Class AnalyticsHubServiceAsyncClient (0.5.15)

The AnalyticsHubService API facilitates data sharing within and across organizations. It allows data providers to publish listings that reference shared datasets. With Analytics Hub, users can discover and search for listings that they have access to. Subscribers can view and subscribe to listings. When you subscribe to a listing, Analytics Hub creates a linked dataset in your project.

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 analytics hub service async client.

Returns a fully-qualified billing_account string.

Returns a fully-qualified folder string.

Returns a fully-qualified location string.

Returns a fully-qualified organization string.

Returns a fully-qualified project string.

Creates a new data exchange.

# 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 bigquery_data_exchange_v1beta1

async def sample_create_data_exchange():
    # Create a client
    client = bigquery_data_exchange_v1beta1.AnalyticsHubServiceAsyncClient()

    # Initialize request argument(s)
    data_exchange = bigquery_data_exchange_v1beta1.DataExchange()
    data_exchange.display_name = "display_name_value"

    request = bigquery_data_exchange_v1beta1.CreateDataExchangeRequest(
        parent="parent_value",
        data_exchange_id="data_exchange_id_value",
        data_exchange=data_exchange,
    )

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

    # Handle the response
    print(response)

Creates a new listing.

# 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 bigquery_data_exchange_v1beta1

async def sample_create_listing():
    # Create a client
    client = bigquery_data_exchange_v1beta1.AnalyticsHubServiceAsyncClient()

    # Initialize request argument(s)
    listing = bigquery_data_exchange_v1beta1.Listing()
    listing.display_name = "display_name_value"

    request = bigquery_data_exchange_v1beta1.CreateListingRequest(
        parent="parent_value",
        listing_id="listing_id_value",
        listing=listing,
    )

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

    # Handle the response
    print(response)

Returns a fully-qualified data_exchange string.

Returns a fully-qualified dataset string.

Deletes an existing data exchange.

# 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 bigquery_data_exchange_v1beta1

async def sample_delete_data_exchange():
    # Create a client
    client = bigquery_data_exchange_v1beta1.AnalyticsHubServiceAsyncClient()

    # Initialize request argument(s)
    request = bigquery_data_exchange_v1beta1.DeleteDataExchangeRequest(
        name="name_value",
    )

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

Deletes a listing.

# 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 bigquery_data_exchange_v1beta1

async def sample_delete_listing():
    # Create a client
    client = bigquery_data_exchange_v1beta1.AnalyticsHubServiceAsyncClient()

    # Initialize request argument(s)
    request = bigquery_data_exchange_v1beta1.DeleteListingRequest(
        name="name_value",
    )

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

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 the details of a data exchange.

# 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 bigquery_data_exchange_v1beta1

async def sample_get_data_exchange():
    # Create a client
    client = bigquery_data_exchange_v1beta1.AnalyticsHubServiceAsyncClient()

    # Initialize request argument(s)
    request = bigquery_data_exchange_v1beta1.GetDataExchangeRequest(
        name="name_value",
    )

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

    # Handle the response
    print(response)

Gets the IAM policy.

# 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 bigquery_data_exchange_v1beta1
from google.iam.v1 import iam_policy_pb2  # type: ignore

async def sample_get_iam_policy():
    # Create a client
    client = bigquery_data_exchange_v1beta1.AnalyticsHubServiceAsyncClient()

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

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

    # Handle the response
    print(response)

Gets the details of a listing.

# 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 bigquery_data_exchange_v1beta1

async def sample_get_listing():
    # Create a client
    client = bigquery_data_exchange_v1beta1.AnalyticsHubServiceAsyncClient()

    # Initialize request argument(s)
    request = bigquery_data_exchange_v1beta1.GetListingRequest(
        name="name_value",
    )

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

    # Handle the response
    print(response)

Gets information about a location.

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.

Returns an appropriate transport class.

Lists all data exchanges in a given 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 bigquery_data_exchange_v1beta1

async def sample_list_data_exchanges():
    # Create a client
    client = bigquery_data_exchange_v1beta1.AnalyticsHubServiceAsyncClient()

    # Initialize request argument(s)
    request = bigquery_data_exchange_v1beta1.ListDataExchangesRequest(
        parent="parent_value",
    )

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

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

Lists all listings in a given 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 bigquery_data_exchange_v1beta1

async def sample_list_listings():
    # Create a client
    client = bigquery_data_exchange_v1beta1.AnalyticsHubServiceAsyncClient()

    # Initialize request argument(s)
    request = bigquery_data_exchange_v1beta1.ListListingsRequest(
        parent="parent_value",
    )

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

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

Lists information about the supported locations for this service.

Lists all data exchanges from projects in a given organization 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 bigquery_data_exchange_v1beta1

async def sample_list_org_data_exchanges():
    # Create a client
    client = bigquery_data_exchange_v1beta1.AnalyticsHubServiceAsyncClient()

    # Initialize request argument(s)
    request = bigquery_data_exchange_v1beta1.ListOrgDataExchangesRequest(
        organization="organization_value",
    )

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

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

Returns a fully-qualified listing string.

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 data_exchange path into its component segments.

Parses a dataset path into its component segments.

Parses a listing path into its component segments.

Sets the IAM policy.

# 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 bigquery_data_exchange_v1beta1
from google.iam.v1 import iam_policy_pb2  # type: ignore

async def sample_set_iam_policy():
    # Create a client
    client = bigquery_data_exchange_v1beta1.AnalyticsHubServiceAsyncClient()

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

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

    # Handle the response
    print(response)

Subscribes to a listing.

Currently, with Analytics Hub, you can create listings that reference only BigQuery datasets. Upon subscription to a listing for a BigQuery dataset, Analytics Hub creates a linked dataset in the subscriber's project.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import bigquery_data_exchange_v1beta1

async def sample_subscribe_listing():
    # Create a client
    client = bigquery_data_exchange_v1beta1.AnalyticsHubServiceAsyncClient()

    # Initialize request argument(s)
    destination_dataset = bigquery_data_exchange_v1beta1.DestinationDataset()
    destination_dataset.dataset_reference.dataset_id = "dataset_id_value"
    destination_dataset.dataset_reference.project_id = "project_id_value"
    destination_dataset.location = "location_value"

    request = bigquery_data_exchange_v1beta1.SubscribeListingRequest(
        destination_dataset=destination_dataset,
        name="name_value",
    )

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

    # Handle the response
    print(response)

Returns the permissions that a caller has.

# 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 bigquery_data_exchange_v1beta1
from google.iam.v1 import iam_policy_pb2  # type: ignore

async def sample_test_iam_permissions():
    # Create a client
    client = bigquery_data_exchange_v1beta1.AnalyticsHubServiceAsyncClient()

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

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

    # Handle the response
    print(response)

Updates an existing data exchange.

# 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 bigquery_data_exchange_v1beta1

async def sample_update_data_exchange():
    # Create a client
    client = bigquery_data_exchange_v1beta1.AnalyticsHubServiceAsyncClient()

    # Initialize request argument(s)
    data_exchange = bigquery_data_exchange_v1beta1.DataExchange()
    data_exchange.display_name = "display_name_value"

    request = bigquery_data_exchange_v1beta1.UpdateDataExchangeRequest(
        data_exchange=data_exchange,
    )

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

    # Handle the response
    print(response)

Updates an existing listing.

# 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 bigquery_data_exchange_v1beta1

async def sample_update_listing():
    # Create a client
    client = bigquery_data_exchange_v1beta1.AnalyticsHubServiceAsyncClient()

    # Initialize request argument(s)
    listing = bigquery_data_exchange_v1beta1.Listing()
    listing.display_name = "display_name_value"

    request = bigquery_data_exchange_v1beta1.UpdateListingRequest(
        listing=listing,
    )

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

    # Handle the response
    print(response)