Class DataTaxonomyServiceClient (1.9.0)

DataTaxonomyServiceClient(*, credentials: typing.Optional[google.auth.credentials.Credentials] = None, transport: typing.Optional[typing.Union[str, google.cloud.dataplex_v1.services.data_taxonomy_service.transports.base.DataTaxonomyServiceTransport]] = None, client_options: typing.Optional[typing.Union[google.api_core.client_options.ClientOptions, dict]] = None, client_info: google.api_core.gapic_v1.client_info.ClientInfo = <google.api_core.gapic_v1.client_info.ClientInfo object>)

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

Properties

transport

Returns the transport used by the client instance.

Returns
Type	Description
`DataTaxonomyServiceTransport`	The transport used by the client instance.

Methods

DataTaxonomyServiceClient

DataTaxonomyServiceClient(*, credentials: typing.Optional[google.auth.credentials.Credentials] = None, transport: typing.Optional[typing.Union[str, google.cloud.dataplex_v1.services.data_taxonomy_service.transports.base.DataTaxonomyServiceTransport]] = None, client_options: typing.Optional[typing.Union[google.api_core.client_options.ClientOptions, dict]] = None, client_info: google.api_core.gapic_v1.client_info.ClientInfo = <google.api_core.gapic_v1.client_info.ClientInfo object>)

Instantiates the data taxonomy service client.

Parameters
Name	Description
`credentials`	`Optional[google.auth.credentials.Credentials]` The authorization credentials to attach to requests. These credentials identify the application to the service; if none are specified, the client will attempt to ascertain the credentials from the environment.
`transport`	`Union[str, DataTaxonomyServiceTransport]` The transport to use. 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. It won't take effect if a `transport` instance is provided. (1) The `api_endpoint` property can be used to override the default endpoint provided by the client. GOOGLE_API_USE_MTLS_ENDPOINT environment variable can also be used to override the endpoint: "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). However, the `api_endpoint` property takes precedence if provided. (2) If GOOGLE_API_USE_CLIENT_CERTIFICATE environment variable is "true", then the `client_cert_source` property can be used to provide client certificate for mutual TLS 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.
`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.

exit

__exit__(type, value, traceback)

Releases underlying transport's resources.

cancel_operation

cancel_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.CancelOperationRequest
    ] = None,
    *,
    retry: typing.Union[
        google.api_core.retry.Retry, 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.Retry` Designation of what errors, if any, should be retried.
`timeout`	`float` The timeout for this request.
`metadata`	`Sequence[Tuple[str, str]]` Strings which should be sent along with the request as metadata.

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_data_attribute

create_data_attribute(
    request: typing.Optional[
        typing.Union[
            google.cloud.dataplex_v1.types.data_taxonomy.CreateDataAttributeRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    data_attribute: typing.Optional[
        google.cloud.dataplex_v1.types.data_taxonomy.DataAttribute
    ] = None,
    data_attribute_id: typing.Optional[str] = None,
    retry: typing.Union[
        google.api_core.retry.Retry, 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.Operation

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

def sample_create_data_attribute():
    # Create a client
    client = dataplex_v1.DataTaxonomyServiceClient()

    # 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 = operation.result()

    # Handle the response
    print(response)

Parameters
Name	Description
`request`	`Union[google.cloud.dataplex_v1.types.CreateDataAttributeRequest, dict]` The request object. Create DataAttribute request.
`parent`	`str` Required. The resource name of the parent data taxonomy projects/{project_number}/locations/{location_id}/dataTaxonomies/{data_taxonomy_id} This corresponds to the `parent` field on the `request` instance; if `request` is provided, this should not be set.
`data_attribute`	`google.cloud.dataplex_v1.types.DataAttribute` Required. DataAttribute resource. This corresponds to the `data_attribute` field on the `request` instance; if `request` is provided, this should not be set.
`data_attribute_id`	`str` Required. DataAttribute 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 DataTaxonomy. This corresponds to the `data_attribute_id` field on the `request` instance; if `request` is provided, this should not be set.
`retry`	`google.api_core.retry.Retry` Designation of what errors, if any, should be retried.
`timeout`	`float` The timeout for this request.
`metadata`	`Sequence[Tuple[str, str]]` Strings which should be sent along with the request as metadata.

Returns

Type Description

google.api_core.operation.Operation An object representing a long-running operation. The result type for the operation will be DataAttribute Denotes one dataAttribute in a dataTaxonomy, for example, PII. DataAttribute resources can be defined in a hierarchy. A single dataAttribute resource can contain specs of multiple types :literal:\ PII - ResourceAccessSpec : - readers :foo@bar.com - DataAccessSpec : - readers :bar@foo.com\ \

create_data_attribute_binding

create_data_attribute_binding(
    request: typing.Optional[
        typing.Union[
            google.cloud.dataplex_v1.types.data_taxonomy.CreateDataAttributeBindingRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    data_attribute_binding: typing.Optional[
        google.cloud.dataplex_v1.types.data_taxonomy.DataAttributeBinding
    ] = None,
    data_attribute_binding_id: typing.Optional[str] = None,
    retry: typing.Union[
        google.api_core.retry.Retry, 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.Operation

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

def sample_create_data_attribute_binding():
    # Create a client
    client = dataplex_v1.DataTaxonomyServiceClient()

    # 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 = operation.result()

    # Handle the response
    print(response)

Parameters
Name	Description
`request`	`Union[google.cloud.dataplex_v1.types.CreateDataAttributeBindingRequest, dict]` The request object. Create DataAttributeBinding request.
`parent`	`str` Required. The resource name of the parent data taxonomy projects/{project_number}/locations/{location_id} This corresponds to the `parent` field on the `request` instance; if `request` is provided, this should not be set.
`data_attribute_binding`	`google.cloud.dataplex_v1.types.DataAttributeBinding` Required. DataAttributeBinding resource. This corresponds to the `data_attribute_binding` field on the `request` instance; if `request` is provided, this should not be set.
`data_attribute_binding_id`	`str` Required. DataAttributeBinding 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 Location. This corresponds to the `data_attribute_binding_id` field on the `request` instance; if `request` is provided, this should not be set.
`retry`	`google.api_core.retry.Retry` Designation of what errors, if any, should be retried.
`timeout`	`float` The timeout for this request.
`metadata`	`Sequence[Tuple[str, str]]` Strings which should be sent along with the request as metadata.

Returns
Type	Description
`google.api_core.operation.Operation`	An object representing a long-running operation. The result type for the operation will be DataAttributeBinding DataAttributeBinding represents binding of attributes to resources. Eg: Bind 'CustomerInfo' entity with 'PII' attribute.

create_data_taxonomy

create_data_taxonomy(
    request: typing.Optional[
        typing.Union[
            google.cloud.dataplex_v1.types.data_taxonomy.CreateDataTaxonomyRequest, dict
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    data_taxonomy: typing.Optional[
        google.cloud.dataplex_v1.types.data_taxonomy.DataTaxonomy
    ] = None,
    data_taxonomy_id: typing.Optional[str] = None,
    retry: typing.Union[
        google.api_core.retry.Retry, 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.Operation

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

def sample_create_data_taxonomy():
    # Create a client
    client = dataplex_v1.DataTaxonomyServiceClient()

    # 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 = operation.result()

    # Handle the response
    print(response)

Parameters
Name	Description
`request`	`Union[google.cloud.dataplex_v1.types.CreateDataTaxonomyRequest, dict]` The request object. Create DataTaxonomy request.
`parent`	`str` Required. The resource name of the data taxonomy 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.
`data_taxonomy`	`google.cloud.dataplex_v1.types.DataTaxonomy` Required. DataTaxonomy resource. This corresponds to the `data_taxonomy` field on the `request` instance; if `request` is provided, this should not be set.
`data_taxonomy_id`	`str` Required. DataTaxonomy 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 Project. This corresponds to the `data_taxonomy_id` field on the `request` instance; if `request` is provided, this should not be set.
`retry`	`google.api_core.retry.Retry` Designation of what errors, if any, should be retried.
`timeout`	`float` The timeout for this request.
`metadata`	`Sequence[Tuple[str, str]]` Strings which should be sent along with the request as metadata.

Returns
Type	Description
`google.api_core.operation.Operation`	An object representing a long-running operation. The result type for the operation will be DataTaxonomy DataTaxonomy represents a set of hierarchical DataAttributes resources, grouped with a common theme Eg: 'SensitiveDataTaxonomy' can have attributes to manage PII data. It is defined at project level.

data_attribute_binding_path

data_attribute_binding_path(
    project: str, location: str, data_attribute_binding_id: str
) -> str

Returns a fully-qualified data_attribute_binding string.

data_attribute_path

data_attribute_path(
    project: str, location: str, dataTaxonomy: str, data_attribute_id: str
) -> str

Returns a fully-qualified data_attribute string.

data_taxonomy_path

data_taxonomy_path(project: str, location: str, data_taxonomy_id: str) -> str

Returns a fully-qualified data_taxonomy string.

delete_data_attribute

delete_data_attribute(
    request: typing.Optional[
        typing.Union[
            google.cloud.dataplex_v1.types.data_taxonomy.DeleteDataAttributeRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Union[
        google.api_core.retry.Retry, 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.Operation

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

def sample_delete_data_attribute():
    # Create a client
    client = dataplex_v1.DataTaxonomyServiceClient()

    # 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 = operation.result()

    # Handle the response
    print(response)

Parameters
Name	Description
`request`	`Union[google.cloud.dataplex_v1.types.DeleteDataAttributeRequest, dict]` The request object. Delete DataAttribute request.
`name`	`str` Required. The resource name of the DataAttribute: projects/{project_number}/locations/{location_id}/dataTaxonomies/{dataTaxonomy}/attributes/{data_attribute_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.Retry` Designation of what errors, if any, should be retried.
`timeout`	`float` The timeout for this request.
`metadata`	`Sequence[Tuple[str, str]]` Strings which should be sent along with the request as metadata.

Returns

Type Description

google.api_core.operation.Operation 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_data_attribute_binding

delete_data_attribute_binding(
    request: typing.Optional[
        typing.Union[
            google.cloud.dataplex_v1.types.data_taxonomy.DeleteDataAttributeBindingRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Union[
        google.api_core.retry.Retry, 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.Operation

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

def sample_delete_data_attribute_binding():
    # Create a client
    client = dataplex_v1.DataTaxonomyServiceClient()

    # 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 = operation.result()

    # Handle the response
    print(response)

Parameters
Name	Description
`request`	`Union[google.cloud.dataplex_v1.types.DeleteDataAttributeBindingRequest, dict]` The request object. Delete DataAttributeBinding request.
`name`	`str` Required. The resource name of the DataAttributeBinding: projects/{project_number}/locations/{location_id}/dataAttributeBindings/{data_attribute_binding_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.Retry` Designation of what errors, if any, should be retried.
`timeout`	`float` The timeout for this request.
`metadata`	`Sequence[Tuple[str, str]]` Strings which should be sent along with the request as metadata.

Returns

Type Description

delete_data_taxonomy

delete_data_taxonomy(
    request: typing.Optional[
        typing.Union[
            google.cloud.dataplex_v1.types.data_taxonomy.DeleteDataTaxonomyRequest, dict
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Union[
        google.api_core.retry.Retry, 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.Operation

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

def sample_delete_data_taxonomy():
    # Create a client
    client = dataplex_v1.DataTaxonomyServiceClient()

    # 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 = operation.result()

    # Handle the response
    print(response)

Parameters
Name	Description
`request`	`Union[google.cloud.dataplex_v1.types.DeleteDataTaxonomyRequest, dict]` The request object. Delete DataTaxonomy request.
`name`	`str` Required. The resource name of the DataTaxonomy: projects/{project_number}/locations/{location_id}/dataTaxonomies/{data_taxonomy_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.Retry` Designation of what errors, if any, should be retried.
`timeout`	`float` The timeout for this request.
`metadata`	`Sequence[Tuple[str, str]]` Strings which should be sent along with the request as metadata.

Returns

Type Description

delete_operation

delete_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.DeleteOperationRequest
    ] = None,
    *,
    retry: typing.Union[
        google.api_core.retry.Retry, 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.Retry` Designation of what errors, if any, should be retried.
`timeout`	`float` The timeout for this request.
`metadata`	`Sequence[Tuple[str, str]]` Strings which should be sent along with the request as metadata.

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
`DataTaxonomyServiceClient`	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
`DataTaxonomyServiceClient`	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
`DataTaxonomyServiceClient`	The constructed client.

get_data_attribute

get_data_attribute(
    request: typing.Optional[
        typing.Union[
            google.cloud.dataplex_v1.types.data_taxonomy.GetDataAttributeRequest, dict
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Union[
        google.api_core.retry.Retry, 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.data_taxonomy.DataAttribute

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

def sample_get_data_attribute():
    # Create a client
    client = dataplex_v1.DataTaxonomyServiceClient()

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

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

    # Handle the response
    print(response)

Parameters
Name	Description
`request`	`Union[google.cloud.dataplex_v1.types.GetDataAttributeRequest, dict]` The request object. Get DataAttribute request.
`name`	`str` Required. The resource name of the dataAttribute: projects/{project_number}/locations/{location_id}/dataTaxonomies/{dataTaxonomy}/attributes/{data_attribute_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.Retry` Designation of what errors, if any, should be retried.
`timeout`	`float` The timeout for this request.
`metadata`	`Sequence[Tuple[str, str]]` Strings which should be sent along with the request as metadata.

Returns
Type	Description
`google.cloud.dataplex_v1.types.DataAttribute`	Denotes one dataAttribute in a dataTaxonomy, for example, PII. DataAttribute resources can be defined in a hierarchy. A single dataAttribute resource can contain specs of multiple types :literal:`\` PII - ResourceAccessSpec : - readers :foo@bar.com - DataAccessSpec : - readers :bar@foo.com`\ \`

get_data_attribute_binding

get_data_attribute_binding(
    request: typing.Optional[
        typing.Union[
            google.cloud.dataplex_v1.types.data_taxonomy.GetDataAttributeBindingRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Union[
        google.api_core.retry.Retry, 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.data_taxonomy.DataAttributeBinding

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

def sample_get_data_attribute_binding():
    # Create a client
    client = dataplex_v1.DataTaxonomyServiceClient()

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

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

    # Handle the response
    print(response)

Parameters
Name	Description
`request`	`Union[google.cloud.dataplex_v1.types.GetDataAttributeBindingRequest, dict]` The request object. Get DataAttributeBinding request.
`name`	`str` Required. The resource name of the DataAttributeBinding: projects/{project_number}/locations/{location_id}/dataAttributeBindings/{data_attribute_binding_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.Retry` Designation of what errors, if any, should be retried.
`timeout`	`float` The timeout for this request.
`metadata`	`Sequence[Tuple[str, str]]` Strings which should be sent along with the request as metadata.

Returns
Type	Description
`google.cloud.dataplex_v1.types.DataAttributeBinding`	DataAttributeBinding represents binding of attributes to resources. Eg: Bind 'CustomerInfo' entity with 'PII' attribute.

get_data_taxonomy

get_data_taxonomy(
    request: typing.Optional[
        typing.Union[
            google.cloud.dataplex_v1.types.data_taxonomy.GetDataTaxonomyRequest, dict
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Union[
        google.api_core.retry.Retry, 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.data_taxonomy.DataTaxonomy

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

def sample_get_data_taxonomy():
    # Create a client
    client = dataplex_v1.DataTaxonomyServiceClient()

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

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

    # Handle the response
    print(response)

Parameters
Name	Description
`request`	`Union[google.cloud.dataplex_v1.types.GetDataTaxonomyRequest, dict]` The request object. Get DataTaxonomy request.
`name`	`str` Required. The resource name of the DataTaxonomy: projects/{project_number}/locations/{location_id}/dataTaxonomies/{data_taxonomy_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.Retry` Designation of what errors, if any, should be retried.
`timeout`	`float` The timeout for this request.
`metadata`	`Sequence[Tuple[str, str]]` Strings which should be sent along with the request as metadata.

Returns
Type	Description
`google.cloud.dataplex_v1.types.DataTaxonomy`	DataTaxonomy represents a set of hierarchical DataAttributes resources, grouped with a common theme Eg: 'SensitiveDataTaxonomy' can have attributes to manage PII data. It is defined at project level.

get_location

get_location(
    request: typing.Optional[
        google.cloud.location.locations_pb2.GetLocationRequest
    ] = None,
    *,
    retry: typing.Union[
        google.api_core.retry.Retry, 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.Retry` Designation of what errors, if any, should be retried.
`timeout`	`float` The timeout for this request.
`metadata`	`Sequence[Tuple[str, str]]` Strings which should be sent along with the request as metadata.

Returns
Type	Description
`.location_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.Union[
        google.api_core.retry.Retry, 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.Retry` Designation of what errors, if any, should be retried.
`timeout`	`float` The timeout for this request.
`metadata`	`Sequence[Tuple[str, str]]` Strings which should be sent along with the request as metadata.

Returns
Type	Description
`.operations_pb2.Operation`	An `Operation` object.

list_data_attribute_bindings

list_data_attribute_bindings(
    request: typing.Optional[
        typing.Union[
            google.cloud.dataplex_v1.types.data_taxonomy.ListDataAttributeBindingsRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    retry: typing.Union[
        google.api_core.retry.Retry, 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.data_taxonomy_service.pagers.ListDataAttributeBindingsPager
)

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

def sample_list_data_attribute_bindings():
    # Create a client
    client = dataplex_v1.DataTaxonomyServiceClient()

    # 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
    for response in page_result:
        print(response)

Parameters
Name	Description
`request`	`Union[google.cloud.dataplex_v1.types.ListDataAttributeBindingsRequest, dict]` The request object. List DataAttributeBindings request.
`parent`	`str` Required. The resource name of the Location: projects/{project_number}/locations/{location_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.Retry` Designation of what errors, if any, should be retried.
`timeout`	`float` The timeout for this request.
`metadata`	`Sequence[Tuple[str, str]]` Strings which should be sent along with the request as metadata.

Returns
Type	Description
`google.cloud.dataplex_v1.services.data_taxonomy_service.pagers.ListDataAttributeBindingsPager`	List DataAttributeBindings response. Iterating over this object will yield results and resolve additional pages automatically.

list_data_attributes

list_data_attributes(
    request: typing.Optional[
        typing.Union[
            google.cloud.dataplex_v1.types.data_taxonomy.ListDataAttributesRequest, dict
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    retry: typing.Union[
        google.api_core.retry.Retry, 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.data_taxonomy_service.pagers.ListDataAttributesPager
)

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

def sample_list_data_attributes():
    # Create a client
    client = dataplex_v1.DataTaxonomyServiceClient()

    # 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
    for response in page_result:
        print(response)

Parameters
Name	Description
`request`	`Union[google.cloud.dataplex_v1.types.ListDataAttributesRequest, dict]` The request object. List DataAttributes request.
`parent`	`str` Required. The resource name of the DataTaxonomy: projects/{project_number}/locations/{location_id}/dataTaxonomies/{data_taxonomy_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.Retry` Designation of what errors, if any, should be retried.
`timeout`	`float` The timeout for this request.
`metadata`	`Sequence[Tuple[str, str]]` Strings which should be sent along with the request as metadata.

Returns
Type	Description
`google.cloud.dataplex_v1.services.data_taxonomy_service.pagers.ListDataAttributesPager`	List DataAttributes response. Iterating over this object will yield results and resolve additional pages automatically.

list_data_taxonomies

list_data_taxonomies(
    request: typing.Optional[
        typing.Union[
            google.cloud.dataplex_v1.types.data_taxonomy.ListDataTaxonomiesRequest, dict
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    retry: typing.Union[
        google.api_core.retry.Retry, 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.data_taxonomy_service.pagers.ListDataTaxonomiesPager
)

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

def sample_list_data_taxonomies():
    # Create a client
    client = dataplex_v1.DataTaxonomyServiceClient()

    # 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
    for response in page_result:
        print(response)

Parameters
Name	Description
`request`	`Union[google.cloud.dataplex_v1.types.ListDataTaxonomiesRequest, dict]` The request object. List DataTaxonomies request.
`parent`	`str` Required. The resource name of the DataTaxonomy 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.Retry` Designation of what errors, if any, should be retried.
`timeout`	`float` The timeout for this request.
`metadata`	`Sequence[Tuple[str, str]]` Strings which should be sent along with the request as metadata.

Returns
Type	Description
`google.cloud.dataplex_v1.services.data_taxonomy_service.pagers.ListDataTaxonomiesPager`	List DataTaxonomies 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.Union[
        google.api_core.retry.Retry, 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.Retry` Designation of what errors, if any, should be retried.
`timeout`	`float` The timeout for this request.
`metadata`	`Sequence[Tuple[str, str]]` Strings which should be sent along with the request as metadata.

Returns
Type	Description
`.location_pb2.ListLocationsResponse`	Response message for `ListLocations` method.

list_operations

list_operations(
    request: typing.Optional[
        google.longrunning.operations_pb2.ListOperationsRequest
    ] = None,
    *,
    retry: typing.Union[
        google.api_core.retry.Retry, 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.Retry` Designation of what errors, if any, should be retried.
`timeout`	`float` The timeout for this request.
`metadata`	`Sequence[Tuple[str, str]]` Strings which should be sent along with the request as metadata.

Returns
Type	Description
`.operations_pb2.ListOperationsResponse`	Response message for `ListOperations` method.

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_data_attribute_binding_path

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

Parses a data_attribute_binding path into its component segments.

parse_data_attribute_path

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

Parses a data_attribute path into its component segments.

parse_data_taxonomy_path

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

Parses a data_taxonomy path into its component segments.

update_data_attribute

update_data_attribute(
    request: typing.Optional[
        typing.Union[
            google.cloud.dataplex_v1.types.data_taxonomy.UpdateDataAttributeRequest,
            dict,
        ]
    ] = None,
    *,
    data_attribute: typing.Optional[
        google.cloud.dataplex_v1.types.data_taxonomy.DataAttribute
    ] = None,
    update_mask: typing.Optional[google.protobuf.field_mask_pb2.FieldMask] = None,
    retry: typing.Union[
        google.api_core.retry.Retry, 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.Operation

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

def sample_update_data_attribute():
    # Create a client
    client = dataplex_v1.DataTaxonomyServiceClient()

    # 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 = operation.result()

    # Handle the response
    print(response)

Parameters
Name	Description
`request`	`Union[google.cloud.dataplex_v1.types.UpdateDataAttributeRequest, dict]` The request object. Update DataAttribute request.
`data_attribute`	`google.cloud.dataplex_v1.types.DataAttribute` Required. Only fields specified in `update_mask` are updated. This corresponds to the `data_attribute` 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.Retry` Designation of what errors, if any, should be retried.
`timeout`	`float` The timeout for this request.
`metadata`	`Sequence[Tuple[str, str]]` Strings which should be sent along with the request as metadata.

Returns

Type Description

update_data_attribute_binding

update_data_attribute_binding(
    request: typing.Optional[
        typing.Union[
            google.cloud.dataplex_v1.types.data_taxonomy.UpdateDataAttributeBindingRequest,
            dict,
        ]
    ] = None,
    *,
    data_attribute_binding: typing.Optional[
        google.cloud.dataplex_v1.types.data_taxonomy.DataAttributeBinding
    ] = None,
    update_mask: typing.Optional[google.protobuf.field_mask_pb2.FieldMask] = None,
    retry: typing.Union[
        google.api_core.retry.Retry, 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.Operation

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

def sample_update_data_attribute_binding():
    # Create a client
    client = dataplex_v1.DataTaxonomyServiceClient()

    # 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 = operation.result()

    # Handle the response
    print(response)

Parameters
Name	Description
`request`	`Union[google.cloud.dataplex_v1.types.UpdateDataAttributeBindingRequest, dict]` The request object. Update DataAttributeBinding request.
`data_attribute_binding`	`google.cloud.dataplex_v1.types.DataAttributeBinding` Required. Only fields specified in `update_mask` are updated. This corresponds to the `data_attribute_binding` 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.Retry` Designation of what errors, if any, should be retried.
`timeout`	`float` The timeout for this request.
`metadata`	`Sequence[Tuple[str, str]]` Strings which should be sent along with the request as metadata.

Returns
Type	Description
`google.api_core.operation.Operation`	An object representing a long-running operation. The result type for the operation will be DataAttributeBinding DataAttributeBinding represents binding of attributes to resources. Eg: Bind 'CustomerInfo' entity with 'PII' attribute.

update_data_taxonomy

update_data_taxonomy(
    request: typing.Optional[
        typing.Union[
            google.cloud.dataplex_v1.types.data_taxonomy.UpdateDataTaxonomyRequest, dict
        ]
    ] = None,
    *,
    data_taxonomy: typing.Optional[
        google.cloud.dataplex_v1.types.data_taxonomy.DataTaxonomy
    ] = None,
    update_mask: typing.Optional[google.protobuf.field_mask_pb2.FieldMask] = None,
    retry: typing.Union[
        google.api_core.retry.Retry, 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.Operation

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

def sample_update_data_taxonomy():
    # Create a client
    client = dataplex_v1.DataTaxonomyServiceClient()

    # 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 = operation.result()

    # Handle the response
    print(response)

Parameters
Name	Description
`request`	`Union[google.cloud.dataplex_v1.types.UpdateDataTaxonomyRequest, dict]` The request object. Update DataTaxonomy request.
`data_taxonomy`	`google.cloud.dataplex_v1.types.DataTaxonomy` Required. Only fields specified in `update_mask` are updated. This corresponds to the `data_taxonomy` 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.Retry` Designation of what errors, if any, should be retried.
`timeout`	`float` The timeout for this request.
`metadata`	`Sequence[Tuple[str, str]]` Strings which should be sent along with the request as metadata.

Returns
Type	Description
`google.api_core.operation.Operation`	An object representing a long-running operation. The result type for the operation will be DataTaxonomy DataTaxonomy represents a set of hierarchical DataAttributes resources, grouped with a common theme Eg: 'SensitiveDataTaxonomy' can have attributes to manage PII data. It is defined at project level.