Class DataTaxonomyServiceAsyncClient (2.2.2)

DataTaxonomyService enables attribute-based governance. The resources currently offered include DataTaxonomy and DataAttribute.

Return the API endpoint used by the client instance.

Returns the transport used by the client instance.

Return the universe domain used by the client instance.

Instantiates the data taxonomy service async client.

Starts asynchronous cancellation on a long-running operation.

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

Returns a fully-qualified billing_account string.

Returns a fully-qualified folder string.

Returns a fully-qualified location string.

Returns a fully-qualified organization string.

Returns a fully-qualified project string.

Create a DataAttribute 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_data_attribute():
    # Create a client
    client = dataplex_v1.DataTaxonomyServiceAsyncClient()

    # Initialize request argument(s)
    request = dataplex_v1.CreateDataAttributeRequest(
        parent="parent_value",
        data_attribute_id="data_attribute_id_value",
    )

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

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

    response = (await operation).result()

    # Handle the response
    print(response)

Create a DataAttributeBinding 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_data_attribute_binding():
    # Create a client
    client = dataplex_v1.DataTaxonomyServiceAsyncClient()

    # Initialize request argument(s)
    data_attribute_binding = dataplex_v1.DataAttributeBinding()
    data_attribute_binding.resource = "resource_value"

    request = dataplex_v1.CreateDataAttributeBindingRequest(
        parent="parent_value",
        data_attribute_binding_id="data_attribute_binding_id_value",
        data_attribute_binding=data_attribute_binding,
    )

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

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

    response = (await operation).result()

    # Handle the response
    print(response)

Create a DataTaxonomy 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_data_taxonomy():
    # Create a client
    client = dataplex_v1.DataTaxonomyServiceAsyncClient()

    # Initialize request argument(s)
    request = dataplex_v1.CreateDataTaxonomyRequest(
        parent="parent_value",
        data_taxonomy_id="data_taxonomy_id_value",
    )

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

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

    response = (await operation).result()

    # Handle the response
    print(response)

Returns a fully-qualified data_attribute_binding string.

Returns a fully-qualified data_attribute string.

Returns a fully-qualified data_taxonomy string.

Deletes a Data Attribute 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_data_attribute():
    # Create a client
    client = dataplex_v1.DataTaxonomyServiceAsyncClient()

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

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

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

    response = (await operation).result()

    # Handle the response
    print(response)

Deletes a DataAttributeBinding resource. All attributes within the DataAttributeBinding must be deleted before the DataAttributeBinding 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_data_attribute_binding():
    # Create a client
    client = dataplex_v1.DataTaxonomyServiceAsyncClient()

    # Initialize request argument(s)
    request = dataplex_v1.DeleteDataAttributeBindingRequest(
        name="name_value",
        etag="etag_value",
    )

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

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

    response = (await operation).result()

    # Handle the response
    print(response)

Deletes a DataTaxonomy resource. All attributes within the DataTaxonomy must be deleted before the DataTaxonomy 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_data_taxonomy():
    # Create a client
    client = dataplex_v1.DataTaxonomyServiceAsyncClient()

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

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

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

    response = (await operation).result()

    # Handle the response
    print(response)

Deletes a long-running operation.

This method indicates that the client is no longer interested in the operation result. It does not cancel the operation. If the server doesn't support this method, it returns google.rpc.Code.UNIMPLEMENTED.

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

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

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

Retrieves a Data Attribute 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_data_attribute():
    # Create a client
    client = dataplex_v1.DataTaxonomyServiceAsyncClient()

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

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

    # Handle the response
    print(response)

Retrieves a DataAttributeBinding 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_data_attribute_binding():
    # Create a client
    client = dataplex_v1.DataTaxonomyServiceAsyncClient()

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

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

    # Handle the response
    print(response)

Retrieves a DataTaxonomy 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_data_taxonomy():
    # Create a client
    client = dataplex_v1.DataTaxonomyServiceAsyncClient()

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

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

    # Handle the response
    print(response)

Gets information about a location.

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

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

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

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

Gets the latest state of a long-running operation.

Returns an appropriate transport class.

Lists DataAttributeBinding 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_data_attribute_bindings():
    # Create a client
    client = dataplex_v1.DataTaxonomyServiceAsyncClient()

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

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

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

Lists Data Attribute resources in a DataTaxonomy.

# 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_data_attributes():
    # Create a client
    client = dataplex_v1.DataTaxonomyServiceAsyncClient()

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

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

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

Lists DataTaxonomy 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_data_taxonomies():
    # Create a client
    client = dataplex_v1.DataTaxonomyServiceAsyncClient()

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

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

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

Lists information about the supported locations for this service.

Lists operations that match the specified filter in the request.

Parse a billing_account path into its component segments.

Parse a folder path into its component segments.

Parse a location path into its component segments.

Parse a organization path into its component segments.

Parse a project path into its component segments.

Parses a data_attribute_binding path into its component segments.

Parses a data_attribute path into its component segments.

Parses a data_taxonomy path into its component segments.

Updates a DataAttribute 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_data_attribute():
    # Create a client
    client = dataplex_v1.DataTaxonomyServiceAsyncClient()

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

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

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

    response = (await operation).result()

    # Handle the response
    print(response)

Updates a DataAttributeBinding 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_data_attribute_binding():
    # Create a client
    client = dataplex_v1.DataTaxonomyServiceAsyncClient()

    # Initialize request argument(s)
    data_attribute_binding = dataplex_v1.DataAttributeBinding()
    data_attribute_binding.resource = "resource_value"

    request = dataplex_v1.UpdateDataAttributeBindingRequest(
        data_attribute_binding=data_attribute_binding,
    )

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

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

    response = (await operation).result()

    # Handle the response
    print(response)

Updates a DataTaxonomy 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_data_taxonomy():
    # Create a client
    client = dataplex_v1.DataTaxonomyServiceAsyncClient()

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

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

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

    response = (await operation).result()

    # Handle the response
    print(response)