[ 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 -- This message was sent by Atlassian JIRA (v6.4.14#64029) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org