Github user jeanlyn commented on the pull request:
https://github.com/apache/spark/pull/10128#issuecomment-161851642
@cloud-fan I think your case is different from @zhonghaihua 's. The sql
only deal with some join keys ('' and null) before shuffle to handle those
pointless key cause skew during join operator, while `repartition` deal with
all data before some map operator. This is two type data skew, right?
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