Github user HyukjinKwon commented on the pull request:
https://github.com/apache/spark/pull/10980#issuecomment-188094727
@falaki As far as I understood, I am trying to use the existing casting
tools in Spark by using`Cast()`.
However, it ended up with additional cases for the types,
`DecimalType`,`FloatType` and `DoubleType` since `Cast()` handles differently
those types.
I am not too sure if we should share this since this datasource handles the
casting differently (also for JSON datasource, it converts data within
`JacksonParser` itself without sharing this).
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