As of January 1, 2020 this library no longer supports Python 2 on the latest released version. Library versions released prior to that date will continue to be available. For more information please visit Python 2 support on Google Cloud.

DataTransferService¶

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

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

Instantiates the data transfer service async client.

Parameters

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 (Optional[Union[str,DataTransferServiceTransport,Callable[..., DataTransferServiceTransport]]]) – The transport to use, or a Callable that constructs and returns a new transport to use. If a Callable is given, it will be called with the same set of initialization arguments as used in the DataTransferServiceTransport constructor. If set to None, a transport is chosen automatically.
client_options (Optional[Union[google.api_core.client_options.ClientOptions, dict]]) –
Custom options for the client.

1. The api_endpoint property can be used to override the default endpoint provided by the client when transport is not explicitly provided. Only if this property is not set and transport was not explicitly provided, the endpoint is determined by the GOOGLE_API_USE_MTLS_ENDPOINT environment variable, which have one of the following values: “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).

2. If the GOOGLE_API_USE_CLIENT_CERTIFICATE environment variable is “true”, then the client_cert_source property can be used to provide a client certificate for mTLS 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.

3. The universe_domain property can be used to override the default “googleapis.com” universe. Note that api_endpoint property still takes precedence; and universe_domain is currently not supported for mTLS.
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.

Raises

google.auth.exceptions.MutualTlsChannelError – If mutual TLS transport creation failed for any reason.

property api_endpoint¶

Return the API endpoint used by the client instance.

Returns: The API endpoint used by the client instance.
Return type: str

async check_valid_creds(request: Optional[Union[google.cloud.bigquery_datatransfer_v1.types.datatransfer.CheckValidCredsRequest, dict]] = None, *, name: Optional[str] = None, retry: Optional[Union[google.api_core.retry.retry_unary_async.AsyncRetry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.cloud.bigquery_datatransfer_v1.types.datatransfer.CheckValidCredsResponse[source]¶

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

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

request (Optional[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_async.AsyncRetry) – 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

A response indicating whether the credentials exist and are valid.

Return type

google.cloud.bigquery_datatransfer_v1.types.CheckValidCredsResponse

static common_billing_account_path(billing_account: str) → str¶: Returns a fully-qualified billing_account string.

static common_folder_path(folder: str) → str¶: Returns a fully-qualified folder string.

static common_location_path(project: str, location: str) → str¶: Returns a fully-qualified location string.

static common_organization_path(organization: str) → str¶: Returns a fully-qualified organization string.

static common_project_path(project: str) → str¶: Returns a fully-qualified project string.

async 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: Optional[Union[google.api_core.retry.retry_unary_async.AsyncRetry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.cloud.bigquery_datatransfer_v1.types.transfer.TransferConfig[source]¶

Creates a new data transfer configuration.

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

request (Optional[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, authorization info must be provided. If authorization info is provided, the transfer configuration will be associated with the user id corresponding to the authorization info. Otherwise, the transfer configuration will be associated with the calling user.

When using a cross project service account for creating a transfer config, you must enable cross project service account usage. For more information, see Disable attachment of service accounts to resources in other projects.
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 (google.cloud.bigquery_datatransfer_v1.types.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_async.AsyncRetry) – 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

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.

Return type

google.cloud.bigquery_datatransfer_v1.types.TransferConfig

static data_source_path(project: str, data_source: str) → str¶: Returns a fully-qualified data_source string.

async delete_transfer_config(request: Optional[Union[google.cloud.bigquery_datatransfer_v1.types.datatransfer.DeleteTransferConfigRequest, dict]] = None, *, name: Optional[str] = None, retry: Optional[Union[google.api_core.retry.retry_unary_async.AsyncRetry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → None[source]¶

Deletes a data transfer configuration, including any associated transfer runs and logs.

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

request (Optional[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_async.AsyncRetry) – 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.

async delete_transfer_run(request: Optional[Union[google.cloud.bigquery_datatransfer_v1.types.datatransfer.DeleteTransferRunRequest, dict]] = None, *, name: Optional[str] = None, retry: Optional[Union[google.api_core.retry.retry_unary_async.AsyncRetry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → None[source]¶

Deletes the specified transfer run.

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

request (Optional[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_async.AsyncRetry) – 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.

async enroll_data_sources(request: Optional[Union[google.cloud.bigquery_datatransfer_v1.types.datatransfer.EnrollDataSourcesRequest, dict]] = None, *, retry: Optional[Union[google.api_core.retry.retry_unary_async.AsyncRetry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → None[source]¶

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, and the documents can be found in the public guide for BigQuery Web UI and Data Transfer Service.

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

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

Parameters

request (Optional[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_async.AsyncRetry) – 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.

classmethod from_service_account_file(filename: str, *args, **kwargs)[source]¶

Creates an instance of this client using the provided credentials: file.

Parameters

filename (str) – The path to the service account private key json file.
args – Additional arguments to pass to the constructor.
kwargs – Additional arguments to pass to the constructor.

Returns

The constructed client.

Return type

DataTransferServiceAsyncClient

classmethod from_service_account_info(info: dict, *args, **kwargs)[source]¶

Creates an instance of this client using the provided credentials: info.

Parameters

info (dict) – The service account private key info.
args – Additional arguments to pass to the constructor.
kwargs – Additional arguments to pass to the constructor.

Returns

The constructed client.

Return type

DataTransferServiceAsyncClient

classmethod from_service_account_json(filename: str, *args, **kwargs)¶

Creates an instance of this client using the provided credentials: file.

Parameters

filename (str) – The path to the service account private key json file.
args – Additional arguments to pass to the constructor.
kwargs – Additional arguments to pass to the constructor.

Returns

The constructed client.

Return type

DataTransferServiceAsyncClient

async get_data_source(request: Optional[Union[google.cloud.bigquery_datatransfer_v1.types.datatransfer.GetDataSourceRequest, dict]] = None, *, name: Optional[str] = None, retry: Optional[Union[google.api_core.retry.retry_unary_async.AsyncRetry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.cloud.bigquery_datatransfer_v1.types.datatransfer.DataSource[source]¶

Retrieves a supported data source and returns its settings.

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

request (Optional[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_async.AsyncRetry) – 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

Defines the properties and custom parameters for a data source.

Return type

google.cloud.bigquery_datatransfer_v1.types.DataSource

async get_location(request: Optional[google.cloud.location.locations_pb2.GetLocationRequest] = None, *, retry: Optional[Union[google.api_core.retry.retry_unary_async.AsyncRetry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.cloud.location.locations_pb2.Location[source]¶

Gets information about a location.

Parameters

request (GetLocationRequest) – The request object. Request message for GetLocation method.
retry (google.api_core.retry_async.AsyncRetry) – 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

Location object.

Return type

Location

classmethod get_mtls_endpoint_and_cert_source(client_options: Optional[google.api_core.client_options.ClientOptions] = None)[source]¶

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

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

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

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

Parameters

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.

Returns

returns the API endpoint and the: client cert source to use.

Return type

Tuple[str, Callable[[], Tuple[bytes, bytes]]]

Raises

google.auth.exceptions.MutualTLSChannelError – If any errors happen.

async get_transfer_config(request: Optional[Union[google.cloud.bigquery_datatransfer_v1.types.datatransfer.GetTransferConfigRequest, dict]] = None, *, name: Optional[str] = None, retry: Optional[Union[google.api_core.retry.retry_unary_async.AsyncRetry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.cloud.bigquery_datatransfer_v1.types.transfer.TransferConfig[source]¶

Returns information about a data transfer config.

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

request (Optional[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_async.AsyncRetry) – 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

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.

Return type

google.cloud.bigquery_datatransfer_v1.types.TransferConfig

async get_transfer_run(request: Optional[Union[google.cloud.bigquery_datatransfer_v1.types.datatransfer.GetTransferRunRequest, dict]] = None, *, name: Optional[str] = None, retry: Optional[Union[google.api_core.retry.retry_unary_async.AsyncRetry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.cloud.bigquery_datatransfer_v1.types.transfer.TransferRun[source]¶

Returns information about the particular transfer run.

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

request (Optional[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_async.AsyncRetry) – 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

Represents a data transfer run.

Return type

google.cloud.bigquery_datatransfer_v1.types.TransferRun

classmethod get_transport_class(label: Optional[str] = None) → Type[google.cloud.bigquery_datatransfer_v1.services.data_transfer_service.transports.base.DataTransferServiceTransport]¶

Returns an appropriate transport class.

Parameters: label – The name of the desired transport. If none is provided, then the first transport in the registry is used.
Returns: The transport class to use.

async list_data_sources(request: Optional[Union[google.cloud.bigquery_datatransfer_v1.types.datatransfer.ListDataSourcesRequest, dict]] = None, *, parent: Optional[str] = None, retry: Optional[Union[google.api_core.retry.retry_unary_async.AsyncRetry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.cloud.bigquery_datatransfer_v1.services.data_transfer_service.pagers.ListDataSourcesAsyncPager[source]¶

Lists supported data sources and returns their settings.

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

request (Optional[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 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_async.AsyncRetry) – 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

Returns list of supported data sources and their metadata. Iterating over this object will yield results and resolve additional pages automatically.

Return type

google.cloud.bigquery_datatransfer_v1.services.data_transfer_service.pagers.ListDataSourcesAsyncPager

async list_locations(request: Optional[google.cloud.location.locations_pb2.ListLocationsRequest] = None, *, retry: Optional[Union[google.api_core.retry.retry_unary_async.AsyncRetry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.cloud.location.locations_pb2.ListLocationsResponse[source]¶

Lists information about the supported locations for this service.

Parameters

request (ListLocationsRequest) – The request object. Request message for ListLocations method.
retry (google.api_core.retry_async.AsyncRetry) – 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

Response message for ListLocations method.

Return type

ListLocationsResponse

async list_transfer_configs(request: Optional[Union[google.cloud.bigquery_datatransfer_v1.types.datatransfer.ListTransferConfigsRequest, dict]] = None, *, parent: Optional[str] = None, retry: Optional[Union[google.api_core.retry.retry_unary_async.AsyncRetry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.cloud.bigquery_datatransfer_v1.services.data_transfer_service.pagers.ListTransferConfigsAsyncPager[source]¶

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

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

request (Optional[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 transfer configs 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_async.AsyncRetry) – 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

The returned list of pipelines in the project. Iterating over this object will yield results and resolve additional pages automatically.

Return type

google.cloud.bigquery_datatransfer_v1.services.data_transfer_service.pagers.ListTransferConfigsAsyncPager

async list_transfer_logs(request: Optional[Union[google.cloud.bigquery_datatransfer_v1.types.datatransfer.ListTransferLogsRequest, dict]] = None, *, parent: Optional[str] = None, retry: Optional[Union[google.api_core.retry.retry_unary_async.AsyncRetry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.cloud.bigquery_datatransfer_v1.services.data_transfer_service.pagers.ListTransferLogsAsyncPager[source]¶

Returns log messages for the transfer run.

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

request (Optional[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_async.AsyncRetry) – 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

The returned list transfer run messages. Iterating over this object will yield results and resolve additional pages automatically.

Return type

google.cloud.bigquery_datatransfer_v1.services.data_transfer_service.pagers.ListTransferLogsAsyncPager

async list_transfer_runs(request: Optional[Union[google.cloud.bigquery_datatransfer_v1.types.datatransfer.ListTransferRunsRequest, dict]] = None, *, parent: Optional[str] = None, retry: Optional[Union[google.api_core.retry.retry_unary_async.AsyncRetry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.cloud.bigquery_datatransfer_v1.services.data_transfer_service.pagers.ListTransferRunsAsyncPager[source]¶

Returns information about running and completed transfer runs.

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

request (Optional[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_async.AsyncRetry) – 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

The returned list of pipelines in the project. Iterating over this object will yield results and resolve additional pages automatically.

Return type

google.cloud.bigquery_datatransfer_v1.services.data_transfer_service.pagers.ListTransferRunsAsyncPager

static parse_common_billing_account_path(path: str) → Dict[str, str]¶: Parse a billing_account path into its component segments.

static parse_common_folder_path(path: str) → Dict[str, str]¶: Parse a folder path into its component segments.

static parse_common_location_path(path: str) → Dict[str, str]¶: Parse a location path into its component segments.

static parse_common_organization_path(path: str) → Dict[str, str]¶: Parse a organization path into its component segments.

static parse_common_project_path(path: str) → Dict[str, str]¶: Parse a project path into its component segments.

static parse_data_source_path(path: str) → Dict[str, str]¶: Parses a data_source path into its component segments.

static parse_run_path(path: str) → Dict[str, str]¶: Parses a run path into its component segments.

static parse_transfer_config_path(path: str) → Dict[str, str]¶: Parses a transfer_config path into its component segments.

static run_path(project: str, transfer_config: str, run: str) → str¶: Returns a fully-qualified run string.

async 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: Optional[Union[google.api_core.retry.retry_unary_async.AsyncRetry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.cloud.bigquery_datatransfer_v1.types.datatransfer.ScheduleTransferRunsResponse[source]¶

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.

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

request (Optional[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_async.AsyncRetry) – 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

A response to schedule transfer runs for a time range.

Return type

google.cloud.bigquery_datatransfer_v1.types.ScheduleTransferRunsResponse

async start_manual_transfer_runs(request: Optional[Union[google.cloud.bigquery_datatransfer_v1.types.datatransfer.StartManualTransferRunsRequest, dict]] = None, *, retry: Optional[Union[google.api_core.retry.retry_unary_async.AsyncRetry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.cloud.bigquery_datatransfer_v1.types.datatransfer.StartManualTransferRunsResponse[source]¶

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.

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

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

    # Handle the response
    print(response)

Parameters

request (Optional[Union[google.cloud.bigquery_datatransfer_v1.types.StartManualTransferRunsRequest, dict]]) – The request object. A request to start manual transfer runs.
retry (google.api_core.retry_async.AsyncRetry) – 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

A response to start manual transfer runs.

Return type

google.cloud.bigquery_datatransfer_v1.types.StartManualTransferRunsResponse

static transfer_config_path(project: str, transfer_config: str) → str¶: Returns a fully-qualified transfer_config string.

property transport: google.cloud.bigquery_datatransfer_v1.services.data_transfer_service.transports.base.DataTransferServiceTransport¶

Returns the transport used by the client instance.

Returns: The transport used by the client instance.
Return type: DataTransferServiceTransport

async unenroll_data_sources(request: Optional[Union[google.cloud.bigquery_datatransfer_v1.types.datatransfer.UnenrollDataSourcesRequest, dict]] = None, *, retry: Optional[Union[google.api_core.retry.retry_unary_async.AsyncRetry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → None[source]¶

Unenroll data sources in a user project. This allows users to remove transfer configurations for these data sources. They will no longer appear in the ListDataSources RPC and will also no longer appear in the BigQuery UI. Data transfers configurations of unenrolled data sources will not be scheduled.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import bigquery_datatransfer_v1

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

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

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

Parameters

request (Optional[Union[google.cloud.bigquery_datatransfer_v1.types.UnenrollDataSourcesRequest, dict]]) – The request object. A request to unenroll a set of data sources so they are no longer visible in the BigQuery UI’s Transfer tab.
retry (google.api_core.retry_async.AsyncRetry) – 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.

property universe_domain: str¶

Return the universe domain used by the client instance.

Returns

The universe domain used: by the client instance.

Return type

str

async 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: Optional[Union[google.api_core.retry.retry_unary_async.AsyncRetry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.cloud.bigquery_datatransfer_v1.types.transfer.TransferConfig[source]¶

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

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

request (Optional[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, authorization info needs to be provided.

When using a cross project service account for updating a transfer config, you must enable cross project service account usage. For more information, see Disable attachment of service accounts to resources in other projects.
transfer_config (google.cloud.bigquery_datatransfer_v1.types.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_async.AsyncRetry) – 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

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.

Return type

google.cloud.bigquery_datatransfer_v1.types.TransferConfig

class google.cloud.bigquery_datatransfer_v1.services.data_transfer_service.DataTransferServiceClient(*, credentials: typing.Optional[google.auth.credentials.Credentials] = None, transport: typing.Optional[typing.Union[str, google.cloud.bigquery_datatransfer_v1.services.data_transfer_service.transports.base.DataTransferServiceTransport, typing.Callable[[...], google.cloud.bigquery_datatransfer_v1.services.data_transfer_service.transports.base.DataTransferServiceTransport]]] = None, client_options: typing.Optional[typing.Union[google.api_core.client_options.ClientOptions, dict]] = None, client_info: google.api_core.gapic_v1.client_info.ClientInfo = <google.api_core.gapic_v1.client_info.ClientInfo object>)[source]¶

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

Instantiates the data transfer service client.

Parameters

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 (Optional[Union[str,DataTransferServiceTransport,Callable[..., DataTransferServiceTransport]]]) – The transport to use, or a Callable that constructs and returns a new transport. If a Callable is given, it will be called with the same set of initialization arguments as used in the DataTransferServiceTransport constructor. If set to None, a transport is chosen automatically.
client_options (Optional[Union[google.api_core.client_options.ClientOptions, dict]]) –
Custom options for the client.

1. The api_endpoint property can be used to override the default endpoint provided by the client when transport is not explicitly provided. Only if this property is not set and transport was not explicitly provided, the endpoint is determined by the GOOGLE_API_USE_MTLS_ENDPOINT environment variable, which have one of the following values: “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).

2. If the GOOGLE_API_USE_CLIENT_CERTIFICATE environment variable is “true”, then the client_cert_source property can be used to provide a client certificate for mTLS 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.

3. The universe_domain property can be used to override the default “googleapis.com” universe. Note that the api_endpoint property still takes precedence; and universe_domain is currently not supported for mTLS.
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.

Raises

google.auth.exceptions.MutualTLSChannelError – If mutual TLS transport creation failed for any reason.

__exit__(type, value, traceback)[source]¶: Releases underlying transport’s resources.

Warning

ONLY use as a context manager if the transport is NOT shared with other clients! Exiting the with block will CLOSE the transport and may cause errors in other clients!

property api_endpoint¶

Return the API endpoint used by the client instance.

Returns: The API endpoint used by the client instance.
Return type: str

check_valid_creds(request: Optional[Union[google.cloud.bigquery_datatransfer_v1.types.datatransfer.CheckValidCredsRequest, dict]] = None, *, name: Optional[str] = None, retry: Optional[Union[google.api_core.retry.retry_unary.Retry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.cloud.bigquery_datatransfer_v1.types.datatransfer.CheckValidCredsResponse[source]¶

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

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import bigquery_datatransfer_v1

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

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

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

    # Handle the response
    print(response)

Parameters

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

A response indicating whether the credentials exist and are valid.

Return type

google.cloud.bigquery_datatransfer_v1.types.CheckValidCredsResponse

static common_billing_account_path(billing_account: str) → str[source]¶: Returns a fully-qualified billing_account string.

static common_folder_path(folder: str) → str[source]¶: Returns a fully-qualified folder string.

static common_location_path(project: str, location: str) → str[source]¶: Returns a fully-qualified location string.

static common_organization_path(organization: str) → str[source]¶: Returns a fully-qualified organization string.

static common_project_path(project: str) → str[source]¶: Returns a fully-qualified project string.

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: Optional[Union[google.api_core.retry.retry_unary.Retry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.cloud.bigquery_datatransfer_v1.types.transfer.TransferConfig[source]¶

Creates a new data transfer configuration.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import bigquery_datatransfer_v1

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

    # 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 = client.create_transfer_config(request=request)

    # Handle the response
    print(response)

Parameters

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, authorization info must be provided. If authorization info is provided, the transfer configuration will be associated with the user id corresponding to the authorization info. Otherwise, the transfer configuration will be associated with the calling user.

When using a cross project service account for creating a transfer config, you must enable cross project service account usage. For more information, see Disable attachment of service accounts to resources in other projects.
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 (google.cloud.bigquery_datatransfer_v1.types.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

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.

Return type

google.cloud.bigquery_datatransfer_v1.types.TransferConfig

static data_source_path(project: str, data_source: str) → str[source]¶: Returns a fully-qualified data_source string.

delete_transfer_config(request: Optional[Union[google.cloud.bigquery_datatransfer_v1.types.datatransfer.DeleteTransferConfigRequest, dict]] = None, *, name: Optional[str] = None, retry: Optional[Union[google.api_core.retry.retry_unary.Retry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → None[source]¶

Deletes a data transfer configuration, including any associated transfer runs and logs.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import bigquery_datatransfer_v1

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

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

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

Parameters

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(request: Optional[Union[google.cloud.bigquery_datatransfer_v1.types.datatransfer.DeleteTransferRunRequest, dict]] = None, *, name: Optional[str] = None, retry: Optional[Union[google.api_core.retry.retry_unary.Retry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → None[source]¶

Deletes the specified transfer run.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import bigquery_datatransfer_v1

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

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

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

Parameters

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(request: Optional[Union[google.cloud.bigquery_datatransfer_v1.types.datatransfer.EnrollDataSourcesRequest, dict]] = None, *, retry: Optional[Union[google.api_core.retry.retry_unary.Retry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → None[source]¶

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, and the documents can be found in the public guide for BigQuery Web UI and Data Transfer Service.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import bigquery_datatransfer_v1

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

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

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

Parameters

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.

classmethod from_service_account_file(filename: str, *args, **kwargs)[source]¶

Creates an instance of this client using the provided credentials: file.

Parameters

filename (str) – The path to the service account private key json file.
args – Additional arguments to pass to the constructor.
kwargs – Additional arguments to pass to the constructor.

Returns

The constructed client.

Return type

DataTransferServiceClient

classmethod from_service_account_info(info: dict, *args, **kwargs)[source]¶

Creates an instance of this client using the provided credentials: info.

Parameters

info (dict) – The service account private key info.
args – Additional arguments to pass to the constructor.
kwargs – Additional arguments to pass to the constructor.

Returns

The constructed client.

Return type

DataTransferServiceClient

classmethod from_service_account_json(filename: str, *args, **kwargs)¶

Creates an instance of this client using the provided credentials: file.

Parameters

filename (str) – The path to the service account private key json file.
args – Additional arguments to pass to the constructor.
kwargs – Additional arguments to pass to the constructor.

Returns

The constructed client.

Return type

DataTransferServiceClient

get_data_source(request: Optional[Union[google.cloud.bigquery_datatransfer_v1.types.datatransfer.GetDataSourceRequest, dict]] = None, *, name: Optional[str] = None, retry: Optional[Union[google.api_core.retry.retry_unary.Retry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.cloud.bigquery_datatransfer_v1.types.datatransfer.DataSource[source]¶

Retrieves a supported data source and returns its settings.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import bigquery_datatransfer_v1

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

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

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

    # Handle the response
    print(response)

Parameters

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

Defines the properties and custom parameters for a data source.

Return type

google.cloud.bigquery_datatransfer_v1.types.DataSource

get_location(request: Optional[google.cloud.location.locations_pb2.GetLocationRequest] = None, *, retry: Optional[Union[google.api_core.retry.retry_unary.Retry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.cloud.location.locations_pb2.Location[source]¶

Gets information about a location.

Parameters

request (GetLocationRequest) – The request object. Request message for GetLocation 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

Location object.

Return type

Location

classmethod get_mtls_endpoint_and_cert_source(client_options: Optional[google.api_core.client_options.ClientOptions] = None)[source]¶

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

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

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

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

Parameters

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.

Returns

returns the API endpoint and the: client cert source to use.

Return type

Tuple[str, Callable[[], Tuple[bytes, bytes]]]

Raises

google.auth.exceptions.MutualTLSChannelError – If any errors happen.

get_transfer_config(request: Optional[Union[google.cloud.bigquery_datatransfer_v1.types.datatransfer.GetTransferConfigRequest, dict]] = None, *, name: Optional[str] = None, retry: Optional[Union[google.api_core.retry.retry_unary.Retry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.cloud.bigquery_datatransfer_v1.types.transfer.TransferConfig[source]¶

Returns information about a data transfer config.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import bigquery_datatransfer_v1

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

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

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

    # Handle the response
    print(response)

Parameters

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

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.

Return type

google.cloud.bigquery_datatransfer_v1.types.TransferConfig

get_transfer_run(request: Optional[Union[google.cloud.bigquery_datatransfer_v1.types.datatransfer.GetTransferRunRequest, dict]] = None, *, name: Optional[str] = None, retry: Optional[Union[google.api_core.retry.retry_unary.Retry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.cloud.bigquery_datatransfer_v1.types.transfer.TransferRun[source]¶

Returns information about the particular transfer run.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import bigquery_datatransfer_v1

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

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

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

    # Handle the response
    print(response)

Parameters

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

Represents a data transfer run.

Return type

google.cloud.bigquery_datatransfer_v1.types.TransferRun

list_data_sources(request: Optional[Union[google.cloud.bigquery_datatransfer_v1.types.datatransfer.ListDataSourcesRequest, dict]] = None, *, parent: Optional[str] = None, retry: Optional[Union[google.api_core.retry.retry_unary.Retry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.cloud.bigquery_datatransfer_v1.services.data_transfer_service.pagers.ListDataSourcesPager[source]¶

Lists supported data sources and returns their settings.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import bigquery_datatransfer_v1

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

    # 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
    for response in page_result:
        print(response)

Parameters

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 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

Returns list of supported data sources and their metadata. Iterating over this object will yield results and resolve additional pages automatically.

Return type

google.cloud.bigquery_datatransfer_v1.services.data_transfer_service.pagers.ListDataSourcesPager

list_locations(request: Optional[google.cloud.location.locations_pb2.ListLocationsRequest] = None, *, retry: Optional[Union[google.api_core.retry.retry_unary.Retry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.cloud.location.locations_pb2.ListLocationsResponse[source]¶

Lists information about the supported locations for this service.

Parameters

request (ListLocationsRequest) – The request object. Request message for ListLocations 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

Response message for ListLocations method.

Return type

ListLocationsResponse

list_transfer_configs(request: Optional[Union[google.cloud.bigquery_datatransfer_v1.types.datatransfer.ListTransferConfigsRequest, dict]] = None, *, parent: Optional[str] = None, retry: Optional[Union[google.api_core.retry.retry_unary.Retry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.cloud.bigquery_datatransfer_v1.services.data_transfer_service.pagers.ListTransferConfigsPager[source]¶

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

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import bigquery_datatransfer_v1

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

    # 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
    for response in page_result:
        print(response)

Parameters

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 transfer configs 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

The returned list of pipelines in the project. Iterating over this object will yield results and resolve additional pages automatically.

Return type

google.cloud.bigquery_datatransfer_v1.services.data_transfer_service.pagers.ListTransferConfigsPager

list_transfer_logs(request: Optional[Union[google.cloud.bigquery_datatransfer_v1.types.datatransfer.ListTransferLogsRequest, dict]] = None, *, parent: Optional[str] = None, retry: Optional[Union[google.api_core.retry.retry_unary.Retry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.cloud.bigquery_datatransfer_v1.services.data_transfer_service.pagers.ListTransferLogsPager[source]¶

Returns log messages for the transfer run.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import bigquery_datatransfer_v1

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

    # 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
    for response in page_result:
        print(response)

Parameters

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

The returned list transfer run messages. Iterating over this object will yield results and resolve additional pages automatically.

Return type

google.cloud.bigquery_datatransfer_v1.services.data_transfer_service.pagers.ListTransferLogsPager

list_transfer_runs(request: Optional[Union[google.cloud.bigquery_datatransfer_v1.types.datatransfer.ListTransferRunsRequest, dict]] = None, *, parent: Optional[str] = None, retry: Optional[Union[google.api_core.retry.retry_unary.Retry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.cloud.bigquery_datatransfer_v1.services.data_transfer_service.pagers.ListTransferRunsPager[source]¶

Returns information about running and completed transfer runs.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import bigquery_datatransfer_v1

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

    # 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
    for response in page_result:
        print(response)

Parameters

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

The returned list of pipelines in the project. Iterating over this object will yield results and resolve additional pages automatically.

Return type

google.cloud.bigquery_datatransfer_v1.services.data_transfer_service.pagers.ListTransferRunsPager

static parse_common_billing_account_path(path: str) → Dict[str, str][source]¶: Parse a billing_account path into its component segments.

static parse_common_folder_path(path: str) → Dict[str, str][source]¶: Parse a folder path into its component segments.

static parse_common_location_path(path: str) → Dict[str, str][source]¶: Parse a location path into its component segments.

static parse_common_organization_path(path: str) → Dict[str, str][source]¶: Parse a organization path into its component segments.

static parse_common_project_path(path: str) → Dict[str, str][source]¶: Parse a project path into its component segments.

static parse_data_source_path(path: str) → Dict[str, str][source]¶: Parses a data_source path into its component segments.

static parse_run_path(path: str) → Dict[str, str][source]¶: Parses a run path into its component segments.

static parse_transfer_config_path(path: str) → Dict[str, str][source]¶: Parses a transfer_config path into its component segments.

static run_path(project: str, transfer_config: str, run: str) → str[source]¶: Returns a fully-qualified run string.

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: Optional[Union[google.api_core.retry.retry_unary.Retry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.cloud.bigquery_datatransfer_v1.types.datatransfer.ScheduleTransferRunsResponse[source]¶

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.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import bigquery_datatransfer_v1

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

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

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

    # Handle the response
    print(response)

Parameters

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

A response to schedule transfer runs for a time range.

Return type

google.cloud.bigquery_datatransfer_v1.types.ScheduleTransferRunsResponse

start_manual_transfer_runs(request: Optional[Union[google.cloud.bigquery_datatransfer_v1.types.datatransfer.StartManualTransferRunsRequest, dict]] = None, *, retry: Optional[Union[google.api_core.retry.retry_unary.Retry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.cloud.bigquery_datatransfer_v1.types.datatransfer.StartManualTransferRunsResponse[source]¶

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.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import bigquery_datatransfer_v1

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

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

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

    # Handle the response
    print(response)

Parameters

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

A response to start manual transfer runs.

Return type

google.cloud.bigquery_datatransfer_v1.types.StartManualTransferRunsResponse

static transfer_config_path(project: str, transfer_config: str) → str[source]¶: Returns a fully-qualified transfer_config string.

property transport: google.cloud.bigquery_datatransfer_v1.services.data_transfer_service.transports.base.DataTransferServiceTransport¶

Returns the transport used by the client instance.

Returns

The transport used by the client: instance.

Return type

DataTransferServiceTransport

unenroll_data_sources(request: Optional[Union[google.cloud.bigquery_datatransfer_v1.types.datatransfer.UnenrollDataSourcesRequest, dict]] = None, *, retry: Optional[Union[google.api_core.retry.retry_unary.Retry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → None[source]¶

Unenroll data sources in a user project. This allows users to remove transfer configurations for these data sources. They will no longer appear in the ListDataSources RPC and will also no longer appear in the BigQuery UI. Data transfers configurations of unenrolled data sources will not be scheduled.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import bigquery_datatransfer_v1

def sample_unenroll_data_sources():
    # Create a client
    client = bigquery_datatransfer_v1.DataTransferServiceClient()

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

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

Parameters

request (Union[google.cloud.bigquery_datatransfer_v1.types.UnenrollDataSourcesRequest, dict]) – The request object. A request to unenroll a set of data sources so they are no longer 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.

property universe_domain: str¶

Return the universe domain used by the client instance.

Returns: The universe domain used by the client instance.
Return type: str

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: Optional[Union[google.api_core.retry.retry_unary.Retry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.cloud.bigquery_datatransfer_v1.types.transfer.TransferConfig[source]¶

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

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import bigquery_datatransfer_v1

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

    # 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 = client.update_transfer_config(request=request)

    # Handle the response
    print(response)

Parameters

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, authorization info needs to be provided.

When using a cross project service account for updating a transfer config, you must enable cross project service account usage. For more information, see Disable attachment of service accounts to resources in other projects.
transfer_config (google.cloud.bigquery_datatransfer_v1.types.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

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.

Return type

google.cloud.bigquery_datatransfer_v1.types.TransferConfig

class google.cloud.bigquery_datatransfer_v1.services.data_transfer_service.pagers.ListDataSourcesAsyncPager(method: Callable[[...], Awaitable[google.cloud.bigquery_datatransfer_v1.types.datatransfer.ListDataSourcesResponse]], request: google.cloud.bigquery_datatransfer_v1.types.datatransfer.ListDataSourcesRequest, response: google.cloud.bigquery_datatransfer_v1.types.datatransfer.ListDataSourcesResponse, *, retry: Optional[Union[google.api_core.retry.retry_unary_async.AsyncRetry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ())[source]¶

A pager for iterating through list_data_sources requests.

This class thinly wraps an initial google.cloud.bigquery_datatransfer_v1.types.ListDataSourcesResponse object, and provides an __aiter__ method to iterate through its data_sources field.

If there are more pages, the __aiter__ method will make additional ListDataSources requests and continue to iterate through the data_sources field on the corresponding responses.

All the usual google.cloud.bigquery_datatransfer_v1.types.ListDataSourcesResponse attributes are available on the pager. If multiple requests are made, only the most recent response is retained, and thus used for attribute lookup.

Instantiates the pager.

Parameters

method (Callable) – The method that was originally called, and which instantiated this pager.
request (google.cloud.bigquery_datatransfer_v1.types.ListDataSourcesRequest) – The initial request object.
response (google.cloud.bigquery_datatransfer_v1.types.ListDataSourcesResponse) – The initial response object.
retry (google.api_core.retry.AsyncRetry) – 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.

class google.cloud.bigquery_datatransfer_v1.services.data_transfer_service.pagers.ListDataSourcesPager(method: Callable[[...], google.cloud.bigquery_datatransfer_v1.types.datatransfer.ListDataSourcesResponse], request: google.cloud.bigquery_datatransfer_v1.types.datatransfer.ListDataSourcesRequest, response: google.cloud.bigquery_datatransfer_v1.types.datatransfer.ListDataSourcesResponse, *, retry: Optional[Union[google.api_core.retry.retry_unary.Retry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ())[source]¶

A pager for iterating through list_data_sources requests.

This class thinly wraps an initial google.cloud.bigquery_datatransfer_v1.types.ListDataSourcesResponse object, and provides an __iter__ method to iterate through its data_sources field.

If there are more pages, the __iter__ method will make additional ListDataSources requests and continue to iterate through the data_sources field on the corresponding responses.

All the usual google.cloud.bigquery_datatransfer_v1.types.ListDataSourcesResponse attributes are available on the pager. If multiple requests are made, only the most recent response is retained, and thus used for attribute lookup.

Instantiate the pager.

Parameters

method (Callable) – The method that was originally called, and which instantiated this pager.
request (google.cloud.bigquery_datatransfer_v1.types.ListDataSourcesRequest) – The initial request object.
response (google.cloud.bigquery_datatransfer_v1.types.ListDataSourcesResponse) – The initial response object.
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.

class google.cloud.bigquery_datatransfer_v1.services.data_transfer_service.pagers.ListTransferConfigsAsyncPager(method: Callable[[...], Awaitable[google.cloud.bigquery_datatransfer_v1.types.datatransfer.ListTransferConfigsResponse]], request: google.cloud.bigquery_datatransfer_v1.types.datatransfer.ListTransferConfigsRequest, response: google.cloud.bigquery_datatransfer_v1.types.datatransfer.ListTransferConfigsResponse, *, retry: Optional[Union[google.api_core.retry.retry_unary_async.AsyncRetry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ())[source]¶

A pager for iterating through list_transfer_configs requests.

This class thinly wraps an initial google.cloud.bigquery_datatransfer_v1.types.ListTransferConfigsResponse object, and provides an __aiter__ method to iterate through its transfer_configs field.

If there are more pages, the __aiter__ method will make additional ListTransferConfigs requests and continue to iterate through the transfer_configs field on the corresponding responses.

All the usual google.cloud.bigquery_datatransfer_v1.types.ListTransferConfigsResponse attributes are available on the pager. If multiple requests are made, only the most recent response is retained, and thus used for attribute lookup.

Instantiates the pager.

Parameters

method (Callable) – The method that was originally called, and which instantiated this pager.
request (google.cloud.bigquery_datatransfer_v1.types.ListTransferConfigsRequest) – The initial request object.
response (google.cloud.bigquery_datatransfer_v1.types.ListTransferConfigsResponse) – The initial response object.
retry (google.api_core.retry.AsyncRetry) – 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.

class google.cloud.bigquery_datatransfer_v1.services.data_transfer_service.pagers.ListTransferConfigsPager(method: Callable[[...], google.cloud.bigquery_datatransfer_v1.types.datatransfer.ListTransferConfigsResponse], request: google.cloud.bigquery_datatransfer_v1.types.datatransfer.ListTransferConfigsRequest, response: google.cloud.bigquery_datatransfer_v1.types.datatransfer.ListTransferConfigsResponse, *, retry: Optional[Union[google.api_core.retry.retry_unary.Retry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ())[source]¶

A pager for iterating through list_transfer_configs requests.

This class thinly wraps an initial google.cloud.bigquery_datatransfer_v1.types.ListTransferConfigsResponse object, and provides an __iter__ method to iterate through its transfer_configs field.

If there are more pages, the __iter__ method will make additional ListTransferConfigs requests and continue to iterate through the transfer_configs field on the corresponding responses.

All the usual google.cloud.bigquery_datatransfer_v1.types.ListTransferConfigsResponse attributes are available on the pager. If multiple requests are made, only the most recent response is retained, and thus used for attribute lookup.

Instantiate the pager.

Parameters

method (Callable) – The method that was originally called, and which instantiated this pager.
request (google.cloud.bigquery_datatransfer_v1.types.ListTransferConfigsRequest) – The initial request object.
response (google.cloud.bigquery_datatransfer_v1.types.ListTransferConfigsResponse) – The initial response object.
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.

class google.cloud.bigquery_datatransfer_v1.services.data_transfer_service.pagers.ListTransferLogsAsyncPager(method: Callable[[...], Awaitable[google.cloud.bigquery_datatransfer_v1.types.datatransfer.ListTransferLogsResponse]], request: google.cloud.bigquery_datatransfer_v1.types.datatransfer.ListTransferLogsRequest, response: google.cloud.bigquery_datatransfer_v1.types.datatransfer.ListTransferLogsResponse, *, retry: Optional[Union[google.api_core.retry.retry_unary_async.AsyncRetry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ())[source]¶

A pager for iterating through list_transfer_logs requests.

This class thinly wraps an initial google.cloud.bigquery_datatransfer_v1.types.ListTransferLogsResponse object, and provides an __aiter__ method to iterate through its transfer_messages field.

If there are more pages, the __aiter__ method will make additional ListTransferLogs requests and continue to iterate through the transfer_messages field on the corresponding responses.

All the usual google.cloud.bigquery_datatransfer_v1.types.ListTransferLogsResponse attributes are available on the pager. If multiple requests are made, only the most recent response is retained, and thus used for attribute lookup.

Instantiates the pager.

Parameters

method (Callable) – The method that was originally called, and which instantiated this pager.
request (google.cloud.bigquery_datatransfer_v1.types.ListTransferLogsRequest) – The initial request object.
response (google.cloud.bigquery_datatransfer_v1.types.ListTransferLogsResponse) – The initial response object.
retry (google.api_core.retry.AsyncRetry) – 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.

class google.cloud.bigquery_datatransfer_v1.services.data_transfer_service.pagers.ListTransferLogsPager(method: Callable[[...], google.cloud.bigquery_datatransfer_v1.types.datatransfer.ListTransferLogsResponse], request: google.cloud.bigquery_datatransfer_v1.types.datatransfer.ListTransferLogsRequest, response: google.cloud.bigquery_datatransfer_v1.types.datatransfer.ListTransferLogsResponse, *, retry: Optional[Union[google.api_core.retry.retry_unary.Retry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ())[source]¶

A pager for iterating through list_transfer_logs requests.

This class thinly wraps an initial google.cloud.bigquery_datatransfer_v1.types.ListTransferLogsResponse object, and provides an __iter__ method to iterate through its transfer_messages field.

If there are more pages, the __iter__ method will make additional ListTransferLogs requests and continue to iterate through the transfer_messages field on the corresponding responses.

All the usual google.cloud.bigquery_datatransfer_v1.types.ListTransferLogsResponse attributes are available on the pager. If multiple requests are made, only the most recent response is retained, and thus used for attribute lookup.

Instantiate the pager.

Parameters

method (Callable) – The method that was originally called, and which instantiated this pager.
request (google.cloud.bigquery_datatransfer_v1.types.ListTransferLogsRequest) – The initial request object.
response (google.cloud.bigquery_datatransfer_v1.types.ListTransferLogsResponse) – The initial response object.
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.

class google.cloud.bigquery_datatransfer_v1.services.data_transfer_service.pagers.ListTransferRunsAsyncPager(method: Callable[[...], Awaitable[google.cloud.bigquery_datatransfer_v1.types.datatransfer.ListTransferRunsResponse]], request: google.cloud.bigquery_datatransfer_v1.types.datatransfer.ListTransferRunsRequest, response: google.cloud.bigquery_datatransfer_v1.types.datatransfer.ListTransferRunsResponse, *, retry: Optional[Union[google.api_core.retry.retry_unary_async.AsyncRetry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ())[source]¶

A pager for iterating through list_transfer_runs requests.

This class thinly wraps an initial google.cloud.bigquery_datatransfer_v1.types.ListTransferRunsResponse object, and provides an __aiter__ method to iterate through its transfer_runs field.

If there are more pages, the __aiter__ method will make additional ListTransferRuns requests and continue to iterate through the transfer_runs field on the corresponding responses.

All the usual google.cloud.bigquery_datatransfer_v1.types.ListTransferRunsResponse attributes are available on the pager. If multiple requests are made, only the most recent response is retained, and thus used for attribute lookup.

Instantiates the pager.

Parameters

method (Callable) – The method that was originally called, and which instantiated this pager.
request (google.cloud.bigquery_datatransfer_v1.types.ListTransferRunsRequest) – The initial request object.
response (google.cloud.bigquery_datatransfer_v1.types.ListTransferRunsResponse) – The initial response object.
retry (google.api_core.retry.AsyncRetry) – 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.

class google.cloud.bigquery_datatransfer_v1.services.data_transfer_service.pagers.ListTransferRunsPager(method: Callable[[...], google.cloud.bigquery_datatransfer_v1.types.datatransfer.ListTransferRunsResponse], request: google.cloud.bigquery_datatransfer_v1.types.datatransfer.ListTransferRunsRequest, response: google.cloud.bigquery_datatransfer_v1.types.datatransfer.ListTransferRunsResponse, *, retry: Optional[Union[google.api_core.retry.retry_unary.Retry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ())[source]¶

A pager for iterating through list_transfer_runs requests.

This class thinly wraps an initial google.cloud.bigquery_datatransfer_v1.types.ListTransferRunsResponse object, and provides an __iter__ method to iterate through its transfer_runs field.

If there are more pages, the __iter__ method will make additional ListTransferRuns requests and continue to iterate through the transfer_runs field on the corresponding responses.

All the usual google.cloud.bigquery_datatransfer_v1.types.ListTransferRunsResponse attributes are available on the pager. If multiple requests are made, only the most recent response is retained, and thus used for attribute lookup.

Instantiate the pager.

Parameters

method (Callable) – The method that was originally called, and which instantiated this pager.
request (google.cloud.bigquery_datatransfer_v1.types.ListTransferRunsRequest) – The initial request object.
response (google.cloud.bigquery_datatransfer_v1.types.ListTransferRunsResponse) – The initial response object.
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.

DataTransferService¶

google-cloud-bigquery-datatransfer

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