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Posted to issues@spark.apache.org by "Deenbandhu Agarwal (JIRA)" <ji...@apache.org> on 2017/02/17 06:00:46 UTC
[jira] [Created] (SPARK-19644) Memory leak in Spark Streaming
Deenbandhu Agarwal created SPARK-19644:
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Summary: Memory leak in Spark Streaming
Key: SPARK-19644
URL: https://issues.apache.org/jira/browse/SPARK-19644
Project: Spark
Issue Type: Bug
Components: Structured Streaming
Affects Versions: 2.0.1
Environment: 3 AWS EC2 c3.xLarge
Number of cores - 3
Number of executers 3
Memory to each executor 2GB
Reporter: Deenbandhu Agarwal
Priority: Critical
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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