/**
* 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;
import org.junit.Ignore;
import java.io.IOException;
import java.io.DataInput;
import java.io.DataOutput;
import java.util.ArrayList;
import java.util.List;
import org.apache.hadoop.conf.Configuration;
import org.apache.hadoop.conf.Configured;
import org.apache.hadoop.fs.Path;
import org.apache.hadoop.io.IntWritable;
import org.apache.hadoop.io.NullWritable;
import org.apache.hadoop.io.Writable;
import org.apache.hadoop.mapreduce.lib.output.NullOutputFormat;
import org.apache.hadoop.mapreduce.lib.input.FileInputFormat;
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.
*/
@Ignore
public class TestSleepJob extends Configured implements Tool {
public static String MAP_SLEEP_COUNT = "mapreduce.sleepjob.map.sleep.count";
public static String REDUCE_SLEEP_COUNT =
"mapreduce.sleepjob.reduce.sleep.count";
public static String MAP_SLEEP_TIME = "mapreduce.sleepjob.map.sleep.time";
public static String REDUCE_SLEEP_TIME =
"mapreduce.sleepjob.reduce.sleep.time";
public static class TestSleepJobPartitioner extends
Partitioner<IntWritable, NullWritable> {
public int getPartition(IntWritable k, NullWritable v, int numPartitions) {
return k.get() % numPartitions;
}
}
public static class EmptySplit extends InputSplit implements Writable {
public void write(DataOutput out) throws IOException { }
public void readFields(DataInput in) throws IOException { }
public long getLength() { return 0L; }
public String[] getLocations() { return new String[0]; }
}
public static class SleepInputFormat
extends InputFormat<IntWritable,IntWritable> {
public List<InputSplit> getSplits(JobContext jobContext) {
List<InputSplit> ret = new ArrayList<InputSplit>();
int numSplits = jobContext.getConfiguration().
getInt("mapred.map.tasks", 1);
for (int i = 0; i < numSplits; ++i) {
ret.add(new EmptySplit());
}
return ret;
}
public RecordReader<IntWritable,IntWritable> createRecordReader(
InputSplit ignored, TaskAttemptContext taskContext)
throws IOException {
Configuration conf = taskContext.getConfiguration();
final int count = conf.getInt(MAP_SLEEP_COUNT, 1);
if (count < 0) throw new IOException("Invalid map count: " + count);
final int redcount = conf.getInt(REDUCE_SLEEP_COUNT, 1);
if (redcount < 0)
throw new IOException("Invalid reduce count: " + redcount);
final int emitPerMapTask = (redcount * taskContext.getNumReduceTasks());
return new RecordReader<IntWritable,IntWritable>() {
private int records = 0;
private int emitCount = 0;
private IntWritable key = null;
private IntWritable value = null;
public void initialize(InputSplit split, TaskAttemptContext context) {
}
public boolean nextKeyValue()
throws IOException {
if (count == 0) {
return false;
}
key = new IntWritable();
key.set(emitCount);
int emit = emitPerMapTask / count;
if ((emitPerMapTask) % count > records) {
++emit;
}
emitCount += emit;
value = new IntWritable();
value.set(emit);
return records++ < count;
}
public IntWritable getCurrentKey() { return key; }
public IntWritable getCurrentValue() { return value; }
public void close() throws IOException { }
public float getProgress() throws IOException {
return count == 0 ? 100 : records / ((float)count);
}
};
}
}
public static class SleepMapper
extends Mapper<IntWritable, IntWritable, IntWritable, NullWritable> {
private long mapSleepDuration = 100;
private int mapSleepCount = 1;
private int count = 0;
protected void setup(Context context)
throws IOException, InterruptedException {
Configuration conf = context.getConfiguration();
this.mapSleepCount =
conf.getInt(MAP_SLEEP_COUNT, mapSleepCount);
this.mapSleepDuration = mapSleepCount == 0 ? 0 :
conf.getLong(MAP_SLEEP_TIME , 100) / mapSleepCount;
}
public void map(IntWritable key, IntWritable value, Context context
) throws IOException, InterruptedException {
//it is expected that every map processes mapSleepCount number of records.
try {
context.setStatus("Sleeping... (" +
(mapSleepDuration * (mapSleepCount - count)) + ") ms left");
Thread.sleep(mapSleepDuration);
}
catch (InterruptedException ex) {
throw (IOException)new IOException(
"Interrupted while sleeping").initCause(ex);
}
++count;
// output reduceSleepCount * numReduce number of random values, so that
// each reducer will get reduceSleepCount number of keys.
int k = key.get();
for (int i = 0; i < value.get(); ++i) {
context.write(new IntWritable(k + i), NullWritable.get());
}
}
}
public static class SleepReducer
extends Reducer<IntWritable, NullWritable, NullWritable, NullWritable> {
private long reduceSleepDuration = 100;
private int reduceSleepCount = 1;
private int count = 0;
protected void setup(Context context)
throws IOException, InterruptedException {
Configuration conf = context.getConfiguration();
this.reduceSleepCount =
conf.getInt(REDUCE_SLEEP_COUNT, reduceSleepCount);
this.reduceSleepDuration = reduceSleepCount == 0 ? 0 :
conf.getLong(REDUCE_SLEEP_TIME , 100) / reduceSleepCount;
}
public void reduce(IntWritable key, Iterable<NullWritable> values,
Context context)
throws IOException {
try {
context.setStatus("Sleeping... (" +
(reduceSleepDuration * (reduceSleepCount - count)) + ") ms left");
Thread.sleep(reduceSleepDuration);
}
catch (InterruptedException ex) {
throw (IOException)new IOException(
"Interrupted while sleeping").initCause(ex);
}
count++;
}
}
public static void main(String[] args) throws Exception {
int res = ToolRunner.run(new Configuration(), new TestSleepJob(), args);
System.exit(res);
}
public Job createJob(int numMapper, int numReducer,
long mapSleepTime, int mapSleepCount,
long reduceSleepTime, int reduceSleepCount)
throws IOException {
Configuration conf = getConf();
conf.setLong(MAP_SLEEP_TIME, mapSleepTime);
conf.setLong(REDUCE_SLEEP_TIME, reduceSleepTime);
conf.setInt(MAP_SLEEP_COUNT, mapSleepCount);
conf.setInt(REDUCE_SLEEP_COUNT, reduceSleepCount);
conf.setInt("mapred.map.tasks", numMapper);
conf.setBoolean("mapred.map.tasks.speculative.execution", false);
conf.setBoolean("mapred.reduce.tasks.speculative.execution", false);
Job job = new Job(conf, "sleep");
job.setNumReduceTasks(numReducer);
job.setJarByClass(TestSleepJob.class);
job.setNumReduceTasks(numReducer);
job.setMapperClass(SleepMapper.class);
job.setMapOutputKeyClass(IntWritable.class);
job.setMapOutputValueClass(NullWritable.class);
job.setReducerClass(SleepReducer.class);
job.setOutputFormatClass(NullOutputFormat.class);
job.setInputFormatClass(SleepInputFormat.class);
job.setPartitionerClass(TestSleepJobPartitioner.class);
job.setJobName("Sleep job");
FileInputFormat.addInputPath(job, new Path("ignored"));
return job;
}
public int run(String[] args) throws Exception {
if(args.length < 1) {
System.err.println("TestSleepJob [-m numMapper] [-r numReducer]" +
" [-mt mapSleepTime (msec)] [-rt reduceSleepTime (msec)]" +
" [-recordt recordSleepTime (msec)]");
ToolRunner.printGenericCommandUsage(System.err);
return 2;
}
int numMapper = 1, numReducer = 1;
long mapSleepTime = 100, reduceSleepTime = 100, recSleepTime = 100;
int 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]);
}
else if (args[i].equals("-recordt")) {
recSleepTime = Long.parseLong(args[++i]);
}
}
// sleep for *SleepTime duration in Task by recSleepTime per record
mapSleepCount = (int)Math.ceil(mapSleepTime / ((double)recSleepTime));
reduceSleepCount = (int)Math.ceil(reduceSleepTime / ((double)recSleepTime));
Job job = createJob(numMapper, numReducer, mapSleepTime,
mapSleepCount, reduceSleepTime, reduceSleepCount);
return job.waitForCompletion(true) ? 0 : 1;
}
}