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Posted to reviews@spark.apache.org by GitBox <gi...@apache.org> on 2022/02/09 06:30:01 UTC

[GitHub] [spark] HeartSaVioR commented on pull request #34089: [SPARK-36837][BUILD] Upgrade Kafka to 3.1.0

HeartSaVioR commented on pull request #34089:
URL: https://github.com/apache/spark/pull/34089#issuecomment-1033397906


   Sorry for the post-review. I'm not a PMC member so I have no idea about the discussion history in private@ (apologize if there were discussions and decisions about this), but have we discussed thoughtfully about dependency upgrades?
   
   IMHO, when we deal with major upgrade, I'd like to see thoughtful experiments on production usage (at least stage) for while before getting into it. Kafka 3.1 was released just 2 weeks ago while Kafka 3.0 was released around 4 months ago (which is still a bit short term to stabilize), so I'd feel safer on 3.0.x.
   (If there was no release on 3.0.x, I'm not sure what happens. We may want to see why they didn't go through bugfix versions and just go through new minor version. Did they figure out any critical/blocker issues about Kafka 3.0 after release? If then isn't it normal to have a bugfix version instead?)
   
   One question: Have anyone apply Kafka 3.1 (not about cluster but about client) in stage/production and track the stability of the streaming queries? We are jumping from Kafka 2.8.0 to 3.1.0, one major and another minor.


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