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https://issues.apache.org/jira/browse/FLINK-32822?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17752494#comment-17752494
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Mason Chen commented on FLINK-32822:
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This auto-commit is disabled for conscious reasons as it would violate
consistency guarantees of a checkpoint and I'm not sure we should introduce
this feature. If you are monitoring lag from server side, is it possible for
you the monitor lag from the client side? Flink has a good set of metric
reporters that integrate with external systems?
Also, this does sound like more of issue with the checkpoint. Is there a reason
why the interval is long?
> Add connector option to control whether to enable auto-commit of offsets when
> checkpoints is enabled
> ----------------------------------------------------------------------------------------------------
>
> Key: FLINK-32822
> URL: https://issues.apache.org/jira/browse/FLINK-32822
> Project: Flink
> Issue Type: Improvement
> Components: Connectors / Kafka
> Reporter: Zhanghao Chen
> Priority: Major
>
> When checkpointing is enabled, Flink Kafka connector commits the current
> consuming offset when checkpoints are *completed* although Kafka source does
> *NOT* rely on committed offsets for fault tolerance. When the checkpoint
> interval is long, the lag curve will behave in a zig-zag way: the lag will
> keep increasing, and suddenly drops on a complete checkpoint. It have led to
> some confusion for users as in
> [https://stackoverflow.com/questions/76419633/flink-kafka-source-commit-offset-to-error-offset-suddenly-increase-or-decrease]
> and may also affect external monitoring for setting up alarms (you'll have
> to set up with a high threshold due to the non-realtime commit of offsets)
> and autoscaling (the algorithm would need to pay extra effort to distinguish
> whether the backlog is actually growing or just because the checkpoint is not
> completed yet).
> Therefore, I think it is worthwhile to add an option to enable auto-commit of
> offsets when checkpoints is enabled. For DataStream API, it will be adding a
> configuration method. For Table API, it will be adding a new connector option
> which wires to the DataStream API configuration underneath.
>
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