Class BigQueryWriteAsyncClient (2.14.2)

BigQueryWriteAsyncClient(*, credentials: Optional[google.auth.credentials.Credentials] = None, transport: Union[str, google.cloud.bigquery_storage_v1.services.big_query_write.transports.base.BigQueryWriteTransport] = 'grpc_asyncio', client_options: Optional[google.api_core.client_options.ClientOptions] = None, client_info: google.api_core.gapic_v1.client_info.ClientInfo = <google.api_core.gapic_v1.client_info.ClientInfo object>)

BigQuery Write API. The Write API can be used to write data to BigQuery. For supplementary information about the Write API, see: https://cloud.google.com/bigquery/docs/write-api

Properties

transport

Returns the transport used by the client instance.

Returns

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

Methods

BigQueryWriteAsyncClient

BigQueryWriteAsyncClient(*, credentials: Optional[google.auth.credentials.Credentials] = None, transport: Union[str, google.cloud.bigquery_storage_v1.services.big_query_write.transports.base.BigQueryWriteTransport] = 'grpc_asyncio', client_options: Optional[google.api_core.client_options.ClientOptions] = None, client_info: google.api_core.gapic_v1.client_info.ClientInfo = <google.api_core.gapic_v1.client_info.ClientInfo object>)

Instantiates the big query write client.

Parameters

Name	Description
`credentials`	`Optional[google.auth.credentials.Credentials]` The authorization credentials to attach to requests. These credentials identify the application to the service; if none are specified, the client will attempt to ascertain the credentials from the environment.
`transport`	`Union[str, .BigQueryWriteTransport]` The transport to use. If set to None, a transport is chosen automatically.
`client_options`	`ClientOptions` Custom options for the client. It won't take effect if a `transport` instance is provided. (1) The `api_endpoint` property can be used to override the default endpoint provided by the client. GOOGLE_API_USE_MTLS_ENDPOINT environment variable can also be used to override the endpoint: "always" (always use the default mTLS endpoint), "never" (always use the default regular endpoint) and "auto" (auto switch to the default mTLS endpoint if client certificate is present, this is the default value). However, the `api_endpoint` property takes precedence if provided. (2) If GOOGLE_API_USE_CLIENT_CERTIFICATE environment variable is "true", then the `client_cert_source` property can be used to provide client certificate for mutual TLS transport. If not provided, the default SSL client certificate will be used if present. If GOOGLE_API_USE_CLIENT_CERTIFICATE is "false" or not set, no client certificate will be used.

Exceptions

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

append_rows

append_rows(requests: Optional[AsyncIterator[google.cloud.bigquery_storage_v1.types.storage.AppendRowsRequest]] = None, *, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())

Appends data to the given stream.

If offset is specified, the offset is checked against the end of stream. The server returns OUT_OF_RANGE in AppendRowsResponse if an attempt is made to append to an offset beyond the current end of the stream or ALREADY_EXISTS if user provides an offset that has already been written to. User can retry with adjusted offset within the same RPC connection. If offset is not specified, append happens at the end of the stream.

The response contains an optional offset at which the append happened. No offset information will be returned for appends to a default stream.

Responses are received in the same order in which requests are sent. There will be one response for each successful inserted request. Responses may optionally embed error information if the originating AppendRequest was not successfully processed.

The specifics of when successfully appended data is made visible to the table are governed by the type of stream:

For COMMITTED streams (which includes the default stream), data is visible immediately upon successful append.
For BUFFERED streams, data is made visible via a subsequent FlushRows rpc which advances a cursor to a newer offset in the stream.
For PENDING streams, data is not made visible until the stream itself is finalized (via the FinalizeWriteStream rpc), and the stream is explicitly committed via the BatchCommitWriteStreams rpc.

Note: For users coding against the gRPC api directly, it may be necessary to supply the x-goog-request-params system parameter with write_stream=<full_write_stream_name>.

More information about system parameters: https://cloud.google.com/apis/docs/system-parameters

from google.cloud import bigquery_storage_v1

async def sample_append_rows():
    # Create a client
    client = bigquery_storage_v1.BigQueryWriteAsyncClient()

    # Initialize request argument(s)
    request = bigquery_storage_v1.AppendRowsRequest(
        write_stream="write_stream_value",
    )

    # This method expects an iterator which contains
    # 'bigquery_storage_v1.AppendRowsRequest' objects
    # Here we create a generator that yields a single `request` for
    # demonstrative purposes.
    requests = [request]

    def request_generator():
        for request in requests:
            yield request

    # Make the request
    stream = await client.append_rows(requests=request_generator())

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

Parameters

Name	Description
`requests`	`AsyncIterator[google.cloud.bigquery_storage_v1.types.AppendRowsRequest]` The request object AsyncIterator. Request message for `AppendRows`. Due to the nature of AppendRows being a bidirectional streaming RPC, certain parts of the AppendRowsRequest need only be specified for the first request sent each time the gRPC network connection is opened/reopened. The size of a single AppendRowsRequest must be less than 10 MB in size. Requests larger than this return an error, typically `INVALID_ARGUMENT`.
`retry`	`google.api_core.retry.Retry` Designation of what errors, if any, should be retried.
`timeout`	`float` The timeout for this request.
`metadata`	`Sequence[Tuple[str, str]]` Strings which should be sent along with the request as metadata.

Returns

Type	Description
`AsyncIterable[google.cloud.bigquery_storage_v1.types.AppendRowsResponse]`	Response message for AppendRows.

batch_commit_write_streams

batch_commit_write_streams(request: Optional[Union[google.cloud.bigquery_storage_v1.types.storage.BatchCommitWriteStreamsRequest, dict]] = None, *, parent: Optional[str] = None, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())

Atomically commits a group of PENDING streams that belong to the same parent table.

Streams must be finalized before commit and cannot be committed multiple times. Once a stream is committed, data in the stream becomes available for read operations.

from google.cloud import bigquery_storage_v1

async def sample_batch_commit_write_streams():
    # Create a client
    client = bigquery_storage_v1.BigQueryWriteAsyncClient()

    # Initialize request argument(s)
    request = bigquery_storage_v1.BatchCommitWriteStreamsRequest(
        parent="parent_value",
        write_streams=['write_streams_value_1', 'write_streams_value_2'],
    )

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

    # Handle the response
    print(response)

Parameters

Name	Description
`request`	`Union[google.cloud.bigquery_storage_v1.types.BatchCommitWriteStreamsRequest, dict]` The request object. Request message for `BatchCommitWriteStreams`.
`parent`	`str` Required. Parent table that all the streams should belong to, in the form of `projects/{project}/datasets/{dataset}/tables/{table}`. This corresponds to the `parent` field on the `request` instance; if `request` is provided, this should not be set.
`retry`	`google.api_core.retry.Retry` Designation of what errors, if any, should be retried.
`timeout`	`float` The timeout for this request.
`metadata`	`Sequence[Tuple[str, str]]` Strings which should be sent along with the request as metadata.

Returns

Type	Description
`google.cloud.bigquery_storage_v1.types.BatchCommitWriteStreamsResponse`	Response message for BatchCommitWriteStreams.

common_billing_account_path

common_billing_account_path(billing_account: str)

Returns a fully-qualified billing_account string.

common_folder_path

common_folder_path(folder: str)

Returns a fully-qualified folder string.

common_location_path

common_location_path(project: str, location: str)

Returns a fully-qualified location string.

common_organization_path

common_organization_path(organization: str)

Returns a fully-qualified organization string.

common_project_path

common_project_path(project: str)

Returns a fully-qualified project string.

create_write_stream

create_write_stream(request: Optional[Union[google.cloud.bigquery_storage_v1.types.storage.CreateWriteStreamRequest, dict]] = None, *, parent: Optional[str] = None, write_stream: Optional[google.cloud.bigquery_storage_v1.types.stream.WriteStream] = None, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())

Creates a write stream to the given table. Additionally, every table has a special stream named '_default' to which data can be written. This stream doesn't need to be created using CreateWriteStream. It is a stream that can be used simultaneously by any number of clients. Data written to this stream is considered committed as soon as an acknowledgement is received.

from google.cloud import bigquery_storage_v1

async def sample_create_write_stream():
    # Create a client
    client = bigquery_storage_v1.BigQueryWriteAsyncClient()

    # Initialize request argument(s)
    request = bigquery_storage_v1.CreateWriteStreamRequest(
        parent="parent_value",
    )

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

    # Handle the response
    print(response)

Parameters

Name	Description
`request`	`Union[google.cloud.bigquery_storage_v1.types.CreateWriteStreamRequest, dict]` The request object. Request message for `CreateWriteStream`.
`parent`	`str` Required. Reference to the table to which the stream belongs, in the format of `projects/{project}/datasets/{dataset}/tables/{table}`. This corresponds to the `parent` field on the `request` instance; if `request` is provided, this should not be set.
`write_stream`	`WriteStream` Required. Stream to be created. This corresponds to the `write_stream` field on the `request` instance; if `request` is provided, this should not be set.
`retry`	`google.api_core.retry.Retry` Designation of what errors, if any, should be retried.
`timeout`	`float` The timeout for this request.
`metadata`	`Sequence[Tuple[str, str]]` Strings which should be sent along with the request as metadata.

Returns

Type	Description
`google.cloud.bigquery_storage_v1.types.WriteStream`	Information about a single stream that gets data inside the storage system.

finalize_write_stream

finalize_write_stream(request: Optional[Union[google.cloud.bigquery_storage_v1.types.storage.FinalizeWriteStreamRequest, dict]] = None, *, name: Optional[str] = None, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())

Finalize a write stream so that no new data can be appended to the stream. Finalize is not supported on the '_default' stream.

from google.cloud import bigquery_storage_v1

async def sample_finalize_write_stream():
    # Create a client
    client = bigquery_storage_v1.BigQueryWriteAsyncClient()

    # Initialize request argument(s)
    request = bigquery_storage_v1.FinalizeWriteStreamRequest(
        name="name_value",
    )

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

    # Handle the response
    print(response)

Parameters

Name	Description
`request`	`Union[google.cloud.bigquery_storage_v1.types.FinalizeWriteStreamRequest, dict]` The request object. Request message for invoking `FinalizeWriteStream`.
`name`	`str` Required. Name of the stream to finalize, in the form of `projects/{project}/datasets/{dataset}/tables/{table}/streams/{stream}`. This corresponds to the `name` field on the `request` instance; if `request` is provided, this should not be set.
`retry`	`google.api_core.retry.Retry` Designation of what errors, if any, should be retried.
`timeout`	`float` The timeout for this request.
`metadata`	`Sequence[Tuple[str, str]]` Strings which should be sent along with the request as metadata.

Returns

Type	Description
`google.cloud.bigquery_storage_v1.types.FinalizeWriteStreamResponse`	Response message for FinalizeWriteStream.

flush_rows

flush_rows(request: Optional[Union[google.cloud.bigquery_storage_v1.types.storage.FlushRowsRequest, dict]] = None, *, write_stream: Optional[str] = None, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())

Flushes rows to a BUFFERED stream.

If users are appending rows to BUFFERED stream, flush operation is required in order for the rows to become available for reading. A Flush operation flushes up to any previously flushed offset in a BUFFERED stream, to the offset specified in the request.

Flush is not supported on the _default stream, since it is not BUFFERED.

from google.cloud import bigquery_storage_v1

async def sample_flush_rows():
    # Create a client
    client = bigquery_storage_v1.BigQueryWriteAsyncClient()

    # Initialize request argument(s)
    request = bigquery_storage_v1.FlushRowsRequest(
        write_stream="write_stream_value",
    )

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

    # Handle the response
    print(response)

Parameters

Name	Description
`request`	`Union[google.cloud.bigquery_storage_v1.types.FlushRowsRequest, dict]` The request object. Request message for `FlushRows`.
`write_stream`	`str` Required. The stream that is the target of the flush operation. This corresponds to the `write_stream` field on the `request` instance; if `request` is provided, this should not be set.
`retry`	`google.api_core.retry.Retry` Designation of what errors, if any, should be retried.
`timeout`	`float` The timeout for this request.
`metadata`	`Sequence[Tuple[str, str]]` Strings which should be sent along with the request as metadata.

Returns

Type	Description
`google.cloud.bigquery_storage_v1.types.FlushRowsResponse`	Respond message for FlushRows.

from_service_account_file

from_service_account_file(filename: str, *args, **kwargs)

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

Parameter

Name	Description
`filename`	`str` The path to the service account private key json file.

Returns

Type	Description
`BigQueryWriteAsyncClient`	The constructed client.

from_service_account_info

from_service_account_info(info: dict, *args, **kwargs)

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

Parameter

Name	Description
`info`	`dict` The service account private key info.

Returns

Type	Description
`BigQueryWriteAsyncClient`	The constructed client.

from_service_account_json

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

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

Parameter

Name	Description
`filename`	`str` The path to the service account private key json file.

Returns

Type	Description
`BigQueryWriteAsyncClient`	The constructed client.

get_mtls_endpoint_and_cert_source

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

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

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

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

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

Parameter

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

Exceptions

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

Returns

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

get_transport_class

get_transport_class()

Returns an appropriate transport class.

get_write_stream

get_write_stream(request: Optional[Union[google.cloud.bigquery_storage_v1.types.storage.GetWriteStreamRequest, dict]] = None, *, name: Optional[str] = None, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())

Gets information about a write stream.

from google.cloud import bigquery_storage_v1

async def sample_get_write_stream():
    # Create a client
    client = bigquery_storage_v1.BigQueryWriteAsyncClient()

    # Initialize request argument(s)
    request = bigquery_storage_v1.GetWriteStreamRequest(
        name="name_value",
    )

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

    # Handle the response
    print(response)

Parameters

Name	Description
`request`	`Union[google.cloud.bigquery_storage_v1.types.GetWriteStreamRequest, dict]` The request object. Request message for `GetWriteStreamRequest`.
`name`	`str` Required. Name of the stream to get, in the form of `projects/{project}/datasets/{dataset}/tables/{table}/streams/{stream}`. This corresponds to the `name` field on the `request` instance; if `request` is provided, this should not be set.
`retry`	`google.api_core.retry.Retry` Designation of what errors, if any, should be retried.
`timeout`	`float` The timeout for this request.
`metadata`	`Sequence[Tuple[str, str]]` Strings which should be sent along with the request as metadata.

Returns

Type	Description
`google.cloud.bigquery_storage_v1.types.WriteStream`	Information about a single stream that gets data inside the storage system.

parse_common_billing_account_path

parse_common_billing_account_path(path: str)

Parse a billing_account path into its component segments.

parse_common_folder_path

parse_common_folder_path(path: str)

Parse a folder path into its component segments.

parse_common_location_path

parse_common_location_path(path: str)

Parse a location path into its component segments.

parse_common_organization_path

parse_common_organization_path(path: str)

Parse a organization path into its component segments.

parse_common_project_path

parse_common_project_path(path: str)

Parse a project path into its component segments.

parse_table_path

parse_table_path(path: str)

Parses a table path into its component segments.

parse_write_stream_path

parse_write_stream_path(path: str)

Parses a write_stream path into its component segments.

table_path

table_path(project: str, dataset: str, table: str)

Returns a fully-qualified table string.

write_stream_path

write_stream_path(project: str, dataset: str, table: str, stream: str)

Returns a fully-qualified write_stream string.