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Posted to reviews@spark.apache.org by GitBox <gi...@apache.org> on 2019/07/29 07:48:09 UTC

[GitHub] [spark] cloud-fan commented on issue #25280: [SPARK-28548][SQL] explain() shows wrong result for persisted DataFrames after some operations

cloud-fan commented on issue #25280: [SPARK-28548][SQL] explain() shows wrong result for persisted DataFrames after some operations
URL: https://github.com/apache/spark/pull/25280#issuecomment-515884006
 
 
   It's by design that a dataframe can't change its physical plan once the physical plan is materialized. That said, `df.persist` has no effect if `df.explain` is called before.
   
   I think the current behavior is corrected and v2.4.3 is wrong. I think this problem is fixed by https://github.com/apache/spark/pull/24654
   
   If you do wanna run the plan with cached data, maybe we can do `val df2 = df.toDF()` and execute `df2` instead.

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