Class DataCatalogAsyncClient (3.20.1)

Data Catalog API service allows clients to discover, understand, and manage their data.

Return the API endpoint used by the client instance.

Returns the transport used by the client instance.

Return the universe domain used by the client instance.

Instantiates the data catalog async client.

Returns a fully-qualified billing_account string.

Returns a fully-qualified folder string.

Returns a fully-qualified location string.

Returns a fully-qualified organization string.

Returns a fully-qualified project string.

Creates an entry. Only entries of 'FILESET' type or user-specified type can be created.

Users should enable the Data Catalog API in the project identified by the parent parameter (see Data Catalog Resource Project for more information).

A maximum of 100,000 entries may be created per 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_v1beta1

async def sample_create_entry():
    # Create a client
    client = datacatalog_v1beta1.DataCatalogAsyncClient()

    # Initialize request argument(s)
    entry = datacatalog_v1beta1.Entry()
    entry.type_ = "FILESET"
    entry.integrated_system = "CLOUD_PUBSUB"
    entry.gcs_fileset_spec.file_patterns = ['file_patterns_value1', 'file_patterns_value2']

    request = datacatalog_v1beta1.CreateEntryRequest(
        parent="parent_value",
        entry_id="entry_id_value",
        entry=entry,
    )

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

    # Handle the response
    print(response)

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

Users should enable the Data Catalog API in the project identified by the parent parameter (see Data Catalog Resource Project for more information).

# 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_v1beta1

async def sample_create_entry_group():
    # Create a client
    client = datacatalog_v1beta1.DataCatalogAsyncClient()

    # Initialize request argument(s)
    request = datacatalog_v1beta1.CreateEntryGroupRequest(
        parent="parent_value",
        entry_group_id="entry_group_id_value",
    )

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

    # Handle the response
    print(response)

Creates a tag on an xref_Entry. Note: The project identified by the parent parameter for the tag <https://cloud.google.com/data-catalog/docs/reference/rest/v1beta1/projects.locations.entryGroups.entries.tags/create#path-parameters> and the tag template <https://cloud.google.com/data-catalog/docs/reference/rest/v1beta1/projects.locations.tagTemplates/create#path-parameters> used to create the tag must be from 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_v1beta1

async def sample_create_tag():
    # Create a client
    client = datacatalog_v1beta1.DataCatalogAsyncClient()

    # Initialize request argument(s)
    tag = datacatalog_v1beta1.Tag()
    tag.column = "column_value"
    tag.template = "template_value"

    request = datacatalog_v1beta1.CreateTagRequest(
        parent="parent_value",
        tag=tag,
    )

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

    # Handle the response
    print(response)

Creates a tag template. The user should enable the Data Catalog API in the project identified by the parent parameter (see Data Catalog Resource Project <https://cloud.google.com/data-catalog/docs/concepts/resource-project>__ for more information).

# 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_v1beta1

async def sample_create_tag_template():
    # Create a client
    client = datacatalog_v1beta1.DataCatalogAsyncClient()

    # Initialize request argument(s)
    request = datacatalog_v1beta1.CreateTagTemplateRequest(
        parent="parent_value",
        tag_template_id="tag_template_id_value",
    )

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

    # Handle the response
    print(response)

Creates a field in a tag template. The user should enable the Data Catalog API in the project identified by the parent parameter (see Data Catalog Resource Project <https://cloud.google.com/data-catalog/docs/concepts/resource-project>__ for more information).

# 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_v1beta1

async def sample_create_tag_template_field():
    # Create a client
    client = datacatalog_v1beta1.DataCatalogAsyncClient()

    # Initialize request argument(s)
    tag_template_field = datacatalog_v1beta1.TagTemplateField()
    tag_template_field.type_.primitive_type = "TIMESTAMP"

    request = datacatalog_v1beta1.CreateTagTemplateFieldRequest(
        parent="parent_value",
        tag_template_field_id="tag_template_field_id_value",
        tag_template_field=tag_template_field,
    )

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

    # Handle the response
    print(response)

Deletes an existing entry. Only entries created through xref_CreateEntry method can be deleted. Users should enable the Data Catalog API in the project identified by the name parameter (see Data Catalog Resource Project for more information).

# 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_v1beta1

async def sample_delete_entry():
    # Create a client
    client = datacatalog_v1beta1.DataCatalogAsyncClient()

    # Initialize request argument(s)
    request = datacatalog_v1beta1.DeleteEntryRequest(
        name="name_value",
    )

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

Deletes an EntryGroup. Only entry groups that do not contain entries can be deleted. Users should enable the Data Catalog API in the project identified by the name parameter (see Data Catalog Resource Project for more information).

# 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_v1beta1

async def sample_delete_entry_group():
    # Create a client
    client = datacatalog_v1beta1.DataCatalogAsyncClient()

    # Initialize request argument(s)
    request = datacatalog_v1beta1.DeleteEntryGroupRequest(
        name="name_value",
    )

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

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_v1beta1

async def sample_delete_tag():
    # Create a client
    client = datacatalog_v1beta1.DataCatalogAsyncClient()

    # Initialize request argument(s)
    request = datacatalog_v1beta1.DeleteTagRequest(
        name="name_value",
    )

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

Deletes a tag template and all tags using the template. Users should enable the Data Catalog API in the project identified by the name parameter (see Data Catalog Resource Project for more information).

# 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_v1beta1

async def sample_delete_tag_template():
    # Create a client
    client = datacatalog_v1beta1.DataCatalogAsyncClient()

    # Initialize request argument(s)
    request = datacatalog_v1beta1.DeleteTagTemplateRequest(
        name="name_value",
        force=True,
    )

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

Deletes a field in a tag template and all uses of that field. Users should enable the Data Catalog API in the project identified by the name parameter (see Data Catalog Resource Project for more information).

# 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_v1beta1

async def sample_delete_tag_template_field():
    # Create a client
    client = datacatalog_v1beta1.DataCatalogAsyncClient()

    # Initialize request argument(s)
    request = datacatalog_v1beta1.DeleteTagTemplateFieldRequest(
        name="name_value",
        force=True,
    )

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

Returns a fully-qualified entry_group string.

Returns a fully-qualified entry string.

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

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

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

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_v1beta1

async def sample_get_entry():
    # Create a client
    client = datacatalog_v1beta1.DataCatalogAsyncClient()

    # Initialize request argument(s)
    request = datacatalog_v1beta1.GetEntryRequest(
        name="name_value",
    )

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

    # Handle the response
    print(response)

Gets an EntryGroup.

# 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_v1beta1

async def sample_get_entry_group():
    # Create a client
    client = datacatalog_v1beta1.DataCatalogAsyncClient()

    # Initialize request argument(s)
    request = datacatalog_v1beta1.GetEntryGroupRequest(
        name="name_value",
    )

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

    # Handle the response
    print(response)

Gets the access control policy for a resource. A NOT_FOUND error is returned if the resource does not exist. An empty policy is returned if the resource exists but does not have a policy set on it.

Supported resources are:

• Tag templates.
• Entries.
• Entry groups. Note, this method cannot be used to manage policies for BigQuery, Pub/Sub and any external Google Cloud Platform resources synced to Data Catalog.

Callers must have following Google IAM permission

• datacatalog.tagTemplates.getIamPolicy to get policies on tag templates.
• datacatalog.entries.getIamPolicy to get policies on entries.
• 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_v1beta1
from google.iam.v1 import iam_policy_pb2  # type: ignore

async def sample_get_iam_policy():
    # Create a client
    client = datacatalog_v1beta1.DataCatalogAsyncClient()

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

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

    # Handle the response
    print(response)

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

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

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

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

Gets 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_v1beta1

async def sample_get_tag_template():
    # Create a client
    client = datacatalog_v1beta1.DataCatalogAsyncClient()

    # Initialize request argument(s)
    request = datacatalog_v1beta1.GetTagTemplateRequest(
        name="name_value",
    )

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

    # Handle the response
    print(response)

Returns an appropriate transport class.

Lists 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_v1beta1

async def sample_list_entries():
    # Create a client
    client = datacatalog_v1beta1.DataCatalogAsyncClient()

    # Initialize request argument(s)
    request = datacatalog_v1beta1.ListEntriesRequest(
        parent="parent_value",
    )

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

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

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_v1beta1

async def sample_list_entry_groups():
    # Create a client
    client = datacatalog_v1beta1.DataCatalogAsyncClient()

    # Initialize request argument(s)
    request = datacatalog_v1beta1.ListEntryGroupsRequest(
        parent="parent_value",
    )

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

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

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_v1beta1

async def sample_list_tags():
    # Create a client
    client = datacatalog_v1beta1.DataCatalogAsyncClient()

    # Initialize request argument(s)
    request = datacatalog_v1beta1.ListTagsRequest(
        parent="parent_value",
    )

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

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

Get an entry by target resource name. This method allows clients to use the resource name from the source Google Cloud Platform service to get the Data Catalog 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_v1beta1

async def sample_lookup_entry():
    # Create a client
    client = datacatalog_v1beta1.DataCatalogAsyncClient()

    # Initialize request argument(s)
    request = datacatalog_v1beta1.LookupEntryRequest(
        linked_resource="linked_resource_value",
    )

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

    # Handle the response
    print(response)

Parse a billing_account path into its component segments.

Parse a folder path into its component segments.

Parse a location path into its component segments.

Parse a organization path into its component segments.

Parse a project path into its component segments.

Parses a entry_group path into its component segments.

Parses a entry path into its component segments.

Parses a tag path into its component segments.

Parses a tag_template_field_enum_value path into its component segments.

Parses a tag_template_field path into its component segments.

Parses a tag_template path into its component segments.

Renames a field in a tag template. The user should enable the Data Catalog API in the project identified by the name parameter (see Data Catalog Resource Project <https://cloud.google.com/data-catalog/docs/concepts/resource-project>__ for more information).

# 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_v1beta1

async def sample_rename_tag_template_field():
    # Create a client
    client = datacatalog_v1beta1.DataCatalogAsyncClient()

    # Initialize request argument(s)
    request = datacatalog_v1beta1.RenameTagTemplateFieldRequest(
        name="name_value",
        new_tag_template_field_id="new_tag_template_field_id_value",
    )

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

    # Handle the response
    print(response)

Renames an enum value in a tag template. The enum values have to be unique within one enum field. Thus, an enum value cannot be renamed with a name used in any other enum value within the same enum field.

# 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_v1beta1

async def sample_rename_tag_template_field_enum_value():
    # Create a client
    client = datacatalog_v1beta1.DataCatalogAsyncClient()

    # Initialize request argument(s)
    request = datacatalog_v1beta1.RenameTagTemplateFieldEnumValueRequest(
        name="name_value",
        new_enum_value_display_name="new_enum_value_display_name_value",
    )

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

    # Handle the response
    print(response)

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

This is a custom method (https://cloud.google.com/apis/design/custom_methods) and does not return the complete resource, only the resource identifier and high level fields. Clients can subsequently call Get methods.

Note that Data Catalog search queries do not guarantee full recall. Query results that match your query may not be returned, even in subsequent result pages. Also note that results returned (and not returned) can vary across repeated search queries.

See Data Catalog Search Syntax <https://cloud.google.com/data-catalog/docs/how-to/search-reference>__ for more information.

# 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_v1beta1

async def sample_search_catalog():
    # Create a client
    client = datacatalog_v1beta1.DataCatalogAsyncClient()

    # Initialize request argument(s)
    request = datacatalog_v1beta1.SearchCatalogRequest(
    )

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

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

Sets the access control policy for a resource. Replaces any existing policy. Supported resources are:

• Tag templates.
• Entries.
• Entry groups. Note, this method cannot be used to manage policies for BigQuery, Pub/Sub and any external Google Cloud Platform resources synced to Data Catalog.

Callers must have following Google IAM permission

• datacatalog.tagTemplates.setIamPolicy to set policies on tag templates.
• datacatalog.entries.setIamPolicy to set policies on entries.
• 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_v1beta1
from google.iam.v1 import iam_policy_pb2  # type: ignore

async def sample_set_iam_policy():
    # Create a client
    client = datacatalog_v1beta1.DataCatalogAsyncClient()

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

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

    # Handle the response
    print(response)

Returns a fully-qualified tag string.

Returns a fully-qualified tag_template_field_enum_value string.

Returns a fully-qualified tag_template_field string.

Returns a fully-qualified tag_template string.

Returns the caller's permissions on a resource. If the resource does not exist, an empty set of permissions is returned (We don't return a NOT_FOUND error).

Supported resources are:

• Tag templates.
• Entries.
• Entry groups. Note, this method cannot be used to manage policies for BigQuery, Pub/Sub and any external Google Cloud Platform resources synced to Data Catalog.

A caller is not required to have Google IAM permission to make this request.

# 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_v1beta1
from google.iam.v1 import iam_policy_pb2  # type: ignore

async def sample_test_iam_permissions():
    # Create a client
    client = datacatalog_v1beta1.DataCatalogAsyncClient()

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

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

    # Handle the response
    print(response)

Updates an existing entry. Users should enable the Data Catalog API in the project identified by the entry.name parameter (see Data Catalog Resource Project for more information).

# 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_v1beta1

async def sample_update_entry():
    # Create a client
    client = datacatalog_v1beta1.DataCatalogAsyncClient()

    # Initialize request argument(s)
    entry = datacatalog_v1beta1.Entry()
    entry.type_ = "FILESET"
    entry.integrated_system = "CLOUD_PUBSUB"
    entry.gcs_fileset_spec.file_patterns = ['file_patterns_value1', 'file_patterns_value2']

    request = datacatalog_v1beta1.UpdateEntryRequest(
        entry=entry,
    )

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

    # Handle the response
    print(response)

Updates an EntryGroup. The user should enable the Data Catalog API in the project identified by the entry_group.name parameter (see Data Catalog Resource Project for more information).

# 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_v1beta1

async def sample_update_entry_group():
    # Create a client
    client = datacatalog_v1beta1.DataCatalogAsyncClient()

    # Initialize request argument(s)
    request = datacatalog_v1beta1.UpdateEntryGroupRequest(
    )

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

    # Handle the response
    print(response)

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_v1beta1

async def sample_update_tag():
    # Create a client
    client = datacatalog_v1beta1.DataCatalogAsyncClient()

    # Initialize request argument(s)
    tag = datacatalog_v1beta1.Tag()
    tag.column = "column_value"
    tag.template = "template_value"

    request = datacatalog_v1beta1.UpdateTagRequest(
        tag=tag,
    )

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

    # Handle the response
    print(response)

Updates a tag template. This method cannot be used to update the fields of a template. The tag template fields are represented as separate resources and should be updated using their own create/update/delete methods. Users should enable the Data Catalog API in the project identified by the tag_template.name parameter (see Data Catalog Resource Project for more information).

# 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_v1beta1

async def sample_update_tag_template():
    # Create a client
    client = datacatalog_v1beta1.DataCatalogAsyncClient()

    # Initialize request argument(s)
    request = datacatalog_v1beta1.UpdateTagTemplateRequest(
    )

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

    # Handle the response
    print(response)

Updates a field in a tag template. This method cannot be used to update the field type. Users should enable the Data Catalog API in the project identified by the name parameter (see Data Catalog Resource Project for more information).

# 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_v1beta1

async def sample_update_tag_template_field():
    # Create a client
    client = datacatalog_v1beta1.DataCatalogAsyncClient()

    # Initialize request argument(s)
    tag_template_field = datacatalog_v1beta1.TagTemplateField()
    tag_template_field.type_.primitive_type = "TIMESTAMP"

    request = datacatalog_v1beta1.UpdateTagTemplateFieldRequest(
        name="name_value",
        tag_template_field=tag_template_field,
    )

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

    # Handle the response
    print(response)