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https://issues.apache.org/jira/browse/SPARK-39591?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17629252#comment-17629252
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Apache Spark commented on SPARK-39591:
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User 'jerrypeng' has created a pull request for this issue:
https://github.com/apache/spark/pull/38517
> Offset Management Improvements in Structured Streaming
> ------------------------------------------------------
>
> Key: SPARK-39591
> URL: https://issues.apache.org/jira/browse/SPARK-39591
> Project: Spark
> Issue Type: Improvement
> Components: Structured Streaming
> Affects Versions: 3.3.0
> Reporter: Boyang Jerry Peng
> Priority: Major
>
> Currently in Structured Streaming, at the beginning of every micro-batch the
> offset to process up to for the current batch is persisted to durable
> storage. At the end of every micro-batch, a marker to indicate the
> completion of this current micro-batch is persisted to durable storage. For
> pipelines such as one that read from Kafka and write to Kafka, end-to-end
> exactly once is not support and latency is sensitive, we can allow users to
> configure offset commits to be written asynchronously thus this commit
> operation will not contribute to the batch duration and effectively lowering
> the overall latency of the pipeline.
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