Github user dondrake commented on the pull request:
https://github.com/apache/spark/pull/4521#issuecomment-74387840
I'm struggling with how to handle this. I would prefer that the
saveAsParquet() would handle converting the value to a ```long``` for me.
However, I could update the test to store a ```long``` datatype, but again that
means if I update a SchemaRDD ```long``` value in python, I have to guarantee
it is a ```long```. Not very pythonic IMO.
Thoughts?
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