Class CatalogServiceClient (2.4.0)

The primary resources offered by this service are EntryGroups, EntryTypes, AspectTypes, and Entries. They collectively let data administrators organize, manage, secure, and catalog data located across cloud projects in their organization in a variety of storage systems, including Cloud Storage and BigQuery.

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 catalog service client.

Releases underlying transport's resources.

Returns a fully-qualified aspect_type string.

Cancels a metadata job.

If you cancel a metadata import job that is in progress, the changes in the job might be partially applied. We recommend that you reset the state of the entry groups in your project by running another metadata job that reverts the changes from the canceled job.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import dataplex_v1

def sample_cancel_metadata_job():
    # Create a client
    client = dataplex_v1.CatalogServiceClient()

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

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

Starts asynchronous cancellation on a long-running operation.

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

Returns a fully-qualified billing_account string.

Returns a fully-qualified folder string.

Returns a fully-qualified location string.

Returns a fully-qualified organization string.

Returns a fully-qualified project string.

Creates an AspectType.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import dataplex_v1

def sample_create_aspect_type():
    # Create a client
    client = dataplex_v1.CatalogServiceClient()

    # Initialize request argument(s)
    aspect_type = dataplex_v1.AspectType()
    aspect_type.metadata_template.name = "name_value"
    aspect_type.metadata_template.type_ = "type__value"

    request = dataplex_v1.CreateAspectTypeRequest(
        parent="parent_value",
        aspect_type_id="aspect_type_id_value",
        aspect_type=aspect_type,
    )

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

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

    response = operation.result()

    # Handle the response
    print(response)

Creates 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 dataplex_v1

def sample_create_entry():
    # Create a client
    client = dataplex_v1.CatalogServiceClient()

    # Initialize request argument(s)
    entry = dataplex_v1.Entry()
    entry.entry_type = "entry_type_value"

    request = dataplex_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)

Creates 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 dataplex_v1

def sample_create_entry_group():
    # Create a client
    client = dataplex_v1.CatalogServiceClient()

    # Initialize request argument(s)
    request = dataplex_v1.CreateEntryGroupRequest(
        parent="parent_value",
        entry_group_id="entry_group_id_value",
    )

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

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

    response = operation.result()

    # Handle the response
    print(response)

Creates an EntryType.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import dataplex_v1

def sample_create_entry_type():
    # Create a client
    client = dataplex_v1.CatalogServiceClient()

    # Initialize request argument(s)
    request = dataplex_v1.CreateEntryTypeRequest(
        parent="parent_value",
        entry_type_id="entry_type_id_value",
    )

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

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

    response = operation.result()

    # Handle the response
    print(response)

Creates a metadata job. For example, use a metadata job to import Dataplex Catalog entries and aspects from a third-party system into Dataplex.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import dataplex_v1

def sample_create_metadata_job():
    # Create a client
    client = dataplex_v1.CatalogServiceClient()

    # Initialize request argument(s)
    metadata_job = dataplex_v1.MetadataJob()
    metadata_job.import_spec.scope.entry_groups = ['entry_groups_value1', 'entry_groups_value2']
    metadata_job.import_spec.scope.entry_types = ['entry_types_value1', 'entry_types_value2']
    metadata_job.import_spec.entry_sync_mode = "INCREMENTAL"
    metadata_job.import_spec.aspect_sync_mode = "INCREMENTAL"
    metadata_job.type_ = "IMPORT"

    request = dataplex_v1.CreateMetadataJobRequest(
        parent="parent_value",
        metadata_job=metadata_job,
    )

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

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

    response = operation.result()

    # Handle the response
    print(response)

Deletes an AspectType.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import dataplex_v1

def sample_delete_aspect_type():
    # Create a client
    client = dataplex_v1.CatalogServiceClient()

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

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

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

    response = operation.result()

    # Handle the response
    print(response)

Deletes 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 dataplex_v1

def sample_delete_entry():
    # Create a client
    client = dataplex_v1.CatalogServiceClient()

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

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

    # Handle the response
    print(response)

Deletes 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 dataplex_v1

def sample_delete_entry_group():
    # Create a client
    client = dataplex_v1.CatalogServiceClient()

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

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

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

    response = operation.result()

    # Handle the response
    print(response)

Deletes an EntryType.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import dataplex_v1

def sample_delete_entry_type():
    # Create a client
    client = dataplex_v1.CatalogServiceClient()

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

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

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

    response = operation.result()

    # Handle the response
    print(response)

Deletes a long-running operation.

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

Returns a fully-qualified entry_group string.

Returns a fully-qualified entry string.

Returns a fully-qualified entry_type 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 AspectType.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import dataplex_v1

def sample_get_aspect_type():
    # Create a client
    client = dataplex_v1.CatalogServiceClient()

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

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

    # Handle the response
    print(response)

Gets an Entry.

Caution: The BigQuery metadata that is stored in Dataplex Catalog is changing. For more information, see Changes to BigQuery metadata stored in Dataplex Catalog <https://cloud.google.com/dataplex/docs/biqquery-metadata-changes>__.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import dataplex_v1

def sample_get_entry():
    # Create a client
    client = dataplex_v1.CatalogServiceClient()

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

    # Make the request
    response = 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 dataplex_v1

def sample_get_entry_group():
    # Create a client
    client = dataplex_v1.CatalogServiceClient()

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

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

    # Handle the response
    print(response)

Gets an EntryType.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import dataplex_v1

def sample_get_entry_type():
    # Create a client
    client = dataplex_v1.CatalogServiceClient()

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

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

    # Handle the response
    print(response)

Gets information about a location.

Gets a metadata job.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import dataplex_v1

def sample_get_metadata_job():
    # Create a client
    client = dataplex_v1.CatalogServiceClient()

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

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

    # Handle the response
    print(response)

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

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

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

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

Gets the latest state of a long-running operation.

Lists AspectType resources in a project and location.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import dataplex_v1

def sample_list_aspect_types():
    # Create a client
    client = dataplex_v1.CatalogServiceClient()

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

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

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

Lists Entries within 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 dataplex_v1

def sample_list_entries():
    # Create a client
    client = dataplex_v1.CatalogServiceClient()

    # Initialize request argument(s)
    request = dataplex_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)

Lists EntryGroup resources in a project and location.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import dataplex_v1

def sample_list_entry_groups():
    # Create a client
    client = dataplex_v1.CatalogServiceClient()

    # Initialize request argument(s)
    request = dataplex_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)

Lists EntryType resources in a project and location.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import dataplex_v1

def sample_list_entry_types():
    # Create a client
    client = dataplex_v1.CatalogServiceClient()

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

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

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

Lists information about the supported locations for this service.

Lists metadata jobs.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import dataplex_v1

def sample_list_metadata_jobs():
    # Create a client
    client = dataplex_v1.CatalogServiceClient()

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

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

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

Lists operations that match the specified filter in the request.

Looks up a single Entry by name using the permission on the source system.

Caution: The BigQuery metadata that is stored in Dataplex Catalog is changing. For more information, see Changes to BigQuery metadata stored in Dataplex Catalog <https://cloud.google.com/dataplex/docs/biqquery-metadata-changes>__.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import dataplex_v1

def sample_lookup_entry():
    # Create a client
    client = dataplex_v1.CatalogServiceClient()

    # Initialize request argument(s)
    request = dataplex_v1.LookupEntryRequest(
        name="name_value",
        entry="entry_value",
    )

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

    # Handle the response
    print(response)

Returns a fully-qualified metadata_job string.

Parses a aspect_type path into its component segments.

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 entry_type path into its component segments.

Parses a metadata_job path into its component segments.

Searches for Entries matching the given query and scope.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import dataplex_v1

def sample_search_entries():
    # Create a client
    client = dataplex_v1.CatalogServiceClient()

    # Initialize request argument(s)
    request = dataplex_v1.SearchEntriesRequest(
        name="name_value",
        query="query_value",
    )

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

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

Updates an AspectType.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import dataplex_v1

def sample_update_aspect_type():
    # Create a client
    client = dataplex_v1.CatalogServiceClient()

    # Initialize request argument(s)
    aspect_type = dataplex_v1.AspectType()
    aspect_type.metadata_template.name = "name_value"
    aspect_type.metadata_template.type_ = "type__value"

    request = dataplex_v1.UpdateAspectTypeRequest(
        aspect_type=aspect_type,
    )

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

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

    response = operation.result()

    # Handle the response
    print(response)

Updates 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 dataplex_v1

def sample_update_entry():
    # Create a client
    client = dataplex_v1.CatalogServiceClient()

    # Initialize request argument(s)
    entry = dataplex_v1.Entry()
    entry.entry_type = "entry_type_value"

    request = dataplex_v1.UpdateEntryRequest(
        entry=entry,
    )

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

    # Handle the response
    print(response)

Updates 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 dataplex_v1

def sample_update_entry_group():
    # Create a client
    client = dataplex_v1.CatalogServiceClient()

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

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

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

    response = operation.result()

    # Handle the response
    print(response)

Updates an EntryType.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import dataplex_v1

def sample_update_entry_type():
    # Create a client
    client = dataplex_v1.CatalogServiceClient()

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

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

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

    response = operation.result()

    # Handle the response
    print(response)