Github user WangTaoTheTonic commented on the pull request:
https://github.com/apache/spark/pull/3607#issuecomment-67318029
I have tested in my cluster(3 NM nodes with 8GB memory each), with
configuration:
`spark.driver.memory=4G
spark.yarn.am.memoryOverhead=1024
spark.yarn.am.memory=1G`
Before this patch, yarn-client mode will use 3 container, the memory used
on NM nodes are 4.5G, 1G and 1G, and in yarn-cluster mode they are 5.5G and 1G.
After this patch, yarn-client mode use 1G and 3G, yarn-cluster mode use 1G
and 5.5G.
So the behaviour met our expects. @tgravescs @andrewor14 Is it ok to go?
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