Class DataCatalogClient (3.7.1)

DataCatalogClient(*, credentials: Optional[google.auth.credentials.Credentials] = None, transport: Optional[Union[str, google.cloud.datacatalog_v1.services.data_catalog.transports.base.DataCatalogTransport]] = None, client_options: Optional[google.api_core.client_options.ClientOptions] = None, client_info: google.api_core.gapic_v1.client_info.ClientInfo = <google.api_core.gapic_v1.client_info.ClientInfo object>)

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

Properties

transport

Returns the transport used by the client instance.

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

Methods

DataCatalogClient

DataCatalogClient(*, credentials: Optional[google.auth.credentials.Credentials] = None, transport: Optional[Union[str, google.cloud.datacatalog_v1.services.data_catalog.transports.base.DataCatalogTransport]] = None, client_options: Optional[google.api_core.client_options.ClientOptions] = None, client_info: google.api_core.gapic_v1.client_info.ClientInfo = <google.api_core.gapic_v1.client_info.ClientInfo object>)

Instantiates the 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`	`Union[str, DataCatalogTransport]` The transport to use. If set to None, a transport is chosen automatically.
`client_options`	`google.api_core.client_options.ClientOptions` Custom options for the client. It won't take effect if a `transport` instance is provided. (1) The `api_endpoint` property can be used to override the default endpoint provided by the client. GOOGLE_API_USE_MTLS_ENDPOINT environment variable can also be used to override the endpoint: "always" (always use the default mTLS endpoint), "never" (always use the default regular endpoint) and "auto" (auto switch to the default mTLS endpoint if client certificate is present, this is the default value). However, the `api_endpoint` property takes precedence if provided. (2) If GOOGLE_API_USE_CLIENT_CERTIFICATE environment variable is "true", then the `client_cert_source` property can be used to provide client certificate for mutual TLS transport. If not provided, the default SSL client certificate will be used if present. If GOOGLE_API_USE_CLIENT_CERTIFICATE is "false" or not set, no client certificate will be used.
`client_info`	`google.api_core.gapic_v1.client_info.ClientInfo` The client info used to send a user-agent string along with API requests. If `None`, then default info will be used. Generally, you only need to set this if you're developing your own client library.

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

exit

__exit__(type, value, traceback)

Releases underlying transport's resources.

common_billing_account_path

common_billing_account_path(billing_account: str)

Returns a fully-qualified billing_account string.

common_folder_path

common_folder_path(folder: str)

Returns a fully-qualified folder string.

common_location_path

common_location_path(project: str, location: str)

Returns a fully-qualified location string.

common_organization_path

common_organization_path(organization: str)

Returns a fully-qualified organization string.

common_project_path

common_project_path(project: str)

Returns a fully-qualified project string.

create_entry

create_entry(request: Optional[Union[google.cloud.datacatalog_v1.types.datacatalog.CreateEntryRequest, dict]] = None, *, parent: Optional[str] = None, entry_id: Optional[str] = None, entry: Optional[google.cloud.datacatalog_v1.types.datacatalog.Entry] = None, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())

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.

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_ = "SERVICE"
    entry.integrated_system = "DATAPROC_METASTORE"
    entry.gcs_fileset_spec.file_patterns = ['file_patterns_value_1', 'file_patterns_value_2']

    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: Optional[Union[google.cloud.datacatalog_v1.types.datacatalog.CreateEntryGroupRequest, dict]] = None, *, parent: Optional[str] = None, entry_group_id: Optional[str] = None, entry_group: Optional[google.cloud.datacatalog_v1.types.datacatalog.EntryGroup] = None, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())

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.

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: Optional[Union[google.cloud.datacatalog_v1.types.datacatalog.CreateTagRequest, dict]] = None, *, parent: Optional[str] = None, tag: Optional[google.cloud.datacatalog_v1.types.tags.Tag] = None, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())

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.

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: Optional[Union[google.cloud.datacatalog_v1.types.datacatalog.CreateTagTemplateRequest, dict]] = None, *, parent: Optional[str] = None, tag_template_id: Optional[str] = None, tag_template: Optional[google.cloud.datacatalog_v1.types.tags.TagTemplate] = None, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())

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.

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 GCP 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: Optional[Union[google.cloud.datacatalog_v1.types.datacatalog.CreateTagTemplateFieldRequest, dict]] = None, *, parent: Optional[str] = None, tag_template_field_id: Optional[str] = None, tag_template_field: Optional[google.cloud.datacatalog_v1.types.tags.TagTemplateField] = None, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())

Creates a field in a tag template.

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: Optional[Union[google.cloud.datacatalog_v1.types.datacatalog.DeleteEntryRequest, dict]] = None, *, name: Optional[str] = None, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())

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>__.

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: Optional[Union[google.cloud.datacatalog_v1.types.datacatalog.DeleteEntryGroupRequest, dict]] = None, *, name: Optional[str] = None, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())

Deletes an entry group.

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_tag

delete_tag(request: Optional[Union[google.cloud.datacatalog_v1.types.datacatalog.DeleteTagRequest, dict]] = None, *, name: Optional[str] = None, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())

Deletes a tag.

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: Optional[Union[google.cloud.datacatalog_v1.types.datacatalog.DeleteTagTemplateRequest, dict]] = None, *, name: Optional[str] = None, force: Optional[bool] = None, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())

Deletes a tag template and all tags that use it.

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: Optional[Union[google.cloud.datacatalog_v1.types.datacatalog.DeleteTagTemplateFieldRequest, dict]] = None, *, name: Optional[str] = None, force: Optional[bool] = None, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())

Deletes a field in a tag template and all uses of this field from the tags based on this template.

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)

Returns a fully-qualified entry_group string.

entry_path

entry_path(project: str, location: str, entry_group: str, entry: 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: Optional[Union[google.cloud.datacatalog_v1.types.datacatalog.GetEntryRequest, dict]] = None, *, name: Optional[str] = None, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())

Gets an entry.

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

get_entry_group

get_entry_group(request: Optional[Union[google.cloud.datacatalog_v1.types.datacatalog.GetEntryGroupRequest, dict]] = None, *, name: Optional[str] = None, read_mask: Optional[google.protobuf.field_mask_pb2.FieldMask] = None, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())

Gets an entry group.

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: Optional[Union[google.iam.v1.iam_policy_pb2.GetIamPolicyRequest, dict]] = None, *, resource: Optional[str] = None, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())

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.

from google.cloud import datacatalog_v1

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

    # Initialize request argument(s)
    request = datacatalog_v1.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 Defines an Identity and Access Management (IAM) policy. It is used to specify access control policies for Cloud Platform resources. A Policy is a collection of bindings. A binding binds one or more members to a single role. Members can be user accounts, service accounts, Google groups, and domains (such as G Suite). A role is a named list of permissions (defined by IAM or configured by users). A binding can optionally specify a condition, which is a logic expression that further constrains the role binding based on attributes about the request and/or target resource. **JSON Example** { "bindings": [ { "role": "roles/resourcemanager.organizationAdmin", "members": [ "user:mike@example.com", "group:admins@example.com", "domain:google.com", "serviceAccount:my-project-id@appspot.gserviceaccount.com" ] }, { "role": "roles/resourcemanager.organizationViewer", "members": ["user:eve@example.com"], "condition": { "title": "expirable access", "description": "Does not grant access after Sep 2020", "expression": "request.time < timestamp('2020-10-01t00:00:00.000z')",="" }="" }="" ]="" }="" **yaml="" example**="" bindings:="" -="" members:="" -="" user:\="" mike@example.com="" -="" group:\="" admins@example.com="" -="" domain:google.com="" -="" serviceaccount:\="" my-project-id@appspot.gserviceaccount.com="" role:="" roles/resourcemanager.organizationadmin="" -="" members:="" -="" user:\="" eve@example.com="" 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')="" for="" a="" description="" of="" iam="" and="" its="" features,="" see="" the="" [iam="" developer's="" guide](\="">

get_mtls_endpoint_and_cert_source

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

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

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

The API endpoint is determined in the following order: (1) if client_options.api_endpoint if provided, use the provided one. (2) if GOOGLE_API_USE_CLIENT_CERTIFICATE environment variable is "always", use the default mTLS endpoint; if the environment variabel 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_tag_template

get_tag_template(request: Optional[Union[google.cloud.datacatalog_v1.types.datacatalog.GetTagTemplateRequest, dict]] = None, *, name: Optional[str] = None, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())

Gets a tag template.

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

list_entries

list_entries(request: Optional[Union[google.cloud.datacatalog_v1.types.datacatalog.ListEntriesRequest, dict]] = None, *, parent: Optional[str] = None, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())

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.

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: Optional[Union[google.cloud.datacatalog_v1.types.datacatalog.ListEntryGroupsRequest, dict]] = None, *, parent: Optional[str] = None, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())

Lists entry groups.

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_tags

list_tags(request: Optional[Union[google.cloud.datacatalog_v1.types.datacatalog.ListTagsRequest, dict]] = None, *, parent: Optional[str] = None, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())

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

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: Optional[Union[google.cloud.datacatalog_v1.types.datacatalog.LookupEntryRequest, dict]] = None, *, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())

Gets an entry by its target resource name. The resource name comes from the source Google Cloud Platform service.

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

modify_entry_contacts

modify_entry_contacts(request: Optional[Union[google.cloud.datacatalog_v1.types.datacatalog.ModifyEntryContactsRequest, dict]] = None, *, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())

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.

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: Optional[Union[google.cloud.datacatalog_v1.types.datacatalog.ModifyEntryOverviewRequest, dict]] = None, *, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())

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.

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)

Parse a billing_account path into its component segments.

parse_common_folder_path

parse_common_folder_path(path: str)

Parse a folder path into its component segments.

parse_common_location_path

parse_common_location_path(path: str)

Parse a location path into its component segments.

parse_common_organization_path

parse_common_organization_path(path: str)

Parse a organization path into its component segments.

parse_common_project_path

parse_common_project_path(path: str)

Parse a project path into its component segments.

parse_entry_group_path

parse_entry_group_path(path: str)

Parses a entry_group path into its component segments.

parse_entry_path

parse_entry_path(path: str)

Parses a entry path into its component segments.

parse_tag_path

parse_tag_path(path: 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)

Parses a tag_template_field_enum_value path into its component segments.

parse_tag_template_field_path

parse_tag_template_field_path(path: str)

Parses a tag_template_field path into its component segments.

parse_tag_template_path

parse_tag_template_path(path: str)

Parses a tag_template path into its component segments.

rename_tag_template_field

rename_tag_template_field(request: Optional[Union[google.cloud.datacatalog_v1.types.datacatalog.RenameTagTemplateFieldRequest, dict]] = None, *, name: Optional[str] = None, new_tag_template_field_id: Optional[str] = None, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())

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.

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: Optional[Union[google.cloud.datacatalog_v1.types.datacatalog.RenameTagTemplateFieldEnumValueRequest, dict]] = None, *, name: Optional[str] = None, new_enum_value_display_name: Optional[str] = None, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())

Renames an enum value in a tag template. Within a single enum field, enum values must be unique.

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: Optional[Union[google.cloud.datacatalog_v1.types.datacatalog.SearchCatalogRequest, dict]] = None, *, scope: Optional[google.cloud.datacatalog_v1.types.datacatalog.SearchCatalogRequest.Scope] = None, query: Optional[str] = None, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())

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.

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: Optional[Union[google.iam.v1.iam_policy_pb2.SetIamPolicyRequest, dict]] = None, *, resource: Optional[str] = None, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())

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.

from google.cloud import datacatalog_v1

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

    # Initialize request argument(s)
    request = datacatalog_v1.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

star_entry

star_entry(request: Optional[Union[google.cloud.datacatalog_v1.types.datacatalog.StarEntryRequest, dict]] = None, *, name: Optional[str] = None, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())

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

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)

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,
)

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)

Returns a fully-qualified tag_template_field string.

tag_template_path

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

Returns a fully-qualified tag_template string.

test_iam_permissions

test_iam_permissions(request: Optional[Union[google.iam.v1.iam_policy_pb2.TestIamPermissionsRequest, dict]] = None, *, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())

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.

from google.cloud import datacatalog_v1

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

    # Initialize request argument(s)
    request = datacatalog_v1.TestIamPermissionsRequest(
        resource="resource_value",
        permissions=['permissions_value_1', 'permissions_value_2'],
    )

    # 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: Optional[Union[google.cloud.datacatalog_v1.types.datacatalog.UnstarEntryRequest, dict]] = None, *, name: Optional[str] = None, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())

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

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: Optional[Union[google.cloud.datacatalog_v1.types.datacatalog.UpdateEntryRequest, dict]] = None, *, entry: Optional[google.cloud.datacatalog_v1.types.datacatalog.Entry] = None, update_mask: Optional[google.protobuf.field_mask_pb2.FieldMask] = None, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())

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>__.

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_ = "SERVICE"
    entry.integrated_system = "DATAPROC_METASTORE"
    entry.gcs_fileset_spec.file_patterns = ['file_patterns_value_1', 'file_patterns_value_2']

    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

update_entry_group

update_entry_group(request: Optional[Union[google.cloud.datacatalog_v1.types.datacatalog.UpdateEntryGroupRequest, dict]] = None, *, entry_group: Optional[google.cloud.datacatalog_v1.types.datacatalog.EntryGroup] = None, update_mask: Optional[google.protobuf.field_mask_pb2.FieldMask] = None, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())

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>__.

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: Optional[Union[google.cloud.datacatalog_v1.types.datacatalog.UpdateTagRequest, dict]] = None, *, tag: Optional[google.cloud.datacatalog_v1.types.tags.Tag] = None, update_mask: Optional[google.protobuf.field_mask_pb2.FieldMask] = None, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())

Updates an existing tag.

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: Optional[Union[google.cloud.datacatalog_v1.types.datacatalog.UpdateTagTemplateRequest, dict]] = None, *, tag_template: Optional[google.cloud.datacatalog_v1.types.tags.TagTemplate] = None, update_mask: Optional[google.protobuf.field_mask_pb2.FieldMask] = None, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())

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>__.

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

update_tag_template_field

update_tag_template_field(request: Optional[Union[google.cloud.datacatalog_v1.types.datacatalog.UpdateTagTemplateFieldRequest, dict]] = None, *, name: Optional[str] = None, tag_template_field: Optional[google.cloud.datacatalog_v1.types.tags.TagTemplateField] = None, update_mask: Optional[google.protobuf.field_mask_pb2.FieldMask] = None, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())

Updates a field in a tag template.

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

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.