Github user rxin commented on the pull request:
https://github.com/apache/spark/pull/6649#issuecomment-109430653
hey @kostya-sh - in the past parquet minor bumps have introduced bugs, and
as a result we are very conservative w.r.t. upgrading Parquet. However, I think
you can always specify a higher version of the Parquet jar in your user
program, and then set the classloader to prefer user jars first. Alternatively,
you can also just bump the Parquet version in your custom build of Spark. Does
that make sense?
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