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https://issues.apache.org/jira/browse/SPARK-35799?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17367022#comment-17367022
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Apache Spark commented on SPARK-35799:
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User 'vkorukanti' has created a pull request for this issue:
https://github.com/apache/spark/pull/33013
> Fix the allUpdatesTimeMs metric measuring in FlatMapGroupsWithStateExec
> -----------------------------------------------------------------------
>
> Key: SPARK-35799
> URL: https://issues.apache.org/jira/browse/SPARK-35799
> Project: Spark
> Issue Type: Improvement
> Components: Structured Streaming
> Affects Versions: 3.1.2
> Reporter: Venki Korukanti
> Assignee: Venki Korukanti
> Priority: Minor
> Fix For: 3.2.0
>
>
> Metric {{allUpdatesTimeMs}} meant to capture the start to end walltime of the
> operator {{FlatMapGroupsWithStateExec}}, but currently it just
> [captures|https://github.com/apache/spark/blob/79362c4efcb6bd4b575438330a14a6191cca5e4b/sql/core/src/main/scala/org/apache/spark/sql/execution/streaming/FlatMapGroupsWithStateExec.scala#L121]
> the iterator creation time.
> Fix it to measure similar to how other stateful operators measure. Example
> one
> [here|https://github.com/apache/spark/blob/79362c4efcb6bd4b575438330a14a6191cca5e4b/sql/core/src/main/scala/org/apache/spark/sql/execution/streaming/statefulOperators.scala#L406].
> This measurement is not perfect due to the nature of the lazy iterator and
> also includes the time the consumer operator spent in processing the current
> operator output, but it should give a good signal when comparing the metric
> in one microbatch to the metric in another microbatch.
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