com.pinterest.terrapin.hadoop.examples.WordCount.java Source code

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Here is the source code for com.pinterest.terrapin.hadoop.examples.WordCount.java

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/**
* 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 com.pinterest.terrapin.hadoop.examples;

import com.pinterest.terrapin.hadoop.HadoopJobLoader;
import com.pinterest.terrapin.hadoop.TerrapinUploaderOptions;
import org.apache.hadoop.conf.Configuration;
import org.apache.hadoop.conf.Configured;
import org.apache.hadoop.fs.Path;
import org.apache.hadoop.io.BytesWritable;
import org.apache.hadoop.io.IntWritable;
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.util.Tool;
import org.apache.hadoop.util.ToolRunner;

import java.io.IOException;
import java.util.StringTokenizer;

/**
 * Example WordCount program writing the data directly to terrapin.
 */
public class WordCount extends Configured implements Tool {

    public static class TokenizerMapper extends Mapper<Object, Text, Text, IntWritable> {

        private final static IntWritable one = new IntWritable(1);
        private Text word = new Text();

        public void map(Object key, Text value, Context context) throws IOException, InterruptedException {
            StringTokenizer itr = new StringTokenizer(value.toString());
            while (itr.hasMoreTokens()) {
                word.set(itr.nextToken());
                context.write(word, one);
            }
        }
    }

    public static class IntSumReducer extends Reducer<Text, IntWritable, BytesWritable, BytesWritable> {

        public void reduce(Text key, Iterable<IntWritable> values, Context context)
                throws IOException, InterruptedException {
            int sum = 0;
            for (IntWritable val : values) {
                sum += val.get();
            }
            context.write(new BytesWritable(key.toString().getBytes(), key.toString().length()),
                    new BytesWritable(Integer.toString(sum).getBytes()));
        }
    }

    public int run(String[] args) throws Exception {
        TerrapinUploaderOptions options = TerrapinUploaderOptions.initFromSystemProperties();

        // Create the job, setting the inputs and map output key and map output value classes.
        // Also, set reducer and mapper.
        Job job = Job.getInstance(super.getConf(), "word count");
        job.setJarByClass(WordCount.class);
        job.setMapperClass(TokenizerMapper.class);
        job.setReducerClass(IntSumReducer.class);
        job.setMapOutputKeyClass(Text.class);
        job.setMapOutputValueClass(IntWritable.class);
        FileInputFormat.addInputPath(job, new Path(args[0]));

        // Wrap around Hadoop Loader job to write the data to a terrapin fileset.
        return new HadoopJobLoader(options, job).waitForCompletion() ? 0 : 1;
    }

    public static void main(String[] args) throws Exception {
        Configuration conf = new Configuration();
        int res = ToolRunner.run(conf, new WordCount(), args);
        System.exit(res);
    }
}