[jira] [Assigned] (SPARK-21181) Suppress memory leak errors reported by netty
[
https://issues.apache.org/jira/browse/SPARK-21181?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Apache Spark reassigned SPARK-21181:
Assignee: (was: Apache Spark)
> Suppress memory leak errors reported by netty
> -
>
> Key: SPARK-21181
> URL: https://issues.apache.org/jira/browse/SPARK-21181
> Project: Spark
> Issue Type: Bug
> Components: Input/Output
>Affects Versions: 2.1.0
>Reporter: Dhruve Ashar
>Priority: Minor
>
> We are seeing netty report memory leak erros like the one below after
> switching to 2.1.
> {code}
> ERROR ResourceLeakDetector: LEAK: ByteBuf.release() was not called before
> it's garbage-collected. Enable advanced leak reporting to find out where the
> leak occurred. To enable advanced leak reporting, specify the JVM option
> '-Dio.netty.leakDetection.level=advanced' or call
> ResourceLeakDetector.setLevel() See
> http://netty.io/wiki/reference-counted-objects.html for more information.
> {code}
> Looking a bit deeper, Spark is not leaking any memory here, but it is
> confusing for the user to see the error message in the driver logs.
> After enabling, '-Dio.netty.leakDetection.level=advanced', netty reveals the
> SparkSaslServer to be the source of these leaks.
> Sample trace :https://gist.github.com/dhruve/b299ebc35aa0a185c244a0468927daf1
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[jira] [Assigned] (SPARK-21181) Suppress memory leak errors reported by netty
[
https://issues.apache.org/jira/browse/SPARK-21181?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Apache Spark reassigned SPARK-21181:
Assignee: Apache Spark
> Suppress memory leak errors reported by netty
> -
>
> Key: SPARK-21181
> URL: https://issues.apache.org/jira/browse/SPARK-21181
> Project: Spark
> Issue Type: Bug
> Components: Input/Output
>Affects Versions: 2.1.0
>Reporter: Dhruve Ashar
>Assignee: Apache Spark
>Priority: Minor
>
> We are seeing netty report memory leak erros like the one below after
> switching to 2.1.
> {code}
> ERROR ResourceLeakDetector: LEAK: ByteBuf.release() was not called before
> it's garbage-collected. Enable advanced leak reporting to find out where the
> leak occurred. To enable advanced leak reporting, specify the JVM option
> '-Dio.netty.leakDetection.level=advanced' or call
> ResourceLeakDetector.setLevel() See
> http://netty.io/wiki/reference-counted-objects.html for more information.
> {code}
> Looking a bit deeper, Spark is not leaking any memory here, but it is
> confusing for the user to see the error message in the driver logs.
> After enabling, '-Dio.netty.leakDetection.level=advanced', netty reveals the
> SparkSaslServer to be the source of these leaks.
> Sample trace :https://gist.github.com/dhruve/b299ebc35aa0a185c244a0468927daf1
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