cloud-fan commented on a change in pull request #26434: [SPARK-29544] [SQL] 
optimize skewed partition based on data size
URL: https://github.com/apache/spark/pull/26434#discussion_r358059427
 
 

 ##########
 File path: 
sql/core/src/test/scala/org/apache/spark/sql/execution/ReduceNumShufflePartitionsSuite.scala
 ##########
 @@ -59,8 +59,9 @@ class ReduceNumShufflePartitionsSuite extends SparkFunSuite 
with BeforeAndAfterA
       case (bytesByPartitionId, index) =>
         new MapOutputStatistics(index, bytesByPartitionId)
     }
+    val length = mapOutputStatistics.map(_.bytesByPartitionId.length).head
     val estimatedPartitionStartIndices =
-      rule.estimatePartitionStartIndices(mapOutputStatistics)
+      rule.estimatePartitionStartAndEndIndices(mapOutputStatistics).unzip._1
 
 Review comment:
   we also need to check there is no excluded partitions here, e.g. the end 
index = next start index - 1

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