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

[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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