DataprocMetastoreAsyncClient(*, credentials: Optional[google.auth.credentials.Credentials] = None, transport: Union[str, google.cloud.metastore_v1alpha.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.
Returns | |
---|---|
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_v1alpha.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.
Parameters | |
---|---|
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 |
Exceptions | |
---|---|
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_v1alpha.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_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)
Parameters | |
---|---|
Name | Description |
request |
Optional[Union[google.cloud.metastore_v1alpha.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. |
Returns | |
---|---|
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_v1alpha.types.metastore.CreateBackupRequest, dict]] = None, *, parent: Optional[str] = None, backup: Optional[google.cloud.metastore_v1alpha.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_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)
Parameters | |
---|---|
Name | Description |
request |
Optional[Union[google.cloud.metastore_v1alpha.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. |
Returns | |
---|---|
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_v1alpha.types.metastore.CreateMetadataImportRequest, dict]] = None, *, parent: Optional[str] = None, metadata_import: Optional[google.cloud.metastore_v1alpha.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_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)
Parameters | |
---|---|
Name | Description |
request |
Optional[Union[google.cloud.metastore_v1alpha.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. |
Returns | |
---|---|
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_v1alpha.types.metastore.CreateServiceRequest, dict]] = None, *, parent: Optional[str] = None, service: Optional[google.cloud.metastore_v1alpha.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_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)
Parameters | |
---|---|
Name | Description |
request |
Optional[Union[google.cloud.metastore_v1alpha.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. |
Returns | |
---|---|
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_v1alpha.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_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)
Parameters | |
---|---|
Name | Description |
request |
Optional[Union[google.cloud.metastore_v1alpha.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. |
Returns | |
---|---|
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_operation
delete_operation(request: Optional[google.longrunning.operations_pb2.DeleteOperationRequest] = 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 long-running operation.
This method indicates that the client is no longer interested
in the operation result. It does not cancel the operation.
If the server doesn't support this method, it returns
google.rpc.Code.UNIMPLEMENTED
.
Parameters | |
---|---|
Name | Description |
request |
The request object. Request message for |
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. |
delete_service
delete_service(request: Optional[Union[google.cloud.metastore_v1alpha.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_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)
Parameters | |
---|---|
Name | Description |
request |
Optional[Union[google.cloud.metastore_v1alpha.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. |
Returns | |
---|---|
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_v1alpha.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_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)
Parameters | |
---|---|
Name | Description |
request |
Optional[Union[google.cloud.metastore_v1alpha.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. |
Returns | |
---|---|
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.
Parameter | |
---|---|
Name | Description |
filename |
str
The path to the service account private key json file. |
Returns | |
---|---|
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.
Parameter | |
---|---|
Name | Description |
info |
dict
The service account private key info. |
Returns | |
---|---|
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.
Parameter | |
---|---|
Name | Description |
filename |
str
The path to the service account private key json file. |
Returns | |
---|---|
Type | Description |
DataprocMetastoreAsyncClient | The constructed client. |
get_backup
get_backup(request: Optional[Union[google.cloud.metastore_v1alpha.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_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)
Parameters | |
---|---|
Name | Description |
request |
Optional[Union[google.cloud.metastore_v1alpha.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. |
Returns | |
---|---|
Type | Description |
google.cloud.metastore_v1alpha.types.Backup | The details of a backup resource. |
get_iam_policy
get_iam_policy(request: Optional[google.iam.v1.iam_policy_pb2.GetIamPolicyRequest] = 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 IAM access control policy for a function.
Returns an empty policy if the function exists and does not have a policy set.
Parameters | |
---|---|
Name | Description |
request |
The request object. Request message for |
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. |
Returns | |
---|---|
Type | Description |
| Defines an Identity and Access Management (IAM) policy. It is used to specify access control policies for Cloud Platform resources. A Policy is a collection of bindings . A binding binds one or more members to a single role . Members can be user accounts, service accounts, Google groups, and domains (such as G Suite). A role is a named list of permissions (defined by IAM or configured by users). A binding can optionally specify a condition , which is a logic expression that further constrains the role binding based on attributes about the request and/or target resource. **JSON Example** :: { "bindings": [ { "role": "roles/resourcemanager.organizationAdmin", "members": [ "user:mike@example.com", "group:admins@example.com", "domain:google.com", "serviceAccount:my-project-id@appspot.gserviceaccount.com" ] }, { "role": "roles/resourcemanager.organizationViewer", "members": ["user:eve@example.com"], "condition": { "title": "expirable access", "description": "Does not grant access after Sep 2020", "expression": "request.time < timestamp('2020-10-01t00:00:00.000z')",="" }="" }="" ]="" }="" **yaml="" example**="" ::="" bindings:="" -="" members:="" -="" user:mike@example.com="" -="" group:admins@example.com="" -="" domain:google.com="" -="" serviceaccount:my-project-id@appspot.gserviceaccount.com="" role:="" roles/resourcemanager.organizationadmin="" -="" members:="" -="" user:eve@example.com="" role:="" roles/resourcemanager.organizationviewer="" condition:="" title:="" expirable="" access="" description:="" does="" not="" grant="" access="" after="" sep="" 2020="" expression:="" request.time="">< timestamp('2020-10-01t00:00:00.000z')="" for="" a="" description="" of="" iam="" and="" its="" features,="" see="" the="">IAM developer's guide __. |
get_location
get_location(request: Optional[google.cloud.location.locations_pb2.GetLocationRequest] = 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 information about a location.
Parameters | |
---|---|
Name | Description |
request |
The request object. Request message for |
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. |
Returns | |
---|---|
Type | Description |
| Location object. |
get_metadata_import
get_metadata_import(request: Optional[Union[google.cloud.metastore_v1alpha.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_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)
Parameters | |
---|---|
Name | Description |
request |
Optional[Union[google.cloud.metastore_v1alpha.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. |
Returns | |
---|---|
Type | Description |
google.cloud.metastore_v1alpha.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.
Parameter | |
---|---|
Name | Description |
client_options |
google.api_core.client_options.ClientOptions
Custom options for the client. Only the |
Exceptions | |
---|---|
Type | Description |
google.auth.exceptions.MutualTLSChannelError | If any errors happen. |
Returns | |
---|---|
Type | Description |
Tuple[str, Callable[[], Tuple[bytes, bytes]]] | returns the API endpoint and the client cert source to use. |
get_operation
get_operation(request: Optional[google.longrunning.operations_pb2.GetOperationRequest] = 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 latest state of a long-running operation.
Parameters | |
---|---|
Name | Description |
request |
The request object. Request message for |
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. |
Returns | |
---|---|
Type | Description |
| An Operation object. |
get_service
get_service(request: Optional[Union[google.cloud.metastore_v1alpha.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_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)
Parameters | |
---|---|
Name | Description |
request |
Optional[Union[google.cloud.metastore_v1alpha.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. |
Returns | |
---|---|
Type | Description |
google.cloud.metastore_v1alpha.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_v1alpha.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_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)
Parameters | |
---|---|
Name | Description |
request |
Optional[Union[google.cloud.metastore_v1alpha.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. |
Returns | |
---|---|
Type | Description |
google.cloud.metastore_v1alpha.services.dataproc_metastore.pagers.ListBackupsAsyncPager | Response message for DataprocMetastore.ListBackups. Iterating over this object will yield results and resolve additional pages automatically. |
list_locations
list_locations(request: Optional[google.cloud.location.locations_pb2.ListLocationsRequest] = 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 information about the supported locations for this service.
Parameters | |
---|---|
Name | Description |
request |
The request object. Request message for |
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. |
Returns | |
---|---|
Type | Description |
| Response message for ListLocations method. |
list_metadata_imports
list_metadata_imports(request: Optional[Union[google.cloud.metastore_v1alpha.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_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)
Parameters | |
---|---|
Name | Description |
request |
Optional[Union[google.cloud.metastore_v1alpha.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. |
Returns | |
---|---|
Type | Description |
google.cloud.metastore_v1alpha.services.dataproc_metastore.pagers.ListMetadataImportsAsyncPager | Response message for DataprocMetastore.ListMetadataImports. Iterating over this object will yield results and resolve additional pages automatically. |
list_operations
list_operations(request: Optional[google.longrunning.operations_pb2.ListOperationsRequest] = 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 operations that match the specified filter in the request.
Parameters | |
---|---|
Name | Description |
request |
The request object. Request message for |
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. |
Returns | |
---|---|
Type | Description |
| Response message for ListOperations method. |
list_services
list_services(request: Optional[Union[google.cloud.metastore_v1alpha.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_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)
Parameters | |
---|---|
Name | Description |
request |
Optional[Union[google.cloud.metastore_v1alpha.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. |
Returns | |
---|---|
Type | Description |
google.cloud.metastore_v1alpha.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_v1alpha.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_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)
Parameters | |
---|---|
Name | Description |
request |
Optional[Union[google.cloud.metastore_v1alpha.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. |
Returns | |
---|---|
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_v1alpha.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_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)
Parameters | |
---|---|
Name | Description |
request |
Optional[Union[google.cloud.metastore_v1alpha.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. |
Returns | |
---|---|
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_v1alpha.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_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)
Parameters | |
---|---|
Name | Description |
request |
Optional[Union[google.cloud.metastore_v1alpha.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. |
Returns | |
---|---|
Type | Description |
google.cloud.metastore_v1alpha.types.RemoveIamPolicyResponse | Response message for DataprocMetastore.RemoveIamPolicy. |
restore_service
restore_service(request: Optional[Union[google.cloud.metastore_v1alpha.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_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)
Parameters | |
---|---|
Name | Description |
request |
Optional[Union[google.cloud.metastore_v1alpha.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. |
Returns | |
---|---|
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.
set_iam_policy
set_iam_policy(request: Optional[google.iam.v1.iam_policy_pb2.SetIamPolicyRequest] = 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]] = ())
Sets the IAM access control policy on the specified function.
Replaces any existing policy.
Parameters | |
---|---|
Name | Description |
request |
The request object. Request message for |
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. |
Returns | |
---|---|
Type | Description |
| Defines an Identity and Access Management (IAM) policy. It is used to specify access control policies for Cloud Platform resources. A Policy is a collection of bindings . A binding binds one or more members to a single role . Members can be user accounts, service accounts, Google groups, and domains (such as G Suite). A role is a named list of permissions (defined by IAM or configured by users). A binding can optionally specify a condition , which is a logic expression that further constrains the role binding based on attributes about the request and/or target resource. **JSON Example** :: { "bindings": [ { "role": "roles/resourcemanager.organizationAdmin", "members": [ "user:mike@example.com", "group:admins@example.com", "domain:google.com", "serviceAccount:my-project-id@appspot.gserviceaccount.com" ] }, { "role": "roles/resourcemanager.organizationViewer", "members": ["user:eve@example.com"], "condition": { "title": "expirable access", "description": "Does not grant access after Sep 2020", "expression": "request.time < timestamp('2020-10-01t00:00:00.000z')",="" }="" }="" ]="" }="" **yaml="" example**="" ::="" bindings:="" -="" members:="" -="" user:mike@example.com="" -="" group:admins@example.com="" -="" domain:google.com="" -="" serviceaccount:my-project-id@appspot.gserviceaccount.com="" role:="" roles/resourcemanager.organizationadmin="" -="" members:="" -="" user:eve@example.com="" role:="" roles/resourcemanager.organizationviewer="" condition:="" title:="" expirable="" access="" description:="" does="" not="" grant="" access="" after="" sep="" 2020="" expression:="" request.time="">< timestamp('2020-10-01t00:00:00.000z')="" for="" a="" description="" of="" iam="" and="" its="" features,="" see="" the="">IAM developer's guide __. |
subnetwork_path
subnetwork_path(project: str, region: str, subnetwork: str)
Returns a fully-qualified subnetwork string.
test_iam_permissions
test_iam_permissions(request: Optional[google.iam.v1.iam_policy_pb2.TestIamPermissionsRequest] = 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]] = ())
Tests the specified IAM permissions against the IAM access control policy for a function.
If the function does not exist, this will return an empty set of permissions, not a NOT_FOUND error.
Parameters | |
---|---|
Name | Description |
request |
The request object. Request message for |
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. |
Returns | |
---|---|
Type | Description |
| Response message for TestIamPermissions method. |
update_metadata_import
update_metadata_import(request: Optional[Union[google.cloud.metastore_v1alpha.types.metastore.UpdateMetadataImportRequest, dict]] = None, *, metadata_import: Optional[google.cloud.metastore_v1alpha.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_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)
Parameters | |
---|---|
Name | Description |
request |
Optional[Union[google.cloud.metastore_v1alpha.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. |
Returns | |
---|---|
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_v1alpha.types.metastore.UpdateServiceRequest, dict]] = None, *, service: Optional[google.cloud.metastore_v1alpha.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_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)
Parameters | |
---|---|
Name | Description |
request |
Optional[Union[google.cloud.metastore_v1alpha.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. |
Returns | |
---|---|
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. |