Java tutorial
/** * 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 AggTaskSmallHDFS extends HDFSJobBase { public static void main(String[] args) throws Exception { int res = ToolRunner.run(new Configuration(), new AggTaskSmallHDFS(), args); System.exit(res); } @Override protected JobConf configureJob(String... args) throws IOException { JobConf conf = new JobConf(this.getClass()); conf.setJobName("aggregation_hdfs_small"); conf.setOutputKeyClass(Text.class); conf.setOutputValueClass(DoubleWritable.class); conf.setMapperClass(AggTaskSmallHDFS.Map.class); conf.setCombinerClass(AggTaskSmallHDFS.Reduce.class); conf.setReducerClass(AggTaskSmallHDFS.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].substring(0, 7); 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; } }