[jira] [Assigned] (SPARK-21181) Suppress memory leak errors reported by netty

["Apache Spark (JIRA)" <ji...@apache.org>]

     [ 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



--
This message was sent by Atlassian JIRA
(v6.4.14#64029)

---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscribe@spark.apache.org
For additional commands, e-mail: issues-help@spark.apache.org