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Word Count Hadoop example
<?xml version="1.0" encoding="UTF-8"?>
<project xmlns="http://maven.apache.org/POM/4.0.0"
xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/xsd/maven-4.0.0.xsd">
<modelVersion>4.0.0</modelVersion>
<groupId>manu.sandbox</groupId>
<artifactId>hadoop-sandbox</artifactId>
<version>1.0-SNAPSHOT</version>
<properties>
<project.build.sourceEncoding>UTF-8</project.build.sourceEncoding>
<hadoop.version>2.7.1.2.4.0.0-169</hadoop.version>
<hbase.version>1.1.2.2.4.0.0-169</hbase.version>
</properties>
<repositories>
<repository>
<id>HDPReleases</id>
<name>HDP Releases</name>
<url>http://repo.hortonworks.com/content/repositories/releases/</url>
</repository>
</repositories>
<dependencies>
<dependency>
<groupId>manu.sandbox</groupId>
<artifactId>java-sandbox</artifactId>
<version>1.0-SNAPSHOT</version>
</dependency>
<dependency>
<groupId>org.apache.hadoop</groupId>
<artifactId>hadoop-common</artifactId>
<version>${hadoop.version}</version>
</dependency>
<dependency>
<groupId>org.apache.hadoop</groupId>
<artifactId>hadoop-mapreduce-client-core</artifactId>
<version>${hadoop.version}</version>
</dependency>
<dependency>
<groupId>org.apache.hadoop</groupId>
<artifactId>hadoop-common</artifactId>
<version>${hadoop.version}</version>
<type>test-jar</type>
<scope>test</scope>
</dependency>
<dependency>
<groupId>org.apache.hadoop</groupId>
<artifactId>hadoop-hdfs</artifactId>
<version>${hadoop.version}</version>
<type>test-jar</type>
<scope>test</scope>
</dependency>
<dependency>
<groupId>org.apache.hadoop</groupId>
<artifactId>hadoop-hdfs</artifactId>
<version>${hadoop.version}</version>
<scope>test</scope>
</dependency>
</dependencies>
<build>
<plugins>
<plugin>
<artifactId>maven-compiler-plugin</artifactId>
<version>3.3</version>
<configuration>
<source>1.7</source>
<target>1.7</target>
<compilerArgument>-Xlint:all</compilerArgument>
</configuration>
</plugin>
</plugins>
</build>
</project>
package manu.sandbox.demos.hadoop;
import org.apache.hadoop.conf.Configuration;
import org.apache.hadoop.fs.FileSystem;
import org.apache.hadoop.fs.Path;
import org.apache.hadoop.io.IntWritable;
import org.apache.hadoop.io.LongWritable;
import org.apache.hadoop.io.Text;
import org.apache.hadoop.mapreduce.Job;
import org.apache.hadoop.mapreduce.Mapper;
import org.apache.hadoop.mapreduce.Reducer;
import org.apache.hadoop.mapreduce.lib.input.FileInputFormat;
import org.apache.hadoop.mapreduce.lib.output.FileOutputFormat;
import java.io.IOException;
import java.util.StringTokenizer;
public class WordCounter {
private static class WordMapper extends Mapper<LongWritable, Text, Text, IntWritable> {
private final static IntWritable one = new IntWritable(1);
private Text word = new Text();
@Override
public void map(LongWritable n, Text t, Context context) throws java.io.IOException, java.lang.InterruptedException {
String line = t.toString();
StringTokenizer tokenizer = new StringTokenizer(line, " ");
while (tokenizer.hasMoreTokens()) {
word.set(tokenizer.nextToken());
context.write(word, one);
}
}
}
private static class WordReducer extends Reducer<Text, IntWritable, Text, IntWritable> {
@Override
public void reduce(Text word, Iterable<IntWritable> counts, Context context) throws IOException, InterruptedException {
int sum = 0;
for (IntWritable count : counts) {
sum += count.get();
}
context.write(word, new IntWritable(sum));
}
}
public static void run(String input, String output, String jobName) {
try {
Configuration conf = new Configuration();
Job job = Job.getInstance(conf, jobName);
Path inputPath = new Path(input);
Path outputPath = new Path(output);
FileInputFormat.setInputPaths(job, inputPath);
FileOutputFormat.setOutputPath(job, outputPath);
FileSystem fs = FileSystem.getLocal(conf);
fs.delete(outputPath, true);
job.setJarByClass(WordCounter.class);
job.setOutputKeyClass(Text.class);
job.setOutputValueClass(IntWritable.class);
job.setMapperClass(WordMapper.class);
job.setReducerClass(WordReducer.class);
job.waitForCompletion(false);
} catch (Exception e) {
System.err.println("Exception thrown");
e.printStackTrace();
}
}
}
package manu.sandbox.demos.hadoop;
public class WordCounterTest {
public static void main(String[] args) {
if (args.length == 3) {
WordCounter.run(args[0], args[1], args[2]);
} else {
System.err.println("Invalid number of arguments");
}
}
}
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