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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
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 * KIND, either express or implied.  See the License for the
 * specific language governing permissions and limitations
 * under the License.
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package org.apache.sysml.runtime.matrix;

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.runtime.instructions.MRJobInstruction;
import org.apache.sysml.runtime.matrix.data.InputInfo;
import org.apache.sysml.runtime.matrix.data.OutputInfo;
import org.apache.sysml.runtime.matrix.data.TaggedMatrixIndexes;
import org.apache.sysml.runtime.matrix.data.WeightedCell;
import org.apache.sysml.runtime.matrix.mapred.GroupedAggMRCombiner;
import org.apache.sysml.runtime.matrix.mapred.GroupedAggMRMapper;
import org.apache.sysml.runtime.matrix.mapred.GroupedAggMRReducer;
import org.apache.sysml.runtime.matrix.mapred.MRJobConfiguration;
import org.apache.sysml.runtime.matrix.mapred.MRJobConfiguration.ConvertTarget;
import org.apache.sysml.runtime.util.MapReduceTool;


public class GroupedAggMR 
{
	private static final Log LOG = LogFactory.getLog(GroupedAggMR.class.getName());
	
	private GroupedAggMR() {
		//prevent instantiation via private constructor
	}
	
	public static JobReturn runJob(MRJobInstruction inst, String[] inputs, InputInfo[] inputInfos, long[] rlens, long[] clens, 
			int[] brlens, int[] bclens, String grpAggInstructions, String simpleReduceInstructions/*only scalar or reorg instructions allowed*/, 
			int numReducers, int replication, byte[] resultIndexes,	String dimsUnknownFilePrefix, String[] outputs, OutputInfo[] outputInfos) 
	throws Exception
	{
		JobConf job = new JobConf(GroupedAggMR.class);
		job.setJobName("GroupedAgg-MR");
		
		//whether use block representation or cell representation
		//MRJobConfiguration.setMatrixValueClassForCM_N_COM(job, true);
		MRJobConfiguration.setMatrixValueClass(job, false);
	
		//added for handling recordreader instruction
		String[] realinputs=inputs;
		InputInfo[] realinputInfos=inputInfos;
		long[] realrlens=rlens;
		long[] realclens=clens;
		int[] realbrlens=brlens;
		int[] realbclens=bclens;
		byte[] realIndexes=new byte[inputs.length];
		for(byte b=0; b