yacy_search_server/source/de/anomic/index/indexRWIEntryOrder.java
danielr 3bb870bfcd added final where possible
git-svn-id: https://svn.berlios.de/svnroot/repos/yacy/trunk@5030 6c8d7289-2bf4-0310-a012-ef5d649a1542
2008-08-02 12:12:04 +00:00

208 lines
12 KiB
Java

// indexRWIEntryOrder.java
// (C) 2007 by Michael Peter Christen; mc@yacy.net, Frankfurt a. M., Germany
// first published 07.11.2007 on http://yacy.net
//
// This is a part of YaCy, a peer-to-peer based web search engine
//
// $LastChangedDate: 2006-04-02 22:40:07 +0200 (So, 02 Apr 2006) $
// $LastChangedRevision: 1986 $
// $LastChangedBy: orbiter $
//
// LICENSE
//
// This program is free software; you can redistribute it and/or modify
// it under the terms of the GNU General Public License as published by
// the Free Software Foundation; either version 2 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 General Public License for more details.
//
// You should have received a copy of the GNU General Public License
// along with this program; if not, write to the Free Software
// Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA
package de.anomic.index;
import java.util.ArrayList;
import java.util.HashMap;
import java.util.Iterator;
import java.util.Map;
import de.anomic.kelondro.kelondroBitfield;
import de.anomic.kelondro.kelondroMScoreCluster;
import de.anomic.plasma.plasmaCondenser;
import de.anomic.plasma.plasmaSearchRankingProcess;
import de.anomic.plasma.plasmaSearchRankingProfile;
import de.anomic.server.serverProcessor;
import de.anomic.yacy.yacyURL;
public class indexRWIEntryOrder {
private indexRWIVarEntry min, max;
private final plasmaSearchRankingProfile ranking;
private final kelondroMScoreCluster<String> doms; // collected for "authority" heuristic
private int maxdomcount;
public indexRWIEntryOrder(final plasmaSearchRankingProfile profile) {
this.min = null;
this.max = null;
this.ranking = profile;
this.doms = new kelondroMScoreCluster<String>();
this.maxdomcount = 0;
}
public ArrayList<indexRWIVarEntry> normalizeWith(final indexContainer container) {
// normalize ranking: find minimum and maxiumum of separate ranking criteria
assert (container != null);
ArrayList<indexRWIVarEntry> result = null;
//long s0 = System.currentTimeMillis();
if ((serverProcessor.useCPU > 1) && (container.size() > 600)) {
// run minmax with two threads
final int middle = container.size() / 2;
final minmaxfinder mmf0 = new minmaxfinder(container, 0, middle);
mmf0.start(); // fork here
final minmaxfinder mmf1 = new minmaxfinder(container, middle, container.size());
mmf1.run(); // execute other fork in this thread
if (this.min == null) this.min = mmf1.entryMin.clone(); else this.min.min(mmf1.entryMin);
if (this.max == null) this.max = mmf1.entryMax.clone(); else this.max.max(mmf1.entryMax);
Map.Entry<String, Integer> entry;
Iterator<Map.Entry<String, Integer>> di = mmf1.domcount().entrySet().iterator();
while (di.hasNext()) {
entry = di.next();
this.doms.addScore(entry.getKey(), (entry.getValue()).intValue());
}
try {mmf0.join();} catch (final InterruptedException e) {} // wait for fork thread to finish
if (this.min == null) this.min = mmf0.entryMin.clone(); else this.min.min(mmf0.entryMin);
if (this.max == null) this.max = mmf0.entryMax.clone(); else this.max.max(mmf0.entryMax);
di = mmf0.domcount().entrySet().iterator();
while (di.hasNext()) {
entry = di.next();
this.doms.addScore(entry.getKey(), (entry.getValue()).intValue());
}
result = mmf0.decodedContainer();
result.addAll(mmf1.decodedContainer());
//long s1= System.currentTimeMillis(), sc = Math.max(1, s1 - s0);
//System.out.println("***DEBUG*** indexRWIEntry.Order (2-THREADED): " + sc + " milliseconds for " + container.size() + " entries, " + (container.size() / sc) + " entries/millisecond");
} else if (container.size() > 0) {
// run minmax in one thread
final minmaxfinder mmf = new minmaxfinder(container, 0, container.size());
mmf.run(); // execute without multi-threading
if (this.min == null) this.min = mmf.entryMin.clone(); else this.min.min(mmf.entryMin);
if (this.max == null) this.max = mmf.entryMax.clone(); else this.max.max(mmf.entryMax);
Map.Entry<String, Integer> entry;
final Iterator<Map.Entry<String, Integer>> di = mmf.domcount().entrySet().iterator();
while (di.hasNext()) {
entry = di.next();
this.doms.addScore(entry.getKey(), (entry.getValue()).intValue());
}
result = mmf.decodedContainer();
//long s1= System.currentTimeMillis(), sc = Math.max(1, s1 - s0);
//System.out.println("***DEBUG*** indexRWIEntry.Order (ONETHREAD): " + sc + " milliseconds for " + container.size() + " entries, " + (container.size() / sc) + " entries/millisecond");
}
if (this.doms.size() > 0) this.maxdomcount = this.doms.getMaxScore();
return result;
}
public int authority(final String urlHash) {
return (doms.getScore(urlHash.substring(6)) << 8) / (1 + this.maxdomcount);
}
public long cardinal(final indexRWIVarEntry t) {
//return Long.MAX_VALUE - preRanking(ranking, iEntry, this.entryMin, this.entryMax, this.searchWords);
// the normalizedEntry must be a normalized indexEntry
final kelondroBitfield flags = t.flags();
final long tf = ((max.termFrequency() == min.termFrequency()) ? 0 : (((int)(((t.termFrequency()-min.termFrequency())*256.0)/(max.termFrequency() - min.termFrequency())))) << ranking.coeff_termfrequency);
//System.out.println("tf(" + t.urlHash + ") = " + Math.floor(1000 * t.termFrequency()) + ", min = " + Math.floor(1000 * min.termFrequency()) + ", max = " + Math.floor(1000 * max.termFrequency()) + ", tf-normed = " + tf);
final long r =
((256 - yacyURL.domLengthNormalized(t.urlHash())) << ranking.coeff_domlength)
+ ((ranking.coeff_ybr > 12) ? ((256 - (plasmaSearchRankingProcess.ybr(t.urlHash()) << 4)) << ranking.coeff_ybr) : 0)
+ ((max.urlcomps() == min.urlcomps() ) ? 0 : (256 - (((t.urlcomps() - min.urlcomps() ) << 8) / (max.urlcomps() - min.urlcomps()) )) << ranking.coeff_urlcomps)
+ ((max.urllength() == min.urllength() ) ? 0 : (256 - (((t.urllength() - min.urllength() ) << 8) / (max.urllength() - min.urllength()) )) << ranking.coeff_urllength)
+ ((max.posintext() == min.posintext() ) ? 0 : (256 - (((t.posintext() - min.posintext() ) << 8) / (max.posintext() - min.posintext()) )) << ranking.coeff_posintext)
+ ((max.posofphrase() == min.posofphrase()) ? 0 : (256 - (((t.posofphrase() - min.posofphrase() ) << 8) / (max.posofphrase() - min.posofphrase()) )) << ranking.coeff_posofphrase)
+ ((max.posinphrase() == min.posinphrase()) ? 0 : (256 - (((t.posinphrase() - min.posinphrase() ) << 8) / (max.posinphrase() - min.posinphrase()) )) << ranking.coeff_posinphrase)
+ ((max.worddistance() == min.worddistance()) ? 0 : (256 - (((t.worddistance() - min.worddistance() ) << 8) / (max.worddistance() - min.worddistance()) )) << ranking.coeff_worddistance)
+ ((max.virtualAge() == min.virtualAge()) ? 0 : (((t.virtualAge() - min.virtualAge() ) << 8) / (max.virtualAge() - min.virtualAge()) ) << ranking.coeff_date)
+ ((max.wordsintitle() == min.wordsintitle()) ? 0 : (((t.wordsintitle() - min.wordsintitle() ) << 8) / (max.wordsintitle() - min.wordsintitle()) ) << ranking.coeff_wordsintitle)
+ ((max.wordsintext() == min.wordsintext()) ? 0 : (((t.wordsintext() - min.wordsintext() ) << 8) / (max.wordsintext() - min.wordsintext()) ) << ranking.coeff_wordsintext)
+ ((max.phrasesintext() == min.phrasesintext()) ? 0 : (((t.phrasesintext()- min.phrasesintext() ) << 8) / (max.phrasesintext()- min.phrasesintext()) ) << ranking.coeff_phrasesintext)
+ ((max.llocal() == min.llocal()) ? 0 : (((t.llocal() - min.llocal() ) << 8) / (max.llocal() - min.llocal()) ) << ranking.coeff_llocal)
+ ((max.lother() == min.lother()) ? 0 : (((t.lother() - min.lother() ) << 8) / (max.lother() - min.lother()) ) << ranking.coeff_lother)
+ ((max.hitcount() == min.hitcount()) ? 0 : (((t.hitcount() - min.hitcount() ) << 8) / (max.hitcount() - min.hitcount()) ) << ranking.coeff_hitcount)
+ tf
+ ((ranking.coeff_authority > 12) ? (authority(t.urlHash()) << ranking.coeff_authority) : 0)
+ (((flags.get(indexRWIEntry.flag_app_dc_identifier)) ? 255 << ranking.coeff_appurl : 0))
+ (((flags.get(indexRWIEntry.flag_app_dc_title)) ? 255 << ranking.coeff_app_dc_title : 0))
+ (((flags.get(indexRWIEntry.flag_app_dc_creator)) ? 255 << ranking.coeff_app_dc_creator : 0))
+ (((flags.get(indexRWIEntry.flag_app_dc_subject)) ? 255 << ranking.coeff_app_dc_subject : 0))
+ (((flags.get(indexRWIEntry.flag_app_dc_description)) ? 255 << ranking.coeff_app_dc_description : 0))
+ (((flags.get(indexRWIEntry.flag_app_emphasized)) ? 255 << ranking.coeff_appemph : 0))
+ (((flags.get(plasmaCondenser.flag_cat_indexof)) ? 255 << ranking.coeff_catindexof : 0))
+ (((flags.get(plasmaCondenser.flag_cat_hasimage)) ? 255 << ranking.coeff_cathasimage : 0))
+ (((flags.get(plasmaCondenser.flag_cat_hasaudio)) ? 255 << ranking.coeff_cathasaudio : 0))
+ (((flags.get(plasmaCondenser.flag_cat_hasvideo)) ? 255 << ranking.coeff_cathasvideo : 0))
+ (((flags.get(plasmaCondenser.flag_cat_hasapp)) ? 255 << ranking.coeff_cathasapp : 0))
+ (((yacyURL.probablyRootURL(t.urlHash())) ? 15 << ranking.coeff_urllength : 0));
//if (searchWords != null) r += (yacyURL.probablyWordURL(t.urlHash(), searchWords) != null) ? 256 << ranking.coeff_appurl : 0;
return Long.MAX_VALUE - r; // returns a reversed number: the lower the number the better the ranking. This is used for simple sorting with a TreeMap
}
public static class minmaxfinder extends Thread {
indexRWIVarEntry entryMin;
indexRWIVarEntry entryMax;
private final indexContainer container;
private final int start, end;
private final HashMap<String, Integer> doms;
private final Integer int1;
ArrayList<indexRWIVarEntry> decodedEntries;
public minmaxfinder(final indexContainer container, final int start /*including*/, final int end /*excluding*/) {
this.container = container;
this.start = start;
this.end = end;
this.doms = new HashMap<String, Integer>();
this.int1 = new Integer(1);
this.decodedEntries = new ArrayList<indexRWIVarEntry>();
}
public void run() {
// find min/max to obtain limits for normalization
this.entryMin = null;
this.entryMax = null;
indexRWIVarEntry iEntry;
int p = this.start;
String dom;
Integer count;
while (p < this.end) {
iEntry = new indexRWIVarEntry(new indexRWIRowEntry(container.get(p++, false)));
this.decodedEntries.add(iEntry);
// find min/max
if (this.entryMin == null) this.entryMin = iEntry.clone(); else this.entryMin.min(iEntry);
if (this.entryMax == null) this.entryMax = iEntry.clone(); else this.entryMax.max(iEntry);
// update domcount
dom = iEntry.urlHash().substring(6);
count = doms.get(dom);
if (count == null) {
doms.put(dom, int1);
} else {
doms.put(dom, new Integer(count.intValue() + 1));
}
}
}
public ArrayList<indexRWIVarEntry> decodedContainer() {
return this.decodedEntries;
}
public HashMap<String, Integer> domcount() {
return this.doms;
}
}
}