Java tutorial
/* * 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 org.apache.pig.test.pigmix.mapreduce; import java.io.IOException; import java.util.ArrayList; import java.util.TreeSet; import java.util.Iterator; import java.util.HashMap; import java.util.List; import java.util.Map; import java.util.Set; import java.util.Properties; import org.apache.hadoop.fs.Path; import org.apache.hadoop.io.Text; import org.apache.hadoop.io.LongWritable; import org.apache.hadoop.mapred.FileInputFormat; import org.apache.hadoop.mapred.FileOutputFormat; import org.apache.hadoop.mapred.JobConf; import org.apache.hadoop.mapred.KeyValueTextInputFormat; import org.apache.hadoop.mapred.Mapper; import org.apache.hadoop.mapred.MapReduceBase; 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.jobcontrol.Job; import org.apache.hadoop.mapred.jobcontrol.JobControl; import org.apache.hadoop.mapred.lib.IdentityMapper; import org.apache.pig.test.pigmix.mapreduce.Library; public class L16 { public static class ReadPageViews extends MapReduceBase implements Mapper<LongWritable, Text, Text, Text> { public void map(LongWritable k, Text val, OutputCollector<Text, Text> oc, Reporter reporter) throws IOException { // Split the line List<Text> fields = Library.splitLine(val, ''); if (fields.size() != 9) return; oc.collect(fields.get(0), fields.get(6)); } } public static class Group extends MapReduceBase implements Reducer<Text, Text, Text, Text> { public void reduce(Text key, Iterator<Text> iter, OutputCollector<Text, Text> oc, Reporter reporter) throws IOException { Set<Double> hash2 = new TreeSet<Double>(); while (iter.hasNext()) { List<Text> vals = Library.splitLine(iter.next(), ''); try { hash2.add(Double.valueOf(vals.get(0).toString())); } catch (NumberFormatException nfe) { } } Double rev = new Double(0); for (Double d : hash2) rev += d; oc.collect(key, new Text(rev.toString())); reporter.setStatus("OK"); } } public static void main(String[] args) throws IOException { if (args.length != 3) { System.out.println("Parameters: inputDir outputDir parallel"); System.exit(1); } String inputDir = args[0]; String outputDir = args[1]; String parallel = args[2]; JobConf lp = new JobConf(L16.class); lp.setJobName("L16 Load Page Views"); lp.setInputFormat(TextInputFormat.class); lp.setOutputKeyClass(Text.class); lp.setOutputValueClass(Text.class); lp.setMapperClass(ReadPageViews.class); lp.setReducerClass(Group.class); Properties props = System.getProperties(); for (Map.Entry<Object, Object> entry : props.entrySet()) { lp.set((String) entry.getKey(), (String) entry.getValue()); } FileInputFormat.addInputPath(lp, new Path(inputDir + "/page_views")); FileOutputFormat.setOutputPath(lp, new Path(outputDir + "/L16out")); lp.setNumReduceTasks(Integer.parseInt(parallel)); Job group = new Job(lp); JobControl jc = new JobControl("L16 join"); jc.addJob(group); new Thread(jc).start(); int i = 0; while (!jc.allFinished()) { ArrayList<Job> failures = jc.getFailedJobs(); if (failures != null && failures.size() > 0) { for (Job failure : failures) { System.err.println(failure.getMessage()); } break; } try { Thread.sleep(5000); } catch (InterruptedException e) { } if (i % 10000 == 0) { System.out.println("Running jobs"); ArrayList<Job> running = jc.getRunningJobs(); if (running != null && running.size() > 0) { for (Job r : running) { System.out.println(r.getJobName()); } } System.out.println("Ready jobs"); ArrayList<Job> ready = jc.getReadyJobs(); if (ready != null && ready.size() > 0) { for (Job r : ready) { System.out.println(r.getJobName()); } } System.out.println("Waiting jobs"); ArrayList<Job> waiting = jc.getWaitingJobs(); if (waiting != null && waiting.size() > 0) { for (Job r : ready) { System.out.println(r.getJobName()); } } System.out.println("Successful jobs"); ArrayList<Job> success = jc.getSuccessfulJobs(); if (success != null && success.size() > 0) { for (Job r : ready) { System.out.println(r.getJobName()); } } } i++; } ArrayList<Job> failures = jc.getFailedJobs(); if (failures != null && failures.size() > 0) { for (Job failure : failures) { System.err.println(failure.getMessage()); } } jc.stop(); } }