There are so many version of WordCount hadoop example flowing around the web. However, a lot of them are using the older version of hadoop api. Following are example of word count using the newest hadoop map reduce api. The new map reduce api reside in org.apache.hadoop.mapreduce package instead of org.apache.hadoop.mapred.
WordMapper.java
import java.io.IOException;
import java.util.StringTokenizer;
import org.apache.hadoop.io.IntWritable;
import org.apache.hadoop.io.Text;
import org.apache.hadoop.mapreduce.Mapper;
public class WordMapper extends Mapper<Object, Text, Text, IntWritable> {
private Text word = new Text();
private final static IntWritable one = new IntWritable(1);
@Override
public void map(Object key, Text value,
Context contex) throws IOException, InterruptedException {
// Break line into words for processing
StringTokenizer wordList = new StringTokenizer(value.toString());
while (wordList.hasMoreTokens()) {
word.set(wordList.nextToken());
contex.write(word, one);
}
}
}
SumReducer.java
import java.io.IOException;
import java.util.Iterator;
import org.apache.hadoop.io.IntWritable;
import org.apache.hadoop.io.Text;
import org.apache.hadoop.mapreduce.Reducer;
public class SumReducer extends Reducer<Text, IntWritable, Text, IntWritable> {
private IntWritable totalWordCount = new IntWritable();
@Override
public void reduce(Text key, Iterable<IntWritable> values, Context context)
throws IOException, InterruptedException {
int wordCount = 0;
Iterator<IntWritable> it=values.iterator();
while (it.hasNext()) {
wordCount += it.next().get();
}
totalWordCount.set(wordCount);
context.write(key, totalWordCount);
}
}
WordCount.java (Driver)
import org.apache.hadoop.conf.Configuration;
import org.apache.hadoop.fs.Path;
import org.apache.hadoop.io.IntWritable;
import org.apache.hadoop.io.Text;
import org.apache.hadoop.mapreduce.Job;
import org.apache.hadoop.mapreduce.lib.input.FileInputFormat;
import org.apache.hadoop.mapreduce.lib.input.TextInputFormat;
import org.apache.hadoop.mapreduce.lib.output.FileOutputFormat;
import org.apache.hadoop.mapreduce.lib.output.TextOutputFormat;
public class WordCount {
public static void main(String[] args) throws Exception {
if (args.length != 2) {
System.out.println("usage: [input] [output]");
System.exit(-1);
}
Job job = Job.getInstance(new Configuration());
job.setOutputKeyClass(Text.class);
job.setOutputValueClass(IntWritable.class);
job.setMapperClass(WordMapper.class);
job.setReducerClass(SumReducer.class);
job.setInputFormatClass(TextInputFormat.class);
job.setOutputFormatClass(TextOutputFormat.class);
FileInputFormat.setInputPaths(job, new Path(args[0]));
FileOutputFormat.setOutputPath(job, new Path(args[1]));
job.setJarByClass(WordCount.class);
job.submit();
}
}
please add the build and packaging process to make it easy to use, especially for newbies. thx
ReplyDeleteYes Please
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when I run this I just ger usage : [input] [output[
ReplyDeleteHow do I give a input file to this pogram
hadoop jar wordcount.jar inputpathhere outputpathhere
ReplyDeletefor hadoop 2.2.
ReplyDeletebin/hadoop jar share/hadoop/mapreduce/hadoop-mapreduce-examples-2.2.0.jar wordcount /map2 /map2output
Like Urvir, I had to put the full path to examples jar.
ReplyDeleteNow that we've come this far, are there any suggestions for running apps in eclipse (with or with out the plugin, I've struggled to get the plugin working with no luck, even rebuilt with newer jars)? I'm on eclipse 4.2 and hadoop 2.2
Would you please write some steps for creating a Jar and Running with Hadoop? It will help me a lot. I count not find any sample code with Hadoop-2.4 version from Web.
ReplyDeleteYes, pls.. step by step for creating jar???
ReplyDelete$ javac -classpath /librarypath/X.jar:/librarypath/X.jar -d /desiredpath/ /javafilepath/X.java
Delete$ $JAVA_HOME/bin/jar -cvf /desiredpath/Y.jar -C /desiredpath/ .
Thank you so much for publishing an updated version using the new API. I've been struggling for a day and a half getting my code to work. I could not figure out why the reducer was not being called. It is because the method signature of reduce() now takes an Iterable instead of an Iterator! This subtle change meant that my reduce class was not actually overriding the base implementation in Reducer. Thanks again!
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15/03/09 20:09:17 INFO client.RMProxy: Connecting to ResourceManager at /0.0.0.0:8032
ReplyDelete15/03/09 20:09:17 INFO mapreduce.JobSubmitter: Cleaning up the staging area /tmp/hadoop-yarn/staging/hduser/.staging/job_1425911430560_0002
15/03/09 20:09:17 ERROR security.UserGroupInformation: PriviledgedActionException as:hduser (auth:SIMPLE) cause:org.apache.hadoop.mapreduce.lib.input.InvalidInputException: Input path does not exist: hdfs://localhost:9000/map2
org.apache.hadoop.mapreduce.lib.input.InvalidInputException: Input path does not exist: hdfs://localhost:9000/map2
at org.apache.hadoop.mapreduce.lib.input.FileInputFormat.listStatus(FileInputFormat.java:285)
at org.apache.hadoop.mapreduce.lib.input.FileInputFormat.getSplits(FileInputFormat.java:340)
at org.apache.hadoop.mapreduce.JobSubmitter.writeNewSplits(JobSubmitter.java:491)
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at org.apache.hadoop.mapreduce.JobSubmitter.submitJobInternal(JobSubmitter.java:392)
at org.apache.hadoop.mapreduce.Job$10.run(Job.java:1268)
at org.apache.hadoop.mapreduce.Job$10.run(Job.java:1265)
at java.security.AccessController.doPrivileged(Native Method)
at javax.security.auth.Subject.doAs(Subject.java:415)
at org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1491)
at org.apache.hadoop.mapreduce.Job.submit(Job.java:1265)
at org.apache.hadoop.mapreduce.Job.waitForCompletion(Job.java:1286)
at org.apache.hadoop.examples.WordCount.main(WordCount.java:84)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:606)
at org.apache.hadoop.util.ProgramDriver$ProgramDescription.invoke(ProgramDriver.java:72)
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at org.apache.hadoop.examples.ExampleDriver.main(ExampleDriver.java:74)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
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at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:606)
at org.apache.hadoop.util.RunJar.main(RunJar.java:212)
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