[GitHub] [spark] manuzhang commented on pull request #28954: [SPARK-32083][SQL] Apply CoalesceShufflePartitions when input RDD has 0 partitions with AQE

Fri, 03 Jul 2020 06:09:00 -0700 


manuzhang commented on pull request #28954:
URL: https://github.com/apache/spark/pull/28954#issuecomment-653540634


   @JkSelf 
   I get the same result as you when I set the `numPartitions` of source to 1 
(By default, it's 16 on my Mac), i.e.
   
   ```scala
   val df1 = spark.range(0, 10, 1, 1).withColumn("a", 'id)
   val df2 = spark.range(0, 10, 1, 1).withColumn("b", 'id)
   val testDf = df1.where('a > 10).join(df2.where('b > 10), 
"id").groupBy('a).count()
   testDf.collect()
   ```
   
   Compare the execution plan with above.
   
![image](https://user-images.githubusercontent.com/1191767/86472059-1d5fe780-bd71-11ea-9666-886d6ace0597.png)
   
   


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