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https://issues.apache.org/jira/browse/SPARK-42204?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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ASF GitHub Bot updated SPARK-42204:
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Labels: pull-request-available (was: )
> Remove redundant logging of TaskMetrics internal accumulators in JsonProtocol
> event logs
> ----------------------------------------------------------------------------------------
>
> Key: SPARK-42204
> URL: https://issues.apache.org/jira/browse/SPARK-42204
> Project: Spark
> Issue Type: Improvement
> Components: Spark Core
> Affects Versions: 3.0.0
> Reporter: Josh Rosen
> Assignee: Josh Rosen
> Priority: Major
> Labels: pull-request-available
>
> Spark's JsonProtocol event logs (used by the history server) contain
> redundancy in how TaskMetrics are represented in SparkListenerTaskEnd events:
> * The "Task Metrics" field is a map from metric names to values.
> * Under the hood, each metric is implemented using an accumulator and those
> accumulator values are redundantly stored in the `Task Info`.`Accumulables`
> field. These Accumulable entries contain the metric value from the task, plus
> the cumulative "sum-so-far" from the completed tasks in that stage.
> The Spark History Server doesn't rely on the redundant information in the
> Accumulables field.
> I believe that this redundancy was introduced back in SPARK-10620 when Spark
> 1.x's separate TaskMetrics implementation was replaced by the current
> accumulator-based version.
> I think that we should eliminate this redundancy by skipping JsonProtocol
> logging of the TaskMetric accumulators. Although I think it's somewhat
> unlikely that third-party code is relying on the presence of that redundant
> information, I think we should hedge by adding an internal configuration flag
> to re-enable the redundant logging if needed.
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