edu.yale.cs.hadoopdb.benchmark.AggTaskLargeHDFS.java Source code

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Here is the source code for edu.yale.cs.hadoopdb.benchmark.AggTaskLargeHDFS.java

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/**
 * Copyright 2009 HadoopDB Team (http://db.cs.yale.edu/hadoopdb/hadoopdb.html)
 *
 * 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 edu.yale.cs.hadoopdb.benchmark;

import java.io.IOException;
import java.util.Iterator;

import org.apache.hadoop.conf.Configuration;
import org.apache.hadoop.fs.Path;
import org.apache.hadoop.io.DoubleWritable;
import org.apache.hadoop.io.LongWritable;
import org.apache.hadoop.io.Text;
import org.apache.hadoop.mapred.FileInputFormat;
import org.apache.hadoop.mapred.FileOutputFormat;
import org.apache.hadoop.mapred.JobConf;
import org.apache.hadoop.mapred.MapReduceBase;
import org.apache.hadoop.mapred.Mapper;
import org.apache.hadoop.mapred.OutputCollector;
import org.apache.hadoop.mapred.Reducer;
import org.apache.hadoop.mapred.Reporter;
import org.apache.hadoop.mapred.TextInputFormat;
import org.apache.hadoop.mapred.TextOutputFormat;
import org.apache.hadoop.util.ToolRunner;

import edu.yale.cs.hadoopdb.exec.HDFSJobBase;
import edu.yale.cs.hadoopdb.util.BenchmarkUtils;
import edu.yale.cs.hadoopdb.util.HDFSUtil;

/**
 * Adapted from Andy Pavlo's code 
 * http://database.cs.brown.edu/projects/mapreduce-vs-dbms/
 */
public class AggTaskLargeHDFS extends HDFSJobBase {

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

    @Override
    protected JobConf configureJob(String... args) throws IOException {

        JobConf conf = new JobConf(getConf(), this.getClass());
        conf.setJobName("aggregation_hdfs_large");

        conf.setOutputKeyClass(Text.class);
        conf.setOutputValueClass(DoubleWritable.class);

        conf.setMapperClass(AggTaskLargeHDFS.Map.class);
        conf.setCombinerClass(AggTaskLargeHDFS.Reduce.class);
        conf.setReducerClass(AggTaskLargeHDFS.Reduce.class);

        conf.setInputFormat(TextInputFormat.class);
        conf.setOutputFormat(TextOutputFormat.class);

        if (args.length < 2) {
            throw new RuntimeException("Incorrect arguments provided for " + this.getClass());
        }

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

        // OUTPUT properties
        Path outputPath = new Path(args[1]);
        HDFSUtil.deletePath(outputPath);
        FileOutputFormat.setOutputPath(conf, outputPath);

        return conf;

    }

    static class Map extends MapReduceBase implements Mapper<LongWritable, Text, Text, DoubleWritable> {

        protected Text outputKey = new Text();
        protected DoubleWritable outputValue = new DoubleWritable();

        public void map(LongWritable key, Text value, OutputCollector<Text, DoubleWritable> output,
                Reporter reporter) throws IOException {

            // UserVisits: sourceIP | destURL | visitDate | adRevenue |
            // userAgent | countryCode | langCode | searchWord | duration
            String fields[] = BenchmarkUtils.DELIMITER_PATTERN.split(value.toString());

            String newKey = fields[0];
            Double revenue = Double.parseDouble(fields[3]);

            outputKey.set(newKey);
            outputValue.set(revenue);
            output.collect(outputKey, outputValue);
        }
    }

    public static class Reduce extends MapReduceBase
            implements Reducer<Text, DoubleWritable, Text, DoubleWritable> {

        protected DoubleWritable outputValue = new DoubleWritable();

        public void reduce(Text key, Iterator<DoubleWritable> values, OutputCollector<Text, DoubleWritable> output,
                Reporter reporter) throws IOException {

            double sum = 0;
            while (values.hasNext()) {
                sum += values.next().get();
            }

            outputValue.set(sum);
            output.collect(key, outputValue);
        }
    }

    @Override
    protected int printUsage() {
        System.out.println("<input_dir> <output_dir>");
        return -1;
    }

}