Maintained with ☕️ by
IcePanel logo

You can now batch migrate classic saved queries to saved queries

Share

Services

## Feature You can now [batch migrate classic saved queries to saved queries](https://cloud.google.com/bigquery/docs/manage-saved-queries#migrate%5Fclassic%5Fsaved%5Fqueries). This feature is in [Preview](https://cloud.google.com/products#product-launch-stages) for projects that have fewer than 2500 classic saved queries. ## Library A weekly digest of client library updates from across the [Cloud SDK](https://cloud.google.com/sdk). ### Java ### Changes for [google-cloud-bigquery](https://github.com/googleapis/java-bigquery) #### [2.42.3](https://github.com/googleapis/java-bigquery/compare/v2.42.2...v2.42.3) (2024-09-12) ##### Dependencies * Update actions/upload-artifact action to v4.4.0 ([#3467](https://github.com/googleapis/java-bigquery/issues/3467)) ([08b28c5](https://github.com/googleapis/java-bigquery/commit/08b28c510a2280119a03da3caa385ec31e0c944c)) * Update dependency com.google.cloud:sdk-platform-java-config to v3.35.0 ([#3472](https://github.com/googleapis/java-bigquery/issues/3472)) ([fa9ac5d](https://github.com/googleapis/java-bigquery/commit/fa9ac5d73ec4f21ab7d12949e413b4ee9d11aa6d)) ## Feature You can now use a[CREATE MODEL statement](https://cloud.google.com/bigquery/docs/reference/standard-sql/bigqueryml-syntax-create-contribution-analysis)to create a[contribution analysis](https://cloud.google.com/bigquery/docs/contribution-analysis)model in BigQuery ML. You can use a contribution analysis model with the[ML.GET\_INSIGHTS function](https://cloud.google.com/bigquery/docs/reference/standard-sql/bigqueryml-syntax-get-insights)to generate insights about changes to key metrics in your multi-dimensional data. Try this feature with the[Get data insights from a contribution analysis model](https://cloud.google.com/bigquery/docs/get-contribution-analysis-insights)tutorial. This feature is in[preview](https://cloud.google.com//products/#product-launch-stages). ## Feature You can [store columns](https://cloud.google.com/bigquery/docs/vector-index#stored-columns) in your vector indexes and pre-filter data in your [vector searches](https://cloud.google.com/bigquery/docs/reference/standard-sql/search%5Ffunctions#vector%5Fsearch) to improve query efficiency. This feature is [Generally Available](https://cloud.google.com/products#product-launch-stages).