Github user kalpit commented on the pull request:
https://github.com/apache/spark/pull/554#issuecomment-41487520
I suspect that the NPEs will happen for any PySpark User who has an RDD
that returns null for some input "x" based on the lambda/transform. Check out
the test case I added to "PythonRDDSuite.scala" to reproduce the NPE.
I considered the idea of using negative length (-4) to pass "None" to
python (PythonRDD.SpecialLengths -1 to -3 are taken). The tricky part however
is that the read() method returns an array of bytes based on the length.
Existing code treats empty array as end of data/stream. So I am not sure how we
would communicate "None" to python. Thoughts ?
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