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586 lines
25 KiB
586 lines
25 KiB
// plasmaWordIndexCache.java
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// -------------------------
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// part of YACY
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// (C) by Michael Peter Christen; mc@anomic.de
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// first published on http://www.anomic.de
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// Frankfurt, Germany, 2005
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// last major change: 6.5.2005
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//
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// This program is free software; you can redistribute it and/or modify
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// it under the terms of the GNU General Public License as published by
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// the Free Software Foundation; either version 2 of the License, or
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// (at your option) any later version.
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//
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// This program is distributed in the hope that it will be useful,
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// but WITHOUT ANY WARRANTY; without even the implied warranty of
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// MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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// GNU General Public License for more details.
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//
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// You should have received a copy of the GNU General Public License
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// along with this program; if not, write to the Free Software
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// Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA
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//
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// Using this software in any meaning (reading, learning, copying, compiling,
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// running) means that you agree that the Author(s) is (are) not responsible
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// for cost, loss of data or any harm that may be caused directly or indirectly
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// by usage of this softare or this documentation. The usage of this software
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// is on your own risk. The installation and usage (starting/running) of this
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// software may allow other people or application to access your computer and
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// any attached devices and is highly dependent on the configuration of the
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// software which must be done by the user of the software; the author(s) is
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// (are) also not responsible for proper configuration and usage of the
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// software, even if provoked by documentation provided together with
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// the software.
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//
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// Any changes to this file according to the GPL as documented in the file
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// gpl.txt aside this file in the shipment you received can be done to the
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// lines that follows this copyright notice here, but changes must not be
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// done inside the copyright notive above. A re-distribution must contain
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// the intact and unchanged copyright notice.
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// Contributions and changes to the program code must be marked as such.
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package de.anomic.plasma;
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import java.io.*;
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import java.util.*;
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import java.lang.RuntimeException;
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import de.anomic.kelondro.*;
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import de.anomic.server.logging.serverLog;
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import de.anomic.yacy.yacySeedDB;
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public final class plasmaWordIndexCache implements plasmaWordIndexInterface {
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// environment constants
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private static final String indexDumpFileName = "indexDump0.stack";
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private static final String oldSingletonFileName = "indexSingletons0.db";
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private static final String newSingletonFileName = "indexAssortment001.db";
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private static final String indexAssortmentClusterPath = "ACLUSTER";
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private static final int assortmentLimit = 50;
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private static final int ramcacheLimit = 51;
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// class variables
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private File databaseRoot;
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private plasmaWordIndexInterface backend;
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private TreeMap cache;
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private kelondroMScoreCluster hashScore;
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private kelondroMScoreCluster hashDate;
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private long startTime;
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private int maxWords;
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private serverLog log;
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private plasmaWordIndexAssortmentCluster assortmentCluster;
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private int assortmentBufferSize; //kb
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private flush flushThread;
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// calculated constants
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private static String minKey, maxKey;
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static {
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maxKey = "";
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for (int i = 0; i < yacySeedDB.commonHashLength; i++) maxKey += 'z';
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minKey = "";
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for (int i = 0; i < yacySeedDB.commonHashLength; i++) maxKey += '-';
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}
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public plasmaWordIndexCache(File databaseRoot, plasmaWordIndexInterface backend, int assortmentbufferkb, serverLog log) {
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// migrate#1
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File oldSingletonFile = new File(databaseRoot, oldSingletonFileName);
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File newSingletonFile = new File(databaseRoot, newSingletonFileName);
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if ((oldSingletonFile.exists()) && (!(newSingletonFile.exists()))) oldSingletonFile.renameTo(newSingletonFile);
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// create new assortment cluster path
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File assortmentClusterPath = new File(databaseRoot, indexAssortmentClusterPath);
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if (!(assortmentClusterPath.exists())) assortmentClusterPath.mkdirs();
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// migrate#2
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File acSingletonFile = new File(assortmentClusterPath, newSingletonFileName);
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if ((newSingletonFile.exists()) && (!(acSingletonFile.exists()))) newSingletonFile.renameTo(acSingletonFile);
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// create flushing thread
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flushThread = new flush();
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// creates a new index cache
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// the cache has a back-end where indexes that do not fit in the cache are flushed
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this.databaseRoot = databaseRoot;
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this.assortmentBufferSize = assortmentbufferkb;
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this.cache = new TreeMap();
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this.hashScore = new kelondroMScoreCluster();
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this.hashDate = new kelondroMScoreCluster();
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this.startTime = System.currentTimeMillis();
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this.maxWords = 10000;
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this.backend = backend;
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this.log = log;
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this.assortmentCluster = new plasmaWordIndexAssortmentCluster(assortmentClusterPath, assortmentLimit, assortmentBufferSize, log);
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// read in dump of last session
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try {
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restore();
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} catch (IOException e){
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log.logError("unable to restore cache dump: " + e.getMessage());
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e.printStackTrace();
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}
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// start permanent flushing
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flushThread.start();
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}
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private void dump(int waitingSeconds) throws IOException {
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log.logSystem("creating dump for index cache, " + cache.size() + " words (and much more urls)");
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File indexDumpFile = new File(databaseRoot, indexDumpFileName);
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if (indexDumpFile.exists()) indexDumpFile.delete();
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kelondroStack dumpStack = new kelondroStack(indexDumpFile, 1024, plasmaWordIndexAssortment.bufferStructureBasis);
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long startTime = System.currentTimeMillis();
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long messageTime = System.currentTimeMillis() + 5000;
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long wordsPerSecond = 0, wordcount = 0, urlcount = 0;
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synchronized (cache) {
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Iterator i = cache.entrySet().iterator();
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Map.Entry entry;
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String wordHash;
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plasmaWordIndexEntryContainer container;
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long updateTime;
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plasmaWordIndexEntry wordEntry;
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byte[][] row = new byte[5][];
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while (i.hasNext()) {
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// get entries
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entry = (Map.Entry) i.next();
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wordHash = (String) entry.getKey();
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updateTime = getUpdateTime(wordHash);
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container = (plasmaWordIndexEntryContainer) entry.getValue();
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// put entries on stack
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if (container != null) {
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Iterator ci = container.entries();
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while (ci.hasNext()) {
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wordEntry = (plasmaWordIndexEntry) ci.next();
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row[0] = wordHash.getBytes();
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row[1] = kelondroRecords.long2bytes(container.size(), 4);
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row[2] = kelondroRecords.long2bytes(updateTime, 8);
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row[3] = wordEntry.getUrlHash().getBytes();
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row[4] = wordEntry.toEncodedForm(true).getBytes();
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dumpStack.push(row);
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urlcount++;
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}
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}
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wordcount++;
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// write a log
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if (System.currentTimeMillis() > messageTime) {
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wordsPerSecond = wordcount * 1000 / (1 + System.currentTimeMillis() - startTime);
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log.logInfo("dumping status: " + wordcount + " words done, " + ((cache.size() - wordcount) / wordsPerSecond) + " seconds remaining");
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messageTime = System.currentTimeMillis() + 5000;
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}
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}
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}
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dumpStack.close();
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log.logSystem("dumped " + urlcount + " word/url relations in " + ((System.currentTimeMillis() - startTime) / 1000) + " seconds");
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}
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private long restore() throws IOException {
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File indexDumpFile = new File(databaseRoot, indexDumpFileName);
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if (!(indexDumpFile.exists())) return 0;
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kelondroStack dumpStack = new kelondroStack(indexDumpFile, 1024);
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log.logSystem("restore dump of index cache, " + dumpStack.size() + " word/url relations");
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long startTime = System.currentTimeMillis();
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long messageTime = System.currentTimeMillis() + 5000;
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long urlCount = 0, urlsPerSecond = 0;
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synchronized (cache) {
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Iterator i = dumpStack.iterator();
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kelondroRecords.Node node;
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String wordHash;
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plasmaWordIndexEntryContainer container;
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long creationTime;
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plasmaWordIndexEntry wordEntry;
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byte[][] row;
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while (i.hasNext()) {
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// get out one entry
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node = (kelondroRecords.Node) i.next();
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row = node.getValues();
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wordHash = new String(row[0]);
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creationTime = kelondroRecords.bytes2long(row[2]);
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wordEntry = new plasmaWordIndexEntry(new String(row[3]), new String(row[4]));
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// store to cache
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addEntry(wordHash, wordEntry, creationTime);
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urlCount++;
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// write a log
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if (System.currentTimeMillis() > messageTime) {
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urlsPerSecond = 1 + urlCount * 1000 / (1 + System.currentTimeMillis() - startTime);
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log.logInfo("restoring status: " + urlCount + " urls done, " + ((dumpStack.size() - urlCount) / urlsPerSecond) + " seconds remaining");
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messageTime = System.currentTimeMillis() + 5000;
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}
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}
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}
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dumpStack.close();
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log.logSystem("restored " + cache.size() + " words in " + ((System.currentTimeMillis() - startTime) / 1000) + " seconds");
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return urlCount;
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}
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// cache settings
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public int maxURLinWordCache() {
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return hashScore.getScore(hashScore.getMaxObject());
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}
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public int wordCacheRAMSize() {
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return cache.size();
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}
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public void setMaxWords(int maxWords) {
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this.maxWords = maxWords;
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}
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public int[] assortmentsSizes() {
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return assortmentCluster.sizes();
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}
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public int size() {
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return java.lang.Math.max(assortmentCluster.sizeTotal(), java.lang.Math.max(backend.size(), cache.size()));
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}
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public Iterator wordHashes(String startWordHash, boolean up) {
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// here we merge 3 databases into one view:
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// - the RAM Cache
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// - the assortmentCluster File Cache
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// - the backend
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if (!(up)) throw new RuntimeException("plasmaWordIndexCache.wordHashes can only count up");
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return new kelondroMergeIterator(
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new kelondroMergeIterator(
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cache.keySet().iterator(),
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assortmentCluster.hashConjunction(startWordHash, true),
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true),
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backend.wordHashes(startWordHash, true),
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true);
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}
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private class flush extends Thread {
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boolean terminate, pause;
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public flush() {
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terminate = false;
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pause = false;
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}
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public void run() {
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String nextHash;
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while (!terminate) {
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if (pause) {
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try {this.sleep(300);} catch (InterruptedException e) {}
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} else {
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flushFromMem();
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try {this.sleep(10 + java.lang.Math.min(1000, 10 * maxWords/(cache.size() + 1)));} catch (InterruptedException e) {}
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}
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}
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}
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public void pause() {
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pause = true;
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}
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public void proceed() {
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pause = false;
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}
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public void terminate() {
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terminate = true;
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}
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}
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private void flushFromMem() {
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// select appropriate hash
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// we have 2 different methods to find a good hash:
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// - the oldest entry in the cache
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// - the entry with maximum count
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if (cache.size() == 0) return;
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flushThread.pause();
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try {
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int count = hashScore.getMaxScore();
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String hash = (String) hashScore.getMaxObject();
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long time = (hash == null) ? System.currentTimeMillis() : longTime(hashDate.getScore(hash));
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if ((count > ramcacheLimit) && (System.currentTimeMillis() - time > 10000)) {
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// flush high-score entries
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flushFromMem(hash, true);
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} else {
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// flush oldest entries
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hash = (String) hashDate.getMinObject();
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flushFromMem(hash, true);
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}
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} catch (Exception e) {
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log.logError("flushFromMem: " + e.getMessage());
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e.printStackTrace();
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}
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flushThread.proceed();
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}
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private int flushFromMem(String key, boolean reintegrate) {
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// this method flushes indexes out from the ram to the disc.
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// at first we check the singleton database and act accordingly
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// if we we are to flush an index, but see also an entry in the singletons, we
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// decide upn the 'reintegrate'-Flag:
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// true: do not flush to disc, but re-Integrate the singleton to the RAM
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// false: flush the singleton together with container to disc
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plasmaWordIndexEntryContainer container = null;
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long time;
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synchronized (cache) {
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// get the container
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container = (plasmaWordIndexEntryContainer) cache.get(key);
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if (container == null) return 0; // flushing of nonexisting key
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time = getUpdateTime(key);
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// remove it from the cache
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cache.remove(key);
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hashScore.deleteScore(key);
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hashDate.deleteScore(key);
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}
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// now decide where to flush that container
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plasmaWordIndexEntryContainer flushedFromAssortment = assortmentCluster.removeFromAll(key);
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if ((flushedFromAssortment == null) || (flushedFromAssortment.size() == 0)) {
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// not found in assortments
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if (container.size() <= assortmentLimit) {
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// this fits into the assortments
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plasmaWordIndexEntryContainer feedback = assortmentCluster.storeTry(key, container);
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if (feedback == null) {
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return container.size();
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} else {
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// *** should care about another option here ***
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return backend.addEntries(feedback, time);
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}
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} else {
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// store to back-end; this should be a rare case
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return backend.addEntries(container, time);
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}
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} else {
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// we have some records and must integrate them into the flush
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container.add(flushedFromAssortment);
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// possibly reintegrate
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if (reintegrate) {
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// put assortmentRecord together with container back to ram
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synchronized (cache) {
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cache.put(key, container);
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hashScore.setScore(key, container.size());
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hashDate.setScore(key, intTime(time));
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}
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return -flushedFromAssortment.size();
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} else {
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// add this to the backend
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return backend.addEntries(container, java.lang.Math.max(time, flushedFromAssortment.updated())) - flushedFromAssortment.size();
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}
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}
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}
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private int intTime(long longTime) {
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return (int) ((longTime - startTime) / 1000);
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}
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private long longTime(int intTime) {
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return ((long) intTime) * ((long) 1000) + startTime;
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}
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private boolean flushFromAssortmentCluster(String key) {
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// this should only be called if the singleton shall be deleted or returned in an index entity
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plasmaWordIndexEntryContainer container = assortmentCluster.removeFromAll(key);
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if (container == null) {
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return false;
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} else {
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// we have a non-empty entry-container
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// integrate it to the backend
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return backend.addEntries(container, container.updated()) > 0;
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}
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}
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/*
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private synchronized int flushFromMemToLimit() {
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if ((hashScore.size() == 0) || (cache.size() == 0)) return 0;
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flushThread.pause();
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int count = 0;
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//serverLog.logDebug("PLASMA INDEXING", "flushSpecific: hashScore.size=" + hashScore.size() + ", cache.size=" + cache.size());
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synchronized (hashScore) {
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String key;
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Long createTime;
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// generate flush list
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Iterator i = hashScore.scores(true);
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TreeMap[] clusterCandidate = new TreeMap[hashScore.getMaxScore()];
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for (int k = 0; k < clusterCandidate.length; k++) clusterCandidate[k] = new TreeMap(); // by create time ordered hash-list
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while (i.hasNext()) {
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// get the entry properties
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key = (String) i.next();
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createTime = new Long(longTime(hashDate.getScore(key)));
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count = hashScore.getScore(key);
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// put it into a specific ohl
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clusterCandidate[count - 1].put(createTime, key);
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//System.out.println("COUNT FOR KEY " + key + ": " + count);
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}
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// print statistics
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for (int k = 0; k < clusterCandidate.length; k++)
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log.logDebug("FLUSH-LIST " + (k + 1) + ": " + clusterCandidate[k].size() + " entries");
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Map.Entry entry;
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int candidateCounter;
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count = 0;
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// flush high-scores that accumultated too much
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for (int cluster = clusterCandidate.length; cluster >= ramcacheLimit; cluster--) {
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candidateCounter = 0;
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i = clusterCandidate[cluster - 1].entrySet().iterator();
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while (i.hasNext()) {
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entry = (Map.Entry) i.next();
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key = (String) entry.getValue();
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createTime = (Long) entry.getKey();
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count += java.lang.Math.abs(flushFromMem(key, false));
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candidateCounter += cluster;
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log.logDebug("flushed high-cluster over limit #" + cluster + ", key=" + key + ", count=" + count + ", cachesize=" + cache.size());
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}
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}
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// flush from assortment cluster
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for (int cluster = 1; cluster <= java.lang.Math.min(clusterCandidate.length, assortmentLimit); cluster++) {
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candidateCounter = 0;
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// select a specific cluster
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i = clusterCandidate[cluster - 1].entrySet().iterator();
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// check each element in this flush-list: too old?
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while (i.hasNext()) {
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entry = (Map.Entry) i.next();
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key = (String) entry.getValue();
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createTime = (Long) entry.getKey();
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if ((createTime != null) && ((System.currentTimeMillis() - createTime.longValue()) > (20000 + (cluster * 5000)))) {
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//log.logDebug("flushing key " + key + ", count=" + count + ", cachesize=" + cache.size() + ", singleton-size=" + singletons.size());
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count += java.lang.Math.abs(flushFromMem(key, true));
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candidateCounter += cluster;
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}
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}
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if (candidateCounter > 0) log.logDebug("flushed low-cluster #" + cluster + ", count=" + count + ", candidateCounter=" + candidateCounter + ", cachesize=" + cache.size());
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}
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// stop flushing if cache is shrinked enough
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// avoid as possible to flush high-scores
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if (cache.size() < this.maxWords - 100) {
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flushThread.proceed();
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return count;
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}
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// flush high-scores
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for (int cluster = java.lang.Math.min(clusterCandidate.length, ramcacheLimit); cluster > assortmentLimit; cluster--) {
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candidateCounter = 0;
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i = clusterCandidate[cluster - 1].entrySet().iterator();
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while (i.hasNext()) {
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entry = (Map.Entry) i.next();
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key = (String) entry.getValue();
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createTime = (Long) entry.getKey();
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if ((createTime != null) && ((System.currentTimeMillis() - createTime.longValue()) > (600000/cluster))) {
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count += java.lang.Math.abs(flushFromMem(key, false));
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candidateCounter += cluster;
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log.logDebug("flushed high-cluster below limit #" + cluster + ", key=" + key + ", count=" + count + ", cachesize=" + cache.size());
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}
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if (cache.size() < this.maxWords - 100) {
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flushThread.proceed();
|
|
return count;
|
|
}
|
|
}
|
|
}
|
|
}
|
|
flushThread.proceed();
|
|
return count;
|
|
}
|
|
*/
|
|
|
|
|
|
public plasmaWordIndexEntity getIndex(String wordHash, boolean deleteIfEmpty) {
|
|
flushThread.pause();
|
|
flushFromMem(wordHash, false);
|
|
flushFromAssortmentCluster(wordHash);
|
|
flushThread.proceed();
|
|
return backend.getIndex(wordHash, deleteIfEmpty);
|
|
}
|
|
|
|
public long getUpdateTime(String wordHash) {
|
|
plasmaWordIndexEntryContainer entries = (plasmaWordIndexEntryContainer) cache.get(wordHash);
|
|
if (entries == null) return 0;
|
|
return entries.updated();
|
|
/*
|
|
Long time = new Long(longTime(hashDate.getScore(wordHash)));
|
|
if (time == null) return 0;
|
|
return time.longValue();
|
|
*/
|
|
}
|
|
|
|
public void deleteIndex(String wordHash) {
|
|
flushThread.pause();
|
|
synchronized (cache) {
|
|
cache.remove(wordHash);
|
|
hashScore.deleteScore(wordHash);
|
|
hashDate.deleteScore(wordHash);
|
|
}
|
|
assortmentCluster.removeFromAll(wordHash);
|
|
backend.deleteIndex(wordHash);
|
|
flushThread.proceed();
|
|
}
|
|
|
|
public synchronized int removeEntries(String wordHash, String[] urlHashes, boolean deleteComplete) {
|
|
flushThread.pause();
|
|
flushFromMem(wordHash, false);
|
|
flushFromAssortmentCluster(wordHash);
|
|
int removed = backend.removeEntries(wordHash, urlHashes, deleteComplete);
|
|
flushThread.proceed();
|
|
return removed;
|
|
}
|
|
|
|
public synchronized int addEntries(plasmaWordIndexEntryContainer container, long updateTime) {
|
|
flushThread.pause();
|
|
//serverLog.logDebug("PLASMA INDEXING", "addEntryToIndexMem: cache.size=" + cache.size() + "; hashScore.size=" + hashScore.size());
|
|
while (cache.size() >= this.maxWords) flushFromMem();
|
|
//if (flushc > 0) serverLog.logDebug("PLASMA INDEXING", "addEntryToIndexMem - flushed " + flushc + " entries");
|
|
|
|
// put new words into cache
|
|
int added = 0;
|
|
synchronized (cache) {
|
|
String wordHash = container.wordHash();
|
|
plasmaWordIndexEntryContainer entries = (plasmaWordIndexEntryContainer) cache.get(wordHash); // null pointer exception? wordhash != null! must be cache==null
|
|
if (entries == null) entries = new plasmaWordIndexEntryContainer(wordHash);
|
|
added = entries.add(container);
|
|
if (added > 0) {
|
|
cache.put(wordHash, entries);
|
|
hashScore.addScore(wordHash, added);
|
|
hashDate.setScore(wordHash, intTime(updateTime));
|
|
}
|
|
}
|
|
//System.out.println("DEBUG: cache = " + cache.toString());
|
|
flushThread.proceed();
|
|
return added;
|
|
}
|
|
|
|
private void addEntry(String wordHash, plasmaWordIndexEntry newEntry, long updateTime) {
|
|
plasmaWordIndexEntryContainer entries = (plasmaWordIndexEntryContainer) cache.get(wordHash);
|
|
if (entries == null) entries = new plasmaWordIndexEntryContainer(wordHash);
|
|
if (entries.add(new plasmaWordIndexEntry[]{newEntry}, updateTime) > 0) {
|
|
cache.put(wordHash, entries);
|
|
hashScore.incScore(wordHash);
|
|
hashDate.setScore(wordHash, intTime(updateTime));
|
|
}
|
|
flushThread.proceed();
|
|
}
|
|
|
|
public void close(int waitingSeconds) {
|
|
// stop permanent flushing
|
|
flushThread.terminate();
|
|
try {flushThread.join(5000);} catch (InterruptedException e) {}
|
|
|
|
// close cluster
|
|
assortmentCluster.close();
|
|
try {
|
|
dump(waitingSeconds);
|
|
} catch (IOException e){
|
|
log.logError("unable to dump cache: " + e.getMessage());
|
|
e.printStackTrace();
|
|
}
|
|
}
|
|
|
|
}
|