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package de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkapp;
/*
This file is part of ELKI:
Environment for Developing KDD-Applications Supported by Index-Structures
Copyright (C) 2013
Ludwig-Maximilians-Universität München
Lehr- und Forschungseinheit für Datenbanksysteme
ELKI Development Team
This program is free software: you can redistribute it and/or modify
it under the terms of the GNU Affero General Public License as published by
the Free Software Foundation, either version 3 of the License, or
(at your option) any later version.
This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU Affero General Public License for more details.
You should have received a copy of the GNU Affero General Public License
along with this program. If not, see <http://www.gnu.org/licenses/>.
*/
import java.util.ArrayList;
import java.util.List;
import de.lmu.ifi.dbs.elki.database.ids.DBID;
import de.lmu.ifi.dbs.elki.database.ids.DBIDIter;
import de.lmu.ifi.dbs.elki.database.ids.DBIDUtil;
import de.lmu.ifi.dbs.elki.database.query.DatabaseQuery;
import de.lmu.ifi.dbs.elki.database.query.distance.DistanceQuery;
import de.lmu.ifi.dbs.elki.database.query.knn.KNNQuery;
import de.lmu.ifi.dbs.elki.database.query.range.RangeQuery;
import de.lmu.ifi.dbs.elki.database.query.rknn.RKNNQuery;
import de.lmu.ifi.dbs.elki.database.relation.Relation;
import de.lmu.ifi.dbs.elki.distance.distancefunction.DistanceFunction;
import de.lmu.ifi.dbs.elki.distance.distancevalue.Distance;
import de.lmu.ifi.dbs.elki.distance.distancevalue.NumberDistance;
import de.lmu.ifi.dbs.elki.index.KNNIndex;
import de.lmu.ifi.dbs.elki.index.RKNNIndex;
import de.lmu.ifi.dbs.elki.index.RangeIndex;
import de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.query.MTreeQueryUtil;
import de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.query.MkTreeRKNNQuery;
import de.lmu.ifi.dbs.elki.persistent.PageFile;
/**
* MkAppTree used as database index.
*
* @author Erich Schubert
*
* @param <O> Object type
* @param <D> Distance type
*/
public class MkAppTreeIndex<O, D extends NumberDistance<D, ?>> extends MkAppTree<O, D> implements RangeIndex<O>, KNNIndex<O>, RKNNIndex<O> {
/**
* The relation indexed
*/
private Relation<O> relation;
/**
* Constructor.
*
* @param relation Relation to index
* @param pageFile Page file
* @param settings Tree settings
*/
public MkAppTreeIndex(Relation<O> relation, PageFile<MkAppTreeNode<O, D>> pageFile, MkAppTreeSettings<O, D> settings) {
super(relation, pageFile, settings);
this.relation = relation;
}
/**
* Creates a new leaf entry representing the specified data object in the
* specified subtree.
*
* @param object the data object to be represented by the new entry
* @param parentDistance the distance from the object to the routing object of
* the parent node
*/
protected MkAppEntry createNewLeafEntry(DBID id, O object, double parentDistance) {
return new MkAppLeafEntry(id, parentDistance, null);
}
@Override
public void initialize() {
super.initialize();
List<MkAppEntry> objs = new ArrayList<>(relation.size());
for (DBIDIter iter = relation.iterDBIDs(); iter.valid(); iter.advance()) {
DBID id = DBIDUtil.deref(iter);
final O object = relation.get(id);
objs.add(createNewLeafEntry(id, object, Double.NaN));
}
insertAll(objs);
}
@SuppressWarnings("unchecked")
@Override
public <S extends Distance<S>> KNNQuery<O, S> getKNNQuery(DistanceQuery<O, S> distanceQuery, Object... hints) {
// Query on the relation we index
if (distanceQuery.getRelation() != relation) {
return null;
}
DistanceFunction<? super O, D> distanceFunction = (DistanceFunction<? super O, D>) distanceQuery.getDistanceFunction();
if (!this.getDistanceFunction().equals(distanceFunction)) {
if (getLogger().isDebugging()) {
getLogger().debug("Distance function not supported by index - or 'equals' not implemented right!");
}
return null;
}
// Bulk is not yet supported
for (Object hint : hints) {
if (hint == DatabaseQuery.HINT_BULK) {
return null;
}
}
DistanceQuery<O, D> dq = distanceFunction.instantiate(relation);
return (KNNQuery<O, S>) MTreeQueryUtil.getKNNQuery(this, dq, hints);
}
@SuppressWarnings("unchecked")
@Override
public <S extends Distance<S>> RangeQuery<O, S> getRangeQuery(DistanceQuery<O, S> distanceQuery, Object... hints) {
// Query on the relation we index
if (distanceQuery.getRelation() != relation) {
return null;
}
DistanceFunction<? super O, D> distanceFunction = (DistanceFunction<? super O, D>) distanceQuery.getDistanceFunction();
if (!this.getDistanceFunction().equals(distanceFunction)) {
if (getLogger().isDebugging()) {
getLogger().debug("Distance function not supported by index - or 'equals' not implemented right!");
}
return null;
}
// Bulk is not yet supported
for (Object hint : hints) {
if (hint == DatabaseQuery.HINT_BULK) {
return null;
}
}
DistanceQuery<O, D> dq = distanceFunction.instantiate(relation);
return (RangeQuery<O, S>) MTreeQueryUtil.getRangeQuery(this, dq, hints);
}
@SuppressWarnings("unchecked")
@Override
public <S extends Distance<S>> RKNNQuery<O, S> getRKNNQuery(DistanceQuery<O, S> distanceQuery, Object... hints) {
DistanceFunction<? super O, D> distanceFunction = (DistanceFunction<? super O, D>) distanceQuery.getDistanceFunction();
if (!this.getDistanceFunction().equals(distanceFunction)) {
if (getLogger().isDebugging()) {
getLogger().debug("Distance function not supported by index - or 'equals' not implemented right!");
}
return null;
}
// Bulk is not yet supported
for (Object hint : hints) {
if (hint == DatabaseQuery.HINT_BULK) {
return null;
}
}
DistanceQuery<O, D> dq = distanceFunction.instantiate(relation);
return (RKNNQuery<O, S>) new MkTreeRKNNQuery<>(this, dq);
}
@Override
public String getLongName() {
return "MkApp-Tree";
}
@Override
public String getShortName() {
return "mkapptree";
}
}
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