MAPREDUCE-6384. Add the last reporting reducer info for too many fetch failure diagnostics. Contributed by Chang Li

hadoop-mapreduce-project/CHANGES.txt

@@ -364,6 +364,9 @@ Release 2.8.0 - UNRELEASED
     MAPREDUCE-6408. Queue name and user name should be printed on the job page.
     (Siqi Li via gera)
 
+    MAPREDUCE-6384. Add the last reporting reducer info for too many fetch
+    failure diagnostics (Chang Li via jlowe)
+
   OPTIMIZATIONS
 
   BUG FIXES

hadoop-mapreduce-project/hadoop-mapreduce-client/hadoop-mapreduce-client-app/src/main/java/org/apache/hadoop/mapreduce/v2/app/job/event/JobTaskAttemptFetchFailureEvent.java

@@ -28,13 +28,15 @@ public class JobTaskAttemptFetchFailureEvent extends JobEvent {
 
   private final TaskAttemptId reduce;
   private final List<TaskAttemptId> maps;
+  private final String hostname;
 
   public JobTaskAttemptFetchFailureEvent(TaskAttemptId reduce, 
-      List<TaskAttemptId> maps) {
+      List<TaskAttemptId> maps, String host) {
     super(reduce.getTaskId().getJobId(),
         JobEventType.JOB_TASK_ATTEMPT_FETCH_FAILURE);
     this.reduce = reduce;
     this.maps = maps;
+    this.hostname = host;
   }
 
   public List<TaskAttemptId> getMaps() {
@@ -45,4 +47,7 @@ public TaskAttemptId getReduce() {
     return reduce;
   }
 
+  public String getHost() {
+    return hostname;
+  }
 }

hadoop-mapreduce-project/hadoop-mapreduce-client/hadoop-mapreduce-client-app/src/main/java/org/apache/hadoop/mapreduce/v2/app/job/event/TaskAttemptTooManyFetchFailureEvent.java

@@ -0,0 +1,50 @@
+/**
+* Licensed to the Apache Software Foundation (ASF) under one
+* or more contributor license agreements.  See the NOTICE file
+* distributed with this work for additional information
+* regarding copyright ownership.  The ASF licenses this file
+* to you under the Apache License, Version 2.0 (the
+* "License"); you may not use this file except in compliance
+* with the License.  You may obtain a copy of the License at
+*
+*     http://www.apache.org/licenses/LICENSE-2.0
+*
+* Unless required by applicable law or agreed to in writing, software
+* distributed under the License is distributed on an "AS IS" BASIS,
+* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+* See the License for the specific language governing permissions and
+* limitations under the License.
+*/
+
+package org.apache.hadoop.mapreduce.v2.app.job.event;
+
+import org.apache.hadoop.mapreduce.v2.api.records.TaskAttemptId;
+
+/**
+ * TaskAttemptTooManyFetchFailureEvent is used for TA_TOO_MANY_FETCH_FAILURE.
+ */
+public class TaskAttemptTooManyFetchFailureEvent extends TaskAttemptEvent {
+  private TaskAttemptId reduceID;
+  private String  reduceHostname;
+
+  /**
+   * Create a new TaskAttemptTooManyFetchFailureEvent.
+   * @param attemptId the id of the mapper task attempt
+   * @param reduceId the id of the reporting reduce task attempt.
+   * @param reduceHost the hostname of the reporting reduce task attempt.
+   */
+  public TaskAttemptTooManyFetchFailureEvent(TaskAttemptId attemptId,
+      TaskAttemptId reduceId, String reduceHost) {
+      super(attemptId, TaskAttemptEventType.TA_TOO_MANY_FETCH_FAILURE);
+    this.reduceID = reduceId;
+    this.reduceHostname = reduceHost;
+  }
+
+  public TaskAttemptId getReduceId() {
+    return reduceID;
+  }
+
+  public String getReduceHost() {
+    return reduceHostname;
+  }  
+}

hadoop-mapreduce-project/hadoop-mapreduce-client/hadoop-mapreduce-client-app/src/main/java/org/apache/hadoop/mapreduce/v2/app/job/impl/JobImpl.java

@@ -103,9 +103,8 @@
 import org.apache.hadoop.mapreduce.v2.app.job.event.JobTaskAttemptFetchFailureEvent;
 import org.apache.hadoop.mapreduce.v2.app.job.event.JobTaskEvent;
 import org.apache.hadoop.mapreduce.v2.app.job.event.JobUpdatedNodesEvent;
-import org.apache.hadoop.mapreduce.v2.app.job.event.TaskAttemptEvent;
-import org.apache.hadoop.mapreduce.v2.app.job.event.TaskAttemptEventType;
 import org.apache.hadoop.mapreduce.v2.app.job.event.TaskAttemptKillEvent;
+import org.apache.hadoop.mapreduce.v2.app.job.event.TaskAttemptTooManyFetchFailureEvent;
 import org.apache.hadoop.mapreduce.v2.app.job.event.TaskEvent;
 import org.apache.hadoop.mapreduce.v2.app.job.event.TaskEventType;
 import org.apache.hadoop.mapreduce.v2.app.job.event.TaskRecoverEvent;
@@ -1914,8 +1913,8 @@ public void transition(JobImpl job, JobEvent event) {
             && failureRate >= job.getMaxAllowedFetchFailuresFraction()) {
           LOG.info("Too many fetch-failures for output of task attempt: " + 
               mapId + " ... raising fetch failure to map");
-          job.eventHandler.handle(new TaskAttemptEvent(mapId, 
+          job.eventHandler.handle(new TaskAttemptTooManyFetchFailureEvent(mapId,
-              TaskAttemptEventType.TA_TOO_MANY_FETCH_FAILURE));
+              fetchfailureEvent.getReduce(), fetchfailureEvent.getHost()));
           job.fetchFailuresMapping.remove(mapId);
         }
       }

hadoop-mapreduce-project/hadoop-mapreduce-client/hadoop-mapreduce-client-app/src/main/java/org/apache/hadoop/mapreduce/v2/app/job/impl/TaskAttemptImpl.java

@@ -95,6 +95,7 @@
 import org.apache.hadoop.mapreduce.v2.app.job.event.TaskAttemptRecoverEvent;
 import org.apache.hadoop.mapreduce.v2.app.job.event.TaskAttemptStatusUpdateEvent;
 import org.apache.hadoop.mapreduce.v2.app.job.event.TaskAttemptStatusUpdateEvent.TaskAttemptStatus;
+import org.apache.hadoop.mapreduce.v2.app.job.event.TaskAttemptTooManyFetchFailureEvent;
 import org.apache.hadoop.mapreduce.v2.app.job.event.TaskEventType;
 import org.apache.hadoop.mapreduce.v2.app.job.event.TaskTAttemptEvent;
 import org.apache.hadoop.mapreduce.v2.app.launcher.ContainerLauncher;
@@ -1916,11 +1917,16 @@ private static class TooManyFetchFailureTransition implements
     @SuppressWarnings("unchecked")
     @Override
     public void transition(TaskAttemptImpl taskAttempt, TaskAttemptEvent event) {
+      TaskAttemptTooManyFetchFailureEvent fetchFailureEvent =
+          (TaskAttemptTooManyFetchFailureEvent) event;
       // too many fetch failure can only happen for map tasks
       Preconditions
           .checkArgument(taskAttempt.getID().getTaskId().getTaskType() == TaskType.MAP);
       //add to diagnostic
-      taskAttempt.addDiagnosticInfo("Too Many fetch failures.Failing the attempt");
+      taskAttempt.addDiagnosticInfo("Too many fetch failures."
+          + " Failing the attempt. Last failure reported by " +
+          fetchFailureEvent.getReduceId() +
+          " from host " + fetchFailureEvent.getReduceHost());
 
       if (taskAttempt.getLaunchTime() != 0) {
         taskAttempt.eventHandler
@@ -2225,8 +2231,11 @@ public void transition(TaskAttemptImpl taskAttempt,
       //this only will happen in reduce attempt type
       if (taskAttempt.reportedStatus.fetchFailedMaps != null && 
           taskAttempt.reportedStatus.fetchFailedMaps.size() > 0) {
+        String hostname = taskAttempt.container == null ? "UNKNOWN"
+            : taskAttempt.container.getNodeId().getHost();
         taskAttempt.eventHandler.handle(new JobTaskAttemptFetchFailureEvent(
-            taskAttempt.attemptId, taskAttempt.reportedStatus.fetchFailedMaps));
+            taskAttempt.attemptId, taskAttempt.reportedStatus.fetchFailedMaps,
+                hostname));
       }
     }
   }

hadoop-mapreduce-project/hadoop-mapreduce-client/hadoop-mapreduce-client-app/src/test/java/org/apache/hadoop/mapreduce/v2/app/TestFetchFailure.java

@@ -94,9 +94,9 @@ public void testFetchFailure() throws Exception {
     app.waitForState(reduceAttempt, TaskAttemptState.RUNNING);
     
     //send 3 fetch failures from reduce to trigger map re execution
-    sendFetchFailure(app, reduceAttempt, mapAttempt1);
+    sendFetchFailure(app, reduceAttempt, mapAttempt1, "host");
-    sendFetchFailure(app, reduceAttempt, mapAttempt1);
+    sendFetchFailure(app, reduceAttempt, mapAttempt1, "host");
-    sendFetchFailure(app, reduceAttempt, mapAttempt1);
+    sendFetchFailure(app, reduceAttempt, mapAttempt1, "host");
 
     //wait for map Task state move back to RUNNING
     app.waitForState(mapTask, TaskState.RUNNING);
@@ -215,9 +215,9 @@ public void testFetchFailureWithRecovery() throws Exception {
     app.waitForState(reduceAttempt, TaskAttemptState.RUNNING);
 
     //send 3 fetch failures from reduce to trigger map re execution
-    sendFetchFailure(app, reduceAttempt, mapAttempt1);
+    sendFetchFailure(app, reduceAttempt, mapAttempt1, "host");
-    sendFetchFailure(app, reduceAttempt, mapAttempt1);
+    sendFetchFailure(app, reduceAttempt, mapAttempt1, "host");
-    sendFetchFailure(app, reduceAttempt, mapAttempt1);
+    sendFetchFailure(app, reduceAttempt, mapAttempt1, "host");
 
     //wait for map Task state move back to RUNNING
     app.waitForState(mapTask, TaskState.RUNNING);
@@ -324,8 +324,8 @@ public void testFetchFailureMultipleReduces() throws Exception {
     updateStatus(app, reduceAttempt3, Phase.SHUFFLE);
 
     //send 2 fetch failures from reduce to prepare for map re execution
-    sendFetchFailure(app, reduceAttempt, mapAttempt1);
+    sendFetchFailure(app, reduceAttempt, mapAttempt1, "host1");
-    sendFetchFailure(app, reduceAttempt, mapAttempt1);
+    sendFetchFailure(app, reduceAttempt2, mapAttempt1, "host2");
 
     //We should not re-launch the map task yet
     assertEquals(TaskState.SUCCEEDED, mapTask.getState());
@@ -333,7 +333,7 @@ public void testFetchFailureMultipleReduces() throws Exception {
     updateStatus(app, reduceAttempt3, Phase.REDUCE);
 
     //send 3rd fetch failures from reduce to trigger map re execution
-    sendFetchFailure(app, reduceAttempt, mapAttempt1);
+    sendFetchFailure(app, reduceAttempt3, mapAttempt1, "host3");
 
     //wait for map Task state move back to RUNNING
     app.waitForState(mapTask, TaskState.RUNNING);
@@ -342,6 +342,11 @@ public void testFetchFailureMultipleReduces() throws Exception {
     Assert.assertEquals("Map TaskAttempt state not correct",
         TaskAttemptState.FAILED, mapAttempt1.getState());
 
+    Assert.assertEquals(mapAttempt1.getDiagnostics().get(0),
+            "Too many fetch failures. Failing the attempt. "
+            + "Last failure reported by "
+            + reduceAttempt3.getID().toString() + " from host host3");
+
     Assert.assertEquals("Num attempts in Map Task not correct",
         2, mapTask.getAttempts().size());
     
@@ -411,7 +416,6 @@ public void testFetchFailureMultipleReduces() throws Exception {
         mapEvents[0]);
   }
 
-
   private void updateStatus(MRApp app, TaskAttempt attempt, Phase phase) {
     TaskAttemptStatusUpdateEvent.TaskAttemptStatus status = new TaskAttemptStatusUpdateEvent.TaskAttemptStatus();
     status.counters = new Counters();
@@ -430,11 +434,12 @@ private void updateStatus(MRApp app, TaskAttempt attempt, Phase phase) {
   }
 
   private void sendFetchFailure(MRApp app, TaskAttempt reduceAttempt, 
-      TaskAttempt mapAttempt) {
+      TaskAttempt mapAttempt, String hostname) {
     app.getContext().getEventHandler().handle(
         new JobTaskAttemptFetchFailureEvent(
             reduceAttempt.getID(), 
-            Arrays.asList(new TaskAttemptId[] {mapAttempt.getID()})));
+            Arrays.asList(new TaskAttemptId[] {mapAttempt.getID()}),
+                hostname));
   }
   
   static class MRAppWithHistory extends MRApp {

hadoop-mapreduce-project/hadoop-mapreduce-client/hadoop-mapreduce-client-app/src/test/java/org/apache/hadoop/mapreduce/v2/app/job/impl/TestTaskAttempt.java

@@ -70,6 +70,7 @@
 import org.apache.hadoop.mapreduce.v2.app.job.event.TaskAttemptContainerAssignedEvent;
 import org.apache.hadoop.mapreduce.v2.app.job.event.TaskAttemptContainerLaunchedEvent;
 import org.apache.hadoop.mapreduce.v2.app.job.event.TaskAttemptDiagnosticsUpdateEvent;
+import org.apache.hadoop.mapreduce.v2.app.job.event.TaskAttemptTooManyFetchFailureEvent;
 import org.apache.hadoop.mapreduce.v2.app.job.event.TaskAttemptEvent;
 import org.apache.hadoop.mapreduce.v2.app.job.event.TaskAttemptEventType;
 import org.apache.hadoop.mapreduce.v2.app.rm.ContainerRequestEvent;
@@ -507,6 +508,9 @@ public void testDoubleTooManyFetchFailure() throws Exception {
     JobId jobId = MRBuilderUtils.newJobId(appId, 1);
     TaskId taskId = MRBuilderUtils.newTaskId(jobId, 1, TaskType.MAP);
     TaskAttemptId attemptId = MRBuilderUtils.newTaskAttemptId(taskId, 0);
+    TaskId reduceTaskId = MRBuilderUtils.newTaskId(jobId, 1, TaskType.REDUCE);
+    TaskAttemptId reduceTAId =
+        MRBuilderUtils.newTaskAttemptId(reduceTaskId, 0);
     Path jobFile = mock(Path.class);
 
     MockEventHandler eventHandler = new MockEventHandler();
@@ -554,8 +558,8 @@ public void testDoubleTooManyFetchFailure() throws Exception {
 
     assertEquals("Task attempt is not in succeeded state", taImpl.getState(),
         TaskAttemptState.SUCCEEDED);
-    taImpl.handle(new TaskAttemptEvent(attemptId,
+    taImpl.handle(new TaskAttemptTooManyFetchFailureEvent(attemptId,
-        TaskAttemptEventType.TA_TOO_MANY_FETCH_FAILURE));
+        reduceTAId, "Host"));
     assertEquals("Task attempt is not in FAILED state", taImpl.getState(),
         TaskAttemptState.FAILED);
     taImpl.handle(new TaskAttemptEvent(attemptId,
@@ -741,6 +745,9 @@ public void testFetchFailureAttemptFinishTime() throws Exception{
     JobId jobId = MRBuilderUtils.newJobId(appId, 1);
     TaskId taskId = MRBuilderUtils.newTaskId(jobId, 1, TaskType.MAP);
     TaskAttemptId attemptId = MRBuilderUtils.newTaskAttemptId(taskId, 0);
+    TaskId reducetaskId = MRBuilderUtils.newTaskId(jobId, 1, TaskType.REDUCE);
+    TaskAttemptId reduceTAId =
+        MRBuilderUtils.newTaskAttemptId(reducetaskId, 0);
     Path jobFile = mock(Path.class);
 
     MockEventHandler eventHandler = new MockEventHandler();
@@ -792,8 +799,8 @@ public void testFetchFailureAttemptFinishTime() throws Exception{
 
     Long finishTime = taImpl.getFinishTime();
     Thread.sleep(5);
-	taImpl.handle(new TaskAttemptEvent(attemptId,
+    taImpl.handle(new TaskAttemptTooManyFetchFailureEvent(attemptId,
-	   TaskAttemptEventType.TA_TOO_MANY_FETCH_FAILURE));
+        reduceTAId, "Host"));
 
     assertEquals("Task attempt is not in Too Many Fetch Failure state",
         taImpl.getState(), TaskAttemptState.FAILED);