Class AnalyticsHubServiceClient (0.1.1)

AnalyticsHubServiceClient(*, credentials: Optional[google.auth.credentials.Credentials] = None, transport: Optional[Union[str, google.cloud.bigquery_data_exchange_v1beta1.services.analytics_hub_service.transports.base.AnalyticsHubServiceTransport]] = 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>)

The AnalyticsHubService API facilitates data sharing within and across organizations. It allows data providers to publish Listings --- a discoverable and searchable SKU representing a dataset. Data consumers can subscribe to Listings. Upon subscription, AnalyticsHub provisions a "Linked Datasets" surfacing the data in the consumer's project.

Properties

transport

Returns the transport used by the client instance.

Returns

Type	Description
`AnalyticsHubServiceTransport`	The transport used by the client instance.

Methods

AnalyticsHubServiceClient

AnalyticsHubServiceClient(*, credentials: Optional[google.auth.credentials.Credentials] = None, transport: Optional[Union[str, google.cloud.bigquery_data_exchange_v1beta1.services.analytics_hub_service.transports.base.AnalyticsHubServiceTransport]] = 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 analytics hub service 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, AnalyticsHubServiceTransport]` 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_data_exchange

create_data_exchange(request: Optional[Union[google.cloud.bigquery_data_exchange_v1beta1.types.dataexchange.CreateDataExchangeRequest, dict]] = None, *, parent: Optional[str] = None, data_exchange: Optional[google.cloud.bigquery_data_exchange_v1beta1.types.dataexchange.DataExchange] = 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 new DataExchange in a given project and location.

from google.cloud import bigquery_data_exchange_v1beta1

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

    # 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 = client.create_data_exchange(request=request)

    # Handle the response
    print(response)

Parameters

Name	Description
`request`	`Union[google.cloud.bigquery_data_exchange_v1beta1.types.CreateDataExchangeRequest, dict]` The request object. Message for creating a DataExchange.
`parent`	`str` Required. The parent resource path of the DataExchange. e.g. `projects/myproject/locations/US`. This corresponds to the `parent` field on the `request` instance; if `request` is provided, this should not be set.
`data_exchange`	`google.cloud.bigquery_data_exchange_v1beta1.types.DataExchange` Required. The DataExchange to create. This corresponds to the `data_exchange` 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.bigquery_data_exchange_v1beta1.types.DataExchange`	A data exchange is a container that enables data sharing. It contains a set of listings of the data sources along with descriptive information of the data exchange.

create_listing

create_listing(request: Optional[Union[google.cloud.bigquery_data_exchange_v1beta1.types.dataexchange.CreateListingRequest, dict]] = None, *, parent: Optional[str] = None, listing: Optional[google.cloud.bigquery_data_exchange_v1beta1.types.dataexchange.Listing] = 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 new Listing in a given project and location.

from google.cloud import bigquery_data_exchange_v1beta1

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

    # 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 = client.create_listing(request=request)

    # Handle the response
    print(response)

Parameters

Name	Description
`request`	`Union[google.cloud.bigquery_data_exchange_v1beta1.types.CreateListingRequest, dict]` The request object. Message for creating a Listing.
`parent`	`str` Required. The parent resource path of the listing. e.g. `projects/myproject/locations/US/dataExchanges/123`. This corresponds to the `parent` field on the `request` instance; if `request` is provided, this should not be set.
`listing`	`google.cloud.bigquery_data_exchange_v1beta1.types.Listing` Required. The listing to create. This corresponds to the `listing` 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.bigquery_data_exchange_v1beta1.types.Listing`	A listing is what gets published into a data exchange that a subscriber can subscribe to. It contains a reference to the data source along with descriptive information that will help subscribers find and subscribe the data.

data_exchange_path

data_exchange_path(project: str, location: str, data_exchange: str)

Returns a fully-qualified data_exchange string.

dataset_path

dataset_path(project: str, dataset: str)

Returns a fully-qualified dataset string.

delete_data_exchange

delete_data_exchange(request: Optional[Union[google.cloud.bigquery_data_exchange_v1beta1.types.dataexchange.DeleteDataExchangeRequest, 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 single DataExchange.

from google.cloud import bigquery_data_exchange_v1beta1

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

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

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

Parameters

Name	Description
`request`	`Union[google.cloud.bigquery_data_exchange_v1beta1.types.DeleteDataExchangeRequest, dict]` The request object. Message for deleting a DataExchange.
`name`	`str` Required. Resource name of the DataExchange to delete. e.g. `projects/myproject/locations/US/dataExchanges/123`. 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_listing

delete_listing(request: Optional[Union[google.cloud.bigquery_data_exchange_v1beta1.types.dataexchange.DeleteListingRequest, 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 single Listing, as long as there are no subscriptions associated with the source of this Listing.

from google.cloud import bigquery_data_exchange_v1beta1

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

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

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

Parameters

Name	Description
`request`	`Union[google.cloud.bigquery_data_exchange_v1beta1.types.DeleteListingRequest, dict]` The request object. Message for deleting a Listing.
`name`	`str` Required. Resource name of the listing to delete. e.g. `projects/myproject/locations/US/dataExchanges/123/listings/456`. 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.

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
`AnalyticsHubServiceClient`	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
`AnalyticsHubServiceClient`	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
`AnalyticsHubServiceClient`	The constructed client.

get_data_exchange

get_data_exchange(request: Optional[Union[google.cloud.bigquery_data_exchange_v1beta1.types.dataexchange.GetDataExchangeRequest, 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 details of a single DataExchange.

from google.cloud import bigquery_data_exchange_v1beta1

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

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

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

    # Handle the response
    print(response)

Parameters

Name	Description
`request`	`Union[google.cloud.bigquery_data_exchange_v1beta1.types.GetDataExchangeRequest, dict]` The request object. Message for getting a DataExchange.
`name`	`str` Required. The resource name of the DataExchange. e.g. `projects/myproject/locations/US/dataExchanges/123`. 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.bigquery_data_exchange_v1beta1.types.DataExchange`	A data exchange is a container that enables data sharing. It contains a set of listings of the data sources along with descriptive information of the data exchange.

get_iam_policy

get_iam_policy(request: Optional[Union[google.iam.v1.iam_policy_pb2.GetIamPolicyRequest, 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 the IAM policy for a dataExchange or a listing.

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

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

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

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

    # Handle the response
    print(response)

Parameters

Name	Description
`request`	`Union[google.iam.v1.iam_policy_pb2.GetIamPolicyRequest, dict]` The request object. Request message for `GetIamPolicy` method.
`retry`	`google.api_core.retry.Retry` Designation of what errors, if any, should be retried.
`timeout`	`float` The timeout for this request.
`metadata`	`Sequence[Tuple[str, str]]` Strings which should be sent along with the request as metadata.

Returns

Type Description

google.iam.v1.policy_pb2.Policy An Identity and Access Management (IAM) policy, which specifies access controls for Google Cloud resources. A Policy is a collection of bindings. A binding binds one or more members, or principals, to a single role. Principals can be user accounts, service accounts, Google groups, and domains (such as G Suite). A role is a named list of permissions; each role can be an IAM predefined role or a user-created custom role. For some types of Google Cloud resources, a binding can also specify a condition, which is a logical expression that allows access to a resource only if the expression evaluates to true. A condition can add constraints based on attributes of the request, the resource, or both. To learn which resources support conditions in their IAM policies, see the [IAM documentation](\ https://cloud.google.com/iam/help/conditions/resource-policies). **JSON example:** { "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')",="" }="" }="" ],="" "etag":="" "bwwwja0yfja=", " version":="" 3="" }="" **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')="" etag:="" bwwwja0yfja="version:" 3="" for="" a="" description="" of="" iam="" and="" its="" features,="" see="" the="" [iam="" documentation](\="">

get_listing

get_listing(request: Optional[Union[google.cloud.bigquery_data_exchange_v1beta1.types.dataexchange.GetListingRequest, 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 details of a single Listing.

from google.cloud import bigquery_data_exchange_v1beta1

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

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

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

    # Handle the response
    print(response)

Parameters

Name	Description
`request`	`Union[google.cloud.bigquery_data_exchange_v1beta1.types.GetListingRequest, dict]` The request object. Message for getting a Listing.
`name`	`str` Required. The resource name of the listing. e.g. `projects/myproject/locations/US/dataExchanges/123/listings/456`. 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.bigquery_data_exchange_v1beta1.types.Listing`	A listing is what gets published into a data exchange that a subscriber can subscribe to. It contains a reference to the data source along with descriptive information that will help subscribers find and subscribe the data.

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.

list_data_exchanges

list_data_exchanges(request: Optional[Union[google.cloud.bigquery_data_exchange_v1beta1.types.dataexchange.ListDataExchangesRequest, 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 DataExchanges in a given project and location.

from google.cloud import bigquery_data_exchange_v1beta1

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

    # 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
    for response in page_result:
        print(response)

Parameters

Name	Description
`request`	`Union[google.cloud.bigquery_data_exchange_v1beta1.types.ListDataExchangesRequest, dict]` The request object. Message for requesting list of DataExchanges.
`parent`	`str` Required. The parent resource path of the DataExchanges. e.g. `projects/myproject/locations/US`. 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.bigquery_data_exchange_v1beta1.services.analytics_hub_service.pagers.ListDataExchangesPager`	Message for response to listing DataExchanges. Iterating over this object will yield results and resolve additional pages automatically.

list_listings

list_listings(request: Optional[Union[google.cloud.bigquery_data_exchange_v1beta1.types.dataexchange.ListListingsRequest, 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 Listings in a given project and location.

from google.cloud import bigquery_data_exchange_v1beta1

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

    # 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
    for response in page_result:
        print(response)

Parameters

Name	Description
`request`	`Union[google.cloud.bigquery_data_exchange_v1beta1.types.ListListingsRequest, dict]` The request object. Message for requesting list of Listings.
`parent`	`str` Required. The parent resource path of the listing. e.g. `projects/myproject/locations/US/dataExchanges/123`. 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.bigquery_data_exchange_v1beta1.services.analytics_hub_service.pagers.ListListingsPager`	Message for response to listing Listings. Iterating over this object will yield results and resolve additional pages automatically.

list_org_data_exchanges

list_org_data_exchanges(request: Optional[Union[google.cloud.bigquery_data_exchange_v1beta1.types.dataexchange.ListOrgDataExchangesRequest, dict]] = None, *, organization: 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 DataExchanges from projects in a given organization and location.

from google.cloud import bigquery_data_exchange_v1beta1

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

    # 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
    for response in page_result:
        print(response)

Parameters

Name	Description
`request`	`Union[google.cloud.bigquery_data_exchange_v1beta1.types.ListOrgDataExchangesRequest, dict]` The request object. Message for requesting list of DataExchanges from projects in an organization and location.
`organization`	`str` Required. The organization resource path of the projects containing DataExchanges. e.g. `organizations/myorg/locations/US`. This corresponds to the `organization` 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.bigquery_data_exchange_v1beta1.services.analytics_hub_service.pagers.ListOrgDataExchangesPager`	Message for response to listing DataExchanges in an organization and location. Iterating over this object will yield results and resolve additional pages automatically.

listing_path

listing_path(project: str, location: str, data_exchange: str, listing: str)

Returns a fully-qualified listing string.

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_data_exchange_path

parse_data_exchange_path(path: str)

Parses a data_exchange path into its component segments.

parse_dataset_path

parse_dataset_path(path: str)

Parses a dataset path into its component segments.

parse_listing_path

parse_listing_path(path: str)

Parses a listing path into its component segments.

set_iam_policy

set_iam_policy(request: Optional[Union[google.iam.v1.iam_policy_pb2.SetIamPolicyRequest, 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]] = ())

Sets the IAM policy for a dataExchange or a listing.

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

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

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

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

    # Handle the response
    print(response)

Parameters

Name	Description
`request`	`Union[google.iam.v1.iam_policy_pb2.SetIamPolicyRequest, dict]` The request object. Request message for `SetIamPolicy` method.
`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

subscribe_listing

subscribe_listing(request: Optional[Union[google.cloud.bigquery_data_exchange_v1beta1.types.dataexchange.SubscribeListingRequest, 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]] = ())

Subscribes to a single Listing. Data Exchange currently supports one type of Listing: a BigQuery dataset. Upon subscription to a Listing for a BigQuery dataset, Data Exchange creates a linked dataset in the subscriber's project.

from google.cloud import bigquery_data_exchange_v1beta1

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

    # 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 = client.subscribe_listing(request=request)

    # Handle the response
    print(response)

Parameters

Name	Description
`request`	`Union[google.cloud.bigquery_data_exchange_v1beta1.types.SubscribeListingRequest, dict]` The request object. Message for subscribing a Listing.
`name`	`str` Required. Resource name of the listing to subscribe to. e.g. `projects/myproject/locations/US/dataExchanges/123/listings/456`. 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.bigquery_data_exchange_v1beta1.types.SubscribeListingResponse`	Message for response to subscribing a Listing. Empty for now.

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]] = ())

Returns the permissions that a caller has on a specified dataExchange or listing.

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

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

    # Initialize request argument(s)
    request = iam_policy_pb2.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.

update_data_exchange

update_data_exchange(request: Optional[Union[google.cloud.bigquery_data_exchange_v1beta1.types.dataexchange.UpdateDataExchangeRequest, dict]] = None, *, data_exchange: Optional[google.cloud.bigquery_data_exchange_v1beta1.types.dataexchange.DataExchange] = 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 the parameters of a single DataExchange.

from google.cloud import bigquery_data_exchange_v1beta1

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

    # 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 = client.update_data_exchange(request=request)

    # Handle the response
    print(response)

Parameters

Name	Description
`request`	`Union[google.cloud.bigquery_data_exchange_v1beta1.types.UpdateDataExchangeRequest, dict]` The request object. Message for updating a DataExchange.
`data_exchange`	`google.cloud.bigquery_data_exchange_v1beta1.types.DataExchange` Required. The DataExchange to update. This corresponds to the `data_exchange` field on the `request` instance; if `request` is provided, this should not be set.
`update_mask`	`google.protobuf.field_mask_pb2.FieldMask` Required. Field mask is used to specify the fields to be overwritten in the DataExchange resource by the update. The fields specified in the update_mask are relative to the resource, not the full request. 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.bigquery_data_exchange_v1beta1.types.DataExchange`	A data exchange is a container that enables data sharing. It contains a set of listings of the data sources along with descriptive information of the data exchange.

update_listing

update_listing(request: Optional[Union[google.cloud.bigquery_data_exchange_v1beta1.types.dataexchange.UpdateListingRequest, dict]] = None, *, listing: Optional[google.cloud.bigquery_data_exchange_v1beta1.types.dataexchange.Listing] = 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 the parameters of a single Listing.

from google.cloud import bigquery_data_exchange_v1beta1

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

    # 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 = client.update_listing(request=request)

    # Handle the response
    print(response)

Parameters

Name	Description
`request`	`Union[google.cloud.bigquery_data_exchange_v1beta1.types.UpdateListingRequest, dict]` The request object. Message for updating a Listing.
`listing`	`google.cloud.bigquery_data_exchange_v1beta1.types.Listing` Required. The listing to update. This corresponds to the `listing` field on the `request` instance; if `request` is provided, this should not be set.
`update_mask`	`google.protobuf.field_mask_pb2.FieldMask` Required. Field mask is used to specify the fields to be overwritten in the Listing resource by the update. The fields specified in the update_mask are relative to the resource, not the full request. 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.bigquery_data_exchange_v1beta1.types.Listing`	A listing is what gets published into a data exchange that a subscriber can subscribe to. It contains a reference to the data source along with descriptive information that will help subscribers find and subscribe the data.