Repository: spark Updated Branches: refs/heads/master e70aff6c2 -> bf719056b
[SPARK-3224] FetchFailed reduce stages should only show up once in failed stages (in UI) This is a HOTFIX for 1.1. Author: Reynold Xin <[email protected]> Author: Kay Ousterhout <[email protected]> Closes #2127 from rxin/SPARK-3224 and squashes the following commits: effb1ce [Reynold Xin] Move log message. 49282b3 [Reynold Xin] Kay's feedback. 3f01847 [Reynold Xin] Merge pull request #2 from kayousterhout/SPARK-3224 796d282 [Kay Ousterhout] Added unit test for SPARK-3224 3d3d356 [Reynold Xin] Remove map output loc even for repeated FetchFaileds. 1dd3eb5 [Reynold Xin] [SPARK-3224] FetchFailed reduce stages should only show up once in the failed stages UI. Project: http://git-wip-us.apache.org/repos/asf/spark/repo Commit: http://git-wip-us.apache.org/repos/asf/spark/commit/bf719056 Tree: http://git-wip-us.apache.org/repos/asf/spark/tree/bf719056 Diff: http://git-wip-us.apache.org/repos/asf/spark/diff/bf719056 Branch: refs/heads/master Commit: bf719056b71d55e1194554661dfa194ed03d364d Parents: e70aff6 Author: Reynold Xin <[email protected]> Authored: Tue Aug 26 21:59:48 2014 -0700 Committer: Patrick Wendell <[email protected]> Committed: Tue Aug 26 22:12:37 2014 -0700 ---------------------------------------------------------------------- .../apache/spark/scheduler/DAGScheduler.scala | 32 +++++++++------ .../spark/scheduler/DAGSchedulerSuite.scala | 41 +++++++++++++++++++- 2 files changed, 59 insertions(+), 14 deletions(-) ---------------------------------------------------------------------- http://git-wip-us.apache.org/repos/asf/spark/blob/bf719056/core/src/main/scala/org/apache/spark/scheduler/DAGScheduler.scala ---------------------------------------------------------------------- diff --git a/core/src/main/scala/org/apache/spark/scheduler/DAGScheduler.scala b/core/src/main/scala/org/apache/spark/scheduler/DAGScheduler.scala index 3413198..2ccc273 100644 --- a/core/src/main/scala/org/apache/spark/scheduler/DAGScheduler.scala +++ b/core/src/main/scala/org/apache/spark/scheduler/DAGScheduler.scala @@ -1045,31 +1045,39 @@ class DAGScheduler( stage.pendingTasks += task case FetchFailed(bmAddress, shuffleId, mapId, reduceId) => - // Mark the stage that the reducer was in as unrunnable val failedStage = stageIdToStage(task.stageId) - markStageAsFinished(failedStage, Some("Fetch failure")) - runningStages -= failedStage - // TODO: Cancel running tasks in the stage - logInfo("Marking " + failedStage + " (" + failedStage.name + - ") for resubmision due to a fetch failure") - // Mark the map whose fetch failed as broken in the map stage val mapStage = shuffleToMapStage(shuffleId) - if (mapId != -1) { - mapStage.removeOutputLoc(mapId, bmAddress) - mapOutputTracker.unregisterMapOutput(shuffleId, mapId, bmAddress) + + // It is likely that we receive multiple FetchFailed for a single stage (because we have + // multiple tasks running concurrently on different executors). In that case, it is possible + // the fetch failure has already been handled by the scheduler. + if (runningStages.contains(failedStage)) { + logInfo(s"Marking $failedStage (${failedStage.name}) as failed " + + s"due to a fetch failure from $mapStage (${mapStage.name})") + markStageAsFinished(failedStage, Some("Fetch failure")) + runningStages -= failedStage } - logInfo("The failed fetch was from " + mapStage + " (" + mapStage.name + - "); marking it for resubmission") + if (failedStages.isEmpty && eventProcessActor != null) { // Don't schedule an event to resubmit failed stages if failed isn't empty, because // in that case the event will already have been scheduled. eventProcessActor may be // null during unit tests. + // TODO: Cancel running tasks in the stage import env.actorSystem.dispatcher + logInfo(s"Resubmitting $mapStage (${mapStage.name}) and " + + s"$failedStage (${failedStage.name}) due to fetch failure") env.actorSystem.scheduler.scheduleOnce( RESUBMIT_TIMEOUT, eventProcessActor, ResubmitFailedStages) } failedStages += failedStage failedStages += mapStage + + // Mark the map whose fetch failed as broken in the map stage + if (mapId != -1) { + mapStage.removeOutputLoc(mapId, bmAddress) + mapOutputTracker.unregisterMapOutput(shuffleId, mapId, bmAddress) + } + // TODO: mark the executor as failed only if there were lots of fetch failures on it if (bmAddress != null) { handleExecutorLost(bmAddress.executorId, Some(task.epoch)) http://git-wip-us.apache.org/repos/asf/spark/blob/bf719056/core/src/test/scala/org/apache/spark/scheduler/DAGSchedulerSuite.scala ---------------------------------------------------------------------- diff --git a/core/src/test/scala/org/apache/spark/scheduler/DAGSchedulerSuite.scala b/core/src/test/scala/org/apache/spark/scheduler/DAGSchedulerSuite.scala index bd82975..f5fed98 100644 --- a/core/src/test/scala/org/apache/spark/scheduler/DAGSchedulerSuite.scala +++ b/core/src/test/scala/org/apache/spark/scheduler/DAGSchedulerSuite.scala @@ -17,7 +17,7 @@ package org.apache.spark.scheduler -import scala.collection.mutable.{HashSet, HashMap, Map} +import scala.collection.mutable.{ArrayBuffer, HashSet, HashMap, Map} import scala.language.reflectiveCalls import akka.actor._ @@ -98,7 +98,7 @@ class DAGSchedulerSuite extends TestKit(ActorSystem("DAGSchedulerSuite")) with F val WAIT_TIMEOUT_MILLIS = 10000 val sparkListener = new SparkListener() { val successfulStages = new HashSet[Int]() - val failedStages = new HashSet[Int]() + val failedStages = new ArrayBuffer[Int]() override def onStageCompleted(stageCompleted: SparkListenerStageCompleted) { val stageInfo = stageCompleted.stageInfo if (stageInfo.failureReason.isEmpty) { @@ -435,6 +435,43 @@ class DAGSchedulerSuite extends TestKit(ActorSystem("DAGSchedulerSuite")) with F assertDataStructuresEmpty } + test("trivial shuffle with multiple fetch failures") { + val shuffleMapRdd = new MyRDD(sc, 2, Nil) + val shuffleDep = new ShuffleDependency(shuffleMapRdd, null) + val shuffleId = shuffleDep.shuffleId + val reduceRdd = new MyRDD(sc, 2, List(shuffleDep)) + submit(reduceRdd, Array(0, 1)) + complete(taskSets(0), Seq( + (Success, makeMapStatus("hostA", 1)), + (Success, makeMapStatus("hostB", 1)))) + // The MapOutputTracker should know about both map output locations. + assert(mapOutputTracker.getServerStatuses(shuffleId, 0).map(_._1.host) === + Array("hostA", "hostB")) + + // The first result task fails, with a fetch failure for the output from the first mapper. + runEvent(CompletionEvent( + taskSets(1).tasks(0), + FetchFailed(makeBlockManagerId("hostA"), shuffleId, 0, 0), + null, + Map[Long, Any](), + null, + null)) + assert(sc.listenerBus.waitUntilEmpty(WAIT_TIMEOUT_MILLIS)) + assert(sparkListener.failedStages.contains(0)) + + // The second ResultTask fails, with a fetch failure for the output from the second mapper. + runEvent(CompletionEvent( + taskSets(1).tasks(0), + FetchFailed(makeBlockManagerId("hostA"), shuffleId, 1, 1), + null, + Map[Long, Any](), + null, + null)) + // The SparkListener should not receive redundant failure events. + assert(sc.listenerBus.waitUntilEmpty(WAIT_TIMEOUT_MILLIS)) + assert(sparkListener.failedStages.size == 1) + } + test("ignore late map task completions") { val shuffleMapRdd = new MyRDD(sc, 2, Nil) val shuffleDep = new ShuffleDependency(shuffleMapRdd, null) --------------------------------------------------------------------- To unsubscribe, e-mail: [email protected] For additional commands, e-mail: [email protected]
