MAPREDUCE-5931. Validate SleepJob command line parameters. Contributed by Gera Shegalov
This commit is contained in:
Jason Lowe
parent
b1dce2aa21
commit
15366d9227
@ -264,6 +264,9 @@ Release 2.6.0 - UNRELEASED
|
||||
|
||||
MAPREDUCE-6051. Fix typos in log messages. (Ray Chiang via cdouglas)
|
||||
|
||||
MAPREDUCE-5931. Validate SleepJob command line parameters (Gera Shegalov
|
||||
via jlowe)
|
||||
|
||||
Release 2.5.1 - UNRELEASED
|
||||
|
||||
INCOMPATIBLE CHANGES
|
||||
|
||||
@ -1,275 +0,0 @@
|
||||
/**
|
||||
* 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;
|
||||
|
||||
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.InputFormat;
|
||||
import org.apache.hadoop.mapreduce.InputSplit;
|
||||
import org.apache.hadoop.mapreduce.Job;
|
||||
import org.apache.hadoop.mapreduce.JobContext;
|
||||
import org.apache.hadoop.mapreduce.MRJobConfig;
|
||||
import org.apache.hadoop.mapreduce.Mapper;
|
||||
import org.apache.hadoop.mapreduce.Partitioner;
|
||||
import org.apache.hadoop.mapreduce.RecordReader;
|
||||
import org.apache.hadoop.mapreduce.Reducer;
|
||||
import org.apache.hadoop.mapreduce.TaskAttemptContext;
|
||||
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.
|
||||
*/
|
||||
public class SleepJob 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 SleepJobPartitioner 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(MRJobConfig.NUM_MAPS, 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 SleepJob(), 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(MRJobConfig.NUM_MAPS, numMapper);
|
||||
Job job = Job.getInstance(conf, "sleep");
|
||||
job.setNumReduceTasks(numReducer);
|
||||
job.setJarByClass(SleepJob.class);
|
||||
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(SleepJobPartitioner.class);
|
||||
job.setSpeculativeExecution(false);
|
||||
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("SleepJob [-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;
|
||||
}
|
||||
|
||||
}
|
||||
@ -224,11 +224,7 @@ public Job createJob(int numMapper, int numReducer,
|
||||
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)]" +
|
||||
" [-recordt recordSleepTime (msec)]");
|
||||
ToolRunner.printGenericCommandUsage(System.err);
|
||||
return 2;
|
||||
return printUsage("number of arguments must be > 0");
|
||||
}
|
||||
|
||||
int numMapper = 1, numReducer = 1;
|
||||
@ -238,18 +234,34 @@ public int run(String[] args) throws Exception {
|
||||
for(int i=0; i < args.length; i++ ) {
|
||||
if(args[i].equals("-m")) {
|
||||
numMapper = Integer.parseInt(args[++i]);
|
||||
if (numMapper < 0) {
|
||||
return printUsage(numMapper + ": numMapper must be >= 0");
|
||||
}
|
||||
}
|
||||
else if(args[i].equals("-r")) {
|
||||
numReducer = Integer.parseInt(args[++i]);
|
||||
if (numReducer < 0) {
|
||||
return printUsage(numReducer + ": numReducer must be >= 0");
|
||||
}
|
||||
}
|
||||
else if(args[i].equals("-mt")) {
|
||||
mapSleepTime = Long.parseLong(args[++i]);
|
||||
if (mapSleepTime < 0) {
|
||||
return printUsage(mapSleepTime + ": mapSleepTime must be >= 0");
|
||||
}
|
||||
}
|
||||
else if(args[i].equals("-rt")) {
|
||||
reduceSleepTime = Long.parseLong(args[++i]);
|
||||
if (reduceSleepTime < 0) {
|
||||
return printUsage(
|
||||
reduceSleepTime + ": reduceSleepTime must be >= 0");
|
||||
}
|
||||
}
|
||||
else if (args[i].equals("-recordt")) {
|
||||
recSleepTime = Long.parseLong(args[++i]);
|
||||
if (recSleepTime < 0) {
|
||||
return printUsage(recSleepTime + ": recordSleepTime must be >= 0");
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
@ -261,4 +273,14 @@ else if (args[i].equals("-recordt")) {
|
||||
return job.waitForCompletion(true) ? 0 : 1;
|
||||
}
|
||||
|
||||
private int printUsage(String error) {
|
||||
if (error != null) {
|
||||
System.err.println("ERROR: " + error);
|
||||
}
|
||||
System.err.println("SleepJob [-m numMapper] [-r numReducer]" +
|
||||
" [-mt mapSleepTime (msec)] [-rt reduceSleepTime (msec)]" +
|
||||
" [-recordt recordSleepTime (msec)]");
|
||||
ToolRunner.printGenericCommandUsage(System.err);
|
||||
return 2;
|
||||
}
|
||||
}
|
||||
|
||||
@ -25,7 +25,7 @@
|
||||
|
||||
import org.apache.commons.logging.Log;
|
||||
import org.apache.commons.logging.LogFactory;
|
||||
import org.apache.hadoop.SleepJob;
|
||||
import org.apache.hadoop.mapreduce.SleepJob;
|
||||
import org.apache.hadoop.conf.Configuration;
|
||||
import org.apache.hadoop.fs.FileSystem;
|
||||
import org.apache.hadoop.fs.Path;
|
||||
|
||||
@ -40,8 +40,8 @@
|
||||
import org.apache.hadoop.FailingMapper;
|
||||
import org.apache.hadoop.RandomTextWriterJob;
|
||||
import org.apache.hadoop.RandomTextWriterJob.RandomInputFormat;
|
||||
import org.apache.hadoop.SleepJob;
|
||||
import org.apache.hadoop.SleepJob.SleepMapper;
|
||||
import org.apache.hadoop.mapreduce.SleepJob;
|
||||
import org.apache.hadoop.mapreduce.SleepJob.SleepMapper;
|
||||
import org.apache.hadoop.conf.Configuration;
|
||||
import org.apache.hadoop.fs.CommonConfigurationKeysPublic;
|
||||
import org.apache.hadoop.fs.FSDataOutputStream;
|
||||
|
||||
@ -28,7 +28,7 @@
|
||||
import org.apache.avro.AvroRemoteException;
|
||||
import org.apache.commons.logging.Log;
|
||||
import org.apache.commons.logging.LogFactory;
|
||||
import org.apache.hadoop.SleepJob;
|
||||
import org.apache.hadoop.mapreduce.SleepJob;
|
||||
import org.apache.hadoop.conf.Configuration;
|
||||
import org.apache.hadoop.fs.FileSystem;
|
||||
import org.apache.hadoop.fs.Path;
|
||||
|
||||
@ -29,7 +29,7 @@
|
||||
|
||||
import org.apache.commons.logging.Log;
|
||||
import org.apache.commons.logging.LogFactory;
|
||||
import org.apache.hadoop.SleepJob;
|
||||
import org.apache.hadoop.mapreduce.SleepJob;
|
||||
import org.apache.hadoop.conf.Configuration;
|
||||
import org.apache.hadoop.fs.*;
|
||||
import org.apache.hadoop.fs.permission.FsPermission;
|
||||
|
||||
Loading…
Reference in New Issue
Block a user