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_r344814074
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File path: core/src/main/scala/org/apache/spark/shuffle/ShuffleManager.scala
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@@ -66,6 +66,18 @@ private[spark] trait ShuffleManager {
context: TaskContext,
metrics: ShuffleReadMetricsReporter): ShuffleReader[K, C]
+ /**
+ * Get a reader for the specific partitionIndex in map output statistics
that are
+ * produced by range mappers. Called on executors by reduce tasks.
+ */
+ def getReaderForRangeMapper[K, C](
Review comment:
we can probably merge this method with `getReaderForOneMapper`. one mapper
is just a special range mappers.
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