Github user cloud-fan commented on the issue:
    It's pretty natural to convert integer type to int32. Although Spark tries 
its best to avoid behavior changes, it's allowed to fix some wrong behaviors in 
new releases, and I believe it's well documented in the Spark 2.3 release notes.


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