Github user jamesthomp commented on the issue:
https://github.com/apache/spark/pull/20580
@kiszk - I've changed the implementation to no longer use
`column.isArray()` and instead just inline the decimal type check (so no
changes needed to the public api). I don't think you could actually hit this
codepath with ArrayType, so that part was unnecessary.
As for testing, it might be easiest to check in a parquet file with the
binary decimal format and then check that spark can read it?
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