Class DataprocMetastoreAsyncClient (1.9.1)

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}.

Returns the transport used by the client instance.

Instantiates the dataproc metastore client.

Alter metadata resource location. The metadata resource can be a database, table, or partition. This functionality only updates the parent directory for the respective metadata resource and does not transfer any existing data to the new location.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import metastore_v1alpha

async def sample_alter_metadata_resource_location():
    # Create a client
    client = metastore_v1alpha.DataprocMetastoreAsyncClient()

    # Initialize request argument(s)
    request = metastore_v1alpha.AlterMetadataResourceLocationRequest(
        service="service_value",
        resource_name="resource_name_value",
        location_uri="location_uri_value",
    )

    # Make the request
    operation = client.alter_metadata_resource_location(request=request)

    print("Waiting for operation to complete...")

    response = (await operation).result()

    # Handle the response
    print(response)

Returns a fully-qualified backup string.

Returns a fully-qualified billing_account string.

Returns a fully-qualified folder string.

Returns a fully-qualified location string.

Returns a fully-qualified organization string.

Returns a fully-qualified project string.

Creates a new backup in a given project and location.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import metastore_v1alpha

async def sample_create_backup():
    # Create a client
    client = metastore_v1alpha.DataprocMetastoreAsyncClient()

    # Initialize request argument(s)
    request = metastore_v1alpha.CreateBackupRequest(
        parent="parent_value",
        backup_id="backup_id_value",
    )

    # Make the request
    operation = client.create_backup(request=request)

    print("Waiting for operation to complete...")

    response = (await operation).result()

    # Handle the response
    print(response)

Creates a new MetadataImport in a given project and location.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import metastore_v1alpha

async def sample_create_metadata_import():
    # Create a client
    client = metastore_v1alpha.DataprocMetastoreAsyncClient()

    # Initialize request argument(s)
    request = metastore_v1alpha.CreateMetadataImportRequest(
        parent="parent_value",
        metadata_import_id="metadata_import_id_value",
    )

    # Make the request
    operation = client.create_metadata_import(request=request)

    print("Waiting for operation to complete...")

    response = (await operation).result()

    # Handle the response
    print(response)

Creates a metastore service in a project and location.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import metastore_v1alpha

async def sample_create_service():
    # Create a client
    client = metastore_v1alpha.DataprocMetastoreAsyncClient()

    # Initialize request argument(s)
    request = metastore_v1alpha.CreateServiceRequest(
        parent="parent_value",
        service_id="service_id_value",
    )

    # Make the request
    operation = client.create_service(request=request)

    print("Waiting for operation to complete...")

    response = (await operation).result()

    # Handle the response
    print(response)

Deletes a single backup.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import metastore_v1alpha

async def sample_delete_backup():
    # Create a client
    client = metastore_v1alpha.DataprocMetastoreAsyncClient()

    # Initialize request argument(s)
    request = metastore_v1alpha.DeleteBackupRequest(
        name="name_value",
    )

    # Make the request
    operation = client.delete_backup(request=request)

    print("Waiting for operation to complete...")

    response = (await operation).result()

    # Handle the response
    print(response)

Deletes a single service.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import metastore_v1alpha

async def sample_delete_service():
    # Create a client
    client = metastore_v1alpha.DataprocMetastoreAsyncClient()

    # Initialize request argument(s)
    request = metastore_v1alpha.DeleteServiceRequest(
        name="name_value",
    )

    # Make the request
    operation = client.delete_service(request=request)

    print("Waiting for operation to complete...")

    response = (await operation).result()

    # Handle the response
    print(response)

Exports metadata from a service.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import metastore_v1alpha

async def sample_export_metadata():
    # Create a client
    client = metastore_v1alpha.DataprocMetastoreAsyncClient()

    # Initialize request argument(s)
    request = metastore_v1alpha.ExportMetadataRequest(
        destination_gcs_folder="destination_gcs_folder_value",
        service="service_value",
    )

    # Make the request
    operation = client.export_metadata(request=request)

    print("Waiting for operation to complete...")

    response = (await operation).result()

    # Handle the response
    print(response)

Creates an instance of this client using the provided credentials file.

Creates an instance of this client using the provided credentials info.

Creates an instance of this client using the provided credentials file.

Gets details of a single backup.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import metastore_v1alpha

async def sample_get_backup():
    # Create a client
    client = metastore_v1alpha.DataprocMetastoreAsyncClient()

    # Initialize request argument(s)
    request = metastore_v1alpha.GetBackupRequest(
        name="name_value",
    )

    # Make the request
    response = await client.get_backup(request=request)

    # Handle the response
    print(response)

Gets details of a single import.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import metastore_v1alpha

async def sample_get_metadata_import():
    # Create a client
    client = metastore_v1alpha.DataprocMetastoreAsyncClient()

    # Initialize request argument(s)
    request = metastore_v1alpha.GetMetadataImportRequest(
        name="name_value",
    )

    # Make the request
    response = await client.get_metadata_import(request=request)

    # Handle the response
    print(response)

Return the API endpoint and client cert source for mutual TLS.

The client cert source is determined in the following order: (1) if GOOGLE_API_USE_CLIENT_CERTIFICATE environment variable is not "true", the client cert source is None. (2) if client_options.client_cert_source is provided, use the provided one; if the default client cert source exists, use the default one; otherwise the client cert source is None.

The API endpoint is determined in the following order: (1) if client_options.api_endpoint if provided, use the provided one. (2) if GOOGLE_API_USE_CLIENT_CERTIFICATE environment variable is "always", use the default mTLS endpoint; if the environment variable is "never", use the default API endpoint; otherwise if client cert source exists, use the default mTLS endpoint, otherwise use the default API endpoint.

More details can be found at https://google.aip.dev/auth/4114.

Gets the details of a single service.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import metastore_v1alpha

async def sample_get_service():
    # Create a client
    client = metastore_v1alpha.DataprocMetastoreAsyncClient()

    # Initialize request argument(s)
    request = metastore_v1alpha.GetServiceRequest(
        name="name_value",
    )

    # Make the request
    response = await client.get_service(request=request)

    # Handle the response
    print(response)

Returns an appropriate transport class.

Returns a fully-qualified lake string.

Lists backups in a service.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import metastore_v1alpha

async def sample_list_backups():
    # Create a client
    client = metastore_v1alpha.DataprocMetastoreAsyncClient()

    # Initialize request argument(s)
    request = metastore_v1alpha.ListBackupsRequest(
        parent="parent_value",
    )

    # Make the request
    page_result = client.list_backups(request=request)

    # Handle the response
    async for response in page_result:
        print(response)

Lists imports in a service.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import metastore_v1alpha

async def sample_list_metadata_imports():
    # Create a client
    client = metastore_v1alpha.DataprocMetastoreAsyncClient()

    # Initialize request argument(s)
    request = metastore_v1alpha.ListMetadataImportsRequest(
        parent="parent_value",
    )

    # Make the request
    page_result = client.list_metadata_imports(request=request)

    # Handle the response
    async for response in page_result:
        print(response)

Lists services in a project and location.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import metastore_v1alpha

async def sample_list_services():
    # Create a client
    client = metastore_v1alpha.DataprocMetastoreAsyncClient()

    # Initialize request argument(s)
    request = metastore_v1alpha.ListServicesRequest(
        parent="parent_value",
    )

    # Make the request
    page_result = client.list_services(request=request)

    # Handle the response
    async for response in page_result:
        print(response)

Returns a fully-qualified metadata_import string.

Move a table to another database.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import metastore_v1alpha

async def sample_move_table_to_database():
    # Create a client
    client = metastore_v1alpha.DataprocMetastoreAsyncClient()

    # Initialize request argument(s)
    request = metastore_v1alpha.MoveTableToDatabaseRequest(
        service="service_value",
        table_name="table_name_value",
        db_name="db_name_value",
        destination_db_name="destination_db_name_value",
    )

    # Make the request
    operation = client.move_table_to_database(request=request)

    print("Waiting for operation to complete...")

    response = (await operation).result()

    # Handle the response
    print(response)

Returns a fully-qualified network string.

Parses a backup path into its component segments.

Parse a billing_account path into its component segments.

Parse a folder path into its component segments.

Parse a location path into its component segments.

Parse a organization path into its component segments.

Parse a project path into its component segments.

Parses a lake path into its component segments.

Parses a metadata_import path into its component segments.

Parses a network path into its component segments.

Parses a service path into its component segments.

Parses a subnetwork path into its component segments.

Query DPMS metadata.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import metastore_v1alpha

async def sample_query_metadata():
    # Create a client
    client = metastore_v1alpha.DataprocMetastoreAsyncClient()

    # Initialize request argument(s)
    request = metastore_v1alpha.QueryMetadataRequest(
        service="service_value",
        query="query_value",
    )

    # Make the request
    operation = client.query_metadata(request=request)

    print("Waiting for operation to complete...")

    response = (await operation).result()

    # Handle the response
    print(response)

Removes the attached IAM policies for a resource

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import metastore_v1alpha

async def sample_remove_iam_policy():
    # Create a client
    client = metastore_v1alpha.DataprocMetastoreAsyncClient()

    # Initialize request argument(s)
    request = metastore_v1alpha.RemoveIamPolicyRequest(
        resource="resource_value",
    )

    # Make the request
    response = await client.remove_iam_policy(request=request)

    # Handle the response
    print(response)

Restores a service from a backup.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import metastore_v1alpha

async def sample_restore_service():
    # Create a client
    client = metastore_v1alpha.DataprocMetastoreAsyncClient()

    # Initialize request argument(s)
    request = metastore_v1alpha.RestoreServiceRequest(
        service="service_value",
        backup="backup_value",
    )

    # Make the request
    operation = client.restore_service(request=request)

    print("Waiting for operation to complete...")

    response = (await operation).result()

    # Handle the response
    print(response)

Returns a fully-qualified service string.

Returns a fully-qualified subnetwork string.

Updates a single import. Only the description field of MetadataImport is supported to be updated.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import metastore_v1alpha

async def sample_update_metadata_import():
    # Create a client
    client = metastore_v1alpha.DataprocMetastoreAsyncClient()

    # Initialize request argument(s)
    request = metastore_v1alpha.UpdateMetadataImportRequest(
    )

    # Make the request
    operation = client.update_metadata_import(request=request)

    print("Waiting for operation to complete...")

    response = (await operation).result()

    # Handle the response
    print(response)

Updates the parameters of a single service.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import metastore_v1alpha

async def sample_update_service():
    # Create a client
    client = metastore_v1alpha.DataprocMetastoreAsyncClient()

    # Initialize request argument(s)
    request = metastore_v1alpha.UpdateServiceRequest(
    )

    # Make the request
    operation = client.update_service(request=request)

    print("Waiting for operation to complete...")

    response = (await operation).result()

    # Handle the response
    print(response)