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https://issues.apache.org/jira/browse/SPARK-19644?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Shixiong Zhu resolved SPARK-19644.
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Resolution: Fixed
Assignee: Shixiong Zhu
Fix Version/s: 2.3.0
2.2.1
> 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: Shixiong Zhu
> Labels: memory_leak, performance
> Fix For: 2.2.1, 2.3.0
>
> 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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