[jira] [Created] (SPARK-21501) Spark shuffle index cache size should be memory based

["Thomas Graves (JIRA)" <ji...@apache.org>]

Thomas Graves created SPARK-21501:
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             Summary: Spark shuffle index cache size should be memory based
                 Key: SPARK-21501
                 URL: https://issues.apache.org/jira/browse/SPARK-21501
             Project: Spark
          Issue Type: Bug
          Components: Shuffle
    Affects Versions: 2.0.0
            Reporter: Thomas Graves


Right now the spark shuffle service has a cache for index files. It is based on a # of files cached (spark.shuffle.service.index.cache.entries). This can cause issues if people have a lot of reducers because the size of each entry can fluctuate based on the # of reducers. 

We saw an issues with a job that had 170000 reducers and it caused NM with spark shuffle service to use 700-800MB or memory in NM by itself.

We should change this cache to be memory based and only allow a certain memory size used. When I say memory based I mean the cache should have a limit of say 100MB.



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