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Declarative Machine Learning
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/*
 * 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.sysml.runtime.matrix;

import java.util.HashMap;

import org.apache.commons.logging.Log;
import org.apache.commons.logging.LogFactory;
import org.apache.hadoop.mapred.JobClient;
import org.apache.hadoop.mapred.JobConf;
import org.apache.hadoop.mapred.RunningJob;
import org.apache.hadoop.mapred.Counters.Group;

import org.apache.sysml.conf.ConfigurationManager;
import org.apache.sysml.conf.DMLConfig;
import org.apache.sysml.runtime.controlprogram.parfor.stat.InfrastructureAnalyzer;
import org.apache.sysml.runtime.instructions.MRInstructionParser;
import org.apache.sysml.runtime.instructions.MRJobInstruction;
import org.apache.sysml.runtime.instructions.mr.CSVWriteInstruction;
import org.apache.sysml.runtime.matrix.data.InputInfo;
import org.apache.sysml.runtime.matrix.data.MatrixBlock;
import org.apache.sysml.runtime.matrix.data.OutputInfo;
import org.apache.sysml.runtime.matrix.data.TaggedFirstSecondIndexes;
import org.apache.sysml.runtime.matrix.mapred.CSVWriteMapper;
import org.apache.sysml.runtime.matrix.mapred.CSVWriteReducer;
import org.apache.sysml.runtime.matrix.mapred.MRJobConfiguration;
import org.apache.sysml.runtime.matrix.mapred.MRJobConfiguration.ConvertTarget;
import org.apache.sysml.yarn.ropt.YarnClusterAnalyzer;

public class WriteCSVMR 
{
		
	private static final Log LOG = LogFactory.getLog(WriteCSVMR.class.getName());
	
	private WriteCSVMR() {
		//prevent instantiation via private constructor
	}
	
	public static JobReturn runJob(MRJobInstruction inst, String[] inputs, InputInfo[] inputInfos, 
			long[] rlens, long[] clens, int[] brlens, int[] bclens, String csvWriteInstructions, int numReducers, int replication, 
			byte[] resultIndexes, String[] outputs) 
	throws Exception
	{
		JobConf job = new JobConf(WriteCSVMR.class);
		job.setJobName("WriteCSV-MR");
		
		byte[] realIndexes=new byte[inputs.length];
		for(byte b=0; bmaxRlen)
				maxRlen=rlen;
		
		//set up the number of reducers (according to output size)
		int numRed = determineNumReducers(rlens, clens, ConfigurationManager.getConfig().getIntValue(DMLConfig.NUM_REDUCERS), (int)maxRlen);
		job.setNumReduceTasks(numRed);
		
		byte[] resultDimsUnknown = new byte[resultIndexes.length];
		MatrixCharacteristics[] stats=new MatrixCharacteristics[resultIndexes.length];
		OutputInfo[] outputInfos=new OutputInfo[outputs.length];
		HashMap indexmap=new HashMap();
		for(int i=0; i