Github user marmbrus commented on the pull request:
https://github.com/apache/spark/pull/4521#issuecomment-74394386
The parquet write path needs to assume the data matches the schema
otherwise we'll slow down all writing of data to parquet. Instead I
suggest we check at the jvm side of the Python jvm boundry and convert ints
to longs.
On Feb 14, 2015 11:09 AM, "Don Drake" <[email protected]> wrote:
> 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?
>
> â
> Reply to this email directly or view it on GitHub
> <https://github.com/apache/spark/pull/4521#issuecomment-74387840>.
>
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