Github user rxin commented on the pull request:
https://github.com/apache/spark/pull/2281#issuecomment-54596928
The correct assumption is to not reuse objects. However, in Spark SQL we
exploited the implementation of the old shuffle behavior (which serializes each
row object immediately without buffering them) to avoid allocating objects.
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