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Posted to reviews@spark.apache.org by GitBox <gi...@apache.org> on 2022/11/18 18:46:55 UTC

[GitHub] [spark] tedyu opened a new pull request, #38715: [SPARK-41197] Upgrade Kafka version to 3.3 release

tedyu opened a new pull request, #38715:
URL: https://github.com/apache/spark/pull/38715

   ### What changes were proposed in this pull request?
   This PR upgrades Kafka to 3.3.0 release.
   
   ### Why are the changes needed?
   Kafka 3.3.0 release has new features along with bug fixes: https://www.confluent.io/blog/apache-kafka-3-3-0-new-features-and-updates/
   
   ### Does this PR introduce _any_ user-facing change?
   No
   
   ### How was this patch tested?
   Existing test suite


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[GitHub] [spark] tedyu commented on pull request #38715: [SPARK-41197] Upgrade Kafka version to 3.3 release

Posted by GitBox <gi...@apache.org>.
tedyu commented on PR #38715:
URL: https://github.com/apache/spark/pull/38715#issuecomment-1320568475

   @HeartSaVioR 
   Can you take a look ?


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[GitHub] [spark] dongjoon-hyun closed pull request #38715: [SPARK-41197][BUILD] Upgrade Kafka to 3.3.1

Posted by GitBox <gi...@apache.org>.
dongjoon-hyun closed pull request #38715: [SPARK-41197][BUILD] Upgrade Kafka to 3.3.1
URL: https://github.com/apache/spark/pull/38715


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[GitHub] [spark] HyukjinKwon commented on pull request #38715: [SPARK-41197] Upgrade Kafka version to 3.3 release

Posted by GitBox <gi...@apache.org>.
HyukjinKwon commented on PR #38715:
URL: https://github.com/apache/spark/pull/38715#issuecomment-1323204958

   cc @dongjoon-hyun and @HeartSaVioR FYI


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[GitHub] [spark] tedyu commented on pull request #38715: [SPARK-41197] Upgrade Kafka version to 3.3 release

Posted by GitBox <gi...@apache.org>.
tedyu commented on PR #38715:
URL: https://github.com/apache/spark/pull/38715#issuecomment-1323744490

   @HyukjinKwon @dongjoon-hyun @HeartSaVioR 
   Please take a look - tests pass.


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[GitHub] [spark] dongjoon-hyun commented on pull request #38715: [SPARK-41197][BUILD] Upgrade Kafka to 3.3.1

Posted by GitBox <gi...@apache.org>.
dongjoon-hyun commented on PR #38715:
URL: https://github.com/apache/spark/pull/38715#issuecomment-1329753258

   This is merged via https://github.com/apache/spark/commit/0ff201cc219884d3cbb6844732c681546e53f4d4 .


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[GitHub] [spark] tedyu commented on pull request #38715: [SPARK-41197] Upgrade Kafka version to 3.3 release

Posted by GitBox <gi...@apache.org>.
tedyu commented on PR #38715:
URL: https://github.com/apache/spark/pull/38715#issuecomment-1320977594

   @bjornjorgensen 
   I have updated the PR.


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[GitHub] [spark] bjornjorgensen commented on pull request #38715: [SPARK-41197] Upgrade Kafka version to 3.3 release

Posted by GitBox <gi...@apache.org>.
bjornjorgensen commented on PR #38715:
URL: https://github.com/apache/spark/pull/38715#issuecomment-1322547054

   Can it have something to do with https://github.com/apache/kafka/pull/12794 ? 


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[GitHub] [spark] tedyu commented on pull request #38715: [SPARK-41197] Upgrade Kafka version to 3.3 release

Posted by GitBox <gi...@apache.org>.
tedyu commented on PR #38715:
URL: https://github.com/apache/spark/pull/38715#issuecomment-1323743712

   Thanks @dengziming for the information.


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[GitHub] [spark] bjornjorgensen commented on pull request #38715: [SPARK-41197] Upgrade Kafka version to 3.3 release

Posted by GitBox <gi...@apache.org>.
bjornjorgensen commented on PR #38715:
URL: https://github.com/apache/spark/pull/38715#issuecomment-1320967123

   Hi, 3.3.0 A significant bug was found in the 3.3.0 release after artifacts were pushed to Apache and Maven central but prior to the release announcement. As a result, the decision was made to not announce 3.3.0 and instead release 3.3.1 with the fix. It is recommended that 3.3.0 not be used.
   
   Can you try with 3.3.1 


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[GitHub] [spark] tedyu commented on pull request #38715: [SPARK-41197] Upgrade Kafka version to 3.3 release

Posted by GitBox <gi...@apache.org>.
tedyu commented on PR #38715:
URL: https://github.com/apache/spark/pull/38715#issuecomment-1322164554

   I noticed the test failures.
   Let me analyze the test output.


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[GitHub] [spark] tedyu commented on pull request #38715: [SPARK-41197] Upgrade Kafka version to 3.3 release

Posted by GitBox <gi...@apache.org>.
tedyu commented on PR #38715:
URL: https://github.com/apache/spark/pull/38715#issuecomment-1322550518

   Possible.
   When would the next Kafka be released ?


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[GitHub] [spark] dengziming commented on pull request #38715: [SPARK-41197] Upgrade Kafka version to 3.3 release

Posted by GitBox <gi...@apache.org>.
dengziming commented on PR #38715:
URL: https://github.com/apache/spark/pull/38715#issuecomment-1323037097

   These failures comes from [apache/kafka#12049](https://github.com/apache/kafka/pull/12049)  and is described here: https://kafka.apache.org/documentation/#upgrade_33_notable
   The new default partitioner keeps track of how many bytes are produced per-partition and once the amount exceeds batch.size, switches to the next partition. In spark kafka tests, this will result in records being sent to one partition in some tests.
   One simplest solution is add `props.put("partitioner.class",classOf[org.apache.kafka.clients.producer.internals.DefaultPartitioner].getName)` in `KafkaTestUtils.producerConfiguration`, or we can implement our own partitioner, or set a small`batch.size` config.
   
   


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