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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.mapred;

import java.io.IOException;
import java.util.ArrayList;

import org.apache.hadoop.io.Writable;
import org.apache.hadoop.mapred.JobConf;
import org.apache.hadoop.mapred.Mapper;
import org.apache.hadoop.mapred.OutputCollector;
import org.apache.hadoop.mapred.Reporter;
import org.apache.sysml.hops.OptimizerUtils;
import org.apache.sysml.runtime.instructions.mr.GroupedAggregateInstruction;
import org.apache.sysml.runtime.matrix.data.MatrixBlock;
import org.apache.sysml.runtime.matrix.data.MatrixIndexes;
import org.apache.sysml.runtime.matrix.data.MatrixValue;
import org.apache.sysml.runtime.matrix.data.TaggedMatrixIndexes;
import org.apache.sysml.runtime.matrix.data.WeightedCell;
import org.apache.sysml.runtime.matrix.operators.AggregateOperator;

public class GroupedAggMRMapper extends MapperBase
	implements Mapper
{
		
	//block instructions that need to be performed in part by mapper
	protected ArrayList> groupAgg_instructions=new ArrayList>();
	private MatrixIndexes outKeyValue=new MatrixIndexes();
	private TaggedMatrixIndexes outKey=new TaggedMatrixIndexes(outKeyValue, (byte)0);
	private WeightedCell outValue=new WeightedCell();

	@Override
	public void map(MatrixIndexes key, MatrixValue value,
			        OutputCollector out, Reporter reporter) 
	    throws IOException 
	{
		for(int k=0; k 0 
						&& OptimizerUtils.isValidCPDimensions(ins.getNGroups(), block.getNumColumns()-1) ) 
					{
						try 
						{
							MatrixBlock group = block.sliceOperations(0, block.getNumRows()-1, 
									block.getNumColumns()-1, block.getNumColumns()-1, new MatrixBlock());
							MatrixBlock target = block.sliceOperations(0, block.getNumRows()-1, 
									0, block.getNumColumns()-2, new MatrixBlock());
								
							MatrixBlock tmp = group.groupedAggOperations(target, null, new MatrixBlock(), ins.getNGroups(), ins.getOperator());
							
							for(int i=0; i out, Reporter reporter)
			throws IOException 
	{
		
	}
	
	@Override
	public void configure(JobConf job)
	{
		super.configure(job);
		
		try 
		{
			GroupedAggregateInstruction[] grpaggIns = MRJobConfiguration.getGroupedAggregateInstructions(job);
			if( grpaggIns == null )
				throw new RuntimeException("no GroupAggregate Instructions found!");
			
			ArrayList vec = new ArrayList();
			for(int i=0; i