Class DataplexServiceClient (2.4.0)

Dataplex service provides data lakes as a service. The primary resources offered by this service are Lakes, Zones and Assets which collectively allow a data administrator to organize, manage, secure and catalog data across their organization located across cloud projects in a variety of storage systems including Cloud Storage and BigQuery.

Return the API endpoint used by the client instance.

Returns the transport used by the client instance.

Return the universe domain used by the client instance.

Instantiates the dataplex service client.

Releases underlying transport's resources.

Returns a fully-qualified action string.

Returns a fully-qualified asset string.

Cancel jobs running for the task 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 dataplex_v1

def sample_cancel_job():
    # Create a client
    client = dataplex_v1.DataplexServiceClient()

    # Initialize request argument(s)
    request = dataplex_v1.CancelJobRequest(
        name="name_value",
    )

    # Make the request
    client.cancel_job(request=request)

Starts asynchronous cancellation on a long-running operation.

The server makes a best effort to cancel the operation, but success is not guaranteed. If the server doesn't support this method, it returns google.rpc.Code.UNIMPLEMENTED.

Returns a fully-qualified billing_account string.

Returns a fully-qualified folder string.

Returns a fully-qualified location string.

Returns a fully-qualified organization string.

Returns a fully-qualified project string.

Creates an asset 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 dataplex_v1

def sample_create_asset():
    # Create a client
    client = dataplex_v1.DataplexServiceClient()

    # Initialize request argument(s)
    asset = dataplex_v1.Asset()
    asset.resource_spec.type_ = "BIGQUERY_DATASET"

    request = dataplex_v1.CreateAssetRequest(
        parent="parent_value",
        asset_id="asset_id_value",
        asset=asset,
    )

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

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

    response = operation.result()

    # Handle the response
    print(response)

Create an environment 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 dataplex_v1

def sample_create_environment():
    # Create a client
    client = dataplex_v1.DataplexServiceClient()

    # Initialize request argument(s)
    environment = dataplex_v1.Environment()
    environment.infrastructure_spec.os_image.image_version = "image_version_value"

    request = dataplex_v1.CreateEnvironmentRequest(
        parent="parent_value",
        environment_id="environment_id_value",
        environment=environment,
    )

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

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

    response = operation.result()

    # Handle the response
    print(response)

Creates a lake 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 dataplex_v1

def sample_create_lake():
    # Create a client
    client = dataplex_v1.DataplexServiceClient()

    # Initialize request argument(s)
    request = dataplex_v1.CreateLakeRequest(
        parent="parent_value",
        lake_id="lake_id_value",
    )

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

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

    response = operation.result()

    # Handle the response
    print(response)

Creates a task resource within a lake.

# 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 dataplex_v1

def sample_create_task():
    # Create a client
    client = dataplex_v1.DataplexServiceClient()

    # Initialize request argument(s)
    task = dataplex_v1.Task()
    task.spark.main_jar_file_uri = "main_jar_file_uri_value"
    task.trigger_spec.schedule = "schedule_value"
    task.trigger_spec.type_ = "RECURRING"
    task.execution_spec.service_account = "service_account_value"

    request = dataplex_v1.CreateTaskRequest(
        parent="parent_value",
        task_id="task_id_value",
        task=task,
    )

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

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

    response = operation.result()

    # Handle the response
    print(response)

Creates a zone resource within a lake.

# 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 dataplex_v1

def sample_create_zone():
    # Create a client
    client = dataplex_v1.DataplexServiceClient()

    # Initialize request argument(s)
    zone = dataplex_v1.Zone()
    zone.type_ = "CURATED"
    zone.resource_spec.location_type = "MULTI_REGION"

    request = dataplex_v1.CreateZoneRequest(
        parent="parent_value",
        zone_id="zone_id_value",
        zone=zone,
    )

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

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

    response = operation.result()

    # Handle the response
    print(response)

Deletes an asset resource. The referenced storage resource is detached (default) or deleted based on the associated Lifecycle policy.

# 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 dataplex_v1

def sample_delete_asset():
    # Create a client
    client = dataplex_v1.DataplexServiceClient()

    # Initialize request argument(s)
    request = dataplex_v1.DeleteAssetRequest(
        name="name_value",
    )

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

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

    response = operation.result()

    # Handle the response
    print(response)

Delete the environment resource. All the child resources must have been deleted before environment deletion can be initiated.

# 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 dataplex_v1

def sample_delete_environment():
    # Create a client
    client = dataplex_v1.DataplexServiceClient()

    # Initialize request argument(s)
    request = dataplex_v1.DeleteEnvironmentRequest(
        name="name_value",
    )

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

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

    response = operation.result()

    # Handle the response
    print(response)

Deletes a lake resource. All zones within the lake must be deleted before the lake can be deleted.

# 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 dataplex_v1

def sample_delete_lake():
    # Create a client
    client = dataplex_v1.DataplexServiceClient()

    # Initialize request argument(s)
    request = dataplex_v1.DeleteLakeRequest(
        name="name_value",
    )

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

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

    response = operation.result()

    # Handle the response
    print(response)

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.

Delete the task 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 dataplex_v1

def sample_delete_task():
    # Create a client
    client = dataplex_v1.DataplexServiceClient()

    # Initialize request argument(s)
    request = dataplex_v1.DeleteTaskRequest(
        name="name_value",
    )

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

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

    response = operation.result()

    # Handle the response
    print(response)

Deletes a zone resource. All assets within a zone must be deleted before the zone can be deleted.

# 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 dataplex_v1

def sample_delete_zone():
    # Create a client
    client = dataplex_v1.DataplexServiceClient()

    # Initialize request argument(s)
    request = dataplex_v1.DeleteZoneRequest(
        name="name_value",
    )

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

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

    response = operation.result()

    # Handle the response
    print(response)

Returns a fully-qualified environment string.

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

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

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

Retrieves an asset 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 dataplex_v1

def sample_get_asset():
    # Create a client
    client = dataplex_v1.DataplexServiceClient()

    # Initialize request argument(s)
    request = dataplex_v1.GetAssetRequest(
        name="name_value",
    )

    # Make the request
    response = client.get_asset(request=request)

    # Handle the response
    print(response)

Get environment 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 dataplex_v1

def sample_get_environment():
    # Create a client
    client = dataplex_v1.DataplexServiceClient()

    # Initialize request argument(s)
    request = dataplex_v1.GetEnvironmentRequest(
        name="name_value",
    )

    # Make the request
    response = client.get_environment(request=request)

    # Handle the response
    print(response)

Get job 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 dataplex_v1

def sample_get_job():
    # Create a client
    client = dataplex_v1.DataplexServiceClient()

    # Initialize request argument(s)
    request = dataplex_v1.GetJobRequest(
        name="name_value",
    )

    # Make the request
    response = client.get_job(request=request)

    # Handle the response
    print(response)

Retrieves a lake 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 dataplex_v1

def sample_get_lake():
    # Create a client
    client = dataplex_v1.DataplexServiceClient()

    # Initialize request argument(s)
    request = dataplex_v1.GetLakeRequest(
        name="name_value",
    )

    # Make the request
    response = client.get_lake(request=request)

    # Handle the response
    print(response)

Gets information about a location.

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

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

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

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

Gets the latest state of a long-running operation.

Get task 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 dataplex_v1

def sample_get_task():
    # Create a client
    client = dataplex_v1.DataplexServiceClient()

    # Initialize request argument(s)
    request = dataplex_v1.GetTaskRequest(
        name="name_value",
    )

    # Make the request
    response = client.get_task(request=request)

    # Handle the response
    print(response)

Retrieves a zone 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 dataplex_v1

def sample_get_zone():
    # Create a client
    client = dataplex_v1.DataplexServiceClient()

    # Initialize request argument(s)
    request = dataplex_v1.GetZoneRequest(
        name="name_value",
    )

    # Make the request
    response = client.get_zone(request=request)

    # Handle the response
    print(response)

Returns a fully-qualified job string.

Returns a fully-qualified lake string.

Lists action resources in an asset.

# 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 dataplex_v1

def sample_list_asset_actions():
    # Create a client
    client = dataplex_v1.DataplexServiceClient()

    # Initialize request argument(s)
    request = dataplex_v1.ListAssetActionsRequest(
        parent="parent_value",
    )

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

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

Lists asset resources in a zone.

# 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 dataplex_v1

def sample_list_assets():
    # Create a client
    client = dataplex_v1.DataplexServiceClient()

    # Initialize request argument(s)
    request = dataplex_v1.ListAssetsRequest(
        parent="parent_value",
    )

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

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

Lists environments under the given lake.

# 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 dataplex_v1

def sample_list_environments():
    # Create a client
    client = dataplex_v1.DataplexServiceClient()

    # Initialize request argument(s)
    request = dataplex_v1.ListEnvironmentsRequest(
        parent="parent_value",
    )

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

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

Lists Jobs under the given task.

# 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 dataplex_v1

def sample_list_jobs():
    # Create a client
    client = dataplex_v1.DataplexServiceClient()

    # Initialize request argument(s)
    request = dataplex_v1.ListJobsRequest(
        parent="parent_value",
    )

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

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

Lists action resources in a lake.

# 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 dataplex_v1

def sample_list_lake_actions():
    # Create a client
    client = dataplex_v1.DataplexServiceClient()

    # Initialize request argument(s)
    request = dataplex_v1.ListLakeActionsRequest(
        parent="parent_value",
    )

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

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

Lists lake resources 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 dataplex_v1

def sample_list_lakes():
    # Create a client
    client = dataplex_v1.DataplexServiceClient()

    # Initialize request argument(s)
    request = dataplex_v1.ListLakesRequest(
        parent="parent_value",
    )

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

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

Lists information about the supported locations for this service.

Lists operations that match the specified filter in the request.

Lists session resources in an environment.

# 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 dataplex_v1

def sample_list_sessions():
    # Create a client
    client = dataplex_v1.DataplexServiceClient()

    # Initialize request argument(s)
    request = dataplex_v1.ListSessionsRequest(
        parent="parent_value",
    )

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

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

Lists tasks under the given lake.

# 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 dataplex_v1

def sample_list_tasks():
    # Create a client
    client = dataplex_v1.DataplexServiceClient()

    # Initialize request argument(s)
    request = dataplex_v1.ListTasksRequest(
        parent="parent_value",
    )

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

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

Lists action resources in a zone.

# 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 dataplex_v1

def sample_list_zone_actions():
    # Create a client
    client = dataplex_v1.DataplexServiceClient()

    # Initialize request argument(s)
    request = dataplex_v1.ListZoneActionsRequest(
        parent="parent_value",
    )

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

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

Lists zone resources in a lake.

# 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 dataplex_v1

def sample_list_zones():
    # Create a client
    client = dataplex_v1.DataplexServiceClient()

    # Initialize request argument(s)
    request = dataplex_v1.ListZonesRequest(
        parent="parent_value",
    )

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

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

Parses a action path into its component segments.

Parses a asset path into its component segments.

Parse a billing_account path into its component segments.

Parse a folder path into its component segments.

Parse a location path into its component segments.

Parse a organization path into its component segments.

Parse a project path into its component segments.

Parses a environment path into its component segments.

Parses a job path into its component segments.

Parses a lake path into its component segments.

Parses a session path into its component segments.

Parses a task path into its component segments.

Parses a zone path into its component segments.

Run an on demand execution of a Task.

# 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 dataplex_v1

def sample_run_task():
    # Create a client
    client = dataplex_v1.DataplexServiceClient()

    # Initialize request argument(s)
    request = dataplex_v1.RunTaskRequest(
        name="name_value",
    )

    # Make the request
    response = client.run_task(request=request)

    # Handle the response
    print(response)

Returns a fully-qualified session string.

Returns a fully-qualified task string.

Updates an asset 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 dataplex_v1

def sample_update_asset():
    # Create a client
    client = dataplex_v1.DataplexServiceClient()

    # Initialize request argument(s)
    asset = dataplex_v1.Asset()
    asset.resource_spec.type_ = "BIGQUERY_DATASET"

    request = dataplex_v1.UpdateAssetRequest(
        asset=asset,
    )

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

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

    response = operation.result()

    # Handle the response
    print(response)

Update the environment 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 dataplex_v1

def sample_update_environment():
    # Create a client
    client = dataplex_v1.DataplexServiceClient()

    # Initialize request argument(s)
    environment = dataplex_v1.Environment()
    environment.infrastructure_spec.os_image.image_version = "image_version_value"

    request = dataplex_v1.UpdateEnvironmentRequest(
        environment=environment,
    )

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

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

    response = operation.result()

    # Handle the response
    print(response)

Updates a lake 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 dataplex_v1

def sample_update_lake():
    # Create a client
    client = dataplex_v1.DataplexServiceClient()

    # Initialize request argument(s)
    request = dataplex_v1.UpdateLakeRequest(
    )

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

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

    response = operation.result()

    # Handle the response
    print(response)

Update the task 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 dataplex_v1

def sample_update_task():
    # Create a client
    client = dataplex_v1.DataplexServiceClient()

    # Initialize request argument(s)
    task = dataplex_v1.Task()
    task.spark.main_jar_file_uri = "main_jar_file_uri_value"
    task.trigger_spec.schedule = "schedule_value"
    task.trigger_spec.type_ = "RECURRING"
    task.execution_spec.service_account = "service_account_value"

    request = dataplex_v1.UpdateTaskRequest(
        task=task,
    )

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

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

    response = operation.result()

    # Handle the response
    print(response)

Updates a zone 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 dataplex_v1

def sample_update_zone():
    # Create a client
    client = dataplex_v1.DataplexServiceClient()

    # Initialize request argument(s)
    zone = dataplex_v1.Zone()
    zone.type_ = "CURATED"
    zone.resource_spec.location_type = "MULTI_REGION"

    request = dataplex_v1.UpdateZoneRequest(
        zone=zone,
    )

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

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

    response = operation.result()

    # Handle the response
    print(response)

Returns a fully-qualified zone string.