Client for BigQuery Storage API#

class google.cloud.bigquery_storage_v1beta1.BigQueryStorageClient(transport=None, channel=None, credentials=None, client_config=None, client_info=None, client_options=None)[source]#

Client for interacting with BigQuery Storage API.

The BigQuery storage API can be used to read data stored in BigQuery.

Constructor.

Parameters
  • (Union[BigQueryStorageGrpcTransport, (transport) – Callable[[~.Credentials, type], ~.BigQueryStorageGrpcTransport]): A transport instance, responsible for actually making the API calls. The default transport uses the gRPC protocol. This argument may also be a callable which returns a transport instance. Callables will be sent the credentials as the first argument and the default transport class as the second argument.

  • channel (grpc.Channel) – DEPRECATED. A Channel instance through which to make calls. This argument is mutually exclusive with credentials; providing both will raise an exception.

  • credentials (google.auth.credentials.Credentials) – The authorization credentials to attach to requests. These credentials identify this application to the service. If none are specified, the client will attempt to ascertain the credentials from the environment. This argument is mutually exclusive with providing a transport instance to transport; doing so will raise an exception.

  • client_config (dict) – DEPRECATED. A dictionary of call options for each method. If not specified, the default configuration is used.

  • client_info (google.api_core.gapic_v1.client_info.ClientInfo) – The client info used to send a user-agent string along with API requests. If None, then default info will be used. Generally, you only need to set this if you’re developing your own client library.

  • client_options (Union[dict, google.api_core.client_options.ClientOptions]) – Client options used to set user options on the client. API Endpoint should be set through client_options.

batch_create_read_session_streams(session, requested_streams, retry=<object object>, timeout=<object object>, metadata=None)[source]#

Creates additional streams for a ReadSession. This API can be used to dynamically adjust the parallelism of a batch processing task upwards by adding additional workers.

Example

>>> from google.cloud import bigquery_storage_v1beta1
>>>
>>> client = bigquery_storage_v1beta1.BigQueryStorageClient()
>>>
>>> # TODO: Initialize `session`:
>>> session = {}
>>>
>>> # TODO: Initialize `requested_streams`:
>>> requested_streams = 0
>>>
>>> response = client.batch_create_read_session_streams(session, requested_streams)
Parameters
  • session (Union[dict, ReadSession]) –

    Required. Must be a non-expired session obtained from a call to CreateReadSession. Only the name field needs to be set.

    If a dict is provided, it must be of the same form as the protobuf message ReadSession

  • requested_streams (int) – Required. Number of new streams requested. Must be positive. Number of added streams may be less than this, see CreateReadSessionRequest for more information.

  • retry (Optional[google.api_core.retry.Retry]) – A retry object used to retry requests. If None is specified, requests will not be retried.

  • timeout (Optional[float]) – The amount of time, in seconds, to wait for the request to complete. Note that if retry is specified, the timeout applies to each individual attempt.

  • metadata (Optional[Sequence[Tuple[str, str]]]) – Additional metadata that is provided to the method.

Returns

A BatchCreateReadSessionStreamsResponse instance.

Raises
create_read_session(table_reference, parent, table_modifiers=None, requested_streams=None, read_options=None, format_=None, sharding_strategy=None, retry=<object object>, timeout=<object object>, metadata=None)[source]#

Creates a new read session. A read session divides the contents of a BigQuery table into one or more streams, which can then be used to read data from the table. The read session also specifies properties of the data to be read, such as a list of columns or a push-down filter describing the rows to be returned.

A particular row can be read by at most one stream. When the caller has reached the end of each stream in the session, then all the data in the table has been read.

Read sessions automatically expire 24 hours after they are created and do not require manual clean-up by the caller.

Example

>>> from google.cloud import bigquery_storage_v1beta1
>>>
>>> client = bigquery_storage_v1beta1.BigQueryStorageClient()
>>>
>>> # TODO: Initialize `table_reference`:
>>> table_reference = {}
>>>
>>> # TODO: Initialize `parent`:
>>> parent = ''
>>>
>>> response = client.create_read_session(table_reference, parent)
Parameters
  • table_reference (Union[dict, TableReference]) –

    Required. Reference to the table to read.

    If a dict is provided, it must be of the same form as the protobuf message TableReference

  • parent (str) – Required. String of the form projects/{project_id} indicating the project this ReadSession is associated with. This is the project that will be billed for usage.

  • table_modifiers (Union[dict, TableModifiers]) –

    Optional. Any modifiers to the Table (e.g. snapshot timestamp).

    If a dict is provided, it must be of the same form as the protobuf message TableModifiers

  • requested_streams (int) –

    Optional. Initial number of streams. If unset or 0, we will provide a value of streams so as to produce reasonable throughput. Must be non-negative. The number of streams may be lower than the requested number, depending on the amount parallelism that is reasonable for the table and the maximum amount of parallelism allowed by the system.

    Streams must be read starting from offset 0.

  • read_options (Union[dict, TableReadOptions]) –

    Optional. Read options for this session (e.g. column selection, filters).

    If a dict is provided, it must be of the same form as the protobuf message TableReadOptions

  • format_ (DataFormat) – Data output format. Currently default to Avro.

  • sharding_strategy (ShardingStrategy) – The strategy to use for distributing data among multiple streams. Currently defaults to liquid sharding.

  • retry (Optional[google.api_core.retry.Retry]) – A retry object used to retry requests. If None is specified, requests will not be retried.

  • timeout (Optional[float]) – The amount of time, in seconds, to wait for the request to complete. Note that if retry is specified, the timeout applies to each individual attempt.

  • metadata (Optional[Sequence[Tuple[str, str]]]) – Additional metadata that is provided to the method.

Returns

A ReadSession instance.

Raises
enums = <module 'google.cloud.bigquery_storage_v1beta1.gapic.enums' from '/usr/local/lib/python3.7/site-packages/google/cloud/bigquery_storage_v1beta1/gapic/enums.py'>#
finalize_stream(stream, retry=<object object>, timeout=<object object>, metadata=None)[source]#

Triggers the graceful termination of a single stream in a ReadSession. This API can be used to dynamically adjust the parallelism of a batch processing task downwards without losing data.

This API does not delete the stream – it remains visible in the ReadSession, and any data processed by the stream is not released to other streams. However, no additional data will be assigned to the stream once this call completes. Callers must continue reading data on the stream until the end of the stream is reached so that data which has already been assigned to the stream will be processed.

This method will return an error if there are no other live streams in the Session, or if SplitReadStream() has been called on the given Stream.

Example

>>> from google.cloud import bigquery_storage_v1beta1
>>>
>>> client = bigquery_storage_v1beta1.BigQueryStorageClient()
>>>
>>> # TODO: Initialize `stream`:
>>> stream = {}
>>>
>>> client.finalize_stream(stream)
Parameters
  • stream (Union[dict, Stream]) –

    Stream to finalize.

    If a dict is provided, it must be of the same form as the protobuf message Stream

  • retry (Optional[google.api_core.retry.Retry]) – A retry object used to retry requests. If None is specified, requests will not be retried.

  • timeout (Optional[float]) – The amount of time, in seconds, to wait for the request to complete. Note that if retry is specified, the timeout applies to each individual attempt.

  • metadata (Optional[Sequence[Tuple[str, str]]]) – Additional metadata that is provided to the method.

Raises
classmethod from_service_account_file(filename, *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

BigQueryStorageClient

classmethod from_service_account_json(filename, *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

BigQueryStorageClient

read_rows(read_position, retry=<object object>, timeout=<object object>, metadata=None)[source]#

Reads rows from the table in the format prescribed by the read session. Each response contains one or more table rows, up to a maximum of 10 MiB per response; read requests which attempt to read individual rows larger than this will fail.

Each request also returns a set of stream statistics reflecting the estimated total number of rows in the read stream. This number is computed based on the total table size and the number of active streams in the read session, and may change as other streams continue to read data.

Example

>>> from google.cloud import bigquery_storage_v1beta1
>>>
>>> client = bigquery_storage_v1beta1.BigQueryStorageClient()
>>>
>>> # TODO: Initialize ``table_reference``:
>>> table_reference = {
...     'project_id': 'your-data-project-id',
...     'dataset_id': 'your_dataset_id',
...     'table_id': 'your_table_id',
... }
>>>
>>> # TODO: Initialize `parent`:
>>> parent = 'projects/your-billing-project-id'
>>>
>>> session = client.create_read_session(table_reference, parent)
>>> read_position = bigquery_storage_v1beta1.types.StreamPosition(
...     stream=session.streams[0],  # TODO: Read the other streams.
... )
>>>
>>> for element in client.read_rows(read_position):
...     # process element
...     pass
Parameters
  • read_position (Union[ dict, StreamPosition ]) – Required. Identifier of the position in the stream to start reading from. The offset requested must be less than the last row read from ReadRows. Requesting a larger offset is undefined. If a dict is provided, it must be of the same form as the protobuf message StreamPosition

  • retry (Optional[google.api_core.retry.Retry]) – A retry object used to retry requests. If None is specified, requests will not be retried.

  • timeout (Optional[float]) – The amount of time, in seconds, to wait for the request to complete. Note that if retry is specified, the timeout applies to each individual attempt.

  • metadata (Optional[Sequence[Tuple[str, str]]]) – Additional metadata that is provided to the method.

Returns

An iterable of ReadRowsResponse.

Return type

ReadRowsStream

Raises
split_read_stream(original_stream, fraction=None, retry=<object object>, timeout=<object object>, metadata=None)[source]#

Splits a given read stream into two Streams. These streams are referred to as the primary and the residual of the split. The original stream can still be read from in the same manner as before. Both of the returned streams can also be read from, and the total rows return by both child streams will be the same as the rows read from the original stream.

Moreover, the two child streams will be allocated back to back in the original Stream. Concretely, it is guaranteed that for streams Original, Primary, and Residual, that Original[0-j] = Primary[0-j] and Original[j-n] = Residual[0-m] once the streams have been read to completion.

This method is guaranteed to be idempotent.

Example

>>> from google.cloud import bigquery_storage_v1beta1
>>>
>>> client = bigquery_storage_v1beta1.BigQueryStorageClient()
>>>
>>> # TODO: Initialize `original_stream`:
>>> original_stream = {}
>>>
>>> response = client.split_read_stream(original_stream)
Parameters
  • original_stream (Union[dict, Stream]) –

    Stream to split.

    If a dict is provided, it must be of the same form as the protobuf message Stream

  • fraction (float) – A value in the range (0.0, 1.0) that specifies the fractional point at which the original stream should be split. The actual split point is evaluated on pre-filtered rows, so if a filter is provided, then there is no guarantee that the division of the rows between the new child streams will be proportional to this fractional value. Additionally, because the server-side unit for assigning data is collections of rows, this fraction will always map to to a data storage boundary on the server side.

  • retry (Optional[google.api_core.retry.Retry]) – A retry object used to retry requests. If None is specified, requests will not be retried.

  • timeout (Optional[float]) – The amount of time, in seconds, to wait for the request to complete. Note that if retry is specified, the timeout applies to each individual attempt.

  • metadata (Optional[Sequence[Tuple[str, str]]]) – Additional metadata that is provided to the method.

Returns

A SplitReadStreamResponse instance.

Raises