Class DataCatalogClient (3.22.0)

Version 3.22.0

• 3.23.0 (latest)
• 3.22.0
• 3.21.1
• 3.20.1
• 3.19.1
• 3.18.3
• 3.17.2
• 3.16.0
• 3.15.1
• 3.14.0
• 3.13.1
• 3.12.0
• 3.11.1
• 3.10.0
• 3.9.3
• 3.8.1
• 3.7.1
• 3.6.2
• 3.5.0
• 3.4.3
• 3.3.2
• 3.2.1
• 3.1.1
• 3.0.0
• 2.0.2
• 1.0.2
• 0.8.2
• 0.7.0
• 0.6.0
• 0.5.0
• 0.4.0
• 0.3.0

DataCatalogClient(*, credentials: typing.Optional[google.auth.credentials.Credentials] = None, transport: typing.Optional[typing.Union[str, google.cloud.datacatalog_v1.services.data_catalog.transports.base.DataCatalogTransport, typing.Callable[[...], google.cloud.datacatalog_v1.services.data_catalog.transports.base.DataCatalogTransport]]] = 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>)

Data Catalog API service allows you to discover, understand, and manage your data.

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
DataCatalogTransport	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

DataCatalogClient

DataCatalogClient(*, credentials: typing.Optional[google.auth.credentials.Credentials] = None, transport: typing.Optional[typing.Union[str, google.cloud.datacatalog_v1.services.data_catalog.transports.base.DataCatalogTransport, typing.Callable[[...], google.cloud.datacatalog_v1.services.data_catalog.transports.base.DataCatalogTransport]]] = 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 catalog 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,DataCatalogTransport,Callable[..., DataCatalogTransport]]] The transport to use, or a Callable that constructs and returns a new transport. If a Callable is given, it will be called with the same set of initialization arguments as used in the DataCatalogTransport 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 the 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.

__exit__

__exit__(type, value, traceback)

Releases underlying transport's resources.

Warning: ONLY use as a context manager if the transport is NOT shared with other clients! Exiting the with block will CLOSE the transport and may cause errors in other clients!

cancel_operation

cancel_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.CancelOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.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_entry

create_entry(
    request: typing.Optional[
        typing.Union[
            google.cloud.datacatalog_v1.types.datacatalog.CreateEntryRequest, dict
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    entry_id: typing.Optional[str] = None,
    entry: typing.Optional[google.cloud.datacatalog_v1.types.datacatalog.Entry] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.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.datacatalog_v1.types.datacatalog.Entry

Creates an entry.

You can create entries only with 'FILESET', 'CLUSTER', 'DATA_STREAM', or custom types. Data Catalog automatically creates entries with other types during metadata ingestion from integrated systems.

You must enable the Data Catalog API in the project identified by the parent parameter. For more information, see Data Catalog resource project <https://cloud.google.com/data-catalog/docs/concepts/resource-project>__.

An entry group can have a maximum of 100,000 entries.

# 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 datacatalog_v1

def sample_create_entry():
    # Create a client
    client = datacatalog_v1.DataCatalogClient()

    # Initialize request argument(s)
    entry = datacatalog_v1.Entry()
    entry.type_ = "FEATURE_GROUP"
    entry.integrated_system = "VERTEX_AI"
    entry.gcs_fileset_spec.file_patterns = ['file_patterns_value1', 'file_patterns_value2']

    request = datacatalog_v1.CreateEntryRequest(
        parent="parent_value",
        entry_id="entry_id_value",
        entry=entry,
    )

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

    # Handle the response
    print(response)

Parameters
Name	Description
request	Union[google.cloud.datacatalog_v1.types.CreateEntryRequest, dict] The request object. Request message for CreateEntry.
parent	str Required. The name of the entry group this entry belongs to. Note: The entry itself and its child resources might not be stored in the location specified in its name. This corresponds to the parent field on the request instance; if request is provided, this should not be set.
entry_id	str Required. The ID of the entry to create. The ID must contain only letters (a-z, A-Z), numbers (0-9), and underscores (_). The maximum size is 64 bytes when encoded in UTF-8. This corresponds to the entry_id field on the request instance; if request is provided, this should not be set.
entry	google.cloud.datacatalog_v1.types.Entry Required. The entry to create. This corresponds to the entry 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.datacatalog_v1.types.Entry	Entry metadata. A Data Catalog entry represents another resource in Google Cloud Platform (such as a BigQuery dataset or a Pub/Sub topic) or outside of it. You can use the linked_resource field in the entry resource to refer to the original resource ID of the source system. An entry resource contains resource details, for example, its schema. Additionally, you can attach flexible metadata to an entry in the form of a Tag.

create_entry_group

create_entry_group(
    request: typing.Optional[
        typing.Union[
            google.cloud.datacatalog_v1.types.datacatalog.CreateEntryGroupRequest, dict
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    entry_group_id: typing.Optional[str] = None,
    entry_group: typing.Optional[
        google.cloud.datacatalog_v1.types.datacatalog.EntryGroup
    ] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.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.datacatalog_v1.types.datacatalog.EntryGroup

Creates an entry group.

An entry group contains logically related entries together with Cloud Identity and Access Management </data-catalog/docs/concepts/iam>__ policies. These policies specify users who can create, edit, and view entries within entry groups.

Data Catalog automatically creates entry groups with names that start with the @ symbol for the following resources:

• BigQuery entries (@bigquery)
• Pub/Sub topics (@pubsub)
• Dataproc Metastore services (@dataproc_metastore_{SERVICE_NAME_HASH})

You can create your own entry groups for Cloud Storage fileset entries and custom entries together with the corresponding IAM policies. User-created entry groups can't contain the @ symbol, it is reserved for automatically created groups.

Entry groups, like entries, can be searched.

A maximum of 10,000 entry groups may be created per organization across all locations.

You must enable the Data Catalog API in the project identified by the parent parameter. For more information, see Data Catalog resource project <https://cloud.google.com/data-catalog/docs/concepts/resource-project>__.

# 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 datacatalog_v1

def sample_create_entry_group():
    # Create a client
    client = datacatalog_v1.DataCatalogClient()

    # Initialize request argument(s)
    request = datacatalog_v1.CreateEntryGroupRequest(
        parent="parent_value",
        entry_group_id="entry_group_id_value",
    )

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

    # Handle the response
    print(response)

Parameters
Name	Description
request	Union[google.cloud.datacatalog_v1.types.CreateEntryGroupRequest, dict] The request object. Request message for CreateEntryGroup.
parent	str Required. The names of the project and location that the new entry group belongs to. Note: The entry group itself and its child resources might not be stored in the location specified in its name. This corresponds to the parent field on the request instance; if request is provided, this should not be set.
entry_group_id	str Required. The ID of the entry group to create. The ID must contain only letters (a-z, A-Z), numbers (0-9), underscores (_), and must start with a letter or underscore. The maximum size is 64 bytes when encoded in UTF-8. This corresponds to the entry_group_id field on the request instance; if request is provided, this should not be set.
entry_group	google.cloud.datacatalog_v1.types.EntryGroup The entry group to create. Defaults to empty. This corresponds to the entry_group 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.datacatalog_v1.types.EntryGroup	Entry group metadata. An EntryGroup resource represents a logical grouping of zero or more Data Catalog Entry resources.

create_tag

create_tag(
    request: typing.Optional[
        typing.Union[
            google.cloud.datacatalog_v1.types.datacatalog.CreateTagRequest, dict
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    tag: typing.Optional[google.cloud.datacatalog_v1.types.tags.Tag] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.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.datacatalog_v1.types.tags.Tag

Creates a tag and assigns it to:

• An xref_Entry if the method name is projects.locations.entryGroups.entries.tags.create.
• Or xref_EntryGroupif the method name is projects.locations.entryGroups.tags.create.

Note: The project identified by the parent parameter for the tag and the tag template used to create the tag must be in the same organization.

# 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 datacatalog_v1

def sample_create_tag():
    # Create a client
    client = datacatalog_v1.DataCatalogClient()

    # Initialize request argument(s)
    tag = datacatalog_v1.Tag()
    tag.column = "column_value"
    tag.template = "template_value"

    request = datacatalog_v1.CreateTagRequest(
        parent="parent_value",
        tag=tag,
    )

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

    # Handle the response
    print(response)

Parameters
Name	Description
request	Union[google.cloud.datacatalog_v1.types.CreateTagRequest, dict] The request object. Request message for CreateTag.
parent	str Required. The name of the resource to attach this tag to. Tags can be attached to entries or entry groups. An entry can have up to 1000 attached tags. Note: The tag and its child resources might not be stored in the location specified in its name. This corresponds to the parent field on the request instance; if request is provided, this should not be set.
tag	google.cloud.datacatalog_v1.types.Tag Required. The tag to create. This corresponds to the tag 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.datacatalog_v1.types.Tag	Tags contain custom metadata and are attached to Data Catalog resources. Tags conform with the specification of their tag template. See [Data Catalog IAM](\ https://cloud.google.com/data-catalog/docs/concepts/iam) for information on the permissions needed to create or view tags.

create_tag_template

create_tag_template(
    request: typing.Optional[
        typing.Union[
            google.cloud.datacatalog_v1.types.datacatalog.CreateTagTemplateRequest, dict
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    tag_template_id: typing.Optional[str] = None,
    tag_template: typing.Optional[
        google.cloud.datacatalog_v1.types.tags.TagTemplate
    ] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.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.datacatalog_v1.types.tags.TagTemplate

Creates a tag template.

You must enable the Data Catalog API in the project identified by the parent parameter. For more information, see Data Catalog resource project.

# 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 datacatalog_v1

def sample_create_tag_template():
    # Create a client
    client = datacatalog_v1.DataCatalogClient()

    # Initialize request argument(s)
    request = datacatalog_v1.CreateTagTemplateRequest(
        parent="parent_value",
        tag_template_id="tag_template_id_value",
    )

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

    # Handle the response
    print(response)

Parameters
Name	Description
request	Union[google.cloud.datacatalog_v1.types.CreateTagTemplateRequest, dict] The request object. Request message for CreateTagTemplate.
parent	str Required. The name of the project and the template location region https://cloud.google.com/data-catalog/docs/concepts/regions__. This corresponds to the parent field on the request instance; if request is provided, this should not be set.
tag_template_id	str Required. The ID of the tag template to create. The ID must contain only lowercase letters (a-z), numbers (0-9), or underscores (_), and must start with a letter or underscore. The maximum size is 64 bytes when encoded in UTF-8. This corresponds to the tag_template_id field on the request instance; if request is provided, this should not be set.
tag_template	google.cloud.datacatalog_v1.types.TagTemplate Required. The tag template to create. This corresponds to the tag_template 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.datacatalog_v1.types.TagTemplate	A tag template defines a tag that can have one or more typed fields. The template is used to create tags that are attached to Google Cloud resources. [Tag template roles] (https://cloud.google.com/iam/docs/understanding-roles#data-catalog-roles) provide permissions to create, edit, and use the template. For example, see the [TagTemplate User] (https://cloud.google.com/data-catalog/docs/how-to/template-user) role that includes a permission to use the tag template to tag resources.

create_tag_template_field

create_tag_template_field(
    request: typing.Optional[
        typing.Union[
            google.cloud.datacatalog_v1.types.datacatalog.CreateTagTemplateFieldRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    tag_template_field_id: typing.Optional[str] = None,
    tag_template_field: typing.Optional[
        google.cloud.datacatalog_v1.types.tags.TagTemplateField
    ] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.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.datacatalog_v1.types.tags.TagTemplateField

Creates a field in a tag template.

You must enable the Data Catalog API in the project identified by the parent parameter. For more information, see Data Catalog resource project <https://cloud.google.com/data-catalog/docs/concepts/resource-project>__.

# 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 datacatalog_v1

def sample_create_tag_template_field():
    # Create a client
    client = datacatalog_v1.DataCatalogClient()

    # Initialize request argument(s)
    tag_template_field = datacatalog_v1.TagTemplateField()
    tag_template_field.type_.primitive_type = "RICHTEXT"

    request = datacatalog_v1.CreateTagTemplateFieldRequest(
        parent="parent_value",
        tag_template_field_id="tag_template_field_id_value",
        tag_template_field=tag_template_field,
    )

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

    # Handle the response
    print(response)

Parameters
Name	Description
request	Union[google.cloud.datacatalog_v1.types.CreateTagTemplateFieldRequest, dict] The request object. Request message for CreateTagTemplateField.
parent	str Required. The name of the project and the template location region https://cloud.google.com/data-catalog/docs/concepts/regions__. This corresponds to the parent field on the request instance; if request is provided, this should not be set.
tag_template_field_id	str Required. The ID of the tag template field to create. Note: Adding a required field to an existing template is not allowed. Field IDs can contain letters (both uppercase and lowercase), numbers (0-9), underscores (_) and dashes (-). Field IDs must be at least 1 character long and at most 128 characters long. Field IDs must also be unique within their template. This corresponds to the tag_template_field_id field on the request instance; if request is provided, this should not be set.
tag_template_field	google.cloud.datacatalog_v1.types.TagTemplateField Required. The tag template field to create. This corresponds to the tag_template_field 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.datacatalog_v1.types.TagTemplateField	The template for an individual field within a tag template.

delete_entry

delete_entry(
    request: typing.Optional[
        typing.Union[
            google.cloud.datacatalog_v1.types.datacatalog.DeleteEntryRequest, dict
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.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 an existing entry.

You can delete only the entries created by the xref_CreateEntry method.

You must enable the Data Catalog API in the project identified by the name parameter. For more information, see Data Catalog resource project <https://cloud.google.com/data-catalog/docs/concepts/resource-project>__.

# 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 datacatalog_v1

def sample_delete_entry():
    # Create a client
    client = datacatalog_v1.DataCatalogClient()

    # Initialize request argument(s)
    request = datacatalog_v1.DeleteEntryRequest(
        name="name_value",
    )

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

Parameters
Name	Description
request	Union[google.cloud.datacatalog_v1.types.DeleteEntryRequest, dict] The request object. Request message for DeleteEntry.
name	str Required. The name of the entry to delete. 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.

delete_entry_group

delete_entry_group(
    request: typing.Optional[
        typing.Union[
            google.cloud.datacatalog_v1.types.datacatalog.DeleteEntryGroupRequest, dict
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.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 an entry group.

You must enable the Data Catalog API in the project identified by the name parameter. For more information, see Data Catalog resource project <https://cloud.google.com/data-catalog/docs/concepts/resource-project>__.

# 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 datacatalog_v1

def sample_delete_entry_group():
    # Create a client
    client = datacatalog_v1.DataCatalogClient()

    # Initialize request argument(s)
    request = datacatalog_v1.DeleteEntryGroupRequest(
        name="name_value",
    )

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

Parameters
Name	Description
request	Union[google.cloud.datacatalog_v1.types.DeleteEntryGroupRequest, dict] The request object. Request message for DeleteEntryGroup.
name	str Required. The name of the entry group to delete. 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.

delete_operation

delete_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.DeleteOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.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.

delete_tag

delete_tag(
    request: typing.Optional[
        typing.Union[
            google.cloud.datacatalog_v1.types.datacatalog.DeleteTagRequest, dict
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.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 tag.

# 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 datacatalog_v1

def sample_delete_tag():
    # Create a client
    client = datacatalog_v1.DataCatalogClient()

    # Initialize request argument(s)
    request = datacatalog_v1.DeleteTagRequest(
        name="name_value",
    )

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

Parameters
Name	Description
request	Union[google.cloud.datacatalog_v1.types.DeleteTagRequest, dict] The request object. Request message for DeleteTag.
name	str Required. The name of the tag to delete. 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.

delete_tag_template

delete_tag_template(
    request: typing.Optional[
        typing.Union[
            google.cloud.datacatalog_v1.types.datacatalog.DeleteTagTemplateRequest, dict
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    force: typing.Optional[bool] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.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 tag template and all tags that use it.

You must enable the Data Catalog API in the project identified by the name parameter. For more information, see Data Catalog resource project <https://cloud.google.com/data-catalog/docs/concepts/resource-project>__.

# 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 datacatalog_v1

def sample_delete_tag_template():
    # Create a client
    client = datacatalog_v1.DataCatalogClient()

    # Initialize request argument(s)
    request = datacatalog_v1.DeleteTagTemplateRequest(
        name="name_value",
        force=True,
    )

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

Parameters
Name	Description
request	Union[google.cloud.datacatalog_v1.types.DeleteTagTemplateRequest, dict] The request object. Request message for DeleteTagTemplate.
name	str Required. The name of the tag template to delete. This corresponds to the name field on the request instance; if request is provided, this should not be set.
force	bool Required. If true, deletes all tags that use this template. Currently, true is the only supported value. This corresponds to the force 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.

delete_tag_template_field

delete_tag_template_field(
    request: typing.Optional[
        typing.Union[
            google.cloud.datacatalog_v1.types.datacatalog.DeleteTagTemplateFieldRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    force: typing.Optional[bool] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.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 field in a tag template and all uses of this field from the tags based on this template.

You must enable the Data Catalog API in the project identified by the name parameter. For more information, see Data Catalog resource project <https://cloud.google.com/data-catalog/docs/concepts/resource-project>__.

# 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 datacatalog_v1

def sample_delete_tag_template_field():
    # Create a client
    client = datacatalog_v1.DataCatalogClient()

    # Initialize request argument(s)
    request = datacatalog_v1.DeleteTagTemplateFieldRequest(
        name="name_value",
        force=True,
    )

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

Parameters
Name	Description
request	Union[google.cloud.datacatalog_v1.types.DeleteTagTemplateFieldRequest, dict] The request object. Request message for DeleteTagTemplateField.
name	str Required. The name of the tag template field to delete. This corresponds to the name field on the request instance; if request is provided, this should not be set.
force	bool Required. If true, deletes this field from any tags that use it. Currently, true is the only supported value. This corresponds to the force 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.

entry_group_path

entry_group_path(project: str, location: str, entry_group: str) -> str

Returns a fully-qualified entry_group string.

entry_path

entry_path(project: str, location: str, entry_group: str, entry: str) -> str

Returns a fully-qualified entry 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
DataCatalogClient	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
DataCatalogClient	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
DataCatalogClient	The constructed client.

get_entry

get_entry(
    request: typing.Optional[
        typing.Union[
            google.cloud.datacatalog_v1.types.datacatalog.GetEntryRequest, dict
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.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.datacatalog_v1.types.datacatalog.Entry

Gets an entry.

# 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 datacatalog_v1

def sample_get_entry():
    # Create a client
    client = datacatalog_v1.DataCatalogClient()

    # Initialize request argument(s)
    request = datacatalog_v1.GetEntryRequest(
        name="name_value",
    )

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

    # Handle the response
    print(response)

Parameters
Name	Description
request	Union[google.cloud.datacatalog_v1.types.GetEntryRequest, dict] The request object. Request message for GetEntry.
name	str Required. The name of the entry to get. 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.datacatalog_v1.types.Entry	Entry metadata. A Data Catalog entry represents another resource in Google Cloud Platform (such as a BigQuery dataset or a Pub/Sub topic) or outside of it. You can use the linked_resource field in the entry resource to refer to the original resource ID of the source system. An entry resource contains resource details, for example, its schema. Additionally, you can attach flexible metadata to an entry in the form of a Tag.

get_entry_group

get_entry_group(
    request: typing.Optional[
        typing.Union[
            google.cloud.datacatalog_v1.types.datacatalog.GetEntryGroupRequest, dict
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    read_mask: typing.Optional[google.protobuf.field_mask_pb2.FieldMask] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.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.datacatalog_v1.types.datacatalog.EntryGroup

Gets an entry group.

# 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 datacatalog_v1

def sample_get_entry_group():
    # Create a client
    client = datacatalog_v1.DataCatalogClient()

    # Initialize request argument(s)
    request = datacatalog_v1.GetEntryGroupRequest(
        name="name_value",
    )

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

    # Handle the response
    print(response)

Parameters
Name	Description
request	Union[google.cloud.datacatalog_v1.types.GetEntryGroupRequest, dict] The request object. Request message for GetEntryGroup.
name	str Required. The name of the entry group to get. This corresponds to the name field on the request instance; if request is provided, this should not be set.
read_mask	google.protobuf.field_mask_pb2.FieldMask The fields to return. If empty or omitted, all fields are returned. This corresponds to the read_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.cloud.datacatalog_v1.types.EntryGroup	Entry group metadata. An EntryGroup resource represents a logical grouping of zero or more Data Catalog Entry resources.

get_iam_policy

get_iam_policy(
    request: typing.Optional[
        typing.Union[google.iam.v1.iam_policy_pb2.GetIamPolicyRequest, dict]
    ] = None,
    *,
    resource: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.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.iam.v1.policy_pb2.Policy

Gets the access control policy for a resource.

May return:

• A\ NOT_FOUND error if the resource doesn't exist or you don't have the permission to view it.
• An empty policy if the resource exists but doesn't have a set policy.

Supported resources are:

• Tag templates
• Entry groups

Note: This method doesn't get policies from Google Cloud Platform resources ingested into Data Catalog.

To call this method, you must have the following Google IAM permissions:

• datacatalog.tagTemplates.getIamPolicy to get policies on tag templates.
• datacatalog.entryGroups.getIamPolicy to get policies on entry groups.

# 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 datacatalog_v1
from google.iam.v1 import iam_policy_pb2  # type: ignore

def sample_get_iam_policy():
    # Create a client
    client = datacatalog_v1.DataCatalogClient()

    # Initialize request argument(s)
    request = iam_policy_pb2.GetIamPolicyRequest(
        resource="resource_value",
    )

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

    # Handle the response
    print(response)

Parameters
Name	Description
request	Union[google.iam.v1.iam_policy_pb2.GetIamPolicyRequest, dict] The request object. Request message for GetIamPolicy method.
resource	str REQUIRED: The resource for which the policy is being requested. See the operation documentation for the appropriate value for this field. This corresponds to the resource 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.iam.v1.policy_pb2.Policy	An Identity and Access Management (IAM) policy, which specifies access controls for Google Cloud resources. A Policy is a collection of bindings. A binding binds one or more members, or principals, to a single role. Principals can be user accounts, service accounts, Google groups, and domains (such as G Suite). A role is a named list of permissions; each role can be an IAM predefined role or a user-created custom role. For some types of Google Cloud resources, a binding can also specify a condition, which is a logical expression that allows access to a resource only if the expression evaluates to true. A condition can add constraints based on attributes of the request, the resource, or both. To learn which resources support conditions in their IAM policies, see the [IAM documentation](\ https://cloud.google.com/iam/help/conditions/resource-policies). **JSON example:** :literal:\ { "bindings": [ { "role": "roles/resourcemanager.organizationAdmin", "members": [ "user:[e-mail]", "group:[e-mail]", "domain:google.com", "serviceAccount:[e-mail]" ] }, { "role": "roles/resourcemanager.organizationViewer", "members": [ "user:[e-mail]" ], "condition": { "title": "expirable access", "description": "Does not grant access after Sep 2020", "expression": "request.time < timestamp('2020-10-01t00:00:00.000z')",="" }="" }="" ],="" "etag":="" "bwwwja0yfja=", " version":="" 3="">\ \ **YAML example:** :literal:\ bindings: - members: - user:[e-mail] - group:[e-mail] - domain:google.com - serviceAccount:[e-mail] role: roles/resourcemanager.organizationAdmin - members: - user:[e-mail] role: roles/resourcemanager.organizationViewer condition: title: expirable access description: Does not grant access after Sep 2020 expression: request.time < timestamp('2020-10-01t00:00:00.000z')="" etag:="" bwwwja0yfja="version:">\ \ For a description of IAM and its features, see the [IAM documentation](\ https://cloud.google.com/iam/docs/).

get_mtls_endpoint_and_cert_source

get_mtls_endpoint_and_cert_source(
    client_options: typing.Optional[
        google.api_core.client_options.ClientOptions
    ] = None,
)

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

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

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

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

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.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.

get_tag_template

get_tag_template(
    request: typing.Optional[
        typing.Union[
            google.cloud.datacatalog_v1.types.datacatalog.GetTagTemplateRequest, dict
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.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.datacatalog_v1.types.tags.TagTemplate

Gets a tag template.

# 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 datacatalog_v1

def sample_get_tag_template():
    # Create a client
    client = datacatalog_v1.DataCatalogClient()

    # Initialize request argument(s)
    request = datacatalog_v1.GetTagTemplateRequest(
        name="name_value",
    )

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

    # Handle the response
    print(response)

Parameters
Name	Description
request	Union[google.cloud.datacatalog_v1.types.GetTagTemplateRequest, dict] The request object. Request message for GetTagTemplate.
name	str Required. The name of the tag template to get. 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.datacatalog_v1.types.TagTemplate	A tag template defines a tag that can have one or more typed fields. The template is used to create tags that are attached to Google Cloud resources. [Tag template roles] (https://cloud.google.com/iam/docs/understanding-roles#data-catalog-roles) provide permissions to create, edit, and use the template. For example, see the [TagTemplate User] (https://cloud.google.com/data-catalog/docs/how-to/template-user) role that includes a permission to use the tag template to tag resources.

import_entries

import_entries(
    request: typing.Optional[
        typing.Union[
            google.cloud.datacatalog_v1.types.datacatalog.ImportEntriesRequest, dict
        ]
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.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

Imports entries from a source, such as data previously dumped into a Cloud Storage bucket, into Data Catalog. Import of entries is a sync operation that reconciles the state of the third-party system with the Data Catalog.

ImportEntries accepts source data snapshots of a third-party system. Snapshot should be delivered as a .wire or base65-encoded .txt file containing a sequence of Protocol Buffer messages of xref_DumpItem type.

ImportEntries returns a [long-running operation] [google.longrunning.Operation] resource that can be queried with Operations.GetOperation][google.longrunning.Operations.GetOperation] to return xref_ImportEntriesMetadata and an xref_ImportEntriesResponse message.

# 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 datacatalog_v1

def sample_import_entries():
    # Create a client
    client = datacatalog_v1.DataCatalogClient()

    # Initialize request argument(s)
    request = datacatalog_v1.ImportEntriesRequest(
        gcs_bucket_path="gcs_bucket_path_value",
        parent="parent_value",
    )

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

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

    response = operation.result()

    # Handle the response
    print(response)

Parameters
Name	Description
request	Union[google.cloud.datacatalog_v1.types.ImportEntriesRequest, dict] The request object. Request message for ImportEntries 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
google.api_core.operation.Operation	An object representing a long-running operation. The result type for the operation will be ImportEntriesResponse Response message for long-running operation][google.longrunning.Operation] returned by the ImportEntries.

list_entries

list_entries(
    request: typing.Optional[
        typing.Union[
            google.cloud.datacatalog_v1.types.datacatalog.ListEntriesRequest, dict
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.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.datacatalog_v1.services.data_catalog.pagers.ListEntriesPager

Lists entries.

Note: Currently, this method can list only custom entries. To get a list of both custom and automatically created entries, use xref_SearchCatalog.

# 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 datacatalog_v1

def sample_list_entries():
    # Create a client
    client = datacatalog_v1.DataCatalogClient()

    # Initialize request argument(s)
    request = datacatalog_v1.ListEntriesRequest(
        parent="parent_value",
    )

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

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

Parameters
Name	Description
request	Union[google.cloud.datacatalog_v1.types.ListEntriesRequest, dict] The request object. Request message for ListEntries.
parent	str Required. The name of the entry group that contains the entries to list. Can be provided in URL format. 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.datacatalog_v1.services.data_catalog.pagers.ListEntriesPager	Response message for ListEntries. Iterating over this object will yield results and resolve additional pages automatically.

list_entry_groups

list_entry_groups(
    request: typing.Optional[
        typing.Union[
            google.cloud.datacatalog_v1.types.datacatalog.ListEntryGroupsRequest, dict
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.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.datacatalog_v1.services.data_catalog.pagers.ListEntryGroupsPager

Lists entry groups.

# 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 datacatalog_v1

def sample_list_entry_groups():
    # Create a client
    client = datacatalog_v1.DataCatalogClient()

    # Initialize request argument(s)
    request = datacatalog_v1.ListEntryGroupsRequest(
        parent="parent_value",
    )

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

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

Parameters
Name	Description
request	Union[google.cloud.datacatalog_v1.types.ListEntryGroupsRequest, dict] The request object. Request message for ListEntryGroups.
parent	str Required. The name of the location that contains the entry groups to list. Can be provided as a URL. 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.datacatalog_v1.services.data_catalog.pagers.ListEntryGroupsPager	Response message for ListEntryGroups. Iterating over this object will yield results and resolve additional pages automatically.

list_operations

list_operations(
    request: typing.Optional[
        google.longrunning.operations_pb2.ListOperationsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.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.

list_tags

list_tags(
    request: typing.Optional[
        typing.Union[
            google.cloud.datacatalog_v1.types.datacatalog.ListTagsRequest, dict
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.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.datacatalog_v1.services.data_catalog.pagers.ListTagsPager

Lists tags assigned to an xref_Entry. The xref_columns in the response are lowercased.

# 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 datacatalog_v1

def sample_list_tags():
    # Create a client
    client = datacatalog_v1.DataCatalogClient()

    # Initialize request argument(s)
    request = datacatalog_v1.ListTagsRequest(
        parent="parent_value",
    )

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

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

Parameters
Name	Description
request	Union[google.cloud.datacatalog_v1.types.ListTagsRequest, dict] The request object. Request message for ListTags.
parent	str Required. The name of the Data Catalog resource to list the tags of. The resource can be an Entry or an EntryGroup (without /entries/{entries} at the end). 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.datacatalog_v1.services.data_catalog.pagers.ListTagsPager	Response message for ListTags. Iterating over this object will yield results and resolve additional pages automatically.

lookup_entry

lookup_entry(
    request: typing.Optional[
        typing.Union[
            google.cloud.datacatalog_v1.types.datacatalog.LookupEntryRequest, dict
        ]
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.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.datacatalog_v1.types.datacatalog.Entry

Gets an entry by its target resource name.

The resource name comes from the source Google Cloud Platform service.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import datacatalog_v1

def sample_lookup_entry():
    # Create a client
    client = datacatalog_v1.DataCatalogClient()

    # Initialize request argument(s)
    request = datacatalog_v1.LookupEntryRequest(
        linked_resource="linked_resource_value",
    )

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

    # Handle the response
    print(response)

Parameters
Name	Description
request	Union[google.cloud.datacatalog_v1.types.LookupEntryRequest, dict] The request object. Request message for LookupEntry.
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.datacatalog_v1.types.Entry	Entry metadata. A Data Catalog entry represents another resource in Google Cloud Platform (such as a BigQuery dataset or a Pub/Sub topic) or outside of it. You can use the linked_resource field in the entry resource to refer to the original resource ID of the source system. An entry resource contains resource details, for example, its schema. Additionally, you can attach flexible metadata to an entry in the form of a Tag.

modify_entry_contacts

modify_entry_contacts(
    request: typing.Optional[
        typing.Union[
            google.cloud.datacatalog_v1.types.datacatalog.ModifyEntryContactsRequest,
            dict,
        ]
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.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.datacatalog_v1.types.datacatalog.Contacts

Modifies contacts, part of the business context of an xref_Entry.

To call this method, you must have the datacatalog.entries.updateContacts IAM permission on the corresponding project.

# 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 datacatalog_v1

def sample_modify_entry_contacts():
    # Create a client
    client = datacatalog_v1.DataCatalogClient()

    # Initialize request argument(s)
    request = datacatalog_v1.ModifyEntryContactsRequest(
        name="name_value",
    )

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

    # Handle the response
    print(response)

Parameters
Name	Description
request	Union[google.cloud.datacatalog_v1.types.ModifyEntryContactsRequest, dict] The request object. Request message for ModifyEntryContacts.
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.datacatalog_v1.types.Contacts	Contact people for the entry.

modify_entry_overview

modify_entry_overview(
    request: typing.Optional[
        typing.Union[
            google.cloud.datacatalog_v1.types.datacatalog.ModifyEntryOverviewRequest,
            dict,
        ]
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.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.datacatalog_v1.types.datacatalog.EntryOverview

Modifies entry overview, part of the business context of an xref_Entry.

To call this method, you must have the datacatalog.entries.updateOverview IAM permission on the corresponding project.

# 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 datacatalog_v1

def sample_modify_entry_overview():
    # Create a client
    client = datacatalog_v1.DataCatalogClient()

    # Initialize request argument(s)
    request = datacatalog_v1.ModifyEntryOverviewRequest(
        name="name_value",
    )

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

    # Handle the response
    print(response)

Parameters
Name	Description
request	Union[google.cloud.datacatalog_v1.types.ModifyEntryOverviewRequest, dict] The request object. Request message for ModifyEntryOverview.
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.datacatalog_v1.types.EntryOverview	Entry overview fields for rich text descriptions of entries.

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_entry_group_path

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

Parses a entry_group path into its component segments.

parse_entry_path

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

Parses a entry path into its component segments.

parse_tag_path

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

Parses a tag path into its component segments.

parse_tag_template_field_enum_value_path

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

Parses a tag_template_field_enum_value path into its component segments.

parse_tag_template_field_path

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

Parses a tag_template_field path into its component segments.

parse_tag_template_path

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

Parses a tag_template path into its component segments.

reconcile_tags

reconcile_tags(
    request: typing.Optional[
        typing.Union[
            google.cloud.datacatalog_v1.types.datacatalog.ReconcileTagsRequest, dict
        ]
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.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

ReconcileTags creates or updates a list of tags on the entry. If the xref_ReconcileTagsRequest.force_delete_missing parameter is set, the operation deletes tags not included in the input tag list.

ReconcileTags returns a [long-running operation] [google.longrunning.Operation] resource that can be queried with Operations.GetOperation][google.longrunning.Operations.GetOperation] to return [ReconcileTagsMetadata] [google.cloud.datacatalog.v1.ReconcileTagsMetadata] and a [ReconcileTagsResponse] [google.cloud.datacatalog.v1.ReconcileTagsResponse] message.

# 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 datacatalog_v1

def sample_reconcile_tags():
    # Create a client
    client = datacatalog_v1.DataCatalogClient()

    # Initialize request argument(s)
    request = datacatalog_v1.ReconcileTagsRequest(
        parent="parent_value",
        tag_template="tag_template_value",
    )

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

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

    response = operation.result()

    # Handle the response
    print(response)

Parameters
Name	Description
request	Union[google.cloud.datacatalog_v1.types.ReconcileTagsRequest, dict] The request object. Request message for ReconcileTags.
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 ReconcileTagsResponse Long-running operation][google.longrunning.Operation] response message returned by ReconcileTags.

rename_tag_template_field

rename_tag_template_field(
    request: typing.Optional[
        typing.Union[
            google.cloud.datacatalog_v1.types.datacatalog.RenameTagTemplateFieldRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    new_tag_template_field_id: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.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.datacatalog_v1.types.tags.TagTemplateField

Renames a field in a tag template.

You must enable the Data Catalog API in the project identified by the name parameter. For more information, see Data Catalog resource project.

# 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 datacatalog_v1

def sample_rename_tag_template_field():
    # Create a client
    client = datacatalog_v1.DataCatalogClient()

    # Initialize request argument(s)
    request = datacatalog_v1.RenameTagTemplateFieldRequest(
        name="name_value",
        new_tag_template_field_id="new_tag_template_field_id_value",
    )

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

    # Handle the response
    print(response)

Parameters
Name	Description
request	Union[google.cloud.datacatalog_v1.types.RenameTagTemplateFieldRequest, dict] The request object. Request message for RenameTagTemplateField.
name	str Required. The name of the tag template field. This corresponds to the name field on the request instance; if request is provided, this should not be set.
new_tag_template_field_id	str Required. The new ID of this tag template field. For example, my_new_field. This corresponds to the new_tag_template_field_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.cloud.datacatalog_v1.types.TagTemplateField	The template for an individual field within a tag template.

rename_tag_template_field_enum_value

rename_tag_template_field_enum_value(
    request: typing.Optional[
        typing.Union[
            google.cloud.datacatalog_v1.types.datacatalog.RenameTagTemplateFieldEnumValueRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    new_enum_value_display_name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.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.datacatalog_v1.types.tags.TagTemplateField

Renames an enum value in a tag template.

Within a single enum field, enum values must be unique.

# 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 datacatalog_v1

def sample_rename_tag_template_field_enum_value():
    # Create a client
    client = datacatalog_v1.DataCatalogClient()

    # Initialize request argument(s)
    request = datacatalog_v1.RenameTagTemplateFieldEnumValueRequest(
        name="name_value",
        new_enum_value_display_name="new_enum_value_display_name_value",
    )

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

    # Handle the response
    print(response)

Parameters
Name	Description
request	Union[google.cloud.datacatalog_v1.types.RenameTagTemplateFieldEnumValueRequest, dict] The request object. Request message for RenameTagTemplateFieldEnumValue.
name	str Required. The name of the enum field value. This corresponds to the name field on the request instance; if request is provided, this should not be set.
new_enum_value_display_name	str Required. The new display name of the enum value. For example, my_new_enum_value. This corresponds to the new_enum_value_display_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.datacatalog_v1.types.TagTemplateField	The template for an individual field within a tag template.

search_catalog

search_catalog(
    request: typing.Optional[
        typing.Union[
            google.cloud.datacatalog_v1.types.datacatalog.SearchCatalogRequest, dict
        ]
    ] = None,
    *,
    scope: typing.Optional[
        google.cloud.datacatalog_v1.types.datacatalog.SearchCatalogRequest.Scope
    ] = None,
    query: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.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.datacatalog_v1.services.data_catalog.pagers.SearchCatalogPager

Searches Data Catalog for multiple resources like entries and tags that match a query.

This is a Custom Method that doesn't return all information on a resource, only its ID and high level fields. To get more information, you can subsequently call specific get methods.

Note: Data Catalog search queries don't guarantee full recall. Results that match your query might not be returned, even in subsequent result pages. Additionally, returned (and not returned) results can vary if you repeat search queries.

For more information, see Data Catalog search syntax.

# 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 datacatalog_v1

def sample_search_catalog():
    # Create a client
    client = datacatalog_v1.DataCatalogClient()

    # Initialize request argument(s)
    request = datacatalog_v1.SearchCatalogRequest(
    )

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

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

Parameters
Name	Description
request	Union[google.cloud.datacatalog_v1.types.SearchCatalogRequest, dict] The request object. Request message for SearchCatalog.
scope	google.cloud.datacatalog_v1.types.SearchCatalogRequest.Scope Required. The scope of this search request. The scope is invalid if include_org_ids, include_project_ids are empty AND include_gcp_public_datasets is set to false. In this case, the request returns an error. This corresponds to the scope field on the request instance; if request is provided, this should not be set.
query	str Optional. The query string with a minimum of 3 characters and specific syntax. For more information, see Data Catalog search syntax https://cloud.google.com/data-catalog/docs/how-to/search-reference__. An empty query string returns all data assets (in the specified scope) that you have access to. A query string can be a simple xyz or qualified by predicates: - name:x - column:y - description:z This corresponds to the query 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.datacatalog_v1.services.data_catalog.pagers.SearchCatalogPager	Response message for SearchCatalog. Iterating over this object will yield results and resolve additional pages automatically.

set_iam_policy

set_iam_policy(
    request: typing.Optional[
        typing.Union[google.iam.v1.iam_policy_pb2.SetIamPolicyRequest, dict]
    ] = None,
    *,
    resource: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.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.iam.v1.policy_pb2.Policy

Sets an access control policy for a resource. Replaces any existing policy.

Supported resources are:

• Tag templates
• Entry groups

Note: This method sets policies only within Data Catalog and can't be used to manage policies in BigQuery, Pub/Sub, Dataproc Metastore, and any external Google Cloud Platform resources synced with the Data Catalog.

To call this method, you must have the following Google IAM permissions:

• datacatalog.tagTemplates.setIamPolicy to set policies on tag templates.
• datacatalog.entryGroups.setIamPolicy to set policies on entry groups.

# 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 datacatalog_v1
from google.iam.v1 import iam_policy_pb2  # type: ignore

def sample_set_iam_policy():
    # Create a client
    client = datacatalog_v1.DataCatalogClient()

    # Initialize request argument(s)
    request = iam_policy_pb2.SetIamPolicyRequest(
        resource="resource_value",
    )

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

    # Handle the response
    print(response)

Parameters
Name	Description
request	Union[google.iam.v1.iam_policy_pb2.SetIamPolicyRequest, dict] The request object. Request message for SetIamPolicy method.
resource	str REQUIRED: The resource for which the policy is being specified. See the operation documentation for the appropriate value for this field. This corresponds to the resource 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.iam.v1.policy_pb2.Policy	An Identity and Access Management (IAM) policy, which specifies access controls for Google Cloud resources. A Policy is a collection of bindings. A binding binds one or more members, or principals, to a single role. Principals can be user accounts, service accounts, Google groups, and domains (such as G Suite). A role is a named list of permissions; each role can be an IAM predefined role or a user-created custom role. For some types of Google Cloud resources, a binding can also specify a condition, which is a logical expression that allows access to a resource only if the expression evaluates to true. A condition can add constraints based on attributes of the request, the resource, or both. To learn which resources support conditions in their IAM policies, see the [IAM documentation](\ https://cloud.google.com/iam/help/conditions/resource-policies). **JSON example:** :literal:\ { "bindings": [ { "role": "roles/resourcemanager.organizationAdmin", "members": [ "user:[e-mail]", "group:[e-mail]", "domain:google.com", "serviceAccount:[e-mail]" ] }, { "role": "roles/resourcemanager.organizationViewer", "members": [ "user:[e-mail]" ], "condition": { "title": "expirable access", "description": "Does not grant access after Sep 2020", "expression": "request.time < timestamp('2020-10-01t00:00:00.000z')",="" }="" }="" ],="" "etag":="" "bwwwja0yfja=", " version":="" 3="">\ \ **YAML example:** :literal:\ bindings: - members: - user:[e-mail] - group:[e-mail] - domain:google.com - serviceAccount:[e-mail] role: roles/resourcemanager.organizationAdmin - members: - user:[e-mail] role: roles/resourcemanager.organizationViewer condition: title: expirable access description: Does not grant access after Sep 2020 expression: request.time < timestamp('2020-10-01t00:00:00.000z')="" etag:="" bwwwja0yfja="version:">\ \ For a description of IAM and its features, see the [IAM documentation](\ https://cloud.google.com/iam/docs/).

star_entry

star_entry(
    request: typing.Optional[
        typing.Union[
            google.cloud.datacatalog_v1.types.datacatalog.StarEntryRequest, dict
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.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.datacatalog_v1.types.datacatalog.StarEntryResponse

Marks an xref_Entry as starred by the current user. Starring information is private to each user.

# 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 datacatalog_v1

def sample_star_entry():
    # Create a client
    client = datacatalog_v1.DataCatalogClient()

    # Initialize request argument(s)
    request = datacatalog_v1.StarEntryRequest(
        name="name_value",
    )

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

    # Handle the response
    print(response)

Parameters
Name	Description
request	Union[google.cloud.datacatalog_v1.types.StarEntryRequest, dict] The request object. Request message for StarEntry.
name	str Required. The name of the entry to mark as starred. 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.datacatalog_v1.types.StarEntryResponse	Response message for StarEntry. Empty for now

tag_path

tag_path(
    project: str, location: str, entry_group: str, entry: str, tag: str
) -> str

Returns a fully-qualified tag string.

tag_template_field_enum_value_path

tag_template_field_enum_value_path(
    project: str,
    location: str,
    tag_template: str,
    tag_template_field_id: str,
    enum_value_display_name: str,
) -> str

Returns a fully-qualified tag_template_field_enum_value string.

tag_template_field_path

tag_template_field_path(
    project: str, location: str, tag_template: str, field: str
) -> str

Returns a fully-qualified tag_template_field string.

tag_template_path

tag_template_path(project: str, location: str, tag_template: str) -> str

Returns a fully-qualified tag_template string.

test_iam_permissions

test_iam_permissions(
    request: typing.Optional[
        typing.Union[google.iam.v1.iam_policy_pb2.TestIamPermissionsRequest, dict]
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.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.iam.v1.iam_policy_pb2.TestIamPermissionsResponse

Gets your permissions on a resource.

Returns an empty set of permissions if the resource doesn't exist.

Supported resources are:

• Tag templates
• Entry groups

Note: This method gets policies only within Data Catalog and can't be used to get policies from BigQuery, Pub/Sub, Dataproc Metastore, and any external Google Cloud Platform resources ingested into Data Catalog.

No Google IAM permissions are required to call this method.

# 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 datacatalog_v1
from google.iam.v1 import iam_policy_pb2  # type: ignore

def sample_test_iam_permissions():
    # Create a client
    client = datacatalog_v1.DataCatalogClient()

    # Initialize request argument(s)
    request = iam_policy_pb2.TestIamPermissionsRequest(
        resource="resource_value",
        permissions=['permissions_value1', 'permissions_value2'],
    )

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

    # Handle the response
    print(response)

Parameters
Name	Description
request	Union[google.iam.v1.iam_policy_pb2.TestIamPermissionsRequest, dict] The request object. Request message for TestIamPermissions 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
google.iam.v1.iam_policy_pb2.TestIamPermissionsResponse	Response message for TestIamPermissions method.

unstar_entry

unstar_entry(
    request: typing.Optional[
        typing.Union[
            google.cloud.datacatalog_v1.types.datacatalog.UnstarEntryRequest, dict
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.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.datacatalog_v1.types.datacatalog.UnstarEntryResponse

Marks an xref_Entry as NOT starred by the current user. Starring information is private to each user.

# 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 datacatalog_v1

def sample_unstar_entry():
    # Create a client
    client = datacatalog_v1.DataCatalogClient()

    # Initialize request argument(s)
    request = datacatalog_v1.UnstarEntryRequest(
        name="name_value",
    )

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

    # Handle the response
    print(response)

Parameters
Name	Description
request	Union[google.cloud.datacatalog_v1.types.UnstarEntryRequest, dict] The request object. Request message for UnstarEntry.
name	str Required. The name of the entry to mark as not starred. 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.datacatalog_v1.types.UnstarEntryResponse	Response message for UnstarEntry. Empty for now

update_entry

update_entry(
    request: typing.Optional[
        typing.Union[
            google.cloud.datacatalog_v1.types.datacatalog.UpdateEntryRequest, dict
        ]
    ] = None,
    *,
    entry: typing.Optional[google.cloud.datacatalog_v1.types.datacatalog.Entry] = None,
    update_mask: typing.Optional[google.protobuf.field_mask_pb2.FieldMask] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.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.datacatalog_v1.types.datacatalog.Entry

Updates an existing entry.

You must enable the Data Catalog API in the project identified by the entry.name parameter. For more information, see Data Catalog resource project <https://cloud.google.com/data-catalog/docs/concepts/resource-project>__.

# 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 datacatalog_v1

def sample_update_entry():
    # Create a client
    client = datacatalog_v1.DataCatalogClient()

    # Initialize request argument(s)
    entry = datacatalog_v1.Entry()
    entry.type_ = "FEATURE_GROUP"
    entry.integrated_system = "VERTEX_AI"
    entry.gcs_fileset_spec.file_patterns = ['file_patterns_value1', 'file_patterns_value2']

    request = datacatalog_v1.UpdateEntryRequest(
        entry=entry,
    )

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

    # Handle the response
    print(response)

Parameters
Name	Description
request	Union[google.cloud.datacatalog_v1.types.UpdateEntryRequest, dict] The request object. Request message for UpdateEntry.
entry	google.cloud.datacatalog_v1.types.Entry Required. Updates for the entry. The name field must be set. This corresponds to the entry field on the request instance; if request is provided, this should not be set.
update_mask	google.protobuf.field_mask_pb2.FieldMask Names of fields whose values to overwrite on an entry. If this parameter is absent or empty, all modifiable fields are overwritten. If such fields are non-required and omitted in the request body, their values are emptied. You can modify only the fields listed below. For entries with type DATA_STREAM: - schema For entries with type FILESET: - schema - display_name - description - gcs_fileset_spec - gcs_fileset_spec.file_patterns For entries with user_specified_type: - schema - display_name - description - user_specified_type - user_specified_system - linked_resource - source_system_timestamps 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.cloud.datacatalog_v1.types.Entry	Entry metadata. A Data Catalog entry represents another resource in Google Cloud Platform (such as a BigQuery dataset or a Pub/Sub topic) or outside of it. You can use the linked_resource field in the entry resource to refer to the original resource ID of the source system. An entry resource contains resource details, for example, its schema. Additionally, you can attach flexible metadata to an entry in the form of a Tag.

update_entry_group

update_entry_group(
    request: typing.Optional[
        typing.Union[
            google.cloud.datacatalog_v1.types.datacatalog.UpdateEntryGroupRequest, dict
        ]
    ] = None,
    *,
    entry_group: typing.Optional[
        google.cloud.datacatalog_v1.types.datacatalog.EntryGroup
    ] = None,
    update_mask: typing.Optional[google.protobuf.field_mask_pb2.FieldMask] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.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.datacatalog_v1.types.datacatalog.EntryGroup

Updates an entry group.

You must enable the Data Catalog API in the project identified by the entry_group.name parameter. For more information, see Data Catalog resource project <https://cloud.google.com/data-catalog/docs/concepts/resource-project>__.

# 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 datacatalog_v1

def sample_update_entry_group():
    # Create a client
    client = datacatalog_v1.DataCatalogClient()

    # Initialize request argument(s)
    request = datacatalog_v1.UpdateEntryGroupRequest(
    )

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

    # Handle the response
    print(response)

Parameters
Name	Description
request	Union[google.cloud.datacatalog_v1.types.UpdateEntryGroupRequest, dict] The request object. Request message for UpdateEntryGroup.
entry_group	google.cloud.datacatalog_v1.types.EntryGroup Required. Updates for the entry group. The name field must be set. This corresponds to the entry_group field on the request instance; if request is provided, this should not be set.
update_mask	google.protobuf.field_mask_pb2.FieldMask Names of fields whose values to overwrite on an entry group. If this parameter is absent or empty, all modifiable fields are overwritten. If such fields are non-required and omitted in the request body, their values are emptied. 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.cloud.datacatalog_v1.types.EntryGroup	Entry group metadata. An EntryGroup resource represents a logical grouping of zero or more Data Catalog Entry resources.

update_tag

update_tag(
    request: typing.Optional[
        typing.Union[
            google.cloud.datacatalog_v1.types.datacatalog.UpdateTagRequest, dict
        ]
    ] = None,
    *,
    tag: typing.Optional[google.cloud.datacatalog_v1.types.tags.Tag] = None,
    update_mask: typing.Optional[google.protobuf.field_mask_pb2.FieldMask] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.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.datacatalog_v1.types.tags.Tag

Updates an existing tag.

# 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 datacatalog_v1

def sample_update_tag():
    # Create a client
    client = datacatalog_v1.DataCatalogClient()

    # Initialize request argument(s)
    tag = datacatalog_v1.Tag()
    tag.column = "column_value"
    tag.template = "template_value"

    request = datacatalog_v1.UpdateTagRequest(
        tag=tag,
    )

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

    # Handle the response
    print(response)

Parameters
Name	Description
request	Union[google.cloud.datacatalog_v1.types.UpdateTagRequest, dict] The request object. Request message for UpdateTag.
tag	google.cloud.datacatalog_v1.types.Tag Required. The updated tag. The "name" field must be set. This corresponds to the tag field on the request instance; if request is provided, this should not be set.
update_mask	google.protobuf.field_mask_pb2.FieldMask Names of fields whose values to overwrite on a tag. Currently, a tag has the only modifiable field with the name fields. In general, if this parameter is absent or empty, all modifiable fields are overwritten. If such fields are non-required and omitted in the request body, their values are emptied. 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.cloud.datacatalog_v1.types.Tag	Tags contain custom metadata and are attached to Data Catalog resources. Tags conform with the specification of their tag template. See [Data Catalog IAM](\ https://cloud.google.com/data-catalog/docs/concepts/iam) for information on the permissions needed to create or view tags.

update_tag_template

update_tag_template(
    request: typing.Optional[
        typing.Union[
            google.cloud.datacatalog_v1.types.datacatalog.UpdateTagTemplateRequest, dict
        ]
    ] = None,
    *,
    tag_template: typing.Optional[
        google.cloud.datacatalog_v1.types.tags.TagTemplate
    ] = None,
    update_mask: typing.Optional[google.protobuf.field_mask_pb2.FieldMask] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.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.datacatalog_v1.types.tags.TagTemplate

Updates a tag template.

You can't update template fields with this method. These fields are separate resources with their own create, update, and delete methods.

You must enable the Data Catalog API in the project identified by the tag_template.name parameter. For more information, see Data Catalog resource project <https://cloud.google.com/data-catalog/docs/concepts/resource-project>__.

# 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 datacatalog_v1

def sample_update_tag_template():
    # Create a client
    client = datacatalog_v1.DataCatalogClient()

    # Initialize request argument(s)
    request = datacatalog_v1.UpdateTagTemplateRequest(
    )

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

    # Handle the response
    print(response)

Parameters
Name	Description
request	Union[google.cloud.datacatalog_v1.types.UpdateTagTemplateRequest, dict] The request object. Request message for UpdateTagTemplate.
tag_template	google.cloud.datacatalog_v1.types.TagTemplate Required. The template to update. The name field must be set. This corresponds to the tag_template field on the request instance; if request is provided, this should not be set.
update_mask	google.protobuf.field_mask_pb2.FieldMask Names of fields whose values to overwrite on a tag template. Currently, only display_name and is_publicly_readable can be overwritten. If this parameter is absent or empty, all modifiable fields are overwritten. If such fields are non-required and omitted in the request body, their values are emptied. Note: Updating the is_publicly_readable field may require up to 12 hours to take effect in search results. 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.cloud.datacatalog_v1.types.TagTemplate	A tag template defines a tag that can have one or more typed fields. The template is used to create tags that are attached to Google Cloud resources. [Tag template roles] (https://cloud.google.com/iam/docs/understanding-roles#data-catalog-roles) provide permissions to create, edit, and use the template. For example, see the [TagTemplate User] (https://cloud.google.com/data-catalog/docs/how-to/template-user) role that includes a permission to use the tag template to tag resources.

update_tag_template_field

update_tag_template_field(
    request: typing.Optional[
        typing.Union[
            google.cloud.datacatalog_v1.types.datacatalog.UpdateTagTemplateFieldRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    tag_template_field: typing.Optional[
        google.cloud.datacatalog_v1.types.tags.TagTemplateField
    ] = None,
    update_mask: typing.Optional[google.protobuf.field_mask_pb2.FieldMask] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.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.datacatalog_v1.types.tags.TagTemplateField

Updates a field in a tag template.

You can't update the field type with this method.

You must enable the Data Catalog API in the project identified by the name parameter. For more information, see Data Catalog resource project <https://cloud.google.com/data-catalog/docs/concepts/resource-project>__.

# 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 datacatalog_v1

def sample_update_tag_template_field():
    # Create a client
    client = datacatalog_v1.DataCatalogClient()

    # Initialize request argument(s)
    tag_template_field = datacatalog_v1.TagTemplateField()
    tag_template_field.type_.primitive_type = "RICHTEXT"

    request = datacatalog_v1.UpdateTagTemplateFieldRequest(
        name="name_value",
        tag_template_field=tag_template_field,
    )

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

    # Handle the response
    print(response)

Parameters
Name	Description
request	Union[google.cloud.datacatalog_v1.types.UpdateTagTemplateFieldRequest, dict] The request object. Request message for UpdateTagTemplateField.
name	str Required. The name of the tag template field. This corresponds to the name field on the request instance; if request is provided, this should not be set.
tag_template_field	google.cloud.datacatalog_v1.types.TagTemplateField Required. The template to update. This corresponds to the tag_template_field field on the request instance; if request is provided, this should not be set.
update_mask	google.protobuf.field_mask_pb2.FieldMask Optional. Names of fields whose values to overwrite on an individual field of a tag template. The following fields are modifiable: - display_name - type.enum_type - is_required If this parameter is absent or empty, all modifiable fields are overwritten. If such fields are non-required and omitted in the request body, their values are emptied with one exception: when updating an enum type, the provided values are merged with the existing values. Therefore, enum values can only be added, existing enum values cannot be deleted or renamed. Additionally, updating a template field from optional to required is not allowed. 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.cloud.datacatalog_v1.types.TagTemplateField	The template for an individual field within a tag template.