HeartSaVioR commented on a change in pull request #26470: [SPARK-27042][SS]
Invalidate cached Kafka producer in case of task retry
URL: https://github.com/apache/spark/pull/26470#discussion_r346199388
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File path:
external/kafka-0-10-sql/src/main/scala/org/apache/spark/sql/kafka010/CachedKafkaProducer.scala
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@@ -93,6 +93,10 @@ private[kafka010] object CachedKafkaProducer extends
Logging {
.setAuthenticationConfigIfNeeded()
.build()
val key = toCacheKey(updatedKafkaParams)
+ if (TaskContext.get != null && TaskContext.get.attemptNumber >= 1) {
Review comment:
Strictly saying, we should discard the instance (not even instances) when
the instance throws some error, but then we may need to wrap the code to catch
exception and discard the instance wherever we use the instance. Aa bit
verbose, but we still have to return the instance to the pool even it succeeds,
so maybe not impossible.
I'm not aware whether Kafka consumer or Kafka producer is self-healing - if
they provide such functionality, we wouldn't need to even discard them at any
case.
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