org.springframework.hadoop.test.StatelessConfiguration.java Source code

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/*
 * Copyright 2006-2011 the original author or authors.
 *
 * Licensed 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.springframework.hadoop.test;

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;
import org.apache.hadoop.mapreduce.Reducer;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;

/**
 * @author Dave Syer
 * 
 */
@Configuration
public class StatelessConfiguration extends JobConfiguration {

    @Bean
    @Override
    public Mapper<?, ?, ?, ?> mapper() {
        return new Mapper<Object, Text, Text, IntWritable>() {
            protected void map(Object key, Text value, Context context) throws IOException, InterruptedException {
                StringTokenizer itr = new StringTokenizer(value.toString());
                while (itr.hasMoreTokens()) {
                    Text word = new Text(itr.nextToken());
                    context.write(word, new IntWritable(1));
                }
            }
        };
    }

    @Bean
    @Override
    public Reducer<?, ?, ?, ?> reducer() {
        return new Reducer<Text, IntWritable, Text, IntWritable>() {
            public void reduce(Text key, Iterable<IntWritable> values, Context context)
                    throws IOException, InterruptedException {
                int sum = 0;
                for (IntWritable val : values) {
                    sum += val.get();
                }
                IntWritable result = new IntWritable(sum);
                context.write(key, result);
            }
        };
    }

}