Libraries

A weekly digest of client library updates from across the Cloud SDK.

Go

Changes for bigquery/storage/apiv1beta1

1.57.1 (2023-11-01)

Bug Fixes

• bigquery: Correct deps issue ( #8958) ( abd6ca7)

1.57.0 (2023-10-30)

Features

• bigquery/biglake: Promote to GA ( e864fbc)
• bigquery/storage/managedwriter: Support default value controls ( #8686) ( dfa8e22)
• bigquery: Expose Apache Arrow data through ArrowIterator ( #8506) ( c8e7692), refs #8100
• bigquery: Introduce query preview features ( #8653) ( f29683b)

Bug Fixes

• bigquery: Handle storage read api Recv call errors ( #8666) ( c73963f)
• bigquery: Update golang.org/x/net to v0.17.0 ( 174da47)
• bigquery: Update grpc-go to v1.56.3 ( 343cea8)
• bigquery: Update grpc-go to v1.59.0 ( 81a97b0)

Python

Changes for google-cloud-bigquery

3.13.0 (2023-10-30)

Features

• Add Model.transform_columns property ( #1661) ( 5ceed05)
• Add support for dataset.default_rounding_mode ( #1688) ( 83bc768)

Bug Fixes

• AccessEntry API representation parsing ( #1682) ( a40d7ae)

Documentation

• Remove redundant bigquery_update_table_expiration code sample ( #1673) ( 2dded33)
• Revised create_partitioned_table sample ( #1447) ( 40ba859)
• Revised relax column mode sample ( #1467) ( b8c9276)

Feature

The BigQuery Data Transfer Service can now transfer campaign reporting and configuration data from Display & Video 360 into BigQuery. This feature is in preview.

Feature

The following BigQuery ML features for time series forecasting are now
generally available (GA):

• Ensure forecasted values fall within specified limits. The
  FORECAST_LIMIT_LOWER_BOUND
  and FORECAST_LIMIT_UPPER_BOUND
  options of the
  CREATE MODEL
  statement let you set the lower and upper bounds of the forecasted values
  returned by the model.

  Try this feature with the
  Limit forecasted values for a time series model tutorial.

• Custom holiday modeling:

  • CREATE MODEL syntax
    lets you specify
    custom holiday modeling
    for time series models.
  • The
    ML.HOLIDAY_INFO function returns the list of holidays being modeled by an
    ARIMA_PLUS
    or
    ARIMA_PLUS_XREG
    time series forecasting model.
  • The updated
    ML.EXPLAIN_FORECAST function
    includes an explanation of the holiday effect for each holiday included in
    the model.

Try this feature with the
Use custom holidays in a time-series forecasting model
tutorial.

https://cloud.google.com/bigquery/docs/release-notes#November_06_2023