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370 lines
20 KiB
370 lines
20 KiB
// indexRWIEntryNew.java
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// (C) 2006 by Michael Peter Christen; mc@anomic.de, Frankfurt a. M., Germany
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// first published 17.11.2006 on http://www.anomic.de
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//
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// This is a part of YaCy, a peer-to-peer based web search engine
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//
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// $LastChangedDate: 2006-04-02 22:40:07 +0200 (So, 02 Apr 2006) $
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// $LastChangedRevision: 1986 $
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// $LastChangedBy: orbiter $
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//
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// LICENSE
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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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package de.anomic.index;
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import de.anomic.kelondro.kelondroBitfield;
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import de.anomic.kelondro.kelondroColumn;
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import de.anomic.kelondro.kelondroException;
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import de.anomic.kelondro.kelondroRow;
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import de.anomic.kelondro.kelondroRow.Entry;
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import de.anomic.plasma.plasmaURL;
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import de.anomic.plasma.plasmaWordIndex;
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import de.anomic.yacy.yacySeedDB;
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public class indexRWIEntryNew implements Cloneable, indexRWIEntry {
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// this object stores attributes to URL references inside RWI collections
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public static kelondroRow urlEntryRow = new kelondroRow(new kelondroColumn[]{
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new kelondroColumn("h", kelondroColumn.celltype_string, kelondroColumn.encoder_bytes, yacySeedDB.commonHashLength, "urlhash"),
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new kelondroColumn("a", kelondroColumn.celltype_cardinal, kelondroColumn.encoder_b256, 2, "lastModified"),
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new kelondroColumn("s", kelondroColumn.celltype_cardinal, kelondroColumn.encoder_b256, 2, "freshUntil"),
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new kelondroColumn("u", kelondroColumn.celltype_cardinal, kelondroColumn.encoder_b256, 1, "wordsInTitle"),
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new kelondroColumn("w", kelondroColumn.celltype_cardinal, kelondroColumn.encoder_b256, 2, "wordsInText"),
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new kelondroColumn("p", kelondroColumn.celltype_cardinal, kelondroColumn.encoder_b256, 2, "phrasesInText"),
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new kelondroColumn("d", kelondroColumn.celltype_binary, kelondroColumn.encoder_bytes, 1, "doctype"),
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new kelondroColumn("l", kelondroColumn.celltype_string, kelondroColumn.encoder_bytes, 2, "language"),
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new kelondroColumn("x", kelondroColumn.celltype_cardinal, kelondroColumn.encoder_b256, 1, "llocal"),
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new kelondroColumn("y", kelondroColumn.celltype_cardinal, kelondroColumn.encoder_b256, 1, "lother"),
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new kelondroColumn("m", kelondroColumn.celltype_cardinal, kelondroColumn.encoder_b256, 1, "urlLength"),
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new kelondroColumn("n", kelondroColumn.celltype_cardinal, kelondroColumn.encoder_b256, 1, "urlComps"),
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new kelondroColumn("g", kelondroColumn.celltype_binary, kelondroColumn.encoder_bytes, 1, "typeofword"),
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new kelondroColumn("z", kelondroColumn.celltype_bitfield, kelondroColumn.encoder_bytes, 4, "flags"),
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new kelondroColumn("c", kelondroColumn.celltype_cardinal, kelondroColumn.encoder_b256, 1, "hitcount"),
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new kelondroColumn("t", kelondroColumn.celltype_cardinal, kelondroColumn.encoder_b256, 2, "posintext"),
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new kelondroColumn("r", kelondroColumn.celltype_cardinal, kelondroColumn.encoder_b256, 1, "posinphrase"),
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new kelondroColumn("o", kelondroColumn.celltype_cardinal, kelondroColumn.encoder_b256, 1, "posofphrase"),
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new kelondroColumn("i", kelondroColumn.celltype_cardinal, kelondroColumn.encoder_b256, 1, "worddistance"),
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new kelondroColumn("k", kelondroColumn.celltype_cardinal, kelondroColumn.encoder_b256, 1, "reserve")
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});
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// available chars: b,e,j,q
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// static properties
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private static final int col_urlhash = 0; // h 12 the url hash b64-encoded
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private static final int col_lastModified = 1; // a 2 last-modified time of the document where word appears
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private static final int col_freshUntil = 2; // s 2 TTL for the word, so it can be removed easily if the TTL is short
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private static final int col_wordsInTitle = 3; // u 1 words in description/length (longer are better?)
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private static final int col_wordsInText = 4; // w 2 total number of words in document
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private static final int col_phrasesInText = 5; // p 2 total number of phrases in document
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private static final int col_doctype = 6; // d 1 type of document
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private static final int col_language = 7; // l 2 (guessed) language of document
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private static final int col_llocal = 8; // x 1 outlinks to same domain
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private static final int col_lother = 9; // y 1 outlinks to other domain
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private static final int col_urlLength = 10; // m 1 byte-length of complete URL
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private static final int col_urlComps = 11; // n 1 number of path components
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// dynamic properties
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private static final int col_typeofword = 12; // g 1 grammatical classification
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private static final int col_flags = 13; // z 4 b64-encoded appearance flags (24 bit, see definition below)
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private static final int col_hitcount = 14; // c 1 number of occurrences of this word in text
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private static final int col_posintext = 15; // t 2 first appearance of word in text
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private static final int col_posinphrase = 16; // r 1 position of word in its phrase
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private static final int col_posofphrase = 17; // o 1 number of the phrase where word appears
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private static final int col_worddistance = 18; // i 1 initial zero; may be used as reserve: is filled during search
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private static final int col_reserve = 19; // k 1 reserve
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// appearance flags, used in RWI entry
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// the flags 0..23 are identical to the category flags in plasmaCondenser
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public static final int flag_app_url = 24; // word appears in url
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public static final int flag_app_descr = 25; // word appears in headline (or any description part)
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public static final int flag_app_author = 26; // word appears in author
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public static final int flag_app_tags = 27; // word appears in header tags
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public static final int flag_app_reference = 28; // word appears in anchor description text (the reference to an url), or any alternative text field of a link
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public static final int flag_app_emphasized = 29; // word is emphasized in text (i.e. bold, italics, special size)
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private kelondroRow.Entry entry;
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public indexRWIEntryNew(String urlHash,
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int urlLength, // byte-length of complete URL
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int urlComps, // number of path components
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int titleLength, // length of description/length (longer are better?)
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int hitcount, // how often appears this word in the text
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int wordcount, // total number of words
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int phrasecount, // total number of phrases
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int posintext, // position of word in all words
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int posinphrase, // position of word in its phrase
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int posofphrase, // number of the phrase where word appears
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int worddistance, // word distance; this is 0 by default, and set to the difference of posintext from two indexes if these are combined (simultanous search). If stored, this shows that the result was obtained by remote search
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int sizeOfPage, // # of bytes of the page TODO: not needed any more
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long lastmodified, // last-modified time of the document where word appears
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long updatetime, // update time; this is needed to compute a TTL for the word, so it can be removed easily if the TTL is short
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int quality, // the entropy value
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String language, // (guessed) language of document
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char doctype, // type of document
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int outlinksSame, // outlinks to same domain
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int outlinksOther, // outlinks to other domain
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kelondroBitfield flags // attributes to the url and to the word according the url
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) {
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assert (urlHash.length() == 12) : "urlhash = " + urlHash;
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if ((language == null) || (language.length() != urlEntryRow.width(col_language))) language = "uk";
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this.entry = urlEntryRow.newEntry();
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int mddlm = plasmaWordIndex.microDateDays(lastmodified);
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int mddct = plasmaWordIndex.microDateDays(updatetime);
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this.entry.setCol(col_urlhash, urlHash, null);
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this.entry.setCol(col_lastModified, mddlm);
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this.entry.setCol(col_freshUntil, Math.max(0, mddlm + (mddct - mddlm) * 2)); // TTL computation
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this.entry.setCol(col_wordsInTitle, titleLength / 6); // word count estimation; TODO: change value handover to number of words
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this.entry.setCol(col_wordsInText, wordcount);
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this.entry.setCol(col_phrasesInText, phrasecount);
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this.entry.setCol(col_doctype, new byte[]{(byte) doctype});
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this.entry.setCol(col_language, language, null);
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this.entry.setCol(col_llocal, outlinksSame);
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this.entry.setCol(col_lother, outlinksOther);
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this.entry.setCol(col_urlLength, urlLength);
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this.entry.setCol(col_urlComps, urlComps);
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this.entry.setCol(col_typeofword, new byte[]{(byte) 0}); // TODO: grammatical classification
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this.entry.setCol(col_flags, flags.bytes());
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this.entry.setCol(col_hitcount, hitcount);
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this.entry.setCol(col_posintext, posintext);
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this.entry.setCol(col_posinphrase, posinphrase);
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this.entry.setCol(col_posofphrase, posofphrase);
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this.entry.setCol(col_worddistance, worddistance);
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this.entry.setCol(col_reserve, 0);
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}
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public indexRWIEntryNew(indexRWIEntryOld oldEntry) throws kelondroException {
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if (oldEntry.urlHash() == null) throw new kelondroException("hash is null");
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if (oldEntry.urlHash().length() != 12) throw new kelondroException("hash has wrong length");
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this.entry = urlEntryRow.newEntry();
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int mddlm = plasmaWordIndex.microDateDays(oldEntry.lastModified());
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this.entry.setCol(col_urlhash, oldEntry.urlHash(), null);
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this.entry.setCol(col_lastModified, mddlm);
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this.entry.setCol(col_freshUntil, 0);
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this.entry.setCol(col_wordsInTitle, 20); // guessed
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this.entry.setCol(col_wordsInText, oldEntry.wordcount());
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this.entry.setCol(col_phrasesInText, oldEntry.phrasecount());
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this.entry.setCol(col_doctype, new byte[]{(byte) oldEntry.doctype()});
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this.entry.setCol(col_language, (oldEntry.getLanguage() == null) ? "en" : oldEntry.getLanguage(), null);
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this.entry.setCol(col_llocal, 0);
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this.entry.setCol(col_lother, 0);
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int domlen = plasmaURL.domLengthEstimation(oldEntry.urlHash());
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this.entry.setCol(col_urlLength, domlen * 2); // estimated
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this.entry.setCol(col_urlComps, domlen / 3); // estimated
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this.entry.setCol(col_typeofword, new byte[]{(byte) 0});
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this.entry.setCol(col_flags, (new kelondroBitfield(4)).bytes());
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this.entry.setCol(col_hitcount, oldEntry.hitcount());
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this.entry.setCol(col_posintext, oldEntry.posintext());
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this.entry.setCol(col_posinphrase, oldEntry.posinphrase());
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this.entry.setCol(col_posofphrase, oldEntry.posofphrase());
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this.entry.setCol(col_worddistance, oldEntry.worddistance());
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this.entry.setCol(col_reserve, 0);
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}
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public indexRWIEntryNew(String urlHash, String code) {
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// the code is the external form of the row minus the leading urlHash entry
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this.entry = urlEntryRow.newEntry((urlHash + code).getBytes());
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}
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public indexRWIEntryNew(String external) {
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this.entry = urlEntryRow.newEntry(external, true);
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}
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public indexRWIEntryNew(byte[] row) {
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this.entry = urlEntryRow.newEntry(row);
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}
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public indexRWIEntryNew(kelondroRow.Entry rentry) {
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// FIXME: see if cloning is necessary
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this.entry = rentry;
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}
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public static int days(long time) {
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// calculates the number of days since 1.1.1970 and returns this as 4-byte array
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return (int) (time / 86400000);
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}
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public Object clone() {
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byte[] b = new byte[urlEntryRow.objectsize()];
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System.arraycopy(entry.bytes(), 0, b, 0, urlEntryRow.objectsize());
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return new indexRWIEntryNew(b);
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}
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public String toPropertyForm() {
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return entry.toPropertyForm(true, true, false);
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}
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public Entry toKelondroEntry() {
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return this.entry;
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}
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public String urlHash() {
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return this.entry.getColString(col_urlhash, null);
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}
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public int quality() {
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return 0; // not used any more
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}
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public int virtualAge() {
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return plasmaWordIndex.microDateDays(lastModified());
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}
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public long lastModified() {
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return plasmaWordIndex.reverseMicroDateDays((int) this.entry.getColLong(col_lastModified));
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}
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public int hitcount() {
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return (int) this.entry.getColLong(col_hitcount);
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}
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public int posintext() {
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return (int) this.entry.getColLong(col_posintext);
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}
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public int posinphrase() {
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return (int) this.entry.getColLong(col_posinphrase);
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}
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public int posofphrase() {
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return (int) this.entry.getColLong(col_posofphrase);
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}
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public int wordcount() {
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return (int) this.entry.getColLong(col_wordsInText);
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}
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public int phrasecount() {
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return (int) this.entry.getColLong(col_phrasesInText);
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}
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public String getLanguage() {
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return this.entry.getColString(col_language, null);
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}
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public char getType() {
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return (char) this.entry.getColByte(col_doctype);
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}
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public kelondroBitfield flags() {
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return new kelondroBitfield(this.entry.getColBytes(col_flags));
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}
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public String toString() {
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return toPropertyForm();
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}
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public static indexRWIEntryNew combineDistance(indexRWIEntryNew ie1, indexRWIEntry ie2) {
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// returns a modified entry of the first argument
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ie1.entry.setCol(col_worddistance, ie1.worddistance() + ie2.worddistance() + Math.abs(ie1.posintext() - ie2.posintext()));
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ie1.entry.setCol(col_posintext, Math.min(ie1.posintext(), ie2.posintext()));
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ie1.entry.setCol(col_posinphrase, (ie1.posofphrase() == ie2.posofphrase()) ? ie1.posofphrase() : 0 /*unknown*/);
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ie1.entry.setCol(col_posofphrase, Math.min(ie1.posofphrase(), ie2.posofphrase()));
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ie1.entry.setCol(col_wordsInText, (ie1.wordcount() + ie2.wordcount()) / 2);
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return ie1;
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}
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public void combineDistance(indexRWIEntry oe) {
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combineDistance(this, oe);
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}
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public int worddistance() {
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return (int) this.entry.getColLong(col_worddistance);
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}
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public static final void min(indexRWIEntryNew t, indexRWIEntry other) {
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if (t.hitcount() > other.hitcount()) t.entry.setCol(col_hitcount, other.hitcount());
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if (t.wordcount() > other.wordcount()) t.entry.setCol(col_wordsInText, other.wordcount());
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if (t.phrasecount() > other.phrasecount()) t.entry.setCol(col_phrasesInText, other.phrasecount());
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if (t.posintext() > other.posintext()) t.entry.setCol(col_posintext, other.posintext());
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if (t.posinphrase() > other.posinphrase()) t.entry.setCol(col_posinphrase, other.posinphrase());
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if (t.posofphrase() > other.posofphrase()) t.entry.setCol(col_posofphrase, other.posofphrase());
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if (t.worddistance() > other.worddistance()) t.entry.setCol(col_worddistance, other.worddistance());
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if (t.lastModified() > other.lastModified()) t.entry.setCol(col_lastModified, other.lastModified());
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}
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public static final void max(indexRWIEntryNew t, indexRWIEntry other) {
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if (t.hitcount() < other.hitcount()) t.entry.setCol(col_hitcount, other.hitcount());
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if (t.wordcount() < other.wordcount()) t.entry.setCol(col_wordsInText, other.wordcount());
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if (t.phrasecount() < other.phrasecount()) t.entry.setCol(col_phrasesInText, other.phrasecount());
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if (t.posintext() < other.posintext()) t.entry.setCol(col_posintext, other.posintext());
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if (t.posinphrase() < other.posinphrase()) t.entry.setCol(col_posinphrase, other.posinphrase());
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if (t.posofphrase() < other.posofphrase()) t.entry.setCol(col_posofphrase, other.posofphrase());
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if (t.worddistance() < other.worddistance()) t.entry.setCol(col_worddistance, other.worddistance());
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if (t.lastModified() < other.lastModified()) t.entry.setCol(col_lastModified, other.lastModified());
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}
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public void min(indexRWIEntry other) {
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min(this, other);
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}
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public void max(indexRWIEntry other) {
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max(this, other);
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}
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static void normalize(indexRWIEntryNew t, indexRWIEntry min, indexRWIEntry max) {
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assert (t.urlHash().length() == 12) : "turlhash = " + t.urlHash();
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assert (min.urlHash().length() == 12) : "minurlhash = " + min.urlHash();
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assert (max.urlHash().length() == 12) : "maxurlhash = " + max.urlHash();
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if (1 + max.worddistance() - min.worddistance() == 0) System.out.println("min = " + min.toPropertyForm() + "\nmax=" + max.toPropertyForm());
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//System.out.println("Normalize:\nentry = " + t.toPropertyForm(true));
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//System.out.println("min = " + min.toPropertyForm(true));
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//System.out.println("max = " + max.toPropertyForm(true));
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t.entry.setCol(col_hitcount , (t.hitcount() == 0) ? 0 : 1 + 255 * (t.hitcount() - min.hitcount() ) / (1 + max.hitcount() - min.hitcount()));
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t.entry.setCol(col_wordsInText , (t.wordcount() == 0) ? 0 : 1 + 255 * (t.wordcount() - min.wordcount() ) / (1 + max.wordcount() - min.wordcount()));
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t.entry.setCol(col_phrasesInText, (t.phrasecount() == 0) ? 0 : 1 + 255 * (t.phrasecount() - min.phrasecount() ) / (1 + max.phrasecount() - min.phrasecount()));
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t.entry.setCol(col_posintext , (t.posintext() == 0) ? 0 : 1 + 255 * (t.posintext() - min.posintext() ) / (1 + max.posintext() - min.posintext()));
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t.entry.setCol(col_posinphrase , (t.posinphrase() == 0) ? 0 : 1 + 255 * (t.posinphrase() - min.posinphrase() ) / (1 + max.posinphrase() - min.posinphrase()));
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t.entry.setCol(col_posofphrase , (t.posofphrase() == 0) ? 0 : 1 + 255 * (t.posofphrase() - min.posofphrase() ) / (1 + max.posofphrase() - min.posofphrase()));
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t.entry.setCol(col_worddistance , (t.worddistance() == 0) ? 0 : 1 + 255 * (t.worddistance() - min.worddistance()) / (1 + max.worddistance() - min.worddistance())); // FIXME: hier gibts ein division by zero, was nur sein kann wenn die Normalisierung nicht geklappt hat.
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t.entry.setCol(col_lastModified , (t.lastModified() == 0) ? 0 : 1 + 255 * (t.lastModified() - min.lastModified()) / (1 + max.lastModified() - min.lastModified()));
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//System.out.println("out = " + t.toPropertyForm(true));
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}
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public void normalize(indexRWIEntry min, indexRWIEntry max) {
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normalize(this, min, max);
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}
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public indexRWIEntry generateNormalized(indexRWIEntry min, indexRWIEntry max) {
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assert (this.urlHash().length() == 12) : "this.urlhash = " + this.urlHash();
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indexRWIEntryNew e = (indexRWIEntryNew) this.clone();
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e.normalize(min, max);
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return e;
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}
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public boolean isNewer(indexRWIEntry other) {
|
|
if (other == null) return true;
|
|
if (this.lastModified() > other.lastModified()) return true;
|
|
if (this.lastModified() == other.lastModified()) {
|
|
if (this.quality() > other.quality()) return true;
|
|
}
|
|
return false;
|
|
}
|
|
|
|
public boolean isOlder(indexRWIEntry other) {
|
|
if (other == null) return false;
|
|
if (this.lastModified() < other.lastModified()) return true;
|
|
if (this.lastModified() == other.lastModified()) {
|
|
if (this.quality() < other.quality()) return true;
|
|
}
|
|
return false;
|
|
}
|
|
|
|
} |