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https://issues.apache.org/jira/browse/SPARK-9103?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14908644#comment-14908644
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Imran Rashid commented on SPARK-9103:
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ah, of course, sorry I made a big mistake. I was thinking that you only need
to keep the latest max value per executor. But of course if that max occurred
before the latest stage started, then you need to reset your counter. And with
concurrent stages, you can't simply reset one global counter, since you need
the max within every window.
Thanks for explaining it to me again!
> Tracking spark's memory usage
> -----------------------------
>
> Key: SPARK-9103
> URL: https://issues.apache.org/jira/browse/SPARK-9103
> Project: Spark
> Issue Type: Umbrella
> Components: Spark Core, Web UI
> Reporter: Zhang, Liye
> Attachments: Tracking Spark Memory Usage - Phase 1.pdf
>
>
> Currently spark only provides little memory usage information (RDD cache on
> webUI) for the executors. User have no idea on what is the memory consumption
> when they are running spark applications with a lot of memory used in spark
> executors. Especially when they encounter the OOM, it’s really hard to know
> what is the cause of the problem. So it would be helpful to give out the
> detail memory consumption information for each part of spark, so that user
> can clearly have a picture of where the memory is exactly used.
> The memory usage info to expose should include but not limited to shuffle,
> cache, network, serializer, etc.
> User can optionally choose to open this functionality since this is mainly
> for debugging and tuning.
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