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yacy_search_server/source/de/anomic/index/indexRWIRowEntry.java

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// indexRWIRowEntry.java
// (C) 2006 by Michael Peter Christen; mc@yacy.net, Frankfurt a. M., Germany
// first published 20.05.2006 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 de.anomic.kelondro.kelondroBase64Order;
import de.anomic.kelondro.kelondroBitfield;
import de.anomic.kelondro.kelondroColumn;
import de.anomic.kelondro.kelondroRow;
import de.anomic.kelondro.kelondroRow.Entry;
import de.anomic.plasma.plasmaWordIndex;
import de.anomic.yacy.yacySeedDB;
public final class indexRWIRowEntry implements indexRWIEntry {
// this object stores attributes to URL references inside RWI collections
public static kelondroRow urlEntryRow = new kelondroRow(new kelondroColumn[]{
new kelondroColumn("h", kelondroColumn.celltype_string, kelondroColumn.encoder_bytes, yacySeedDB.commonHashLength, "urlhash"),
new kelondroColumn("a", kelondroColumn.celltype_cardinal, kelondroColumn.encoder_b256, 2, "lastModified"),
new kelondroColumn("s", kelondroColumn.celltype_cardinal, kelondroColumn.encoder_b256, 2, "freshUntil"),
new kelondroColumn("u", kelondroColumn.celltype_cardinal, kelondroColumn.encoder_b256, 1, "wordsInTitle"),
new kelondroColumn("w", kelondroColumn.celltype_cardinal, kelondroColumn.encoder_b256, 2, "wordsInText"),
new kelondroColumn("p", kelondroColumn.celltype_cardinal, kelondroColumn.encoder_b256, 2, "phrasesInText"),
new kelondroColumn("d", kelondroColumn.celltype_binary, kelondroColumn.encoder_bytes, 1, "doctype"),
new kelondroColumn("l", kelondroColumn.celltype_string, kelondroColumn.encoder_bytes, 2, "language"),
new kelondroColumn("x", kelondroColumn.celltype_cardinal, kelondroColumn.encoder_b256, 1, "llocal"),
new kelondroColumn("y", kelondroColumn.celltype_cardinal, kelondroColumn.encoder_b256, 1, "lother"),
new kelondroColumn("m", kelondroColumn.celltype_cardinal, kelondroColumn.encoder_b256, 1, "urlLength"),
new kelondroColumn("n", kelondroColumn.celltype_cardinal, kelondroColumn.encoder_b256, 1, "urlComps"),
new kelondroColumn("g", kelondroColumn.celltype_binary, kelondroColumn.encoder_bytes, 1, "typeofword"),
new kelondroColumn("z", kelondroColumn.celltype_bitfield, kelondroColumn.encoder_bytes, 4, "flags"),
new kelondroColumn("c", kelondroColumn.celltype_cardinal, kelondroColumn.encoder_b256, 1, "hitcount"),
new kelondroColumn("t", kelondroColumn.celltype_cardinal, kelondroColumn.encoder_b256, 2, "posintext"),
new kelondroColumn("r", kelondroColumn.celltype_cardinal, kelondroColumn.encoder_b256, 1, "posinphrase"),
new kelondroColumn("o", kelondroColumn.celltype_cardinal, kelondroColumn.encoder_b256, 1, "posofphrase"),
new kelondroColumn("i", kelondroColumn.celltype_cardinal, kelondroColumn.encoder_b256, 1, "worddistance"),
new kelondroColumn("k", kelondroColumn.celltype_cardinal, kelondroColumn.encoder_b256, 1, "reserve")
},
kelondroBase64Order.enhancedCoder,
0);
// available chars: b,e,j,q
// static properties
private static final int col_urlhash = 0; // h 12 the url hash b64-encoded
private static final int col_lastModified = 1; // a 2 last-modified time of the document where word appears
private static final int col_freshUntil = 2; // s 2 TTL for the word, so it can be removed easily if the TTL is short
private static final int col_wordsInTitle = 3; // u 1 words in description/length (longer are better?)
private static final int col_wordsInText = 4; // w 2 total number of words in document
private static final int col_phrasesInText = 5; // p 2 total number of phrases in document
private static final int col_doctype = 6; // d 1 type of document
private static final int col_language = 7; // l 2 (guessed) language of document
private static final int col_llocal = 8; // x 1 outlinks to same domain
private static final int col_lother = 9; // y 1 outlinks to other domain
private static final int col_urlLength = 10; // m 1 byte-length of complete URL
private static final int col_urlComps = 11; // n 1 number of path components
// dynamic properties
private static final int col_typeofword = 12; // g 1 grammatical classification
private static final int col_flags = 13; // z 4 b64-encoded appearance flags (24 bit, see definition below)
private static final int col_hitcount = 14; // c 1 number of occurrences of this word in text
private static final int col_posintext = 15; // t 2 first appearance of word in text
private static final int col_posinphrase = 16; // r 1 position of word in its phrase
private static final int col_posofphrase = 17; // o 1 number of the phrase where word appears
private static final int col_reserve1 = 18; // i 1 reserve1
private static final int col_reserve2 = 19; // k 1 reserve2
private kelondroRow.Entry entry;
public indexRWIRowEntry(String urlHash,
int urlLength, // byte-length of complete URL
int urlComps, // number of path components
int titleLength, // length of description/length (longer are better?)
int hitcount, // how often appears this word in the text
int wordcount, // total number of words
int phrasecount, // total number of phrases
int posintext, // position of word in all words
int posinphrase, // position of word in its phrase
int posofphrase, // number of the phrase where word appears
long lastmodified, // last-modified time of the document where word appears
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
String language, // (guessed) language of document
char doctype, // type of document
int outlinksSame, // outlinks to same domain
int outlinksOther, // outlinks to other domain
kelondroBitfield flags // attributes to the url and to the word according the url
) {
assert (urlHash.length() == 12) : "urlhash = " + urlHash;
if ((language == null) || (language.length() != urlEntryRow.width(col_language))) language = "uk";
this.entry = urlEntryRow.newEntry();
int mddlm = plasmaWordIndex.microDateDays(lastmodified);
int mddct = plasmaWordIndex.microDateDays(updatetime);
this.entry.setCol(col_urlhash, urlHash, null);
this.entry.setCol(col_lastModified, mddlm);
this.entry.setCol(col_freshUntil, Math.max(0, mddlm + (mddct - mddlm) * 2)); // TTL computation
this.entry.setCol(col_wordsInTitle, titleLength / 6); // word count estimation; TODO: change value handover to number of words
this.entry.setCol(col_wordsInText, wordcount);
this.entry.setCol(col_phrasesInText, phrasecount);
this.entry.setCol(col_doctype, new byte[]{(byte) doctype});
this.entry.setCol(col_language, language, null);
this.entry.setCol(col_llocal, outlinksSame);
this.entry.setCol(col_lother, outlinksOther);
this.entry.setCol(col_urlLength, urlLength);
this.entry.setCol(col_urlComps, urlComps);
this.entry.setCol(col_typeofword, new byte[]{(byte) 0}); // TODO: grammatical classification
this.entry.setCol(col_flags, flags.bytes());
this.entry.setCol(col_hitcount, hitcount);
this.entry.setCol(col_posintext, posintext);
this.entry.setCol(col_posinphrase, posinphrase);
this.entry.setCol(col_posofphrase, posofphrase);
this.entry.setCol(col_reserve1, 0);
this.entry.setCol(col_reserve2, 0);
}
public indexRWIRowEntry(String urlHash, String code) {
// the code is the external form of the row minus the leading urlHash entry
this.entry = urlEntryRow.newEntry((urlHash + code).getBytes());
}
public indexRWIRowEntry(String external) {
this.entry = urlEntryRow.newEntry(external, true);
}
public indexRWIRowEntry(byte[] row) {
this.entry = urlEntryRow.newEntry(row);
}
public indexRWIRowEntry(byte[] row, int offset, boolean clone) {
this.entry = urlEntryRow.newEntry(row, offset, clone);
}
public indexRWIRowEntry(kelondroRow.Entry rentry) {
// FIXME: see if cloning is necessary
this.entry = rentry;
}
public static int days(long time) {
// calculates the number of days since 1.1.1970 and returns this as 4-byte array
return (int) (time / 86400000);
}
public indexRWIRowEntry clone() {
byte[] b = new byte[urlEntryRow.objectsize];
System.arraycopy(entry.bytes(), 0, b, 0, urlEntryRow.objectsize);
return new indexRWIRowEntry(b);
}
public String toPropertyForm() {
return entry.toPropertyForm(true, true, false);
}
public Entry toKelondroEntry() {
return this.entry;
}
public String urlHash() {
return this.entry.getColString(col_urlhash, null);
}
public int virtualAge() {
return (int) this.entry.getColLong(col_lastModified); // this is the time in MicoDateDays format
}
public long lastModified() {
return plasmaWordIndex.reverseMicroDateDays((int) this.entry.getColLong(col_lastModified));
}
public long freshUntil() {
return plasmaWordIndex.reverseMicroDateDays((int) this.entry.getColLong(col_freshUntil));
}
public int hitcount() {
return (int) this.entry.getColLong(col_hitcount);
}
public int posintext() {
return (int) this.entry.getColLong(col_posintext);
}
public int posinphrase() {
return (int) this.entry.getColLong(col_posinphrase);
}
public int posofphrase() {
return (int) this.entry.getColLong(col_posofphrase);
}
public int wordsintext() {
return (int) this.entry.getColLong(col_wordsInText);
}
public int phrasesintext() {
return (int) this.entry.getColLong(col_phrasesInText);
}
public String getLanguage() {
return this.entry.getColString(col_language, null);
}
public char getType() {
return (char) this.entry.getColByte(col_doctype);
}
public int wordsintitle() {
return (int) this.entry.getColLong(col_wordsInTitle);
}
public int llocal() {
return (int) this.entry.getColLong(col_llocal);
}
public int lother() {
return (int) this.entry.getColLong(col_lother);
}
public int urllength() {
return (int) this.entry.getColLong(col_urlLength);
}
public int urlcomps() {
return (int) this.entry.getColLong(col_urlComps);
}
public kelondroBitfield flags() {
return new kelondroBitfield(this.entry.getColBytes(col_flags));
}
public double termFrequency() {
return (((double) this.hitcount()) / ((double) (this.wordsintext() + this.wordsintitle() + 1)));
}
public String toString() {
return toPropertyForm();
}
public boolean isNewer(indexRWIEntry other) {
if (other == null) return true;
if (this.lastModified() > other.lastModified()) return true;
return false;
}
public boolean isOlder(indexRWIEntry other) {
if (other == null) return false;
if (this.lastModified() < other.lastModified()) return true;
return false;
}
public int hashCode() {
return this.urlHash().hashCode();
}
}