Github user opme commented on the issue:
https://github.com/apache/spark/pull/14995
I compiled this pull request into the main branch. I can confirm it fixes
the problem where I was performing joins between tables with 2 million and 300
million records + making counts and then getting the java Integer error.
Previous to building the patched version, I had tried setting 2000 partitions
on the Dataframes with spark.sql.shuffle.partitions and the failure still
occurred. I don't see there is a valid workaround through partitioning or
that the failure occurs as a program design issue. I would like to see this
patch incorporated into a released version.
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