// 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.kelondroAbstractOrder; import de.anomic.kelondro.kelondroBitfield; import de.anomic.kelondro.kelondroMScoreCluster; import de.anomic.kelondro.kelondroOrder; import de.anomic.plasma.plasmaCondenser; import de.anomic.plasma.plasmaSearchRankingProcess; import de.anomic.plasma.plasmaSearchRankingProfile; import de.anomic.yacy.yacyURL; public class indexRWIEntryOrder extends kelondroAbstractOrder implements kelondroOrder { private indexRWIVarEntry min, max; private plasmaSearchRankingProfile ranking; private kelondroMScoreCluster doms; // collected for "authority" heuristic private int maxdomcount; private static final int processors = Runtime.getRuntime().availableProcessors(); // for multiprocessor support, used during normalization public indexRWIEntryOrder(plasmaSearchRankingProfile profile) { this.min = null; this.max = null; this.ranking = profile; this.doms = new kelondroMScoreCluster(); this.maxdomcount = 0; } public ArrayList normalizeWith(indexContainer container) { // normalize ranking: find minimum and maxiumum of separate ranking criteria assert (container != null); ArrayList result = null; //long s0 = System.currentTimeMillis(); if ((processors > 1) && (container.size() > 600)) { // run minmax with two threads int middle = container.size() / 2; minmaxfinder mmf0 = new minmaxfinder(container, 0, middle); mmf0.start(); // fork here minmaxfinder mmf1 = new minmaxfinder(container, middle, container.size()); mmf1.run(); // execute other fork in this thread if (this.min == null) this.min = mmf1.entryMin; else indexRWIVarEntry.min(this.min, mmf1.entryMin); if (this.max == null) this.max = mmf1.entryMax; else indexRWIVarEntry.max(this.max, mmf1.entryMax); Map.Entry entry; Iterator> di = mmf1.domcount().entrySet().iterator(); while (di.hasNext()) { entry = di.next(); this.doms.addScore(entry.getKey(), ((Integer) entry.getValue()).intValue()); } try {mmf0.join();} catch (InterruptedException e) {} // wait for fork thread to finish if (this.min == null) this.min = mmf0.entryMin; else indexRWIVarEntry.min(this.min, mmf0.entryMin); if (this.max == null) this.max = mmf0.entryMax; else indexRWIVarEntry.max(this.max, mmf0.entryMax); di = mmf0.domcount().entrySet().iterator(); while (di.hasNext()) { entry = di.next(); this.doms.addScore(entry.getKey(), ((Integer) entry.getValue()).intValue()); } result = mmf0.decodedEntries; 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 minmaxfinder mmf = new minmaxfinder(container, 0, container.size()); mmf.run(); // execute without multi-threading if (this.min == null) this.min = mmf.entryMin; else indexRWIVarEntry.min(this.min, mmf.entryMin); if (this.max == null) this.max = mmf.entryMax; else indexRWIVarEntry.max(this.max, mmf.entryMax); Map.Entry entry; Iterator> di = mmf.domcount().entrySet().iterator(); while (di.hasNext()) { entry = di.next(); this.doms.addScore(entry.getKey(), ((Integer) 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 kelondroOrder clone() { return null; } public int authority(String urlHash) { return (doms.getScore(urlHash.substring(6)) << 8) / (1 + this.maxdomcount); } public long cardinal(byte[] key) { return cardinal(new indexRWIVarEntry(new indexRWIRowEntry(key))); } public long cardinal(indexRWIRowEntry t) { return cardinal(new indexRWIVarEntry(t)); } public long cardinal(indexRWIVarEntry t) { //return Long.MAX_VALUE - preRanking(ranking, iEntry, this.entryMin, this.entryMax, this.searchWords); // the normalizedEntry must be a normalized indexEntry kelondroBitfield flags = t.flags(); long r = ((256 - yacyURL.domLengthNormalized(t.urlHash())) << ranking.coeff_domlength) + ((256 - (plasmaSearchRankingProcess.ybr(t.urlHash()) << 4)) << ranking.coeff_ybr) + ((t.urlcomps() == 0) ? 0 : ((256 - (((t.urlcomps() - min.urlcomps() ) << 8) / (1 + max.urlcomps() - min.urlcomps()) )) << ranking.coeff_urlcomps)) + ((t.urllength() == 0) ? 0 : ((256 - (((t.urllength() - min.urllength() ) << 8) / (1 + max.urllength() - min.urllength()) )) << ranking.coeff_urllength)) + ((t.posintext() == 0) ? 0 : ((256 - (((t.posintext() - min.posintext() ) << 8) / (1 + max.posintext() - min.posintext()) )) << ranking.coeff_posintext)) + ((t.posofphrase() == 0) ? 0 : ((256 - (((t.posofphrase() - min.posofphrase() ) << 8) / (1 + max.posofphrase() - min.posofphrase()) )) << ranking.coeff_posofphrase)) + ((t.posinphrase() == 0) ? 0 : ((256 - (((t.posinphrase() - min.posinphrase() ) << 8) / (1 + max.posinphrase() - min.posinphrase()) )) << ranking.coeff_posinphrase)) + ((256 - (((t.worddistance() - min.worddistance() ) << 8) / (1 + max.worddistance() - min.worddistance()) )) << ranking.coeff_worddistance) + ( (((t.virtualAge() - min.virtualAge() ) << 8) / (1 + max.virtualAge() - min.virtualAge()) ) << ranking.coeff_date) + ( (((t.wordsintitle() - min.wordsintitle() ) << 8) / (1 + max.wordsintitle() - min.wordsintitle()) ) << ranking.coeff_wordsintitle) + ( (((t.wordsintext() - min.wordsintext() ) << 8) / (1 + max.wordsintext() - min.wordsintext()) ) << ranking.coeff_wordsintext) + ( (((t.phrasesintext()- min.phrasesintext() ) << 8) / (1 + max.phrasesintext()- min.phrasesintext()) ) << ranking.coeff_phrasesintext) + ( (((t.llocal() - min.llocal() ) << 8) / (1 + max.llocal() - min.llocal()) ) << ranking.coeff_llocal) + ( (((t.lother() - min.lother() ) << 8) / (1 + max.lother() - min.lother()) ) << ranking.coeff_lother) + ( (((t.hitcount() - min.hitcount() ) << 8) / (1 + max.hitcount() - min.hitcount()) ) << ranking.coeff_hitcount) + (((int)((((t.termFrequency()- min.termFrequency() )*256.0)/ (1 + max.termFrequency()- min.termFrequency()))))<< ranking.coeff_termfrequency) + ( authority(t.urlHash()) << ranking.coeff_authority) + (((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 int compare(indexRWIVarEntry a, indexRWIVarEntry b) { long ca = cardinal(a); long cb = cardinal(b); return (ca > cb) ? 1 : (ca < cb) ? -1 : 0; } public String signature() { return "rx"; } public boolean wellformed(indexRWIVarEntry a) { return true; } public static class minmaxfinder extends Thread { private indexRWIVarEntry entryMin, entryMax; private indexContainer container; private int start, end; private HashMap doms; private Integer int1; ArrayList decodedEntries; public minmaxfinder(indexContainer container, int start /*including*/, int end /*excluding*/) { this.container = container; this.start = start; this.end = end; this.doms = new HashMap(); this.int1 = new Integer(1); this.decodedEntries = new ArrayList(); } 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++))); this.decodedEntries.add(iEntry); // find min/max if (this.entryMin == null) this.entryMin = new indexRWIVarEntry(iEntry); else indexRWIVarEntry.min(this.entryMin, iEntry); if (this.entryMax == null) this.entryMax = new indexRWIVarEntry(iEntry); else indexRWIVarEntry.max(this.entryMax, iEntry); // update domcount dom = iEntry.urlHash().substring(6); count = (Integer) doms.get(dom); if (count == null) { doms.put(dom, int1); } else { doms.put(dom, new Integer(count.intValue() + 1)); } } } public ArrayList decodedContainer() { return this.decodedEntries; } public HashMap domcount() { return this.doms; } } }