razajafri opened a new pull request #31284:
URL: https://github.com/apache/spark/pull/31284
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### What changes were proposed in this pull request?
If an IntDecimal type was written as a LongDecimal in a parquet file. Spark
will read it as a long but write it as an int by downcasting it. Method
`readLongs` has been modified to take in a boolean flag that tells it if the
number would fit in a 32-bit Decimal and subsequently downsized.
### Why are the changes needed?
If a Parquet file writes an IntDecimal as LongDecimal, which is supported by
the parquet spec, Spark will not be able to read it and will throw an
exception.
### Does this PR introduce _any_ user-facing change?
No
### How was this patch tested?
manually tested and added unit-test
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