Client for interacting with BigQuery Storage API.

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

Returns the transport used by the client instance.

Instantiates the big query read client.

Releases underlying transport's resources.

Returns a fully-qualified billing_account string.

Returns a fully-qualified folder string.

Returns a fully-qualified location string.

Returns a fully-qualified organization string.

Returns a fully-qualified project string.

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.

Data is assigned to each stream such that roughly the same number of rows can be read from each stream. Because the server-side unit for assigning data is collections of rows, the API does not guarantee that each stream will return the same number or rows. Additionally, the limits are enforced based on the number of pre-filtered rows, so some filters can lead to lopsided assignments.

Read sessions automatically expire 6 hours after they are created and do not require manual clean-up by the caller.

# 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_storage_v1

def sample_create_read_session():
    # Create a client
    client = bigquery_storage_v1.BigQueryReadClient()

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

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

    # Handle the response
    print(response)

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

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

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

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.

Parse a billing_account path into its component segments.

Parse a folder path into its component segments.

Parse a location path into its component segments.

Parse a organization path into its component segments.

Parse a project path into its component segments.

Parses a read_session path into its component segments.

Parses a read_stream path into its component segments.

Parses a table path into its component segments.

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.

.. rubric:: Example

from google.cloud import bigquery_storage

client = bigquery_storage.BigQueryReadClient()

TODO: Initialize table:

table = "projects/{}/datasets/{}/tables/{}".format( ... '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'

requested_session = bigquery_storage.types.ReadSession( ... table=table, ... data_format=bigquery_storage.types.DataFormat.AVRO, ... ) session = client.create_read_session( ... parent=parent, read_session=requested_session ... )

stream = session.streams[0], # TODO: Also read any other streams. read_rows_stream = client.read_rows(stream.name)

for element in read_rows_stream.rows(session): ... # process element ... pass

Returns a fully-qualified read_session string.

Returns a fully-qualified read_stream string.

Splits a given ReadStream into two ReadStream objects. These ReadStream objects are referred to as the primary and the residual streams of the split. The original ReadStream can still be read from in the same manner as before. Both of the returned ReadStream objects can also be read from, and the rows returned 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 ReadStream. 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 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_storage_v1

def sample_split_read_stream():
    # Create a client
    client = bigquery_storage_v1.BigQueryReadClient()

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

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

    # Handle the response
    print(response)

Returns a fully-qualified table string.