Managed Service for Apache Spark drops default Conda channels
The latest subminor image version for Managed Service for Apache Spark on Google Kubernetes Engine (3.5-dataproc-28) removes preconfigured Conda channels. This change requires users to manually configure Conda channels during cluster initialization for package installation, impacting existing and new clusters. Workloads must transition to image versions without preconfigured Conda channels by August 25, 2026, after which older versions will be disallowed.
Notes (1) ›
- Managed Service for Apache Spark
New Managed Service for Apache Spark on Google Kubernetes Engine (formerly Dataproc on Google Kubernetes Engine) subminor image version : 3.5-dataproc-28 Key updates in this image version include: Conda channels : The new 3.5-dataproc-28 subminor image version doesn't have preconfigured Conda channels, and is mapped to default aliases (such as 3.5 and latest ). Impact: When creating clusters with 3.5-dataproc-28 or using default aliases ( 3.5 , latest ), packages cannot be installed using Conda unless channels are manually configured during cluster initialization. Mitigation: If your workloads
https://docs.cloud.google.com/release-notes#July_30_2026
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