Github user pwendell commented on a diff in the pull request:
https://github.com/apache/spark/pull/1507#discussion_r15903044
--- Diff: core/src/main/scala/org/apache/spark/executor/TaskMetrics.scala
---
@@ -98,19 +105,31 @@ class TaskMetrics extends Serializable {
*/
var updatedBlocks: Option[Seq[(BlockId, BlockStatus)]] = None
- /** Adds the given ShuffleReadMetrics to any existing shuffle metrics
for this task. */
- def updateShuffleReadMetrics(newMetrics: ShuffleReadMetrics) =
synchronized {
- _shuffleReadMetrics match {
- case Some(existingMetrics) =>
- existingMetrics.shuffleFinishTime = math.max(
- existingMetrics.shuffleFinishTime, newMetrics.shuffleFinishTime)
- existingMetrics.fetchWaitTime += newMetrics.fetchWaitTime
- existingMetrics.localBlocksFetched += newMetrics.localBlocksFetched
- existingMetrics.remoteBlocksFetched +=
newMetrics.remoteBlocksFetched
- existingMetrics.remoteBytesRead += newMetrics.remoteBytesRead
- case None =>
- _shuffleReadMetrics = Some(newMetrics)
+ /**
+ * A task may have multiple shuffle readers for multiple dependencies.
To avoid synchronization
+ * issues from readers in different threads, in-progress tasks use a
ShuffleReadMetrics for each
+ * dependency, and merge these metrics before reporting them to the
driver. This method returns
+ * a ShuffleReadMetrics for a dependency and registers it for merging
later.
+ */
+ def createShuffleReadMetricsForDependency(): ShuffleReadMetrics =
synchronized {
--- End diff --
can this be private[spark]?
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