Github user jamesthomp commented on the issue:
    @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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