Package Classes (1.16.1)

Configures and manages metastore services. Metastore services are fully managed, highly available, autoscaled, autohealing, OSS-native deployments of technical metadata management software. Each metastore service exposes a network endpoint through which metadata queries are served. Metadata queries can originate from a variety of sources, including Apache Hive, Apache Presto, and Apache Spark.

The Dataproc Metastore API defines the following resource model:

• The service works with a collection of Google Cloud projects, named: /projects/*

• Each project has a collection of available locations, named: /locations/* (a location must refer to a Google Cloud region)

• Each location has a collection of services, named: /services/*

• Dataproc Metastore services are resources with names of the form:

  /projects/{project_number}/locations/{location_id}/services/{service_id}.

Configures and manages metastore services. Metastore services are fully managed, highly available, autoscaled, autohealing, OSS-native deployments of technical metadata management software. Each metastore service exposes a network endpoint through which metadata queries are served. Metadata queries can originate from a variety of sources, including Apache Hive, Apache Presto, and Apache Spark.

The Dataproc Metastore API defines the following resource model:

• The service works with a collection of Google Cloud projects, named: /projects/*

• Each project has a collection of available locations, named: /locations/* (a location must refer to a Google Cloud region)

• Each location has a collection of services, named: /services/*

• Dataproc Metastore services are resources with names of the form:

  /projects/{project_number}/locations/{location_id}/services/{service_id}.

A pager for iterating through list_backups requests.

This class thinly wraps an initial ListBackupsResponse object, and provides an __aiter__ method to iterate through its backups field.

If there are more pages, the __aiter__ method will make additional ListBackups requests and continue to iterate through the backups field on the corresponding responses.

All the usual ListBackupsResponse attributes are available on the pager. If multiple requests are made, only the most recent response is retained, and thus used for attribute lookup.

A pager for iterating through list_backups requests.

This class thinly wraps an initial ListBackupsResponse object, and provides an __iter__ method to iterate through its backups field.

If there are more pages, the __iter__ method will make additional ListBackups requests and continue to iterate through the backups field on the corresponding responses.

All the usual ListBackupsResponse attributes are available on the pager. If multiple requests are made, only the most recent response is retained, and thus used for attribute lookup.

A pager for iterating through list_metadata_imports requests.

This class thinly wraps an initial ListMetadataImportsResponse object, and provides an __aiter__ method to iterate through its metadata_imports field.

If there are more pages, the __aiter__ method will make additional ListMetadataImports requests and continue to iterate through the metadata_imports field on the corresponding responses.

All the usual ListMetadataImportsResponse attributes are available on the pager. If multiple requests are made, only the most recent response is retained, and thus used for attribute lookup.

A pager for iterating through list_metadata_imports requests.

This class thinly wraps an initial ListMetadataImportsResponse object, and provides an __iter__ method to iterate through its metadata_imports field.

If there are more pages, the __iter__ method will make additional ListMetadataImports requests and continue to iterate through the metadata_imports field on the corresponding responses.

All the usual ListMetadataImportsResponse attributes are available on the pager. If multiple requests are made, only the most recent response is retained, and thus used for attribute lookup.

A pager for iterating through list_services requests.

This class thinly wraps an initial ListServicesResponse object, and provides an __aiter__ method to iterate through its services field.

If there are more pages, the __aiter__ method will make additional ListServices requests and continue to iterate through the services field on the corresponding responses.

All the usual ListServicesResponse attributes are available on the pager. If multiple requests are made, only the most recent response is retained, and thus used for attribute lookup.

A pager for iterating through list_services requests.

This class thinly wraps an initial ListServicesResponse object, and provides an __iter__ method to iterate through its services field.

If there are more pages, the __iter__ method will make additional ListServices requests and continue to iterate through the services field on the corresponding responses.

All the usual ListServicesResponse attributes are available on the pager. If multiple requests are made, only the most recent response is retained, and thus used for attribute lookup.

Configures and manages metastore federation services. Dataproc Metastore Federation Service allows federating a collection of backend metastores like BigQuery, Dataplex Lakes, and other Dataproc Metastores. The Federation Service exposes a gRPC URL through which metadata from the backend metastores are served at query time.

The Dataproc Metastore Federation API defines the following resource model:

• The service works with a collection of Google Cloud projects.
• Each project has a collection of available locations.
• Each location has a collection of federations.
• Dataproc Metastore Federations are resources with names of the form: projects/{project_number}/locations/{location_id}/federations/{federation_id}.

Configures and manages metastore federation services. Dataproc Metastore Federation Service allows federating a collection of backend metastores like BigQuery, Dataplex Lakes, and other Dataproc Metastores. The Federation Service exposes a gRPC URL through which metadata from the backend metastores are served at query time.

The Dataproc Metastore Federation API defines the following resource model:

• The service works with a collection of Google Cloud projects.
• Each project has a collection of available locations.
• Each location has a collection of federations.
• Dataproc Metastore Federations are resources with names of the form: projects/{project_number}/locations/{location_id}/federations/{federation_id}.

A pager for iterating through list_federations requests.

This class thinly wraps an initial ListFederationsResponse object, and provides an __aiter__ method to iterate through its federations field.

If there are more pages, the __aiter__ method will make additional ListFederations requests and continue to iterate through the federations field on the corresponding responses.

All the usual ListFederationsResponse attributes are available on the pager. If multiple requests are made, only the most recent response is retained, and thus used for attribute lookup.

A pager for iterating through list_federations requests.

This class thinly wraps an initial ListFederationsResponse object, and provides an __iter__ method to iterate through its federations field.

If there are more pages, the __iter__ method will make additional ListFederations requests and continue to iterate through the federations field on the corresponding responses.

All the usual ListFederationsResponse attributes are available on the pager. If multiple requests are made, only the most recent response is retained, and thus used for attribute lookup.

Request message for DataprocMetastore.AlterMetadataResourceLocation.

Response message for DataprocMetastore.AlterMetadataResourceLocation.

Configuration information for the auxiliary service versions.

The abstract base class for a message.

Represents a backend metastore for the federation.

The type of the backend metastore.

The details of a backup resource.

The current state of the backup.

Request message for DataprocMetastore.CreateBackup.

Request message for CreateFederation.

Request message for DataprocMetastore.CreateMetadataImport.

Request message for DataprocMetastore.CreateService.

The specification of database dump to import from or export to.

The type of the database dump.

Request message for DataprocMetastore.DeleteBackup.

Request message for DeleteFederation.

Request message for DataprocMetastore.DeleteService.

Encryption settings for the service.

Error details in public error message for DataprocMetastore.QueryMetadata.

The abstract base class for a message.

Request message for DataprocMetastore.ExportMetadata.

.. _oneof: https://proto-plus-python.readthedocs.io/en/stable/fields.html#oneofs-mutually-exclusive-fields

Represents a federation of multiple backend metastores.

The abstract base class for a message.

The abstract base class for a message.

The current state of the federation.

Request message for DataprocMetastore.GetBackup.

Request message for GetFederation.

Request message for DataprocMetastore.GetMetadataImport.

Request message for DataprocMetastore.GetService.

Specifies configuration information specific to running Hive metastore software as the metastore service.

The abstract base class for a message.

The abstract base class for a message.

Protocols available for serving the metastore service endpoint.

Configuration information for a Kerberos principal.

Request message for DataprocMetastore.ListBackups.

Response message for DataprocMetastore.ListBackups.

Request message for ListFederations.

Response message for ListFederations

Request message for DataprocMetastore.ListMetadataImports.

Response message for DataprocMetastore.ListMetadataImports.

Request message for DataprocMetastore.ListServices.

Response message for DataprocMetastore.ListServices.

Metadata about the service in a location.

A specification of a supported version of the Hive Metastore software.

Maintenance window. This specifies when Dataproc Metastore may perform system maintenance operation to the service.

The details of a metadata export operation.

.. _oneof: https://proto-plus-python.readthedocs.io/en/stable/fields.html#oneofs-mutually-exclusive-fields

The current state of the metadata export.

A metastore resource that imports metadata.

.. _oneof: https://proto-plus-python.readthedocs.io/en/stable/fields.html#oneofs-mutually-exclusive-fields

A specification of the location of and metadata about a database dump from a relational database management system.

The type of the database.

The current state of the metadata import.

The metadata management activities of the metastore service.

Request message for DataprocMetastore.MoveTableToDatabase.

Response message for DataprocMetastore.MoveTableToDatabase.

Network configuration for the Dataproc Metastore service.

Next available ID: 4

Contains information of the customer's network configurations. Next available ID: 5

.. _oneof: https://proto-plus-python.readthedocs.io/en/stable/fields.html#oneofs-mutually-exclusive-fields

Represents the metadata of a long-running operation.

Request message for DataprocMetastore.QueryMetadata.

Response message for DataprocMetastore.QueryMetadata.

The details of a metadata restore operation.

The type of restore. If unspecified, defaults to METADATA_ONLY.

The current state of the restore.

Request message for [DataprocMetastore.Restore][].

Represents the scaling configuration of a metastore service.

This message has oneof_ fields (mutually exclusive fields). For each oneof, at most one member field can be set at the same time. Setting any member of the oneof automatically clears all other members.

.. _oneof: https://proto-plus-python.readthedocs.io/en/stable/fields.html#oneofs-mutually-exclusive-fields

Metastore instance sizes.

A securely stored value.

.. _oneof: https://proto-plus-python.readthedocs.io/en/stable/fields.html#oneofs-mutually-exclusive-fields

A managed metastore service that serves metadata queries.

.. _oneof: https://proto-plus-python.readthedocs.io/en/stable/fields.html#oneofs-mutually-exclusive-fields

The backend database type for the metastore service.

The abstract base class for a message.

Release channels bundle features of varying levels of stability. Newer features may be introduced initially into less stable release channels and can be automatically promoted into more stable release channels.

The current state of the metastore service.

Available service tiers.

Telemetry Configuration for the Dataproc Metastore service.

Request message for UpdateFederation.

Request message for DataprocMetastore.UpdateMetadataImport.

Request message for DataprocMetastore.UpdateService.

Configures and manages metastore services. Metastore services are fully managed, highly available, autoscaled, autohealing, OSS-native deployments of technical metadata management software. Each metastore service exposes a network endpoint through which metadata queries are served. Metadata queries can originate from a variety of sources, including Apache Hive, Apache Presto, and Apache Spark.

The Dataproc Metastore API defines the following resource model:

• The service works with a collection of Google Cloud projects, named: /projects/*

• Each project has a collection of available locations, named: /locations/* (a location must refer to a Google Cloud region)

• Each location has a collection of services, named: /services/*

• Dataproc Metastore services are resources with names of the form:

  /projects/{project_number}/locations/{location_id}/services/{service_id}.

Configures and manages metastore services. Metastore services are fully managed, highly available, autoscaled, autohealing, OSS-native deployments of technical metadata management software. Each metastore service exposes a network endpoint through which metadata queries are served. Metadata queries can originate from a variety of sources, including Apache Hive, Apache Presto, and Apache Spark.

The Dataproc Metastore API defines the following resource model:

• The service works with a collection of Google Cloud projects, named: /projects/*

• Each project has a collection of available locations, named: /locations/* (a location must refer to a Google Cloud region)

• Each location has a collection of services, named: /services/*

• Dataproc Metastore services are resources with names of the form:

  /projects/{project_number}/locations/{location_id}/services/{service_id}.

A pager for iterating through list_backups requests.

This class thinly wraps an initial ListBackupsResponse object, and provides an __aiter__ method to iterate through its backups field.

If there are more pages, the __aiter__ method will make additional ListBackups requests and continue to iterate through the backups field on the corresponding responses.

All the usual ListBackupsResponse attributes are available on the pager. If multiple requests are made, only the most recent response is retained, and thus used for attribute lookup.

A pager for iterating through list_backups requests.

This class thinly wraps an initial ListBackupsResponse object, and provides an __iter__ method to iterate through its backups field.

If there are more pages, the __iter__ method will make additional ListBackups requests and continue to iterate through the backups field on the corresponding responses.

All the usual ListBackupsResponse attributes are available on the pager. If multiple requests are made, only the most recent response is retained, and thus used for attribute lookup.

A pager for iterating through list_metadata_imports requests.

This class thinly wraps an initial ListMetadataImportsResponse object, and provides an __aiter__ method to iterate through its metadata_imports field.

If there are more pages, the __aiter__ method will make additional ListMetadataImports requests and continue to iterate through the metadata_imports field on the corresponding responses.

All the usual ListMetadataImportsResponse attributes are available on the pager. If multiple requests are made, only the most recent response is retained, and thus used for attribute lookup.

A pager for iterating through list_metadata_imports requests.

This class thinly wraps an initial ListMetadataImportsResponse object, and provides an __iter__ method to iterate through its metadata_imports field.

If there are more pages, the __iter__ method will make additional ListMetadataImports requests and continue to iterate through the metadata_imports field on the corresponding responses.

All the usual ListMetadataImportsResponse attributes are available on the pager. If multiple requests are made, only the most recent response is retained, and thus used for attribute lookup.

A pager for iterating through list_services requests.

This class thinly wraps an initial ListServicesResponse object, and provides an __aiter__ method to iterate through its services field.

If there are more pages, the __aiter__ method will make additional ListServices requests and continue to iterate through the services field on the corresponding responses.

All the usual ListServicesResponse attributes are available on the pager. If multiple requests are made, only the most recent response is retained, and thus used for attribute lookup.

A pager for iterating through list_services requests.

This class thinly wraps an initial ListServicesResponse object, and provides an __iter__ method to iterate through its services field.

If there are more pages, the __iter__ method will make additional ListServices requests and continue to iterate through the services field on the corresponding responses.

All the usual ListServicesResponse attributes are available on the pager. If multiple requests are made, only the most recent response is retained, and thus used for attribute lookup.

Configures and manages metastore federation services. Dataproc Metastore Federation Service allows federating a collection of backend metastores like BigQuery, Dataplex Lakes, and other Dataproc Metastores. The Federation Service exposes a gRPC URL through which metadata from the backend metastores are served at query time.

The Dataproc Metastore Federation API defines the following resource model:

• The service works with a collection of Google Cloud projects.
• Each project has a collection of available locations.
• Each location has a collection of federations.
• Dataproc Metastore Federations are resources with names of the form: projects/{project_number}/locations/{location_id}/federations/{federation_id}.

Configures and manages metastore federation services. Dataproc Metastore Federation Service allows federating a collection of backend metastores like BigQuery, Dataplex Lakes, and other Dataproc Metastores. The Federation Service exposes a gRPC URL through which metadata from the backend metastores are served at query time.

The Dataproc Metastore Federation API defines the following resource model:

• The service works with a collection of Google Cloud projects.
• Each project has a collection of available locations.
• Each location has a collection of federations.
• Dataproc Metastore Federations are resources with names of the form: projects/{project_number}/locations/{location_id}/federations/{federation_id}.

A pager for iterating through list_federations requests.

This class thinly wraps an initial ListFederationsResponse object, and provides an __aiter__ method to iterate through its federations field.

If there are more pages, the __aiter__ method will make additional ListFederations requests and continue to iterate through the federations field on the corresponding responses.

All the usual ListFederationsResponse attributes are available on the pager. If multiple requests are made, only the most recent response is retained, and thus used for attribute lookup.

A pager for iterating through list_federations requests.

This class thinly wraps an initial ListFederationsResponse object, and provides an __iter__ method to iterate through its federations field.

If there are more pages, the __iter__ method will make additional ListFederations requests and continue to iterate through the federations field on the corresponding responses.

All the usual ListFederationsResponse attributes are available on the pager. If multiple requests are made, only the most recent response is retained, and thus used for attribute lookup.

Request message for DataprocMetastore.AlterMetadataResourceLocation.

Response message for DataprocMetastore.AlterMetadataResourceLocation.

Configuration information for the auxiliary service versions.

The abstract base class for a message.

Represents a backend metastore for the federation.

The type of the backend metastore.

The details of a backup resource.

The current state of the backup.

Request message for DataprocMetastore.CreateBackup.

Request message for CreateFederation.

Request message for DataprocMetastore.CreateMetadataImport.

Request message for DataprocMetastore.CreateService.

Specifies how metastore metadata should be integrated with the Data Catalog service.

The specification of database dump to import from or export to.

The type of the database dump.

Specifies how metastore metadata should be integrated with the Dataplex service.

The abstract base class for a message.

Request message for DataprocMetastore.DeleteBackup.

Request message for DeleteFederation.

Request message for DataprocMetastore.DeleteService.

Encryption settings for the service.

Error details in public error message for DataprocMetastore.QueryMetadata.

The abstract base class for a message.

Request message for DataprocMetastore.ExportMetadata.

.. _oneof: https://proto-plus-python.readthedocs.io/en/stable/fields.html#oneofs-mutually-exclusive-fields

Represents a federation of multiple backend metastores.

The abstract base class for a message.

The abstract base class for a message.

The current state of the federation.

Request message for DataprocMetastore.GetBackup.

Request message for GetFederation.

Request message for DataprocMetastore.GetMetadataImport.

Request message for DataprocMetastore.GetService.

Specifies configuration information specific to running Hive metastore software as the metastore service.

The abstract base class for a message.

The abstract base class for a message.

Protocols available for serving the metastore service endpoint.

Configuration information for a Kerberos principal.

Represents a Lake resource

Request message for DataprocMetastore.ListBackups.

Response message for DataprocMetastore.ListBackups.

Request message for ListFederations.

Response message for ListFederations

Request message for DataprocMetastore.ListMetadataImports.

Response message for DataprocMetastore.ListMetadataImports.

Request message for DataprocMetastore.ListServices.

Response message for DataprocMetastore.ListServices.

Metadata about the service in a location.

A specification of a supported version of the Hive Metastore software.

Maintenance window. This specifies when Dataproc Metastore may perform system maintenance operation to the service.

The details of a metadata export operation.

.. _oneof: https://proto-plus-python.readthedocs.io/en/stable/fields.html#oneofs-mutually-exclusive-fields

The current state of the metadata export.

A metastore resource that imports metadata.

.. _oneof: https://proto-plus-python.readthedocs.io/en/stable/fields.html#oneofs-mutually-exclusive-fields

A specification of the location of and metadata about a database dump from a relational database management system.

The type of the database.

The current state of the metadata import.

Specifies how metastore metadata should be integrated with external services.

The metadata management activities of the metastore service.

Request message for DataprocMetastore.MoveTableToDatabase.

Response message for DataprocMetastore.MoveTableToDatabase.

Network configuration for the Dataproc Metastore service.

Next available ID: 4

Contains information of the customer's network configurations. Next available ID: 5

.. _oneof: https://proto-plus-python.readthedocs.io/en/stable/fields.html#oneofs-mutually-exclusive-fields

Represents the metadata of a long-running operation.

Request message for DataprocMetastore.QueryMetadata.

Response message for DataprocMetastore.QueryMetadata.

Request message for DataprocMetastore.RemoveIamPolicy.

Response message for DataprocMetastore.RemoveIamPolicy.

The details of a metadata restore operation.

The type of restore. If unspecified, defaults to METADATA_ONLY.

The current state of the restore.

Request message for [DataprocMetastore.Restore][].

Represents the scaling configuration of a metastore service.

This message has oneof_ fields (mutually exclusive fields). For each oneof, at most one member field can be set at the same time. Setting any member of the oneof automatically clears all other members.

.. _oneof: https://proto-plus-python.readthedocs.io/en/stable/fields.html#oneofs-mutually-exclusive-fields

Metastore instance sizes.

A securely stored value.

.. _oneof: https://proto-plus-python.readthedocs.io/en/stable/fields.html#oneofs-mutually-exclusive-fields

A managed metastore service that serves metadata queries.

.. _oneof: https://proto-plus-python.readthedocs.io/en/stable/fields.html#oneofs-mutually-exclusive-fields

The backend database type for the metastore service.

The abstract base class for a message.

Release channels bundle features of varying levels of stability. Newer features may be introduced initially into less stable release channels and can be automatically promoted into more stable release channels.

The current state of the metastore service.

Available service tiers.

Telemetry Configuration for the Dataproc Metastore service.

Request message for UpdateFederation.

Request message for DataprocMetastore.UpdateMetadataImport.

Request message for DataprocMetastore.UpdateService.

Configures and manages metastore services. Metastore services are fully managed, highly available, autoscaled, autohealing, OSS-native deployments of technical metadata management software. Each metastore service exposes a network endpoint through which metadata queries are served. Metadata queries can originate from a variety of sources, including Apache Hive, Apache Presto, and Apache Spark.

The Dataproc Metastore API defines the following resource model:

• The service works with a collection of Google Cloud projects, named: /projects/*

• Each project has a collection of available locations, named: /locations/* (a location must refer to a Google Cloud region)

• Each location has a collection of services, named: /services/*

• Dataproc Metastore services are resources with names of the form:

  /projects/{project_number}/locations/{location_id}/services/{service_id}.

Configures and manages metastore services. Metastore services are fully managed, highly available, autoscaled, autohealing, OSS-native deployments of technical metadata management software. Each metastore service exposes a network endpoint through which metadata queries are served. Metadata queries can originate from a variety of sources, including Apache Hive, Apache Presto, and Apache Spark.

The Dataproc Metastore API defines the following resource model:

• The service works with a collection of Google Cloud projects, named: /projects/*

• Each project has a collection of available locations, named: /locations/* (a location must refer to a Google Cloud region)

• Each location has a collection of services, named: /services/*

• Dataproc Metastore services are resources with names of the form:

  /projects/{project_number}/locations/{location_id}/services/{service_id}.

A pager for iterating through list_backups requests.

This class thinly wraps an initial ListBackupsResponse object, and provides an __aiter__ method to iterate through its backups field.

If there are more pages, the __aiter__ method will make additional ListBackups requests and continue to iterate through the backups field on the corresponding responses.

All the usual ListBackupsResponse attributes are available on the pager. If multiple requests are made, only the most recent response is retained, and thus used for attribute lookup.

A pager for iterating through list_backups requests.

This class thinly wraps an initial ListBackupsResponse object, and provides an __iter__ method to iterate through its backups field.

If there are more pages, the __iter__ method will make additional ListBackups requests and continue to iterate through the backups field on the corresponding responses.

All the usual ListBackupsResponse attributes are available on the pager. If multiple requests are made, only the most recent response is retained, and thus used for attribute lookup.

A pager for iterating through list_metadata_imports requests.

This class thinly wraps an initial ListMetadataImportsResponse object, and provides an __aiter__ method to iterate through its metadata_imports field.

If there are more pages, the __aiter__ method will make additional ListMetadataImports requests and continue to iterate through the metadata_imports field on the corresponding responses.

All the usual ListMetadataImportsResponse attributes are available on the pager. If multiple requests are made, only the most recent response is retained, and thus used for attribute lookup.

A pager for iterating through list_metadata_imports requests.

This class thinly wraps an initial ListMetadataImportsResponse object, and provides an __iter__ method to iterate through its metadata_imports field.

If there are more pages, the __iter__ method will make additional ListMetadataImports requests and continue to iterate through the metadata_imports field on the corresponding responses.

All the usual ListMetadataImportsResponse attributes are available on the pager. If multiple requests are made, only the most recent response is retained, and thus used for attribute lookup.

A pager for iterating through list_services requests.

This class thinly wraps an initial ListServicesResponse object, and provides an __aiter__ method to iterate through its services field.

If there are more pages, the __aiter__ method will make additional ListServices requests and continue to iterate through the services field on the corresponding responses.

All the usual ListServicesResponse attributes are available on the pager. If multiple requests are made, only the most recent response is retained, and thus used for attribute lookup.

A pager for iterating through list_services requests.

This class thinly wraps an initial ListServicesResponse object, and provides an __iter__ method to iterate through its services field.

If there are more pages, the __iter__ method will make additional ListServices requests and continue to iterate through the services field on the corresponding responses.

All the usual ListServicesResponse attributes are available on the pager. If multiple requests are made, only the most recent response is retained, and thus used for attribute lookup.

Configures and manages metastore federation services. Dataproc Metastore Federation Service allows federating a collection of backend metastores like BigQuery, Dataplex Lakes, and other Dataproc Metastores. The Federation Service exposes a gRPC URL through which metadata from the backend metastores are served at query time.

The Dataproc Metastore Federation API defines the following resource model:

• The service works with a collection of Google Cloud projects.
• Each project has a collection of available locations.
• Each location has a collection of federations.
• Dataproc Metastore Federations are resources with names of the form: projects/{project_number}/locations/{location_id}/federations/{federation_id}.

Configures and manages metastore federation services. Dataproc Metastore Federation Service allows federating a collection of backend metastores like BigQuery, Dataplex Lakes, and other Dataproc Metastores. The Federation Service exposes a gRPC URL through which metadata from the backend metastores are served at query time.

The Dataproc Metastore Federation API defines the following resource model:

• The service works with a collection of Google Cloud projects.
• Each project has a collection of available locations.
• Each location has a collection of federations.
• Dataproc Metastore Federations are resources with names of the form: projects/{project_number}/locations/{location_id}/federations/{federation_id}.

A pager for iterating through list_federations requests.

This class thinly wraps an initial ListFederationsResponse object, and provides an __aiter__ method to iterate through its federations field.

If there are more pages, the __aiter__ method will make additional ListFederations requests and continue to iterate through the federations field on the corresponding responses.

All the usual ListFederationsResponse attributes are available on the pager. If multiple requests are made, only the most recent response is retained, and thus used for attribute lookup.

A pager for iterating through list_federations requests.

This class thinly wraps an initial ListFederationsResponse object, and provides an __iter__ method to iterate through its federations field.

If there are more pages, the __iter__ method will make additional ListFederations requests and continue to iterate through the federations field on the corresponding responses.

All the usual ListFederationsResponse attributes are available on the pager. If multiple requests are made, only the most recent response is retained, and thus used for attribute lookup.

Request message for DataprocMetastore.AlterMetadataResourceLocation.

Response message for DataprocMetastore.AlterMetadataResourceLocation.

Configuration information for the auxiliary service versions.

The abstract base class for a message.

Represents a backend metastore for the federation.

The type of the backend metastore.

The details of a backup resource.

The current state of the backup.

Request message for DataprocMetastore.CreateBackup.

Request message for CreateFederation.

Request message for DataprocMetastore.CreateMetadataImport.

Request message for DataprocMetastore.CreateService.

Specifies how metastore metadata should be integrated with the Data Catalog service.

The specification of database dump to import from or export to.

The type of the database dump.

Specifies how metastore metadata should be integrated with the Dataplex service.

The abstract base class for a message.

Request message for DataprocMetastore.DeleteBackup.

Request message for DeleteFederation.

Request message for DataprocMetastore.DeleteService.

Encryption settings for the service.

Error details in public error message for DataprocMetastore.QueryMetadata.

The abstract base class for a message.

Request message for DataprocMetastore.ExportMetadata.

.. _oneof: https://proto-plus-python.readthedocs.io/en/stable/fields.html#oneofs-mutually-exclusive-fields

Represents a federation of multiple backend metastores.

The abstract base class for a message.

The abstract base class for a message.

The current state of the federation.

Request message for DataprocMetastore.GetBackup.

Request message for GetFederation.

Request message for DataprocMetastore.GetMetadataImport.

Request message for DataprocMetastore.GetService.

Specifies configuration information specific to running Hive metastore software as the metastore service.

The abstract base class for a message.

The abstract base class for a message.

Protocols available for serving the metastore service endpoint.

Configuration information for a Kerberos principal.

Represents a Lake resource

Request message for DataprocMetastore.ListBackups.

Response message for DataprocMetastore.ListBackups.

Request message for ListFederations.

Response message for ListFederations

Request message for DataprocMetastore.ListMetadataImports.

Response message for DataprocMetastore.ListMetadataImports.

Request message for DataprocMetastore.ListServices.

Response message for DataprocMetastore.ListServices.

Metadata about the service in a location.

A specification of a supported version of the Hive Metastore software.

Maintenance window. This specifies when Dataproc Metastore may perform system maintenance operation to the service.

The details of a metadata export operation.

.. _oneof: https://proto-plus-python.readthedocs.io/en/stable/fields.html#oneofs-mutually-exclusive-fields

The current state of the metadata export.

A metastore resource that imports metadata.

.. _oneof: https://proto-plus-python.readthedocs.io/en/stable/fields.html#oneofs-mutually-exclusive-fields

A specification of the location of and metadata about a database dump from a relational database management system.

The type of the database.

The current state of the metadata import.

Specifies how metastore metadata should be integrated with external services.

The metadata management activities of the metastore service.

Request message for DataprocMetastore.MoveTableToDatabase.

Response message for DataprocMetastore.MoveTableToDatabase.

Network configuration for the Dataproc Metastore service.

Next available ID: 4

Contains information of the customer's network configurations. Next available ID: 5

.. _oneof: https://proto-plus-python.readthedocs.io/en/stable/fields.html#oneofs-mutually-exclusive-fields

Represents the metadata of a long-running operation.

Request message for DataprocMetastore.QueryMetadata.

Response message for DataprocMetastore.QueryMetadata.

Request message for DataprocMetastore.RemoveIamPolicy.

Response message for DataprocMetastore.RemoveIamPolicy.

The details of a metadata restore operation.

The type of restore. If unspecified, defaults to METADATA_ONLY.

The current state of the restore.

Request message for [DataprocMetastore.Restore][].

Represents the scaling configuration of a metastore service.

This message has oneof_ fields (mutually exclusive fields). For each oneof, at most one member field can be set at the same time. Setting any member of the oneof automatically clears all other members.

.. _oneof: https://proto-plus-python.readthedocs.io/en/stable/fields.html#oneofs-mutually-exclusive-fields

Metastore instance sizes.

A securely stored value.

.. _oneof: https://proto-plus-python.readthedocs.io/en/stable/fields.html#oneofs-mutually-exclusive-fields

A managed metastore service that serves metadata queries.

.. _oneof: https://proto-plus-python.readthedocs.io/en/stable/fields.html#oneofs-mutually-exclusive-fields

The backend database type for the metastore service.

The abstract base class for a message.

Release channels bundle features of varying levels of stability. Newer features may be introduced initially into less stable release channels and can be automatically promoted into more stable release channels.

The current state of the metastore service.

Available service tiers.

Telemetry Configuration for the Dataproc Metastore service.

Request message for UpdateFederation.

Request message for DataprocMetastore.UpdateMetadataImport.

Request message for DataprocMetastore.UpdateService.

API documentation for metastore_v1.services.dataproc_metastore.pagers module.

API documentation for metastore_v1.services.dataproc_metastore_federation.pagers module.

API documentation for metastore_v1alpha.services.dataproc_metastore.pagers module.

API documentation for metastore_v1alpha.services.dataproc_metastore_federation.pagers module.

API documentation for metastore_v1beta.services.dataproc_metastore.pagers module.

API documentation for metastore_v1beta.services.dataproc_metastore_federation.pagers module.