooglePrivacyDlpV2FieldIdResponse: Points to the field that contains the context, for example, an entity id. If set, must also set cryptoKey. If set, shift will be consistent for the given context.
CryptoKey GooglePrivacyDlpV2CryptoKeyResponse: Causes the shift to be computed based on this key and the context. This results in the same shift for the same context and crypto_key. If set, must also set context. Can only be applied to table items.
LowerBoundDays int: For example, -5 means shift date to at most 5 days back in the past.
UpperBoundDays int: Range of shift in days. Actual shift will be selected at random within this range (inclusive ends). Negative means shift to earlier in time. Must not be more than 365250 days (1000 years) each direction. For example, 3 means shift date to at most 3 days into the future.

context GooglePrivacyDlpV2FieldIdResponse: Points to the field that contains the context, for example, an entity id. If set, must also set cryptoKey. If set, shift will be consistent for the given context.
cryptoKey GooglePrivacyDlpV2CryptoKeyResponse: Causes the shift to be computed based on this key and the context. This results in the same shift for the same context and crypto_key. If set, must also set context. Can only be applied to table items.
lowerBoundDays Integer: For example, -5 means shift date to at most 5 days back in the past.
upperBoundDays Integer: Range of shift in days. Actual shift will be selected at random within this range (inclusive ends). Negative means shift to earlier in time. Must not be more than 365250 days (1000 years) each direction. For example, 3 means shift date to at most 3 days into the future.

context GooglePrivacyDlpV2FieldIdResponse: Points to the field that contains the context, for example, an entity id. If set, must also set cryptoKey. If set, shift will be consistent for the given context.
cryptoKey GooglePrivacyDlpV2CryptoKeyResponse: Causes the shift to be computed based on this key and the context. This results in the same shift for the same context and crypto_key. If set, must also set context. Can only be applied to table items.
lowerBoundDays number: For example, -5 means shift date to at most 5 days back in the past.
upperBoundDays number: Range of shift in days. Actual shift will be selected at random within this range (inclusive ends). Negative means shift to earlier in time. Must not be more than 365250 days (1000 years) each direction. For example, 3 means shift date to at most 3 days into the future.

context GooglePrivacyDlpV2FieldIdResponse: Points to the field that contains the context, for example, an entity id. If set, must also set cryptoKey. If set, shift will be consistent for the given context.
crypto_key GooglePrivacyDlpV2CryptoKeyResponse: Causes the shift to be computed based on this key and the context. This results in the same shift for the same context and crypto_key. If set, must also set context. Can only be applied to table items.
lower_bound_days int: For example, -5 means shift date to at most 5 days back in the past.
upper_bound_days int: Range of shift in days. Actual shift will be selected at random within this range (inclusive ends). Negative means shift to earlier in time. Must not be more than 365250 days (1000 years) each direction. For example, 3 means shift date to at most 3 days into the future.

context Property Map: Points to the field that contains the context, for example, an entity id. If set, must also set cryptoKey. If set, shift will be consistent for the given context.
cryptoKey Property Map: Causes the shift to be computed based on this key and the context. This results in the same shift for the same context and crypto_key. If set, must also set context. Can only be applied to table items.
lowerBoundDays Number: For example, -5 means shift date to at most 5 days back in the past.
upperBoundDays Number: Range of shift in days. Actual shift will be selected at random within this range (inclusive ends). Negative means shift to earlier in time. Must not be more than 365250 days (1000 years) each direction. For example, 3 means shift date to at most 3 days into the future.

GooglePrivacyDlpV2DeidentifyConfigResponse

ImageTransformations Pulumi.GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2ImageTransformationsResponse: Treat the dataset as an image and redact.
InfoTypeTransformations Pulumi.GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2InfoTypeTransformationsResponse: Treat the dataset as free-form text and apply the same free text transformation everywhere.
RecordTransformations Pulumi.GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2RecordTransformationsResponse: Treat the dataset as structured. Transformations can be applied to specific locations within structured datasets, such as transforming a column within a table.
TransformationErrorHandling Pulumi.GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2TransformationErrorHandlingResponse: Mode for handling transformation errors. If left unspecified, the default mode is TransformationErrorHandling.ThrowError.

ImageTransformations GooglePrivacyDlpV2ImageTransformationsResponse: Treat the dataset as an image and redact.
InfoTypeTransformations GooglePrivacyDlpV2InfoTypeTransformationsResponse: Treat the dataset as free-form text and apply the same free text transformation everywhere.
RecordTransformations GooglePrivacyDlpV2RecordTransformationsResponse: Treat the dataset as structured. Transformations can be applied to specific locations within structured datasets, such as transforming a column within a table.
TransformationErrorHandling GooglePrivacyDlpV2TransformationErrorHandlingResponse: Mode for handling transformation errors. If left unspecified, the default mode is TransformationErrorHandling.ThrowError.

imageTransformations GooglePrivacyDlpV2ImageTransformationsResponse: Treat the dataset as an image and redact.
infoTypeTransformations GooglePrivacyDlpV2InfoTypeTransformationsResponse: Treat the dataset as free-form text and apply the same free text transformation everywhere.
recordTransformations GooglePrivacyDlpV2RecordTransformationsResponse: Treat the dataset as structured. Transformations can be applied to specific locations within structured datasets, such as transforming a column within a table.
transformationErrorHandling GooglePrivacyDlpV2TransformationErrorHandlingResponse: Mode for handling transformation errors. If left unspecified, the default mode is TransformationErrorHandling.ThrowError.

imageTransformations GooglePrivacyDlpV2ImageTransformationsResponse: Treat the dataset as an image and redact.
infoTypeTransformations GooglePrivacyDlpV2InfoTypeTransformationsResponse: Treat the dataset as free-form text and apply the same free text transformation everywhere.
recordTransformations GooglePrivacyDlpV2RecordTransformationsResponse: Treat the dataset as structured. Transformations can be applied to specific locations within structured datasets, such as transforming a column within a table.
transformationErrorHandling GooglePrivacyDlpV2TransformationErrorHandlingResponse: Mode for handling transformation errors. If left unspecified, the default mode is TransformationErrorHandling.ThrowError.

image_transformations GooglePrivacyDlpV2ImageTransformationsResponse: Treat the dataset as an image and redact.
info_type_transformations GooglePrivacyDlpV2InfoTypeTransformationsResponse: Treat the dataset as free-form text and apply the same free text transformation everywhere.
record_transformations GooglePrivacyDlpV2RecordTransformationsResponse: Treat the dataset as structured. Transformations can be applied to specific locations within structured datasets, such as transforming a column within a table.
transformation_error_handling GooglePrivacyDlpV2TransformationErrorHandlingResponse: Mode for handling transformation errors. If left unspecified, the default mode is TransformationErrorHandling.ThrowError.

imageTransformations Property Map: Treat the dataset as an image and redact.
infoTypeTransformations Property Map: Treat the dataset as free-form text and apply the same free text transformation everywhere.
recordTransformations Property Map: Treat the dataset as structured. Transformations can be applied to specific locations within structured datasets, such as transforming a column within a table.
transformationErrorHandling Property Map: Mode for handling transformation errors. If left unspecified, the default mode is TransformationErrorHandling.ThrowError.

GooglePrivacyDlpV2DeidentifyDataSourceDetailsResponse

DeidentifyStats Pulumi.GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2DeidentifyDataSourceStatsResponse: Stats about the de-identification operation.
RequestedOptions Pulumi.GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2RequestedDeidentifyOptionsResponse: De-identification config used for the request.

DeidentifyStats GooglePrivacyDlpV2DeidentifyDataSourceStatsResponse: Stats about the de-identification operation.
RequestedOptions GooglePrivacyDlpV2RequestedDeidentifyOptionsResponse: De-identification config used for the request.

deidentifyStats GooglePrivacyDlpV2DeidentifyDataSourceStatsResponse: Stats about the de-identification operation.
requestedOptions GooglePrivacyDlpV2RequestedDeidentifyOptionsResponse: De-identification config used for the request.

deidentifyStats GooglePrivacyDlpV2DeidentifyDataSourceStatsResponse: Stats about the de-identification operation.
requestedOptions GooglePrivacyDlpV2RequestedDeidentifyOptionsResponse: De-identification config used for the request.

deidentify_stats GooglePrivacyDlpV2DeidentifyDataSourceStatsResponse: Stats about the de-identification operation.
requested_options GooglePrivacyDlpV2RequestedDeidentifyOptionsResponse: De-identification config used for the request.

deidentifyStats Property Map: Stats about the de-identification operation.
requestedOptions Property Map: De-identification config used for the request.

GooglePrivacyDlpV2DeidentifyDataSourceStatsResponse

TransformationCount string: Number of successfully applied transformations.
TransformationErrorCount string: Number of errors encountered while trying to apply transformations.
TransformedBytes string: Total size in bytes that were transformed in some way.

TransformationCount string: Number of successfully applied transformations.
TransformationErrorCount string: Number of errors encountered while trying to apply transformations.
TransformedBytes string: Total size in bytes that were transformed in some way.

transformationCount String: Number of successfully applied transformations.
transformationErrorCount String: Number of errors encountered while trying to apply transformations.
transformedBytes String: Total size in bytes that were transformed in some way.

transformationCount string: Number of successfully applied transformations.
transformationErrorCount string: Number of errors encountered while trying to apply transformations.
transformedBytes string: Total size in bytes that were transformed in some way.

transformation_count str: Number of successfully applied transformations.
transformation_error_count str: Number of errors encountered while trying to apply transformations.
transformed_bytes str: Total size in bytes that were transformed in some way.

transformationCount String: Number of successfully applied transformations.
transformationErrorCount String: Number of errors encountered while trying to apply transformations.
transformedBytes String: Total size in bytes that were transformed in some way.

GooglePrivacyDlpV2DeidentifyResponse

CloudStorageOutput string: User settable Cloud Storage bucket and folders to store de-identified files. This field must be set for cloud storage deidentification. The output Cloud Storage bucket must be different from the input bucket. De-identified files will overwrite files in the output path. Form of: gs://bucket/folder/ or gs://bucket
FileTypesToTransform List<string>: List of user-specified file type groups to transform. If specified, only the files with these filetypes will be transformed. If empty, all supported files will be transformed. Supported types may be automatically added over time. If a file type is set in this field that isn't supported by the Deidentify action then the job will fail and will not be successfully created/started. Currently the only filetypes supported are: IMAGES, TEXT_FILES, CSV, TSV.
TransformationConfig Pulumi.GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2TransformationConfigResponse: User specified deidentify templates and configs for structured, unstructured, and image files.
TransformationDetailsStorageConfig Pulumi.GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2TransformationDetailsStorageConfigResponse: Config for storing transformation details. This is separate from the de-identified content, and contains metadata about the successful transformations and/or failures that occurred while de-identifying. This needs to be set in order for users to access information about the status of each transformation (see TransformationDetails message for more information about what is noted).

CloudStorageOutput string: User settable Cloud Storage bucket and folders to store de-identified files. This field must be set for cloud storage deidentification. The output Cloud Storage bucket must be different from the input bucket. De-identified files will overwrite files in the output path. Form of: gs://bucket/folder/ or gs://bucket
FileTypesToTransform []string: List of user-specified file type groups to transform. If specified, only the files with these filetypes will be transformed. If empty, all supported files will be transformed. Supported types may be automatically added over time. If a file type is set in this field that isn't supported by the Deidentify action then the job will fail and will not be successfully created/started. Currently the only filetypes supported are: IMAGES, TEXT_FILES, CSV, TSV.
TransformationConfig GooglePrivacyDlpV2TransformationConfigResponse: User specified deidentify templates and configs for structured, unstructured, and image files.
TransformationDetailsStorageConfig GooglePrivacyDlpV2TransformationDetailsStorageConfigResponse: Config for storing transformation details. This is separate from the de-identified content, and contains metadata about the successful transformations and/or failures that occurred while de-identifying. This needs to be set in order for users to access information about the status of each transformation (see TransformationDetails message for more information about what is noted).

cloudStorageOutput String: User settable Cloud Storage bucket and folders to store de-identified files. This field must be set for cloud storage deidentification. The output Cloud Storage bucket must be different from the input bucket. De-identified files will overwrite files in the output path. Form of: gs://bucket/folder/ or gs://bucket
fileTypesToTransform List<String>: List of user-specified file type groups to transform. If specified, only the files with these filetypes will be transformed. If empty, all supported files will be transformed. Supported types may be automatically added over time. If a file type is set in this field that isn't supported by the Deidentify action then the job will fail and will not be successfully created/started. Currently the only filetypes supported are: IMAGES, TEXT_FILES, CSV, TSV.
transformationConfig GooglePrivacyDlpV2TransformationConfigResponse: User specified deidentify templates and configs for structured, unstructured, and image files.
transformationDetailsStorageConfig GooglePrivacyDlpV2TransformationDetailsStorageConfigResponse: Config for storing transformation details. This is separate from the de-identified content, and contains metadata about the successful transformations and/or failures that occurred while de-identifying. This needs to be set in order for users to access information about the status of each transformation (see TransformationDetails message for more information about what is noted).

cloudStorageOutput string: User settable Cloud Storage bucket and folders to store de-identified files. This field must be set for cloud storage deidentification. The output Cloud Storage bucket must be different from the input bucket. De-identified files will overwrite files in the output path. Form of: gs://bucket/folder/ or gs://bucket
fileTypesToTransform string[]: List of user-specified file type groups to transform. If specified, only the files with these filetypes will be transformed. If empty, all supported files will be transformed. Supported types may be automatically added over time. If a file type is set in this field that isn't supported by the Deidentify action then the job will fail and will not be successfully created/started. Currently the only filetypes supported are: IMAGES, TEXT_FILES, CSV, TSV.
transformationConfig GooglePrivacyDlpV2TransformationConfigResponse: User specified deidentify templates and configs for structured, unstructured, and image files.
transformationDetailsStorageConfig GooglePrivacyDlpV2TransformationDetailsStorageConfigResponse: Config for storing transformation details. This is separate from the de-identified content, and contains metadata about the successful transformations and/or failures that occurred while de-identifying. This needs to be set in order for users to access information about the status of each transformation (see TransformationDetails message for more information about what is noted).

cloud_storage_output str: User settable Cloud Storage bucket and folders to store de-identified files. This field must be set for cloud storage deidentification. The output Cloud Storage bucket must be different from the input bucket. De-identified files will overwrite files in the output path. Form of: gs://bucket/folder/ or gs://bucket
file_types_to_transform Sequence[str]: List of user-specified file type groups to transform. If specified, only the files with these filetypes will be transformed. If empty, all supported files will be transformed. Supported types may be automatically added over time. If a file type is set in this field that isn't supported by the Deidentify action then the job will fail and will not be successfully created/started. Currently the only filetypes supported are: IMAGES, TEXT_FILES, CSV, TSV.
transformation_config GooglePrivacyDlpV2TransformationConfigResponse: User specified deidentify templates and configs for structured, unstructured, and image files.
transformation_details_storage_config GooglePrivacyDlpV2TransformationDetailsStorageConfigResponse: Config for storing transformation details. This is separate from the de-identified content, and contains metadata about the successful transformations and/or failures that occurred while de-identifying. This needs to be set in order for users to access information about the status of each transformation (see TransformationDetails message for more information about what is noted).

cloudStorageOutput String: User settable Cloud Storage bucket and folders to store de-identified files. This field must be set for cloud storage deidentification. The output Cloud Storage bucket must be different from the input bucket. De-identified files will overwrite files in the output path. Form of: gs://bucket/folder/ or gs://bucket
fileTypesToTransform List<String>: List of user-specified file type groups to transform. If specified, only the files with these filetypes will be transformed. If empty, all supported files will be transformed. Supported types may be automatically added over time. If a file type is set in this field that isn't supported by the Deidentify action then the job will fail and will not be successfully created/started. Currently the only filetypes supported are: IMAGES, TEXT_FILES, CSV, TSV.
transformationConfig Property Map: User specified deidentify templates and configs for structured, unstructured, and image files.
transformationDetailsStorageConfig Property Map: Config for storing transformation details. This is separate from the de-identified content, and contains metadata about the successful transformations and/or failures that occurred while de-identifying. This needs to be set in order for users to access information about the status of each transformation (see TransformationDetails message for more information about what is noted).

GooglePrivacyDlpV2DeidentifyTemplateResponse

CreateTime string: The creation timestamp of an inspectTemplate.
DeidentifyConfig Pulumi.GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2DeidentifyConfigResponse: The core content of the template.
Description string: Short description (max 256 chars).
DisplayName string: Display name (max 256 chars).
Name string: The template name. The template will have one of the following formats: projects/PROJECT_ID/deidentifyTemplates/TEMPLATE_ID OR organizations/ORGANIZATION_ID/deidentifyTemplates/TEMPLATE_ID
UpdateTime string: The last update timestamp of an inspectTemplate.

CreateTime string: The creation timestamp of an inspectTemplate.
DeidentifyConfig GooglePrivacyDlpV2DeidentifyConfigResponse: The core content of the template.
Description string: Short description (max 256 chars).
DisplayName string: Display name (max 256 chars).
Name string: The template name. The template will have one of the following formats: projects/PROJECT_ID/deidentifyTemplates/TEMPLATE_ID OR organizations/ORGANIZATION_ID/deidentifyTemplates/TEMPLATE_ID
UpdateTime string: The last update timestamp of an inspectTemplate.

createTime String: The creation timestamp of an inspectTemplate.
deidentifyConfig GooglePrivacyDlpV2DeidentifyConfigResponse: The core content of the template.
description String: Short description (max 256 chars).
displayName String: Display name (max 256 chars).
name String: The template name. The template will have one of the following formats: projects/PROJECT_ID/deidentifyTemplates/TEMPLATE_ID OR organizations/ORGANIZATION_ID/deidentifyTemplates/TEMPLATE_ID
updateTime String: The last update timestamp of an inspectTemplate.

createTime string: The creation timestamp of an inspectTemplate.
deidentifyConfig GooglePrivacyDlpV2DeidentifyConfigResponse: The core content of the template.
description string: Short description (max 256 chars).
displayName string: Display name (max 256 chars).
name string: The template name. The template will have one of the following formats: projects/PROJECT_ID/deidentifyTemplates/TEMPLATE_ID OR organizations/ORGANIZATION_ID/deidentifyTemplates/TEMPLATE_ID
updateTime string: The last update timestamp of an inspectTemplate.

create_time str: The creation timestamp of an inspectTemplate.
deidentify_config GooglePrivacyDlpV2DeidentifyConfigResponse: The core content of the template.
description str: Short description (max 256 chars).
display_name str: Display name (max 256 chars).
name str: The template name. The template will have one of the following formats: projects/PROJECT_ID/deidentifyTemplates/TEMPLATE_ID OR organizations/ORGANIZATION_ID/deidentifyTemplates/TEMPLATE_ID
update_time str: The last update timestamp of an inspectTemplate.

createTime String: The creation timestamp of an inspectTemplate.
deidentifyConfig Property Map: The core content of the template.
description String: Short description (max 256 chars).
displayName String: Display name (max 256 chars).
name String: The template name. The template will have one of the following formats: projects/PROJECT_ID/deidentifyTemplates/TEMPLATE_ID OR organizations/ORGANIZATION_ID/deidentifyTemplates/TEMPLATE_ID
updateTime String: The last update timestamp of an inspectTemplate.

GooglePrivacyDlpV2DeltaPresenceEstimationConfigResponse

AuxiliaryTables List<Pulumi.GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2StatisticalTableResponse>: Several auxiliary tables can be used in the analysis. Each custom_tag used to tag a quasi-identifiers field must appear in exactly one field of one auxiliary table.
QuasiIds List<Pulumi.GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2QuasiIdResponse>: Fields considered to be quasi-identifiers. No two fields can have the same tag.
RegionCode string: ISO 3166-1 alpha-2 region code to use in the statistical modeling. Set if no column is tagged with a region-specific InfoType (like US_ZIP_5) or a region code.

AuxiliaryTables []GooglePrivacyDlpV2StatisticalTableResponse: Several auxiliary tables can be used in the analysis. Each custom_tag used to tag a quasi-identifiers field must appear in exactly one field of one auxiliary table.
QuasiIds []GooglePrivacyDlpV2QuasiIdResponse: Fields considered to be quasi-identifiers. No two fields can have the same tag.
RegionCode string: ISO 3166-1 alpha-2 region code to use in the statistical modeling. Set if no column is tagged with a region-specific InfoType (like US_ZIP_5) or a region code.

auxiliaryTables List<GooglePrivacyDlpV2StatisticalTableResponse>: Several auxiliary tables can be used in the analysis. Each custom_tag used to tag a quasi-identifiers field must appear in exactly one field of one auxiliary table.
quasiIds List<GooglePrivacyDlpV2QuasiIdResponse>: Fields considered to be quasi-identifiers. No two fields can have the same tag.
regionCode String: ISO 3166-1 alpha-2 region code to use in the statistical modeling. Set if no column is tagged with a region-specific InfoType (like US_ZIP_5) or a region code.

auxiliaryTables GooglePrivacyDlpV2StatisticalTableResponse[]: Several auxiliary tables can be used in the analysis. Each custom_tag used to tag a quasi-identifiers field must appear in exactly one field of one auxiliary table.
quasiIds GooglePrivacyDlpV2QuasiIdResponse[]: Fields considered to be quasi-identifiers. No two fields can have the same tag.
regionCode string: ISO 3166-1 alpha-2 region code to use in the statistical modeling. Set if no column is tagged with a region-specific InfoType (like US_ZIP_5) or a region code.

auxiliary_tables Sequence[GooglePrivacyDlpV2StatisticalTableResponse]: Several auxiliary tables can be used in the analysis. Each custom_tag used to tag a quasi-identifiers field must appear in exactly one field of one auxiliary table.
quasi_ids Sequence[GooglePrivacyDlpV2QuasiIdResponse]: Fields considered to be quasi-identifiers. No two fields can have the same tag.
region_code str: ISO 3166-1 alpha-2 region code to use in the statistical modeling. Set if no column is tagged with a region-specific InfoType (like US_ZIP_5) or a region code.

auxiliaryTables List<Property Map>: Several auxiliary tables can be used in the analysis. Each custom_tag used to tag a quasi-identifiers field must appear in exactly one field of one auxiliary table.
quasiIds List<Property Map>: Fields considered to be quasi-identifiers. No two fields can have the same tag.
regionCode String: ISO 3166-1 alpha-2 region code to use in the statistical modeling. Set if no column is tagged with a region-specific InfoType (like US_ZIP_5) or a region code.

GooglePrivacyDlpV2DeltaPresenceEstimationHistogramBucketResponse

BucketSize string: Number of records within these probability bounds.
BucketValueCount string: Total number of distinct quasi-identifier tuple values in this bucket.
BucketValues List<Pulumi.GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2DeltaPresenceEstimationQuasiIdValuesResponse>: Sample of quasi-identifier tuple values in this bucket. The total number of classes returned per bucket is capped at 20.
MaxProbability double: Always greater than or equal to min_probability.
MinProbability double: Between 0 and 1.

BucketSize string: Number of records within these probability bounds.
BucketValueCount string: Total number of distinct quasi-identifier tuple values in this bucket.
BucketValues []GooglePrivacyDlpV2DeltaPresenceEstimationQuasiIdValuesResponse: Sample of quasi-identifier tuple values in this bucket. The total number of classes returned per bucket is capped at 20.
MaxProbability float64: Always greater than or equal to min_probability.
MinProbability float64: Between 0 and 1.

bucketSize String: Number of records within these probability bounds.
bucketValueCount String: Total number of distinct quasi-identifier tuple values in this bucket.
bucketValues List<GooglePrivacyDlpV2DeltaPresenceEstimationQuasiIdValuesResponse>: Sample of quasi-identifier tuple values in this bucket. The total number of classes returned per bucket is capped at 20.
maxProbability Double: Always greater than or equal to min_probability.
minProbability Double: Between 0 and 1.

bucketSize string: Number of records within these probability bounds.
bucketValueCount string: Total number of distinct quasi-identifier tuple values in this bucket.
bucketValues GooglePrivacyDlpV2DeltaPresenceEstimationQuasiIdValuesResponse[]: Sample of quasi-identifier tuple values in this bucket. The total number of classes returned per bucket is capped at 20.
maxProbability number: Always greater than or equal to min_probability.
minProbability number: Between 0 and 1.

bucket_size str: Number of records within these probability bounds.
bucket_value_count str: Total number of distinct quasi-identifier tuple values in this bucket.
bucket_values Sequence[GooglePrivacyDlpV2DeltaPresenceEstimationQuasiIdValuesResponse]: Sample of quasi-identifier tuple values in this bucket. The total number of classes returned per bucket is capped at 20.
max_probability float: Always greater than or equal to min_probability.
min_probability float: Between 0 and 1.

bucketSize String: Number of records within these probability bounds.
bucketValueCount String: Total number of distinct quasi-identifier tuple values in this bucket.
bucketValues List<Property Map>: Sample of quasi-identifier tuple values in this bucket. The total number of classes returned per bucket is capped at 20.
maxProbability Number: Always greater than or equal to min_probability.
minProbability Number: Between 0 and 1.

GooglePrivacyDlpV2DeltaPresenceEstimationQuasiIdValuesResponse

EstimatedProbability double: The estimated probability that a given individual sharing these quasi-identifier values is in the dataset. This value, typically called δ, is the ratio between the number of records in the dataset with these quasi-identifier values, and the total number of individuals (inside and outside the dataset) with these quasi-identifier values. For example, if there are 15 individuals in the dataset who share the same quasi-identifier values, and an estimated 100 people in the entire population with these values, then δ is 0.15.
QuasiIdsValues List<Pulumi.GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2ValueResponse>: The quasi-identifier values.

EstimatedProbability float64: The estimated probability that a given individual sharing these quasi-identifier values is in the dataset. This value, typically called δ, is the ratio between the number of records in the dataset with these quasi-identifier values, and the total number of individuals (inside and outside the dataset) with these quasi-identifier values. For example, if there are 15 individuals in the dataset who share the same quasi-identifier values, and an estimated 100 people in the entire population with these values, then δ is 0.15.
QuasiIdsValues []GooglePrivacyDlpV2ValueResponse: The quasi-identifier values.

estimatedProbability Double: The estimated probability that a given individual sharing these quasi-identifier values is in the dataset. This value, typically called δ, is the ratio between the number of records in the dataset with these quasi-identifier values, and the total number of individuals (inside and outside the dataset) with these quasi-identifier values. For example, if there are 15 individuals in the dataset who share the same quasi-identifier values, and an estimated 100 people in the entire population with these values, then δ is 0.15.
quasiIdsValues List<GooglePrivacyDlpV2ValueResponse>: The quasi-identifier values.

estimatedProbability number: The estimated probability that a given individual sharing these quasi-identifier values is in the dataset. This value, typically called δ, is the ratio between the number of records in the dataset with these quasi-identifier values, and the total number of individuals (inside and outside the dataset) with these quasi-identifier values. For example, if there are 15 individuals in the dataset who share the same quasi-identifier values, and an estimated 100 people in the entire population with these values, then δ is 0.15.
quasiIdsValues GooglePrivacyDlpV2ValueResponse[]: The quasi-identifier values.

estimated_probability float: The estimated probability that a given individual sharing these quasi-identifier values is in the dataset. This value, typically called δ, is the ratio between the number of records in the dataset with these quasi-identifier values, and the total number of individuals (inside and outside the dataset) with these quasi-identifier values. For example, if there are 15 individuals in the dataset who share the same quasi-identifier values, and an estimated 100 people in the entire population with these values, then δ is 0.15.
quasi_ids_values Sequence[GooglePrivacyDlpV2ValueResponse]: The quasi-identifier values.

estimatedProbability Number: The estimated probability that a given individual sharing these quasi-identifier values is in the dataset. This value, typically called δ, is the ratio between the number of records in the dataset with these quasi-identifier values, and the total number of individuals (inside and outside the dataset) with these quasi-identifier values. For example, if there are 15 individuals in the dataset who share the same quasi-identifier values, and an estimated 100 people in the entire population with these values, then δ is 0.15.
quasiIdsValues List<Property Map>: The quasi-identifier values.

GooglePrivacyDlpV2DeltaPresenceEstimationResultResponse

DeltaPresenceEstimationHistogram List<Pulumi.GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2DeltaPresenceEstimationHistogramBucketResponse>: The intervals [min_probability, max_probability) do not overlap. If a value doesn't correspond to any such interval, the associated frequency is zero. For example, the following records: {min_probability: 0, max_probability: 0.1, frequency: 17} {min_probability: 0.2, max_probability: 0.3, frequency: 42} {min_probability: 0.3, max_probability: 0.4, frequency: 99} mean that there are no record with an estimated probability in [0.1, 0.2) nor larger or equal to 0.4.

DeltaPresenceEstimationHistogram []GooglePrivacyDlpV2DeltaPresenceEstimationHistogramBucketResponse: The intervals [min_probability, max_probability) do not overlap. If a value doesn't correspond to any such interval, the associated frequency is zero. For example, the following records: {min_probability: 0, max_probability: 0.1, frequency: 17} {min_probability: 0.2, max_probability: 0.3, frequency: 42} {min_probability: 0.3, max_probability: 0.4, frequency: 99} mean that there are no record with an estimated probability in [0.1, 0.2) nor larger or equal to 0.4.

deltaPresenceEstimationHistogram List<GooglePrivacyDlpV2DeltaPresenceEstimationHistogramBucketResponse>: The intervals [min_probability, max_probability) do not overlap. If a value doesn't correspond to any such interval, the associated frequency is zero. For example, the following records: {min_probability: 0, max_probability: 0.1, frequency: 17} {min_probability: 0.2, max_probability: 0.3, frequency: 42} {min_probability: 0.3, max_probability: 0.4, frequency: 99} mean that there are no record with an estimated probability in [0.1, 0.2) nor larger or equal to 0.4.

deltaPresenceEstimationHistogram GooglePrivacyDlpV2DeltaPresenceEstimationHistogramBucketResponse[]: The intervals [min_probability, max_probability) do not overlap. If a value doesn't correspond to any such interval, the associated frequency is zero. For example, the following records: {min_probability: 0, max_probability: 0.1, frequency: 17} {min_probability: 0.2, max_probability: 0.3, frequency: 42} {min_probability: 0.3, max_probability: 0.4, frequency: 99} mean that there are no record with an estimated probability in [0.1, 0.2) nor larger or equal to 0.4.

delta_presence_estimation_histogram Sequence[GooglePrivacyDlpV2DeltaPresenceEstimationHistogramBucketResponse]: The intervals [min_probability, max_probability) do not overlap. If a value doesn't correspond to any such interval, the associated frequency is zero. For example, the following records: {min_probability: 0, max_probability: 0.1, frequency: 17} {min_probability: 0.2, max_probability: 0.3, frequency: 42} {min_probability: 0.3, max_probability: 0.4, frequency: 99} mean that there are no record with an estimated probability in [0.1, 0.2) nor larger or equal to 0.4.

deltaPresenceEstimationHistogram List<Property Map>: The intervals [min_probability, max_probability) do not overlap. If a value doesn't correspond to any such interval, the associated frequency is zero. For example, the following records: {min_probability: 0, max_probability: 0.1, frequency: 17} {min_probability: 0.2, max_probability: 0.3, frequency: 42} {min_probability: 0.3, max_probability: 0.4, frequency: 99} mean that there are no record with an estimated probability in [0.1, 0.2) nor larger or equal to 0.4.

GooglePrivacyDlpV2DetectionRuleResponse

HotwordRule Pulumi.GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2HotwordRuleResponse: Hotword-based detection rule.

HotwordRule GooglePrivacyDlpV2HotwordRuleResponse: Hotword-based detection rule.

hotwordRule GooglePrivacyDlpV2HotwordRuleResponse: Hotword-based detection rule.

hotwordRule GooglePrivacyDlpV2HotwordRuleResponse: Hotword-based detection rule.

hotword_rule GooglePrivacyDlpV2HotwordRuleResponse: Hotword-based detection rule.

hotwordRule Property Map: Hotword-based detection rule.

GooglePrivacyDlpV2DictionaryResponse

CloudStoragePath Pulumi.GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2CloudStoragePathResponse: Newline-delimited file of words in Cloud Storage. Only a single file is accepted.
WordList Pulumi.GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2WordListResponse: List of words or phrases to search for.

CloudStoragePath GooglePrivacyDlpV2CloudStoragePathResponse: Newline-delimited file of words in Cloud Storage. Only a single file is accepted.
WordList GooglePrivacyDlpV2WordListResponse: List of words or phrases to search for.

cloudStoragePath GooglePrivacyDlpV2CloudStoragePathResponse: Newline-delimited file of words in Cloud Storage. Only a single file is accepted.
wordList GooglePrivacyDlpV2WordListResponse: List of words or phrases to search for.

cloudStoragePath GooglePrivacyDlpV2CloudStoragePathResponse: Newline-delimited file of words in Cloud Storage. Only a single file is accepted.
wordList GooglePrivacyDlpV2WordListResponse: List of words or phrases to search for.

cloud_storage_path GooglePrivacyDlpV2CloudStoragePathResponse: Newline-delimited file of words in Cloud Storage. Only a single file is accepted.
word_list GooglePrivacyDlpV2WordListResponse: List of words or phrases to search for.

cloudStoragePath Property Map: Newline-delimited file of words in Cloud Storage. Only a single file is accepted.
wordList Property Map: List of words or phrases to search for.

GooglePrivacyDlpV2EntityIdResponse

Field Pulumi.GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2FieldIdResponse: Composite key indicating which field contains the entity identifier.

Field GooglePrivacyDlpV2FieldIdResponse: Composite key indicating which field contains the entity identifier.

field GooglePrivacyDlpV2FieldIdResponse: Composite key indicating which field contains the entity identifier.

field GooglePrivacyDlpV2FieldIdResponse: Composite key indicating which field contains the entity identifier.

field GooglePrivacyDlpV2FieldIdResponse: Composite key indicating which field contains the entity identifier.

field Property Map: Composite key indicating which field contains the entity identifier.

GooglePrivacyDlpV2ErrorResponse

Details Pulumi.GoogleNative.DLP.V2.Inputs.GoogleRpcStatusResponse: Detailed error codes and messages.
Timestamps List<string>: The times the error occurred. List includes the oldest timestamp and the last 9 timestamps.

Details GoogleRpcStatusResponse: Detailed error codes and messages.
Timestamps []string: The times the error occurred. List includes the oldest timestamp and the last 9 timestamps.

details GoogleRpcStatusResponse: Detailed error codes and messages.
timestamps List<String>: The times the error occurred. List includes the oldest timestamp and the last 9 timestamps.

details GoogleRpcStatusResponse: Detailed error codes and messages.
timestamps string[]: The times the error occurred. List includes the oldest timestamp and the last 9 timestamps.

details GoogleRpcStatusResponse: Detailed error codes and messages.
timestamps Sequence[str]: The times the error occurred. List includes the oldest timestamp and the last 9 timestamps.

details Property Map: Detailed error codes and messages.
timestamps List<String>: The times the error occurred. List includes the oldest timestamp and the last 9 timestamps.

GooglePrivacyDlpV2ExcludeByHotwordResponse

HotwordRegex Pulumi.GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2RegexResponse: Regular expression pattern defining what qualifies as a hotword.
Proximity Pulumi.GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2ProximityResponse: Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The windowBefore property in proximity should be set to 1 if the hotword needs to be included in a column header.

HotwordRegex GooglePrivacyDlpV2RegexResponse: Regular expression pattern defining what qualifies as a hotword.
Proximity GooglePrivacyDlpV2ProximityResponse: Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The windowBefore property in proximity should be set to 1 if the hotword needs to be included in a column header.

hotwordRegex GooglePrivacyDlpV2RegexResponse: Regular expression pattern defining what qualifies as a hotword.
proximity GooglePrivacyDlpV2ProximityResponse: Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The windowBefore property in proximity should be set to 1 if the hotword needs to be included in a column header.

hotwordRegex GooglePrivacyDlpV2RegexResponse: Regular expression pattern defining what qualifies as a hotword.
proximity GooglePrivacyDlpV2ProximityResponse: Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The windowBefore property in proximity should be set to 1 if the hotword needs to be included in a column header.

hotword_regex GooglePrivacyDlpV2RegexResponse: Regular expression pattern defining what qualifies as a hotword.
proximity GooglePrivacyDlpV2ProximityResponse: Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The windowBefore property in proximity should be set to 1 if the hotword needs to be included in a column header.

hotwordRegex Property Map: Regular expression pattern defining what qualifies as a hotword.
proximity Property Map: Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The windowBefore property in proximity should be set to 1 if the hotword needs to be included in a column header.

GooglePrivacyDlpV2ExcludeInfoTypesResponse

InfoTypes List<Pulumi.GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2InfoTypeResponse>: InfoType list in ExclusionRule rule drops a finding when it overlaps or contained within with a finding of an infoType from this list. For example, for InspectionRuleSet.info_types containing "PHONE_NUMBER"andexclusion_rulecontainingexclude_info_types.info_types` with "EMAIL_ADDRESS" the phone number findings are dropped if they overlap with EMAIL_ADDRESS finding. That leads to "555-222-2222@example.org" to generate only a single finding, namely email address.

InfoTypes []GooglePrivacyDlpV2InfoTypeResponse: InfoType list in ExclusionRule rule drops a finding when it overlaps or contained within with a finding of an infoType from this list. For example, for InspectionRuleSet.info_types containing "PHONE_NUMBER"andexclusion_rulecontainingexclude_info_types.info_types` with "EMAIL_ADDRESS" the phone number findings are dropped if they overlap with EMAIL_ADDRESS finding. That leads to "555-222-2222@example.org" to generate only a single finding, namely email address.

infoTypes List<GooglePrivacyDlpV2InfoTypeResponse>: InfoType list in ExclusionRule rule drops a finding when it overlaps or contained within with a finding of an infoType from this list. For example, for InspectionRuleSet.info_types containing "PHONE_NUMBER"andexclusion_rulecontainingexclude_info_types.info_types` with "EMAIL_ADDRESS" the phone number findings are dropped if they overlap with EMAIL_ADDRESS finding. That leads to "555-222-2222@example.org" to generate only a single finding, namely email address.

infoTypes GooglePrivacyDlpV2InfoTypeResponse[]: InfoType list in ExclusionRule rule drops a finding when it overlaps or contained within with a finding of an infoType from this list. For example, for InspectionRuleSet.info_types containing "PHONE_NUMBER"andexclusion_rulecontainingexclude_info_types.info_types` with "EMAIL_ADDRESS" the phone number findings are dropped if they overlap with EMAIL_ADDRESS finding. That leads to "555-222-2222@example.org" to generate only a single finding, namely email address.

info_types Sequence[GooglePrivacyDlpV2InfoTypeResponse]: InfoType list in ExclusionRule rule drops a finding when it overlaps or contained within with a finding of an infoType from this list. For example, for InspectionRuleSet.info_types containing "PHONE_NUMBER"andexclusion_rulecontainingexclude_info_types.info_types` with "EMAIL_ADDRESS" the phone number findings are dropped if they overlap with EMAIL_ADDRESS finding. That leads to "555-222-2222@example.org" to generate only a single finding, namely email address.

infoTypes List<Property Map>: InfoType list in ExclusionRule rule drops a finding when it overlaps or contained within with a finding of an infoType from this list. For example, for InspectionRuleSet.info_types containing "PHONE_NUMBER"andexclusion_rulecontainingexclude_info_types.info_types` with "EMAIL_ADDRESS" the phone number findings are dropped if they overlap with EMAIL_ADDRESS finding. That leads to "555-222-2222@example.org" to generate only a single finding, namely email address.

GooglePrivacyDlpV2ExclusionRuleResponse

Dictionary Pulumi.GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2DictionaryResponse: Dictionary which defines the rule.
ExcludeByHotword Pulumi.GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2ExcludeByHotwordResponse: Drop if the hotword rule is contained in the proximate context. For tabular data, the context includes the column name.
ExcludeInfoTypes Pulumi.GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2ExcludeInfoTypesResponse: Set of infoTypes for which findings would affect this rule.
MatchingType string: How the rule is applied, see MatchingType documentation for details.
Regex Pulumi.GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2RegexResponse: Regular expression which defines the rule.

Dictionary GooglePrivacyDlpV2DictionaryResponse: Dictionary which defines the rule.
ExcludeByHotword GooglePrivacyDlpV2ExcludeByHotwordResponse: Drop if the hotword rule is contained in the proximate context. For tabular data, the context includes the column name.
ExcludeInfoTypes GooglePrivacyDlpV2ExcludeInfoTypesResponse: Set of infoTypes for which findings would affect this rule.
MatchingType string: How the rule is applied, see MatchingType documentation for details.
Regex GooglePrivacyDlpV2RegexResponse: Regular expression which defines the rule.

dictionary GooglePrivacyDlpV2DictionaryResponse: Dictionary which defines the rule.
excludeByHotword GooglePrivacyDlpV2ExcludeByHotwordResponse: Drop if the hotword rule is contained in the proximate context. For tabular data, the context includes the column name.
excludeInfoTypes GooglePrivacyDlpV2ExcludeInfoTypesResponse: Set of infoTypes for which findings would affect this rule.
matchingType String: How the rule is applied, see MatchingType documentation for details.
regex GooglePrivacyDlpV2RegexResponse: Regular expression which defines the rule.

dictionary GooglePrivacyDlpV2DictionaryResponse: Dictionary which defines the rule.
excludeByHotword GooglePrivacyDlpV2ExcludeByHotwordResponse: Drop if the hotword rule is contained in the proximate context. For tabular data, the context includes the column name.
excludeInfoTypes GooglePrivacyDlpV2ExcludeInfoTypesResponse: Set of infoTypes for which findings would affect this rule.
matchingType string: How the rule is applied, see MatchingType documentation for details.
regex GooglePrivacyDlpV2RegexResponse: Regular expression which defines the rule.

dictionary GooglePrivacyDlpV2DictionaryResponse: Dictionary which defines the rule.
exclude_by_hotword GooglePrivacyDlpV2ExcludeByHotwordResponse: Drop if the hotword rule is contained in the proximate context. For tabular data, the context includes the column name.
exclude_info_types GooglePrivacyDlpV2ExcludeInfoTypesResponse: Set of infoTypes for which findings would affect this rule.
matching_type str: How the rule is applied, see MatchingType documentation for details.
regex GooglePrivacyDlpV2RegexResponse: Regular expression which defines the rule.

dictionary Property Map: Dictionary which defines the rule.
excludeByHotword Property Map: Drop if the hotword rule is contained in the proximate context. For tabular data, the context includes the column name.
excludeInfoTypes Property Map: Set of infoTypes for which findings would affect this rule.
matchingType String: How the rule is applied, see MatchingType documentation for details.
regex Property Map: Regular expression which defines the rule.

GooglePrivacyDlpV2ExpressionsResponse

Conditions Pulumi.GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2ConditionsResponse: Conditions to apply to the expression.
LogicalOperator string: The operator to apply to the result of conditions. Default and currently only supported value is AND.

Conditions GooglePrivacyDlpV2ConditionsResponse: Conditions to apply to the expression.
LogicalOperator string: The operator to apply to the result of conditions. Default and currently only supported value is AND.

conditions GooglePrivacyDlpV2ConditionsResponse: Conditions to apply to the expression.
logicalOperator String: The operator to apply to the result of conditions. Default and currently only supported value is AND.

conditions GooglePrivacyDlpV2ConditionsResponse: Conditions to apply to the expression.
logicalOperator string: The operator to apply to the result of conditions. Default and currently only supported value is AND.

conditions GooglePrivacyDlpV2ConditionsResponse: Conditions to apply to the expression.
logical_operator str: The operator to apply to the result of conditions. Default and currently only supported value is AND.

conditions Property Map: Conditions to apply to the expression.
logicalOperator String: The operator to apply to the result of conditions. Default and currently only supported value is AND.

GooglePrivacyDlpV2FieldIdResponse

Name string: Name describing the field.

Name string: Name describing the field.

name String: Name describing the field.

name string: Name describing the field.

name str: Name describing the field.

name String: Name describing the field.

GooglePrivacyDlpV2FieldTransformationResponse

Condition Pulumi.GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2RecordConditionResponse: Only apply the transformation if the condition evaluates to true for the given RecordCondition. The conditions are allowed to reference fields that are not used in the actual transformation. Example Use Cases: - Apply a different bucket transformation to an age column if the zip code column for the same record is within a specific range. - Redact a field if the date of birth field is greater than 85.
Fields List<Pulumi.GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2FieldIdResponse>: Input field(s) to apply the transformation to. When you have columns that reference their position within a list, omit the index from the FieldId. FieldId name matching ignores the index. For example, instead of "contact.nums[0].type", use "contact.nums.type".
InfoTypeTransformations Pulumi.GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2InfoTypeTransformationsResponse: Treat the contents of the field as free text, and selectively transform content that matches an InfoType.
PrimitiveTransformation Pulumi.GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2PrimitiveTransformationResponse: Apply the transformation to the entire field.

Condition GooglePrivacyDlpV2RecordConditionResponse: Only apply the transformation if the condition evaluates to true for the given RecordCondition. The conditions are allowed to reference fields that are not used in the actual transformation. Example Use Cases: - Apply a different bucket transformation to an age column if the zip code column for the same record is within a specific range. - Redact a field if the date of birth field is greater than 85.
Fields []GooglePrivacyDlpV2FieldIdResponse: Input field(s) to apply the transformation to. When you have columns that reference their position within a list, omit the index from the FieldId. FieldId name matching ignores the index. For example, instead of "contact.nums[0].type", use "contact.nums.type".
InfoTypeTransformations GooglePrivacyDlpV2InfoTypeTransformationsResponse: Treat the contents of the field as free text, and selectively transform content that matches an InfoType.
PrimitiveTransformation GooglePrivacyDlpV2PrimitiveTransformationResponse: Apply the transformation to the entire field.

condition GooglePrivacyDlpV2RecordConditionResponse: Only apply the transformation if the condition evaluates to true for the given RecordCondition. The conditions are allowed to reference fields that are not used in the actual transformation. Example Use Cases: - Apply a different bucket transformation to an age column if the zip code column for the same record is within a specific range. - Redact a field if the date of birth field is greater than 85.
fields List<GooglePrivacyDlpV2FieldIdResponse>: Input field(s) to apply the transformation to. When you have columns that reference their position within a list, omit the index from the FieldId. FieldId name matching ignores the index. For example, instead of "contact.nums[0].type", use "contact.nums.type".
infoTypeTransformations GooglePrivacyDlpV2InfoTypeTransformationsResponse: Treat the contents of the field as free text, and selectively transform content that matches an InfoType.
primitiveTransformation GooglePrivacyDlpV2PrimitiveTransformationResponse: Apply the transformation to the entire field.

condition GooglePrivacyDlpV2RecordConditionResponse: Only apply the transformation if the condition evaluates to true for the given RecordCondition. The conditions are allowed to reference fields that are not used in the actual transformation. Example Use Cases: - Apply a different bucket transformation to an age column if the zip code column for the same record is within a specific range. - Redact a field if the date of birth field is greater than 85.
fields GooglePrivacyDlpV2FieldIdResponse[]: Input field(s) to apply the transformation to. When you have columns that reference their position within a list, omit the index from the FieldId. FieldId name matching ignores the index. For example, instead of "contact.nums[0].type", use "contact.nums.type".
infoTypeTransformations GooglePrivacyDlpV2InfoTypeTransformationsResponse: Treat the contents of the field as free text, and selectively transform content that matches an InfoType.
primitiveTransformation GooglePrivacyDlpV2PrimitiveTransformationResponse: Apply the transformation to the entire field.

condition GooglePrivacyDlpV2RecordConditionResponse: Only apply the transformation if the condition evaluates to true for the given RecordCondition. The conditions are allowed to reference fields that are not used in the actual transformation. Example Use Cases: - Apply a different bucket transformation to an age column if the zip code column for the same record is within a specific range. - Redact a field if the date of birth field is greater than 85.
fields Sequence[GooglePrivacyDlpV2FieldIdResponse]: Input field(s) to apply the transformation to. When you have columns that reference their position within a list, omit the index from the FieldId. FieldId name matching ignores the index. For example, instead of "contact.nums[0].type", use "contact.nums.type".
info_type_transformations GooglePrivacyDlpV2InfoTypeTransformationsResponse: Treat the contents of the field as free text, and selectively transform content that matches an InfoType.
primitive_transformation GooglePrivacyDlpV2PrimitiveTransformationResponse: Apply the transformation to the entire field.

condition Property Map: Only apply the transformation if the condition evaluates to true for the given RecordCondition. The conditions are allowed to reference fields that are not used in the actual transformation. Example Use Cases: - Apply a different bucket transformation to an age column if the zip code column for the same record is within a specific range. - Redact a field if the date of birth field is greater than 85.
fields List<Property Map>: Input field(s) to apply the transformation to. When you have columns that reference their position within a list, omit the index from the FieldId. FieldId name matching ignores the index. For example, instead of "contact.nums[0].type", use "contact.nums.type".
infoTypeTransformations Property Map: Treat the contents of the field as free text, and selectively transform content that matches an InfoType.
primitiveTransformation Property Map: Apply the transformation to the entire field.

GooglePrivacyDlpV2FileSetResponse

RegexFileSet Pulumi.GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2CloudStorageRegexFileSetResponse: The regex-filtered set of files to scan. Exactly one of url or regex_file_set must be set.
Url string: The Cloud Storage url of the file(s) to scan, in the format gs:///. Trailing wildcard in the path is allowed. If the url ends in a trailing slash, the bucket or directory represented by the url will be scanned non-recursively (content in sub-directories will not be scanned). This means that gs://mybucket/ is equivalent to gs://mybucket/*, and gs://mybucket/directory/ is equivalent to gs://mybucket/directory/*. Exactly one of url or regex_file_set must be set.

RegexFileSet GooglePrivacyDlpV2CloudStorageRegexFileSetResponse: The regex-filtered set of files to scan. Exactly one of url or regex_file_set must be set.
Url string: The Cloud Storage url of the file(s) to scan, in the format gs:///. Trailing wildcard in the path is allowed. If the url ends in a trailing slash, the bucket or directory represented by the url will be scanned non-recursively (content in sub-directories will not be scanned). This means that gs://mybucket/ is equivalent to gs://mybucket/*, and gs://mybucket/directory/ is equivalent to gs://mybucket/directory/*. Exactly one of url or regex_file_set must be set.

regexFileSet GooglePrivacyDlpV2CloudStorageRegexFileSetResponse: The regex-filtered set of files to scan. Exactly one of url or regex_file_set must be set.
url String: The Cloud Storage url of the file(s) to scan, in the format gs:///. Trailing wildcard in the path is allowed. If the url ends in a trailing slash, the bucket or directory represented by the url will be scanned non-recursively (content in sub-directories will not be scanned). This means that gs://mybucket/ is equivalent to gs://mybucket/*, and gs://mybucket/directory/ is equivalent to gs://mybucket/directory/*. Exactly one of url or regex_file_set must be set.

regexFileSet GooglePrivacyDlpV2CloudStorageRegexFileSetResponse: The regex-filtered set of files to scan. Exactly one of url or regex_file_set must be set.
url string: The Cloud Storage url of the file(s) to scan, in the format gs:///. Trailing wildcard in the path is allowed. If the url ends in a trailing slash, the bucket or directory represented by the url will be scanned non-recursively (content in sub-directories will not be scanned). This means that gs://mybucket/ is equivalent to gs://mybucket/*, and gs://mybucket/directory/ is equivalent to gs://mybucket/directory/*. Exactly one of url or regex_file_set must be set.

regex_file_set GooglePrivacyDlpV2CloudStorageRegexFileSetResponse: The regex-filtered set of files to scan. Exactly one of url or regex_file_set must be set.
url str: The Cloud Storage url of the file(s) to scan, in the format gs:///. Trailing wildcard in the path is allowed. If the url ends in a trailing slash, the bucket or directory represented by the url will be scanned non-recursively (content in sub-directories will not be scanned). This means that gs://mybucket/ is equivalent to gs://mybucket/*, and gs://mybucket/directory/ is equivalent to gs://mybucket/directory/*. Exactly one of url or regex_file_set must be set.

regexFileSet Property Map: The regex-filtered set of files to scan. Exactly one of url or regex_file_set must be set.
url String: The Cloud Storage url of the file(s) to scan, in the format gs:///. Trailing wildcard in the path is allowed. If the url ends in a trailing slash, the bucket or directory represented by the url will be scanned non-recursively (content in sub-directories will not be scanned). This means that gs://mybucket/ is equivalent to gs://mybucket/*, and gs://mybucket/directory/ is equivalent to gs://mybucket/directory/*. Exactly one of url or regex_file_set must be set.

GooglePrivacyDlpV2FindingLimitsResponse

MaxFindingsPerInfoType List<Pulumi.GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2InfoTypeLimitResponse>: Configuration of findings limit given for specified infoTypes.
MaxFindingsPerItem int: Max number of findings that are returned for each item scanned. When set within an InspectContentRequest, this field is ignored. This value isn't a hard limit. If the number of findings for an item reaches this limit, the inspection of that item ends gradually, not abruptly. Therefore, the actual number of findings that Cloud DLP returns for the item can be multiple times higher than this value.
MaxFindingsPerRequest int: Max number of findings that are returned per request or job. If you set this field in an InspectContentRequest, the resulting maximum value is the value that you set or 3,000, whichever is lower. This value isn't a hard limit. If an inspection reaches this limit, the inspection ends gradually, not abruptly. Therefore, the actual number of findings that Cloud DLP returns can be multiple times higher than this value.

MaxFindingsPerInfoType []GooglePrivacyDlpV2InfoTypeLimitResponse: Configuration of findings limit given for specified infoTypes.
MaxFindingsPerItem int: Max number of findings that are returned for each item scanned. When set within an InspectContentRequest, this field is ignored. This value isn't a hard limit. If the number of findings for an item reaches this limit, the inspection of that item ends gradually, not abruptly. Therefore, the actual number of findings that Cloud DLP returns for the item can be multiple times higher than this value.
MaxFindingsPerRequest int: Max number of findings that are returned per request or job. If you set this field in an InspectContentRequest, the resulting maximum value is the value that you set or 3,000, whichever is lower. This value isn't a hard limit. If an inspection reaches this limit, the inspection ends gradually, not abruptly. Therefore, the actual number of findings that Cloud DLP returns can be multiple times higher than this value.

maxFindingsPerInfoType List<GooglePrivacyDlpV2InfoTypeLimitResponse>: Configuration of findings limit given for specified infoTypes.
maxFindingsPerItem Integer: Max number of findings that are returned for each item scanned. When set within an InspectContentRequest, this field is ignored. This value isn't a hard limit. If the number of findings for an item reaches this limit, the inspection of that item ends gradually, not abruptly. Therefore, the actual number of findings that Cloud DLP returns for the item can be multiple times higher than this value.
maxFindingsPerRequest Integer: Max number of findings that are returned per request or job. If you set this field in an InspectContentRequest, the resulting maximum value is the value that you set or 3,000, whichever is lower. This value isn't a hard limit. If an inspection reaches this limit, the inspection ends gradually, not abruptly. Therefore, the actual number of findings that Cloud DLP returns can be multiple times higher than this value.

maxFindingsPerInfoType GooglePrivacyDlpV2InfoTypeLimitResponse[]: Configuration of findings limit given for specified infoTypes.
maxFindingsPerItem number: Max number of findings that are returned for each item scanned. When set within an InspectContentRequest, this field is ignored. This value isn't a hard limit. If the number of findings for an item reaches this limit, the inspection of that item ends gradually, not abruptly. Therefore, the actual number of findings that Cloud DLP returns for the item can be multiple times higher than this value.
maxFindingsPerRequest number: Max number of findings that are returned per request or job. If you set this field in an InspectContentRequest, the resulting maximum value is the value that you set or 3,000, whichever is lower. This value isn't a hard limit. If an inspection reaches this limit, the inspection ends gradually, not abruptly. Therefore, the actual number of findings that Cloud DLP returns can be multiple times higher than this value.

max_findings_per_info_type Sequence[GooglePrivacyDlpV2InfoTypeLimitResponse]: Configuration of findings limit given for specified infoTypes.
max_findings_per_item int: Max number of findings that are returned for each item scanned. When set within an InspectContentRequest, this field is ignored. This value isn't a hard limit. If the number of findings for an item reaches this limit, the inspection of that item ends gradually, not abruptly. Therefore, the actual number of findings that Cloud DLP returns for the item can be multiple times higher than this value.
max_findings_per_request int: Max number of findings that are returned per request or job. If you set this field in an InspectContentRequest, the resulting maximum value is the value that you set or 3,000, whichever is lower. This value isn't a hard limit. If an inspection reaches this limit, the inspection ends gradually, not abruptly. Therefore, the actual number of findings that Cloud DLP returns can be multiple times higher than this value.

maxFindingsPerInfoType List<Property Map>: Configuration of findings limit given for specified infoTypes.
maxFindingsPerItem Number: Max number of findings that are returned for each item scanned. When set within an InspectContentRequest, this field is ignored. This value isn't a hard limit. If the number of findings for an item reaches this limit, the inspection of that item ends gradually, not abruptly. Therefore, the actual number of findings that Cloud DLP returns for the item can be multiple times higher than this value.
maxFindingsPerRequest Number: Max number of findings that are returned per request or job. If you set this field in an InspectContentRequest, the resulting maximum value is the value that you set or 3,000, whichever is lower. This value isn't a hard limit. If an inspection reaches this limit, the inspection ends gradually, not abruptly. Therefore, the actual number of findings that Cloud DLP returns can be multiple times higher than this value.

GooglePrivacyDlpV2FixedSizeBucketingConfigResponse

BucketSize double: Size of each bucket (except for minimum and maximum buckets). So if lower_bound = 10, upper_bound = 89, and bucket_size = 10, then the following buckets would be used: -10, 10-20, 20-30, 30-40, 40-50, 50-60, 60-70, 70-80, 80-89, 89+. Precision up to 2 decimals works.
LowerBound Pulumi.GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2ValueResponse: Lower bound value of buckets. All values less than lower_bound are grouped together into a single bucket; for example if lower_bound = 10, then all values less than 10 are replaced with the value "-10".
UpperBound Pulumi.GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2ValueResponse: Upper bound value of buckets. All values greater than upper_bound are grouped together into a single bucket; for example if upper_bound = 89, then all values greater than 89 are replaced with the value "89+".

BucketSize float64: Size of each bucket (except for minimum and maximum buckets). So if lower_bound = 10, upper_bound = 89, and bucket_size = 10, then the following buckets would be used: -10, 10-20, 20-30, 30-40, 40-50, 50-60, 60-70, 70-80, 80-89, 89+. Precision up to 2 decimals works.
LowerBound GooglePrivacyDlpV2ValueResponse: Lower bound value of buckets. All values less than lower_bound are grouped together into a single bucket; for example if lower_bound = 10, then all values less than 10 are replaced with the value "-10".
UpperBound GooglePrivacyDlpV2ValueResponse: Upper bound value of buckets. All values greater than upper_bound are grouped together into a single bucket; for example if upper_bound = 89, then all values greater than 89 are replaced with the value "89+".

bucketSize Double: Size of each bucket (except for minimum and maximum buckets). So if lower_bound = 10, upper_bound = 89, and bucket_size = 10, then the following buckets would be used: -10, 10-20, 20-30, 30-40, 40-50, 50-60, 60-70, 70-80, 80-89, 89+. Precision up to 2 decimals works.
lowerBound GooglePrivacyDlpV2ValueResponse: Lower bound value of buckets. All values less than lower_bound are grouped together into a single bucket; for example if lower_bound = 10, then all values less than 10 are replaced with the value "-10".
upperBound GooglePrivacyDlpV2ValueResponse: Upper bound value of buckets. All values greater than upper_bound are grouped together into a single bucket; for example if upper_bound = 89, then all values greater than 89 are replaced with the value "89+".

bucketSize number: Size of each bucket (except for minimum and maximum buckets). So if lower_bound = 10, upper_bound = 89, and bucket_size = 10, then the following buckets would be used: -10, 10-20, 20-30, 30-40, 40-50, 50-60, 60-70, 70-80, 80-89, 89+. Precision up to 2 decimals works.
lowerBound GooglePrivacyDlpV2ValueResponse: Lower bound value of buckets. All values less than lower_bound are grouped together into a single bucket; for example if lower_bound = 10, then all values less than 10 are replaced with the value "-10".
upperBound GooglePrivacyDlpV2ValueResponse: Upper bound value of buckets. All values greater than upper_bound are grouped together into a single bucket; for example if upper_bound = 89, then all values greater than 89 are replaced with the value "89+".

bucket_size float: Size of each bucket (except for minimum and maximum buckets). So if lower_bound = 10, upper_bound = 89, and bucket_size = 10, then the following buckets would be used: -10, 10-20, 20-30, 30-40, 40-50, 50-60, 60-70, 70-80, 80-89, 89+. Precision up to 2 decimals works.
lower_bound GooglePrivacyDlpV2ValueResponse: Lower bound value of buckets. All values less than lower_bound are grouped together into a single bucket; for example if lower_bound = 10, then all values less than 10 are replaced with the value "-10".
upper_bound GooglePrivacyDlpV2ValueResponse: Upper bound value of buckets. All values greater than upper_bound are grouped together into a single bucket; for example if upper_bound = 89, then all values greater than 89 are replaced with the value "89+".

bucketSize Number: Size of each bucket (except for minimum and maximum buckets). So if lower_bound = 10, upper_bound = 89, and bucket_size = 10, then the following buckets would be used: -10, 10-20, 20-30, 30-40, 40-50, 50-60, 60-70, 70-80, 80-89, 89+. Precision up to 2 decimals works.
lowerBound Property Map: Lower bound value of buckets. All values less than lower_bound are grouped together into a single bucket; for example if lower_bound = 10, then all values less than 10 are replaced with the value "-10".
upperBound Property Map: Upper bound value of buckets. All values greater than upper_bound are grouped together into a single bucket; for example if upper_bound = 89, then all values greater than 89 are replaced with the value "89+".

GooglePrivacyDlpV2HotwordRuleResponse

HotwordRegex Pulumi.GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2RegexResponse: Regular expression pattern defining what qualifies as a hotword.
LikelihoodAdjustment Pulumi.GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2LikelihoodAdjustmentResponse: Likelihood adjustment to apply to all matching findings.
Proximity Pulumi.GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2ProximityResponse: Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The finding itself will be included in the window, so that hotwords can be used to match substrings of the finding itself. Suppose you want Cloud DLP to promote the likelihood of the phone number regex "(\d{3}) \d{3}-\d{4}" if the area code is known to be the area code of a company's office. In this case, use the hotword regex "(xxx)", where "xxx" is the area code in question. For tabular data, if you want to modify the likelihood of an entire column of findngs, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values).

HotwordRegex GooglePrivacyDlpV2RegexResponse: Regular expression pattern defining what qualifies as a hotword.
LikelihoodAdjustment GooglePrivacyDlpV2LikelihoodAdjustmentResponse: Likelihood adjustment to apply to all matching findings.
Proximity GooglePrivacyDlpV2ProximityResponse: Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The finding itself will be included in the window, so that hotwords can be used to match substrings of the finding itself. Suppose you want Cloud DLP to promote the likelihood of the phone number regex "(\d{3}) \d{3}-\d{4}" if the area code is known to be the area code of a company's office. In this case, use the hotword regex "(xxx)", where "xxx" is the area code in question. For tabular data, if you want to modify the likelihood of an entire column of findngs, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values).

hotwordRegex GooglePrivacyDlpV2RegexResponse: Regular expression pattern defining what qualifies as a hotword.
likelihoodAdjustment GooglePrivacyDlpV2LikelihoodAdjustmentResponse: Likelihood adjustment to apply to all matching findings.
proximity GooglePrivacyDlpV2ProximityResponse: Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The finding itself will be included in the window, so that hotwords can be used to match substrings of the finding itself. Suppose you want Cloud DLP to promote the likelihood of the phone number regex "(\d{3}) \d{3}-\d{4}" if the area code is known to be the area code of a company's office. In this case, use the hotword regex "(xxx)", where "xxx" is the area code in question. For tabular data, if you want to modify the likelihood of an entire column of findngs, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values).

hotwordRegex GooglePrivacyDlpV2RegexResponse: Regular expression pattern defining what qualifies as a hotword.
likelihoodAdjustment GooglePrivacyDlpV2LikelihoodAdjustmentResponse: Likelihood adjustment to apply to all matching findings.
proximity GooglePrivacyDlpV2ProximityResponse: Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The finding itself will be included in the window, so that hotwords can be used to match substrings of the finding itself. Suppose you want Cloud DLP to promote the likelihood of the phone number regex "(\d{3}) \d{3}-\d{4}" if the area code is known to be the area code of a company's office. In this case, use the hotword regex "(xxx)", where "xxx" is the area code in question. For tabular data, if you want to modify the likelihood of an entire column of findngs, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values).

hotword_regex GooglePrivacyDlpV2RegexResponse: Regular expression pattern defining what qualifies as a hotword.
likelihood_adjustment GooglePrivacyDlpV2LikelihoodAdjustmentResponse: Likelihood adjustment to apply to all matching findings.
proximity GooglePrivacyDlpV2ProximityResponse: Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The finding itself will be included in the window, so that hotwords can be used to match substrings of the finding itself. Suppose you want Cloud DLP to promote the likelihood of the phone number regex "(\d{3}) \d{3}-\d{4}" if the area code is known to be the area code of a company's office. In this case, use the hotword regex "(xxx)", where "xxx" is the area code in question. For tabular data, if you want to modify the likelihood of an entire column of findngs, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values).

hotwordRegex Property Map: Regular expression pattern defining what qualifies as a hotword.
likelihoodAdjustment Property Map: Likelihood adjustment to apply to all matching findings.
proximity Property Map: Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The finding itself will be included in the window, so that hotwords can be used to match substrings of the finding itself. Suppose you want Cloud DLP to promote the likelihood of the phone number regex "(\d{3}) \d{3}-\d{4}" if the area code is known to be the area code of a company's office. In this case, use the hotword regex "(xxx)", where "xxx" is the area code in question. For tabular data, if you want to modify the likelihood of an entire column of findngs, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values).

GooglePrivacyDlpV2HybridInspectStatisticsResponse

AbortedCount string: The number of hybrid inspection requests aborted because the job ran out of quota or was ended before they could be processed.
PendingCount string: The number of hybrid requests currently being processed. Only populated when called via method getDlpJob. A burst of traffic may cause hybrid inspect requests to be enqueued. Processing will take place as quickly as possible, but resource limitations may impact how long a request is enqueued for.
ProcessedCount string: The number of hybrid inspection requests processed within this job.

AbortedCount string: The number of hybrid inspection requests aborted because the job ran out of quota or was ended before they could be processed.
PendingCount string: The number of hybrid requests currently being processed. Only populated when called via method getDlpJob. A burst of traffic may cause hybrid inspect requests to be enqueued. Processing will take place as quickly as possible, but resource limitations may impact how long a request is enqueued for.
ProcessedCount string: The number of hybrid inspection requests processed within this job.

abortedCount String: The number of hybrid inspection requests aborted because the job ran out of quota or was ended before they could be processed.
pendingCount String: The number of hybrid requests currently being processed. Only populated when called via method getDlpJob. A burst of traffic may cause hybrid inspect requests to be enqueued. Processing will take place as quickly as possible, but resource limitations may impact how long a request is enqueued for.
processedCount String: The number of hybrid inspection requests processed within this job.

abortedCount string: The number of hybrid inspection requests aborted because the job ran out of quota or was ended before they could be processed.
pendingCount string: The number of hybrid requests currently being processed. Only populated when called via method getDlpJob. A burst of traffic may cause hybrid inspect requests to be enqueued. Processing will take place as quickly as possible, but resource limitations may impact how long a request is enqueued for.
processedCount string: The number of hybrid inspection requests processed within this job.

aborted_count str: The number of hybrid inspection requests aborted because the job ran out of quota or was ended before they could be processed.
pending_count str: The number of hybrid requests currently being processed. Only populated when called via method getDlpJob. A burst of traffic may cause hybrid inspect requests to be enqueued. Processing will take place as quickly as possible, but resource limitations may impact how long a request is enqueued for.
processed_count str: The number of hybrid inspection requests processed within this job.

abortedCount String: The number of hybrid inspection requests aborted because the job ran out of quota or was ended before they could be processed.
pendingCount String: The number of hybrid requests currently being processed. Only populated when called via method getDlpJob. A burst of traffic may cause hybrid inspect requests to be enqueued. Processing will take place as quickly as possible, but resource limitations may impact how long a request is enqueued for.
processedCount String: The number of hybrid inspection requests processed within this job.

GooglePrivacyDlpV2HybridOptionsResponse

Description string: A short description of where the data is coming from. Will be stored once in the job. 256 max length.
Labels Dictionary<string, string>: To organize findings, these labels will be added to each finding. Label keys must be between 1 and 63 characters long and must conform to the following regular expression: [a-z]([-a-z0-9]*[a-z0-9])?. Label values must be between 0 and 63 characters long and must conform to the regular expression ([a-z]([-a-z0-9]*[a-z0-9])?)?. No more than 10 labels can be associated with a given finding. Examples: * "environment" : "production" * "pipeline" : "etl"
RequiredFindingLabelKeys List<string>: These are labels that each inspection request must include within their 'finding_labels' map. Request may contain others, but any missing one of these will be rejected. Label keys must be between 1 and 63 characters long and must conform to the following regular expression: [a-z]([-a-z0-9]*[a-z0-9])?. No more than 10 keys can be required.
TableOptions Pulumi.GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2TableOptionsResponse: If the container is a table, additional information to make findings meaningful such as the columns that are primary keys.

Description string: A short description of where the data is coming from. Will be stored once in the job. 256 max length.
Labels map[string]string: To organize findings, these labels will be added to each finding. Label keys must be between 1 and 63 characters long and must conform to the following regular expression: [a-z]([-a-z0-9]*[a-z0-9])?. Label values must be between 0 and 63 characters long and must conform to the regular expression ([a-z]([-a-z0-9]*[a-z0-9])?)?. No more than 10 labels can be associated with a given finding. Examples: * "environment" : "production" * "pipeline" : "etl"
RequiredFindingLabelKeys []string: These are labels that each inspection request must include within their 'finding_labels' map. Request may contain others, but any missing one of these will be rejected. Label keys must be between 1 and 63 characters long and must conform to the following regular expression: [a-z]([-a-z0-9]*[a-z0-9])?. No more than 10 keys can be required.
TableOptions GooglePrivacyDlpV2TableOptionsResponse: If the container is a table, additional information to make findings meaningful such as the columns that are primary keys.

description String: A short description of where the data is coming from. Will be stored once in the job. 256 max length.
labels Map<String,String>: To organize findings, these labels will be added to each finding. Label keys must be between 1 and 63 characters long and must conform to the following regular expression: [a-z]([-a-z0-9]*[a-z0-9])?. Label values must be between 0 and 63 characters long and must conform to the regular expression ([a-z]([-a-z0-9]*[a-z0-9])?)?. No more than 10 labels can be associated with a given finding. Examples: * "environment" : "production" * "pipeline" : "etl"
requiredFindingLabelKeys List<String>: These are labels that each inspection request must include within their 'finding_labels' map. Request may contain others, but any missing one of these will be rejected. Label keys must be between 1 and 63 characters long and must conform to the following regular expression: [a-z]([-a-z0-9]*[a-z0-9])?. No more than 10 keys can be required.
tableOptions GooglePrivacyDlpV2TableOptionsResponse: If the container is a table, additional information to make findings meaningful such as the columns that are primary keys.

description string: A short description of where the data is coming from. Will be stored once in the job. 256 max length.
labels {[key: string]: string}: To organize findings, these labels will be added to each finding. Label keys must be between 1 and 63 characters long and must conform to the following regular expression: [a-z]([-a-z0-9]*[a-z0-9])?. Label values must be between 0 and 63 characters long and must conform to the regular expression ([a-z]([-a-z0-9]*[a-z0-9])?)?. No more than 10 labels can be associated with a given finding. Examples: * "environment" : "production" * "pipeline" : "etl"
requiredFindingLabelKeys string[]: These are labels that each inspection request must include within their 'finding_labels' map. Request may contain others, but any missing one of these will be rejected. Label keys must be between 1 and 63 characters long and must conform to the following regular expression: [a-z]([-a-z0-9]*[a-z0-9])?. No more than 10 keys can be required.
tableOptions GooglePrivacyDlpV2TableOptionsResponse: If the container is a table, additional information to make findings meaningful such as the columns that are primary keys.

description str: A short description of where the data is coming from. Will be stored once in the job. 256 max length.
labels Mapping[str, str]: To organize findings, these labels will be added to each finding. Label keys must be between 1 and 63 characters long and must conform to the following regular expression: [a-z]([-a-z0-9]*[a-z0-9])?. Label values must be between 0 and 63 characters long and must conform to the regular expression ([a-z]([-a-z0-9]*[a-z0-9])?)?. No more than 10 labels can be associated with a given finding. Examples: * "environment" : "production" * "pipeline" : "etl"
required_finding_label_keys Sequence[str]: These are labels that each inspection request must include within their 'finding_labels' map. Request may contain others, but any missing one of these will be rejected. Label keys must be between 1 and 63 characters long and must conform to the following regular expression: [a-z]([-a-z0-9]*[a-z0-9])?. No more than 10 keys can be required.
table_options GooglePrivacyDlpV2TableOptionsResponse: If the container is a table, additional information to make findings meaningful such as the columns that are primary keys.

description String: A short description of where the data is coming from. Will be stored once in the job. 256 max length.
labels Map<String>: To organize findings, these labels will be added to each finding. Label keys must be between 1 and 63 characters long and must conform to the following regular expression: [a-z]([-a-z0-9]*[a-z0-9])?. Label values must be between 0 and 63 characters long and must conform to the regular expression ([a-z]([-a-z0-9]*[a-z0-9])?)?. No more than 10 labels can be associated with a given finding. Examples: * "environment" : "production" * "pipeline" : "etl"
requiredFindingLabelKeys List<String>: These are labels that each inspection request must include within their 'finding_labels' map. Request may contain others, but any missing one of these will be rejected. Label keys must be between 1 and 63 characters long and must conform to the following regular expression: [a-z]([-a-z0-9]*[a-z0-9])?. No more than 10 keys can be required.
tableOptions Property Map: If the container is a table, additional information to make findings meaningful such as the columns that are primary keys.

GooglePrivacyDlpV2ImageTransformationResponse

AllInfoTypes Pulumi.GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2AllInfoTypesResponse: Apply transformation to all findings not specified in other ImageTransformation's selected_info_types. Only one instance is allowed within the ImageTransformations message.
AllText Pulumi.GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2AllTextResponse: Apply transformation to all text that doesn't match an infoType. Only one instance is allowed within the ImageTransformations message.
RedactionColor Pulumi.GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2ColorResponse: The color to use when redacting content from an image. If not specified, the default is black.
SelectedInfoTypes Pulumi.GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2SelectedInfoTypesResponse: Apply transformation to the selected info_types.

AllInfoTypes GooglePrivacyDlpV2AllInfoTypesResponse: Apply transformation to all findings not specified in other ImageTransformation's selected_info_types. Only one instance is allowed within the ImageTransformations message.
AllText GooglePrivacyDlpV2AllTextResponse: Apply transformation to all text that doesn't match an infoType. Only one instance is allowed within the ImageTransformations message.
RedactionColor GooglePrivacyDlpV2ColorResponse: The color to use when redacting content from an image. If not specified, the default is black.
SelectedInfoTypes GooglePrivacyDlpV2SelectedInfoTypesResponse: Apply transformation to the selected info_types.

allInfoTypes GooglePrivacyDlpV2AllInfoTypesResponse: Apply transformation to all findings not specified in other ImageTransformation's selected_info_types. Only one instance is allowed within the ImageTransformations message.
allText GooglePrivacyDlpV2AllTextResponse: Apply transformation to all text that doesn't match an infoType. Only one instance is allowed within the ImageTransformations message.
redactionColor GooglePrivacyDlpV2ColorResponse: The color to use when redacting content from an image. If not specified, the default is black.
selectedInfoTypes GooglePrivacyDlpV2SelectedInfoTypesResponse: Apply transformation to the selected info_types.

allInfoTypes GooglePrivacyDlpV2AllInfoTypesResponse: Apply transformation to all findings not specified in other ImageTransformation's selected_info_types. Only one instance is allowed within the ImageTransformations message.
allText GooglePrivacyDlpV2AllTextResponse: Apply transformation to all text that doesn't match an infoType. Only one instance is allowed within the ImageTransformations message.
redactionColor GooglePrivacyDlpV2ColorResponse: The color to use when redacting content from an image. If not specified, the default is black.
selectedInfoTypes GooglePrivacyDlpV2SelectedInfoTypesResponse: Apply transformation to the selected info_types.

all_info_types GooglePrivacyDlpV2AllInfoTypesResponse: Apply transformation to all findings not specified in other ImageTransformation's selected_info_types. Only one instance is allowed within the ImageTransformations message.
all_text GooglePrivacyDlpV2AllTextResponse: Apply transformation to all text that doesn't match an infoType. Only one instance is allowed within the ImageTransformations message.
redaction_color GooglePrivacyDlpV2ColorResponse: The color to use when redacting content from an image. If not specified, the default is black.
selected_info_types GooglePrivacyDlpV2SelectedInfoTypesResponse: Apply transformation to the selected info_types.

allInfoTypes Property Map: Apply transformation to all findings not specified in other ImageTransformation's selected_info_types. Only one instance is allowed within the ImageTransformations message.
allText Property Map: Apply transformation to all text that doesn't match an infoType. Only one instance is allowed within the ImageTransformations message.
redactionColor Property Map: The color to use when redacting content from an image. If not specified, the default is black.
selectedInfoTypes Property Map: Apply transformation to the selected info_types.

GooglePrivacyDlpV2ImageTransformationsResponse

Transforms List<Pulumi.GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2ImageTransformationResponse>

Transforms []GooglePrivacyDlpV2ImageTransformationResponse

transforms List<GooglePrivacyDlpV2ImageTransformationResponse>

transforms GooglePrivacyDlpV2ImageTransformationResponse[]

transforms Sequence[GooglePrivacyDlpV2ImageTransformationResponse]

transforms List<Property Map>

GooglePrivacyDlpV2InfoTypeLikelihoodResponse

InfoType Pulumi.GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2InfoTypeResponse: Type of information the likelihood threshold applies to. Only one likelihood per info_type should be provided. If InfoTypeLikelihood does not have an info_type, the configuration fails.
MinLikelihood string: Only returns findings equal to or above this threshold. This field is required or else the configuration fails.

InfoType GooglePrivacyDlpV2InfoTypeResponse: Type of information the likelihood threshold applies to. Only one likelihood per info_type should be provided. If InfoTypeLikelihood does not have an info_type, the configuration fails.
MinLikelihood string: Only returns findings equal to or above this threshold. This field is required or else the configuration fails.

infoType GooglePrivacyDlpV2InfoTypeResponse: Type of information the likelihood threshold applies to. Only one likelihood per info_type should be provided. If InfoTypeLikelihood does not have an info_type, the configuration fails.
minLikelihood String: Only returns findings equal to or above this threshold. This field is required or else the configuration fails.

infoType GooglePrivacyDlpV2InfoTypeResponse: Type of information the likelihood threshold applies to. Only one likelihood per info_type should be provided. If InfoTypeLikelihood does not have an info_type, the configuration fails.
minLikelihood string: Only returns findings equal to or above this threshold. This field is required or else the configuration fails.

info_type GooglePrivacyDlpV2InfoTypeResponse: Type of information the likelihood threshold applies to. Only one likelihood per info_type should be provided. If InfoTypeLikelihood does not have an info_type, the configuration fails.
min_likelihood str: Only returns findings equal to or above this threshold. This field is required or else the configuration fails.

infoType Property Map: Type of information the likelihood threshold applies to. Only one likelihood per info_type should be provided. If InfoTypeLikelihood does not have an info_type, the configuration fails.
minLikelihood String: Only returns findings equal to or above this threshold. This field is required or else the configuration fails.

GooglePrivacyDlpV2InfoTypeLimitResponse

InfoType Pulumi.GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2InfoTypeResponse: Type of information the findings limit applies to. Only one limit per info_type should be provided. If InfoTypeLimit does not have an info_type, the DLP API applies the limit against all info_types that are found but not specified in another InfoTypeLimit.
MaxFindings int: Max findings limit for the given infoType.

InfoType GooglePrivacyDlpV2InfoTypeResponse: Type of information the findings limit applies to. Only one limit per info_type should be provided. If InfoTypeLimit does not have an info_type, the DLP API applies the limit against all info_types that are found but not specified in another InfoTypeLimit.
MaxFindings int: Max findings limit for the given infoType.

infoType GooglePrivacyDlpV2InfoTypeResponse: Type of information the findings limit applies to. Only one limit per info_type should be provided. If InfoTypeLimit does not have an info_type, the DLP API applies the limit against all info_types that are found but not specified in another InfoTypeLimit.
maxFindings Integer: Max findings limit for the given infoType.

infoType GooglePrivacyDlpV2InfoTypeResponse: Type of information the findings limit applies to. Only one limit per info_type should be provided. If InfoTypeLimit does not have an info_type, the DLP API applies the limit against all info_types that are found but not specified in another InfoTypeLimit.
maxFindings number: Max findings limit for the given infoType.

info_type GooglePrivacyDlpV2InfoTypeResponse: Type of information the findings limit applies to. Only one limit per info_type should be provided. If InfoTypeLimit does not have an info_type, the DLP API applies the limit against all info_types that are found but not specified in another InfoTypeLimit.
max_findings int: Max findings limit for the given infoType.

infoType Property Map: Type of information the findings limit applies to. Only one limit per info_type should be provided. If InfoTypeLimit does not have an info_type, the DLP API applies the limit against all info_types that are found but not specified in another InfoTypeLimit.
maxFindings Number: Max findings limit for the given infoType.

GooglePrivacyDlpV2InfoTypeResponse

Name string: Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern [A-Za-z0-9$_-]{1,64}.
SensitivityScore Pulumi.GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2SensitivityScoreResponse: Optional custom sensitivity for this InfoType. This only applies to data profiling.
Version string: Optional version name for this InfoType.

Name string: Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern [A-Za-z0-9$_-]{1,64}.
SensitivityScore GooglePrivacyDlpV2SensitivityScoreResponse: Optional custom sensitivity for this InfoType. This only applies to data profiling.
Version string: Optional version name for this InfoType.

name String: Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern [A-Za-z0-9$_-]{1,64}.
sensitivityScore GooglePrivacyDlpV2SensitivityScoreResponse: Optional custom sensitivity for this InfoType. This only applies to data profiling.
version String: Optional version name for this InfoType.

name string: Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern [A-Za-z0-9$_-]{1,64}.
sensitivityScore GooglePrivacyDlpV2SensitivityScoreResponse: Optional custom sensitivity for this InfoType. This only applies to data profiling.
version string: Optional version name for this InfoType.

name str: Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern [A-Za-z0-9$_-]{1,64}.
sensitivity_score GooglePrivacyDlpV2SensitivityScoreResponse: Optional custom sensitivity for this InfoType. This only applies to data profiling.
version str: Optional version name for this InfoType.

name String: Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern [A-Za-z0-9$_-]{1,64}.
sensitivityScore Property Map: Optional custom sensitivity for this InfoType. This only applies to data profiling.
version String: Optional version name for this InfoType.

GooglePrivacyDlpV2InfoTypeStatsResponse

Count string: Number of findings for this infoType.
InfoType Pulumi.GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2InfoTypeResponse: The type of finding this stat is for.

Count string: Number of findings for this infoType.
InfoType GooglePrivacyDlpV2InfoTypeResponse: The type of finding this stat is for.

count String: Number of findings for this infoType.
infoType GooglePrivacyDlpV2InfoTypeResponse: The type of finding this stat is for.

count string: Number of findings for this infoType.
infoType GooglePrivacyDlpV2InfoTypeResponse: The type of finding this stat is for.

count str: Number of findings for this infoType.
info_type GooglePrivacyDlpV2InfoTypeResponse: The type of finding this stat is for.

count String: Number of findings for this infoType.
infoType Property Map: The type of finding this stat is for.

GooglePrivacyDlpV2InfoTypeTransformationResponse

InfoTypes List<Pulumi.GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2InfoTypeResponse>: InfoTypes to apply the transformation to. An empty list will cause this transformation to apply to all findings that correspond to infoTypes that were requested in InspectConfig.
PrimitiveTransformation Pulumi.GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2PrimitiveTransformationResponse: Primitive transformation to apply to the infoType.

InfoTypes []GooglePrivacyDlpV2InfoTypeResponse: InfoTypes to apply the transformation to. An empty list will cause this transformation to apply to all findings that correspond to infoTypes that were requested in InspectConfig.
PrimitiveTransformation GooglePrivacyDlpV2PrimitiveTransformationResponse: Primitive transformation to apply to the infoType.

infoTypes List<GooglePrivacyDlpV2InfoTypeResponse>: InfoTypes to apply the transformation to. An empty list will cause this transformation to apply to all findings that correspond to infoTypes that were requested in InspectConfig.
primitiveTransformation GooglePrivacyDlpV2PrimitiveTransformationResponse: Primitive transformation to apply to the infoType.

infoTypes GooglePrivacyDlpV2InfoTypeResponse[]: InfoTypes to apply the transformation to. An empty list will cause this transformation to apply to all findings that correspond to infoTypes that were requested in InspectConfig.
primitiveTransformation GooglePrivacyDlpV2PrimitiveTransformationResponse: Primitive transformation to apply to the infoType.

info_types Sequence[GooglePrivacyDlpV2InfoTypeResponse]: InfoTypes to apply the transformation to. An empty list will cause this transformation to apply to all findings that correspond to infoTypes that were requested in InspectConfig.
primitive_transformation GooglePrivacyDlpV2PrimitiveTransformationResponse: Primitive transformation to apply to the infoType.

infoTypes List<Property Map>: InfoTypes to apply the transformation to. An empty list will cause this transformation to apply to all findings that correspond to infoTypes that were requested in InspectConfig.
primitiveTransformation Property Map: Primitive transformation to apply to the infoType.

GooglePrivacyDlpV2InfoTypeTransformationsResponse

Transformations List<Pulumi.GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2InfoTypeTransformationResponse>: Transformation for each infoType. Cannot specify more than one for a given infoType.

Transformations []GooglePrivacyDlpV2InfoTypeTransformationResponse: Transformation for each infoType. Cannot specify more than one for a given infoType.

transformations List<GooglePrivacyDlpV2InfoTypeTransformationResponse>: Transformation for each infoType. Cannot specify more than one for a given infoType.

transformations GooglePrivacyDlpV2InfoTypeTransformationResponse[]: Transformation for each infoType. Cannot specify more than one for a given infoType.

transformations Sequence[GooglePrivacyDlpV2InfoTypeTransformationResponse]: Transformation for each infoType. Cannot specify more than one for a given infoType.

transformations List<Property Map>: Transformation for each infoType. Cannot specify more than one for a given infoType.

GooglePrivacyDlpV2InspectConfigResponse

ContentOptions List<string>: Deprecated and unused.
Deprecated: Deprecated and unused.
CustomInfoTypes List<Pulumi.GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2CustomInfoTypeResponse>: CustomInfoTypes provided by the user. See https://cloud.google.com/dlp/docs/creating-custom-infotypes to learn more.
ExcludeInfoTypes bool: When true, excludes type information of the findings. This is not used for data profiling.
IncludeQuote bool: When true, a contextual quote from the data that triggered a finding is included in the response; see Finding.quote. This is not used for data profiling.
InfoTypes List<Pulumi.GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2InfoTypeResponse>: Restricts what info_types to look for. The values must correspond to InfoType values returned by ListInfoTypes or listed at https://cloud.google.com/dlp/docs/infotypes-reference. When no InfoTypes or CustomInfoTypes are specified in a request, the system may automatically choose a default list of detectors to run, which may change over time. If you need precise control and predictability as to what detectors are run you should specify specific InfoTypes listed in the reference, otherwise a default list will be used, which may change over time.
Limits Pulumi.GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2FindingLimitsResponse: Configuration to control the number of findings returned. This is not used for data profiling. When redacting sensitive data from images, finding limits don't apply. They can cause unexpected or inconsistent results, where only some data is redacted. Don't include finding limits in RedactImage requests. Otherwise, Cloud DLP returns an error. When set within an InspectJobConfig, the specified maximum values aren't hard limits. If an inspection job reaches these limits, the job ends gradually, not abruptly. Therefore, the actual number of findings that Cloud DLP returns can be multiple times higher than these maximum values.
MinLikelihood string: Only returns findings equal to or above this threshold. The default is POSSIBLE. In general, the highest likelihood setting yields the fewest findings in results and the lowest chance of a false positive. For more information, see Match likelihood.
MinLikelihoodPerInfoType List<Pulumi.GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2InfoTypeLikelihoodResponse>: Minimum likelihood per infotype. For each infotype, a user can specify a minimum likelihood. The system only returns a finding if its likelihood is above this threshold. If this field is not set, the system uses the InspectConfig min_likelihood.
RuleSet List<Pulumi.GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2InspectionRuleSetResponse>: Set of rules to apply to the findings for this InspectConfig. Exclusion rules, contained in the set are executed in the end, other rules are executed in the order they are specified for each info type.

ContentOptions []string: Deprecated and unused.
Deprecated: Deprecated and unused.
CustomInfoTypes []GooglePrivacyDlpV2CustomInfoTypeResponse: CustomInfoTypes provided by the user. See https://cloud.google.com/dlp/docs/creating-custom-infotypes to learn more.
ExcludeInfoTypes bool: When true, excludes type information of the findings. This is not used for data profiling.
IncludeQuote bool: When true, a contextual quote from the data that triggered a finding is included in the response; see Finding.quote. This is not used for data profiling.
InfoTypes []GooglePrivacyDlpV2InfoTypeResponse: Restricts what info_types to look for. The values must correspond to InfoType values returned by ListInfoTypes or listed at https://cloud.google.com/dlp/docs/infotypes-reference. When no InfoTypes or CustomInfoTypes are specified in a request, the system may automatically choose a default list of detectors to run, which may change over time. If you need precise control and predictability as to what detectors are run you should specify specific InfoTypes listed in the reference, otherwise a default list will be used, which may change over time.
Limits GooglePrivacyDlpV2FindingLimitsResponse: Configuration to control the number of findings returned. This is not used for data profiling. When redacting sensitive data from images, finding limits don't apply. They can cause unexpected or inconsistent results, where only some data is redacted. Don't include finding limits in RedactImage requests. Otherwise, Cloud DLP returns an error. When set within an InspectJobConfig, the specified maximum values aren't hard limits. If an inspection job reaches these limits, the job ends gradually, not abruptly. Therefore, the actual number of findings that Cloud DLP returns can be multiple times higher than these maximum values.
MinLikelihood string: Only returns findings equal to or above this threshold. The default is POSSIBLE. In general, the highest likelihood setting yields the fewest findings in results and the lowest chance of a false positive. For more information, see Match likelihood.
MinLikelihoodPerInfoType []GooglePrivacyDlpV2InfoTypeLikelihoodResponse: Minimum likelihood per infotype. For each infotype, a user can specify a minimum likelihood. The system only returns a finding if its likelihood is above this threshold. If this field is not set, the system uses the InspectConfig min_likelihood.
RuleSet []GooglePrivacyDlpV2InspectionRuleSetResponse: Set of rules to apply to the findings for this InspectConfig. Exclusion rules, contained in the set are executed in the end, other rules are executed in the order they are specified for each info type.

contentOptions List<String>: Deprecated and unused.
Deprecated: Deprecated and unused.
customInfoTypes List<GooglePrivacyDlpV2CustomInfoTypeResponse>: CustomInfoTypes provided by the user. See https://cloud.google.com/dlp/docs/creating-custom-infotypes to learn more.
excludeInfoTypes Boolean: When true, excludes type information of the findings. This is not used for data profiling.
includeQuote Boolean: When true, a contextual quote from the data that triggered a finding is included in the response; see Finding.quote. This is not used for data profiling.
infoTypes List<GooglePrivacyDlpV2InfoTypeResponse>: Restricts what info_types to look for. The values must correspond to InfoType values returned by ListInfoTypes or listed at https://cloud.google.com/dlp/docs/infotypes-reference. When no InfoTypes or CustomInfoTypes are specified in a request, the system may automatically choose a default list of detectors to run, which may change over time. If you need precise control and predictability as to what detectors are run you should specify specific InfoTypes listed in the reference, otherwise a default list will be used, which may change over time.
limits GooglePrivacyDlpV2FindingLimitsResponse: Configuration to control the number of findings returned. This is not used for data profiling. When redacting sensitive data from images, finding limits don't apply. They can cause unexpected or inconsistent results, where only some data is redacted. Don't include finding limits in RedactImage requests. Otherwise, Cloud DLP returns an error. When set within an InspectJobConfig, the specified maximum values aren't hard limits. If an inspection job reaches these limits, the job ends gradually, not abruptly. Therefore, the actual number of findings that Cloud DLP returns can be multiple times higher than these maximum values.
minLikelihood String: Only returns findings equal to or above this threshold. The default is POSSIBLE. In general, the highest likelihood setting yields the fewest findings in results and the lowest chance of a false positive. For more information, see Match likelihood.
minLikelihoodPerInfoType List<GooglePrivacyDlpV2InfoTypeLikelihoodResponse>: Minimum likelihood per infotype. For each infotype, a user can specify a minimum likelihood. The system only returns a finding if its likelihood is above this threshold. If this field is not set, the system uses the InspectConfig min_likelihood.
ruleSet List<GooglePrivacyDlpV2InspectionRuleSetResponse>: Set of rules to apply to the findings for this InspectConfig. Exclusion rules, contained in the set are executed in the end, other rules are executed in the order they are specified for each info type.

contentOptions string[]: Deprecated and unused.
Deprecated: Deprecated and unused.
customInfoTypes GooglePrivacyDlpV2CustomInfoTypeResponse[]: CustomInfoTypes provided by the user. See https://cloud.google.com/dlp/docs/creating-custom-infotypes to learn more.
excludeInfoTypes boolean: When true, excludes type information of the findings. This is not used for data profiling.
includeQuote boolean: When true, a contextual quote from the data that triggered a finding is included in the response; see Finding.quote. This is not used for data profiling.
infoTypes GooglePrivacyDlpV2InfoTypeResponse[]: Restricts what info_types to look for. The values must correspond to InfoType values returned by ListInfoTypes or listed at https://cloud.google.com/dlp/docs/infotypes-reference. When no InfoTypes or CustomInfoTypes are specified in a request, the system may automatically choose a default list of detectors to run, which may change over time. If you need precise control and predictability as to what detectors are run you should specify specific InfoTypes listed in the reference, otherwise a default list will be used, which may change over time.
limits GooglePrivacyDlpV2FindingLimitsResponse: Configuration to control the number of findings returned. This is not used for data profiling. When redacting sensitive data from images, finding limits don't apply. They can cause unexpected or inconsistent results, where only some data is redacted. Don't include finding limits in RedactImage requests. Otherwise, Cloud DLP returns an error. When set within an InspectJobConfig, the specified maximum values aren't hard limits. If an inspection job reaches these limits, the job ends gradually, not abruptly. Therefore, the actual number of findings that Cloud DLP returns can be multiple times higher than these maximum values.
minLikelihood string: Only returns findings equal to or above this threshold. The default is POSSIBLE. In general, the highest likelihood setting yields the fewest findings in results and the lowest chance of a false positive. For more information, see Match likelihood.
minLikelihoodPerInfoType GooglePrivacyDlpV2InfoTypeLikelihoodResponse[]: Minimum likelihood per infotype. For each infotype, a user can specify a minimum likelihood. The system only returns a finding if its likelihood is above this threshold. If this field is not set, the system uses the InspectConfig min_likelihood.
ruleSet GooglePrivacyDlpV2InspectionRuleSetResponse[]: Set of rules to apply to the findings for this InspectConfig. Exclusion rules, contained in the set are executed in the end, other rules are executed in the order they are specified for each info type.

content_options Sequence[str]: Deprecated and unused.
Deprecated: Deprecated and unused.
custom_info_types Sequence[GooglePrivacyDlpV2CustomInfoTypeResponse]: CustomInfoTypes provided by the user. See https://cloud.google.com/dlp/docs/creating-custom-infotypes to learn more.
exclude_info_types bool: When true, excludes type information of the findings. This is not used for data profiling.
include_quote bool: When true, a contextual quote from the data that triggered a finding is included in the response; see Finding.quote. This is not used for data profiling.
info_types Sequence[GooglePrivacyDlpV2InfoTypeResponse]: Restricts what info_types to look for. The values must correspond to InfoType values returned by ListInfoTypes or listed at https://cloud.google.com/dlp/docs/infotypes-reference. When no InfoTypes or CustomInfoTypes are specified in a request, the system may automatically choose a default list of detectors to run, which may change over time. If you need precise control and predictability as to what detectors are run you should specify specific InfoTypes listed in the reference, otherwise a default list will be used, which may change over time.
limits GooglePrivacyDlpV2FindingLimitsResponse: Configuration to control the number of findings returned. This is not used for data profiling. When redacting sensitive data from images, finding limits don't apply. They can cause unexpected or inconsistent results, where only some data is redacted. Don't include finding limits in RedactImage requests. Otherwise, Cloud DLP returns an error. When set within an InspectJobConfig, the specified maximum values aren't hard limits. If an inspection job reaches these limits, the job ends gradually, not abruptly. Therefore, the actual number of findings that Cloud DLP returns can be multiple times higher than these maximum values.
min_likelihood str: Only returns findings equal to or above this threshold. The default is POSSIBLE. In general, the highest likelihood setting yields the fewest findings in results and the lowest chance of a false positive. For more information, see Match likelihood.
min_likelihood_per_info_type Sequence[GooglePrivacyDlpV2InfoTypeLikelihoodResponse]: Minimum likelihood per infotype. For each infotype, a user can specify a minimum likelihood. The system only returns a finding if its likelihood is above this threshold. If this field is not set, the system uses the InspectConfig min_likelihood.
rule_set Sequence[GooglePrivacyDlpV2InspectionRuleSetResponse]: Set of rules to apply to the findings for this InspectConfig. Exclusion rules, contained in the set are executed in the end, other rules are executed in the order they are specified for each info type.

contentOptions List<String>: Deprecated and unused.
Deprecated: Deprecated and unused.
customInfoTypes List<Property Map>: CustomInfoTypes provided by the user. See https://cloud.google.com/dlp/docs/creating-custom-infotypes to learn more.
excludeInfoTypes Boolean: When true, excludes type information of the findings. This is not used for data profiling.
includeQuote Boolean: When true, a contextual quote from the data that triggered a finding is included in the response; see Finding.quote. This is not used for data profiling.
infoTypes List<Property Map>: Restricts what info_types to look for. The values must correspond to InfoType values returned by ListInfoTypes or listed at https://cloud.google.com/dlp/docs/infotypes-reference. When no InfoTypes or CustomInfoTypes are specified in a request, the system may automatically choose a default list of detectors to run, which may change over time. If you need precise control and predictability as to what detectors are run you should specify specific InfoTypes listed in the reference, otherwise a default list will be used, which may change over time.
limits Property Map: Configuration to control the number of findings returned. This is not used for data profiling. When redacting sensitive data from images, finding limits don't apply. They can cause unexpected or inconsistent results, where only some data is redacted. Don't include finding limits in RedactImage requests. Otherwise, Cloud DLP returns an error. When set within an InspectJobConfig, the specified maximum values aren't hard limits. If an inspection job reaches these limits, the job ends gradually, not abruptly. Therefore, the actual number of findings that Cloud DLP returns can be multiple times higher than these maximum values.
minLikelihood String: Only returns findings equal to or above this threshold. The default is POSSIBLE. In general, the highest likelihood setting yields the fewest findings in results and the lowest chance of a false positive. For more information, see Match likelihood.
minLikelihoodPerInfoType List<Property Map>: Minimum likelihood per infotype. For each infotype, a user can specify a minimum likelihood. The system only returns a finding if its likelihood is above this threshold. If this field is not set, the system uses the InspectConfig min_likelihood.
ruleSet List<Property Map>: Set of rules to apply to the findings for this InspectConfig. Exclusion rules, contained in the set are executed in the end, other rules are executed in the order they are specified for each info type.

GooglePrivacyDlpV2InspectDataSourceDetailsResponse

RequestedOptions Pulumi.GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2RequestedOptionsResponse: The configuration used for this job.
Result Pulumi.GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2ResultResponse: A summary of the outcome of this inspection job.

RequestedOptions GooglePrivacyDlpV2RequestedOptionsResponse: The configuration used for this job.
Result GooglePrivacyDlpV2ResultResponse: A summary of the outcome of this inspection job.

requestedOptions GooglePrivacyDlpV2RequestedOptionsResponse: The configuration used for this job.
result GooglePrivacyDlpV2ResultResponse: A summary of the outcome of this inspection job.

requestedOptions GooglePrivacyDlpV2RequestedOptionsResponse: The configuration used for this job.
result GooglePrivacyDlpV2ResultResponse: A summary of the outcome of this inspection job.

requested_options GooglePrivacyDlpV2RequestedOptionsResponse: The configuration used for this job.
result GooglePrivacyDlpV2ResultResponse: A summary of the outcome of this inspection job.

requestedOptions Property Map: The configuration used for this job.
result Property Map: A summary of the outcome of this inspection job.

GooglePrivacyDlpV2InspectJobConfigResponse

Actions List<Pulumi.GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2ActionResponse>: Actions to execute at the completion of the job.
InspectConfig Pulumi.GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2InspectConfigResponse: How and what to scan for.
InspectTemplateName string: If provided, will be used as the default for all values in InspectConfig. inspect_config will be merged into the values persisted as part of the template.
StorageConfig Pulumi.GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2StorageConfigResponse: The data to scan.

Actions []GooglePrivacyDlpV2ActionResponse: Actions to execute at the completion of the job.
InspectConfig GooglePrivacyDlpV2InspectConfigResponse: How and what to scan for.
InspectTemplateName string: If provided, will be used as the default for all values in InspectConfig. inspect_config will be merged into the values persisted as part of the template.
StorageConfig GooglePrivacyDlpV2StorageConfigResponse: The data to scan.

actions List<GooglePrivacyDlpV2ActionResponse>: Actions to execute at the completion of the job.
inspectConfig GooglePrivacyDlpV2InspectConfigResponse: How and what to scan for.
inspectTemplateName String: If provided, will be used as the default for all values in InspectConfig. inspect_config will be merged into the values persisted as part of the template.
storageConfig GooglePrivacyDlpV2StorageConfigResponse: The data to scan.

actions GooglePrivacyDlpV2ActionResponse[]: Actions to execute at the completion of the job.
inspectConfig GooglePrivacyDlpV2InspectConfigResponse: How and what to scan for.
inspectTemplateName string: If provided, will be used as the default for all values in InspectConfig. inspect_config will be merged into the values persisted as part of the template.
storageConfig GooglePrivacyDlpV2StorageConfigResponse: The data to scan.

actions Sequence[GooglePrivacyDlpV2ActionResponse]: Actions to execute at the completion of the job.
inspect_config GooglePrivacyDlpV2InspectConfigResponse: How and what to scan for.
inspect_template_name str: If provided, will be used as the default for all values in InspectConfig. inspect_config will be merged into the values persisted as part of the template.
storage_config GooglePrivacyDlpV2StorageConfigResponse: The data to scan.

actions List<Property Map>: Actions to execute at the completion of the job.
inspectConfig Property Map: How and what to scan for.
inspectTemplateName String: If provided, will be used as the default for all values in InspectConfig. inspect_config will be merged into the values persisted as part of the template.
storageConfig Property Map: The data to scan.

GooglePrivacyDlpV2InspectTemplateResponse

CreateTime string: The creation timestamp of an inspectTemplate.
Description string: Short description (max 256 chars).
DisplayName string: Display name (max 256 chars).
InspectConfig Pulumi.GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2InspectConfigResponse: The core content of the template. Configuration of the scanning process.
Name string: The template name. The template will have one of the following formats: projects/PROJECT_ID/inspectTemplates/TEMPLATE_ID OR organizations/ORGANIZATION_ID/inspectTemplates/TEMPLATE_ID;
UpdateTime string: The last update timestamp of an inspectTemplate.

CreateTime string: The creation timestamp of an inspectTemplate.
Description string: Short description (max 256 chars).
DisplayName string: Display name (max 256 chars).
InspectConfig GooglePrivacyDlpV2InspectConfigResponse: The core content of the template. Configuration of the scanning process.
Name string: The template name. The template will have one of the following formats: projects/PROJECT_ID/inspectTemplates/TEMPLATE_ID OR organizations/ORGANIZATION_ID/inspectTemplates/TEMPLATE_ID;
UpdateTime string: The last update timestamp of an inspectTemplate.

createTime String: The creation timestamp of an inspectTemplate.
description String: Short description (max 256 chars).
displayName String: Display name (max 256 chars).
inspectConfig GooglePrivacyDlpV2InspectConfigResponse: The core content of the template. Configuration of the scanning process.
name String: The template name. The template will have one of the following formats: projects/PROJECT_ID/inspectTemplates/TEMPLATE_ID OR organizations/ORGANIZATION_ID/inspectTemplates/TEMPLATE_ID;
updateTime String: The last update timestamp of an inspectTemplate.

createTime string: The creation timestamp of an inspectTemplate.
description string: Short description (max 256 chars).
displayName string: Display name (max 256 chars).
inspectConfig GooglePrivacyDlpV2InspectConfigResponse: The core content of the template. Configuration of the scanning process.
name string: The template name. The template will have one of the following formats: projects/PROJECT_ID/inspectTemplates/TEMPLATE_ID OR organizations/ORGANIZATION_ID/inspectTemplates/TEMPLATE_ID;
updateTime string: The last update timestamp of an inspectTemplate.

create_time str: The creation timestamp of an inspectTemplate.
description str: Short description (max 256 chars).
display_name str: Display name (max 256 chars).
inspect_config GooglePrivacyDlpV2InspectConfigResponse: The core content of the template. Configuration of the scanning process.
name str: The template name. The template will have one of the following formats: projects/PROJECT_ID/inspectTemplates/TEMPLATE_ID OR organizations/ORGANIZATION_ID/inspectTemplates/TEMPLATE_ID;
update_time str: The last update timestamp of an inspectTemplate.

createTime String: The creation timestamp of an inspectTemplate.
description String: Short description (max 256 chars).
displayName String: Display name (max 256 chars).
inspectConfig Property Map: The core content of the template. Configuration of the scanning process.
name String: The template name. The template will have one of the following formats: projects/PROJECT_ID/inspectTemplates/TEMPLATE_ID OR organizations/ORGANIZATION_ID/inspectTemplates/TEMPLATE_ID;
updateTime String: The last update timestamp of an inspectTemplate.

GooglePrivacyDlpV2InspectionRuleResponse

ExclusionRule Pulumi.GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2ExclusionRuleResponse: Exclusion rule.
HotwordRule Pulumi.GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2HotwordRuleResponse: Hotword-based detection rule.

ExclusionRule GooglePrivacyDlpV2ExclusionRuleResponse: Exclusion rule.
HotwordRule GooglePrivacyDlpV2HotwordRuleResponse: Hotword-based detection rule.

exclusionRule GooglePrivacyDlpV2ExclusionRuleResponse: Exclusion rule.
hotwordRule GooglePrivacyDlpV2HotwordRuleResponse: Hotword-based detection rule.

exclusionRule GooglePrivacyDlpV2ExclusionRuleResponse: Exclusion rule.
hotwordRule GooglePrivacyDlpV2HotwordRuleResponse: Hotword-based detection rule.

exclusion_rule GooglePrivacyDlpV2ExclusionRuleResponse: Exclusion rule.
hotword_rule GooglePrivacyDlpV2HotwordRuleResponse: Hotword-based detection rule.

exclusionRule Property Map: Exclusion rule.
hotwordRule Property Map: Hotword-based detection rule.

GooglePrivacyDlpV2InspectionRuleSetResponse

InfoTypes List<Pulumi.GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2InfoTypeResponse>: List of infoTypes this rule set is applied to.
Rules List<Pulumi.GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2InspectionRuleResponse>: Set of rules to be applied to infoTypes. The rules are applied in order.

InfoTypes []GooglePrivacyDlpV2InfoTypeResponse: List of infoTypes this rule set is applied to.
Rules []GooglePrivacyDlpV2InspectionRuleResponse: Set of rules to be applied to infoTypes. The rules are applied in order.

infoTypes List<GooglePrivacyDlpV2InfoTypeResponse>: List of infoTypes this rule set is applied to.
rules List<GooglePrivacyDlpV2InspectionRuleResponse>: Set of rules to be applied to infoTypes. The rules are applied in order.

infoTypes GooglePrivacyDlpV2InfoTypeResponse[]: List of infoTypes this rule set is applied to.
rules GooglePrivacyDlpV2InspectionRuleResponse[]: Set of rules to be applied to infoTypes. The rules are applied in order.

info_types Sequence[GooglePrivacyDlpV2InfoTypeResponse]: List of infoTypes this rule set is applied to.
rules Sequence[GooglePrivacyDlpV2InspectionRuleResponse]: Set of rules to be applied to infoTypes. The rules are applied in order.

infoTypes List<Property Map>: List of infoTypes this rule set is applied to.
rules List<Property Map>: Set of rules to be applied to infoTypes. The rules are applied in order.

GooglePrivacyDlpV2KAnonymityConfigResponse

EntityId Pulumi.GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2EntityIdResponse: Message indicating that multiple rows might be associated to a single individual. If the same entity_id is associated to multiple quasi-identifier tuples over distinct rows, we consider the entire collection of tuples as the composite quasi-identifier. This collection is a multiset: the order in which the different tuples appear in the dataset is ignored, but their frequency is taken into account. Important note: a maximum of 1000 rows can be associated to a single entity ID. If more rows are associated with the same entity ID, some might be ignored.
QuasiIds List<Pulumi.GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2FieldIdResponse>: Set of fields to compute k-anonymity over. When multiple fields are specified, they are considered a single composite key. Structs and repeated data types are not supported; however, nested fields are supported so long as they are not structs themselves or nested within a repeated field.

EntityId GooglePrivacyDlpV2EntityIdResponse: Message indicating that multiple rows might be associated to a single individual. If the same entity_id is associated to multiple quasi-identifier tuples over distinct rows, we consider the entire collection of tuples as the composite quasi-identifier. This collection is a multiset: the order in which the different tuples appear in the dataset is ignored, but their frequency is taken into account. Important note: a maximum of 1000 rows can be associated to a single entity ID. If more rows are associated with the same entity ID, some might be ignored.
QuasiIds []GooglePrivacyDlpV2FieldIdResponse: Set of fields to compute k-anonymity over. When multiple fields are specified, they are considered a single composite key. Structs and repeated data types are not supported; however, nested fields are supported so long as they are not structs themselves or nested within a repeated field.

entityId GooglePrivacyDlpV2EntityIdResponse: Message indicating that multiple rows might be associated to a single individual. If the same entity_id is associated to multiple quasi-identifier tuples over distinct rows, we consider the entire collection of tuples as the composite quasi-identifier. This collection is a multiset: the order in which the different tuples appear in the dataset is ignored, but their frequency is taken into account. Important note: a maximum of 1000 rows can be associated to a single entity ID. If more rows are associated with the same entity ID, some might be ignored.
quasiIds List<GooglePrivacyDlpV2FieldIdResponse>: Set of fields to compute k-anonymity over. When multiple fields are specified, they are considered a single composite key. Structs and repeated data types are not supported; however, nested fields are supported so long as they are not structs themselves or nested within a repeated field.

entityId GooglePrivacyDlpV2EntityIdResponse: Message indicating that multiple rows might be associated to a single individual. If the same entity_id is associated to multiple quasi-identifier tuples over distinct rows, we consider the entire collection of tuples as the composite quasi-identifier. This collection is a multiset: the order in which the different tuples appear in the dataset is ignored, but their frequency is taken into account. Important note: a maximum of 1000 rows can be associated to a single entity ID. If more rows are associated with the same entity ID, some might be ignored.
quasiIds GooglePrivacyDlpV2FieldIdResponse[]: Set of fields to compute k-anonymity over. When multiple fields are specified, they are considered a single composite key. Structs and repeated data types are not supported; however, nested fields are supported so long as they are not structs themselves or nested within a repeated field.

entity_id GooglePrivacyDlpV2EntityIdResponse: Message indicating that multiple rows might be associated to a single individual. If the same entity_id is associated to multiple quasi-identifier tuples over distinct rows, we consider the entire collection of tuples as the composite quasi-identifier. This collection is a multiset: the order in which the different tuples appear in the dataset is ignored, but their frequency is taken into account. Important note: a maximum of 1000 rows can be associated to a single entity ID. If more rows are associated with the same entity ID, some might be ignored.
quasi_ids Sequence[GooglePrivacyDlpV2FieldIdResponse]: Set of fields to compute k-anonymity over. When multiple fields are specified, they are considered a single composite key. Structs and repeated data types are not supported; however, nested fields are supported so long as they are not structs themselves or nested within a repeated field.

entityId Property Map: Message indicating that multiple rows might be associated to a single individual. If the same entity_id is associated to multiple quasi-identifier tuples over distinct rows, we consider the entire collection of tuples as the composite quasi-identifier. This collection is a multiset: the order in which the different tuples appear in the dataset is ignored, but their frequency is taken into account. Important note: a maximum of 1000 rows can be associated to a single entity ID. If more rows are associated with the same entity ID, some might be ignored.
quasiIds List<Property Map>: Set of fields to compute k-anonymity over. When multiple fields are specified, they are considered a single composite key. Structs and repeated data types are not supported; however, nested fields are supported so long as they are not structs themselves or nested within a repeated field.

GooglePrivacyDlpV2KAnonymityEquivalenceClassResponse

EquivalenceClassSize string: Size of the equivalence class, for example number of rows with the above set of values.
QuasiIdsValues List<Pulumi.GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2ValueResponse>: Set of values defining the equivalence class. One value per quasi-identifier column in the original KAnonymity metric message. The order is always the same as the original request.

EquivalenceClassSize string: Size of the equivalence class, for example number of rows with the above set of values.
QuasiIdsValues []GooglePrivacyDlpV2ValueResponse: Set of values defining the equivalence class. One value per quasi-identifier column in the original KAnonymity metric message. The order is always the same as the original request.

equivalenceClassSize String: Size of the equivalence class, for example number of rows with the above set of values.
quasiIdsValues List<GooglePrivacyDlpV2ValueResponse>: Set of values defining the equivalence class. One value per quasi-identifier column in the original KAnonymity metric message. The order is always the same as the original request.

equivalenceClassSize string: Size of the equivalence class, for example number of rows with the above set of values.
quasiIdsValues GooglePrivacyDlpV2ValueResponse[]: Set of values defining the equivalence class. One value per quasi-identifier column in the original KAnonymity metric message. The order is always the same as the original request.

equivalence_class_size str: Size of the equivalence class, for example number of rows with the above set of values.
quasi_ids_values Sequence[GooglePrivacyDlpV2ValueResponse]: Set of values defining the equivalence class. One value per quasi-identifier column in the original KAnonymity metric message. The order is always the same as the original request.

equivalenceClassSize String: Size of the equivalence class, for example number of rows with the above set of values.
quasiIdsValues List<Property Map>: Set of values defining the equivalence class. One value per quasi-identifier column in the original KAnonymity metric message. The order is always the same as the original request.

GooglePrivacyDlpV2KAnonymityHistogramBucketResponse

BucketSize string: Total number of equivalence classes in this bucket.
BucketValueCount string: Total number of distinct equivalence classes in this bucket.
BucketValues List<Pulumi.GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2KAnonymityEquivalenceClassResponse>: Sample of equivalence classes in this bucket. The total number of classes returned per bucket is capped at 20.
EquivalenceClassSizeLowerBound string: Lower bound on the size of the equivalence classes in this bucket.
EquivalenceClassSizeUpperBound string: Upper bound on the size of the equivalence classes in this bucket.

BucketSize string: Total number of equivalence classes in this bucket.
BucketValueCount string: Total number of distinct equivalence classes in this bucket.
BucketValues []GooglePrivacyDlpV2KAnonymityEquivalenceClassResponse: Sample of equivalence classes in this bucket. The total number of classes returned per bucket is capped at 20.
EquivalenceClassSizeLowerBound string: Lower bound on the size of the equivalence classes in this bucket.
EquivalenceClassSizeUpperBound string: Upper bound on the size of the equivalence classes in this bucket.

bucketSize String: Total number of equivalence classes in this bucket.
bucketValueCount String: Total number of distinct equivalence classes in this bucket.
bucketValues List<GooglePrivacyDlpV2KAnonymityEquivalenceClassResponse>: Sample of equivalence classes in this bucket. The total number of classes returned per bucket is capped at 20.
equivalenceClassSizeLowerBound String: Lower bound on the size of the equivalence classes in this bucket.
equivalenceClassSizeUpperBound String: Upper bound on the size of the equivalence classes in this bucket.

bucketSize string: Total number of equivalence classes in this bucket.
bucketValueCount string: Total number of distinct equivalence classes in this bucket.
bucketValues GooglePrivacyDlpV2KAnonymityEquivalenceClassResponse[]: Sample of equivalence classes in this bucket. The total number of classes returned per bucket is capped at 20.
equivalenceClassSizeLowerBound string: Lower bound on the size of the equivalence classes in this bucket.
equivalenceClassSizeUpperBound string: Upper bound on the size of the equivalence classes in this bucket.

bucket_size str: Total number of equivalence classes in this bucket.
bucket_value_count str: Total number of distinct equivalence classes in this bucket.
bucket_values Sequence[GooglePrivacyDlpV2KAnonymityEquivalenceClassResponse]: Sample of equivalence classes in this bucket. The total number of classes returned per bucket is capped at 20.
equivalence_class_size_lower_bound str: Lower bound on the size of the equivalence classes in this bucket.
equivalence_class_size_upper_bound str: Upper bound on the size of the equivalence classes in this bucket.

bucketSize String: Total number of equivalence classes in this bucket.
bucketValueCount String: Total number of distinct equivalence classes in this bucket.
bucketValues List<Property Map>: Sample of equivalence classes in this bucket. The total number of classes returned per bucket is capped at 20.
equivalenceClassSizeLowerBound String: Lower bound on the size of the equivalence classes in this bucket.
equivalenceClassSizeUpperBound String: Upper bound on the size of the equivalence classes in this bucket.

GooglePrivacyDlpV2KAnonymityResultResponse

EquivalenceClassHistogramBuckets List<Pulumi.GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2KAnonymityHistogramBucketResponse>: Histogram of k-anonymity equivalence classes.

EquivalenceClassHistogramBuckets []GooglePrivacyDlpV2KAnonymityHistogramBucketResponse: Histogram of k-anonymity equivalence classes.

equivalenceClassHistogramBuckets List<GooglePrivacyDlpV2KAnonymityHistogramBucketResponse>: Histogram of k-anonymity equivalence classes.

equivalenceClassHistogramBuckets GooglePrivacyDlpV2KAnonymityHistogramBucketResponse[]: Histogram of k-anonymity equivalence classes.

equivalence_class_histogram_buckets Sequence[GooglePrivacyDlpV2KAnonymityHistogramBucketResponse]: Histogram of k-anonymity equivalence classes.

equivalenceClassHistogramBuckets List<Property Map>: Histogram of k-anonymity equivalence classes.

GooglePrivacyDlpV2KMapEstimationConfigResponse

AuxiliaryTables List<Pulumi.GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2AuxiliaryTableResponse>: Several auxiliary tables can be used in the analysis. Each custom_tag used to tag a quasi-identifiers column must appear in exactly one column of one auxiliary table.
QuasiIds List<Pulumi.GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2TaggedFieldResponse>: Fields considered to be quasi-identifiers. No two columns can have the same tag.
RegionCode string: ISO 3166-1 alpha-2 region code to use in the statistical modeling. Set if no column is tagged with a region-specific InfoType (like US_ZIP_5) or a region code.

AuxiliaryTables []GooglePrivacyDlpV2AuxiliaryTableResponse: Several auxiliary tables can be used in the analysis. Each custom_tag used to tag a quasi-identifiers column must appear in exactly one column of one auxiliary table.
QuasiIds []GooglePrivacyDlpV2TaggedFieldResponse: Fields considered to be quasi-identifiers. No two columns can have the same tag.
RegionCode string: ISO 3166-1 alpha-2 region code to use in the statistical modeling. Set if no column is tagged with a region-specific InfoType (like US_ZIP_5) or a region code.

auxiliaryTables List<GooglePrivacyDlpV2AuxiliaryTableResponse>: Several auxiliary tables can be used in the analysis. Each custom_tag used to tag a quasi-identifiers column must appear in exactly one column of one auxiliary table.
quasiIds List<GooglePrivacyDlpV2TaggedFieldResponse>: Fields considered to be quasi-identifiers. No two columns can have the same tag.
regionCode String: ISO 3166-1 alpha-2 region code to use in the statistical modeling. Set if no column is tagged with a region-specific InfoType (like US_ZIP_5) or a region code.

auxiliaryTables GooglePrivacyDlpV2AuxiliaryTableResponse[]: Several auxiliary tables can be used in the analysis. Each custom_tag used to tag a quasi-identifiers column must appear in exactly one column of one auxiliary table.
quasiIds GooglePrivacyDlpV2TaggedFieldResponse[]: Fields considered to be quasi-identifiers. No two columns can have the same tag.
regionCode string: ISO 3166-1 alpha-2 region code to use in the statistical modeling. Set if no column is tagged with a region-specific InfoType (like US_ZIP_5) or a region code.

auxiliary_tables Sequence[GooglePrivacyDlpV2AuxiliaryTableResponse]: Several auxiliary tables can be used in the analysis. Each custom_tag used to tag a quasi-identifiers column must appear in exactly one column of one auxiliary table.
quasi_ids Sequence[GooglePrivacyDlpV2TaggedFieldResponse]: Fields considered to be quasi-identifiers. No two columns can have the same tag.
region_code str: ISO 3166-1 alpha-2 region code to use in the statistical modeling. Set if no column is tagged with a region-specific InfoType (like US_ZIP_5) or a region code.

auxiliaryTables List<Property Map>: Several auxiliary tables can be used in the analysis. Each custom_tag used to tag a quasi-identifiers column must appear in exactly one column of one auxiliary table.
quasiIds List<Property Map>: Fields considered to be quasi-identifiers. No two columns can have the same tag.
regionCode String: ISO 3166-1 alpha-2 region code to use in the statistical modeling. Set if no column is tagged with a region-specific InfoType (like US_ZIP_5) or a region code.

GooglePrivacyDlpV2KMapEstimationHistogramBucketResponse

BucketSize string: Number of records within these anonymity bounds.
BucketValueCount string: Total number of distinct quasi-identifier tuple values in this bucket.
BucketValues List<Pulumi.GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2KMapEstimationQuasiIdValuesResponse>: Sample of quasi-identifier tuple values in this bucket. The total number of classes returned per bucket is capped at 20.
MaxAnonymity string: Always greater than or equal to min_anonymity.
MinAnonymity string: Always positive.

BucketSize string: Number of records within these anonymity bounds.
BucketValueCount string: Total number of distinct quasi-identifier tuple values in this bucket.
BucketValues []GooglePrivacyDlpV2KMapEstimationQuasiIdValuesResponse: Sample of quasi-identifier tuple values in this bucket. The total number of classes returned per bucket is capped at 20.
MaxAnonymity string: Always greater than or equal to min_anonymity.
MinAnonymity string: Always positive.

bucketSize String: Number of records within these anonymity bounds.
bucketValueCount String: Total number of distinct quasi-identifier tuple values in this bucket.
bucketValues List<GooglePrivacyDlpV2KMapEstimationQuasiIdValuesResponse>: Sample of quasi-identifier tuple values in this bucket. The total number of classes returned per bucket is capped at 20.
maxAnonymity String: Always greater than or equal to min_anonymity.
minAnonymity String: Always positive.

bucketSize string: Number of records within these anonymity bounds.
bucketValueCount string: Total number of distinct quasi-identifier tuple values in this bucket.
bucketValues GooglePrivacyDlpV2KMapEstimationQuasiIdValuesResponse[]: Sample of quasi-identifier tuple values in this bucket. The total number of classes returned per bucket is capped at 20.
maxAnonymity string: Always greater than or equal to min_anonymity.
minAnonymity string: Always positive.

bucket_size str: Number of records within these anonymity bounds.
bucket_value_count str: Total number of distinct quasi-identifier tuple values in this bucket.
bucket_values Sequence[GooglePrivacyDlpV2KMapEstimationQuasiIdValuesResponse]: Sample of quasi-identifier tuple values in this bucket. The total number of classes returned per bucket is capped at 20.
max_anonymity str: Always greater than or equal to min_anonymity.
min_anonymity str: Always positive.

bucketSize String: Number of records within these anonymity bounds.
bucketValueCount String: Total number of distinct quasi-identifier tuple values in this bucket.
bucketValues List<Property Map>: Sample of quasi-identifier tuple values in this bucket. The total number of classes returned per bucket is capped at 20.
maxAnonymity String: Always greater than or equal to min_anonymity.
minAnonymity String: Always positive.

GooglePrivacyDlpV2KMapEstimationQuasiIdValuesResponse

EstimatedAnonymity string: The estimated anonymity for these quasi-identifier values.
QuasiIdsValues List<Pulumi.GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2ValueResponse>: The quasi-identifier values.

EstimatedAnonymity string: The estimated anonymity for these quasi-identifier values.
QuasiIdsValues []GooglePrivacyDlpV2ValueResponse: The quasi-identifier values.

estimatedAnonymity String: The estimated anonymity for these quasi-identifier values.
quasiIdsValues List<GooglePrivacyDlpV2ValueResponse>: The quasi-identifier values.

estimatedAnonymity string: The estimated anonymity for these quasi-identifier values.
quasiIdsValues GooglePrivacyDlpV2ValueResponse[]: The quasi-identifier values.

estimated_anonymity str: The estimated anonymity for these quasi-identifier values.
quasi_ids_values Sequence[GooglePrivacyDlpV2ValueResponse]: The quasi-identifier values.

estimatedAnonymity String: The estimated anonymity for these quasi-identifier values.
quasiIdsValues List<Property Map>: The quasi-identifier values.

GooglePrivacyDlpV2KMapEstimationResultResponse

KMapEstimationHistogram List<Pulumi.GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2KMapEstimationHistogramBucketResponse>: The intervals [min_anonymity, max_anonymity] do not overlap. If a value doesn't correspond to any such interval, the associated frequency is zero. For example, the following records: {min_anonymity: 1, max_anonymity: 1, frequency: 17} {min_anonymity: 2, max_anonymity: 3, frequency: 42} {min_anonymity: 5, max_anonymity: 10, frequency: 99} mean that there are no record with an estimated anonymity of 4, 5, or larger than 10.

KMapEstimationHistogram []GooglePrivacyDlpV2KMapEstimationHistogramBucketResponse: The intervals [min_anonymity, max_anonymity] do not overlap. If a value doesn't correspond to any such interval, the associated frequency is zero. For example, the following records: {min_anonymity: 1, max_anonymity: 1, frequency: 17} {min_anonymity: 2, max_anonymity: 3, frequency: 42} {min_anonymity: 5, max_anonymity: 10, frequency: 99} mean that there are no record with an estimated anonymity of 4, 5, or larger than 10.

kMapEstimationHistogram List<GooglePrivacyDlpV2KMapEstimationHistogramBucketResponse>: The intervals [min_anonymity, max_anonymity] do not overlap. If a value doesn't correspond to any such interval, the associated frequency is zero. For example, the following records: {min_anonymity: 1, max_anonymity: 1, frequency: 17} {min_anonymity: 2, max_anonymity: 3, frequency: 42} {min_anonymity: 5, max_anonymity: 10, frequency: 99} mean that there are no record with an estimated anonymity of 4, 5, or larger than 10.

kMapEstimationHistogram GooglePrivacyDlpV2KMapEstimationHistogramBucketResponse[]: The intervals [min_anonymity, max_anonymity] do not overlap. If a value doesn't correspond to any such interval, the associated frequency is zero. For example, the following records: {min_anonymity: 1, max_anonymity: 1, frequency: 17} {min_anonymity: 2, max_anonymity: 3, frequency: 42} {min_anonymity: 5, max_anonymity: 10, frequency: 99} mean that there are no record with an estimated anonymity of 4, 5, or larger than 10.

k_map_estimation_histogram Sequence[GooglePrivacyDlpV2KMapEstimationHistogramBucketResponse]: The intervals [min_anonymity, max_anonymity] do not overlap. If a value doesn't correspond to any such interval, the associated frequency is zero. For example, the following records: {min_anonymity: 1, max_anonymity: 1, frequency: 17} {min_anonymity: 2, max_anonymity: 3, frequency: 42} {min_anonymity: 5, max_anonymity: 10, frequency: 99} mean that there are no record with an estimated anonymity of 4, 5, or larger than 10.

kMapEstimationHistogram List<Property Map>: The intervals [min_anonymity, max_anonymity] do not overlap. If a value doesn't correspond to any such interval, the associated frequency is zero. For example, the following records: {min_anonymity: 1, max_anonymity: 1, frequency: 17} {min_anonymity: 2, max_anonymity: 3, frequency: 42} {min_anonymity: 5, max_anonymity: 10, frequency: 99} mean that there are no record with an estimated anonymity of 4, 5, or larger than 10.

GooglePrivacyDlpV2KindExpressionResponse

Name string: The name of the kind.

Name string: The name of the kind.

name String: The name of the kind.

name string: The name of the kind.

name str: The name of the kind.

name String: The name of the kind.

GooglePrivacyDlpV2KmsWrappedCryptoKeyResponse

CryptoKeyName string: The resource name of the KMS CryptoKey to use for unwrapping.
WrappedKey string: The wrapped data crypto key.

CryptoKeyName string: The resource name of the KMS CryptoKey to use for unwrapping.
WrappedKey string: The wrapped data crypto key.

cryptoKeyName String: The resource name of the KMS CryptoKey to use for unwrapping.
wrappedKey String: The wrapped data crypto key.

cryptoKeyName string: The resource name of the KMS CryptoKey to use for unwrapping.
wrappedKey string: The wrapped data crypto key.

crypto_key_name str: The resource name of the KMS CryptoKey to use for unwrapping.
wrapped_key str: The wrapped data crypto key.

cryptoKeyName String: The resource name of the KMS CryptoKey to use for unwrapping.
wrappedKey String: The wrapped data crypto key.

GooglePrivacyDlpV2LDiversityConfigResponse

QuasiIds List<Pulumi.GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2FieldIdResponse>: Set of quasi-identifiers indicating how equivalence classes are defined for the l-diversity computation. When multiple fields are specified, they are considered a single composite key.
SensitiveAttribute Pulumi.GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2FieldIdResponse: Sensitive field for computing the l-value.

QuasiIds []GooglePrivacyDlpV2FieldIdResponse: Set of quasi-identifiers indicating how equivalence classes are defined for the l-diversity computation. When multiple fields are specified, they are considered a single composite key.
SensitiveAttribute GooglePrivacyDlpV2FieldIdResponse: Sensitive field for computing the l-value.

quasiIds List<GooglePrivacyDlpV2FieldIdResponse>: Set of quasi-identifiers indicating how equivalence classes are defined for the l-diversity computation. When multiple fields are specified, they are considered a single composite key.
sensitiveAttribute GooglePrivacyDlpV2FieldIdResponse: Sensitive field for computing the l-value.

quasiIds GooglePrivacyDlpV2FieldIdResponse[]: Set of quasi-identifiers indicating how equivalence classes are defined for the l-diversity computation. When multiple fields are specified, they are considered a single composite key.
sensitiveAttribute GooglePrivacyDlpV2FieldIdResponse: Sensitive field for computing the l-value.

quasi_ids Sequence[GooglePrivacyDlpV2FieldIdResponse]: Set of quasi-identifiers indicating how equivalence classes are defined for the l-diversity computation. When multiple fields are specified, they are considered a single composite key.
sensitive_attribute GooglePrivacyDlpV2FieldIdResponse: Sensitive field for computing the l-value.

quasiIds List<Property Map>: Set of quasi-identifiers indicating how equivalence classes are defined for the l-diversity computation. When multiple fields are specified, they are considered a single composite key.
sensitiveAttribute Property Map: Sensitive field for computing the l-value.

GooglePrivacyDlpV2LDiversityEquivalenceClassResponse

EquivalenceClassSize string: Size of the k-anonymity equivalence class.
NumDistinctSensitiveValues string: Number of distinct sensitive values in this equivalence class.
QuasiIdsValues List<Pulumi.GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2ValueResponse>: Quasi-identifier values defining the k-anonymity equivalence class. The order is always the same as the original request.
TopSensitiveValues List<Pulumi.GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2ValueFrequencyResponse>: Estimated frequencies of top sensitive values.

EquivalenceClassSize string: Size of the k-anonymity equivalence class.
NumDistinctSensitiveValues string: Number of distinct sensitive values in this equivalence class.
QuasiIdsValues []GooglePrivacyDlpV2ValueResponse: Quasi-identifier values defining the k-anonymity equivalence class. The order is always the same as the original request.
TopSensitiveValues []GooglePrivacyDlpV2ValueFrequencyResponse: Estimated frequencies of top sensitive values.

equivalenceClassSize String: Size of the k-anonymity equivalence class.
numDistinctSensitiveValues String: Number of distinct sensitive values in this equivalence class.
quasiIdsValues List<GooglePrivacyDlpV2ValueResponse>: Quasi-identifier values defining the k-anonymity equivalence class. The order is always the same as the original request.
topSensitiveValues List<GooglePrivacyDlpV2ValueFrequencyResponse>: Estimated frequencies of top sensitive values.

equivalenceClassSize string: Size of the k-anonymity equivalence class.
numDistinctSensitiveValues string: Number of distinct sensitive values in this equivalence class.
quasiIdsValues GooglePrivacyDlpV2ValueResponse[]: Quasi-identifier values defining the k-anonymity equivalence class. The order is always the same as the original request.
topSensitiveValues GooglePrivacyDlpV2ValueFrequencyResponse[]: Estimated frequencies of top sensitive values.

equivalence_class_size str: Size of the k-anonymity equivalence class.
num_distinct_sensitive_values str: Number of distinct sensitive values in this equivalence class.
quasi_ids_values Sequence[GooglePrivacyDlpV2ValueResponse]: Quasi-identifier values defining the k-anonymity equivalence class. The order is always the same as the original request.
top_sensitive_values Sequence[GooglePrivacyDlpV2ValueFrequencyResponse]: Estimated frequencies of top sensitive values.

equivalenceClassSize String: Size of the k-anonymity equivalence class.
numDistinctSensitiveValues String: Number of distinct sensitive values in this equivalence class.
quasiIdsValues List<Property Map>: Quasi-identifier values defining the k-anonymity equivalence class. The order is always the same as the original request.
topSensitiveValues List<Property Map>: Estimated frequencies of top sensitive values.

GooglePrivacyDlpV2LDiversityHistogramBucketResponse

BucketSize string: Total number of equivalence classes in this bucket.
BucketValueCount string: Total number of distinct equivalence classes in this bucket.
BucketValues List<Pulumi.GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2LDiversityEquivalenceClassResponse>: Sample of equivalence classes in this bucket. The total number of classes returned per bucket is capped at 20.
SensitiveValueFrequencyLowerBound string: Lower bound on the sensitive value frequencies of the equivalence classes in this bucket.
SensitiveValueFrequencyUpperBound string: Upper bound on the sensitive value frequencies of the equivalence classes in this bucket.

BucketSize string: Total number of equivalence classes in this bucket.
BucketValueCount string: Total number of distinct equivalence classes in this bucket.
BucketValues []GooglePrivacyDlpV2LDiversityEquivalenceClassResponse: Sample of equivalence classes in this bucket. The total number of classes returned per bucket is capped at 20.
SensitiveValueFrequencyLowerBound string: Lower bound on the sensitive value frequencies of the equivalence classes in this bucket.
SensitiveValueFrequencyUpperBound string: Upper bound on the sensitive value frequencies of the equivalence classes in this bucket.

bucketSize String: Total number of equivalence classes in this bucket.
bucketValueCount String: Total number of distinct equivalence classes in this bucket.
bucketValues List<GooglePrivacyDlpV2LDiversityEquivalenceClassResponse>: Sample of equivalence classes in this bucket. The total number of classes returned per bucket is capped at 20.
sensitiveValueFrequencyLowerBound String: Lower bound on the sensitive value frequencies of the equivalence classes in this bucket.
sensitiveValueFrequencyUpperBound String: Upper bound on the sensitive value frequencies of the equivalence classes in this bucket.

bucketSize string: Total number of equivalence classes in this bucket.
bucketValueCount string: Total number of distinct equivalence classes in this bucket.
bucketValues GooglePrivacyDlpV2LDiversityEquivalenceClassResponse[]: Sample of equivalence classes in this bucket. The total number of classes returned per bucket is capped at 20.
sensitiveValueFrequencyLowerBound string: Lower bound on the sensitive value frequencies of the equivalence classes in this bucket.
sensitiveValueFrequencyUpperBound string: Upper bound on the sensitive value frequencies of the equivalence classes in this bucket.

bucket_size str: Total number of equivalence classes in this bucket.
bucket_value_count str: Total number of distinct equivalence classes in this bucket.
bucket_values Sequence[GooglePrivacyDlpV2LDiversityEquivalenceClassResponse]: Sample of equivalence classes in this bucket. The total number of classes returned per bucket is capped at 20.
sensitive_value_frequency_lower_bound str: Lower bound on the sensitive value frequencies of the equivalence classes in this bucket.
sensitive_value_frequency_upper_bound str: Upper bound on the sensitive value frequencies of the equivalence classes in this bucket.

bucketSize String: Total number of equivalence classes in this bucket.
bucketValueCount String: Total number of distinct equivalence classes in this bucket.
bucketValues List<Property Map>: Sample of equivalence classes in this bucket. The total number of classes returned per bucket is capped at 20.
sensitiveValueFrequencyLowerBound String: Lower bound on the sensitive value frequencies of the equivalence classes in this bucket.
sensitiveValueFrequencyUpperBound String: Upper bound on the sensitive value frequencies of the equivalence classes in this bucket.

GooglePrivacyDlpV2LDiversityResultResponse

SensitiveValueFrequencyHistogramBuckets List<Pulumi.GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2LDiversityHistogramBucketResponse>: Histogram of l-diversity equivalence class sensitive value frequencies.

SensitiveValueFrequencyHistogramBuckets []GooglePrivacyDlpV2LDiversityHistogramBucketResponse: Histogram of l-diversity equivalence class sensitive value frequencies.

sensitiveValueFrequencyHistogramBuckets List<GooglePrivacyDlpV2LDiversityHistogramBucketResponse>: Histogram of l-diversity equivalence class sensitive value frequencies.

sensitiveValueFrequencyHistogramBuckets GooglePrivacyDlpV2LDiversityHistogramBucketResponse[]: Histogram of l-diversity equivalence class sensitive value frequencies.

sensitive_value_frequency_histogram_buckets Sequence[GooglePrivacyDlpV2LDiversityHistogramBucketResponse]: Histogram of l-diversity equivalence class sensitive value frequencies.

sensitiveValueFrequencyHistogramBuckets List<Property Map>: Histogram of l-diversity equivalence class sensitive value frequencies.

GooglePrivacyDlpV2LikelihoodAdjustmentResponse

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

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

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

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

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

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

GooglePrivacyDlpV2NumericalStatsConfigResponse

Field Pulumi.GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2FieldIdResponse: Field to compute numerical stats on. Supported types are integer, float, date, datetime, timestamp, time.

Field GooglePrivacyDlpV2FieldIdResponse: Field to compute numerical stats on. Supported types are integer, float, date, datetime, timestamp, time.

field GooglePrivacyDlpV2FieldIdResponse: Field to compute numerical stats on. Supported types are integer, float, date, datetime, timestamp, time.

field GooglePrivacyDlpV2FieldIdResponse: Field to compute numerical stats on. Supported types are integer, float, date, datetime, timestamp, time.

field GooglePrivacyDlpV2FieldIdResponse: Field to compute numerical stats on. Supported types are integer, float, date, datetime, timestamp, time.

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

GooglePrivacyDlpV2NumericalStatsResultResponse

MaxValue Pulumi.GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2ValueResponse: Maximum value appearing in the column.
MinValue Pulumi.GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2ValueResponse: Minimum value appearing in the column.
QuantileValues List<Pulumi.GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2ValueResponse>: List of 99 values that partition the set of field values into 100 equal sized buckets.

MaxValue GooglePrivacyDlpV2ValueResponse: Maximum value appearing in the column.
MinValue GooglePrivacyDlpV2ValueResponse: Minimum value appearing in the column.
QuantileValues []GooglePrivacyDlpV2ValueResponse: List of 99 values that partition the set of field values into 100 equal sized buckets.

maxValue GooglePrivacyDlpV2ValueResponse: Maximum value appearing in the column.
minValue GooglePrivacyDlpV2ValueResponse: Minimum value appearing in the column.
quantileValues List<GooglePrivacyDlpV2ValueResponse>: List of 99 values that partition the set of field values into 100 equal sized buckets.

maxValue GooglePrivacyDlpV2ValueResponse: Maximum value appearing in the column.
minValue GooglePrivacyDlpV2ValueResponse: Minimum value appearing in the column.
quantileValues GooglePrivacyDlpV2ValueResponse[]: List of 99 values that partition the set of field values into 100 equal sized buckets.

max_value GooglePrivacyDlpV2ValueResponse: Maximum value appearing in the column.
min_value GooglePrivacyDlpV2ValueResponse: Minimum value appearing in the column.
quantile_values Sequence[GooglePrivacyDlpV2ValueResponse]: List of 99 values that partition the set of field values into 100 equal sized buckets.

maxValue Property Map: Maximum value appearing in the column.
minValue Property Map: Minimum value appearing in the column.
quantileValues List<Property Map>: List of 99 values that partition the set of field values into 100 equal sized buckets.

GooglePrivacyDlpV2OutputStorageConfigResponse

OutputSchema string: Schema used for writing the findings for Inspect jobs. This field is only used for Inspect and must be unspecified for Risk jobs. Columns are derived from the Finding object. If appending to an existing table, any columns from the predefined schema that are missing will be added. No columns in the existing table will be deleted. If unspecified, then all available columns will be used for a new table or an (existing) table with no schema, and no changes will be made to an existing table that has a schema. Only for use with external storage.
Table Pulumi.GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2BigQueryTableResponse: Store findings in an existing table or a new table in an existing dataset. If table_id is not set a new one will be generated for you with the following format: dlp_googleapis_yyyy_mm_dd_[dlp_job_id]. Pacific time zone will be used for generating the date details. For Inspect, each column in an existing output table must have the same name, type, and mode of a field in the Finding object. For Risk, an existing output table should be the output of a previous Risk analysis job run on the same source table, with the same privacy metric and quasi-identifiers. Risk jobs that analyze the same table but compute a different privacy metric, or use different sets of quasi-identifiers, cannot store their results in the same table.

OutputSchema string: Schema used for writing the findings for Inspect jobs. This field is only used for Inspect and must be unspecified for Risk jobs. Columns are derived from the Finding object. If appending to an existing table, any columns from the predefined schema that are missing will be added. No columns in the existing table will be deleted. If unspecified, then all available columns will be used for a new table or an (existing) table with no schema, and no changes will be made to an existing table that has a schema. Only for use with external storage.
Table GooglePrivacyDlpV2BigQueryTableResponse: Store findings in an existing table or a new table in an existing dataset. If table_id is not set a new one will be generated for you with the following format: dlp_googleapis_yyyy_mm_dd_[dlp_job_id]. Pacific time zone will be used for generating the date details. For Inspect, each column in an existing output table must have the same name, type, and mode of a field in the Finding object. For Risk, an existing output table should be the output of a previous Risk analysis job run on the same source table, with the same privacy metric and quasi-identifiers. Risk jobs that analyze the same table but compute a different privacy metric, or use different sets of quasi-identifiers, cannot store their results in the same table.

outputSchema String: Schema used for writing the findings for Inspect jobs. This field is only used for Inspect and must be unspecified for Risk jobs. Columns are derived from the Finding object. If appending to an existing table, any columns from the predefined schema that are missing will be added. No columns in the existing table will be deleted. If unspecified, then all available columns will be used for a new table or an (existing) table with no schema, and no changes will be made to an existing table that has a schema. Only for use with external storage.
table GooglePrivacyDlpV2BigQueryTableResponse: Store findings in an existing table or a new table in an existing dataset. If table_id is not set a new one will be generated for you with the following format: dlp_googleapis_yyyy_mm_dd_[dlp_job_id]. Pacific time zone will be used for generating the date details. For Inspect, each column in an existing output table must have the same name, type, and mode of a field in the Finding object. For Risk, an existing output table should be the output of a previous Risk analysis job run on the same source table, with the same privacy metric and quasi-identifiers. Risk jobs that analyze the same table but compute a different privacy metric, or use different sets of quasi-identifiers, cannot store their results in the same table.

outputSchema string: Schema used for writing the findings for Inspect jobs. This field is only used for Inspect and must be unspecified for Risk jobs. Columns are derived from the Finding object. If appending to an existing table, any columns from the predefined schema that are missing will be added. No columns in the existing table will be deleted. If unspecified, then all available columns will be used for a new table or an (existing) table with no schema, and no changes will be made to an existing table that has a schema. Only for use with external storage.
table GooglePrivacyDlpV2BigQueryTableResponse: Store findings in an existing table or a new table in an existing dataset. If table_id is not set a new one will be generated for you with the following format: dlp_googleapis_yyyy_mm_dd_[dlp_job_id]. Pacific time zone will be used for generating the date details. For Inspect, each column in an existing output table must have the same name, type, and mode of a field in the Finding object. For Risk, an existing output table should be the output of a previous Risk analysis job run on the same source table, with the same privacy metric and quasi-identifiers. Risk jobs that analyze the same table but compute a different privacy metric, or use different sets of quasi-identifiers, cannot store their results in the same table.

output_schema str: Schema used for writing the findings for Inspect jobs. This field is only used for Inspect and must be unspecified for Risk jobs. Columns are derived from the Finding object. If appending to an existing table, any columns from the predefined schema that are missing will be added. No columns in the existing table will be deleted. If unspecified, then all available columns will be used for a new table or an (existing) table with no schema, and no changes will be made to an existing table that has a schema. Only for use with external storage.
table GooglePrivacyDlpV2BigQueryTableResponse: Store findings in an existing table or a new table in an existing dataset. If table_id is not set a new one will be generated for you with the following format: dlp_googleapis_yyyy_mm_dd_[dlp_job_id]. Pacific time zone will be used for generating the date details. For Inspect, each column in an existing output table must have the same name, type, and mode of a field in the Finding object. For Risk, an existing output table should be the output of a previous Risk analysis job run on the same source table, with the same privacy metric and quasi-identifiers. Risk jobs that analyze the same table but compute a different privacy metric, or use different sets of quasi-identifiers, cannot store their results in the same table.

outputSchema String: Schema used for writing the findings for Inspect jobs. This field is only used for Inspect and must be unspecified for Risk jobs. Columns are derived from the Finding object. If appending to an existing table, any columns from the predefined schema that are missing will be added. No columns in the existing table will be deleted. If unspecified, then all available columns will be used for a new table or an (existing) table with no schema, and no changes will be made to an existing table that has a schema. Only for use with external storage.
table Property Map: Store findings in an existing table or a new table in an existing dataset. If table_id is not set a new one will be generated for you with the following format: dlp_googleapis_yyyy_mm_dd_[dlp_job_id]. Pacific time zone will be used for generating the date details. For Inspect, each column in an existing output table must have the same name, type, and mode of a field in the Finding object. For Risk, an existing output table should be the output of a previous Risk analysis job run on the same source table, with the same privacy metric and quasi-identifiers. Risk jobs that analyze the same table but compute a different privacy metric, or use different sets of quasi-identifiers, cannot store their results in the same table.

GooglePrivacyDlpV2PartitionIdResponse

NamespaceId string: If not empty, the ID of the namespace to which the entities belong.
Project string: The ID of the project to which the entities belong.

NamespaceId string: If not empty, the ID of the namespace to which the entities belong.
Project string: The ID of the project to which the entities belong.

namespaceId String: If not empty, the ID of the namespace to which the entities belong.
project String: The ID of the project to which the entities belong.

namespaceId string: If not empty, the ID of the namespace to which the entities belong.
project string: The ID of the project to which the entities belong.

namespace_id str: If not empty, the ID of the namespace to which the entities belong.
project str: The ID of the project to which the entities belong.

namespaceId String: If not empty, the ID of the namespace to which the entities belong.
project String: The ID of the project to which the entities belong.

GooglePrivacyDlpV2PrimitiveTransformationResponse

BucketingConfig Pulumi.GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2BucketingConfigResponse: Bucketing
CharacterMaskConfig Pulumi.GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2CharacterMaskConfigResponse: Mask
CryptoDeterministicConfig Pulumi.GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2CryptoDeterministicConfigResponse: Deterministic Crypto
CryptoHashConfig Pulumi.GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2CryptoHashConfigResponse: Crypto
CryptoReplaceFfxFpeConfig Pulumi.GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2CryptoReplaceFfxFpeConfigResponse: Ffx-Fpe
DateShiftConfig Pulumi.GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2DateShiftConfigResponse: Date Shift
FixedSizeBucketingConfig Pulumi.GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2FixedSizeBucketingConfigResponse: Fixed size bucketing
RedactConfig Pulumi.GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2RedactConfigResponse: Redact
ReplaceConfig Pulumi.GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2ReplaceValueConfigResponse: Replace with a specified value.
ReplaceDictionaryConfig Pulumi.GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2ReplaceDictionaryConfigResponse: Replace with a value randomly drawn (with replacement) from a dictionary.
ReplaceWithInfoTypeConfig Pulumi.GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2ReplaceWithInfoTypeConfigResponse: Replace with infotype
TimePartConfig Pulumi.GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2TimePartConfigResponse: Time extraction

BucketingConfig GooglePrivacyDlpV2BucketingConfigResponse: Bucketing
CharacterMaskConfig GooglePrivacyDlpV2CharacterMaskConfigResponse: Mask
CryptoDeterministicConfig GooglePrivacyDlpV2CryptoDeterministicConfigResponse: Deterministic Crypto
CryptoHashConfig GooglePrivacyDlpV2CryptoHashConfigResponse: Crypto
CryptoReplaceFfxFpeConfig GooglePrivacyDlpV2CryptoReplaceFfxFpeConfigResponse: Ffx-Fpe
DateShiftConfig GooglePrivacyDlpV2DateShiftConfigResponse: Date Shift
FixedSizeBucketingConfig GooglePrivacyDlpV2FixedSizeBucketingConfigResponse: Fixed size bucketing
RedactConfig GooglePrivacyDlpV2RedactConfigResponse: Redact
ReplaceConfig GooglePrivacyDlpV2ReplaceValueConfigResponse: Replace with a specified value.
ReplaceDictionaryConfig GooglePrivacyDlpV2ReplaceDictionaryConfigResponse: Replace with a value randomly drawn (with replacement) from a dictionary.
ReplaceWithInfoTypeConfig GooglePrivacyDlpV2ReplaceWithInfoTypeConfigResponse: Replace with infotype
TimePartConfig GooglePrivacyDlpV2TimePartConfigResponse: Time extraction

bucketingConfig GooglePrivacyDlpV2BucketingConfigResponse: Bucketing
characterMaskConfig GooglePrivacyDlpV2CharacterMaskConfigResponse: Mask
cryptoDeterministicConfig GooglePrivacyDlpV2CryptoDeterministicConfigResponse: Deterministic Crypto
cryptoHashConfig GooglePrivacyDlpV2CryptoHashConfigResponse: Crypto
cryptoReplaceFfxFpeConfig GooglePrivacyDlpV2CryptoReplaceFfxFpeConfigResponse: Ffx-Fpe
dateShiftConfig GooglePrivacyDlpV2DateShiftConfigResponse: Date Shift
fixedSizeBucketingConfig GooglePrivacyDlpV2FixedSizeBucketingConfigResponse: Fixed size bucketing
redactConfig GooglePrivacyDlpV2RedactConfigResponse: Redact
replaceConfig GooglePrivacyDlpV2ReplaceValueConfigResponse: Replace with a specified value.
replaceDictionaryConfig GooglePrivacyDlpV2ReplaceDictionaryConfigResponse: Replace with a value randomly drawn (with replacement) from a dictionary.
replaceWithInfoTypeConfig GooglePrivacyDlpV2ReplaceWithInfoTypeConfigResponse: Replace with infotype
timePartConfig GooglePrivacyDlpV2TimePartConfigResponse: Time extraction

bucketingConfig GooglePrivacyDlpV2BucketingConfigResponse: Bucketing
characterMaskConfig GooglePrivacyDlpV2CharacterMaskConfigResponse: Mask
cryptoDeterministicConfig GooglePrivacyDlpV2CryptoDeterministicConfigResponse: Deterministic Crypto
cryptoHashConfig GooglePrivacyDlpV2CryptoHashConfigResponse: Crypto
cryptoReplaceFfxFpeConfig GooglePrivacyDlpV2CryptoReplaceFfxFpeConfigResponse: Ffx-Fpe
dateShiftConfig GooglePrivacyDlpV2DateShiftConfigResponse: Date Shift
fixedSizeBucketingConfig GooglePrivacyDlpV2FixedSizeBucketingConfigResponse: Fixed size bucketing
redactConfig GooglePrivacyDlpV2RedactConfigResponse: Redact
replaceConfig GooglePrivacyDlpV2ReplaceValueConfigResponse: Replace with a specified value.
replaceDictionaryConfig GooglePrivacyDlpV2ReplaceDictionaryConfigResponse: Replace with a value randomly drawn (with replacement) from a dictionary.
replaceWithInfoTypeConfig GooglePrivacyDlpV2ReplaceWithInfoTypeConfigResponse: Replace with infotype
timePartConfig GooglePrivacyDlpV2TimePartConfigResponse: Time extraction

bucketing_config GooglePrivacyDlpV2BucketingConfigResponse: Bucketing
character_mask_config GooglePrivacyDlpV2CharacterMaskConfigResponse: Mask
crypto_deterministic_config GooglePrivacyDlpV2CryptoDeterministicConfigResponse: Deterministic Crypto
crypto_hash_config GooglePrivacyDlpV2CryptoHashConfigResponse: Crypto
crypto_replace_ffx_fpe_config GooglePrivacyDlpV2CryptoReplaceFfxFpeConfigResponse: Ffx-Fpe
date_shift_config GooglePrivacyDlpV2DateShiftConfigResponse: Date Shift
fixed_size_bucketing_config GooglePrivacyDlpV2FixedSizeBucketingConfigResponse: Fixed size bucketing
redact_config GooglePrivacyDlpV2RedactConfigResponse: Redact
replace_config GooglePrivacyDlpV2ReplaceValueConfigResponse: Replace with a specified value.
replace_dictionary_config GooglePrivacyDlpV2ReplaceDictionaryConfigResponse: Replace with a value randomly drawn (with replacement) from a dictionary.
replace_with_info_type_config GooglePrivacyDlpV2ReplaceWithInfoTypeConfigResponse: Replace with infotype
time_part_config GooglePrivacyDlpV2TimePartConfigResponse: Time extraction

bucketingConfig Property Map: Bucketing
characterMaskConfig Property Map: Mask
cryptoDeterministicConfig Property Map: Deterministic Crypto
cryptoHashConfig Property Map: Crypto
cryptoReplaceFfxFpeConfig Property Map: Ffx-Fpe
dateShiftConfig Property Map: Date Shift
fixedSizeBucketingConfig Property Map: Fixed size bucketing
redactConfig Property Map: Redact
replaceConfig Property Map: Replace with a specified value.
replaceDictionaryConfig Property Map: Replace with a value randomly drawn (with replacement) from a dictionary.
replaceWithInfoTypeConfig Property Map: Replace with infotype
timePartConfig Property Map: Time extraction

GooglePrivacyDlpV2PrivacyMetricResponse

CategoricalStatsConfig Pulumi.GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2CategoricalStatsConfigResponse: Categorical stats
DeltaPresenceEstimationConfig Pulumi.GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2DeltaPresenceEstimationConfigResponse: delta-presence
KAnonymityConfig Pulumi.GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2KAnonymityConfigResponse: K-anonymity
KMapEstimationConfig Pulumi.GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2KMapEstimationConfigResponse: k-map
LDiversityConfig Pulumi.GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2LDiversityConfigResponse: l-diversity
NumericalStatsConfig Pulumi.GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2NumericalStatsConfigResponse: Numerical stats

CategoricalStatsConfig GooglePrivacyDlpV2CategoricalStatsConfigResponse: Categorical stats
DeltaPresenceEstimationConfig GooglePrivacyDlpV2DeltaPresenceEstimationConfigResponse: delta-presence
KAnonymityConfig GooglePrivacyDlpV2KAnonymityConfigResponse: K-anonymity
KMapEstimationConfig GooglePrivacyDlpV2KMapEstimationConfigResponse: k-map
LDiversityConfig GooglePrivacyDlpV2LDiversityConfigResponse: l-diversity
NumericalStatsConfig GooglePrivacyDlpV2NumericalStatsConfigResponse: Numerical stats

categoricalStatsConfig GooglePrivacyDlpV2CategoricalStatsConfigResponse: Categorical stats
deltaPresenceEstimationConfig GooglePrivacyDlpV2DeltaPresenceEstimationConfigResponse: delta-presence
kAnonymityConfig GooglePrivacyDlpV2KAnonymityConfigResponse: K-anonymity
kMapEstimationConfig GooglePrivacyDlpV2KMapEstimationConfigResponse: k-map
lDiversityConfig GooglePrivacyDlpV2LDiversityConfigResponse: l-diversity
numericalStatsConfig GooglePrivacyDlpV2NumericalStatsConfigResponse: Numerical stats

categoricalStatsConfig GooglePrivacyDlpV2CategoricalStatsConfigResponse: Categorical stats
deltaPresenceEstimationConfig GooglePrivacyDlpV2DeltaPresenceEstimationConfigResponse: delta-presence
kAnonymityConfig GooglePrivacyDlpV2KAnonymityConfigResponse: K-anonymity
kMapEstimationConfig GooglePrivacyDlpV2KMapEstimationConfigResponse: k-map
lDiversityConfig GooglePrivacyDlpV2LDiversityConfigResponse: l-diversity
numericalStatsConfig GooglePrivacyDlpV2NumericalStatsConfigResponse: Numerical stats

categorical_stats_config GooglePrivacyDlpV2CategoricalStatsConfigResponse: Categorical stats
delta_presence_estimation_config GooglePrivacyDlpV2DeltaPresenceEstimationConfigResponse: delta-presence
k_anonymity_config GooglePrivacyDlpV2KAnonymityConfigResponse: K-anonymity
k_map_estimation_config GooglePrivacyDlpV2KMapEstimationConfigResponse: k-map
l_diversity_config GooglePrivacyDlpV2LDiversityConfigResponse: l-diversity
numerical_stats_config GooglePrivacyDlpV2NumericalStatsConfigResponse: Numerical stats

categoricalStatsConfig Property Map: Categorical stats
deltaPresenceEstimationConfig Property Map: delta-presence
kAnonymityConfig Property Map: K-anonymity
kMapEstimationConfig Property Map: k-map
lDiversityConfig Property Map: l-diversity
numericalStatsConfig Property Map: Numerical stats

GooglePrivacyDlpV2ProximityResponse

WindowAfter int: Number of characters after the finding to consider.
WindowBefore int: Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values).

WindowAfter int: Number of characters after the finding to consider.
WindowBefore int: Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values).

windowAfter Integer: Number of characters after the finding to consider.
windowBefore Integer: Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values).

windowAfter number: Number of characters after the finding to consider.
windowBefore number: Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values).

window_after int: Number of characters after the finding to consider.
window_before int: Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values).

windowAfter Number: Number of characters after the finding to consider.
windowBefore Number: Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values).

GooglePrivacyDlpV2PublishToPubSubResponse

Topic string: Cloud Pub/Sub topic to send notifications to. The topic must have given publishing access rights to the DLP API service account executing the long running DlpJob sending the notifications. Format is projects/{project}/topics/{topic}.

Topic string: Cloud Pub/Sub topic to send notifications to. The topic must have given publishing access rights to the DLP API service account executing the long running DlpJob sending the notifications. Format is projects/{project}/topics/{topic}.

topic String: Cloud Pub/Sub topic to send notifications to. The topic must have given publishing access rights to the DLP API service account executing the long running DlpJob sending the notifications. Format is projects/{project}/topics/{topic}.

topic string: Cloud Pub/Sub topic to send notifications to. The topic must have given publishing access rights to the DLP API service account executing the long running DlpJob sending the notifications. Format is projects/{project}/topics/{topic}.

topic str: Cloud Pub/Sub topic to send notifications to. The topic must have given publishing access rights to the DLP API service account executing the long running DlpJob sending the notifications. Format is projects/{project}/topics/{topic}.

topic String: Cloud Pub/Sub topic to send notifications to. The topic must have given publishing access rights to the DLP API service account executing the long running DlpJob sending the notifications. Format is projects/{project}/topics/{topic}.

GooglePrivacyDlpV2QuasiIdFieldResponse

CustomTag string: A auxiliary field.
Field Pulumi.GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2FieldIdResponse: Identifies the column.

CustomTag string: A auxiliary field.
Field GooglePrivacyDlpV2FieldIdResponse: Identifies the column.

customTag String: A auxiliary field.
field GooglePrivacyDlpV2FieldIdResponse: Identifies the column.

customTag string: A auxiliary field.
field GooglePrivacyDlpV2FieldIdResponse: Identifies the column.

custom_tag str: A auxiliary field.
field GooglePrivacyDlpV2FieldIdResponse: Identifies the column.

customTag String: A auxiliary field.
field Property Map: Identifies the column.

GooglePrivacyDlpV2QuasiIdResponse

CustomTag string: A column can be tagged with a custom tag. In this case, the user must indicate an auxiliary table that contains statistical information on the possible values of this column (below).
Field Pulumi.GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2FieldIdResponse: Identifies the column.
Inferred Pulumi.GoogleNative.DLP.V2.Inputs.GoogleProtobufEmptyResponse: If no semantic tag is indicated, we infer the statistical model from the distribution of values in the input data
InfoType Pulumi.GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2InfoTypeResponse: A column can be tagged with a InfoType to use the relevant public dataset as a statistical model of population, if available. We currently support US ZIP codes, region codes, ages and genders. To programmatically obtain the list of supported InfoTypes, use ListInfoTypes with the supported_by=RISK_ANALYSIS filter.

CustomTag string: A column can be tagged with a custom tag. In this case, the user must indicate an auxiliary table that contains statistical information on the possible values of this column (below).
Field GooglePrivacyDlpV2FieldIdResponse: Identifies the column.
Inferred GoogleProtobufEmptyResponse: If no semantic tag is indicated, we infer the statistical model from the distribution of values in the input data
InfoType GooglePrivacyDlpV2InfoTypeResponse: A column can be tagged with a InfoType to use the relevant public dataset as a statistical model of population, if available. We currently support US ZIP codes, region codes, ages and genders. To programmatically obtain the list of supported InfoTypes, use ListInfoTypes with the supported_by=RISK_ANALYSIS filter.

customTag String: A column can be tagged with a custom tag. In this case, the user must indicate an auxiliary table that contains statistical information on the possible values of this column (below).
field GooglePrivacyDlpV2FieldIdResponse: Identifies the column.
inferred GoogleProtobufEmptyResponse: If no semantic tag is indicated, we infer the statistical model from the distribution of values in the input data
infoType GooglePrivacyDlpV2InfoTypeResponse: A column can be tagged with a InfoType to use the relevant public dataset as a statistical model of population, if available. We currently support US ZIP codes, region codes, ages and genders. To programmatically obtain the list of supported InfoTypes, use ListInfoTypes with the supported_by=RISK_ANALYSIS filter.

customTag string: A column can be tagged with a custom tag. In this case, the user must indicate an auxiliary table that contains statistical information on the possible values of this column (below).
field GooglePrivacyDlpV2FieldIdResponse: Identifies the column.
inferred GoogleProtobufEmptyResponse: If no semantic tag is indicated, we infer the statistical model from the distribution of values in the input data
infoType GooglePrivacyDlpV2InfoTypeResponse: A column can be tagged with a InfoType to use the relevant public dataset as a statistical model of population, if available. We currently support US ZIP codes, region codes, ages and genders. To programmatically obtain the list of supported InfoTypes, use ListInfoTypes with the supported_by=RISK_ANALYSIS filter.

custom_tag str: A column can be tagged with a custom tag. In this case, the user must indicate an auxiliary table that contains statistical information on the possible values of this column (below).
field GooglePrivacyDlpV2FieldIdResponse: Identifies the column.
inferred GoogleProtobufEmptyResponse: If no semantic tag is indicated, we infer the statistical model from the distribution of values in the input data
info_type GooglePrivacyDlpV2InfoTypeResponse: A column can be tagged with a InfoType to use the relevant public dataset as a statistical model of population, if available. We currently support US ZIP codes, region codes, ages and genders. To programmatically obtain the list of supported InfoTypes, use ListInfoTypes with the supported_by=RISK_ANALYSIS filter.

customTag String: A column can be tagged with a custom tag. In this case, the user must indicate an auxiliary table that contains statistical information on the possible values of this column (below).
field Property Map: Identifies the column.
inferred Property Map: If no semantic tag is indicated, we infer the statistical model from the distribution of values in the input data
infoType Property Map: A column can be tagged with a InfoType to use the relevant public dataset as a statistical model of population, if available. We currently support US ZIP codes, region codes, ages and genders. To programmatically obtain the list of supported InfoTypes, use ListInfoTypes with the supported_by=RISK_ANALYSIS filter.

GooglePrivacyDlpV2QuasiIdentifierFieldResponse

CustomTag string: A column can be tagged with a custom tag. In this case, the user must indicate an auxiliary table that contains statistical information on the possible values of this column (below).
Field Pulumi.GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2FieldIdResponse: Identifies the column.

CustomTag string: A column can be tagged with a custom tag. In this case, the user must indicate an auxiliary table that contains statistical information on the possible values of this column (below).
Field GooglePrivacyDlpV2FieldIdResponse: Identifies the column.

customTag String: A column can be tagged with a custom tag. In this case, the user must indicate an auxiliary table that contains statistical information on the possible values of this column (below).
field GooglePrivacyDlpV2FieldIdResponse: Identifies the column.

customTag string: A column can be tagged with a custom tag. In this case, the user must indicate an auxiliary table that contains statistical information on the possible values of this column (below).
field GooglePrivacyDlpV2FieldIdResponse: Identifies the column.

custom_tag str: A column can be tagged with a custom tag. In this case, the user must indicate an auxiliary table that contains statistical information on the possible values of this column (below).
field GooglePrivacyDlpV2FieldIdResponse: Identifies the column.

customTag String: A column can be tagged with a custom tag. In this case, the user must indicate an auxiliary table that contains statistical information on the possible values of this column (below).
field Property Map: Identifies the column.

GooglePrivacyDlpV2RecordConditionResponse

Expressions Pulumi.GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2ExpressionsResponse: An expression.

Expressions GooglePrivacyDlpV2ExpressionsResponse: An expression.

expressions GooglePrivacyDlpV2ExpressionsResponse: An expression.

expressions GooglePrivacyDlpV2ExpressionsResponse: An expression.

expressions GooglePrivacyDlpV2ExpressionsResponse: An expression.

expressions Property Map: An expression.

GooglePrivacyDlpV2RecordSuppressionResponse

Condition Pulumi.GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2RecordConditionResponse: A condition that when it evaluates to true will result in the record being evaluated to be suppressed from the transformed content.

Condition GooglePrivacyDlpV2RecordConditionResponse: A condition that when it evaluates to true will result in the record being evaluated to be suppressed from the transformed content.

condition GooglePrivacyDlpV2RecordConditionResponse: A condition that when it evaluates to true will result in the record being evaluated to be suppressed from the transformed content.

condition GooglePrivacyDlpV2RecordConditionResponse: A condition that when it evaluates to true will result in the record being evaluated to be suppressed from the transformed content.

condition GooglePrivacyDlpV2RecordConditionResponse: A condition that when it evaluates to true will result in the record being evaluated to be suppressed from the transformed content.

condition Property Map: A condition that when it evaluates to true will result in the record being evaluated to be suppressed from the transformed content.

GooglePrivacyDlpV2RecordTransformationsResponse

FieldTransformations List<Pulumi.GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2FieldTransformationResponse>: Transform the record by applying various field transformations.
RecordSuppressions List<Pulumi.GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2RecordSuppressionResponse>: Configuration defining which records get suppressed entirely. Records that match any suppression rule are omitted from the output.

FieldTransformations []GooglePrivacyDlpV2FieldTransformationResponse: Transform the record by applying various field transformations.
RecordSuppressions []GooglePrivacyDlpV2RecordSuppressionResponse: Configuration defining which records get suppressed entirely. Records that match any suppression rule are omitted from the output.

fieldTransformations List<GooglePrivacyDlpV2FieldTransformationResponse>: Transform the record by applying various field transformations.
recordSuppressions List<GooglePrivacyDlpV2RecordSuppressionResponse>: Configuration defining which records get suppressed entirely. Records that match any suppression rule are omitted from the output.

fieldTransformations GooglePrivacyDlpV2FieldTransformationResponse[]: Transform the record by applying various field transformations.
recordSuppressions GooglePrivacyDlpV2RecordSuppressionResponse[]: Configuration defining which records get suppressed entirely. Records that match any suppression rule are omitted from the output.

field_transformations Sequence[GooglePrivacyDlpV2FieldTransformationResponse]: Transform the record by applying various field transformations.
record_suppressions Sequence[GooglePrivacyDlpV2RecordSuppressionResponse]: Configuration defining which records get suppressed entirely. Records that match any suppression rule are omitted from the output.

fieldTransformations List<Property Map>: Transform the record by applying various field transformations.
recordSuppressions List<Property Map>: Configuration defining which records get suppressed entirely. Records that match any suppression rule are omitted from the output.

GooglePrivacyDlpV2RegexResponse

GroupIndexes List<int>: The index of the submatch to extract as findings. When not specified, the entire match is returned. No more than 3 may be included.
Pattern string: Pattern defining the regular expression. Its syntax (https://github.com/google/re2/wiki/Syntax) can be found under the google/re2 repository on GitHub.

GroupIndexes []int: The index of the submatch to extract as findings. When not specified, the entire match is returned. No more than 3 may be included.
Pattern string: Pattern defining the regular expression. Its syntax (https://github.com/google/re2/wiki/Syntax) can be found under the google/re2 repository on GitHub.

groupIndexes List<Integer>: The index of the submatch to extract as findings. When not specified, the entire match is returned. No more than 3 may be included.
pattern String: Pattern defining the regular expression. Its syntax (https://github.com/google/re2/wiki/Syntax) can be found under the google/re2 repository on GitHub.

groupIndexes number[]: The index of the submatch to extract as findings. When not specified, the entire match is returned. No more than 3 may be included.
pattern string: Pattern defining the regular expression. Its syntax (https://github.com/google/re2/wiki/Syntax) can be found under the google/re2 repository on GitHub.

group_indexes Sequence[int]: The index of the submatch to extract as findings. When not specified, the entire match is returned. No more than 3 may be included.
pattern str: Pattern defining the regular expression. Its syntax (https://github.com/google/re2/wiki/Syntax) can be found under the google/re2 repository on GitHub.

groupIndexes List<Number>: The index of the submatch to extract as findings. When not specified, the entire match is returned. No more than 3 may be included.
pattern String: Pattern defining the regular expression. Its syntax (https://github.com/google/re2/wiki/Syntax) can be found under the google/re2 repository on GitHub.

GooglePrivacyDlpV2ReplaceDictionaryConfigResponse

WordList Pulumi.GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2WordListResponse: A list of words to select from for random replacement. The limits page contains details about the size limits of dictionaries.

WordList GooglePrivacyDlpV2WordListResponse: A list of words to select from for random replacement. The limits page contains details about the size limits of dictionaries.

wordList GooglePrivacyDlpV2WordListResponse: A list of words to select from for random replacement. The limits page contains details about the size limits of dictionaries.

wordList GooglePrivacyDlpV2WordListResponse: A list of words to select from for random replacement. The limits page contains details about the size limits of dictionaries.

word_list GooglePrivacyDlpV2WordListResponse: A list of words to select from for random replacement. The limits page contains details about the size limits of dictionaries.

wordList Property Map: A list of words to select from for random replacement. The limits page contains details about the size limits of dictionaries.

GooglePrivacyDlpV2ReplaceValueConfigResponse

NewValue Pulumi.GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2ValueResponse: Value to replace it with.

NewValue GooglePrivacyDlpV2ValueResponse: Value to replace it with.

newValue GooglePrivacyDlpV2ValueResponse: Value to replace it with.

newValue GooglePrivacyDlpV2ValueResponse: Value to replace it with.

new_value GooglePrivacyDlpV2ValueResponse: Value to replace it with.

newValue Property Map: Value to replace it with.

GooglePrivacyDlpV2RequestedDeidentifyOptionsResponse

SnapshotDeidentifyTemplate Pulumi.GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2DeidentifyTemplateResponse: Snapshot of the state of the DeidentifyTemplate from the Deidentify action at the time this job was run.
SnapshotImageRedactTemplate Pulumi.GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2DeidentifyTemplateResponse: Snapshot of the state of the image transformation DeidentifyTemplate from the Deidentify action at the time this job was run.
SnapshotStructuredDeidentifyTemplate Pulumi.GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2DeidentifyTemplateResponse: Snapshot of the state of the structured DeidentifyTemplate from the Deidentify action at the time this job was run.

SnapshotDeidentifyTemplate GooglePrivacyDlpV2DeidentifyTemplateResponse: Snapshot of the state of the DeidentifyTemplate from the Deidentify action at the time this job was run.
SnapshotImageRedactTemplate GooglePrivacyDlpV2DeidentifyTemplateResponse: Snapshot of the state of the image transformation DeidentifyTemplate from the Deidentify action at the time this job was run.
SnapshotStructuredDeidentifyTemplate GooglePrivacyDlpV2DeidentifyTemplateResponse: Snapshot of the state of the structured DeidentifyTemplate from the Deidentify action at the time this job was run.

snapshotDeidentifyTemplate GooglePrivacyDlpV2DeidentifyTemplateResponse: Snapshot of the state of the DeidentifyTemplate from the Deidentify action at the time this job was run.
snapshotImageRedactTemplate GooglePrivacyDlpV2DeidentifyTemplateResponse: Snapshot of the state of the image transformation DeidentifyTemplate from the Deidentify action at the time this job was run.
snapshotStructuredDeidentifyTemplate GooglePrivacyDlpV2DeidentifyTemplateResponse: Snapshot of the state of the structured DeidentifyTemplate from the Deidentify action at the time this job was run.

snapshotDeidentifyTemplate GooglePrivacyDlpV2DeidentifyTemplateResponse: Snapshot of the state of the DeidentifyTemplate from the Deidentify action at the time this job was run.
snapshotImageRedactTemplate GooglePrivacyDlpV2DeidentifyTemplateResponse: Snapshot of the state of the image transformation DeidentifyTemplate from the Deidentify action at the time this job was run.
snapshotStructuredDeidentifyTemplate GooglePrivacyDlpV2DeidentifyTemplateResponse: Snapshot of the state of the structured DeidentifyTemplate from the Deidentify action at the time this job was run.

snapshot_deidentify_template GooglePrivacyDlpV2DeidentifyTemplateResponse: Snapshot of the state of the DeidentifyTemplate from the Deidentify action at the time this job was run.
snapshot_image_redact_template GooglePrivacyDlpV2DeidentifyTemplateResponse: Snapshot of the state of the image transformation DeidentifyTemplate from the Deidentify action at the time this job was run.
snapshot_structured_deidentify_template GooglePrivacyDlpV2DeidentifyTemplateResponse: Snapshot of the state of the structured DeidentifyTemplate from the Deidentify action at the time this job was run.

snapshotDeidentifyTemplate Property Map: Snapshot of the state of the DeidentifyTemplate from the Deidentify action at the time this job was run.
snapshotImageRedactTemplate Property Map: Snapshot of the state of the image transformation DeidentifyTemplate from the Deidentify action at the time this job was run.
snapshotStructuredDeidentifyTemplate Property Map: Snapshot of the state of the structured DeidentifyTemplate from the Deidentify action at the time this job was run.

GooglePrivacyDlpV2RequestedOptionsResponse

JobConfig Pulumi.GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2InspectJobConfigResponse: Inspect config.
SnapshotInspectTemplate Pulumi.GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2InspectTemplateResponse: If run with an InspectTemplate, a snapshot of its state at the time of this run.

JobConfig GooglePrivacyDlpV2InspectJobConfigResponse: Inspect config.
SnapshotInspectTemplate GooglePrivacyDlpV2InspectTemplateResponse: If run with an InspectTemplate, a snapshot of its state at the time of this run.

jobConfig GooglePrivacyDlpV2InspectJobConfigResponse: Inspect config.
snapshotInspectTemplate GooglePrivacyDlpV2InspectTemplateResponse: If run with an InspectTemplate, a snapshot of its state at the time of this run.

jobConfig GooglePrivacyDlpV2InspectJobConfigResponse: Inspect config.
snapshotInspectTemplate GooglePrivacyDlpV2InspectTemplateResponse: If run with an InspectTemplate, a snapshot of its state at the time of this run.

job_config GooglePrivacyDlpV2InspectJobConfigResponse: Inspect config.
snapshot_inspect_template GooglePrivacyDlpV2InspectTemplateResponse: If run with an InspectTemplate, a snapshot of its state at the time of this run.

jobConfig Property Map: Inspect config.
snapshotInspectTemplate Property Map: If run with an InspectTemplate, a snapshot of its state at the time of this run.

GooglePrivacyDlpV2RequestedRiskAnalysisOptionsResponse

JobConfig Pulumi.GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2RiskAnalysisJobConfigResponse: The job config for the risk job.

JobConfig GooglePrivacyDlpV2RiskAnalysisJobConfigResponse: The job config for the risk job.

jobConfig GooglePrivacyDlpV2RiskAnalysisJobConfigResponse: The job config for the risk job.

jobConfig GooglePrivacyDlpV2RiskAnalysisJobConfigResponse: The job config for the risk job.

job_config GooglePrivacyDlpV2RiskAnalysisJobConfigResponse: The job config for the risk job.

jobConfig Property Map: The job config for the risk job.

GooglePrivacyDlpV2ResultResponse

HybridStats Pulumi.GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2HybridInspectStatisticsResponse: Statistics related to the processing of hybrid inspect.
InfoTypeStats List<Pulumi.GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2InfoTypeStatsResponse>: Statistics of how many instances of each info type were found during inspect job.
ProcessedBytes string: Total size in bytes that were processed.
TotalEstimatedBytes string: Estimate of the number of bytes to process.

HybridStats GooglePrivacyDlpV2HybridInspectStatisticsResponse: Statistics related to the processing of hybrid inspect.
InfoTypeStats []GooglePrivacyDlpV2InfoTypeStatsResponse: Statistics of how many instances of each info type were found during inspect job.
ProcessedBytes string: Total size in bytes that were processed.
TotalEstimatedBytes string: Estimate of the number of bytes to process.

hybridStats GooglePrivacyDlpV2HybridInspectStatisticsResponse: Statistics related to the processing of hybrid inspect.
infoTypeStats List<GooglePrivacyDlpV2InfoTypeStatsResponse>: Statistics of how many instances of each info type were found during inspect job.
processedBytes String: Total size in bytes that were processed.
totalEstimatedBytes String: Estimate of the number of bytes to process.

hybridStats GooglePrivacyDlpV2HybridInspectStatisticsResponse: Statistics related to the processing of hybrid inspect.
infoTypeStats GooglePrivacyDlpV2InfoTypeStatsResponse[]: Statistics of how many instances of each info type were found during inspect job.
processedBytes string: Total size in bytes that were processed.
totalEstimatedBytes string: Estimate of the number of bytes to process.

hybrid_stats GooglePrivacyDlpV2HybridInspectStatisticsResponse: Statistics related to the processing of hybrid inspect.
info_type_stats Sequence[GooglePrivacyDlpV2InfoTypeStatsResponse]: Statistics of how many instances of each info type were found during inspect job.
processed_bytes str: Total size in bytes that were processed.
total_estimated_bytes str: Estimate of the number of bytes to process.

hybridStats Property Map: Statistics related to the processing of hybrid inspect.
infoTypeStats List<Property Map>: Statistics of how many instances of each info type were found during inspect job.
processedBytes String: Total size in bytes that were processed.
totalEstimatedBytes String: Estimate of the number of bytes to process.

GooglePrivacyDlpV2RiskAnalysisJobConfigResponse

Actions List<Pulumi.GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2ActionResponse>: Actions to execute at the completion of the job. Are executed in the order provided.
PrivacyMetric Pulumi.GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2PrivacyMetricResponse: Privacy metric to compute.
SourceTable Pulumi.GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2BigQueryTableResponse: Input dataset to compute metrics over.

Actions []GooglePrivacyDlpV2ActionResponse: Actions to execute at the completion of the job. Are executed in the order provided.
PrivacyMetric GooglePrivacyDlpV2PrivacyMetricResponse: Privacy metric to compute.
SourceTable GooglePrivacyDlpV2BigQueryTableResponse: Input dataset to compute metrics over.

actions List<GooglePrivacyDlpV2ActionResponse>: Actions to execute at the completion of the job. Are executed in the order provided.
privacyMetric GooglePrivacyDlpV2PrivacyMetricResponse: Privacy metric to compute.
sourceTable GooglePrivacyDlpV2BigQueryTableResponse: Input dataset to compute metrics over.

actions GooglePrivacyDlpV2ActionResponse[]: Actions to execute at the completion of the job. Are executed in the order provided.
privacyMetric GooglePrivacyDlpV2PrivacyMetricResponse: Privacy metric to compute.
sourceTable GooglePrivacyDlpV2BigQueryTableResponse: Input dataset to compute metrics over.

actions Sequence[GooglePrivacyDlpV2ActionResponse]: Actions to execute at the completion of the job. Are executed in the order provided.
privacy_metric GooglePrivacyDlpV2PrivacyMetricResponse: Privacy metric to compute.
source_table GooglePrivacyDlpV2BigQueryTableResponse: Input dataset to compute metrics over.

actions List<Property Map>: Actions to execute at the completion of the job. Are executed in the order provided.
privacyMetric Property Map: Privacy metric to compute.
sourceTable Property Map: Input dataset to compute metrics over.

GooglePrivacyDlpV2SaveFindingsResponse

OutputConfig Pulumi.GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2OutputStorageConfigResponse: Location to store findings outside of DLP.

OutputConfig GooglePrivacyDlpV2OutputStorageConfigResponse: Location to store findings outside of DLP.

outputConfig GooglePrivacyDlpV2OutputStorageConfigResponse: Location to store findings outside of DLP.

outputConfig GooglePrivacyDlpV2OutputStorageConfigResponse: Location to store findings outside of DLP.

output_config GooglePrivacyDlpV2OutputStorageConfigResponse: Location to store findings outside of DLP.

outputConfig Property Map: Location to store findings outside of DLP.

GooglePrivacyDlpV2SelectedInfoTypesResponse

InfoTypes List<Pulumi.GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2InfoTypeResponse>: InfoTypes to apply the transformation to. Required. Provided InfoType must be unique within the ImageTransformations message.

InfoTypes []GooglePrivacyDlpV2InfoTypeResponse: InfoTypes to apply the transformation to. Required. Provided InfoType must be unique within the ImageTransformations message.

infoTypes List<GooglePrivacyDlpV2InfoTypeResponse>: InfoTypes to apply the transformation to. Required. Provided InfoType must be unique within the ImageTransformations message.

infoTypes GooglePrivacyDlpV2InfoTypeResponse[]: InfoTypes to apply the transformation to. Required. Provided InfoType must be unique within the ImageTransformations message.

info_types Sequence[GooglePrivacyDlpV2InfoTypeResponse]: InfoTypes to apply the transformation to. Required. Provided InfoType must be unique within the ImageTransformations message.

infoTypes List<Property Map>: InfoTypes to apply the transformation to. Required. Provided InfoType must be unique within the ImageTransformations message.

GooglePrivacyDlpV2SensitivityScoreResponse

Score string: The sensitivity score applied to the resource.

Score string: The sensitivity score applied to the resource.

score String: The sensitivity score applied to the resource.

score string: The sensitivity score applied to the resource.

score str: The sensitivity score applied to the resource.

score String: The sensitivity score applied to the resource.

GooglePrivacyDlpV2StatisticalTableResponse

QuasiIds List<Pulumi.GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2QuasiIdentifierFieldResponse>: Quasi-identifier columns.
RelativeFrequency Pulumi.GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2FieldIdResponse: The relative frequency column must contain a floating-point number between 0 and 1 (inclusive). Null values are assumed to be zero.
Table Pulumi.GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2BigQueryTableResponse: Auxiliary table location.

QuasiIds []GooglePrivacyDlpV2QuasiIdentifierFieldResponse: Quasi-identifier columns.
RelativeFrequency GooglePrivacyDlpV2FieldIdResponse: The relative frequency column must contain a floating-point number between 0 and 1 (inclusive). Null values are assumed to be zero.
Table GooglePrivacyDlpV2BigQueryTableResponse: Auxiliary table location.

quasiIds List<GooglePrivacyDlpV2QuasiIdentifierFieldResponse>: Quasi-identifier columns.
relativeFrequency GooglePrivacyDlpV2FieldIdResponse: The relative frequency column must contain a floating-point number between 0 and 1 (inclusive). Null values are assumed to be zero.
table GooglePrivacyDlpV2BigQueryTableResponse: Auxiliary table location.

quasiIds GooglePrivacyDlpV2QuasiIdentifierFieldResponse[]: Quasi-identifier columns.
relativeFrequency GooglePrivacyDlpV2FieldIdResponse: The relative frequency column must contain a floating-point number between 0 and 1 (inclusive). Null values are assumed to be zero.
table GooglePrivacyDlpV2BigQueryTableResponse: Auxiliary table location.

quasi_ids Sequence[GooglePrivacyDlpV2QuasiIdentifierFieldResponse]: Quasi-identifier columns.
relative_frequency GooglePrivacyDlpV2FieldIdResponse: The relative frequency column must contain a floating-point number between 0 and 1 (inclusive). Null values are assumed to be zero.
table GooglePrivacyDlpV2BigQueryTableResponse: Auxiliary table location.

quasiIds List<Property Map>: Quasi-identifier columns.
relativeFrequency Property Map: The relative frequency column must contain a floating-point number between 0 and 1 (inclusive). Null values are assumed to be zero.
table Property Map: Auxiliary table location.

GooglePrivacyDlpV2StorageConfigResponse

BigQueryOptions Pulumi.GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2BigQueryOptionsResponse: BigQuery options.
CloudStorageOptions Pulumi.GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2CloudStorageOptionsResponse: Cloud Storage options.
DatastoreOptions Pulumi.GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2DatastoreOptionsResponse: Google Cloud Datastore options.
HybridOptions Pulumi.GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2HybridOptionsResponse: Hybrid inspection options.
TimespanConfig Pulumi.GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2TimespanConfigResponse

BigQueryOptions GooglePrivacyDlpV2BigQueryOptionsResponse: BigQuery options.
CloudStorageOptions GooglePrivacyDlpV2CloudStorageOptionsResponse: Cloud Storage options.
DatastoreOptions GooglePrivacyDlpV2DatastoreOptionsResponse: Google Cloud Datastore options.
HybridOptions GooglePrivacyDlpV2HybridOptionsResponse: Hybrid inspection options.
TimespanConfig GooglePrivacyDlpV2TimespanConfigResponse

bigQueryOptions GooglePrivacyDlpV2BigQueryOptionsResponse: BigQuery options.
cloudStorageOptions GooglePrivacyDlpV2CloudStorageOptionsResponse: Cloud Storage options.
datastoreOptions GooglePrivacyDlpV2DatastoreOptionsResponse: Google Cloud Datastore options.
hybridOptions GooglePrivacyDlpV2HybridOptionsResponse: Hybrid inspection options.
timespanConfig GooglePrivacyDlpV2TimespanConfigResponse

bigQueryOptions GooglePrivacyDlpV2BigQueryOptionsResponse: BigQuery options.
cloudStorageOptions GooglePrivacyDlpV2CloudStorageOptionsResponse: Cloud Storage options.
datastoreOptions GooglePrivacyDlpV2DatastoreOptionsResponse: Google Cloud Datastore options.
hybridOptions GooglePrivacyDlpV2HybridOptionsResponse: Hybrid inspection options.
timespanConfig GooglePrivacyDlpV2TimespanConfigResponse

big_query_options GooglePrivacyDlpV2BigQueryOptionsResponse: BigQuery options.
cloud_storage_options GooglePrivacyDlpV2CloudStorageOptionsResponse: Cloud Storage options.
datastore_options GooglePrivacyDlpV2DatastoreOptionsResponse: Google Cloud Datastore options.
hybrid_options GooglePrivacyDlpV2HybridOptionsResponse: Hybrid inspection options.
timespan_config GooglePrivacyDlpV2TimespanConfigResponse

bigQueryOptions Property Map: BigQuery options.
cloudStorageOptions Property Map: Cloud Storage options.
datastoreOptions Property Map: Google Cloud Datastore options.
hybridOptions Property Map: Hybrid inspection options.
timespanConfig Property Map

GooglePrivacyDlpV2StoredTypeResponse

CreateTime string: Timestamp indicating when the version of the StoredInfoType used for inspection was created. Output-only field, populated by the system.
Name string: Resource name of the requested StoredInfoType, for example organizations/433245324/storedInfoTypes/432452342 or projects/project-id/storedInfoTypes/432452342.

CreateTime string: Timestamp indicating when the version of the StoredInfoType used for inspection was created. Output-only field, populated by the system.
Name string: Resource name of the requested StoredInfoType, for example organizations/433245324/storedInfoTypes/432452342 or projects/project-id/storedInfoTypes/432452342.

createTime String: Timestamp indicating when the version of the StoredInfoType used for inspection was created. Output-only field, populated by the system.
name String: Resource name of the requested StoredInfoType, for example organizations/433245324/storedInfoTypes/432452342 or projects/project-id/storedInfoTypes/432452342.

createTime string: Timestamp indicating when the version of the StoredInfoType used for inspection was created. Output-only field, populated by the system.
name string: Resource name of the requested StoredInfoType, for example organizations/433245324/storedInfoTypes/432452342 or projects/project-id/storedInfoTypes/432452342.

create_time str: Timestamp indicating when the version of the StoredInfoType used for inspection was created. Output-only field, populated by the system.
name str: Resource name of the requested StoredInfoType, for example organizations/433245324/storedInfoTypes/432452342 or projects/project-id/storedInfoTypes/432452342.

createTime String: Timestamp indicating when the version of the StoredInfoType used for inspection was created. Output-only field, populated by the system.
name String: Resource name of the requested StoredInfoType, for example organizations/433245324/storedInfoTypes/432452342 or projects/project-id/storedInfoTypes/432452342.

GooglePrivacyDlpV2TableOptionsResponse

IdentifyingFields List<Pulumi.GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2FieldIdResponse>: The columns that are the primary keys for table objects included in ContentItem. A copy of this cell's value will stored alongside alongside each finding so that the finding can be traced to the specific row it came from. No more than 3 may be provided.

IdentifyingFields []GooglePrivacyDlpV2FieldIdResponse: The columns that are the primary keys for table objects included in ContentItem. A copy of this cell's value will stored alongside alongside each finding so that the finding can be traced to the specific row it came from. No more than 3 may be provided.

identifyingFields List<GooglePrivacyDlpV2FieldIdResponse>: The columns that are the primary keys for table objects included in ContentItem. A copy of this cell's value will stored alongside alongside each finding so that the finding can be traced to the specific row it came from. No more than 3 may be provided.

identifyingFields GooglePrivacyDlpV2FieldIdResponse[]: The columns that are the primary keys for table objects included in ContentItem. A copy of this cell's value will stored alongside alongside each finding so that the finding can be traced to the specific row it came from. No more than 3 may be provided.

identifying_fields Sequence[GooglePrivacyDlpV2FieldIdResponse]: The columns that are the primary keys for table objects included in ContentItem. A copy of this cell's value will stored alongside alongside each finding so that the finding can be traced to the specific row it came from. No more than 3 may be provided.

identifyingFields List<Property Map>: The columns that are the primary keys for table objects included in ContentItem. A copy of this cell's value will stored alongside alongside each finding so that the finding can be traced to the specific row it came from. No more than 3 may be provided.

GooglePrivacyDlpV2TaggedFieldResponse

CustomTag string: A column can be tagged with a custom tag. In this case, the user must indicate an auxiliary table that contains statistical information on the possible values of this column (below).
Field Pulumi.GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2FieldIdResponse: Identifies the column.
Inferred Pulumi.GoogleNative.DLP.V2.Inputs.GoogleProtobufEmptyResponse: If no semantic tag is indicated, we infer the statistical model from the distribution of values in the input data
InfoType Pulumi.GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2InfoTypeResponse: A column can be tagged with a InfoType to use the relevant public dataset as a statistical model of population, if available. We currently support US ZIP codes, region codes, ages and genders. To programmatically obtain the list of supported InfoTypes, use ListInfoTypes with the supported_by=RISK_ANALYSIS filter.

CustomTag string: A column can be tagged with a custom tag. In this case, the user must indicate an auxiliary table that contains statistical information on the possible values of this column (below).
Field GooglePrivacyDlpV2FieldIdResponse: Identifies the column.
Inferred GoogleProtobufEmptyResponse: If no semantic tag is indicated, we infer the statistical model from the distribution of values in the input data
InfoType GooglePrivacyDlpV2InfoTypeResponse: A column can be tagged with a InfoType to use the relevant public dataset as a statistical model of population, if available. We currently support US ZIP codes, region codes, ages and genders. To programmatically obtain the list of supported InfoTypes, use ListInfoTypes with the supported_by=RISK_ANALYSIS filter.

customTag String: A column can be tagged with a custom tag. In this case, the user must indicate an auxiliary table that contains statistical information on the possible values of this column (below).
field GooglePrivacyDlpV2FieldIdResponse: Identifies the column.
inferred GoogleProtobufEmptyResponse: If no semantic tag is indicated, we infer the statistical model from the distribution of values in the input data
infoType GooglePrivacyDlpV2InfoTypeResponse: A column can be tagged with a InfoType to use the relevant public dataset as a statistical model of population, if available. We currently support US ZIP codes, region codes, ages and genders. To programmatically obtain the list of supported InfoTypes, use ListInfoTypes with the supported_by=RISK_ANALYSIS filter.

customTag string: A column can be tagged with a custom tag. In this case, the user must indicate an auxiliary table that contains statistical information on the possible values of this column (below).
field GooglePrivacyDlpV2FieldIdResponse: Identifies the column.
inferred GoogleProtobufEmptyResponse: If no semantic tag is indicated, we infer the statistical model from the distribution of values in the input data
infoType GooglePrivacyDlpV2InfoTypeResponse: A column can be tagged with a InfoType to use the relevant public dataset as a statistical model of population, if available. We currently support US ZIP codes, region codes, ages and genders. To programmatically obtain the list of supported InfoTypes, use ListInfoTypes with the supported_by=RISK_ANALYSIS filter.

custom_tag str: A column can be tagged with a custom tag. In this case, the user must indicate an auxiliary table that contains statistical information on the possible values of this column (below).
field GooglePrivacyDlpV2FieldIdResponse: Identifies the column.
inferred GoogleProtobufEmptyResponse: If no semantic tag is indicated, we infer the statistical model from the distribution of values in the input data
info_type GooglePrivacyDlpV2InfoTypeResponse: A column can be tagged with a InfoType to use the relevant public dataset as a statistical model of population, if available. We currently support US ZIP codes, region codes, ages and genders. To programmatically obtain the list of supported InfoTypes, use ListInfoTypes with the supported_by=RISK_ANALYSIS filter.

customTag String: A column can be tagged with a custom tag. In this case, the user must indicate an auxiliary table that contains statistical information on the possible values of this column (below).
field Property Map: Identifies the column.
inferred Property Map: If no semantic tag is indicated, we infer the statistical model from the distribution of values in the input data
infoType Property Map: A column can be tagged with a InfoType to use the relevant public dataset as a statistical model of population, if available. We currently support US ZIP codes, region codes, ages and genders. To programmatically obtain the list of supported InfoTypes, use ListInfoTypes with the supported_by=RISK_ANALYSIS filter.

GooglePrivacyDlpV2TimePartConfigResponse

PartToExtract string: The part of the time to keep.

PartToExtract string: The part of the time to keep.

partToExtract String: The part of the time to keep.

partToExtract string: The part of the time to keep.

part_to_extract str: The part of the time to keep.

partToExtract String: The part of the time to keep.

GooglePrivacyDlpV2TimespanConfigResponse

EnableAutoPopulationOfTimespanConfig bool: When the job is started by a JobTrigger we will automatically figure out a valid start_time to avoid scanning files that have not been modified since the last time the JobTrigger executed. This will be based on the time of the execution of the last run of the JobTrigger or the timespan end_time used in the last run of the JobTrigger.
EndTime string: Exclude files, tables, or rows newer than this value. If not set, no upper time limit is applied.
StartTime string: Exclude files, tables, or rows older than this value. If not set, no lower time limit is applied.
TimestampField Pulumi.GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2FieldIdResponse: Specification of the field containing the timestamp of scanned items. Used for data sources like Datastore and BigQuery. For BigQuery If this value is not specified and the table was modified between the given start and end times, the entire table will be scanned. If this value is specified, then rows are filtered based on the given start and end times. Rows with a NULL value in the provided BigQuery column are skipped. Valid data types of the provided BigQuery column are: INTEGER, DATE, TIMESTAMP, and DATETIME. If your BigQuery table is partitioned at ingestion time, you can use any of the following pseudo-columns as your timestamp field. When used with Cloud DLP, these pseudo-column names are case sensitive. - _PARTITIONTIME - _PARTITIONDATE - _PARTITION_LOAD_TIME For Datastore If this value is specified, then entities are filtered based on the given start and end times. If an entity does not contain the provided timestamp property or contains empty or invalid values, then it is included. Valid data types of the provided timestamp property are: TIMESTAMP. See the known issue related to this operation.

EnableAutoPopulationOfTimespanConfig bool: When the job is started by a JobTrigger we will automatically figure out a valid start_time to avoid scanning files that have not been modified since the last time the JobTrigger executed. This will be based on the time of the execution of the last run of the JobTrigger or the timespan end_time used in the last run of the JobTrigger.
EndTime string: Exclude files, tables, or rows newer than this value. If not set, no upper time limit is applied.
StartTime string: Exclude files, tables, or rows older than this value. If not set, no lower time limit is applied.
TimestampField GooglePrivacyDlpV2FieldIdResponse: Specification of the field containing the timestamp of scanned items. Used for data sources like Datastore and BigQuery. For BigQuery If this value is not specified and the table was modified between the given start and end times, the entire table will be scanned. If this value is specified, then rows are filtered based on the given start and end times. Rows with a NULL value in the provided BigQuery column are skipped. Valid data types of the provided BigQuery column are: INTEGER, DATE, TIMESTAMP, and DATETIME. If your BigQuery table is partitioned at ingestion time, you can use any of the following pseudo-columns as your timestamp field. When used with Cloud DLP, these pseudo-column names are case sensitive. - _PARTITIONTIME - _PARTITIONDATE - _PARTITION_LOAD_TIME For Datastore If this value is specified, then entities are filtered based on the given start and end times. If an entity does not contain the provided timestamp property or contains empty or invalid values, then it is included. Valid data types of the provided timestamp property are: TIMESTAMP. See the known issue related to this operation.

enableAutoPopulationOfTimespanConfig Boolean: When the job is started by a JobTrigger we will automatically figure out a valid start_time to avoid scanning files that have not been modified since the last time the JobTrigger executed. This will be based on the time of the execution of the last run of the JobTrigger or the timespan end_time used in the last run of the JobTrigger.
endTime String: Exclude files, tables, or rows newer than this value. If not set, no upper time limit is applied.
startTime String: Exclude files, tables, or rows older than this value. If not set, no lower time limit is applied.
timestampField GooglePrivacyDlpV2FieldIdResponse: Specification of the field containing the timestamp of scanned items. Used for data sources like Datastore and BigQuery. For BigQuery If this value is not specified and the table was modified between the given start and end times, the entire table will be scanned. If this value is specified, then rows are filtered based on the given start and end times. Rows with a NULL value in the provided BigQuery column are skipped. Valid data types of the provided BigQuery column are: INTEGER, DATE, TIMESTAMP, and DATETIME. If your BigQuery table is partitioned at ingestion time, you can use any of the following pseudo-columns as your timestamp field. When used with Cloud DLP, these pseudo-column names are case sensitive. - _PARTITIONTIME - _PARTITIONDATE - _PARTITION_LOAD_TIME For Datastore If this value is specified, then entities are filtered based on the given start and end times. If an entity does not contain the provided timestamp property or contains empty or invalid values, then it is included. Valid data types of the provided timestamp property are: TIMESTAMP. See the known issue related to this operation.

enableAutoPopulationOfTimespanConfig boolean: When the job is started by a JobTrigger we will automatically figure out a valid start_time to avoid scanning files that have not been modified since the last time the JobTrigger executed. This will be based on the time of the execution of the last run of the JobTrigger or the timespan end_time used in the last run of the JobTrigger.
endTime string: Exclude files, tables, or rows newer than this value. If not set, no upper time limit is applied.
startTime string: Exclude files, tables, or rows older than this value. If not set, no lower time limit is applied.
timestampField GooglePrivacyDlpV2FieldIdResponse: Specification of the field containing the timestamp of scanned items. Used for data sources like Datastore and BigQuery. For BigQuery If this value is not specified and the table was modified between the given start and end times, the entire table will be scanned. If this value is specified, then rows are filtered based on the given start and end times. Rows with a NULL value in the provided BigQuery column are skipped. Valid data types of the provided BigQuery column are: INTEGER, DATE, TIMESTAMP, and DATETIME. If your BigQuery table is partitioned at ingestion time, you can use any of the following pseudo-columns as your timestamp field. When used with Cloud DLP, these pseudo-column names are case sensitive. - _PARTITIONTIME - _PARTITIONDATE - _PARTITION_LOAD_TIME For Datastore If this value is specified, then entities are filtered based on the given start and end times. If an entity does not contain the provided timestamp property or contains empty or invalid values, then it is included. Valid data types of the provided timestamp property are: TIMESTAMP. See the known issue related to this operation.

enable_auto_population_of_timespan_config bool: When the job is started by a JobTrigger we will automatically figure out a valid start_time to avoid scanning files that have not been modified since the last time the JobTrigger executed. This will be based on the time of the execution of the last run of the JobTrigger or the timespan end_time used in the last run of the JobTrigger.
end_time str: Exclude files, tables, or rows newer than this value. If not set, no upper time limit is applied.
start_time str: Exclude files, tables, or rows older than this value. If not set, no lower time limit is applied.
timestamp_field GooglePrivacyDlpV2FieldIdResponse: Specification of the field containing the timestamp of scanned items. Used for data sources like Datastore and BigQuery. For BigQuery If this value is not specified and the table was modified between the given start and end times, the entire table will be scanned. If this value is specified, then rows are filtered based on the given start and end times. Rows with a NULL value in the provided BigQuery column are skipped. Valid data types of the provided BigQuery column are: INTEGER, DATE, TIMESTAMP, and DATETIME. If your BigQuery table is partitioned at ingestion time, you can use any of the following pseudo-columns as your timestamp field. When used with Cloud DLP, these pseudo-column names are case sensitive. - _PARTITIONTIME - _PARTITIONDATE - _PARTITION_LOAD_TIME For Datastore If this value is specified, then entities are filtered based on the given start and end times. If an entity does not contain the provided timestamp property or contains empty or invalid values, then it is included. Valid data types of the provided timestamp property are: TIMESTAMP. See the known issue related to this operation.

enableAutoPopulationOfTimespanConfig Boolean: When the job is started by a JobTrigger we will automatically figure out a valid start_time to avoid scanning files that have not been modified since the last time the JobTrigger executed. This will be based on the time of the execution of the last run of the JobTrigger or the timespan end_time used in the last run of the JobTrigger.
endTime String: Exclude files, tables, or rows newer than this value. If not set, no upper time limit is applied.
startTime String: Exclude files, tables, or rows older than this value. If not set, no lower time limit is applied.
timestampField Property Map: Specification of the field containing the timestamp of scanned items. Used for data sources like Datastore and BigQuery. For BigQuery If this value is not specified and the table was modified between the given start and end times, the entire table will be scanned. If this value is specified, then rows are filtered based on the given start and end times. Rows with a NULL value in the provided BigQuery column are skipped. Valid data types of the provided BigQuery column are: INTEGER, DATE, TIMESTAMP, and DATETIME. If your BigQuery table is partitioned at ingestion time, you can use any of the following pseudo-columns as your timestamp field. When used with Cloud DLP, these pseudo-column names are case sensitive. - _PARTITIONTIME - _PARTITIONDATE - _PARTITION_LOAD_TIME For Datastore If this value is specified, then entities are filtered based on the given start and end times. If an entity does not contain the provided timestamp property or contains empty or invalid values, then it is included. Valid data types of the provided timestamp property are: TIMESTAMP. See the known issue related to this operation.

GooglePrivacyDlpV2TransformationConfigResponse

DeidentifyTemplate string: De-identify template. If this template is specified, it will serve as the default de-identify template. This template cannot contain record_transformations since it can be used for unstructured content such as free-form text files. If this template is not set, a default ReplaceWithInfoTypeConfig will be used to de-identify unstructured content.
ImageRedactTemplate string: Image redact template. If this template is specified, it will serve as the de-identify template for images. If this template is not set, all findings in the image will be redacted with a black box.
StructuredDeidentifyTemplate string: Structured de-identify template. If this template is specified, it will serve as the de-identify template for structured content such as delimited files and tables. If this template is not set but the deidentify_template is set, then deidentify_template will also apply to the structured content. If neither template is set, a default ReplaceWithInfoTypeConfig will be used to de-identify structured content.

DeidentifyTemplate string: De-identify template. If this template is specified, it will serve as the default de-identify template. This template cannot contain record_transformations since it can be used for unstructured content such as free-form text files. If this template is not set, a default ReplaceWithInfoTypeConfig will be used to de-identify unstructured content.
ImageRedactTemplate string: Image redact template. If this template is specified, it will serve as the de-identify template for images. If this template is not set, all findings in the image will be redacted with a black box.
StructuredDeidentifyTemplate string: Structured de-identify template. If this template is specified, it will serve as the de-identify template for structured content such as delimited files and tables. If this template is not set but the deidentify_template is set, then deidentify_template will also apply to the structured content. If neither template is set, a default ReplaceWithInfoTypeConfig will be used to de-identify structured content.

deidentifyTemplate String: De-identify template. If this template is specified, it will serve as the default de-identify template. This template cannot contain record_transformations since it can be used for unstructured content such as free-form text files. If this template is not set, a default ReplaceWithInfoTypeConfig will be used to de-identify unstructured content.
imageRedactTemplate String: Image redact template. If this template is specified, it will serve as the de-identify template for images. If this template is not set, all findings in the image will be redacted with a black box.
structuredDeidentifyTemplate String: Structured de-identify template. If this template is specified, it will serve as the de-identify template for structured content such as delimited files and tables. If this template is not set but the deidentify_template is set, then deidentify_template will also apply to the structured content. If neither template is set, a default ReplaceWithInfoTypeConfig will be used to de-identify structured content.

deidentifyTemplate string: De-identify template. If this template is specified, it will serve as the default de-identify template. This template cannot contain record_transformations since it can be used for unstructured content such as free-form text files. If this template is not set, a default ReplaceWithInfoTypeConfig will be used to de-identify unstructured content.
imageRedactTemplate string: Image redact template. If this template is specified, it will serve as the de-identify template for images. If this template is not set, all findings in the image will be redacted with a black box.
structuredDeidentifyTemplate string: Structured de-identify template. If this template is specified, it will serve as the de-identify template for structured content such as delimited files and tables. If this template is not set but the deidentify_template is set, then deidentify_template will also apply to the structured content. If neither template is set, a default ReplaceWithInfoTypeConfig will be used to de-identify structured content.

deidentify_template str: De-identify template. If this template is specified, it will serve as the default de-identify template. This template cannot contain record_transformations since it can be used for unstructured content such as free-form text files. If this template is not set, a default ReplaceWithInfoTypeConfig will be used to de-identify unstructured content.
image_redact_template str: Image redact template. If this template is specified, it will serve as the de-identify template for images. If this template is not set, all findings in the image will be redacted with a black box.
structured_deidentify_template str: Structured de-identify template. If this template is specified, it will serve as the de-identify template for structured content such as delimited files and tables. If this template is not set but the deidentify_template is set, then deidentify_template will also apply to the structured content. If neither template is set, a default ReplaceWithInfoTypeConfig will be used to de-identify structured content.

deidentifyTemplate String: De-identify template. If this template is specified, it will serve as the default de-identify template. This template cannot contain record_transformations since it can be used for unstructured content such as free-form text files. If this template is not set, a default ReplaceWithInfoTypeConfig will be used to de-identify unstructured content.
imageRedactTemplate String: Image redact template. If this template is specified, it will serve as the de-identify template for images. If this template is not set, all findings in the image will be redacted with a black box.
structuredDeidentifyTemplate String: Structured de-identify template. If this template is specified, it will serve as the de-identify template for structured content such as delimited files and tables. If this template is not set but the deidentify_template is set, then deidentify_template will also apply to the structured content. If neither template is set, a default ReplaceWithInfoTypeConfig will be used to de-identify structured content.

GooglePrivacyDlpV2TransformationDetailsStorageConfigResponse

Table Pulumi.GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2BigQueryTableResponse: The BigQuery table in which to store the output. This may be an existing table or in a new table in an existing dataset. If table_id is not set a new one will be generated for you with the following format: dlp_googleapis_transformation_details_yyyy_mm_dd_[dlp_job_id]. Pacific time zone will be used for generating the date details.

Table GooglePrivacyDlpV2BigQueryTableResponse: The BigQuery table in which to store the output. This may be an existing table or in a new table in an existing dataset. If table_id is not set a new one will be generated for you with the following format: dlp_googleapis_transformation_details_yyyy_mm_dd_[dlp_job_id]. Pacific time zone will be used for generating the date details.

table GooglePrivacyDlpV2BigQueryTableResponse: The BigQuery table in which to store the output. This may be an existing table or in a new table in an existing dataset. If table_id is not set a new one will be generated for you with the following format: dlp_googleapis_transformation_details_yyyy_mm_dd_[dlp_job_id]. Pacific time zone will be used for generating the date details.

table GooglePrivacyDlpV2BigQueryTableResponse: The BigQuery table in which to store the output. This may be an existing table or in a new table in an existing dataset. If table_id is not set a new one will be generated for you with the following format: dlp_googleapis_transformation_details_yyyy_mm_dd_[dlp_job_id]. Pacific time zone will be used for generating the date details.

table GooglePrivacyDlpV2BigQueryTableResponse: The BigQuery table in which to store the output. This may be an existing table or in a new table in an existing dataset. If table_id is not set a new one will be generated for you with the following format: dlp_googleapis_transformation_details_yyyy_mm_dd_[dlp_job_id]. Pacific time zone will be used for generating the date details.

table Property Map: The BigQuery table in which to store the output. This may be an existing table or in a new table in an existing dataset. If table_id is not set a new one will be generated for you with the following format: dlp_googleapis_transformation_details_yyyy_mm_dd_[dlp_job_id]. Pacific time zone will be used for generating the date details.

GooglePrivacyDlpV2TransformationErrorHandlingResponse

LeaveUntransformed Pulumi.GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2LeaveUntransformedResponse: Ignore errors
ThrowError Pulumi.GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2ThrowErrorResponse: Throw an error

LeaveUntransformed GooglePrivacyDlpV2LeaveUntransformedResponse: Ignore errors
ThrowError GooglePrivacyDlpV2ThrowErrorResponse: Throw an error

leaveUntransformed GooglePrivacyDlpV2LeaveUntransformedResponse: Ignore errors
throwError GooglePrivacyDlpV2ThrowErrorResponse: Throw an error

leaveUntransformed GooglePrivacyDlpV2LeaveUntransformedResponse: Ignore errors
throwError GooglePrivacyDlpV2ThrowErrorResponse: Throw an error

leave_untransformed GooglePrivacyDlpV2LeaveUntransformedResponse: Ignore errors
throw_error GooglePrivacyDlpV2ThrowErrorResponse: Throw an error

leaveUntransformed Property Map: Ignore errors
throwError Property Map: Throw an error

GooglePrivacyDlpV2TransientCryptoKeyResponse

Name string: Name of the key. This is an arbitrary string used to differentiate different keys. A unique key is generated per name: two separate TransientCryptoKey protos share the same generated key if their names are the same. When the data crypto key is generated, this name is not used in any way (repeating the api call will result in a different key being generated).

Name string: Name of the key. This is an arbitrary string used to differentiate different keys. A unique key is generated per name: two separate TransientCryptoKey protos share the same generated key if their names are the same. When the data crypto key is generated, this name is not used in any way (repeating the api call will result in a different key being generated).

name String: Name of the key. This is an arbitrary string used to differentiate different keys. A unique key is generated per name: two separate TransientCryptoKey protos share the same generated key if their names are the same. When the data crypto key is generated, this name is not used in any way (repeating the api call will result in a different key being generated).

name string: Name of the key. This is an arbitrary string used to differentiate different keys. A unique key is generated per name: two separate TransientCryptoKey protos share the same generated key if their names are the same. When the data crypto key is generated, this name is not used in any way (repeating the api call will result in a different key being generated).

name str: Name of the key. This is an arbitrary string used to differentiate different keys. A unique key is generated per name: two separate TransientCryptoKey protos share the same generated key if their names are the same. When the data crypto key is generated, this name is not used in any way (repeating the api call will result in a different key being generated).

name String: Name of the key. This is an arbitrary string used to differentiate different keys. A unique key is generated per name: two separate TransientCryptoKey protos share the same generated key if their names are the same. When the data crypto key is generated, this name is not used in any way (repeating the api call will result in a different key being generated).

GooglePrivacyDlpV2UnwrappedCryptoKeyResponse

Key string: A 128/192/256 bit key.

Key string: A 128/192/256 bit key.

key String: A 128/192/256 bit key.

key string: A 128/192/256 bit key.

key str: A 128/192/256 bit key.

key String: A 128/192/256 bit key.

GooglePrivacyDlpV2ValueFrequencyResponse

Count string: How many times the value is contained in the field.
Value Pulumi.GoogleNative.DLP.V2.Inputs.GooglePrivacyDlpV2ValueResponse: A value contained in the field in question.

Count string: How many times the value is contained in the field.
Value GooglePrivacyDlpV2ValueResponse: A value contained in the field in question.

count String: How many times the value is contained in the field.
value GooglePrivacyDlpV2ValueResponse: A value contained in the field in question.

count string: How many times the value is contained in the field.
value GooglePrivacyDlpV2ValueResponse: A value contained in the field in question.

count str: How many times the value is contained in the field.
value GooglePrivacyDlpV2ValueResponse: A value contained in the field in question.

count String: How many times the value is contained in the field.
value Property Map: A value contained in the field in question.

GooglePrivacyDlpV2ValueResponse

BooleanValue bool: boolean
DateValue Pulumi.GoogleNative.DLP.V2.Inputs.GoogleTypeDateResponse: date
DayOfWeekValue string: day of week
FloatValue double: float
IntegerValue string: integer
StringValue string: string
TimeValue Pulumi.GoogleNative.DLP.V2.Inputs.GoogleTypeTimeOfDayResponse: time of day
TimestampValue string: timestamp

BooleanValue bool: boolean
DateValue GoogleTypeDateResponse: date
DayOfWeekValue string: day of week
FloatValue float64: float
IntegerValue string: integer
StringValue string: string
TimeValue GoogleTypeTimeOfDayResponse: time of day
TimestampValue string: timestamp

booleanValue Boolean: boolean
dateValue GoogleTypeDateResponse: date
dayOfWeekValue String: day of week
floatValue Double: float
integerValue String: integer
stringValue String: string
timeValue GoogleTypeTimeOfDayResponse: time of day
timestampValue String: timestamp

booleanValue boolean: boolean
dateValue GoogleTypeDateResponse: date
dayOfWeekValue string: day of week
floatValue number: float
integerValue string: integer
stringValue string: string
timeValue GoogleTypeTimeOfDayResponse: time of day
timestampValue string: timestamp

boolean_value bool: boolean
date_value GoogleTypeDateResponse: date
day_of_week_value str: day of week
float_value float: float
integer_value str: integer
string_value str: string
time_value GoogleTypeTimeOfDayResponse: time of day
timestamp_value str: timestamp

booleanValue Boolean: boolean
dateValue Property Map: date
dayOfWeekValue String: day of week
floatValue Number: float
integerValue String: integer
stringValue String: string
timeValue Property Map: time of day
timestampValue String: timestamp

GooglePrivacyDlpV2WordListResponse

Words List<string>: Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required]

Words []string: Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required]

words List<String>: Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required]

words string[]: Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required]

words Sequence[str]: Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required]

words List<String>: Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required]

GoogleRpcStatusResponse

Code int: The status code, which should be an enum value of google.rpc.Code.
Details List<ImmutableDictionary<string, string>>: A list of messages that carry the error details. There is a common set of message types for APIs to use.
Message string: A developer-facing error message, which should be in English. Any user-facing error message should be localized and sent in the google.rpc.Status.details field, or localized by the client.

Code int: The status code, which should be an enum value of google.rpc.Code.
Details []map[string]string: A list of messages that carry the error details. There is a common set of message types for APIs to use.
Message string: A developer-facing error message, which should be in English. Any user-facing error message should be localized and sent in the google.rpc.Status.details field, or localized by the client.

code Integer: The status code, which should be an enum value of google.rpc.Code.
details List<Map<String,String>>: A list of messages that carry the error details. There is a common set of message types for APIs to use.
message String: A developer-facing error message, which should be in English. Any user-facing error message should be localized and sent in the google.rpc.Status.details field, or localized by the client.

code number: The status code, which should be an enum value of google.rpc.Code.
details {[key: string]: string}[]: A list of messages that carry the error details. There is a common set of message types for APIs to use.
message string: A developer-facing error message, which should be in English. Any user-facing error message should be localized and sent in the google.rpc.Status.details field, or localized by the client.

code int: The status code, which should be an enum value of google.rpc.Code.
details Sequence[Mapping[str, str]]: A list of messages that carry the error details. There is a common set of message types for APIs to use.
message str: A developer-facing error message, which should be in English. Any user-facing error message should be localized and sent in the google.rpc.Status.details field, or localized by the client.

code Number: The status code, which should be an enum value of google.rpc.Code.
details List<Map<String>>: A list of messages that carry the error details. There is a common set of message types for APIs to use.
message String: A developer-facing error message, which should be in English. Any user-facing error message should be localized and sent in the google.rpc.Status.details field, or localized by the client.

GoogleTypeDateResponse

Day int: Day of a month. Must be from 1 to 31 and valid for the year and month, or 0 to specify a year by itself or a year and month where the day isn't significant.
Month int: Month of a year. Must be from 1 to 12, or 0 to specify a year without a month and day.
Year int: Year of the date. Must be from 1 to 9999, or 0 to specify a date without a year.

Day int: Day of a month. Must be from 1 to 31 and valid for the year and month, or 0 to specify a year by itself or a year and month where the day isn't significant.
Month int: Month of a year. Must be from 1 to 12, or 0 to specify a year without a month and day.
Year int: Year of the date. Must be from 1 to 9999, or 0 to specify a date without a year.

day Integer: Day of a month. Must be from 1 to 31 and valid for the year and month, or 0 to specify a year by itself or a year and month where the day isn't significant.
month Integer: Month of a year. Must be from 1 to 12, or 0 to specify a year without a month and day.
year Integer: Year of the date. Must be from 1 to 9999, or 0 to specify a date without a year.

day number: Day of a month. Must be from 1 to 31 and valid for the year and month, or 0 to specify a year by itself or a year and month where the day isn't significant.
month number: Month of a year. Must be from 1 to 12, or 0 to specify a year without a month and day.
year number: Year of the date. Must be from 1 to 9999, or 0 to specify a date without a year.

day int: Day of a month. Must be from 1 to 31 and valid for the year and month, or 0 to specify a year by itself or a year and month where the day isn't significant.
month int: Month of a year. Must be from 1 to 12, or 0 to specify a year without a month and day.
year int: Year of the date. Must be from 1 to 9999, or 0 to specify a date without a year.

day Number: Day of a month. Must be from 1 to 31 and valid for the year and month, or 0 to specify a year by itself or a year and month where the day isn't significant.
month Number: Month of a year. Must be from 1 to 12, or 0 to specify a year without a month and day.
year Number: Year of the date. Must be from 1 to 9999, or 0 to specify a date without a year.

GoogleTypeTimeOfDayResponse

Hours int: Hours of day in 24 hour format. Should be from 0 to 23. An API may choose to allow the value "24:00:00" for scenarios like business closing time.
Minutes int: Minutes of hour of day. Must be from 0 to 59.
Nanos int: Fractions of seconds in nanoseconds. Must be from 0 to 999,999,999.
Seconds int: Seconds of minutes of the time. Must normally be from 0 to 59. An API may allow the value 60 if it allows leap-seconds.

Hours int: Hours of day in 24 hour format. Should be from 0 to 23. An API may choose to allow the value "24:00:00" for scenarios like business closing time.
Minutes int: Minutes of hour of day. Must be from 0 to 59.
Nanos int: Fractions of seconds in nanoseconds. Must be from 0 to 999,999,999.
Seconds int: Seconds of minutes of the time. Must normally be from 0 to 59. An API may allow the value 60 if it allows leap-seconds.

hours Integer: Hours of day in 24 hour format. Should be from 0 to 23. An API may choose to allow the value "24:00:00" for scenarios like business closing time.
minutes Integer: Minutes of hour of day. Must be from 0 to 59.
nanos Integer: Fractions of seconds in nanoseconds. Must be from 0 to 999,999,999.
seconds Integer: Seconds of minutes of the time. Must normally be from 0 to 59. An API may allow the value 60 if it allows leap-seconds.

hours number: Hours of day in 24 hour format. Should be from 0 to 23. An API may choose to allow the value "24:00:00" for scenarios like business closing time.
minutes number: Minutes of hour of day. Must be from 0 to 59.
nanos number: Fractions of seconds in nanoseconds. Must be from 0 to 999,999,999.
seconds number: Seconds of minutes of the time. Must normally be from 0 to 59. An API may allow the value 60 if it allows leap-seconds.

hours int: Hours of day in 24 hour format. Should be from 0 to 23. An API may choose to allow the value "24:00:00" for scenarios like business closing time.
minutes int: Minutes of hour of day. Must be from 0 to 59.
nanos int: Fractions of seconds in nanoseconds. Must be from 0 to 999,999,999.
seconds int: Seconds of minutes of the time. Must normally be from 0 to 59. An API may allow the value 60 if it allows leap-seconds.

hours Number: Hours of day in 24 hour format. Should be from 0 to 23. An API may choose to allow the value "24:00:00" for scenarios like business closing time.
minutes Number: Minutes of hour of day. Must be from 0 to 59.
nanos Number: Fractions of seconds in nanoseconds. Must be from 0 to 999,999,999.
seconds Number: Seconds of minutes of the time. Must normally be from 0 to 59. An API may allow the value 60 if it allows leap-seconds.

Package Details

Repository: 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.dlp/v2.getDlpJob

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Using getDlpJob

getDlpJob Result

Supporting Types

GooglePrivacyDlpV2ActionDetailsResponse

GooglePrivacyDlpV2ActionResponse

GooglePrivacyDlpV2AnalyzeDataSourceRiskDetailsResponse

GooglePrivacyDlpV2AuxiliaryTableResponse

GooglePrivacyDlpV2BigQueryOptionsResponse

GooglePrivacyDlpV2BigQueryTableResponse

GooglePrivacyDlpV2BucketResponse

GooglePrivacyDlpV2BucketingConfigResponse

GooglePrivacyDlpV2CategoricalStatsConfigResponse

GooglePrivacyDlpV2CategoricalStatsHistogramBucketResponse

GooglePrivacyDlpV2CategoricalStatsResultResponse

GooglePrivacyDlpV2CharacterMaskConfigResponse

GooglePrivacyDlpV2CharsToIgnoreResponse

GooglePrivacyDlpV2CloudStorageOptionsResponse

GooglePrivacyDlpV2CloudStoragePathResponse

GooglePrivacyDlpV2CloudStorageRegexFileSetResponse

GooglePrivacyDlpV2ColorResponse

GooglePrivacyDlpV2ConditionResponse

GooglePrivacyDlpV2ConditionsResponse

GooglePrivacyDlpV2CryptoDeterministicConfigResponse

GooglePrivacyDlpV2CryptoHashConfigResponse

GooglePrivacyDlpV2CryptoKeyResponse

GooglePrivacyDlpV2CryptoReplaceFfxFpeConfigResponse

GooglePrivacyDlpV2CustomInfoTypeResponse

GooglePrivacyDlpV2DatastoreOptionsResponse

GooglePrivacyDlpV2DateShiftConfigResponse

GooglePrivacyDlpV2DeidentifyConfigResponse

GooglePrivacyDlpV2DeidentifyDataSourceDetailsResponse

GooglePrivacyDlpV2DeidentifyDataSourceStatsResponse

GooglePrivacyDlpV2DeidentifyResponse

GooglePrivacyDlpV2DeidentifyTemplateResponse

GooglePrivacyDlpV2DeltaPresenceEstimationConfigResponse

GooglePrivacyDlpV2DeltaPresenceEstimationHistogramBucketResponse

GooglePrivacyDlpV2DeltaPresenceEstimationQuasiIdValuesResponse

GooglePrivacyDlpV2DeltaPresenceEstimationResultResponse

GooglePrivacyDlpV2DetectionRuleResponse

GooglePrivacyDlpV2DictionaryResponse

GooglePrivacyDlpV2EntityIdResponse

GooglePrivacyDlpV2ErrorResponse

GooglePrivacyDlpV2ExcludeByHotwordResponse

GooglePrivacyDlpV2ExcludeInfoTypesResponse

GooglePrivacyDlpV2ExclusionRuleResponse

GooglePrivacyDlpV2ExpressionsResponse

GooglePrivacyDlpV2FieldIdResponse

GooglePrivacyDlpV2FieldTransformationResponse

GooglePrivacyDlpV2FileSetResponse

GooglePrivacyDlpV2FindingLimitsResponse

GooglePrivacyDlpV2FixedSizeBucketingConfigResponse

GooglePrivacyDlpV2HotwordRuleResponse

GooglePrivacyDlpV2HybridInspectStatisticsResponse

GooglePrivacyDlpV2HybridOptionsResponse

GooglePrivacyDlpV2ImageTransformationResponse

GooglePrivacyDlpV2ImageTransformationsResponse

GooglePrivacyDlpV2InfoTypeLikelihoodResponse

GooglePrivacyDlpV2InfoTypeLimitResponse

GooglePrivacyDlpV2InfoTypeResponse

GooglePrivacyDlpV2InfoTypeStatsResponse

GooglePrivacyDlpV2InfoTypeTransformationResponse

GooglePrivacyDlpV2InfoTypeTransformationsResponse

GooglePrivacyDlpV2InspectConfigResponse

GooglePrivacyDlpV2InspectDataSourceDetailsResponse

GooglePrivacyDlpV2InspectJobConfigResponse

GooglePrivacyDlpV2InspectTemplateResponse

GooglePrivacyDlpV2InspectionRuleResponse

GooglePrivacyDlpV2InspectionRuleSetResponse

GooglePrivacyDlpV2KAnonymityConfigResponse

GooglePrivacyDlpV2KAnonymityEquivalenceClassResponse

GooglePrivacyDlpV2KAnonymityHistogramBucketResponse

GooglePrivacyDlpV2KAnonymityResultResponse

GooglePrivacyDlpV2KMapEstimationConfigResponse

GooglePrivacyDlpV2KMapEstimationHistogramBucketResponse

GooglePrivacyDlpV2KMapEstimationQuasiIdValuesResponse

GooglePrivacyDlpV2KMapEstimationResultResponse

GooglePrivacyDlpV2KindExpressionResponse