Github user mengxr commented on the pull request:
https://github.com/apache/spark/pull/2907#issuecomment-61137430
@shivaram For common RDD operations in core/sql, each task is small
(including the result) and there are more partitions than executors.
`treeAggregate` creates a shuffle stage and holds data there, while `aggregate`
can start working when partial results are available.
@pwendell Are you comfortable with adding those RDD functions to core?
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