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https://issues.apache.org/jira/browse/SPARK-5861?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Sean Owen updated SPARK-5861:
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Fix Version/s: (was: 1.2.2)
(was: 1.3.0)
Ah, you're saying that you are in yarn-client mode but the Application Master
is still using the large amount of memory defined in spark.driver.memory,
instead of the small default of 512m it should use.
I see that the lines of code you cite only execute in yarn-cluster mode though,
or should only execute. That in turn is keyed on whether {{--class}} is set by
{{Client.scala}} which again should only happen in yarn-cluster mode.
How are you running this? are you bypassing this code?
CC [~sandyr] and [~vanzin] for an opinion.
> [yarn-client mode] Application master should not use memory =
> spark.driver.memory
> ---------------------------------------------------------------------------------
>
> Key: SPARK-5861
> URL: https://issues.apache.org/jira/browse/SPARK-5861
> Project: Spark
> Issue Type: Bug
> Components: YARN
> Affects Versions: 1.2.1
> Reporter: Shekhar Bansal
>
> I am using
> {code}spark.driver.memory=6g{code}
> which creates application master of 7g
> (yarn.scheduler.minimum-allocation-mb=1024)
> Application manager don't need 7g in yarn-client mode.
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