Github user jerryshao commented on the pull request:
https://github.com/apache/spark/pull/3906#issuecomment-68848565
I'm not sure if I understand correctly, in WindowedDStream we already
called persist to cache the parent DStream, internally it will call RDD's
persist. This will cache the RDD into BM when current interval's job is
finished, if we move to the next batch in this window, because RDD is already
cached, no matter it is from HDFS or others, we can directly use it without
recalculate.
That's my understanding, I'm not sure if it is correct, sorry for my
misunderstanding.
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