// indexTreeMapContainer.java // (C) 2005, 2006 by Michael Peter Christen; mc@anomic.de, Frankfurt a. M., Germany // first published 07.05.2005 on http://www.anomic.de // // 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 /* an indexContainer is a bag of indexEntries for a single word such an container represents a RWI snippet: it collects a new RWI until it is so big that it should be flushed to either - an indexAssortment: collection of indexContainers of same size or - the backend storage the creationTime is necessary to organize caching of containers */ package de.anomic.index; import java.util.ConcurrentModificationException; import java.util.Iterator; import java.util.Set; import java.util.TreeMap; import de.anomic.kelondro.kelondroBase64Order; import de.anomic.kelondro.kelondroNaturalOrder; import de.anomic.kelondro.kelondroOrder; public final class indexTreeMapContainer extends indexAbstractContainer implements indexContainer { private String wordHash; private final TreeMap container; // urlHash/plasmaWordIndexEntry - Mapping private long updateTime; private kelondroOrder ordering; private int order_column; public indexTreeMapContainer(String wordHash) { this(wordHash, new kelondroNaturalOrder(true), 0); } public indexTreeMapContainer(String wordHash, kelondroOrder ordering, int column) { this.wordHash = wordHash; this.updateTime = 0; this.ordering = ordering; this.order_column = column; container = new TreeMap(ordering); // a urlhash/plasmaWordIndexEntry - relation } public indexContainer topLevelClone() { indexContainer newContainer = new indexTreeMapContainer(this.wordHash, this.ordering, this.order_column); newContainer.add(this, -1); return newContainer; } public void setWordHash(String newWordHash) { // this is used to replicate a container for different word indexes during global search this.wordHash = newWordHash; } public void clear() { container.clear(); } public int size() { return container.size(); } public long updated() { return updateTime; } public void setOrdering(kelondroOrder newOrder, int newColumn) { this.ordering = newOrder; this.order_column = newColumn; } public kelondroOrder getOrdering() { return this.ordering; } public int getOrderColumn() { return this.order_column; } public String getWordHash() { return wordHash; } public int add(indexEntry entry) { return add(entry, System.currentTimeMillis()); } public int add(indexEntry entry, long updateTime) { this.updateTime = java.lang.Math.max(this.updateTime, updateTime); return (addi(entry)) ? 1 : 0; } public int add(indexEntry[] entries, long updateTime) { int c = 0; for (int i = 0; i < entries.length; i++) if (addi(entries[i])) c++; this.updateTime = java.lang.Math.max(this.updateTime, updateTime); return c; } public int add(indexContainer c, long maxTime) { // returns the number of new elements long startTime = System.currentTimeMillis(); if (c == null) return 0; int x = 0; synchronized (c) { Iterator i = c.entries(); while ((i.hasNext()) && ((maxTime < 0) || ((startTime + maxTime) > System.currentTimeMillis()))) { try { if (addi((indexEntry) i.next())) x++; } catch (ConcurrentModificationException e) {} } } this.updateTime = java.lang.Math.max(this.updateTime, c.updated()); return x; } private boolean addi(indexEntry entry) { // returns true if the new entry was added, false if it already existed indexEntry oldEntry = (indexEntry) container.put(entry.urlHash(), entry); if ((oldEntry != null) && (entry.isOlder(oldEntry))) { // A more recent Entry is already in this container container.put(entry.urlHash(), oldEntry); // put it back return false; } return (oldEntry == null); } public boolean contains(String urlHash) { return container.containsKey(urlHash); } public indexEntry get(String urlHash) { return (indexEntry) container.get(urlHash); } public indexEntry[] getEntryArray() { return (indexEntry[]) container.values().toArray(); } public indexEntry remove(String urlHash) { return (indexEntry) container.remove(urlHash); } public boolean removeEntry(String wordHash, String urlHash, boolean deleteComplete) { if (!wordHash.equals(this.wordHash)) return false; return remove(urlHash) != null; } public int removeEntries(String wordHash, Set urlHashes, boolean deleteComplete) { if (!wordHash.equals(this.wordHash)) return 0; int count = 0; Iterator i = urlHashes.iterator(); while (i.hasNext()) count += (remove((String) i.next()) == null) ? 0 : 1; return count; } public Iterator entries() { // returns an iterator of indexEntry objects return container.values().iterator(); } public String toString() { return "C[" + wordHash + "] has " + container.size() + " entries"; } public int hashCode() { return (int) kelondroBase64Order.enhancedCoder.decodeLong(this.wordHash.substring(0, 4)); } public static indexContainer joinContainer(Set containers, long time, int maxDistance) { long stamp = System.currentTimeMillis(); // order entities by their size TreeMap map = new TreeMap(); indexTreeMapContainer singleContainer; Iterator i = containers.iterator(); int count = 0; while (i.hasNext()) { // get next entity: singleContainer = (indexTreeMapContainer) i.next(); // check result if ((singleContainer == null) || (singleContainer.size() == 0)) return new indexTreeMapContainer(null); // as this is a cunjunction of searches, we have no result if any word is not known // store result in order of result size map.put(new Long(singleContainer.size() * 1000 + count), singleContainer); count++; } // check if there is any result if (map.size() == 0) return new indexTreeMapContainer(null); // no result, nothing found // the map now holds the search results in order of number of hits per word // we now must pairwise build up a conjunction of these sets Long k = (Long) map.firstKey(); // the smallest, which means, the one with the least entries indexContainer searchA, searchB, searchResult = (indexContainer) map.remove(k); while ((map.size() > 0) && (searchResult.size() > 0)) { // take the first element of map which is a result and combine it with result k = (Long) map.firstKey(); // the next smallest... time -= (System.currentTimeMillis() - stamp); stamp = System.currentTimeMillis(); searchA = searchResult; searchB = (indexContainer) map.remove(k); searchResult = indexTreeMapContainer.joinConstructive(searchA, searchB, 2 * time / (map.size() + 1), maxDistance); // free resources searchA = null; searchB = null; } // in 'searchResult' is now the combined search result if (searchResult.size() == 0) return new indexTreeMapContainer(null); return searchResult; } // join methods private static int log2(int x) { int l = 0; while (x > 0) {x = x >> 1; l++;} return l; } public static indexContainer joinConstructive(indexContainer i1, indexContainer i2, long time, int maxDistance) { if ((i1 == null) || (i2 == null)) return null; if ((i1.size() == 0) || (i2.size() == 0)) return new indexTreeMapContainer(null); // decide which method to use int high = ((i1.size() > i2.size()) ? i1.size() : i2.size()); int low = ((i1.size() > i2.size()) ? i2.size() : i1.size()); int stepsEnum = 10 * (high + low - 1); int stepsTest = 12 * log2(high) * low; // start most efficient method if (stepsEnum > stepsTest) { if (i1.size() < i2.size()) return joinConstructiveByTest(i1, i2, time, maxDistance); else return joinConstructiveByTest(i2, i1, time, maxDistance); } else { return joinConstructiveByEnumeration(i1, i2, time, maxDistance); } } private static indexContainer joinConstructiveByTest(indexContainer small, indexContainer large, long time, int maxDistance) { System.out.println("DEBUG: JOIN METHOD BY TEST"); indexTreeMapContainer conj = new indexTreeMapContainer(null); // start with empty search result Iterator se = small.entries(); indexEntry ie0, ie1; long stamp = System.currentTimeMillis(); while ((se.hasNext()) && ((System.currentTimeMillis() - stamp) < time)) { ie0 = (indexEntry) se.next(); ie1 = large.get(ie0.urlHash()); if (ie1 != null) { // this is a hit. Calculate word distance: ie0.combineDistance(ie1); if (ie0.worddistance() <= maxDistance) conj.add(ie0); } } return conj; } private static indexContainer joinConstructiveByEnumeration(indexContainer i1, indexContainer i2, long time, int maxDistance) { System.out.println("DEBUG: JOIN METHOD BY ENUMERATION"); indexTreeMapContainer conj = new indexTreeMapContainer(null); // start with empty search result if (!((i1.getOrdering().signature().equals(i2.getOrdering().signature())) && (i1.getOrderColumn() == i2.getOrderColumn()))) return conj; // ordering must be equal Iterator e1 = i1.entries(); Iterator e2 = i2.entries(); int c; if ((e1.hasNext()) && (e2.hasNext())) { indexEntry ie1; indexEntry ie2; ie1 = (indexEntry) e1.next(); ie2 = (indexEntry) e2.next(); long stamp = System.currentTimeMillis(); while ((System.currentTimeMillis() - stamp) < time) { c = i1.getOrdering().compare(ie1.urlHash(), ie2.urlHash()); //System.out.println("** '" + ie1.getUrlHash() + "'.compareTo('" + ie2.getUrlHash() + "')="+c); if (c < 0) { if (e1.hasNext()) ie1 = (indexEntry) e1.next(); else break; } else if (c > 0) { if (e2.hasNext()) ie2 = (indexEntry) e2.next(); else break; } else { // we have found the same urls in different searches! ie1.combineDistance(ie2); if (ie1.worddistance() <= maxDistance) conj.add(ie1); if (e1.hasNext()) ie1 = (indexEntry) e1.next(); else break; if (e2.hasNext()) ie2 = (indexEntry) e2.next(); else break; } } } return conj; } public Set urlHashes() { return container.keySet(); } }