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Copy file name to clipboardExpand all lines: docs/dyn/dlp_v2.organizations.locations.discoveryConfigs.html
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@@ -386,7 +386,7 @@ <h3>Method Details</h3>
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"minAge": "A String", # Minimum age a resource must be before Cloud DLP can profile it. Value must be 1 hour or greater.
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},
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"dataSourceType": { # Message used to identify the type of resource being profiled. # Required. The type of data profiles generated by this discovery target. Supported values are: * aws/s3/bucket
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"dataSource": "A String", # Output only. An identifying string to the type of resource being profiled. Current values: * google/bigquery/table * google/project * google/sql/table * google/gcs/bucket
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"dataSource": "A String", # An identifying string to the type of resource being profiled. Current values: * google/bigquery/table * google/project * google/sql/table * google/gcs/bucket
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},
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"disabled": { # Do not profile the tables. # Disable profiling for resources that match this filter.
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},
@@ -444,8 +444,8 @@ <h3>Method Details</h3>
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},
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"others": { # Match discovery resources not covered by any other filter. # Catch-all. This should always be the last target in the list because anything above it will apply first. Should only appear once in a configuration. If none is specified, a default one will be added automatically.
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},
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"vertexDatasetResourceReference": { # Identifies a single Vertex AI dataset. # The dataset resource to scan. Targets including this can only include one target (the target with this dataset resource reference).
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"datasetResourceName": "A String", # Required. The name of the dataset resource. If set within a project-level configuration, the specified resource must be within the project.
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"vertexDatasetResourceReference": { # Identifies a single Vertex AI resource. Currently only datasets are supported. # The dataset resource to scan. Targets including this can only include one target (the target with this dataset resource reference).
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"datasetResourceName": "A String", # Required. The name of the Vertex AI resource. If set within a project-level configuration, the specified resource must be within the project. Examples: * `projects/{project}/locations/{location}/datasets/{dataset}`
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},
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},
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"generationCadence": { # How often existing datasets should have their profiles refreshed. New datasets are scanned as quickly as possible depending on system capacity. # How often and when to update profiles. New datasets that match both the filter and conditions are scanned as quickly as possible depending on system capacity.
@@ -743,7 +743,7 @@ <h3>Method Details</h3>
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"minAge": "A String", # Minimum age a resource must be before Cloud DLP can profile it. Value must be 1 hour or greater.
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},
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"dataSourceType": { # Message used to identify the type of resource being profiled. # Required. The type of data profiles generated by this discovery target. Supported values are: * aws/s3/bucket
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"dataSource": "A String", # Output only. An identifying string to the type of resource being profiled. Current values: * google/bigquery/table * google/project * google/sql/table * google/gcs/bucket
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"dataSource": "A String", # An identifying string to the type of resource being profiled. Current values: * google/bigquery/table * google/project * google/sql/table * google/gcs/bucket
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},
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"disabled": { # Do not profile the tables. # Disable profiling for resources that match this filter.
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},
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},
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"others": { # Match discovery resources not covered by any other filter. # Catch-all. This should always be the last target in the list because anything above it will apply first. Should only appear once in a configuration. If none is specified, a default one will be added automatically.
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},
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"vertexDatasetResourceReference": { # Identifies a single Vertex AI dataset. # The dataset resource to scan. Targets including this can only include one target (the target with this dataset resource reference).
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"datasetResourceName": "A String", # Required. The name of the dataset resource. If set within a project-level configuration, the specified resource must be within the project.
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"vertexDatasetResourceReference": { # Identifies a single Vertex AI resource. Currently only datasets are supported. # The dataset resource to scan. Targets including this can only include one target (the target with this dataset resource reference).
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"datasetResourceName": "A String", # Required. The name of the Vertex AI resource. If set within a project-level configuration, the specified resource must be within the project. Examples: * `projects/{project}/locations/{location}/datasets/{dataset}`
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},
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},
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"generationCadence": { # How often existing datasets should have their profiles refreshed. New datasets are scanned as quickly as possible depending on system capacity. # How often and when to update profiles. New datasets that match both the filter and conditions are scanned as quickly as possible depending on system capacity.
@@ -1124,7 +1124,7 @@ <h3>Method Details</h3>
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"minAge": "A String", # Minimum age a resource must be before Cloud DLP can profile it. Value must be 1 hour or greater.
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},
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"dataSourceType": { # Message used to identify the type of resource being profiled. # Required. The type of data profiles generated by this discovery target. Supported values are: * aws/s3/bucket
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"dataSource": "A String", # Output only. An identifying string to the type of resource being profiled. Current values: * google/bigquery/table * google/project * google/sql/table * google/gcs/bucket
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"dataSource": "A String", # An identifying string to the type of resource being profiled. Current values: * google/bigquery/table * google/project * google/sql/table * google/gcs/bucket
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},
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"disabled": { # Do not profile the tables. # Disable profiling for resources that match this filter.
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},
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},
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"others": { # Match discovery resources not covered by any other filter. # Catch-all. This should always be the last target in the list because anything above it will apply first. Should only appear once in a configuration. If none is specified, a default one will be added automatically.
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},
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"vertexDatasetResourceReference": { # Identifies a single Vertex AI dataset. # The dataset resource to scan. Targets including this can only include one target (the target with this dataset resource reference).
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"datasetResourceName": "A String", # Required. The name of the dataset resource. If set within a project-level configuration, the specified resource must be within the project.
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"vertexDatasetResourceReference": { # Identifies a single Vertex AI resource. Currently only datasets are supported. # The dataset resource to scan. Targets including this can only include one target (the target with this dataset resource reference).
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"datasetResourceName": "A String", # Required. The name of the Vertex AI resource. If set within a project-level configuration, the specified resource must be within the project. Examples: * `projects/{project}/locations/{location}/datasets/{dataset}`
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},
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},
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"generationCadence": { # How often existing datasets should have their profiles refreshed. New datasets are scanned as quickly as possible depending on system capacity. # How often and when to update profiles. New datasets that match both the filter and conditions are scanned as quickly as possible depending on system capacity.
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"minAge": "A String", # Minimum age a resource must be before Cloud DLP can profile it. Value must be 1 hour or greater.
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},
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"dataSourceType": { # Message used to identify the type of resource being profiled. # Required. The type of data profiles generated by this discovery target. Supported values are: * aws/s3/bucket
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"dataSource": "A String", # Output only. An identifying string to the type of resource being profiled. Current values: * google/bigquery/table * google/project * google/sql/table * google/gcs/bucket
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"dataSource": "A String", # An identifying string to the type of resource being profiled. Current values: * google/bigquery/table * google/project * google/sql/table * google/gcs/bucket
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},
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"disabled": { # Do not profile the tables. # Disable profiling for resources that match this filter.
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},
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},
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"others": { # Match discovery resources not covered by any other filter. # Catch-all. This should always be the last target in the list because anything above it will apply first. Should only appear once in a configuration. If none is specified, a default one will be added automatically.
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},
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"vertexDatasetResourceReference": { # Identifies a single Vertex AI dataset. # The dataset resource to scan. Targets including this can only include one target (the target with this dataset resource reference).
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"datasetResourceName": "A String", # Required. The name of the dataset resource. If set within a project-level configuration, the specified resource must be within the project.
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"vertexDatasetResourceReference": { # Identifies a single Vertex AI resource. Currently only datasets are supported. # The dataset resource to scan. Targets including this can only include one target (the target with this dataset resource reference).
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"datasetResourceName": "A String", # Required. The name of the Vertex AI resource. If set within a project-level configuration, the specified resource must be within the project. Examples: * `projects/{project}/locations/{location}/datasets/{dataset}`
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},
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},
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"generationCadence": { # How often existing datasets should have their profiles refreshed. New datasets are scanned as quickly as possible depending on system capacity. # How often and when to update profiles. New datasets that match both the filter and conditions are scanned as quickly as possible depending on system capacity.
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"minAge": "A String", # Minimum age a resource must be before Cloud DLP can profile it. Value must be 1 hour or greater.
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},
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"dataSourceType": { # Message used to identify the type of resource being profiled. # Required. The type of data profiles generated by this discovery target. Supported values are: * aws/s3/bucket
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"dataSource": "A String", # Output only. An identifying string to the type of resource being profiled. Current values: * google/bigquery/table * google/project * google/sql/table * google/gcs/bucket
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"dataSource": "A String", # An identifying string to the type of resource being profiled. Current values: * google/bigquery/table * google/project * google/sql/table * google/gcs/bucket
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},
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"disabled": { # Do not profile the tables. # Disable profiling for resources that match this filter.
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},
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},
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"others": { # Match discovery resources not covered by any other filter. # Catch-all. This should always be the last target in the list because anything above it will apply first. Should only appear once in a configuration. If none is specified, a default one will be added automatically.
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},
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"vertexDatasetResourceReference": { # Identifies a single Vertex AI dataset. # The dataset resource to scan. Targets including this can only include one target (the target with this dataset resource reference).
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"datasetResourceName": "A String", # Required. The name of the dataset resource. If set within a project-level configuration, the specified resource must be within the project.
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"vertexDatasetResourceReference": { # Identifies a single Vertex AI resource. Currently only datasets are supported. # The dataset resource to scan. Targets including this can only include one target (the target with this dataset resource reference).
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"datasetResourceName": "A String", # Required. The name of the Vertex AI resource. If set within a project-level configuration, the specified resource must be within the project. Examples: * `projects/{project}/locations/{location}/datasets/{dataset}`
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},
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},
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"generationCadence": { # How often existing datasets should have their profiles refreshed. New datasets are scanned as quickly as possible depending on system capacity. # How often and when to update profiles. New datasets that match both the filter and conditions are scanned as quickly as possible depending on system capacity.
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"minAge": "A String", # Minimum age a resource must be before Cloud DLP can profile it. Value must be 1 hour or greater.
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},
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"dataSourceType": { # Message used to identify the type of resource being profiled. # Required. The type of data profiles generated by this discovery target. Supported values are: * aws/s3/bucket
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"dataSource": "A String", # Output only. An identifying string to the type of resource being profiled. Current values: * google/bigquery/table * google/project * google/sql/table * google/gcs/bucket
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"dataSource": "A String", # An identifying string to the type of resource being profiled. Current values: * google/bigquery/table * google/project * google/sql/table * google/gcs/bucket
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},
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"disabled": { # Do not profile the tables. # Disable profiling for resources that match this filter.
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},
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},
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"others": { # Match discovery resources not covered by any other filter. # Catch-all. This should always be the last target in the list because anything above it will apply first. Should only appear once in a configuration. If none is specified, a default one will be added automatically.
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},
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"vertexDatasetResourceReference": { # Identifies a single Vertex AI dataset. # The dataset resource to scan. Targets including this can only include one target (the target with this dataset resource reference).
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"datasetResourceName": "A String", # Required. The name of the dataset resource. If set within a project-level configuration, the specified resource must be within the project.
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"vertexDatasetResourceReference": { # Identifies a single Vertex AI resource. Currently only datasets are supported. # The dataset resource to scan. Targets including this can only include one target (the target with this dataset resource reference).
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"datasetResourceName": "A String", # Required. The name of the Vertex AI resource. If set within a project-level configuration, the specified resource must be within the project. Examples: * `projects/{project}/locations/{location}/datasets/{dataset}`
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},
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},
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"generationCadence": { # How often existing datasets should have their profiles refreshed. New datasets are scanned as quickly as possible depending on system capacity. # How often and when to update profiles. New datasets that match both the filter and conditions are scanned as quickly as possible depending on system capacity.
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