June 17, 2024

[github-actions]

Libraries

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

Java

Changes for google-cloud-bigquery

2.40.3 (2024-06-12)

Dependencies

• Update actions/checkout action to v4.1.6 ( #3309) ( c7d6362)
• Update dependency com.google.api.grpc:proto-google-cloud-bigqueryconnection-v1 to v2.46.0 ( #3328) ( a6661ad)
• Update dependency com.google.api.grpc:proto-google-cloud-bigqueryconnection-v1 to v2.47.0 ( #3342) ( 79e34c2)
• Update dependency com.google.cloud:google-cloud-datacatalog-bom to v1.50.0 ( #3330) ( cabb0ab)
• Update dependency com.google.cloud:google-cloud-datacatalog-bom to v1.51.0 ( #3343) ( e3b934f)
• Update dependency com.google.cloud:sdk-platform-java-config to v3.31.0 ( #3335) ( 0623455)
• Update dependency com.google.oauth-client:google-oauth-client-java6 to v1.36.0 ( #3305) ( d05e554)
• Update dependency com.google.oauth-client:google-oauth-client-jetty to v1.36.0 ( #3306) ( 0eeed66)
• Update dependency org.graalvm.buildtools:junit-platform-native to v0.10.2 ( #3311) ( 3912a92)
• Update dependency org.graalvm.buildtools:native-maven-plugin to v0.10.2 ( #3312) ( 9737a5d)
• Update github/codeql-action action to v2.25.6 ( #3307) ( 8999d33)
• Update github/codeql-action action to v2.25.7 ( #3334) ( 768342d)
• Update github/codeql-action action to v2.25.8 ( #3338) ( 8673fe5)

Feature

You can now perform
supervised tuning
on a BigQuery ML remote model based on a
gemini-1.0-pro-002 model.
This feature is in
preview.
To try this feature, see
Tune a model using your data.

You can also perform supervised tuning by using the
BigQuery DataFrames Python API.
Use the fit() and score() methods in the
bigframes.ml.llm.GeminiTextGenerator model class
to perform supervised tuning.

Announcement

Global rate limits on BigQuery Omni connection creation and use have replaced the regional limits on AWS and Azure connections.

https://cloud.google.com/bigquery/docs/release-notes#June_17_2024