AnalyticsHubServiceAsyncClient(*, credentials: Optional[google.auth.credentials.Credentials] = None, transport: Union[str, google.cloud.bigquery_data_exchange_v1beta1.services.analytics_hub_service.transports.base.AnalyticsHubServiceTransport] = 'grpc_asyncio', 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.
Type | Description |
AnalyticsHubServiceTransport | The transport used by the client instance. |
Methods
AnalyticsHubServiceAsyncClient
AnalyticsHubServiceAsyncClient(*, credentials: Optional[google.auth.credentials.Credentials] = None, transport: Union[str, google.cloud.bigquery_data_exchange_v1beta1.services.analytics_hub_service.transports.base.AnalyticsHubServiceTransport] = 'grpc_asyncio', 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.
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,
The transport to use. If set to None, a transport is chosen automatically. |
client_options |
ClientOptions
Custom options for the client. It won't take effect if a |
Type | Description |
google.auth.exceptions.MutualTlsChannelError | If mutual TLS transport creation failed for any reason. |
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
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)
Name | Description |
request |
Union[google.cloud.bigquery_data_exchange_v1beta1.types.CreateDataExchangeRequest, dict]
The request object. Message for creating a DataExchange. |
parent |
Required. The parent resource path of the DataExchange. e.g. |
data_exchange |
DataExchange
Required. The DataExchange to create. This corresponds to the |
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. |
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
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)
Name | Description |
request |
Union[google.cloud.bigquery_data_exchange_v1beta1.types.CreateListingRequest, dict]
The request object. Message for creating a Listing. |
parent |
Required. The parent resource path of the listing. e.g. |
listing |
Listing
Required. The listing to create. This corresponds to the |
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. |
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
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)
Name | Description |
request |
Union[google.cloud.bigquery_data_exchange_v1beta1.types.DeleteDataExchangeRequest, dict]
The request object. Message for deleting a DataExchange. |
name |
Required. Resource name of the DataExchange to delete. e.g. |
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
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)
Name | Description |
request |
Union[google.cloud.bigquery_data_exchange_v1beta1.types.DeleteListingRequest, dict]
The request object. Message for deleting a Listing. |
name |
Required. Resource name of the listing to delete. e.g. |
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.
Name | Description |
filename |
str
The path to the service account private key json file. |
Type | Description |
AnalyticsHubServiceAsyncClient | 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.
Name | Description |
info |
dict
The service account private key info. |
Type | Description |
AnalyticsHubServiceAsyncClient | 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.
Name | Description |
filename |
str
The path to the service account private key json file. |
Type | Description |
AnalyticsHubServiceAsyncClient | 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
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)
Name | Description |
request |
Union[google.cloud.bigquery_data_exchange_v1beta1.types.GetDataExchangeRequest, dict]
The request object. Message for getting a DataExchange. |
name |
Required. The resource name of the DataExchange. e.g. |
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. |
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
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)
Name | Description |
request |
Union[google.iam.v1.iam_policy_pb2.GetIamPolicyRequest, dict]
The request object. Request message for |
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. |
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
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)
Name | Description |
request |
Union[google.cloud.bigquery_data_exchange_v1beta1.types.GetListingRequest, dict]
The request object. Message for getting a Listing. |
name |
Required. The resource name of the listing. e.g. |
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. |
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.
Name | Description |
client_options |
google.api_core.client_options.ClientOptions
Custom options for the client. Only the |
Type | Description |
google.auth.exceptions.MutualTLSChannelError | If any errors happen. |
Type | Description |
Tuple[str, Callable[[], Tuple[bytes, bytes]]] | returns the API endpoint and the client cert source to use. |
get_transport_class
get_transport_class()
Returns an appropriate transport class.
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
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)
Name | Description |
request |
Union[google.cloud.bigquery_data_exchange_v1beta1.types.ListDataExchangesRequest, dict]
The request object. Message for requesting list of DataExchanges. |
parent |
Required. The parent resource path of the DataExchanges. e.g. |
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. |
Type | Description |
google.cloud.bigquery_data_exchange_v1beta1.services.analytics_hub_service.pagers.ListDataExchangesAsyncPager | 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
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)
Name | Description |
request |
Union[google.cloud.bigquery_data_exchange_v1beta1.types.ListListingsRequest, dict]
The request object. Message for requesting list of Listings. |
parent |
Required. The parent resource path of the listing. e.g. |
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. |
Type | Description |
google.cloud.bigquery_data_exchange_v1beta1.services.analytics_hub_service.pagers.ListListingsAsyncPager | 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
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)
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 |
Required. The organization resource path of the projects containing DataExchanges. e.g. |
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. |
Type | Description |
google.cloud.bigquery_data_exchange_v1beta1.services.analytics_hub_service.pagers.ListOrgDataExchangesAsyncPager | 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
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)
Name | Description |
request |
Union[google.iam.v1.iam_policy_pb2.SetIamPolicyRequest, dict]
The request object. Request message for |
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. |
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](\=""> |
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
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)
Name | Description |
request |
Union[google.cloud.bigquery_data_exchange_v1beta1.types.SubscribeListingRequest, dict]
The request object. Message for subscribing a Listing. |
name |
Required. Resource name of the listing to subscribe to. e.g. |
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. |
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
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_value_1', 'permissions_value_2'],
)
# Make the request
response = await client.test_iam_permissions(request=request)
# Handle the response
print(response)
Name | Description |
request |
Union[google.iam.v1.iam_policy_pb2.TestIamPermissionsRequest, dict]
The request object. Request message for |
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. |
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
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)
Name | Description |
request |
Union[google.cloud.bigquery_data_exchange_v1beta1.types.UpdateDataExchangeRequest, dict]
The request object. Message for updating a DataExchange. |
data_exchange |
DataExchange
Required. The DataExchange to update. This corresponds to the |
update_mask |
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 |
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. |
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
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)
Name | Description |
request |
Union[google.cloud.bigquery_data_exchange_v1beta1.types.UpdateListingRequest, dict]
The request object. Message for updating a Listing. |
listing |
Listing
Required. The listing to update. This corresponds to the |
update_mask |
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 |
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. |
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. |