Thomas Graves created SPARK-21501:
-------------------------------------
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.
--
This message was sent by Atlassian JIRA
(v6.4.14#64029)
---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org
For additional commands, e-mail: issues-h...@spark.apache.org
