We are excited to announce that the stable releases for Charmed Apache Spark across tracks 3.4, 3.5, and 4.0 are now officially available! ![]()
Following our recent candidate releases announcement, we have consolidated feedback, finalized testing, and promoted the candidate revisions to the stable channel.
A Major Milestone: Spark 4.0 Hits Stable!
Most notably, this update marks the very first stable release for Apache Spark 4.0 in the Charmed ecosystem! ![]()
Bringing the next generation of Apache Spark into the stable channel is a big step forward. Users can now run Spark 4 workloads in production environments with full Juju automation, day-2 operational management, and enterprise-grade lifecycle support.
Whatβs New Across the Tracks?
These release most notably brings the support for a Charmed Apache Spark Terraform Module to deliver a seamless, production-ready and fully open-source data lake experience, across the various tracks. Moreover, the new releases also bring key stability fixes, performance enhancements, and security patches across all supported tracks.
Check out the official release notes for track-specific details, compatibility matrices, and full changelogs:
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Track 4.0 (Revision 7 - first stable release in the track): Release Notes & Documentation
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Track 3.5 (Revision 6): Release Notes & Documentation
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Track 3.4 (Revision 5): Release Notes & Documentation
How to Get Started
If you are new to Charmed Apache Spark or want to spin up a fresh environment with the latest stable releases, head over to our step-by-step Tutorial Documentation.
The tutorial guides you through environment setup, deploying the Charmed Spark components via Juju, configuring the spark-client snap on your desired track (such as 4.0/stable), and running your first Spark jobs on Kubernetes.
Feedback and Community
Your feedback helps us continuously improve Charmed Apache Spark. If you run into any issues, have questions, or want to share your experience testing Spark 4.0 in production, feel free to:
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Reach out here on Discourse
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Chat with us on Matrix
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File bug reports or feature requests on our GitHub Repository