MAPREDUCE-3404. Corrected MR AM to honor speculative configuration and enable speculating either maps or reduces. Contributed by Eric Payne.
git-svn-id: https://svn.apache.org/repos/asf/hadoop/common/trunk@1231395 13f79535-47bb-0310-9956-ffa450edef68
This commit is contained in:
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90f096d86c
commit
b62c1b8563
@ -490,6 +490,9 @@ Release 0.23.1 - Unreleased
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MAPREDUCE-3532. Modified NM to report correct http address when an ephemeral
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MAPREDUCE-3532. Modified NM to report correct http address when an ephemeral
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web port is configured. (Bhallamudi Venkata Siva Kamesh via vinodkv)
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web port is configured. (Bhallamudi Venkata Siva Kamesh via vinodkv)
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MAPREDUCE-3404. Corrected MR AM to honor speculative configuration and enable
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speculating either maps or reduces. (Eric Payne via vinodkv)
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Release 0.23.0 - 2011-11-01
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Release 0.23.0 - 2011-11-01
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INCOMPATIBLE CHANGES
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INCOMPATIBLE CHANGES
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@ -881,9 +881,31 @@ public class MRAppMaster extends CompositeService {
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}
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}
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@Override
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@Override
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public void handle(SpeculatorEvent event) {
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public void handle(SpeculatorEvent event) {
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if (!disabled &&
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if (disabled) {
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(conf.getBoolean(MRJobConfig.MAP_SPECULATIVE, false)
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return;
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|| conf.getBoolean(MRJobConfig.REDUCE_SPECULATIVE, false))) {
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}
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TaskId tId = event.getTaskID();
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TaskType tType = null;
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/* event's TaskId will be null if the event type is JOB_CREATE or
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* ATTEMPT_STATUS_UPDATE
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*/
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if (tId != null) {
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tType = tId.getTaskType();
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}
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boolean shouldMapSpec =
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conf.getBoolean(MRJobConfig.MAP_SPECULATIVE, false);
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boolean shouldReduceSpec =
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conf.getBoolean(MRJobConfig.REDUCE_SPECULATIVE, false);
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/* The point of the following is to allow the MAP and REDUCE speculative
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* config values to be independent:
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* IF spec-exec is turned on for maps AND the task is a map task
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* OR IF spec-exec is turned on for reduces AND the task is a reduce task
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* THEN call the speculator to handle the event.
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*/
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if ( (shouldMapSpec && (tType == null || tType == TaskType.MAP))
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|| (shouldReduceSpec && (tType == null || tType == TaskType.REDUCE))) {
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// Speculator IS enabled, direct the event to there.
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// Speculator IS enabled, direct the event to there.
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speculator.handle(event);
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speculator.handle(event);
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}
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}
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@ -0,0 +1,309 @@
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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;
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import java.io.File;
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import java.io.IOException;
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import org.apache.commons.logging.Log;
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import org.apache.commons.logging.LogFactory;
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import org.apache.hadoop.conf.Configuration;
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import org.apache.hadoop.fs.FSDataOutputStream;
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import org.apache.hadoop.fs.FileSystem;
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import org.apache.hadoop.fs.Path;
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import org.apache.hadoop.fs.permission.FsPermission;
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import org.apache.hadoop.io.IntWritable;
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import org.apache.hadoop.io.Text;
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import org.apache.hadoop.mapreduce.Counters;
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import org.apache.hadoop.mapreduce.Job;
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import org.apache.hadoop.mapreduce.JobCounter;
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import org.apache.hadoop.mapreduce.JobStatus;
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import org.apache.hadoop.mapreduce.MRJobConfig;
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import org.apache.hadoop.mapreduce.Mapper;
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import org.apache.hadoop.mapreduce.Reducer;
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import org.apache.hadoop.mapreduce.TaskAttemptID;
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import org.apache.hadoop.mapreduce.TaskType;
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import org.apache.hadoop.mapreduce.lib.input.FileInputFormat;
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import org.apache.hadoop.mapreduce.lib.output.FileOutputFormat;
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import org.apache.hadoop.mapreduce.v2.api.records.TaskAttemptId;
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import org.apache.hadoop.mapreduce.v2.app.speculate.LegacyTaskRuntimeEstimator;
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import org.apache.hadoop.mapreduce.v2.app.speculate.TaskRuntimeEstimator;
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import org.junit.AfterClass;
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import org.junit.Assert;
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import org.junit.BeforeClass;
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import org.junit.Test;
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public class TestSpeculativeExecution {
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/*
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* This class is used to control when speculative execution happens.
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*/
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public static class TestSpecEstimator extends LegacyTaskRuntimeEstimator {
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private static final long SPECULATE_THIS = 999999L;
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public TestSpecEstimator() {
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super();
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}
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/*
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* This will only be called if speculative execution is turned on.
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*
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* If either mapper or reducer speculation is turned on, this will be
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* called.
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*
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* This will cause speculation to engage for the first mapper or first
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* reducer (that is, attempt ID "*_m_000000_0" or "*_r_000000_0")
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*
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* If this attempt is killed, the retry will have attempt id 1, so it
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* will not engage speculation again.
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*/
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@Override
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public long estimatedRuntime(TaskAttemptId id) {
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if ((id.getTaskId().getId() == 0) && (id.getId() == 0)) {
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return SPECULATE_THIS;
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}
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return super.estimatedRuntime(id);
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}
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}
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private static final Log LOG = LogFactory.getLog(TestSpeculativeExecution.class);
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protected static MiniMRYarnCluster mrCluster;
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private static Configuration initialConf = new Configuration();
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private static FileSystem localFs;
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static {
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try {
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localFs = FileSystem.getLocal(initialConf);
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} catch (IOException io) {
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throw new RuntimeException("problem getting local fs", io);
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}
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}
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private static Path TEST_ROOT_DIR =
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new Path("target",TestSpeculativeExecution.class.getName() + "-tmpDir")
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.makeQualified(localFs.getUri(), localFs.getWorkingDirectory());
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static Path APP_JAR = new Path(TEST_ROOT_DIR, "MRAppJar.jar");
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private static Path TEST_OUT_DIR = new Path(TEST_ROOT_DIR, "test.out.dir");
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@BeforeClass
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public static void setup() throws IOException {
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if (!(new File(MiniMRYarnCluster.APPJAR)).exists()) {
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LOG.info("MRAppJar " + MiniMRYarnCluster.APPJAR
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+ " not found. Not running test.");
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return;
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}
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if (mrCluster == null) {
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mrCluster = new MiniMRYarnCluster(TestSpeculativeExecution.class.getName(), 4);
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Configuration conf = new Configuration();
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mrCluster.init(conf);
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mrCluster.start();
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}
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// workaround the absent public distcache.
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localFs.copyFromLocalFile(new Path(MiniMRYarnCluster.APPJAR), APP_JAR);
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localFs.setPermission(APP_JAR, new FsPermission("700"));
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}
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@AfterClass
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public static void tearDown() {
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if (mrCluster != null) {
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mrCluster.stop();
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mrCluster = null;
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}
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}
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public static class SpeculativeMapper extends
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Mapper<Object, Text, Text, IntWritable> {
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public void map(Object key, Text value, Context context)
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throws IOException, InterruptedException {
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// Make one mapper slower for speculative execution
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TaskAttemptID taid = context.getTaskAttemptID();
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long sleepTime = 100;
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Configuration conf = context.getConfiguration();
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boolean test_speculate_map =
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conf.getBoolean(MRJobConfig.MAP_SPECULATIVE, false);
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// IF TESTING MAPPER SPECULATIVE EXECUTION:
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// Make the "*_m_000000_0" attempt take much longer than the others.
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// When speculative execution is enabled, this should cause the attempt
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// to be killed and restarted. At that point, the attempt ID will be
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// "*_m_000000_1", so sleepTime will still remain 100ms.
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if ( (taid.getTaskType() == TaskType.MAP) && test_speculate_map
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&& (taid.getTaskID().getId() == 0) && (taid.getId() == 0)) {
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sleepTime = 10000;
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}
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try{
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Thread.sleep(sleepTime);
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} catch(InterruptedException ie) {
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// Ignore
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}
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context.write(value, new IntWritable(1));
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}
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}
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public static class SpeculativeReducer extends
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Reducer<Text,IntWritable,Text,IntWritable> {
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public void reduce(Text key, Iterable<IntWritable> values,
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Context context) throws IOException, InterruptedException {
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// Make one reducer slower for speculative execution
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TaskAttemptID taid = context.getTaskAttemptID();
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long sleepTime = 100;
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Configuration conf = context.getConfiguration();
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boolean test_speculate_reduce =
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conf.getBoolean(MRJobConfig.REDUCE_SPECULATIVE, false);
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// IF TESTING REDUCE SPECULATIVE EXECUTION:
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// Make the "*_r_000000_0" attempt take much longer than the others.
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// When speculative execution is enabled, this should cause the attempt
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// to be killed and restarted. At that point, the attempt ID will be
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// "*_r_000000_1", so sleepTime will still remain 100ms.
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if ( (taid.getTaskType() == TaskType.REDUCE) && test_speculate_reduce
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&& (taid.getTaskID().getId() == 0) && (taid.getId() == 0)) {
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sleepTime = 10000;
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}
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try{
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Thread.sleep(sleepTime);
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} catch(InterruptedException ie) {
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// Ignore
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}
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context.write(key,new IntWritable(0));
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}
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}
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@Test
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public void testSpeculativeExecution() throws Exception {
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if (!(new File(MiniMRYarnCluster.APPJAR)).exists()) {
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LOG.info("MRAppJar " + MiniMRYarnCluster.APPJAR
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+ " not found. Not running test.");
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return;
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}
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/*------------------------------------------------------------------
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* Test that Map/Red does not speculate if MAP_SPECULATIVE and
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* REDUCE_SPECULATIVE are both false.
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* -----------------------------------------------------------------
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*/
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Job job = runSpecTest(false, false);
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boolean succeeded = job.waitForCompletion(true);
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Assert.assertTrue(succeeded);
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Assert.assertEquals(JobStatus.State.SUCCEEDED, job.getJobState());
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Counters counters = job.getCounters();
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Assert.assertEquals(2, counters.findCounter(JobCounter.TOTAL_LAUNCHED_MAPS)
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.getValue());
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Assert.assertEquals(2, counters.findCounter(JobCounter.TOTAL_LAUNCHED_REDUCES)
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.getValue());
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Assert.assertEquals(0, counters.findCounter(JobCounter.NUM_FAILED_MAPS)
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.getValue());
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/*----------------------------------------------------------------------
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* Test that Mapper speculates if MAP_SPECULATIVE is true and
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* REDUCE_SPECULATIVE is false.
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* ---------------------------------------------------------------------
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*/
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job = runSpecTest(true, false);
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succeeded = job.waitForCompletion(true);
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Assert.assertTrue(succeeded);
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Assert.assertEquals(JobStatus.State.SUCCEEDED, job.getJobState());
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counters = job.getCounters();
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// The long-running map will be killed and a new one started.
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Assert.assertEquals(3, counters.findCounter(JobCounter.TOTAL_LAUNCHED_MAPS)
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.getValue());
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Assert.assertEquals(2, counters.findCounter(JobCounter.TOTAL_LAUNCHED_REDUCES)
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.getValue());
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Assert.assertEquals(1, counters.findCounter(JobCounter.NUM_FAILED_MAPS)
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.getValue());
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/*----------------------------------------------------------------------
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* Test that Reducer speculates if REDUCE_SPECULATIVE is true and
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* MAP_SPECULATIVE is false.
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* ---------------------------------------------------------------------
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*/
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job = runSpecTest(false, true);
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succeeded = job.waitForCompletion(true);
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Assert.assertTrue(succeeded);
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Assert.assertEquals(JobStatus.State.SUCCEEDED, job.getJobState());
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counters = job.getCounters();
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// The long-running map will be killed and a new one started.
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Assert.assertEquals(2, counters.findCounter(JobCounter.TOTAL_LAUNCHED_MAPS)
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.getValue());
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Assert.assertEquals(3, counters.findCounter(JobCounter.TOTAL_LAUNCHED_REDUCES)
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.getValue());
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}
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private Path createTempFile(String filename, String contents)
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throws IOException {
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Path path = new Path(TEST_ROOT_DIR, filename);
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FSDataOutputStream os = localFs.create(path);
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os.writeBytes(contents);
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os.close();
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localFs.setPermission(path, new FsPermission("700"));
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return path;
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}
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private Job runSpecTest(boolean mapspec, boolean redspec)
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throws IOException, ClassNotFoundException, InterruptedException {
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Path first = createTempFile("specexec_map_input1", "a\nz");
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Path secnd = createTempFile("specexec_map_input2", "a\nz");
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Configuration conf = mrCluster.getConfig();
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conf.setBoolean(MRJobConfig.MAP_SPECULATIVE,mapspec);
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conf.setBoolean(MRJobConfig.REDUCE_SPECULATIVE,redspec);
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conf.setClass(MRJobConfig.MR_AM_TASK_ESTIMATOR,
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TestSpecEstimator.class,
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TaskRuntimeEstimator.class);
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Job job = Job.getInstance(conf);
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job.setJarByClass(TestSpeculativeExecution.class);
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job.setMapperClass(SpeculativeMapper.class);
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job.setReducerClass(SpeculativeReducer.class);
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job.setOutputKeyClass(Text.class);
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job.setOutputValueClass(IntWritable.class);
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job.setNumReduceTasks(2);
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FileInputFormat.setInputPaths(job, first);
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FileInputFormat.addInputPath(job, secnd);
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FileOutputFormat.setOutputPath(job, TEST_OUT_DIR);
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// Delete output directory if it exists.
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try {
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localFs.delete(TEST_OUT_DIR,true);
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} catch (IOException e) {
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// ignore
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}
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// Creates the Job Configuration
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job.addFileToClassPath(APP_JAR); // The AppMaster jar itself.
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job.createSymlink();
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job.setMaxMapAttempts(2);
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job.submit();
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return job;
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}
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}
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