Github user staple commented on the pull request:
https://github.com/apache/spark/pull/2362#issuecomment-55681425
@mengxr I ran for 100 iterations. Loaded data from disk using python's
SparkContext.pickleFile() (disk is ssd). I did not do any manual caching. For
more details, you can also see the test script I included in my description
above.
I also saved the logs from my test runs if those are helpful to see. During
the 10m record run I saw many log messages about 'CacheManager: Not enough
space to cache partition' which I interpreted as indicating lack of caching due
to memory exhaustion. But I haven't diagnosed the slowdown beyond that.
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