/* * 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.instructions.mr; import java.util.ArrayList; import org.apache.sysml.lops.PartialAggregate.CorrectionLocationType; import org.apache.sysml.runtime.DMLRuntimeException; import org.apache.sysml.runtime.functionobjects.KahanPlus; import org.apache.sysml.runtime.instructions.InstructionUtils; import org.apache.sysml.runtime.matrix.MatrixCharacteristics; 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.OperationsOnMatrixValues; import org.apache.sysml.runtime.matrix.mapred.CachedValueMap; import org.apache.sysml.runtime.matrix.mapred.DistributedCacheInput; import org.apache.sysml.runtime.matrix.mapred.IndexedMatrixValue; import org.apache.sysml.runtime.matrix.mapred.MRBaseForCommonInstructions; import org.apache.sysml.runtime.matrix.operators.AggregateOperator; import org.apache.sysml.runtime.matrix.operators.Operator; public class GroupedAggregateMInstruction extends BinaryMRInstructionBase implements IDistributedCacheConsumer { private int _ngroups = -1; public GroupedAggregateMInstruction(Operator op, byte in1, byte in2, byte out, int ngroups, String istr) { super(op, in1, in2, out); _ngroups = ngroups; } public static GroupedAggregateMInstruction parseInstruction ( String str ) throws DMLRuntimeException { String[] parts = InstructionUtils.getInstructionParts ( str ); InstructionUtils.checkNumFields(parts, 5); byte in1 = Byte.parseByte(parts[1]); byte in2 = Byte.parseByte(parts[2]); byte out = Byte.parseByte(parts[3]); int ngroups = Integer.parseInt(parts[4]); //partitioning ignored Operator op = new AggregateOperator(0, KahanPlus.getKahanPlusFnObject(), true, CorrectionLocationType.LASTCOLUMN); return new GroupedAggregateMInstruction(op, in1, in2, out, ngroups, str); } @Override public void processInstruction(Class<? extends MatrixValue> valueClass, CachedValueMap cachedValues, IndexedMatrixValue tempValue, IndexedMatrixValue zeroInput, int blockRowFactor, int blockColFactor) throws DMLRuntimeException { ArrayList<IndexedMatrixValue> blkList = cachedValues.get(input1); if( blkList == null ) return; for(IndexedMatrixValue in1 : blkList) { if(in1 == null) continue; DistributedCacheInput dcInput = MRBaseForCommonInstructions.dcValues.get(input2); //get all inputs MatrixIndexes ix = in1.getIndexes(); MatrixBlock groups = (MatrixBlock)dcInput.getDataBlock((int)ix.getRowIndex(), 1).getValue(); //output blocked result int brlen = dcInput.getNumRowsPerBlock(); int bclen = dcInput.getNumColsPerBlock(); //execute map grouped aggregate operations ArrayList<IndexedMatrixValue> outlist = new ArrayList<IndexedMatrixValue>(); OperationsOnMatrixValues.performMapGroupedAggregate(getOperator(), in1, groups, _ngroups, brlen, bclen, outlist); //output all result blocks for( IndexedMatrixValue out : outlist ) { cachedValues.add(output, out); } } } @Override //IDistributedCacheConsumer public boolean isDistCacheOnlyIndex( String inst, byte index ) { return (index==input2 && index!=input1); } @Override //IDistributedCacheConsumer public void addDistCacheIndex( String inst, ArrayList<Byte> indexes ) { indexes.add(input2); } public void computeOutputCharacteristics(MatrixCharacteristics mcIn, MatrixCharacteristics mcOut) { mcOut.set(_ngroups, mcIn.getCols(), mcIn.getRowsPerBlock(), mcIn.getColsPerBlock()); } }