-
Notifications
You must be signed in to change notification settings - Fork 1
Description
Libraries
A weekly digest of client library updates from across the Cloud SDK.
Java
Changes for google-cloud-bigquery
2.50.0 (2025-05-06)
Features
- Add WRITE_TRUNCATE_DATA as an enum value for write disposition ( #3752) ( acea61c)
- bigquery: Add support for reservation field in jobs. ( #3768) ( 3e97f7c)
Dependencies
- Update dependency com.google.api.grpc:proto-google-cloud-bigqueryconnection-v1 to v2.63.0 ( #3770) ( 934389e)
- Update dependency com.google.apis:google-api-services-bigquery to v2-rev20250404-2.0.0 ( #3754) ( 1381c8f)
- Update dependency com.google.apis:google-api-services-bigquery to v2-rev20250427-2.0.0 ( #3773) ( c0795fe)
- Update dependency com.google.cloud:sdk-platform-java-config to v3.46.3 ( #3772) ( ab166b6)
- Update dependency com.google.cloud:sdk-platform-java-config to v3.47.0 ( #3779) ( b27434b)
Feature
BigQuery resource utilization charts have the following changes:
- The default timeline shown in the event timeline chart has changed from one to six hours.
- Several improvements have been made to the views, including a new reservation slot usage view. This view helps monitor idle, baseline, and autoscaled slot usage.
This feature is in Preview.
Feature
You can now view the Query text section in a BigQuery execution graph to understand how the stage steps are related to the query text. This feature is in preview.
Feature
You can now use BigQuery and BigQuery DataFrames to enable multimodal analysis, transformation, and data engineering (ELT) workflows in both SQL and Python. Use multimodal data features to do the following:
-
Integrate unstructured data into standard tables by using
ObjectRefvalues, and then work with this data in analysis and transformation workflows by usingObjectRefRuntimevalues. -
Use generative AI to analyze multimodal data and generate embeddings by using
BigQuery ML SQL functions or BigQuery DataFrames methods
with Gemini and multimodal embedding models. -
Create multimodal DataFrames in BigQuery DataFrames, and then use object transformation methods to transform images and chunk PDF files.
-
Use Python user-defined functions (UDFs) to transform images and chunk PDF files.
This feature is in Preview.
https://cloud.google.com/bigquery/docs/release-notes#May_12_2025