Github user zsxwing commented on the pull request:
https://github.com/apache/spark/pull/9258#issuecomment-151472511
There is still one problem in this PR. Currently, if an RDD is not
persisted, this RDD will be recomputed to generate an Iterator after
checkpointing (We cannot use the original Iterator since it's consumed).
However, recomputing RDD may be slower than reading from the checkpoint file if
the RDD is very complicated. Since we don't know whether recomputing is faster
than reading from the checkpoint file, maybe we should add an option to the
`checkpoint` API and let the user make the decision.
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