Class DataTransferServiceAsyncClient (3.6.2)

DataTransferServiceAsyncClient(*, credentials: Optional[google.auth.credentials.Credentials] = None, transport: Union[str, google.cloud.bigquery_datatransfer_v1.services.data_transfer_service.transports.base.DataTransferServiceTransport] = '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>)

This API allows users to manage their data transfers into BigQuery.

Properties

transport

Returns the transport used by the client instance.

Returns

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

Methods

DataTransferServiceAsyncClient

DataTransferServiceAsyncClient(*, credentials: Optional[google.auth.credentials.Credentials] = None, transport: Union[str, google.cloud.bigquery_datatransfer_v1.services.data_transfer_service.transports.base.DataTransferServiceTransport] = '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 data transfer 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, .DataTransferServiceTransport]` 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 `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.

Exceptions

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

check_valid_creds

check_valid_creds(request: Optional[Union[google.cloud.bigquery_datatransfer_v1.types.datatransfer.CheckValidCredsRequest, 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]] = ())

Returns true if valid credentials exist for the given data source and requesting user.

from google.cloud import bigquery_datatransfer_v1

async def sample_check_valid_creds():
    # Create a client
    client = bigquery_datatransfer_v1.DataTransferServiceAsyncClient()

    # Initialize request argument(s)
    request = bigquery_datatransfer_v1.CheckValidCredsRequest(
        name="name_value",
    )

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

    # Handle the response
    print(response)

Parameters

Name	Description
`request`	`Union[google.cloud.bigquery_datatransfer_v1.types.CheckValidCredsRequest, dict]` The request object. A request to determine whether the user has valid credentials. This method is used to limit the number of OAuth popups in the user interface. The user id is inferred from the API call context. If the data source has the Google+ authorization type, this method returns false, as it cannot be determined whether the credentials are already valid merely based on the user id.
`name`	`str` Required. The data source in the form: `projects/{project_id}/dataSources/{data_source_id}` or `projects/{project_id}/locations/{location_id}/dataSources/{data_source_id}`. 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_datatransfer_v1.types.CheckValidCredsResponse`	A response indicating whether the credentials exist and are valid.

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_transfer_config

create_transfer_config(request: Optional[Union[google.cloud.bigquery_datatransfer_v1.types.datatransfer.CreateTransferConfigRequest, dict]] = None, *, parent: Optional[str] = None, transfer_config: Optional[google.cloud.bigquery_datatransfer_v1.types.transfer.TransferConfig] = 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 data transfer configuration.

from google.cloud import bigquery_datatransfer_v1

async def sample_create_transfer_config():
    # Create a client
    client = bigquery_datatransfer_v1.DataTransferServiceAsyncClient()

    # Initialize request argument(s)
    transfer_config = bigquery_datatransfer_v1.TransferConfig()
    transfer_config.destination_dataset_id = "destination_dataset_id_value"

    request = bigquery_datatransfer_v1.CreateTransferConfigRequest(
        parent="parent_value",
        transfer_config=transfer_config,
    )

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

    # Handle the response
    print(response)

Parameters

Name	Description
`request`	`Union[google.cloud.bigquery_datatransfer_v1.types.CreateTransferConfigRequest, dict]` The request object. A request to create a data transfer configuration. If new credentials are needed for this transfer configuration, an authorization code must be provided. If an authorization code is provided, the transfer configuration will be associated with the user id corresponding to the authorization code. Otherwise, the transfer configuration will be associated with the calling user.
`parent`	`str` Required. The BigQuery project id where the transfer configuration should be created. Must be in the format projects/{project_id}/locations/{location_id} or projects/{project_id}. If specified location and location of the destination bigquery dataset do not match - the request will fail. This corresponds to the `parent` field on the `request` instance; if `request` is provided, this should not be set.
`transfer_config`	`TransferConfig` Required. Data transfer configuration to create. This corresponds to the `transfer_config` 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_datatransfer_v1.types.TransferConfig`	Represents a data transfer configuration. A transfer configuration contains all metadata needed to perform a data transfer. For example, destination_dataset_id specifies where data should be stored. When a new transfer configuration is created, the specified destination_dataset_id is created when needed and shared with the appropriate data source service account.

data_source_path

data_source_path(project: str, data_source: str)

Returns a fully-qualified data_source string.

delete_transfer_config

delete_transfer_config(request: Optional[Union[google.cloud.bigquery_datatransfer_v1.types.datatransfer.DeleteTransferConfigRequest, 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 data transfer configuration, including any associated transfer runs and logs.

from google.cloud import bigquery_datatransfer_v1

async def sample_delete_transfer_config():
    # Create a client
    client = bigquery_datatransfer_v1.DataTransferServiceAsyncClient()

    # Initialize request argument(s)
    request = bigquery_datatransfer_v1.DeleteTransferConfigRequest(
        name="name_value",
    )

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

Parameters

Name	Description
`request`	`Union[google.cloud.bigquery_datatransfer_v1.types.DeleteTransferConfigRequest, dict]` The request object. A request to delete data transfer information. All associated transfer runs and log messages will be deleted as well.
`name`	`str` Required. The field will contain name of the resource requested, for example: `projects/{project_id}/transferConfigs/{config_id}` or `projects/{project_id}/locations/{location_id}/transferConfigs/{config_id}` 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_transfer_run

delete_transfer_run(request: Optional[Union[google.cloud.bigquery_datatransfer_v1.types.datatransfer.DeleteTransferRunRequest, 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 the specified transfer run.

from google.cloud import bigquery_datatransfer_v1

async def sample_delete_transfer_run():
    # Create a client
    client = bigquery_datatransfer_v1.DataTransferServiceAsyncClient()

    # Initialize request argument(s)
    request = bigquery_datatransfer_v1.DeleteTransferRunRequest(
        name="name_value",
    )

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

Parameters

Name	Description
`request`	`Union[google.cloud.bigquery_datatransfer_v1.types.DeleteTransferRunRequest, dict]` The request object. A request to delete data transfer run information.
`name`	`str` Required. The field will contain name of the resource requested, for example: `projects/{project_id}/transferConfigs/{config_id}/runs/{run_id}` or `projects/{project_id}/locations/{location_id}/transferConfigs/{config_id}/runs/{run_id}` 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.

enroll_data_sources

enroll_data_sources(request: Optional[Union[google.cloud.bigquery_datatransfer_v1.types.datatransfer.EnrollDataSourcesRequest, 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]] = ())

Enroll data sources in a user project. This allows users to create transfer configurations for these data sources. They will also appear in the ListDataSources RPC and as such, will appear in the BigQuery UI 'https://bigquery.cloud.google.com' (and the documents can be found at https://cloud.google.com/bigquery/bigquery-web-ui and https://cloud.google.com/bigquery/docs/working-with-transfers).

from google.cloud import bigquery_datatransfer_v1

async def sample_enroll_data_sources():
    # Create a client
    client = bigquery_datatransfer_v1.DataTransferServiceAsyncClient()

    # Initialize request argument(s)
    request = bigquery_datatransfer_v1.EnrollDataSourcesRequest(
    )

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

Parameters

Name	Description
`request`	`Union[google.cloud.bigquery_datatransfer_v1.types.EnrollDataSourcesRequest, dict]` The request object. A request to enroll a set of data sources so they are visible in the BigQuery UI's `Transfer` tab.
`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
`DataTransferServiceAsyncClient`	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
`DataTransferServiceAsyncClient`	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
`DataTransferServiceAsyncClient`	The constructed client.

get_data_source

get_data_source(request: Optional[Union[google.cloud.bigquery_datatransfer_v1.types.datatransfer.GetDataSourceRequest, 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]] = ())

Retrieves a supported data source and returns its settings.

from google.cloud import bigquery_datatransfer_v1

async def sample_get_data_source():
    # Create a client
    client = bigquery_datatransfer_v1.DataTransferServiceAsyncClient()

    # Initialize request argument(s)
    request = bigquery_datatransfer_v1.GetDataSourceRequest(
        name="name_value",
    )

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

    # Handle the response
    print(response)

Parameters

Name	Description
`request`	`Union[google.cloud.bigquery_datatransfer_v1.types.GetDataSourceRequest, dict]` The request object. A request to get data source info.
`name`	`str` Required. The field will contain name of the resource requested, for example: `projects/{project_id}/dataSources/{data_source_id}` or `projects/{project_id}/locations/{location_id}/dataSources/{data_source_id}` 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_datatransfer_v1.types.DataSource`	Defines the properties and custom parameters for a data source.

get_mtls_endpoint_and_cert_source

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

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

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

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

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

Parameter

Name	Description
`client_options`	`google.api_core.client_options.ClientOptions` Custom options for the client. Only the `api_endpoint` and `client_cert_source` properties may be used in this method.

Exceptions

Type	Description
`google.auth.exceptions.MutualTLSChannelError`	If any errors happen.

Returns

Type	Description
`Tuple[str, Callable[[], Tuple[bytes, bytes]]]`	returns the API endpoint and the client cert source to use.

get_transfer_config

get_transfer_config(request: Optional[Union[google.cloud.bigquery_datatransfer_v1.types.datatransfer.GetTransferConfigRequest, 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]] = ())

Returns information about a data transfer config.

from google.cloud import bigquery_datatransfer_v1

async def sample_get_transfer_config():
    # Create a client
    client = bigquery_datatransfer_v1.DataTransferServiceAsyncClient()

    # Initialize request argument(s)
    request = bigquery_datatransfer_v1.GetTransferConfigRequest(
        name="name_value",
    )

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

    # Handle the response
    print(response)

Parameters

Name	Description
`request`	`Union[google.cloud.bigquery_datatransfer_v1.types.GetTransferConfigRequest, dict]` The request object. A request to get data transfer information.
`name`	`str` Required. The field will contain name of the resource requested, for example: `projects/{project_id}/transferConfigs/{config_id}` or `projects/{project_id}/locations/{location_id}/transferConfigs/{config_id}` 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_datatransfer_v1.types.TransferConfig`	Represents a data transfer configuration. A transfer configuration contains all metadata needed to perform a data transfer. For example, destination_dataset_id specifies where data should be stored. When a new transfer configuration is created, the specified destination_dataset_id is created when needed and shared with the appropriate data source service account.

get_transfer_run

get_transfer_run(request: Optional[Union[google.cloud.bigquery_datatransfer_v1.types.datatransfer.GetTransferRunRequest, 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]] = ())

Returns information about the particular transfer run.

from google.cloud import bigquery_datatransfer_v1

async def sample_get_transfer_run():
    # Create a client
    client = bigquery_datatransfer_v1.DataTransferServiceAsyncClient()

    # Initialize request argument(s)
    request = bigquery_datatransfer_v1.GetTransferRunRequest(
        name="name_value",
    )

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

    # Handle the response
    print(response)

Parameters

Name	Description
`request`	`Union[google.cloud.bigquery_datatransfer_v1.types.GetTransferRunRequest, dict]` The request object. A request to get data transfer run information.
`name`	`str` Required. The field will contain name of the resource requested, for example: `projects/{project_id}/transferConfigs/{config_id}/runs/{run_id}` or `projects/{project_id}/locations/{location_id}/transferConfigs/{config_id}/runs/{run_id}` 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_datatransfer_v1.types.TransferRun`	Represents a data transfer run.

get_transport_class

get_transport_class()

Returns an appropriate transport class.

list_data_sources

list_data_sources(request: Optional[Union[google.cloud.bigquery_datatransfer_v1.types.datatransfer.ListDataSourcesRequest, 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 supported data sources and returns their settings.

from google.cloud import bigquery_datatransfer_v1

async def sample_list_data_sources():
    # Create a client
    client = bigquery_datatransfer_v1.DataTransferServiceAsyncClient()

    # Initialize request argument(s)
    request = bigquery_datatransfer_v1.ListDataSourcesRequest(
        parent="parent_value",
    )

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

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

Parameters

Name	Description
`request`	`Union[google.cloud.bigquery_datatransfer_v1.types.ListDataSourcesRequest, dict]` The request object. Request to list supported data sources and their data transfer settings.
`parent`	`str` Required. The BigQuery project id for which data sources should be returned. Must be in the form: `projects/{project_id}` or <code>projects/{project_id}/locations/{location_id} 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_datatransfer_v1.services.data_transfer_service.pagers.ListDataSourcesAsyncPager`	Returns list of supported data sources and their metadata. Iterating over this object will yield results and resolve additional pages automatically.

list_transfer_configs

list_transfer_configs(request: Optional[Union[google.cloud.bigquery_datatransfer_v1.types.datatransfer.ListTransferConfigsRequest, 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]] = ())

Returns information about all transfer configs owned by a project in the specified location.

from google.cloud import bigquery_datatransfer_v1

async def sample_list_transfer_configs():
    # Create a client
    client = bigquery_datatransfer_v1.DataTransferServiceAsyncClient()

    # Initialize request argument(s)
    request = bigquery_datatransfer_v1.ListTransferConfigsRequest(
        parent="parent_value",
    )

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

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

Parameters

Name	Description
`request`	`Union[google.cloud.bigquery_datatransfer_v1.types.ListTransferConfigsRequest, dict]` The request object. A request to list data transfers configured for a BigQuery project.
`parent`	`str` Required. The BigQuery project id for which data sources should be returned: `projects/{project_id}` or `projects/{project_id}/locations/{location_id}` 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_datatransfer_v1.services.data_transfer_service.pagers.ListTransferConfigsAsyncPager`	The returned list of pipelines in the project. Iterating over this object will yield results and resolve additional pages automatically.

list_transfer_logs

list_transfer_logs(request: Optional[Union[google.cloud.bigquery_datatransfer_v1.types.datatransfer.ListTransferLogsRequest, 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]] = ())

Returns log messages for the transfer run.

from google.cloud import bigquery_datatransfer_v1

async def sample_list_transfer_logs():
    # Create a client
    client = bigquery_datatransfer_v1.DataTransferServiceAsyncClient()

    # Initialize request argument(s)
    request = bigquery_datatransfer_v1.ListTransferLogsRequest(
        parent="parent_value",
    )

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

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

Parameters

Name	Description
`request`	`Union[google.cloud.bigquery_datatransfer_v1.types.ListTransferLogsRequest, dict]` The request object. A request to get user facing log messages associated with data transfer run.
`parent`	`str` Required. Transfer run name in the form: `projects/{project_id}/transferConfigs/{config_id}/runs/{run_id}` or `projects/{project_id}/locations/{location_id}/transferConfigs/{config_id}/runs/{run_id}` 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_datatransfer_v1.services.data_transfer_service.pagers.ListTransferLogsAsyncPager`	The returned list transfer run messages. Iterating over this object will yield results and resolve additional pages automatically.

list_transfer_runs

list_transfer_runs(request: Optional[Union[google.cloud.bigquery_datatransfer_v1.types.datatransfer.ListTransferRunsRequest, 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]] = ())

Returns information about running and completed transfer runs.

from google.cloud import bigquery_datatransfer_v1

async def sample_list_transfer_runs():
    # Create a client
    client = bigquery_datatransfer_v1.DataTransferServiceAsyncClient()

    # Initialize request argument(s)
    request = bigquery_datatransfer_v1.ListTransferRunsRequest(
        parent="parent_value",
    )

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

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

Parameters

Name	Description
`request`	`Union[google.cloud.bigquery_datatransfer_v1.types.ListTransferRunsRequest, dict]` The request object. A request to list data transfer runs.
`parent`	`str` Required. Name of transfer configuration for which transfer runs should be retrieved. Format of transfer configuration resource name is: `projects/{project_id}/transferConfigs/{config_id}` or `projects/{project_id}/locations/{location_id}/transferConfigs/{config_id}`. 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_datatransfer_v1.services.data_transfer_service.pagers.ListTransferRunsAsyncPager`	The returned list of pipelines in the project. Iterating over this object will yield results and resolve additional pages automatically.

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_source_path

parse_data_source_path(path: str)

Parses a data_source path into its component segments.

parse_run_path

parse_run_path(path: str)

Parses a run path into its component segments.

parse_transfer_config_path

parse_transfer_config_path(path: str)

Parses a transfer_config path into its component segments.

run_path

run_path(project: str, transfer_config: str, run: str)

Returns a fully-qualified run string.

schedule_transfer_runs

schedule_transfer_runs(request: Optional[Union[google.cloud.bigquery_datatransfer_v1.types.datatransfer.ScheduleTransferRunsRequest, dict]] = None, *, parent: Optional[str] = None, start_time: Optional[google.protobuf.timestamp_pb2.Timestamp] = None, end_time: Optional[google.protobuf.timestamp_pb2.Timestamp] = 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 transfer runs for a time range [start_time, end_time]. For each date - or whatever granularity the data source supports

in the range, one transfer run is created. Note that runs are created per UTC time in the time range. DEPRECATED: use StartManualTransferRuns instead.

from google.cloud import bigquery_datatransfer_v1

async def sample_schedule_transfer_runs():
    # Create a client
    client = bigquery_datatransfer_v1.DataTransferServiceAsyncClient()

    # Initialize request argument(s)
    request = bigquery_datatransfer_v1.ScheduleTransferRunsRequest(
        parent="parent_value",
    )

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

    # Handle the response
    print(response)

Parameters

Name	Description
`request`	`Union[google.cloud.bigquery_datatransfer_v1.types.ScheduleTransferRunsRequest, dict]` The request object. A request to schedule transfer runs for a time range.
`parent`	`str` Required. Transfer configuration name in the form: `projects/{project_id}/transferConfigs/{config_id}` or `projects/{project_id}/locations/{location_id}/transferConfigs/{config_id}`. This corresponds to the `parent` field on the `request` instance; if `request` is provided, this should not be set.
`start_time`	`google.protobuf.timestamp_pb2.Timestamp` Required. Start time of the range of transfer runs. For example, `"2017-05-25T00:00:00+00:00"`. This corresponds to the `start_time` field on the `request` instance; if `request` is provided, this should not be set.
`end_time`	`google.protobuf.timestamp_pb2.Timestamp` Required. End time of the range of transfer runs. For example, `"2017-05-30T00:00:00+00:00"`. This corresponds to the `end_time` 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_datatransfer_v1.types.ScheduleTransferRunsResponse`	A response to schedule transfer runs for a time range.

start_manual_transfer_runs

start_manual_transfer_runs(request: Optional[Union[google.cloud.bigquery_datatransfer_v1.types.datatransfer.StartManualTransferRunsRequest, 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]] = ())

Start manual transfer runs to be executed now with schedule_time equal to current time. The transfer runs can be created for a time range where the run_time is between start_time (inclusive) and end_time (exclusive), or for a specific run_time.

from google.cloud import bigquery_datatransfer_v1

async def sample_start_manual_transfer_runs():
    # Create a client
    client = bigquery_datatransfer_v1.DataTransferServiceAsyncClient()

    # Initialize request argument(s)
    request = bigquery_datatransfer_v1.StartManualTransferRunsRequest(
    )

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

    # Handle the response
    print(response)

Parameters

Name	Description
`request`	`Union[google.cloud.bigquery_datatransfer_v1.types.StartManualTransferRunsRequest, dict]` The request object. A request to start manual transfer runs.
`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_datatransfer_v1.types.StartManualTransferRunsResponse`	A response to start manual transfer runs.

transfer_config_path

transfer_config_path(project: str, transfer_config: str)

Returns a fully-qualified transfer_config string.

update_transfer_config

update_transfer_config(request: Optional[Union[google.cloud.bigquery_datatransfer_v1.types.datatransfer.UpdateTransferConfigRequest, dict]] = None, *, transfer_config: Optional[google.cloud.bigquery_datatransfer_v1.types.transfer.TransferConfig] = None, update_mask: Optional[google.protobuf.field_mask_pb2.FieldMask] = None, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())

Updates a data transfer configuration. All fields must be set, even if they are not updated.

from google.cloud import bigquery_datatransfer_v1

async def sample_update_transfer_config():
    # Create a client
    client = bigquery_datatransfer_v1.DataTransferServiceAsyncClient()

    # Initialize request argument(s)
    transfer_config = bigquery_datatransfer_v1.TransferConfig()
    transfer_config.destination_dataset_id = "destination_dataset_id_value"

    request = bigquery_datatransfer_v1.UpdateTransferConfigRequest(
        transfer_config=transfer_config,
    )

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

    # Handle the response
    print(response)

Parameters

Name	Description
`request`	`Union[google.cloud.bigquery_datatransfer_v1.types.UpdateTransferConfigRequest, dict]` The request object. A request to update a transfer configuration. To update the user id of the transfer configuration, an authorization code needs to be provided.
`transfer_config`	`TransferConfig` Required. Data transfer configuration to create. This corresponds to the `transfer_config` field on the `request` instance; if `request` is provided, this should not be set.
`update_mask`	`google.protobuf.field_mask_pb2.FieldMask` Required. Required list of fields to be updated in this 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_datatransfer_v1.types.TransferConfig`	Represents a data transfer configuration. A transfer configuration contains all metadata needed to perform a data transfer. For example, destination_dataset_id specifies where data should be stored. When a new transfer configuration is created, the specified destination_dataset_id is created when needed and shared with the appropriate data source service account.