MAPREDUCE-6384. Add the last reporting reducer info for too many fetch failure diagnostics. Contributed by Chang Li
(cherry picked from commit b6ba56457c)
This commit is contained in:
Jason Lowe
parent
6719fc94e1
commit
fdfd5be2b3
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@ -97,6 +97,9 @@ Release 2.8.0 - UNRELEASED
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MAPREDUCE-6408. Queue name and user name should be printed on the job page.
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(Siqi Li via gera)
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MAPREDUCE-6384. Add the last reporting reducer info for too many fetch
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failure diagnostics (Chang Li via jlowe)
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OPTIMIZATIONS
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BUG FIXES
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@ -28,13 +28,15 @@ public class JobTaskAttemptFetchFailureEvent extends JobEvent {
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private final TaskAttemptId reduce;
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private final List<TaskAttemptId> maps;
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private final String hostname;
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public JobTaskAttemptFetchFailureEvent(TaskAttemptId reduce,
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List<TaskAttemptId> maps) {
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super(reduce.getTaskId().getJobId(),
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List<TaskAttemptId> maps, String host) {
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super(reduce.getTaskId().getJobId(),
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JobEventType.JOB_TASK_ATTEMPT_FETCH_FAILURE);
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this.reduce = reduce;
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this.maps = maps;
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this.hostname = host;
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}
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public List<TaskAttemptId> getMaps() {
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@ -45,4 +47,7 @@ public class JobTaskAttemptFetchFailureEvent extends JobEvent {
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return reduce;
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}
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public String getHost() {
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return hostname;
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}
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}
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@ -0,0 +1,50 @@
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/**
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* Licensed to the Apache Software Foundation (ASF) under one
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* or more contributor license agreements. See the NOTICE file
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* distributed with this work for additional information
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* regarding copyright ownership. The ASF licenses this file
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* to you under the Apache License, Version 2.0 (the
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* "License"); you may not use this file except in compliance
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* with the License. You may obtain a copy of the License at
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*
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* http://www.apache.org/licenses/LICENSE-2.0
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*
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* Unless required by applicable law or agreed to in writing, software
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* distributed under the License is distributed on an "AS IS" BASIS,
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* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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* See the License for the specific language governing permissions and
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* limitations under the License.
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*/
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package org.apache.hadoop.mapreduce.v2.app.job.event;
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import org.apache.hadoop.mapreduce.v2.api.records.TaskAttemptId;
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/**
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* TaskAttemptTooManyFetchFailureEvent is used for TA_TOO_MANY_FETCH_FAILURE.
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*/
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public class TaskAttemptTooManyFetchFailureEvent extends TaskAttemptEvent {
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private TaskAttemptId reduceID;
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private String reduceHostname;
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/**
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* Create a new TaskAttemptTooManyFetchFailureEvent.
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* @param attemptId the id of the mapper task attempt
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* @param reduceId the id of the reporting reduce task attempt.
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* @param reduceHost the hostname of the reporting reduce task attempt.
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*/
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public TaskAttemptTooManyFetchFailureEvent(TaskAttemptId attemptId,
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TaskAttemptId reduceId, String reduceHost) {
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super(attemptId, TaskAttemptEventType.TA_TOO_MANY_FETCH_FAILURE);
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this.reduceID = reduceId;
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this.reduceHostname = reduceHost;
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}
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public TaskAttemptId getReduceId() {
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return reduceID;
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}
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public String getReduceHost() {
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return reduceHostname;
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}
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}
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@ -103,9 +103,8 @@ import org.apache.hadoop.mapreduce.v2.app.job.event.JobTaskAttemptCompletedEvent
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import org.apache.hadoop.mapreduce.v2.app.job.event.JobTaskAttemptFetchFailureEvent;
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import org.apache.hadoop.mapreduce.v2.app.job.event.JobTaskEvent;
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import org.apache.hadoop.mapreduce.v2.app.job.event.JobUpdatedNodesEvent;
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import org.apache.hadoop.mapreduce.v2.app.job.event.TaskAttemptEvent;
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import org.apache.hadoop.mapreduce.v2.app.job.event.TaskAttemptEventType;
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import org.apache.hadoop.mapreduce.v2.app.job.event.TaskAttemptKillEvent;
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import org.apache.hadoop.mapreduce.v2.app.job.event.TaskAttemptTooManyFetchFailureEvent;
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import org.apache.hadoop.mapreduce.v2.app.job.event.TaskEvent;
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import org.apache.hadoop.mapreduce.v2.app.job.event.TaskEventType;
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import org.apache.hadoop.mapreduce.v2.app.job.event.TaskRecoverEvent;
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@ -1914,8 +1913,8 @@ public class JobImpl implements org.apache.hadoop.mapreduce.v2.app.job.Job,
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&& failureRate >= job.getMaxAllowedFetchFailuresFraction()) {
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LOG.info("Too many fetch-failures for output of task attempt: " +
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mapId + " ... raising fetch failure to map");
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job.eventHandler.handle(new TaskAttemptEvent(mapId,
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TaskAttemptEventType.TA_TOO_MANY_FETCH_FAILURE));
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job.eventHandler.handle(new TaskAttemptTooManyFetchFailureEvent(mapId,
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fetchfailureEvent.getReduce(), fetchfailureEvent.getHost()));
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job.fetchFailuresMapping.remove(mapId);
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}
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}
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@ -95,6 +95,7 @@ import org.apache.hadoop.mapreduce.v2.app.job.event.TaskAttemptKillEvent;
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import org.apache.hadoop.mapreduce.v2.app.job.event.TaskAttemptRecoverEvent;
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import org.apache.hadoop.mapreduce.v2.app.job.event.TaskAttemptStatusUpdateEvent;
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import org.apache.hadoop.mapreduce.v2.app.job.event.TaskAttemptStatusUpdateEvent.TaskAttemptStatus;
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import org.apache.hadoop.mapreduce.v2.app.job.event.TaskAttemptTooManyFetchFailureEvent;
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import org.apache.hadoop.mapreduce.v2.app.job.event.TaskEventType;
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import org.apache.hadoop.mapreduce.v2.app.job.event.TaskTAttemptEvent;
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import org.apache.hadoop.mapreduce.v2.app.launcher.ContainerLauncher;
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@ -1923,12 +1924,17 @@ public abstract class TaskAttemptImpl implements
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@SuppressWarnings("unchecked")
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@Override
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public void transition(TaskAttemptImpl taskAttempt, TaskAttemptEvent event) {
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TaskAttemptTooManyFetchFailureEvent fetchFailureEvent =
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(TaskAttemptTooManyFetchFailureEvent) event;
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// too many fetch failure can only happen for map tasks
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Preconditions
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.checkArgument(taskAttempt.getID().getTaskId().getTaskType() == TaskType.MAP);
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//add to diagnostic
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taskAttempt.addDiagnosticInfo("Too Many fetch failures.Failing the attempt");
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taskAttempt.addDiagnosticInfo("Too many fetch failures."
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+ " Failing the attempt. Last failure reported by " +
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fetchFailureEvent.getReduceId() +
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" from host " + fetchFailureEvent.getReduceHost());
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if (taskAttempt.getLaunchTime() != 0) {
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taskAttempt.eventHandler
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.handle(createJobCounterUpdateEventTAFailed(taskAttempt, true));
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@ -2211,8 +2217,11 @@ public abstract class TaskAttemptImpl implements
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//this only will happen in reduce attempt type
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if (taskAttempt.reportedStatus.fetchFailedMaps != null &&
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taskAttempt.reportedStatus.fetchFailedMaps.size() > 0) {
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String hostname = taskAttempt.container == null ? "UNKNOWN"
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: taskAttempt.container.getNodeId().getHost();
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taskAttempt.eventHandler.handle(new JobTaskAttemptFetchFailureEvent(
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taskAttempt.attemptId, taskAttempt.reportedStatus.fetchFailedMaps));
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taskAttempt.attemptId, taskAttempt.reportedStatus.fetchFailedMaps,
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hostname));
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}
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}
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}
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@ -94,10 +94,10 @@ public class TestFetchFailure {
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app.waitForState(reduceAttempt, TaskAttemptState.RUNNING);
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//send 3 fetch failures from reduce to trigger map re execution
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sendFetchFailure(app, reduceAttempt, mapAttempt1);
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sendFetchFailure(app, reduceAttempt, mapAttempt1);
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sendFetchFailure(app, reduceAttempt, mapAttempt1);
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sendFetchFailure(app, reduceAttempt, mapAttempt1, "host");
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sendFetchFailure(app, reduceAttempt, mapAttempt1, "host");
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sendFetchFailure(app, reduceAttempt, mapAttempt1, "host");
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//wait for map Task state move back to RUNNING
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app.waitForState(mapTask, TaskState.RUNNING);
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@ -215,9 +215,9 @@ public class TestFetchFailure {
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app.waitForState(reduceAttempt, TaskAttemptState.RUNNING);
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//send 3 fetch failures from reduce to trigger map re execution
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sendFetchFailure(app, reduceAttempt, mapAttempt1);
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sendFetchFailure(app, reduceAttempt, mapAttempt1);
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sendFetchFailure(app, reduceAttempt, mapAttempt1);
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sendFetchFailure(app, reduceAttempt, mapAttempt1, "host");
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sendFetchFailure(app, reduceAttempt, mapAttempt1, "host");
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sendFetchFailure(app, reduceAttempt, mapAttempt1, "host");
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//wait for map Task state move back to RUNNING
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app.waitForState(mapTask, TaskState.RUNNING);
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@ -324,8 +324,8 @@ public class TestFetchFailure {
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updateStatus(app, reduceAttempt3, Phase.SHUFFLE);
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//send 2 fetch failures from reduce to prepare for map re execution
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sendFetchFailure(app, reduceAttempt, mapAttempt1);
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sendFetchFailure(app, reduceAttempt, mapAttempt1);
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sendFetchFailure(app, reduceAttempt, mapAttempt1, "host1");
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sendFetchFailure(app, reduceAttempt2, mapAttempt1, "host2");
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//We should not re-launch the map task yet
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assertEquals(TaskState.SUCCEEDED, mapTask.getState());
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@ -333,7 +333,7 @@ public class TestFetchFailure {
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updateStatus(app, reduceAttempt3, Phase.REDUCE);
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//send 3rd fetch failures from reduce to trigger map re execution
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sendFetchFailure(app, reduceAttempt, mapAttempt1);
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sendFetchFailure(app, reduceAttempt3, mapAttempt1, "host3");
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//wait for map Task state move back to RUNNING
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app.waitForState(mapTask, TaskState.RUNNING);
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@ -342,6 +342,11 @@ public class TestFetchFailure {
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Assert.assertEquals("Map TaskAttempt state not correct",
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TaskAttemptState.FAILED, mapAttempt1.getState());
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Assert.assertEquals(mapAttempt1.getDiagnostics().get(0),
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"Too many fetch failures. Failing the attempt. "
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+ "Last failure reported by "
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+ reduceAttempt3.getID().toString() + " from host host3");
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Assert.assertEquals("Num attempts in Map Task not correct",
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2, mapTask.getAttempts().size());
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@ -410,7 +415,6 @@ public class TestFetchFailure {
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Assert.assertEquals("Unexpected map event", convertedEvents[2],
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mapEvents[0]);
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}
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private void updateStatus(MRApp app, TaskAttempt attempt, Phase phase) {
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TaskAttemptStatusUpdateEvent.TaskAttemptStatus status = new TaskAttemptStatusUpdateEvent.TaskAttemptStatus();
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@ -430,11 +434,12 @@ public class TestFetchFailure {
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}
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private void sendFetchFailure(MRApp app, TaskAttempt reduceAttempt,
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TaskAttempt mapAttempt) {
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TaskAttempt mapAttempt, String hostname) {
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app.getContext().getEventHandler().handle(
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new JobTaskAttemptFetchFailureEvent(
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reduceAttempt.getID(),
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Arrays.asList(new TaskAttemptId[] {mapAttempt.getID()})));
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Arrays.asList(new TaskAttemptId[] {mapAttempt.getID()}),
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hostname));
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}
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static class MRAppWithHistory extends MRApp {
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@ -70,6 +70,7 @@ import org.apache.hadoop.mapreduce.v2.app.job.event.JobEventType;
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import org.apache.hadoop.mapreduce.v2.app.job.event.TaskAttemptContainerAssignedEvent;
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import org.apache.hadoop.mapreduce.v2.app.job.event.TaskAttemptContainerLaunchedEvent;
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import org.apache.hadoop.mapreduce.v2.app.job.event.TaskAttemptDiagnosticsUpdateEvent;
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import org.apache.hadoop.mapreduce.v2.app.job.event.TaskAttemptTooManyFetchFailureEvent;
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import org.apache.hadoop.mapreduce.v2.app.job.event.TaskAttemptEvent;
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import org.apache.hadoop.mapreduce.v2.app.job.event.TaskAttemptEventType;
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import org.apache.hadoop.mapreduce.v2.app.rm.ContainerRequestEvent;
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@ -507,6 +508,9 @@ public class TestTaskAttempt{
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JobId jobId = MRBuilderUtils.newJobId(appId, 1);
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TaskId taskId = MRBuilderUtils.newTaskId(jobId, 1, TaskType.MAP);
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TaskAttemptId attemptId = MRBuilderUtils.newTaskAttemptId(taskId, 0);
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TaskId reduceTaskId = MRBuilderUtils.newTaskId(jobId, 1, TaskType.REDUCE);
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TaskAttemptId reduceTAId =
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MRBuilderUtils.newTaskAttemptId(reduceTaskId, 0);
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Path jobFile = mock(Path.class);
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MockEventHandler eventHandler = new MockEventHandler();
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@ -554,8 +558,8 @@ public class TestTaskAttempt{
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assertEquals("Task attempt is not in succeeded state", taImpl.getState(),
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TaskAttemptState.SUCCEEDED);
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taImpl.handle(new TaskAttemptEvent(attemptId,
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TaskAttemptEventType.TA_TOO_MANY_FETCH_FAILURE));
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taImpl.handle(new TaskAttemptTooManyFetchFailureEvent(attemptId,
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reduceTAId, "Host"));
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assertEquals("Task attempt is not in FAILED state", taImpl.getState(),
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TaskAttemptState.FAILED);
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taImpl.handle(new TaskAttemptEvent(attemptId,
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@ -735,72 +739,75 @@ public class TestTaskAttempt{
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@Test
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public void testFetchFailureAttemptFinishTime() throws Exception{
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ApplicationId appId = ApplicationId.newInstance(1, 2);
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ApplicationAttemptId appAttemptId =
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ApplicationAttemptId.newInstance(appId, 0);
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JobId jobId = MRBuilderUtils.newJobId(appId, 1);
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TaskId taskId = MRBuilderUtils.newTaskId(jobId, 1, TaskType.MAP);
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TaskAttemptId attemptId = MRBuilderUtils.newTaskAttemptId(taskId, 0);
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Path jobFile = mock(Path.class);
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ApplicationId appId = ApplicationId.newInstance(1, 2);
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ApplicationAttemptId appAttemptId =
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ApplicationAttemptId.newInstance(appId, 0);
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JobId jobId = MRBuilderUtils.newJobId(appId, 1);
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TaskId taskId = MRBuilderUtils.newTaskId(jobId, 1, TaskType.MAP);
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TaskAttemptId attemptId = MRBuilderUtils.newTaskAttemptId(taskId, 0);
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TaskId reducetaskId = MRBuilderUtils.newTaskId(jobId, 1, TaskType.REDUCE);
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TaskAttemptId reduceTAId =
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MRBuilderUtils.newTaskAttemptId(reducetaskId, 0);
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Path jobFile = mock(Path.class);
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MockEventHandler eventHandler = new MockEventHandler();
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TaskAttemptListener taListener = mock(TaskAttemptListener.class);
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when(taListener.getAddress()).thenReturn(
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new InetSocketAddress("localhost", 0));
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MockEventHandler eventHandler = new MockEventHandler();
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TaskAttemptListener taListener = mock(TaskAttemptListener.class);
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when(taListener.getAddress()).thenReturn(
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new InetSocketAddress("localhost", 0));
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JobConf jobConf = new JobConf();
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jobConf.setClass("fs.file.impl", StubbedFS.class, FileSystem.class);
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jobConf.setBoolean("fs.file.impl.disable.cache", true);
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jobConf.set(JobConf.MAPRED_MAP_TASK_ENV, "");
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jobConf.set(MRJobConfig.APPLICATION_ATTEMPT_ID, "10");
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JobConf jobConf = new JobConf();
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jobConf.setClass("fs.file.impl", StubbedFS.class, FileSystem.class);
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jobConf.setBoolean("fs.file.impl.disable.cache", true);
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jobConf.set(JobConf.MAPRED_MAP_TASK_ENV, "");
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jobConf.set(MRJobConfig.APPLICATION_ATTEMPT_ID, "10");
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TaskSplitMetaInfo splits = mock(TaskSplitMetaInfo.class);
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when(splits.getLocations()).thenReturn(new String[] {"127.0.0.1"});
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TaskSplitMetaInfo splits = mock(TaskSplitMetaInfo.class);
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when(splits.getLocations()).thenReturn(new String[] {"127.0.0.1"});
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AppContext appCtx = mock(AppContext.class);
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ClusterInfo clusterInfo = mock(ClusterInfo.class);
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when(appCtx.getClusterInfo()).thenReturn(clusterInfo);
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setupTaskAttemptFinishingMonitor(eventHandler, jobConf, appCtx);
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AppContext appCtx = mock(AppContext.class);
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ClusterInfo clusterInfo = mock(ClusterInfo.class);
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when(appCtx.getClusterInfo()).thenReturn(clusterInfo);
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setupTaskAttemptFinishingMonitor(eventHandler, jobConf, appCtx);
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TaskAttemptImpl taImpl =
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new MapTaskAttemptImpl(taskId, 1, eventHandler, jobFile, 1,
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splits, jobConf, taListener,mock(Token.class), new Credentials(),
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new SystemClock(), appCtx);
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TaskAttemptImpl taImpl =
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new MapTaskAttemptImpl(taskId, 1, eventHandler, jobFile, 1,
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splits, jobConf, taListener,mock(Token.class), new Credentials(),
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new SystemClock(), appCtx);
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NodeId nid = NodeId.newInstance("127.0.0.1", 0);
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ContainerId contId = ContainerId.newContainerId(appAttemptId, 3);
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Container container = mock(Container.class);
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when(container.getId()).thenReturn(contId);
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when(container.getNodeId()).thenReturn(nid);
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when(container.getNodeHttpAddress()).thenReturn("localhost:0");
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taImpl.handle(new TaskAttemptEvent(attemptId,
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TaskAttemptEventType.TA_SCHEDULE));
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taImpl.handle(new TaskAttemptContainerAssignedEvent(attemptId,
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container, mock(Map.class)));
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taImpl.handle(new TaskAttemptContainerLaunchedEvent(attemptId, 0));
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taImpl.handle(new TaskAttemptEvent(attemptId,
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TaskAttemptEventType.TA_DONE));
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taImpl.handle(new TaskAttemptEvent(attemptId,
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TaskAttemptEventType.TA_CONTAINER_COMPLETED));
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assertEquals("Task attempt is not in succeeded state", taImpl.getState(),
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TaskAttemptState.SUCCEEDED);
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assertTrue("Task Attempt finish time is not greater than 0",
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taImpl.getFinishTime() > 0);
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Long finishTime = taImpl.getFinishTime();
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Thread.sleep(5);
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taImpl.handle(new TaskAttemptEvent(attemptId,
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TaskAttemptEventType.TA_TOO_MANY_FETCH_FAILURE));
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assertEquals("Task attempt is not in Too Many Fetch Failure state",
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taImpl.getState(), TaskAttemptState.FAILED);
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assertEquals("After TA_TOO_MANY_FETCH_FAILURE,"
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+ " Task attempt finish time is not the same ",
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finishTime, Long.valueOf(taImpl.getFinishTime()));
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NodeId nid = NodeId.newInstance("127.0.0.1", 0);
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ContainerId contId = ContainerId.newContainerId(appAttemptId, 3);
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Container container = mock(Container.class);
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when(container.getId()).thenReturn(contId);
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when(container.getNodeId()).thenReturn(nid);
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when(container.getNodeHttpAddress()).thenReturn("localhost:0");
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taImpl.handle(new TaskAttemptEvent(attemptId,
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TaskAttemptEventType.TA_SCHEDULE));
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taImpl.handle(new TaskAttemptContainerAssignedEvent(attemptId,
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container, mock(Map.class)));
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taImpl.handle(new TaskAttemptContainerLaunchedEvent(attemptId, 0));
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taImpl.handle(new TaskAttemptEvent(attemptId,
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TaskAttemptEventType.TA_DONE));
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taImpl.handle(new TaskAttemptEvent(attemptId,
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TaskAttemptEventType.TA_CONTAINER_COMPLETED));
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assertEquals("Task attempt is not in succeeded state", taImpl.getState(),
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TaskAttemptState.SUCCEEDED);
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assertTrue("Task Attempt finish time is not greater than 0",
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taImpl.getFinishTime() > 0);
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|
||||
Long finishTime = taImpl.getFinishTime();
|
||||
Thread.sleep(5);
|
||||
taImpl.handle(new TaskAttemptTooManyFetchFailureEvent(attemptId,
|
||||
reduceTAId, "Host"));
|
||||
|
||||
assertEquals("Task attempt is not in Too Many Fetch Failure state",
|
||||
taImpl.getState(), TaskAttemptState.FAILED);
|
||||
|
||||
assertEquals("After TA_TOO_MANY_FETCH_FAILURE,"
|
||||
+ " Task attempt finish time is not the same ",
|
||||
finishTime, Long.valueOf(taImpl.getFinishTime()));
|
||||
}
|
||||
|
||||
@Test
|
||||
|
|
|
|||
Loading…
Reference in New Issue