Class DataplexServiceAsyncClient (2.3.0)

Version 2.3.0

• 2.3.1 (latest)
• 2.3.0
• 2.2.2
• 2.1.0
• 2.0.1
• 1.13.0
• 1.12.3
• 1.11.0
• 1.10.0
• 1.9.0
• 1.8.1
• 1.7.0
• 1.6.2
• 1.5.1
• 1.4.3
• 1.3.0
• 1.2.0
• 1.1.3
• 1.0.1
• 0.2.1
• 0.1.0

DataplexServiceAsyncClient(*, credentials: typing.Optional[google.auth.credentials.Credentials] = None, transport: typing.Optional[typing.Union[str, google.cloud.dataplex_v1.services.dataplex_service.transports.base.DataplexServiceTransport, typing.Callable[[...], google.cloud.dataplex_v1.services.dataplex_service.transports.base.DataplexServiceTransport]]] = 'grpc_asyncio', client_options: typing.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>)

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.

Properties

api_endpoint

Return the API endpoint used by the client instance.

Returns
Type	Description
str	The API endpoint used by the client instance.

transport

Returns the transport used by the client instance.

Returns
Type	Description
DataplexServiceTransport	The transport used by the client instance.

universe_domain

Return the universe domain used by the client instance.

Returns
Type	Description
str	The universe domain used by the client instance.

Methods

DataplexServiceAsyncClient

DataplexServiceAsyncClient(*, credentials: typing.Optional[google.auth.credentials.Credentials] = None, transport: typing.Optional[typing.Union[str, google.cloud.dataplex_v1.services.dataplex_service.transports.base.DataplexServiceTransport, typing.Callable[[...], google.cloud.dataplex_v1.services.dataplex_service.transports.base.DataplexServiceTransport]]] = 'grpc_asyncio', client_options: typing.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 dataplex service async 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	Optional[Union[str,DataplexServiceTransport,Callable[..., DataplexServiceTransport]]] The transport to use, or a Callable that constructs and returns a new transport to use. If a Callable is given, it will be called with the same set of initialization arguments as used in the DataplexServiceTransport constructor. If set to None, a transport is chosen automatically.
client_options	Optional[Union[google.api_core.client_options.ClientOptions, dict]] Custom options for the client. 1. The api_endpoint property can be used to override the default endpoint provided by the client when transport is not explicitly provided. Only if this property is not set and transport was not explicitly provided, the endpoint is determined by the GOOGLE_API_USE_MTLS_ENDPOINT environment variable, which have one of the following values: "always" (always use the default mTLS endpoint), "never" (always use the default regular endpoint) and "auto" (auto-switch to the default mTLS endpoint if client certificate is present; this is the default value). 2. If the GOOGLE_API_USE_CLIENT_CERTIFICATE environment variable is "true", then the client_cert_source property can be used to provide a client certificate for mTLS transport. If not provided, the default SSL client certificate will be used if present. If GOOGLE_API_USE_CLIENT_CERTIFICATE is "false" or not set, no client certificate will be used. 3. The universe_domain property can be used to override the default "googleapis.com" universe. Note that api_endpoint property still takes precedence; and universe_domain is currently not supported for mTLS.
client_info	google.api_core.gapic_v1.client_info.ClientInfo The client info used to send a user-agent string along with API requests. If None, then default info will be used. Generally, you only need to set this if you're developing your own client library.

Exceptions
Type	Description
google.auth.exceptions.MutualTlsChannelError	If mutual TLS transport creation failed for any reason.

action_path

action_path(project: str, location: str, lake: str, action: str) -> str

Returns a fully-qualified action string.

asset_path

asset_path(project: str, location: str, lake: str, zone: str, asset: str) -> str

Returns a fully-qualified asset string.

cancel_job

cancel_job(
    request: typing.Optional[
        typing.Union[google.cloud.dataplex_v1.types.service.CancelJobRequest, dict]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

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

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

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

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

Parameters
Name	Description
request	Optional[Union[google.cloud.dataplex_v1.types.CancelJobRequest, dict]] The request object. Cancel task jobs.
name	str Required. The resource name of the job: projects/{project_number}/locations/{location_id}/lakes/{lake_id}/task/{task_id}/job/{job_id}. This corresponds to the name field on the request instance; if request is provided, this should not be set.
retry	google.api_core.retry_async.AsyncRetry 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.

cancel_operation

cancel_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.CancelOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

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.

Parameters
Name	Description
request	.operations_pb2.CancelOperationRequest The request object. Request message for CancelOperation method.
retry	google.api_core.retry_async.AsyncRetry 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.

common_billing_account_path

common_billing_account_path(billing_account: str) -> str

Returns a fully-qualified billing_account string.

common_folder_path

common_folder_path(folder: str) -> str

Returns a fully-qualified folder string.

common_location_path

common_location_path(project: str, location: str) -> str

Returns a fully-qualified location string.

common_organization_path

common_organization_path(organization: str) -> str

Returns a fully-qualified organization string.

common_project_path

common_project_path(project: str) -> str

Returns a fully-qualified project string.

create_asset

create_asset(
    request: typing.Optional[
        typing.Union[google.cloud.dataplex_v1.types.service.CreateAssetRequest, dict]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    asset: typing.Optional[google.cloud.dataplex_v1.types.resources.Asset] = None,
    asset_id: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation_async.AsyncOperation

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

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

    # 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 = (await operation).result()

    # Handle the response
    print(response)

Parameters
Name	Description
request	Optional[Union[google.cloud.dataplex_v1.types.CreateAssetRequest, dict]] The request object. Create asset request.
parent	str Required. The resource name of the parent zone: projects/{project_number}/locations/{location_id}/lakes/{lake_id}/zones/{zone_id}. This corresponds to the parent field on the request instance; if request is provided, this should not be set.
asset	Asset Required. Asset resource. This corresponds to the asset field on the request instance; if request is provided, this should not be set.
asset_id	str Required. Asset identifier. This ID will be used to generate names such as table names when publishing metadata to Hive Metastore and BigQuery. - Must contain only lowercase letters, numbers and hyphens. - Must start with a letter. - Must end with a number or a letter. - Must be between 1-63 characters. - Must be unique within the zone. This corresponds to the asset_id field on the request instance; if request is provided, this should not be set.
retry	google.api_core.retry_async.AsyncRetry 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 Asset An asset represents a cloud resource that is being managed within a lake as a member of a zone.

create_environment

create_environment(
    request: typing.Optional[
        typing.Union[
            google.cloud.dataplex_v1.types.service.CreateEnvironmentRequest, dict
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    environment: typing.Optional[
        google.cloud.dataplex_v1.types.analyze.Environment
    ] = None,
    environment_id: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation_async.AsyncOperation

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

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

    # 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 = (await operation).result()

    # Handle the response
    print(response)

Parameters
Name	Description
request	Optional[Union[google.cloud.dataplex_v1.types.CreateEnvironmentRequest, dict]] The request object. Create environment request.
parent	str Required. The resource name of the parent lake: projects/{project_id}/locations/{location_id}/lakes/{lake_id}. This corresponds to the parent field on the request instance; if request is provided, this should not be set.
environment	Environment Required. Environment resource. This corresponds to the environment field on the request instance; if request is provided, this should not be set.
environment_id	str Required. Environment identifier. - Must contain only lowercase letters, numbers and hyphens. - Must start with a letter. - Must be between 1-63 characters. - Must end with a number or a letter. - Must be unique within the lake. This corresponds to the environment_id field on the request instance; if request is provided, this should not be set.
retry	google.api_core.retry_async.AsyncRetry 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 Environment Environment represents a user-visible compute infrastructure for analytics within a lake.

create_lake

create_lake(
    request: typing.Optional[
        typing.Union[google.cloud.dataplex_v1.types.service.CreateLakeRequest, dict]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    lake: typing.Optional[google.cloud.dataplex_v1.types.resources.Lake] = None,
    lake_id: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation_async.AsyncOperation

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

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

    # 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 = (await operation).result()

    # Handle the response
    print(response)

Parameters
Name	Description
request	Optional[Union[google.cloud.dataplex_v1.types.CreateLakeRequest, dict]] The request object. Create lake request.
parent	str Required. The resource name of the lake location, of the form: projects/{project_number}/locations/{location_id} where location_id refers to a GCP region. This corresponds to the parent field on the request instance; if request is provided, this should not be set.
lake	Lake Required. Lake resource This corresponds to the lake field on the request instance; if request is provided, this should not be set.
lake_id	str Required. Lake identifier. This ID will be used to generate names such as database and dataset names when publishing metadata to Hive Metastore and BigQuery. - Must contain only lowercase letters, numbers and hyphens. - Must start with a letter. - Must end with a number or a letter. - Must be between 1-63 characters. - Must be unique within the customer project / location. This corresponds to the lake_id field on the request instance; if request is provided, this should not be set.
retry	google.api_core.retry_async.AsyncRetry 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 Lake A lake is a centralized repository for managing enterprise data across the organization distributed across many cloud projects, and stored in a variety of storage services such as Google Cloud Storage and BigQuery. The resources attached to a lake are referred to as managed resources. Data within these managed resources can be structured or unstructured. A lake provides data admins with tools to organize, secure and manage their data at scale, and provides data scientists and data engineers an integrated experience to easily search, discover, analyze and transform data and associated metadata.

create_task

create_task(
    request: typing.Optional[
        typing.Union[google.cloud.dataplex_v1.types.service.CreateTaskRequest, dict]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    task: typing.Optional[google.cloud.dataplex_v1.types.tasks.Task] = None,
    task_id: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation_async.AsyncOperation

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

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

    # 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 = (await operation).result()

    # Handle the response
    print(response)

Parameters
Name	Description
request	Optional[Union[google.cloud.dataplex_v1.types.CreateTaskRequest, dict]] The request object. Create task request.
parent	str Required. The resource name of the parent lake: projects/{project_number}/locations/{location_id}/lakes/{lake_id}. This corresponds to the parent field on the request instance; if request is provided, this should not be set.
task	Task Required. Task resource. This corresponds to the task field on the request instance; if request is provided, this should not be set.
task_id	str Required. Task identifier. This corresponds to the task_id field on the request instance; if request is provided, this should not be set.
retry	google.api_core.retry_async.AsyncRetry 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 Task A task represents a user-visible job.

create_zone

create_zone(
    request: typing.Optional[
        typing.Union[google.cloud.dataplex_v1.types.service.CreateZoneRequest, dict]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    zone: typing.Optional[google.cloud.dataplex_v1.types.resources.Zone] = None,
    zone_id: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation_async.AsyncOperation

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

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

    # 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 = (await operation).result()

    # Handle the response
    print(response)

Parameters
Name	Description
request	Optional[Union[google.cloud.dataplex_v1.types.CreateZoneRequest, dict]] The request object. Create zone request.
parent	str Required. The resource name of the parent lake: projects/{project_number}/locations/{location_id}/lakes/{lake_id}. This corresponds to the parent field on the request instance; if request is provided, this should not be set.
zone	Zone Required. Zone resource. This corresponds to the zone field on the request instance; if request is provided, this should not be set.
zone_id	str Required. Zone identifier. This ID will be used to generate names such as database and dataset names when publishing metadata to Hive Metastore and BigQuery. - Must contain only lowercase letters, numbers and hyphens. - Must start with a letter. - Must end with a number or a letter. - Must be between 1-63 characters. - Must be unique across all lakes from all locations in a project. - Must not be one of the reserved IDs (i.e. "default", "global-temp") This corresponds to the zone_id field on the request instance; if request is provided, this should not be set.
retry	google.api_core.retry_async.AsyncRetry 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 Zone A zone represents a logical group of related assets within a lake. A zone can be used to map to organizational structure or represent stages of data readiness from raw to curated. It provides managing behavior that is shared or inherited by all contained assets.

delete_asset

delete_asset(
    request: typing.Optional[
        typing.Union[google.cloud.dataplex_v1.types.service.DeleteAssetRequest, dict]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation_async.AsyncOperation

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

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

    # 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 = (await operation).result()

    # Handle the response
    print(response)

Parameters
Name	Description
request	Optional[Union[google.cloud.dataplex_v1.types.DeleteAssetRequest, dict]] The request object. Delete asset request.
name	str Required. The resource name of the asset: projects/{project_number}/locations/{location_id}/lakes/{lake_id}/zones/{zone_id}/assets/{asset_id}. This corresponds to the name field on the request instance; if request is provided, this should not be set.
retry	google.api_core.retry_async.AsyncRetry 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_environment

delete_environment(
    request: typing.Optional[
        typing.Union[
            google.cloud.dataplex_v1.types.service.DeleteEnvironmentRequest, dict
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation_async.AsyncOperation

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

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

    # 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 = (await operation).result()

    # Handle the response
    print(response)

Parameters
Name	Description
request	Optional[Union[google.cloud.dataplex_v1.types.DeleteEnvironmentRequest, dict]] The request object. Delete environment request.
name	str Required. The resource name of the environment: projects/{project_id}/locations/{location_id}/lakes/{lake_id}/environments/{environment_id}. This corresponds to the name field on the request instance; if request is provided, this should not be set.
retry	google.api_core.retry_async.AsyncRetry 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_lake

delete_lake(
    request: typing.Optional[
        typing.Union[google.cloud.dataplex_v1.types.service.DeleteLakeRequest, dict]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation_async.AsyncOperation

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

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

    # 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 = (await operation).result()

    # Handle the response
    print(response)

Parameters
Name	Description
request	Optional[Union[google.cloud.dataplex_v1.types.DeleteLakeRequest, dict]] The request object. Delete lake request.
name	str Required. The resource name of the lake: projects/{project_number}/locations/{location_id}/lakes/{lake_id}. This corresponds to the name field on the request instance; if request is provided, this should not be set.
retry	google.api_core.retry_async.AsyncRetry 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: typing.Optional[
        google.longrunning.operations_pb2.DeleteOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

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	.operations_pb2.DeleteOperationRequest The request object. Request message for DeleteOperation method.
retry	google.api_core.retry_async.AsyncRetry 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_task

delete_task(
    request: typing.Optional[
        typing.Union[google.cloud.dataplex_v1.types.service.DeleteTaskRequest, dict]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation_async.AsyncOperation

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

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

    # 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 = (await operation).result()

    # Handle the response
    print(response)

Parameters
Name	Description
request	Optional[Union[google.cloud.dataplex_v1.types.DeleteTaskRequest, dict]] The request object. Delete task request.
name	str Required. The resource name of the task: projects/{project_number}/locations/{location_id}/lakes/{lake_id}/task/{task_id}. This corresponds to the name field on the request instance; if request is provided, this should not be set.
retry	google.api_core.retry_async.AsyncRetry 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_zone

delete_zone(
    request: typing.Optional[
        typing.Union[google.cloud.dataplex_v1.types.service.DeleteZoneRequest, dict]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation_async.AsyncOperation

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

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

    # 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 = (await operation).result()

    # Handle the response
    print(response)

Parameters
Name	Description
request	Optional[Union[google.cloud.dataplex_v1.types.DeleteZoneRequest, dict]] The request object. Delete zone request.
name	str Required. The resource name of the zone: projects/{project_number}/locations/{location_id}/lakes/{lake_id}/zones/{zone_id}. This corresponds to the name field on the request instance; if request is provided, this should not be set.
retry	google.api_core.retry_async.AsyncRetry 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); }

environment_path

environment_path(project: str, location: str, lake: str, environment: str) -> str

Returns a fully-qualified environment string.

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
DataplexServiceAsyncClient	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
DataplexServiceAsyncClient	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
DataplexServiceAsyncClient	The constructed client.

get_asset

get_asset(
    request: typing.Optional[
        typing.Union[google.cloud.dataplex_v1.types.service.GetAssetRequest, dict]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.dataplex_v1.types.resources.Asset

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

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

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

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

    # Handle the response
    print(response)

Parameters
Name	Description
request	Optional[Union[google.cloud.dataplex_v1.types.GetAssetRequest, dict]] The request object. Get asset request.
name	str Required. The resource name of the asset: projects/{project_number}/locations/{location_id}/lakes/{lake_id}/zones/{zone_id}/assets/{asset_id}. This corresponds to the name field on the request instance; if request is provided, this should not be set.
retry	google.api_core.retry_async.AsyncRetry 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.dataplex_v1.types.Asset	An asset represents a cloud resource that is being managed within a lake as a member of a zone.

get_environment

get_environment(
    request: typing.Optional[
        typing.Union[google.cloud.dataplex_v1.types.service.GetEnvironmentRequest, dict]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.dataplex_v1.types.analyze.Environment

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

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

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

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

    # Handle the response
    print(response)

Parameters
Name	Description
request	Optional[Union[google.cloud.dataplex_v1.types.GetEnvironmentRequest, dict]] The request object. Get environment request.
name	str Required. The resource name of the environment: projects/{project_id}/locations/{location_id}/lakes/{lake_id}/environments/{environment_id}. This corresponds to the name field on the request instance; if request is provided, this should not be set.
retry	google.api_core.retry_async.AsyncRetry 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.dataplex_v1.types.Environment	Environment represents a user-visible compute infrastructure for analytics within a lake.

get_job

get_job(
    request: typing.Optional[
        typing.Union[google.cloud.dataplex_v1.types.service.GetJobRequest, dict]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.dataplex_v1.types.tasks.Job

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

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

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

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

    # Handle the response
    print(response)

Parameters
Name	Description
request	Optional[Union[google.cloud.dataplex_v1.types.GetJobRequest, dict]] The request object. Get job request.
name	str Required. The resource name of the job: projects/{project_number}/locations/{location_id}/lakes/{lake_id}/tasks/{task_id}/jobs/{job_id}. This corresponds to the name field on the request instance; if request is provided, this should not be set.
retry	google.api_core.retry_async.AsyncRetry 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.dataplex_v1.types.Job	A job represents an instance of a task.

get_lake

get_lake(
    request: typing.Optional[
        typing.Union[google.cloud.dataplex_v1.types.service.GetLakeRequest, dict]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.dataplex_v1.types.resources.Lake

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

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

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

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

    # Handle the response
    print(response)

Parameters
Name	Description
request	Optional[Union[google.cloud.dataplex_v1.types.GetLakeRequest, dict]] The request object. Get lake request.
name	str Required. The resource name of the lake: projects/{project_number}/locations/{location_id}/lakes/{lake_id}. This corresponds to the name field on the request instance; if request is provided, this should not be set.
retry	google.api_core.retry_async.AsyncRetry 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.dataplex_v1.types.Lake	A lake is a centralized repository for managing enterprise data across the organization distributed across many cloud projects, and stored in a variety of storage services such as Google Cloud Storage and BigQuery. The resources attached to a lake are referred to as managed resources. Data within these managed resources can be structured or unstructured. A lake provides data admins with tools to organize, secure and manage their data at scale, and provides data scientists and data engineers an integrated experience to easily search, discover, analyze and transform data and associated metadata.

get_location

get_location(
    request: typing.Optional[
        google.cloud.location.locations_pb2.GetLocationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.location.locations_pb2.Location

Gets information about a location.

Parameters
Name	Description
request	.location_pb2.GetLocationRequest The request object. Request message for GetLocation method.
retry	google.api_core.retry_async.AsyncRetry 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_pb2.Location	Location object.

get_mtls_endpoint_and_cert_source

get_mtls_endpoint_and_cert_source(
    client_options: typing.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 api_endpoint and client_cert_source properties may be used in this method.

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: typing.Optional[
        google.longrunning.operations_pb2.GetOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.Operation

Gets the latest state of a long-running operation.

Parameters
Name	Description
request	.operations_pb2.GetOperationRequest The request object. Request message for GetOperation method.
retry	google.api_core.retry_async.AsyncRetry 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
.operations_pb2.Operation	An Operation object.

get_task

get_task(
    request: typing.Optional[
        typing.Union[google.cloud.dataplex_v1.types.service.GetTaskRequest, dict]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.dataplex_v1.types.tasks.Task

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

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

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

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

    # Handle the response
    print(response)

Parameters
Name	Description
request	Optional[Union[google.cloud.dataplex_v1.types.GetTaskRequest, dict]] The request object. Get task request.
name	str Required. The resource name of the task: projects/{project_number}/locations/{location_id}/lakes/{lake_id}/tasks/{tasks_id}. This corresponds to the name field on the request instance; if request is provided, this should not be set.
retry	google.api_core.retry_async.AsyncRetry 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.dataplex_v1.types.Task	A task represents a user-visible job.

get_transport_class

get_transport_class(
    label: typing.Optional[str] = None,
) -> typing.Type[
    google.cloud.dataplex_v1.services.dataplex_service.transports.base.DataplexServiceTransport
]

Returns an appropriate transport class.

Parameter
Name	Description
label	typing.Optional[str] The name of the desired transport. If none is provided, then the first transport in the registry is used.

get_zone

get_zone(
    request: typing.Optional[
        typing.Union[google.cloud.dataplex_v1.types.service.GetZoneRequest, dict]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.dataplex_v1.types.resources.Zone

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

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

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

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

    # Handle the response
    print(response)

Parameters
Name	Description
request	Optional[Union[google.cloud.dataplex_v1.types.GetZoneRequest, dict]] The request object. Get zone request.
name	str Required. The resource name of the zone: projects/{project_number}/locations/{location_id}/lakes/{lake_id}/zones/{zone_id}. This corresponds to the name field on the request instance; if request is provided, this should not be set.
retry	google.api_core.retry_async.AsyncRetry 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.dataplex_v1.types.Zone	A zone represents a logical group of related assets within a lake. A zone can be used to map to organizational structure or represent stages of data readiness from raw to curated. It provides managing behavior that is shared or inherited by all contained assets.

job_path

job_path(project: str, location: str, lake: str, task: str, job: str) -> str

Returns a fully-qualified job string.

lake_path

lake_path(project: str, location: str, lake: str) -> str

Returns a fully-qualified lake string.

list_asset_actions

list_asset_actions(
    request: typing.Optional[
        typing.Union[
            google.cloud.dataplex_v1.types.service.ListAssetActionsRequest, dict
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> (
    google.cloud.dataplex_v1.services.dataplex_service.pagers.ListAssetActionsAsyncPager
)

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

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

    # 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
    async for response in page_result:
        print(response)

Parameters
Name	Description
request	Optional[Union[google.cloud.dataplex_v1.types.ListAssetActionsRequest, dict]] The request object. List asset actions request.
parent	str Required. The resource name of the parent asset: projects/{project_number}/locations/{location_id}/lakes/{lake_id}/zones/{zone_id}/assets/{asset_id}. This corresponds to the parent field on the request instance; if request is provided, this should not be set.
retry	google.api_core.retry_async.AsyncRetry 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.dataplex_v1.services.dataplex_service.pagers.ListAssetActionsAsyncPager	List actions response. Iterating over this object will yield results and resolve additional pages automatically.

list_assets

list_assets(
    request: typing.Optional[
        typing.Union[google.cloud.dataplex_v1.types.service.ListAssetsRequest, dict]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.dataplex_v1.services.dataplex_service.pagers.ListAssetsAsyncPager

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

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

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

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

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

Parameters
Name	Description
request	Optional[Union[google.cloud.dataplex_v1.types.ListAssetsRequest, dict]] The request object. List assets request.
parent	str Required. The resource name of the parent zone: projects/{project_number}/locations/{location_id}/lakes/{lake_id}/zones/{zone_id}. This corresponds to the parent field on the request instance; if request is provided, this should not be set.
retry	google.api_core.retry_async.AsyncRetry 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.dataplex_v1.services.dataplex_service.pagers.ListAssetsAsyncPager	List assets response. Iterating over this object will yield results and resolve additional pages automatically.

list_environments

list_environments(
    request: typing.Optional[
        typing.Union[
            google.cloud.dataplex_v1.types.service.ListEnvironmentsRequest, dict
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> (
    google.cloud.dataplex_v1.services.dataplex_service.pagers.ListEnvironmentsAsyncPager
)

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

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

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

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

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

Parameters
Name	Description
request	Optional[Union[google.cloud.dataplex_v1.types.ListEnvironmentsRequest, dict]] The request object. List environments request.
parent	str Required. The resource name of the parent lake: projects/{project_id}/locations/{location_id}/lakes/{lake_id}. This corresponds to the parent field on the request instance; if request is provided, this should not be set.
retry	google.api_core.retry_async.AsyncRetry 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.dataplex_v1.services.dataplex_service.pagers.ListEnvironmentsAsyncPager	List environments response. Iterating over this object will yield results and resolve additional pages automatically.

list_jobs

list_jobs(
    request: typing.Optional[
        typing.Union[google.cloud.dataplex_v1.types.service.ListJobsRequest, dict]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.dataplex_v1.services.dataplex_service.pagers.ListJobsAsyncPager

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

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

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

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

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

Parameters
Name	Description
request	Optional[Union[google.cloud.dataplex_v1.types.ListJobsRequest, dict]] The request object. List jobs request.
parent	str Required. The resource name of the parent environment: projects/{project_number}/locations/{location_id}/lakes/{lake_id}/tasks/{task_id}. This corresponds to the parent field on the request instance; if request is provided, this should not be set.
retry	google.api_core.retry_async.AsyncRetry 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.dataplex_v1.services.dataplex_service.pagers.ListJobsAsyncPager	List jobs response. Iterating over this object will yield results and resolve additional pages automatically.

list_lake_actions

list_lake_actions(
    request: typing.Optional[
        typing.Union[
            google.cloud.dataplex_v1.types.service.ListLakeActionsRequest, dict
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> (
    google.cloud.dataplex_v1.services.dataplex_service.pagers.ListLakeActionsAsyncPager
)

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

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

    # 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
    async for response in page_result:
        print(response)

Parameters
Name	Description
request	Optional[Union[google.cloud.dataplex_v1.types.ListLakeActionsRequest, dict]] The request object. List lake actions request.
parent	str Required. The resource name of the parent lake: projects/{project_number}/locations/{location_id}/lakes/{lake_id}. This corresponds to the parent field on the request instance; if request is provided, this should not be set.
retry	google.api_core.retry_async.AsyncRetry 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.dataplex_v1.services.dataplex_service.pagers.ListLakeActionsAsyncPager	List actions response. Iterating over this object will yield results and resolve additional pages automatically.

list_lakes

list_lakes(
    request: typing.Optional[
        typing.Union[google.cloud.dataplex_v1.types.service.ListLakesRequest, dict]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.dataplex_v1.services.dataplex_service.pagers.ListLakesAsyncPager

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

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

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

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

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

Parameters
Name	Description
request	Optional[Union[google.cloud.dataplex_v1.types.ListLakesRequest, dict]] The request object. List lakes request.
parent	str Required. The resource name of the lake location, of the form: projects/{project_number}/locations/{location_id} where location_id refers to a GCP region. This corresponds to the parent field on the request instance; if request is provided, this should not be set.
retry	google.api_core.retry_async.AsyncRetry 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.dataplex_v1.services.dataplex_service.pagers.ListLakesAsyncPager	List lakes response. Iterating over this object will yield results and resolve additional pages automatically.

list_locations

list_locations(
    request: typing.Optional[
        google.cloud.location.locations_pb2.ListLocationsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.location.locations_pb2.ListLocationsResponse

Lists information about the supported locations for this service.

Parameters
Name	Description
request	.location_pb2.ListLocationsRequest The request object. Request message for ListLocations method.
retry	google.api_core.retry_async.AsyncRetry 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_pb2.ListLocationsResponse	Response message for ListLocations method.

list_operations

list_operations(
    request: typing.Optional[
        google.longrunning.operations_pb2.ListOperationsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.ListOperationsResponse

Lists operations that match the specified filter in the request.

Parameters
Name	Description
request	.operations_pb2.ListOperationsRequest The request object. Request message for ListOperations method.
retry	google.api_core.retry_async.AsyncRetry 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
.operations_pb2.ListOperationsResponse	Response message for ListOperations method.

list_sessions

list_sessions(
    request: typing.Optional[
        typing.Union[google.cloud.dataplex_v1.types.service.ListSessionsRequest, dict]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.dataplex_v1.services.dataplex_service.pagers.ListSessionsAsyncPager

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

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

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

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

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

Parameters
Name	Description
request	Optional[Union[google.cloud.dataplex_v1.types.ListSessionsRequest, dict]] The request object. List sessions request.
parent	str Required. The resource name of the parent environment: projects/{project_number}/locations/{location_id}/lakes/{lake_id}/environment/{environment_id}. This corresponds to the parent field on the request instance; if request is provided, this should not be set.
retry	google.api_core.retry_async.AsyncRetry 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.dataplex_v1.services.dataplex_service.pagers.ListSessionsAsyncPager	List sessions response. Iterating over this object will yield results and resolve additional pages automatically.

list_tasks

list_tasks(
    request: typing.Optional[
        typing.Union[google.cloud.dataplex_v1.types.service.ListTasksRequest, dict]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.dataplex_v1.services.dataplex_service.pagers.ListTasksAsyncPager

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

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

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

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

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

Parameters
Name	Description
request	Optional[Union[google.cloud.dataplex_v1.types.ListTasksRequest, dict]] The request object. List tasks request.
parent	str Required. The resource name of the parent lake: projects/{project_number}/locations/{location_id}/lakes/{lake_id}. This corresponds to the parent field on the request instance; if request is provided, this should not be set.
retry	google.api_core.retry_async.AsyncRetry 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.dataplex_v1.services.dataplex_service.pagers.ListTasksAsyncPager	List tasks response. Iterating over this object will yield results and resolve additional pages automatically.

list_zone_actions

list_zone_actions(
    request: typing.Optional[
        typing.Union[
            google.cloud.dataplex_v1.types.service.ListZoneActionsRequest, dict
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> (
    google.cloud.dataplex_v1.services.dataplex_service.pagers.ListZoneActionsAsyncPager
)

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

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

    # 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
    async for response in page_result:
        print(response)

Parameters
Name	Description
request	Optional[Union[google.cloud.dataplex_v1.types.ListZoneActionsRequest, dict]] The request object. List zone actions request.
parent	str Required. The resource name of the parent zone: projects/{project_number}/locations/{location_id}/lakes/{lake_id}/zones/{zone_id}. This corresponds to the parent field on the request instance; if request is provided, this should not be set.
retry	google.api_core.retry_async.AsyncRetry 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.dataplex_v1.services.dataplex_service.pagers.ListZoneActionsAsyncPager	List actions response. Iterating over this object will yield results and resolve additional pages automatically.

list_zones

list_zones(
    request: typing.Optional[
        typing.Union[google.cloud.dataplex_v1.types.service.ListZonesRequest, dict]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.dataplex_v1.services.dataplex_service.pagers.ListZonesAsyncPager

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

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

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

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

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

Parameters
Name	Description
request	Optional[Union[google.cloud.dataplex_v1.types.ListZonesRequest, dict]] The request object. List zones request.
parent	str Required. The resource name of the parent lake: projects/{project_number}/locations/{location_id}/lakes/{lake_id}. This corresponds to the parent field on the request instance; if request is provided, this should not be set.
retry	google.api_core.retry_async.AsyncRetry 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.dataplex_v1.services.dataplex_service.pagers.ListZonesAsyncPager	List zones response. Iterating over this object will yield results and resolve additional pages automatically.

parse_action_path

parse_action_path(path: str) -> typing.Dict[str, str]

Parses a action path into its component segments.

parse_asset_path

parse_asset_path(path: str) -> typing.Dict[str, str]

Parses a asset path into its component segments.

parse_common_billing_account_path

parse_common_billing_account_path(path: str) -> typing.Dict[str, str]

Parse a billing_account path into its component segments.

parse_common_folder_path

parse_common_folder_path(path: str) -> typing.Dict[str, str]

Parse a folder path into its component segments.

parse_common_location_path

parse_common_location_path(path: str) -> typing.Dict[str, str]

Parse a location path into its component segments.

parse_common_organization_path

parse_common_organization_path(path: str) -> typing.Dict[str, str]

Parse a organization path into its component segments.

parse_common_project_path

parse_common_project_path(path: str) -> typing.Dict[str, str]

Parse a project path into its component segments.

parse_environment_path

parse_environment_path(path: str) -> typing.Dict[str, str]

Parses a environment path into its component segments.

parse_job_path

parse_job_path(path: str) -> typing.Dict[str, str]

Parses a job path into its component segments.

parse_lake_path

parse_lake_path(path: str) -> typing.Dict[str, str]

Parses a lake path into its component segments.

parse_session_path

parse_session_path(path: str) -> typing.Dict[str, str]

Parses a session path into its component segments.

parse_task_path

parse_task_path(path: str) -> typing.Dict[str, str]

Parses a task path into its component segments.

parse_zone_path

parse_zone_path(path: str) -> typing.Dict[str, str]

Parses a zone path into its component segments.

run_task

run_task(
    request: typing.Optional[
        typing.Union[google.cloud.dataplex_v1.types.service.RunTaskRequest, dict]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.dataplex_v1.types.service.RunTaskResponse

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

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

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

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

    # Handle the response
    print(response)

Parameters
Name	Description
request	Optional[Union[google.cloud.dataplex_v1.types.RunTaskRequest, dict]] The request object.
name	str Required. The resource name of the task: projects/{project_number}/locations/{location_id}/lakes/{lake_id}/tasks/{task_id}. This corresponds to the name field on the request instance; if request is provided, this should not be set.
retry	google.api_core.retry_async.AsyncRetry 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.

session_path

session_path(
    project: str, location: str, lake: str, environment: str, session: str
) -> str

Returns a fully-qualified session string.

task_path

task_path(project: str, location: str, lake: str, task: str) -> str

Returns a fully-qualified task string.

update_asset

update_asset(
    request: typing.Optional[
        typing.Union[google.cloud.dataplex_v1.types.service.UpdateAssetRequest, dict]
    ] = None,
    *,
    asset: typing.Optional[google.cloud.dataplex_v1.types.resources.Asset] = None,
    update_mask: typing.Optional[google.protobuf.field_mask_pb2.FieldMask] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation_async.AsyncOperation

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

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

    # 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 = (await operation).result()

    # Handle the response
    print(response)

Parameters
Name	Description
request	Optional[Union[google.cloud.dataplex_v1.types.UpdateAssetRequest, dict]] The request object. Update asset request.
asset	Asset Required. Update description. Only fields specified in update_mask are updated. This corresponds to the asset field on the request instance; if request is provided, this should not be set.
update_mask	google.protobuf.field_mask_pb2.FieldMask Required. Mask of fields to update. This corresponds to the update_mask field on the request instance; if request is provided, this should not be set.
retry	google.api_core.retry_async.AsyncRetry 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 Asset An asset represents a cloud resource that is being managed within a lake as a member of a zone.

update_environment

update_environment(
    request: typing.Optional[
        typing.Union[
            google.cloud.dataplex_v1.types.service.UpdateEnvironmentRequest, dict
        ]
    ] = None,
    *,
    environment: typing.Optional[
        google.cloud.dataplex_v1.types.analyze.Environment
    ] = None,
    update_mask: typing.Optional[google.protobuf.field_mask_pb2.FieldMask] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation_async.AsyncOperation

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

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

    # 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 = (await operation).result()

    # Handle the response
    print(response)

Parameters
Name	Description
request	Optional[Union[google.cloud.dataplex_v1.types.UpdateEnvironmentRequest, dict]] The request object. Update environment request.
environment	Environment Required. Update description. Only fields specified in update_mask are updated. This corresponds to the environment field on the request instance; if request is provided, this should not be set.
update_mask	google.protobuf.field_mask_pb2.FieldMask Required. Mask of fields to update. This corresponds to the update_mask field on the request instance; if request is provided, this should not be set.
retry	google.api_core.retry_async.AsyncRetry 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 Environment Environment represents a user-visible compute infrastructure for analytics within a lake.

update_lake

update_lake(
    request: typing.Optional[
        typing.Union[google.cloud.dataplex_v1.types.service.UpdateLakeRequest, dict]
    ] = None,
    *,
    lake: typing.Optional[google.cloud.dataplex_v1.types.resources.Lake] = None,
    update_mask: typing.Optional[google.protobuf.field_mask_pb2.FieldMask] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation_async.AsyncOperation

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

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

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

    # Make the request
    operation = client.update_lake(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.dataplex_v1.types.UpdateLakeRequest, dict]] The request object. Update lake request.
lake	Lake Required. Update description. Only fields specified in update_mask are updated. This corresponds to the lake field on the request instance; if request is provided, this should not be set.
update_mask	google.protobuf.field_mask_pb2.FieldMask Required. Mask of fields to update. This corresponds to the update_mask field on the request instance; if request is provided, this should not be set.
retry	google.api_core.retry_async.AsyncRetry 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 Lake A lake is a centralized repository for managing enterprise data across the organization distributed across many cloud projects, and stored in a variety of storage services such as Google Cloud Storage and BigQuery. The resources attached to a lake are referred to as managed resources. Data within these managed resources can be structured or unstructured. A lake provides data admins with tools to organize, secure and manage their data at scale, and provides data scientists and data engineers an integrated experience to easily search, discover, analyze and transform data and associated metadata.

update_task

update_task(
    request: typing.Optional[
        typing.Union[google.cloud.dataplex_v1.types.service.UpdateTaskRequest, dict]
    ] = None,
    *,
    task: typing.Optional[google.cloud.dataplex_v1.types.tasks.Task] = None,
    update_mask: typing.Optional[google.protobuf.field_mask_pb2.FieldMask] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation_async.AsyncOperation

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

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

    # 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 = (await operation).result()

    # Handle the response
    print(response)

Parameters
Name	Description
request	Optional[Union[google.cloud.dataplex_v1.types.UpdateTaskRequest, dict]] The request object. Update task request.
task	Task Required. Update description. Only fields specified in update_mask are updated. This corresponds to the task field on the request instance; if request is provided, this should not be set.
update_mask	google.protobuf.field_mask_pb2.FieldMask Required. Mask of fields to update. This corresponds to the update_mask field on the request instance; if request is provided, this should not be set.
retry	google.api_core.retry_async.AsyncRetry 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 Task A task represents a user-visible job.

update_zone

update_zone(
    request: typing.Optional[
        typing.Union[google.cloud.dataplex_v1.types.service.UpdateZoneRequest, dict]
    ] = None,
    *,
    zone: typing.Optional[google.cloud.dataplex_v1.types.resources.Zone] = None,
    update_mask: typing.Optional[google.protobuf.field_mask_pb2.FieldMask] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation_async.AsyncOperation

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

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

    # 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 = (await operation).result()

    # Handle the response
    print(response)

Parameters
Name	Description
request	Optional[Union[google.cloud.dataplex_v1.types.UpdateZoneRequest, dict]] The request object. Update zone request.
zone	Zone Required. Update description. Only fields specified in update_mask are updated. This corresponds to the zone field on the request instance; if request is provided, this should not be set.
update_mask	google.protobuf.field_mask_pb2.FieldMask Required. Mask of fields to update. This corresponds to the update_mask field on the request instance; if request is provided, this should not be set.
retry	google.api_core.retry_async.AsyncRetry 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 Zone A zone represents a logical group of related assets within a lake. A zone can be used to map to organizational structure or represent stages of data readiness from raw to curated. It provides managing behavior that is shared or inherited by all contained assets.

zone_path

zone_path(project: str, location: str, lake: str, zone: str) -> str

Returns a fully-qualified zone string.