March 18, 2024

[github-actions]

Libraries

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

Node.js

Changes for @google-cloud/bigquery

7.5.1 (2024-03-14)

Bug Fixes

• Add better documentation around usage of BigQueryTimestamp class and .timestamp method. ( 2b2c3e0)
• BigQueryTimestamp should keep accepting floats #1339 ( 2b2c3e0)
• Restores BigQueryTimestamp behavior to accept a numeric value in the constructor representing epoch-seconds. The affected 7.5.0 version would parse a numeric value as epoch-microseconds. ( 2b2c3e0)

Python

Changes for google-cloud-bigquery

3.19.0 (2024-03-11)

Features

• Support RANGE query parameters ( #1827) ( b359a9a)
• Support range sql ( #1807) ( 86a45c9)

Bug Fixes

• Add google-auth as a direct dependency ( 713ce2c)
• Augment universe_domain handling ( #1837) ( 53c2cbf)
• deps: Require google-api-core>=1.34.1, >=2.11.0 ( 713ce2c)
• Supplementary fix to env-based universe resolution ( #1844) ( b818992)
• Supplementary fix to env-based universe resolution ( #1847) ( 6dff50f)

Feature

You can now undelete a dataset that is within your time travel window to recover it to the state that it was in when it was deleted. This feature is in preview.

Feature

These BigQuery features are now
generally available
(GA):

Text analysis configuration options
for the following:

• CREATE SEARCH INDEX DDL
• Existing
  LOG_ANALYZER
  and new
  PATTERN_ANALYZER
  analyzers, which are used in various functions, including
  SEARCH
• The
  TEXT_ANALYZE
  function

The following advanced processing functions:

• ML.BAG_OF_WORDS
• ML.TF_IDF
• BAG_OF_WORDS
• TF_IDF
• COSINE_DISTANCE
• EUCLIDEAN_DISTANCE
• EDIT_DISTANCE

Feature

You can now perform hierarchical forecasts in BigQuery ML
time series models,
which let you aggregate and roll up values for all time series in the model.
This feature is
generally available
(GA).

https://cloud.google.com/bigquery/docs/release-notes#March_18_2024