cloud-fan commented on a change in pull request #28895:
URL: https://github.com/apache/spark/pull/28895#discussion_r443940713
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File path: core/src/main/scala/org/apache/spark/shuffle/ShuffleManager.scala
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@@ -43,26 +44,16 @@ private[spark] trait ShuffleManager {
context: TaskContext,
metrics: ShuffleWriteMetricsReporter): ShuffleWriter[K, V]
- /**
- * Get a reader for a range of reduce partitions (startPartition to
endPartition-1, inclusive).
- * Called on executors by reduce tasks.
- */
- def getReader[K, C](
- handle: ShuffleHandle,
- startPartition: Int,
- endPartition: Int,
- context: TaskContext,
- metrics: ShuffleReadMetricsReporter): ShuffleReader[K, C]
-
/**
* Get a reader for a range of reduce partitions (startPartition to
endPartition-1, inclusive) to
- * read from map output (startMapIndex to endMapIndex - 1, inclusive).
+ * read from a range of map outputs which specified by
mapIndexRange(startMapIndex to
+ * endMapIndex-1, inclusive).
+ *
* Called on executors by reduce tasks.
*/
- def getReaderForRange[K, C](
+ def getReader[K, C](
handle: ShuffleHandle,
- startMapIndex: Int,
- endMapIndex: Int,
+ mapIndexRange: Array[MapStatus] => (Int, Int),
Review comment:
It's a function only because we need to know the total number of
mappers? Maybe we can still use `startMapIndex: Int` and `endMapIndex: Int`,
caller side can use `Int.Max` as `endMapIndex`, to indicate that it wants to
read all the mappers.
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