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From "Shixiong Zhu (JIRA)" <j...@apache.org>
Subject [jira] [Updated] (SPARK-19644) Memory leak in Spark Streaming (Encoder/Scala Reflection)
Date Wed, 01 Nov 2017 20:04:00 GMT

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

Shixiong Zhu updated SPARK-19644:
---------------------------------
    Summary: Memory leak in Spark Streaming (Encoder/Scala Reflection)  (was: Memory leak
in Spark Streaming)

> 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
>    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
>            Priority: Major
>              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



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