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Xun REN commented on SPARK-21501: --------------------------------- Hi guys, Could you tell me how to figure out how many memory the NM with spark shuffle service has used ? And how to know a spark job has used how many reducers ? Because I have the same problem recently and I want to get a list of spark jobs by sorting by number of reducers. Thanks. Regards, Xun REN. > 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: 2.1.0 > Reporter: Thomas Graves > Assignee: Sanket Reddy > Priority: Major > Fix For: 2.3.0 > > > 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. -- This message was sent by Atlassian JIRA (v7.6.3#76005) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org