MapReduce案例WordCount

所需的 pom 依赖：

<dependencies>
    <dependency>
        <groupId>org.apache.hadoop</groupId>
        <artifactId>hadoop-client</artifactId>
        <version>2.7.3</version>
    </dependency>
    <dependency>
        <groupId>org.apache.hadoop</groupId>
        <artifactId>hadoop-common</artifactId>
        <version>2.7.3</version>
    </dependency>
    <dependency>
        <groupId>org.apache.hadoop</groupId>
        <artifactId>hadoop-hdfs</artifactId>
        <version>2.7.3</version>
    </dependency>
</dependencies>

 

 

 

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<dependencies>

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    <dependency>

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        <groupId>org.apache.hadoop</groupId>

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        <artifactId>hadoop-client</artifactId>

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        <version>2.7.3</version>

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    </dependency>

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    <dependency>

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        <groupId>org.apache.hadoop</groupId>

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        <artifactId>hadoop-common</artifactId>

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        <version>2.7.3</version>

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    </dependency>

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    <dependency>

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        <groupId>org.apache.hadoop</groupId>

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        <artifactId>hadoop-hdfs</artifactId>

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        <version>2.7.3</version>

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    </dependency>

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</dependencies>

 

 

Mapper 实现：

import java.io.IOException;
import org.apache.hadoop.io.LongWritable;
import org.apache.hadoop.io.Text;
import org.apache.hadoop.mapreduce.Mapper;

public class WordCountMapper extends Mapper<LongWritable, Text, Text, LongWritable> {

    private Text k = new Text();
    private LongWritable v = new LongWritable();

    @Override
    protected void map(LongWritable key, Text value, Context context) throws IOException, InterruptedException {
        String line = value.toString();
        // 分词
        String[] words = line.split(" ");
        // 输出
        for (String word : words) {
            k.set(word);
            v.set(1L);
            context.write(k, v);
        }
    }
}

 

 

 

 

 

 

 

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import java.io.IOException;

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import org.apache.hadoop.io.LongWritable;

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import org.apache.hadoop.io.Text;

 

 

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import org.apache.hadoop.mapreduce.Mapper;

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public class WordCountMapper extends Mapper<LongWritable, Text, Text, LongWritable> {

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    private Text k = new Text();

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    private LongWritable v = new LongWritable();

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    @Override

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    protected void map(LongWritable key, Text value, Context context) throws IOException, InterruptedException {

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        String line = value.toString();

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        // 分词

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        String[] words = line.split(" ");

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        // 输出

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        for (String word : words) {

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            k.set(word);

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            v.set(1L);

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            context.write(k, v);

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        }

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    }

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}

 

 

Reducer 实现：

import java.io.IOException;

import org.apache.hadoop.io.LongWritable;
import org.apache.hadoop.io.Text;
import org.apache.hadoop.mapreduce.Reducer;

public class WordCountReducer extends Reducer<Text, LongWritable, Text, LongWritable> {

    private LongWritable value = new LongWritable();

    @Override
    protected void reduce(Text key, Iterable<LongWritable> values, Context context) throws IOException, InterruptedException {
        long sum = 0;
        // 计数
        for (LongWritable v : values) {
            sum += v.get();
        }
        // 输出
        value.set(sum);
        context.write(key, value);
    }
}

 

 

 

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import java.io.IOException;

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import org.apache.hadoop.io.LongWritable;

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import org.apache.hadoop.io.Text;

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import org.apache.hadoop.mapreduce.Reducer;

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public class WordCountReducer extends Reducer<Text, LongWritable, Text, LongWritable> {

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    private LongWritable value = new LongWritable();

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    @Override

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    protected void reduce(Text key, Iterable<LongWritable> values, Context context) throws IOException, InterruptedException {

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        long sum = 0;

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        // 计数

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        for (LongWritable v : values) {

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            sum += v.get();

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        }

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        // 输出

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        value.set(sum);

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        context.write(key, value);

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    }

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}

 

 

Driver 实现：

import org.apache.hadoop.conf.Configuration;
import org.apache.hadoop.fs.Path;
import org.apache.hadoop.io.LongWritable;
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.output.FileOutputFormat;

public class Driver {

    public static void main(String[] args) throws Exception {
        args = new String[]{"D:/EclipseWorkspace/mapreducetop10/hello.txt",
            "D:/EclipseWorkspace/mapreducetop10/output"};

        Configuration conf = new Configuration();
        Job job = Job.getInstance(conf);
        // 指明程序的入口
        job.setJarByClass(Driver.class);

        // 指明mapper
        job.setMapperClass(WordCountMapper.class);
        job.setMapOutputKeyClass(Text.class);
        job.setMapOutputValueClass(LongWritable.class);

        // 指明reducer
        job.setReducerClass(WordCountReducer.class);
        job.setOutputKeyClass(Text.class);
        job.setOutputValueClass(LongWritable.class);

        // 指明任务的输入输出路径
        FileInputFormat.setInputPaths(job, new Path(args[0]));
        FileOutputFormat.setOutputPath(job, new Path(args[1]));

        // 启动任务
        job.waitForCompletion(true);
    }
}

 

 

 

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import org.apache.hadoop.conf.Configuration;

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import org.apache.hadoop.fs.Path;

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import org.apache.hadoop.io.LongWritable;

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import org.apache.hadoop.io.Text;

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import org.apache.hadoop.mapreduce.Job;

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import org.apache.hadoop.mapreduce.lib.input.FileInputFormat;

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import org.apache.hadoop.mapreduce.lib.output.FileOutputFormat;

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public class Driver {

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    public static void main(String[] args) throws Exception {

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        args = new String[]{"D:/EclipseWorkspace/mapreducetop10/hello.txt",

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            "D:/EclipseWorkspace/mapreducetop10/output"};

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        Configuration conf = new Configuration();

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        Job job = Job.getInstance(conf);

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        // 指明程序的入口

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        job.setJarByClass(Driver.class);

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        // 指明mapper

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        job.setMapperClass(WordCountMapper.class);

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        job.setMapOutputKeyClass(Text.class);

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        job.setMapOutputValueClass(LongWritable.class);

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        // 指明reducer

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        job.setReducerClass(WordCountReducer.class);

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        job.setOutputKeyClass(Text.class);

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        job.setOutputValueClass(LongWritable.class);

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        // 指明任务的输入输出路径

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        FileInputFormat.setInputPaths(job, new Path(args[0]));

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        FileOutputFormat.setOutputPath(job, new Path(args[1]));

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        // 启动任务

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        job.waitForCompletion(true);

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    }

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}

 

 

WordCount执行过程：（图示）