[GitHub] spark pull request: [SPARK-12125][SQL] pull out nondeterministic e...

[cloud-fan <gi...@git.apache.org>]

Github user cloud-fan commented on the pull request:

    https://github.com/apache/spark/pull/10128#issuecomment-161626933
  
    I think it's not a good example to show that we need to allow nondeterministic expressions in join codition. We can use `Repartition` operator to fix data skew, like `sqlContext.table(tblName).repartition(numPartitions).registerTempTable`, which looks better than your random join approach. Do you find other cases that need to use  nondeterministic expressions in join codition?


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