edu.iu.frlayout.FRJobLauncher.java Source code

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/*
 * Copyright 2014 Indiana University
 * 
 * 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.iu.frlayout;

import java.io.IOException;
import java.net.URISyntaxException;
import java.util.concurrent.ExecutionException;

import org.apache.hadoop.conf.Configuration;
import org.apache.hadoop.conf.Configured;
import org.apache.hadoop.fs.Path;
import org.apache.hadoop.mapred.JobConf;
import org.apache.hadoop.mapreduce.Job;
import org.apache.hadoop.mapreduce.lib.input.FileInputFormat;
import org.apache.hadoop.mapreduce.lib.output.FileOutputFormat;
import org.apache.hadoop.util.Tool;
import org.apache.hadoop.util.ToolRunner;

import edu.iu.common.MultiFileInputFormat;

public class FRJobLauncher extends Configured implements Tool {

    /**
     * Launches all the tasks in order.
     */
    @Override
    public int run(String[] args) throws Exception {
        if (args.length != 7) {
            System.err.println("Usage: hadoop jar hadoop-collecitve.jar <input dir> <layout file> "
                    + "<total vtx> <num iterations> <num map tasks> <partiiton per worker> <output dir>");
            ToolRunner.printGenericCommandUsage(System.err);
            return -1;
        }
        String inputDir = args[0];
        String layoutFile = args[1];
        int totalVtx = Integer.parseInt(args[2]);
        int numIteration = Integer.parseInt(args[3]);
        int numMapTasks = Integer.parseInt(args[4]);
        int partitionPerWorker = Integer.parseInt(args[5]);
        String outputDir = args[6];
        launch(inputDir, layoutFile, totalVtx, numIteration, numMapTasks, partitionPerWorker, outputDir);
        return 0;
    }

    void launch(String inputDir, String layoutFile, int totalVtx, int numIterations, int numMapTasks,
            int partitionPerWorker, String outputDir) throws IOException, URISyntaxException, InterruptedException,
            ExecutionException, ClassNotFoundException {
        Configuration configuration = getConf();
        runFR(inputDir, layoutFile, totalVtx, numIterations, numMapTasks, partitionPerWorker, outputDir,
                configuration);
    }

    private void runFR(String inputDir, String layoutFile, int totalVtx, int numIterations, int numMapTasks,
            int partitionPerWorker, String outputDir, Configuration configuration)
            throws IOException, URISyntaxException, InterruptedException, ClassNotFoundException {
        long startTime = System.currentTimeMillis();
        long iterStartTime;
        int jobCount = 0;
        int numJobs = 1;
        int iterationCount = numIterations / numJobs;
        boolean jobSuccess = true;
        System.out.println("Starting FR Layout Job");
        do {
            iterStartTime = System.currentTimeMillis();
            Job job = prepareJob(inputDir, layoutFile, totalVtx, iterationCount, jobCount, numMapTasks,
                    partitionPerWorker, outputDir, configuration);
            jobSuccess = job.waitForCompletion(true);
            if (!jobSuccess) {
                System.out.println("FR Layout Job failed. Job:" + jobCount);
                break;
            }
            System.out.println("| Job #" + jobCount + " Finished in "
                    + (System.currentTimeMillis() - iterStartTime) / 1000.0 + " seconds |");
            jobCount++;
        } while ((jobCount < numJobs) && jobSuccess);
        System.out.println("Hadoop FR Layout Job Finished in " + (System.currentTimeMillis() - startTime) / 1000.0
                + " seconds");
        System.out.println("Number of jobs = " + jobCount);
    }

    private Job prepareJob(String inputDir, String layoutFile, int totalVtx, int iterationCount, int jobCount,
            int numMapTasks, int partiitonPerWorker, String outputDirPath, Configuration configuration)
            throws IOException, URISyntaxException, InterruptedException, ClassNotFoundException {
        Job job = new Job(configuration, "fr-" + jobCount);
        Configuration jobConfig = job.getConfiguration();
        Path outputDir = new Path(outputDirPath);
        FileInputFormat.setInputPaths(job, inputDir);
        FileOutputFormat.setOutputPath(job, outputDir);
        jobConfig.set(FRConstants.LAYOUT_FILE, layoutFile);
        jobConfig.setInt(FRConstants.ITERATION, iterationCount);
        jobConfig.setInt(FRConstants.TOTAL_VTX, totalVtx);
        jobConfig.setInt(FRConstants.NUM_MAPS, numMapTasks);
        jobConfig.setInt(FRConstants.PARTITION_PER_WORKER, partiitonPerWorker);
        jobConfig.setInt("mapreduce.job.max.split.locations", 10000);
        // input class to file-based class
        // job.setInputFormatClass(DataFileInputFormat.class);
        job.setInputFormatClass(MultiFileInputFormat.class);
        // job.setOutputFormatClass(SequenceFileOutputFormat.class);
        job.setJarByClass(FRJobLauncher.class);
        job.setMapperClass(FRCollectiveMapper.class);
        org.apache.hadoop.mapred.JobConf jobConf = (JobConf) job.getConfiguration();
        jobConf.set("mapreduce.framework.name", "map-collective");
        jobConf.setNumMapTasks(numMapTasks);
        job.setNumReduceTasks(0);
        return job;
    }

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