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https://issues.apache.org/jira/browse/SPARK-24067?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16452603#comment-16452603
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Cody Koeninger commented on SPARK-24067:
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The original PR [https://github.com/apache/spark/pull/20572] merges cleanly
against 2.3, are you ok with merging it?
> Backport SPARK-17147 to 2.3 (Spark Streaming Kafka 0.10 Consumer Can't Handle
> Non-consecutive Offsets (i.e. Log Compaction))
> ----------------------------------------------------------------------------------------------------------------------------
>
> Key: SPARK-24067
> URL: https://issues.apache.org/jira/browse/SPARK-24067
> Project: Spark
> Issue Type: Bug
> Components: DStreams
> Affects Versions: 2.3.0
> Reporter: Joachim Hereth
> Assignee: Cody Koeninger
> Priority: Major
>
> SPARK-17147 fixes a problem with non-consecutive Kafka Offsets. The [PR
> w|https://github.com/apache/spark/pull/20572]as merged to {{master}}. This
> should be backported to 2.3.
>
> Original Description from SPARK-17147 :
>
> When Kafka does log compaction offsets often end up with gaps, meaning the
> next requested offset will be frequently not be offset+1. The logic in
> KafkaRDD & CachedKafkaConsumer has a baked in assumption that the next offset
> will always be just an increment of 1 above the previous offset.
> I have worked around this problem by changing CachedKafkaConsumer to use the
> returned record's offset, from:
> {{nextOffset = offset + 1}}
> to:
> {{nextOffset = record.offset + 1}}
> and changed KafkaRDD from:
> {{requestOffset += 1}}
> to:
> {{requestOffset = r.offset() + 1}}
> (I also had to change some assert logic in CachedKafkaConsumer).
> There's a strong possibility that I have misconstrued how to use the
> streaming kafka consumer, and I'm happy to close this out if that's the case.
> If, however, it is supposed to support non-consecutive offsets (e.g. due to
> log compaction) I am also happy to contribute a PR.
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