anishshri-db commented on code in PR #59285:
URL: https://github.com/apache/spark/pull/59285#discussion_r4235462415
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connector/kafka-0-10-sql/src/main/scala/org/apache/spark/sql/kafka010/consumer/KafkaDataConsumer.scala:
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@@ -450,6 +450,9 @@ private[kafka010] class KafkaDataConsumer(
throwOnDataLoss(toFetchOffset, untilOffset, topicPartition,
groupId, e)
} else {
logOnDataLoss(topicPartition, groupId, s"Cannot fetch offset
$toFetchOffset", e)
+ // The consumer was released while handling the out-of-range
offset, so reacquire it
Review Comment:
lets add the SPARK jira here and also explain that if we don't reacquire,
the consumer could be released or reassigned leading to incorrect results or
failures ?
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