Use multi threading in a single job

/*

 * Copyright (c) 2006-2010 North Concepts Inc.  All rights reserved.

 * Proprietary and Confidential.  Use is subject to license terms.

 *

 * http://northconcepts.com/data-pipeline/licensing/

 *

 */

package com.northconcepts.datapipeline.examples.cookbook;



import java.io.File;



import org.apache.log4j.Logger;



import com.northconcepts.datapipeline.core.AsyncReader;

import com.northconcepts.datapipeline.core.DataEndpoint;

import com.northconcepts.datapipeline.core.DataReader;

import com.northconcepts.datapipeline.core.DataWriter;

import com.northconcepts.datapipeline.csv.CSVReader;

import com.northconcepts.datapipeline.csv.CSVWriter;

import com.northconcepts.datapipeline.job.JobTemplate;



public class UseMultiThreadingInASingleJob {

    

    public static final Logger log = DataEndpoint.log; 



    public static void main(String[] args) throws Throwable {

        DataReader reader = new CSVReader(new File("example/data/input/credit-balance-01.csv"))

            .setFieldNamesInFirstRow(true);



        DataWriter writer = new CSVWriter(new File("example/data/output/credit-balance-04.csv"))

            .setFieldNamesInFirstRow(true);



        // buffers up to 10 megs using another thread;

        // asyncReader.read() will pull from this buffer

        AsyncReader asyncReader = new AsyncReader(reader)

            .setMaxBufferSizeInBytes(1024 * 1024 * 10);

    

        JobTemplate.DEFAULT.transfer(asyncReader, writer);

        

        log.info("PeakBufferSize: " + asyncReader.getPeakBufferSizeInBytes());

    }



}
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