Any updates on this issue? A cursory search shows that others are still
experiencing this issue. I'm seeing this occur on trivial data sets in
pyspark; however they are running successfully in scala.

While this is an acceptable workaround I would like to know if this item is
on the spark roadmap or if I should completely punt on pyspark and use only
scala. 



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