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https://issues.apache.org/jira/browse/SPARK-41375?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-41375:
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Assignee: Apache Spark
> Avoid empty latest KafkaSourceOffset
> ------------------------------------
>
> Key: SPARK-41375
> URL: https://issues.apache.org/jira/browse/SPARK-41375
> Project: Spark
> Issue Type: Bug
> Components: Structured Streaming
> Affects Versions: 3.3.1
> Reporter: Wechar
> Assignee: Apache Spark
> Priority: Major
> Attachments: image-2022-12-04-03-11-11-428.png
>
>
> We found the offsetLog recorded an empty offset `{}` for the KafkaSource:
> !image-2022-12-04-03-11-11-428.png!
> It occurs only once but this empty offset will cause the data duplication.
> {*}Root Cause{*}:
> The root cause is that Kafka consumer may get empty partitions in extreme
> cases like getting partitions while Kafka cluster is reassigning partitions.
> {code:scala}
> // org.apache.spark.sql.kafka010.KafkaOffsetReaderConsumer
> private def partitionsAssignedToConsumer(
> body: ju.Set[TopicPartition] => Map[TopicPartition, Long],
> fetchingEarliestOffset: Boolean = false)
> : Map[TopicPartition, Long] =
> uninterruptibleThreadRunner.runUninterruptibly {
> withRetriesWithoutInterrupt {
> // Poll to get the latest assigned partitions
> consumer.poll(0)
> val partitions = consumer.assignment() // partitions may be empty
> if (!fetchingEarliestOffset) {
> // Call `position` to wait until the potential offset request
> triggered by `poll(0)` is
> // done. This is a workaround for KAFKA-7703, which an async
> `seekToBeginning` triggered by
> // `poll(0)` may reset offsets that should have been set by another
> request.
> partitions.asScala.map(p => p -> consumer.position(p)).foreach(_ =>
> {})
> }
> consumer.pause(partitions)
> logDebug(s"Partitions assigned to consumer: $partitions.")
> body(partitions)
> }
> }
> {code}
> *Solution:*
> Add offset filter for latestOffset.
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