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https://issues.apache.org/jira/browse/SPARK-22547?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Hyukjin Kwon updated SPARK-22547:
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Labels: bulk-closed (was: )
> Don't include executor ID in metrics name
> -----------------------------------------
>
> Key: SPARK-22547
> URL: https://issues.apache.org/jira/browse/SPARK-22547
> Project: Spark
> Issue Type: Improvement
> Components: Spark Core
> Affects Versions: 2.2.0
> Reporter: Li Haoyi
> Priority: Major
> Labels: bulk-closed
>
> Spark's metrics system prefixes all metrics collected from executors with the
> executor ID.
> *
> https://github.com/apache/spark/blob/fccb337f9d1e44a83cfcc00ce33eae1fad367695/core/src/main/scala/org/apache/spark/metrics/MetricsSystem.scala#L136
> This behavior causes two problems:
> * it's not possible to aggregate over executors (since the metric name is
> different for each host)
> * upstream metrics systems like Ganglia or Prometheus are put under high load
> because of the number of time series to store.
> By removing the `executorId` from the name of the metric we register, that
> solves both the above problems
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