Managed Service for Apache Spark Runtime Updates
datagcp
announcement
Google Cloud is announcing updates to its Managed Service for Apache Spark with new subminor runtime versions. These updates include enabled Spark skewed-join and self-join optimizations by default, aiming to improve query performance. This announcement is relevant to users of the Managed Service for Apache Spark on Google Cloud.
Notes (1) ›
- Managed Service for Apache Spark
New Managed Service for Apache Spark (formerly Google Cloud Serverless for Apache Spark) subminor runtime versions : 1.2.82 2.2.82 2.3.35 Key updates in these runtime versions include: Spark optimizations : Enabled Spark skewed-join and self-join optimizations by default.
Read the original announcement →
https://docs.cloud.google.com/release-notes#June_09_2026