DataprocMetastoreAsyncClient(*, credentials: Optional[google.auth.credentials.Credentials] = None, transport: Union[str, google.cloud.metastore_v1beta.services.dataproc_metastore.transports.base.DataprocMetastoreTransport] = 'grpc_asyncio', client_options: Optional[google.api_core.client_options.ClientOptions] = None, client_info: google.api_core.gapic_v1.client_info.ClientInfo = <google.api_core.gapic_v1.client_info.ClientInfo object>)
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 Cloudregion
)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}
.
Properties
transport
Returns the transport used by the client instance.
Type | Description |
DataprocMetastoreTransport | The transport used by the client instance. |
Methods
DataprocMetastoreAsyncClient
DataprocMetastoreAsyncClient(*, credentials: Optional[google.auth.credentials.Credentials] = None, transport: Union[str, google.cloud.metastore_v1beta.services.dataproc_metastore.transports.base.DataprocMetastoreTransport] = 'grpc_asyncio', client_options: Optional[google.api_core.client_options.ClientOptions] = None, client_info: google.api_core.gapic_v1.client_info.ClientInfo = <google.api_core.gapic_v1.client_info.ClientInfo object>)
Instantiates the dataproc metastore client.
Name | Description |
credentials |
Optional[google.auth.credentials.Credentials]
The authorization credentials to attach to requests. These credentials identify the application to the service; if none are specified, the client will attempt to ascertain the credentials from the environment. |
transport |
Union[str,
The transport to use. If set to None, a transport is chosen automatically. |
client_options |
ClientOptions
Custom options for the client. It won't take effect if a |
Type | Description |
google.auth.exceptions.MutualTlsChannelError | If mutual TLS transport creation failed for any reason. |
alter_metadata_resource_location
alter_metadata_resource_location(request: Optional[Union[google.cloud.metastore_v1beta.types.metastore.AlterMetadataResourceLocationRequest, dict]] = None, *, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Union[float, object] = <_MethodDefault._DEFAULT_VALUE: <object object>>, metadata: Sequence[Tuple[str, str]] = ())
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_v1beta
async def sample_alter_metadata_resource_location():
# Create a client
client = metastore_v1beta.DataprocMetastoreAsyncClient()
# Initialize request argument(s)
request = metastore_v1beta.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)
Name | Description |
request |
Optional[Union[google.cloud.metastore_v1beta.types.AlterMetadataResourceLocationRequest, dict]]
The request object. Request message for DataprocMetastore.AlterMetadataResourceLocation. |
retry |
google.api_core.retry.Retry
Designation of what errors, if any, should be retried. |
timeout |
float
The timeout for this request. |
metadata |
Sequence[Tuple[str, str]]
Strings which should be sent along with the request as metadata. |
Type | Description |
google.api_core.operation_async.AsyncOperation | An object representing a long-running operation. The result type for the operation will be AlterMetadataResourceLocationResponse Response message for DataprocMetastore.AlterMetadataResourceLocation. |
backup_path
backup_path(project: str, location: str, service: str, backup: str)
Returns a fully-qualified backup string.
common_billing_account_path
common_billing_account_path(billing_account: str)
Returns a fully-qualified billing_account string.
common_folder_path
common_folder_path(folder: str)
Returns a fully-qualified folder string.
common_location_path
common_location_path(project: str, location: str)
Returns a fully-qualified location string.
common_organization_path
common_organization_path(organization: str)
Returns a fully-qualified organization string.
common_project_path
common_project_path(project: str)
Returns a fully-qualified project string.
create_backup
create_backup(request: Optional[Union[google.cloud.metastore_v1beta.types.metastore.CreateBackupRequest, dict]] = None, *, parent: Optional[str] = None, backup: Optional[google.cloud.metastore_v1beta.types.metastore.Backup] = None, backup_id: Optional[str] = None, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Union[float, object] = <_MethodDefault._DEFAULT_VALUE: <object object>>, metadata: Sequence[Tuple[str, str]] = ())
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_v1beta
async def sample_create_backup():
# Create a client
client = metastore_v1beta.DataprocMetastoreAsyncClient()
# Initialize request argument(s)
request = metastore_v1beta.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)
Name | Description |
request |
Optional[Union[google.cloud.metastore_v1beta.types.CreateBackupRequest, dict]]
The request object. Request message for DataprocMetastore.CreateBackup. |
parent |
Required. The relative resource name of the service in which to create a backup of the following form: |
backup |
Backup
Required. The backup to create. The |
backup_id |
Required. The ID of the backup, which is used as the final component of the backup's name. This value must be between 1 and 64 characters long, begin with a letter, end with a letter or number, and consist of alpha-numeric ASCII characters or hyphens. This corresponds to the |
retry |
google.api_core.retry.Retry
Designation of what errors, if any, should be retried. |
timeout |
float
The timeout for this request. |
metadata |
Sequence[Tuple[str, str]]
Strings which should be sent along with the request as metadata. |
Type | Description |
google.api_core.operation_async.AsyncOperation | An object representing a long-running operation. The result type for the operation will be Backup The details of a backup resource. |
create_metadata_import
create_metadata_import(request: Optional[Union[google.cloud.metastore_v1beta.types.metastore.CreateMetadataImportRequest, dict]] = None, *, parent: Optional[str] = None, metadata_import: Optional[google.cloud.metastore_v1beta.types.metastore.MetadataImport] = None, metadata_import_id: Optional[str] = None, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Union[float, object] = <_MethodDefault._DEFAULT_VALUE: <object object>>, metadata: Sequence[Tuple[str, str]] = ())
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_v1beta
async def sample_create_metadata_import():
# Create a client
client = metastore_v1beta.DataprocMetastoreAsyncClient()
# Initialize request argument(s)
request = metastore_v1beta.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)
Name | Description |
request |
Optional[Union[google.cloud.metastore_v1beta.types.CreateMetadataImportRequest, dict]]
The request object. Request message for DataprocMetastore.CreateMetadataImport. |
parent |
Required. The relative resource name of the service in which to create a metastore import, in the following form: |
metadata_import |
MetadataImport
Required. The metadata import to create. The |
metadata_import_id |
Required. The ID of the metadata import, which is used as the final component of the metadata import's name. This value must be between 1 and 64 characters long, begin with a letter, end with a letter or number, and consist of alpha-numeric ASCII characters or hyphens. This corresponds to the |
retry |
google.api_core.retry.Retry
Designation of what errors, if any, should be retried. |
timeout |
float
The timeout for this request. |
metadata |
Sequence[Tuple[str, str]]
Strings which should be sent along with the request as metadata. |
Type | Description |
google.api_core.operation_async.AsyncOperation | An object representing a long-running operation. The result type for the operation will be MetadataImport A metastore resource that imports metadata. |
create_service
create_service(request: Optional[Union[google.cloud.metastore_v1beta.types.metastore.CreateServiceRequest, dict]] = None, *, parent: Optional[str] = None, service: Optional[google.cloud.metastore_v1beta.types.metastore.Service] = None, service_id: Optional[str] = None, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Union[float, object] = <_MethodDefault._DEFAULT_VALUE: <object object>>, metadata: Sequence[Tuple[str, str]] = ())
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_v1beta
async def sample_create_service():
# Create a client
client = metastore_v1beta.DataprocMetastoreAsyncClient()
# Initialize request argument(s)
request = metastore_v1beta.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)
Name | Description |
request |
Optional[Union[google.cloud.metastore_v1beta.types.CreateServiceRequest, dict]]
The request object. Request message for DataprocMetastore.CreateService. |
parent |
Required. The relative resource name of the location in which to create a metastore service, in the following form: |
service |
Service
Required. The Metastore service to create. The |
service_id |
Required. The ID of the metastore service, which is used as the final component of the metastore service's name. This value must be between 2 and 63 characters long inclusive, begin with a letter, end with a letter or number, and consist of alpha-numeric ASCII characters or hyphens. This corresponds to the |
retry |
google.api_core.retry.Retry
Designation of what errors, if any, should be retried. |
timeout |
float
The timeout for this request. |
metadata |
Sequence[Tuple[str, str]]
Strings which should be sent along with the request as metadata. |
Type | Description |
google.api_core.operation_async.AsyncOperation | An object representing a long-running operation. The result type for the operation will be Service A managed metastore service that serves metadata queries. |
delete_backup
delete_backup(request: Optional[Union[google.cloud.metastore_v1beta.types.metastore.DeleteBackupRequest, dict]] = None, *, name: Optional[str] = None, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Union[float, object] = <_MethodDefault._DEFAULT_VALUE: <object object>>, metadata: Sequence[Tuple[str, str]] = ())
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_v1beta
async def sample_delete_backup():
# Create a client
client = metastore_v1beta.DataprocMetastoreAsyncClient()
# Initialize request argument(s)
request = metastore_v1beta.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)
Name | Description |
request |
Optional[Union[google.cloud.metastore_v1beta.types.DeleteBackupRequest, dict]]
The request object. Request message for DataprocMetastore.DeleteBackup. |
name |
Required. The relative resource name of the backup to delete, in the following form: |
retry |
google.api_core.retry.Retry
Designation of what errors, if any, should be retried. |
timeout |
float
The timeout for this request. |
metadata |
Sequence[Tuple[str, str]]
Strings which should be sent along with the request as metadata. |
Type | Description |
google.api_core.operation_async.AsyncOperation | An object representing a long-running operation. The result type for the operation will be google.protobuf.empty_pb2.Empty A generic empty message that you can re-use to avoid defining duplicated empty messages in your APIs. A typical example is to use it as the request or the response type of an API method. For instance: service Foo { rpc Bar(google.protobuf.Empty) returns (google.protobuf.Empty); } |
delete_service
delete_service(request: Optional[Union[google.cloud.metastore_v1beta.types.metastore.DeleteServiceRequest, dict]] = None, *, name: Optional[str] = None, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Union[float, object] = <_MethodDefault._DEFAULT_VALUE: <object object>>, metadata: Sequence[Tuple[str, str]] = ())
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_v1beta
async def sample_delete_service():
# Create a client
client = metastore_v1beta.DataprocMetastoreAsyncClient()
# Initialize request argument(s)
request = metastore_v1beta.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)
Name | Description |
request |
Optional[Union[google.cloud.metastore_v1beta.types.DeleteServiceRequest, dict]]
The request object. Request message for DataprocMetastore.DeleteService. |
name |
Required. The relative resource name of the metastore service to delete, in the following form: |
retry |
google.api_core.retry.Retry
Designation of what errors, if any, should be retried. |
timeout |
float
The timeout for this request. |
metadata |
Sequence[Tuple[str, str]]
Strings which should be sent along with the request as metadata. |
Type | Description |
google.api_core.operation_async.AsyncOperation | An object representing a long-running operation. The result type for the operation will be google.protobuf.empty_pb2.Empty A generic empty message that you can re-use to avoid defining duplicated empty messages in your APIs. A typical example is to use it as the request or the response type of an API method. For instance: service Foo { rpc Bar(google.protobuf.Empty) returns (google.protobuf.Empty); } |
export_metadata
export_metadata(request: Optional[Union[google.cloud.metastore_v1beta.types.metastore.ExportMetadataRequest, dict]] = None, *, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Union[float, object] = <_MethodDefault._DEFAULT_VALUE: <object object>>, metadata: Sequence[Tuple[str, str]] = ())
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_v1beta
async def sample_export_metadata():
# Create a client
client = metastore_v1beta.DataprocMetastoreAsyncClient()
# Initialize request argument(s)
request = metastore_v1beta.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)
Name | Description |
request |
Optional[Union[google.cloud.metastore_v1beta.types.ExportMetadataRequest, dict]]
The request object. Request message for DataprocMetastore.ExportMetadata. |
retry |
google.api_core.retry.Retry
Designation of what errors, if any, should be retried. |
timeout |
float
The timeout for this request. |
metadata |
Sequence[Tuple[str, str]]
Strings which should be sent along with the request as metadata. |
Type | Description |
google.api_core.operation_async.AsyncOperation | An object representing a long-running operation. The result type for the operation will be MetadataExport The details of a metadata export operation. |
from_service_account_file
from_service_account_file(filename: str, *args, **kwargs)
Creates an instance of this client using the provided credentials file.
Name | Description |
filename |
str
The path to the service account private key json file. |
Type | Description |
DataprocMetastoreAsyncClient | The constructed client. |
from_service_account_info
from_service_account_info(info: dict, *args, **kwargs)
Creates an instance of this client using the provided credentials info.
Name | Description |
info |
dict
The service account private key info. |
Type | Description |
DataprocMetastoreAsyncClient | The constructed client. |
from_service_account_json
from_service_account_json(filename: str, *args, **kwargs)
Creates an instance of this client using the provided credentials file.
Name | Description |
filename |
str
The path to the service account private key json file. |
Type | Description |
DataprocMetastoreAsyncClient | The constructed client. |
get_backup
get_backup(request: Optional[Union[google.cloud.metastore_v1beta.types.metastore.GetBackupRequest, dict]] = None, *, name: Optional[str] = None, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Union[float, object] = <_MethodDefault._DEFAULT_VALUE: <object object>>, metadata: Sequence[Tuple[str, str]] = ())
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_v1beta
async def sample_get_backup():
# Create a client
client = metastore_v1beta.DataprocMetastoreAsyncClient()
# Initialize request argument(s)
request = metastore_v1beta.GetBackupRequest(
name="name_value",
)
# Make the request
response = await client.get_backup(request=request)
# Handle the response
print(response)
Name | Description |
request |
Optional[Union[google.cloud.metastore_v1beta.types.GetBackupRequest, dict]]
The request object. Request message for DataprocMetastore.GetBackup. |
name |
Required. The relative resource name of the backup to retrieve, in the following form: |
retry |
google.api_core.retry.Retry
Designation of what errors, if any, should be retried. |
timeout |
float
The timeout for this request. |
metadata |
Sequence[Tuple[str, str]]
Strings which should be sent along with the request as metadata. |
Type | Description |
google.cloud.metastore_v1beta.types.Backup | The details of a backup resource. |
get_metadata_import
get_metadata_import(request: Optional[Union[google.cloud.metastore_v1beta.types.metastore.GetMetadataImportRequest, dict]] = None, *, name: Optional[str] = None, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Union[float, object] = <_MethodDefault._DEFAULT_VALUE: <object object>>, metadata: Sequence[Tuple[str, str]] = ())
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_v1beta
async def sample_get_metadata_import():
# Create a client
client = metastore_v1beta.DataprocMetastoreAsyncClient()
# Initialize request argument(s)
request = metastore_v1beta.GetMetadataImportRequest(
name="name_value",
)
# Make the request
response = await client.get_metadata_import(request=request)
# Handle the response
print(response)
Name | Description |
request |
Optional[Union[google.cloud.metastore_v1beta.types.GetMetadataImportRequest, dict]]
The request object. Request message for DataprocMetastore.GetMetadataImport. |
name |
Required. The relative resource name of the metadata import to retrieve, in the following form: |
retry |
google.api_core.retry.Retry
Designation of what errors, if any, should be retried. |
timeout |
float
The timeout for this request. |
metadata |
Sequence[Tuple[str, str]]
Strings which should be sent along with the request as metadata. |
Type | Description |
google.cloud.metastore_v1beta.types.MetadataImport | A metastore resource that imports metadata. |
get_mtls_endpoint_and_cert_source
get_mtls_endpoint_and_cert_source(
client_options: Optional[google.api_core.client_options.ClientOptions] = None,
)
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.
Name | Description |
client_options |
google.api_core.client_options.ClientOptions
Custom options for the client. Only the |
Type | Description |
google.auth.exceptions.MutualTLSChannelError | If any errors happen. |
Type | Description |
Tuple[str, Callable[[], Tuple[bytes, bytes]]] | returns the API endpoint and the client cert source to use. |
get_service
get_service(request: Optional[Union[google.cloud.metastore_v1beta.types.metastore.GetServiceRequest, dict]] = None, *, name: Optional[str] = None, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Union[float, object] = <_MethodDefault._DEFAULT_VALUE: <object object>>, metadata: Sequence[Tuple[str, str]] = ())
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_v1beta
async def sample_get_service():
# Create a client
client = metastore_v1beta.DataprocMetastoreAsyncClient()
# Initialize request argument(s)
request = metastore_v1beta.GetServiceRequest(
name="name_value",
)
# Make the request
response = await client.get_service(request=request)
# Handle the response
print(response)
Name | Description |
request |
Optional[Union[google.cloud.metastore_v1beta.types.GetServiceRequest, dict]]
The request object. Request message for DataprocMetastore.GetService. |
name |
Required. The relative resource name of the metastore service to retrieve, in the following form: |
retry |
google.api_core.retry.Retry
Designation of what errors, if any, should be retried. |
timeout |
float
The timeout for this request. |
metadata |
Sequence[Tuple[str, str]]
Strings which should be sent along with the request as metadata. |
Type | Description |
google.cloud.metastore_v1beta.types.Service | A managed metastore service that serves metadata queries. |
get_transport_class
get_transport_class()
Returns an appropriate transport class.
lake_path
lake_path(project: str, location: str, lake: str)
Returns a fully-qualified lake string.
list_backups
list_backups(request: Optional[Union[google.cloud.metastore_v1beta.types.metastore.ListBackupsRequest, dict]] = None, *, parent: Optional[str] = None, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Union[float, object] = <_MethodDefault._DEFAULT_VALUE: <object object>>, metadata: Sequence[Tuple[str, str]] = ())
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_v1beta
async def sample_list_backups():
# Create a client
client = metastore_v1beta.DataprocMetastoreAsyncClient()
# Initialize request argument(s)
request = metastore_v1beta.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)
Name | Description |
request |
Optional[Union[google.cloud.metastore_v1beta.types.ListBackupsRequest, dict]]
The request object. Request message for DataprocMetastore.ListBackups. |
parent |
Required. The relative resource name of the service whose backups to list, in the following form: |
retry |
google.api_core.retry.Retry
Designation of what errors, if any, should be retried. |
timeout |
float
The timeout for this request. |
metadata |
Sequence[Tuple[str, str]]
Strings which should be sent along with the request as metadata. |
Type | Description |
google.cloud.metastore_v1beta.services.dataproc_metastore.pagers.ListBackupsAsyncPager | Response message for DataprocMetastore.ListBackups. Iterating over this object will yield results and resolve additional pages automatically. |
list_metadata_imports
list_metadata_imports(request: Optional[Union[google.cloud.metastore_v1beta.types.metastore.ListMetadataImportsRequest, dict]] = None, *, parent: Optional[str] = None, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Union[float, object] = <_MethodDefault._DEFAULT_VALUE: <object object>>, metadata: Sequence[Tuple[str, str]] = ())
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_v1beta
async def sample_list_metadata_imports():
# Create a client
client = metastore_v1beta.DataprocMetastoreAsyncClient()
# Initialize request argument(s)
request = metastore_v1beta.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)
Name | Description |
request |
Optional[Union[google.cloud.metastore_v1beta.types.ListMetadataImportsRequest, dict]]
The request object. Request message for DataprocMetastore.ListMetadataImports. |
parent |
Required. The relative resource name of the service whose metadata imports to list, in the following form: |
retry |
google.api_core.retry.Retry
Designation of what errors, if any, should be retried. |
timeout |
float
The timeout for this request. |
metadata |
Sequence[Tuple[str, str]]
Strings which should be sent along with the request as metadata. |
Type | Description |
google.cloud.metastore_v1beta.services.dataproc_metastore.pagers.ListMetadataImportsAsyncPager | Response message for DataprocMetastore.ListMetadataImports. Iterating over this object will yield results and resolve additional pages automatically. |
list_services
list_services(request: Optional[Union[google.cloud.metastore_v1beta.types.metastore.ListServicesRequest, dict]] = None, *, parent: Optional[str] = None, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Union[float, object] = <_MethodDefault._DEFAULT_VALUE: <object object>>, metadata: Sequence[Tuple[str, str]] = ())
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_v1beta
async def sample_list_services():
# Create a client
client = metastore_v1beta.DataprocMetastoreAsyncClient()
# Initialize request argument(s)
request = metastore_v1beta.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)
Name | Description |
request |
Optional[Union[google.cloud.metastore_v1beta.types.ListServicesRequest, dict]]
The request object. Request message for DataprocMetastore.ListServices. |
parent |
Required. The relative resource name of the location of metastore services to list, in the following form: |
retry |
google.api_core.retry.Retry
Designation of what errors, if any, should be retried. |
timeout |
float
The timeout for this request. |
metadata |
Sequence[Tuple[str, str]]
Strings which should be sent along with the request as metadata. |
Type | Description |
google.cloud.metastore_v1beta.services.dataproc_metastore.pagers.ListServicesAsyncPager | Response message for DataprocMetastore.ListServices. Iterating over this object will yield results and resolve additional pages automatically. |
metadata_import_path
metadata_import_path(
project: str, location: str, service: str, metadata_import: str
)
Returns a fully-qualified metadata_import string.
move_table_to_database
move_table_to_database(request: Optional[Union[google.cloud.metastore_v1beta.types.metastore.MoveTableToDatabaseRequest, dict]] = None, *, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Union[float, object] = <_MethodDefault._DEFAULT_VALUE: <object object>>, metadata: Sequence[Tuple[str, str]] = ())
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_v1beta
async def sample_move_table_to_database():
# Create a client
client = metastore_v1beta.DataprocMetastoreAsyncClient()
# Initialize request argument(s)
request = metastore_v1beta.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)
Name | Description |
request |
Optional[Union[google.cloud.metastore_v1beta.types.MoveTableToDatabaseRequest, dict]]
The request object. Request message for DataprocMetastore.MoveTableToDatabase. |
retry |
google.api_core.retry.Retry
Designation of what errors, if any, should be retried. |
timeout |
float
The timeout for this request. |
metadata |
Sequence[Tuple[str, str]]
Strings which should be sent along with the request as metadata. |
Type | Description |
google.api_core.operation_async.AsyncOperation | An object representing a long-running operation. The result type for the operation will be MoveTableToDatabaseResponse Response message for DataprocMetastore.MoveTableToDatabase. |
network_path
network_path(project: str, network: str)
Returns a fully-qualified network string.
parse_backup_path
parse_backup_path(path: str)
Parses a backup path into its component segments.
parse_common_billing_account_path
parse_common_billing_account_path(path: str)
Parse a billing_account path into its component segments.
parse_common_folder_path
parse_common_folder_path(path: str)
Parse a folder path into its component segments.
parse_common_location_path
parse_common_location_path(path: str)
Parse a location path into its component segments.
parse_common_organization_path
parse_common_organization_path(path: str)
Parse a organization path into its component segments.
parse_common_project_path
parse_common_project_path(path: str)
Parse a project path into its component segments.
parse_lake_path
parse_lake_path(path: str)
Parses a lake path into its component segments.
parse_metadata_import_path
parse_metadata_import_path(path: str)
Parses a metadata_import path into its component segments.
parse_network_path
parse_network_path(path: str)
Parses a network path into its component segments.
parse_service_path
parse_service_path(path: str)
Parses a service path into its component segments.
parse_subnetwork_path
parse_subnetwork_path(path: str)
Parses a subnetwork path into its component segments.
query_metadata
query_metadata(request: Optional[Union[google.cloud.metastore_v1beta.types.metastore.QueryMetadataRequest, dict]] = None, *, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Union[float, object] = <_MethodDefault._DEFAULT_VALUE: <object object>>, metadata: Sequence[Tuple[str, str]] = ())
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_v1beta
async def sample_query_metadata():
# Create a client
client = metastore_v1beta.DataprocMetastoreAsyncClient()
# Initialize request argument(s)
request = metastore_v1beta.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)
Name | Description |
request |
Optional[Union[google.cloud.metastore_v1beta.types.QueryMetadataRequest, dict]]
The request object. Request message for DataprocMetastore.QueryMetadata. |
retry |
google.api_core.retry.Retry
Designation of what errors, if any, should be retried. |
timeout |
float
The timeout for this request. |
metadata |
Sequence[Tuple[str, str]]
Strings which should be sent along with the request as metadata. |
Type | Description |
google.api_core.operation_async.AsyncOperation | An object representing a long-running operation. The result type for the operation will be QueryMetadataResponse Response message for DataprocMetastore.QueryMetadata. |
remove_iam_policy
remove_iam_policy(request: Optional[Union[google.cloud.metastore_v1beta.types.metastore.RemoveIamPolicyRequest, dict]] = None, *, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Union[float, object] = <_MethodDefault._DEFAULT_VALUE: <object object>>, metadata: Sequence[Tuple[str, str]] = ())
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_v1beta
async def sample_remove_iam_policy():
# Create a client
client = metastore_v1beta.DataprocMetastoreAsyncClient()
# Initialize request argument(s)
request = metastore_v1beta.RemoveIamPolicyRequest(
resource="resource_value",
)
# Make the request
response = await client.remove_iam_policy(request=request)
# Handle the response
print(response)
Name | Description |
request |
Optional[Union[google.cloud.metastore_v1beta.types.RemoveIamPolicyRequest, dict]]
The request object. Request message for DataprocMetastore.RemoveIamPolicy. |
retry |
google.api_core.retry.Retry
Designation of what errors, if any, should be retried. |
timeout |
float
The timeout for this request. |
metadata |
Sequence[Tuple[str, str]]
Strings which should be sent along with the request as metadata. |
Type | Description |
google.cloud.metastore_v1beta.types.RemoveIamPolicyResponse | Response message for DataprocMetastore.RemoveIamPolicy. |
restore_service
restore_service(request: Optional[Union[google.cloud.metastore_v1beta.types.metastore.RestoreServiceRequest, dict]] = None, *, service: Optional[str] = None, backup: Optional[str] = None, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Union[float, object] = <_MethodDefault._DEFAULT_VALUE: <object object>>, metadata: Sequence[Tuple[str, str]] = ())
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_v1beta
async def sample_restore_service():
# Create a client
client = metastore_v1beta.DataprocMetastoreAsyncClient()
# Initialize request argument(s)
request = metastore_v1beta.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)
Name | Description |
request |
Optional[Union[google.cloud.metastore_v1beta.types.RestoreServiceRequest, dict]]
The request object. Request message for [DataprocMetastore.Restore][]. |
service |
Required. The relative resource name of the metastore service to run restore, in the following form: |
backup |
Required. The relative resource name of the metastore service backup to restore from, in the following form: |
retry |
google.api_core.retry.Retry
Designation of what errors, if any, should be retried. |
timeout |
float
The timeout for this request. |
metadata |
Sequence[Tuple[str, str]]
Strings which should be sent along with the request as metadata. |
Type | Description |
google.api_core.operation_async.AsyncOperation | An object representing a long-running operation. The result type for the operation will be Restore The details of a metadata restore operation. |
service_path
service_path(project: str, location: str, service: str)
Returns a fully-qualified service string.
subnetwork_path
subnetwork_path(project: str, region: str, subnetwork: str)
Returns a fully-qualified subnetwork string.
update_metadata_import
update_metadata_import(request: Optional[Union[google.cloud.metastore_v1beta.types.metastore.UpdateMetadataImportRequest, dict]] = None, *, metadata_import: Optional[google.cloud.metastore_v1beta.types.metastore.MetadataImport] = None, update_mask: Optional[google.protobuf.field_mask_pb2.FieldMask] = None, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Union[float, object] = <_MethodDefault._DEFAULT_VALUE: <object object>>, metadata: Sequence[Tuple[str, str]] = ())
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_v1beta
async def sample_update_metadata_import():
# Create a client
client = metastore_v1beta.DataprocMetastoreAsyncClient()
# Initialize request argument(s)
request = metastore_v1beta.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)
Name | Description |
request |
Optional[Union[google.cloud.metastore_v1beta.types.UpdateMetadataImportRequest, dict]]
The request object. Request message for DataprocMetastore.UpdateMetadataImport. |
metadata_import |
MetadataImport
Required. The metadata import to update. The server only merges fields in the import if they are specified in |
update_mask |
Required. A field mask used to specify the fields to be overwritten in the metadata import resource by the update. Fields specified in the |
retry |
google.api_core.retry.Retry
Designation of what errors, if any, should be retried. |
timeout |
float
The timeout for this request. |
metadata |
Sequence[Tuple[str, str]]
Strings which should be sent along with the request as metadata. |
Type | Description |
google.api_core.operation_async.AsyncOperation | An object representing a long-running operation. The result type for the operation will be MetadataImport A metastore resource that imports metadata. |
update_service
update_service(request: Optional[Union[google.cloud.metastore_v1beta.types.metastore.UpdateServiceRequest, dict]] = None, *, service: Optional[google.cloud.metastore_v1beta.types.metastore.Service] = None, update_mask: Optional[google.protobuf.field_mask_pb2.FieldMask] = None, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Union[float, object] = <_MethodDefault._DEFAULT_VALUE: <object object>>, metadata: Sequence[Tuple[str, str]] = ())
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_v1beta
async def sample_update_service():
# Create a client
client = metastore_v1beta.DataprocMetastoreAsyncClient()
# Initialize request argument(s)
request = metastore_v1beta.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)
Name | Description |
request |
Optional[Union[google.cloud.metastore_v1beta.types.UpdateServiceRequest, dict]]
The request object. Request message for DataprocMetastore.UpdateService. |
service |
Service
Required. The metastore service to update. The server only merges fields in the service if they are specified in |
update_mask |
Required. A field mask used to specify the fields to be overwritten in the metastore service resource by the update. Fields specified in the |
retry |
google.api_core.retry.Retry
Designation of what errors, if any, should be retried. |
timeout |
float
The timeout for this request. |
metadata |
Sequence[Tuple[str, str]]
Strings which should be sent along with the request as metadata. |
Type | Description |
google.api_core.operation_async.AsyncOperation | An object representing a long-running operation. The result type for the operation will be Service A managed metastore service that serves metadata queries. |