HADOOP-1880. SleepJob : An example job that sleeps at each map and reduce task.

git-svn-id: https://svn.apache.org/repos/asf/lucene/hadoop/trunk@575188 13f79535-47bb-0310-9956-ffa450edef68

CHANGES.txt

@@ -53,6 +53,9 @@ Trunk (unreleased changes)
     HADOOP-1351.  Add "bin/hadoop job [-fail-task|-kill-task]" sub-commands
     to terminate a particular task-attempt. (Enis Soztutar via acmurthy)
 
+    HADOOP-1880. SleepJob : An example job that sleeps at each map and 
+    reduce task. (enis)
+
   OPTIMIZATIONS
 
     HADOOP-1565.  Reduce memory usage of NameNode by replacing 

src/examples/org/apache/hadoop/examples/ExampleDriver.java

@@ -17,8 +17,9 @@
  */
 
 package org.apache.hadoop.examples;
+import org.apache.hadoop.examples.dancing.DistributedPentomino;
+import org.apache.hadoop.examples.dancing.Sudoku;
 import org.apache.hadoop.util.ProgramDriver;
-import org.apache.hadoop.examples.dancing.*;
 
 /**
  * A description of an example program based on its class and a 
@@ -42,6 +43,7 @@ public class ExampleDriver {
       pgd.addClass("pentomino", DistributedPentomino.class,
       "A map/reduce tile laying program to find solutions to pentomino problems.");
       pgd.addClass("sudoku", Sudoku.class, "A sudoku solver.");
+      pgd.addClass("sleep", SleepJob.class, "A job that sleeps at each map and reduce task.");
       pgd.driver(argv);
     }
     catch(Throwable e){

src/examples/org/apache/hadoop/examples/SleepJob.java

@@ -0,0 +1,198 @@
+/**
+ * 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.examples;
+
+import java.io.IOException;
+import java.util.Iterator;
+import java.util.Random;
+
+import org.apache.hadoop.conf.Configuration;
+import org.apache.hadoop.conf.Configured;
+import org.apache.hadoop.fs.FileSystem;
+import org.apache.hadoop.fs.Path;
+import org.apache.hadoop.io.IntWritable;
+import org.apache.hadoop.io.SequenceFile;
+import org.apache.hadoop.mapred.JobClient;
+import org.apache.hadoop.mapred.JobConf;
+import org.apache.hadoop.mapred.Mapper;
+import org.apache.hadoop.mapred.OutputCollector;
+import org.apache.hadoop.mapred.Partitioner;
+import org.apache.hadoop.mapred.Reducer;
+import org.apache.hadoop.mapred.Reporter;
+import org.apache.hadoop.mapred.SequenceFileInputFormat;
+import org.apache.hadoop.mapred.lib.NullOutputFormat;
+import org.apache.hadoop.util.Tool;
+import org.apache.hadoop.util.ToolRunner;
+
+/**
+ * Dummy class for testing MR framefork. Sleeps for a defined period 
+ * of time in mapper and reducer. Generates fake input for map / reduce 
+ * jobs. Note that generated number of input pairs is in the order 
+ * of <code>numMappers * mapSleepTime / 100</code>, so the job uses
+ * some disk space.
+ */
+public class SleepJob extends Configured implements Tool,  
+             Mapper<IntWritable, IntWritable, IntWritable, IntWritable>, 
+             Reducer<IntWritable, IntWritable, IntWritable, IntWritable>, 
+             Partitioner<IntWritable, IntWritable>{
+
+  private long mapSleepTime = 100;
+  private long reduceSleepTime = 100;
+  private long mapSleepCount = 1;
+  private long reduceSleepCount = 1;
+  private int  numReduce;
+  
+  private boolean firstRecord = true;
+  private long count = 0;
+  
+  public int getPartition(IntWritable key, IntWritable value, int numPartitions) {
+    return key.get() % numPartitions;
+  }
+  
+  public void map(IntWritable key, IntWritable value,
+      OutputCollector<IntWritable, IntWritable> output, Reporter reporter) throws IOException {
+
+    //it is expected that every map processes mapSleepCount number of records. 
+    try {
+      long left = mapSleepCount - count ;
+      if(left < 0) left = 0;
+      reporter.setStatus("Sleeping... (" + ( mapSleepTime / mapSleepCount * left) + ") ms left");
+      Thread.sleep(mapSleepTime / mapSleepCount);
+    }
+    catch (InterruptedException ex) {
+    }
+    count++;
+    if(firstRecord) {
+      
+      //output reduceSleepCount * numReduce number of random values, so that each reducer will get 
+      //reduceSleepCount number of keys. 
+      for(int i=0; i < reduceSleepCount * numReduce; i++) {
+        output.collect(new IntWritable(i), value);
+      }
+    }
+    firstRecord = false;
+  }
+
+  public void reduce(IntWritable key, Iterator<IntWritable> values,
+      OutputCollector<IntWritable, IntWritable> output, Reporter reporter) throws IOException {
+
+    try {
+      long left = reduceSleepCount - count ;
+      if(left < 0) left = 0;
+      
+      reporter.setStatus("Sleeping... (" 
+            +( reduceSleepTime / reduceSleepCount * left) + ") ms left");
+        Thread.sleep(reduceSleepTime / reduceSleepCount);
+      
+    }
+    catch (InterruptedException ex) {
+    }
+    firstRecord = false;
+    count++;
+  }
+
+  public void configure(JobConf job) {
+    this.mapSleepTime = job.getLong("sleep.job.map.sleep.time" , mapSleepTime);
+    this.reduceSleepTime = job.getLong("sleep.job.reduce.sleep.time" , reduceSleepTime);
+    this.mapSleepCount = job.getLong("sleep.job.map.sleep.count", mapSleepCount);
+    this.reduceSleepCount = job.getLong("sleep.job.reduce.sleep.count", reduceSleepCount);
+    numReduce = job.getNumReduceTasks();
+  }
+
+  public void close() throws IOException {
+  }
+
+  public static void main(String[] args) throws Exception{
+    int res = ToolRunner.run(new Configuration(), new SleepJob(), args);
+    System.exit(res);
+  }
+
+  public int run(int numMapper, int numReducer, long mapSleepTime
+      , long mapSleepCount, long reduceSleepTime
+      , long reduceSleepCount) throws Exception {
+    Random random = new Random();
+    FileSystem fs = FileSystem.get(getConf());
+    Path tempPath = new Path("/tmp/sleep.job.data");
+    SequenceFile.Writer writer = SequenceFile.createWriter(fs, getConf()
+        , tempPath, IntWritable.class, IntWritable.class);
+    for(int i=0; i<numMapper * mapSleepCount ;i++) {
+      writer.append(new IntWritable(random.nextInt()), new IntWritable(random.nextInt()));
+    }
+    writer.close();
+    try {
+      JobConf job = new JobConf(getConf(), SleepJob.class);
+      job.setNumMapTasks(numMapper);
+      job.setNumReduceTasks(numReducer);
+      job.setMapperClass(SleepJob.class);
+      job.setMapOutputKeyClass(IntWritable.class);
+      job.setMapOutputValueClass(IntWritable.class);
+      job.setReducerClass(SleepJob.class);
+      job.setOutputFormat(NullOutputFormat.class);
+      job.setInputFormat(SequenceFileInputFormat.class);
+      job.setSpeculativeExecution(false);
+      job.setJobName("Sleep job");
+      job.addInputPath(tempPath);
+      job.setLong("sleep.job.map.sleep.time", mapSleepTime);
+      job.setLong("sleep.job.reduce.sleep.time", reduceSleepTime);
+      job.setLong("sleep.job.map.sleep.count", mapSleepCount);
+      job.setLong("sleep.job.reduce.sleep.count", reduceSleepCount);
+
+      JobClient.runJob(job);
+    } 
+    finally {
+      fs.delete(tempPath);
+    }
+    return 0;
+  }
+
+  public int run(String[] args) throws Exception {
+
+    if(args.length < 1) {
+      System.err.println("SleepJob [-m numMapper] [-r numReducer]" +
+          " [-mt mapSleepTime (msec)] [-rt reduceSleepTime (msec)] ");
+      ToolRunner.printGenericCommandUsage(System.err);
+      return -1;
+    }
+
+    int numMapper = 1, numReducer = 1;
+    long mapSleepTime = 100, reduceSleepTime = 100;
+    long mapSleepCount = 1, reduceSleepCount = 1;
+
+    for(int i=0; i < args.length; i++ ) {
+      if(args[i].equals("-m")) {
+        numMapper = Integer.parseInt(args[++i]);
+      }
+      else if(args[i].equals("-r")) {
+        numReducer = Integer.parseInt(args[++i]);
+      }
+      else if(args[i].equals("-mt")) {
+        mapSleepTime = Long.parseLong(args[++i]);
+      }
+      else if(args[i].equals("-rt")) {
+        reduceSleepTime = Long.parseLong(args[++i]);
+      }
+    }
+    
+    mapSleepCount = (long)Math.ceil(mapSleepTime / 100.0d);
+    reduceSleepCount = (long)Math.ceil(reduceSleepTime / 100.0d);
+    
+    return run(numMapper, numReducer, mapSleepTime, mapSleepCount
+        , reduceSleepTime, reduceSleepCount);
+  }
+
+}