/* * Copyright (c) 2011-2015 EPFL DATA Laboratory * Copyright (c) 2014-2015 The Squall Collaboration (see NOTICE) * * All rights reserved. * * Licensed 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 ch.epfl.data.squall.ewh.algorithms; import java.util.Map; import ch.epfl.data.squall.ewh.algorithms.optimality.WeightFunction; import ch.epfl.data.squall.ewh.data_structures.JoinMatrix; import ch.epfl.data.squall.ewh.data_structures.Region; public class OkcanCandidateInputAlgorithm extends OkcanAlgorithm { // that's how the optimality would be checked private WeightFunction _wf; public OkcanCandidateInputAlgorithm(int j, WeightFunction wf, int numXBuckets, int numYBuckets, Map map) { super(j, numXBuckets, numYBuckets, map, new OkcanCandidateCoarsener()); _wf = wf; } // coarsened region @Override public double getWeight(Region coarsenedRegion) { // Currently, the actual input is at most maxInput * bucketSize of // bigger relation // TODO we should scale sides according to bucketXSize : bucketYSize // but they don't do this in the paper // This would require to change the bounds for binarySearch (increase // the upperBound) return coarsenedRegion.getHalfPerimeter(); } @Override protected int getWeightLowerBound(JoinMatrix coarsenedMatrix, int numOfRegions) { long numOutputs = coarsenedMatrix.getNumElements(); return (int) (2 * Math.sqrt(numOutputs / numOfRegions)); } @Override protected int getWeightUpperBound(JoinMatrix coarsenedMatrix, int numOfRegions) { int xSize = coarsenedMatrix.getXSize(); // this is SINGLE_D_BUCKETS int ySize = coarsenedMatrix.getYSize(); // this is SINGLE_D_BUCKETS // each region should have at least one candidate cell return xSize + ySize - 2 * (numOfRegions - 1); } @Override public String toString() { return "OkcanCandidateInputAlgorithm" + "[" + super.toString() + "]"; } @Override public WeightPrecomputation getPrecomputation() { return null; } @Override public WeightFunction getWeightFunction() { return _wf; } @Override public String getShortName() { return "oci"; } }