Github user mccheah commented on the pull request:
https://github.com/apache/spark/pull/4693#issuecomment-76840419
Talked with @pwoody offline and he's working on a test case, but I'll
summarize what I think will break. If you use an SQL Context wrapping a Spark
Context where you set spark.serializer, then when you do some things in Spark
SQL and try to collect the RDD, the operations in computing the SQL will be
fine, but when you collect the RDD it uses the SQL serializer to serialize the
results but the driver will kryo-deserialize using spark.serializer.
This was the issue that originally prompted this change.
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