edu.indiana.d2i.htrc.io.ParallelDataCopyJob.java Source code

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Here is the source code for edu.indiana.d2i.htrc.io.ParallelDataCopyJob.java

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/*
#
# Copyright 2012 The Trustees of 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.
#
# -----------------------------------------------------------------
#
# Project: knn
# File:  DataCopyJob.java
# Description:  
#
# -----------------------------------------------------------------
# 
 */

package edu.indiana.d2i.htrc.io;

import org.apache.commons.logging.Log;
import org.apache.commons.logging.LogFactory;
import org.apache.hadoop.conf.Configuration;
import org.apache.hadoop.conf.Configured;
import org.apache.hadoop.fs.Path;
import org.apache.hadoop.io.Text;
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.mapreduce.lib.output.SequenceFileOutputFormat;
import org.apache.hadoop.util.Tool;
import org.apache.hadoop.util.ToolRunner;

import edu.indiana.d2i.htrc.HTRCConstants;
import edu.indiana.d2i.htrc.io.dataapi.IDInputFormat;
import edu.indiana.d2i.htrc.util.Utilities;

public class ParallelDataCopyJob extends Configured implements Tool {
    private static final Log logger = LogFactory.getLog(ParallelDataCopyJob.class);

    private void printUsage() {
        System.out.println("Bad input arguments!");
        System.exit(1);
    }

    @Override
    public int run(String[] args) throws Exception {
        if (args.length != 5) {
            printUsage();
        }

        String inputPath = args[0];
        String outputPath = args[1];
        int maxIdsPerSplit = Integer.valueOf(args[2]);
        String dataAPIConfClassName = args[3];
        int maxIdsPerReq = Integer.valueOf(args[4]);

        logger.info("ParallelDataCopyJob ");
        logger.info(" - input: " + inputPath); // id list
        logger.info(" - output: " + outputPath);
        logger.info(" - maxIdsPerSplit: " + maxIdsPerSplit);
        logger.info(" - dataAPIConfClassName: " + dataAPIConfClassName);

        Job job = new Job(getConf(), "Copy data from HTRC data storage parallely.");
        job.setJarByClass(ParallelDataCopyJob.class);

        job.getConfiguration().setInt(HTRCConstants.MAX_IDNUM_SPLIT, maxIdsPerSplit);
        Utilities.setDataAPIConf(job.getConfiguration(), dataAPIConfClassName, maxIdsPerReq);

        // no speculation
        job.getConfiguration().setBoolean("mapred.map.tasks.speculative.execution", false);
        job.getConfiguration().setBoolean("mapred.reduce.tasks.speculative.execution", false);

        job.setInputFormatClass(IDInputFormat.class);
        job.setOutputFormatClass(SequenceFileOutputFormat.class);

        job.setMapOutputKeyClass(Text.class);
        job.setMapOutputValueClass(Text.class);
        job.setOutputKeyClass(Text.class);
        job.setOutputValueClass(Text.class);

        job.setMapperClass(org.apache.hadoop.mapreduce.Mapper.class);
        job.setNumReduceTasks(0);

        FileInputFormat.setInputPaths(job, new Path(inputPath));
        FileOutputFormat.setOutputPath(job, new Path(outputPath));

        long start = System.nanoTime();
        job.waitForCompletion(true);
        logger.info("ParallelDataCopyJob took " + (System.nanoTime() - start) / 1e9 + " seconds.");

        return 0;
    }

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