[jira] [Assigned] (SPARK-19644) Memory leak in Spark Streaming (Encoder/Scala Reflection)

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

     [ https://issues.apache.org/jira/browse/SPARK-19644?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Apache Spark reassigned SPARK-19644:
------------------------------------

    Assignee: Apache Spark

> Memory leak in Spark Streaming (Encoder/Scala Reflection)
> ---------------------------------------------------------
>
>                 Key: SPARK-19644
>                 URL: https://issues.apache.org/jira/browse/SPARK-19644
>             Project: Spark
>          Issue Type: Bug
>          Components: DStreams, SQL, Structured Streaming
>    Affects Versions: 2.0.2
>         Environment: 3 AWS EC2 c3.xLarge
> Number of cores - 3
> Number of executors 3 
> Memory to each executor 2GB
>            Reporter: Deenbandhu Agarwal
>            Assignee: Apache Spark
>              Labels: memory_leak, performance
>         Attachments: Dominator_tree.png, Path2GCRoot.png, heapdump.png
>
>
> I am using streaming on the production for some aggregation and fetching data from cassandra and saving data back to cassandra. 
> I see a gradual increase in old generation heap capacity from 1161216 Bytes to 1397760 Bytes over a period of six hours.
> After 50 hours of processing instances of class scala.collection.immutable.$colon$colon incresed to 12,811,793 which is a huge number. 
> I think this is a clear case of memory leak
> Updated: The root cause is when creating an encoder object, it leaks several Scala internal objects due to a Scala memory leak issue: https://github.com/scala/bug/issues/8302



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