terms (words) are not any more retrieved by their word hash string, but by a byte[] containing the word hash.
this has strong advantages when RWIs are sorted in the ReferenceContainer Cache and compared with the sun.java TreeMap method, which needed getBytes() and new String() transformations before.
Many thousands of such conversions are now omitted every second, which increases the indexing speed by a factor of two.
git-svn-id: https://svn.berlios.de/svnroot/repos/yacy/trunk@5812 6c8d7289-2bf4-0310-a012-ef5d649a1542
this option was never used and there is also no use to set other columns but the first as the primary key. as a result, access methods to the key do not need to compute key positions, and they work faster.
git-svn-id: https://svn.berlios.de/svnroot/repos/yacy/trunk@5711 6c8d7289-2bf4-0310-a012-ef5d649a1542
The speed of the kelondro indexing class ObjectIndexCache can be compared with Javas standard TreeMap with the main method in IntegerHandleIndex. The result is, that the kelondro indexing needs only 1/5 of the memory that TreeMap uses! In exchange, the kelondro classes are slower than TreeMap, about four (!) times slower. However, this is not so bad because the better use of the memory is a strong advantage and makes it possible that YaCy can maintain such a large number of document (> 50 million) in one peer.
git-svn-id: https://svn.berlios.de/svnroot/repos/yacy/trunk@5705 6c8d7289-2bf4-0310-a012-ef5d649a1542
Java standard classes provide a Map Interface, that has a put() method that returns the object that was replaced by the object that was the argument of the put call. The kelondro ObjectIndex defined a put method in the same way, that means it also returned the previous value of the Entry object before the put call. However, this value was not used by the calling code in the most cases. Omitting a return of the previous value would cause some performance benefit. This change implements a put method that does not return the previous value to reflect the common use. Omitting the return of previous values will cause some benefit in performance. The functionality to get the previous value is still maintained, and provided with a new 'replace' method.
git-svn-id: https://svn.berlios.de/svnroot/repos/yacy/trunk@5700 6c8d7289-2bf4-0310-a012-ef5d649a1542
to use this, you must user the -incollection command before (see SVN 5687) and you need a
used.dump file that has been produced with that process.
Now you can use that file, to do a URL-hash compare with the urls in the URL-DB. To do that, execute
java -Xmx1000m -cp classes de.anomic.data.URLAnalysis -diffurlcol DATA/INDEX/freeworld/TEXT used.dump diffurlcol.dump
or use different names for the dump files or more memory.
As a result, you get the file diffurlcol.dump which contains all the url hashes that occur in the URL database, but not in the collections.
The file has the format
{hash-12}*
that means: 12 byte long hashes are listed without any separation.
The next step could be to process this file and delete all these URLs with the computed hashes, or to export them before deletion.
git-svn-id: https://svn.berlios.de/svnroot/repos/yacy/trunk@5692 6c8d7289-2bf4-0310-a012-ef5d649a1542
- fix for problem in httpdFileHandler: mising close of open Files if tempate cache was disabled
- more memory for DHT selection required
- stub for URL reference hash statistics in index collections
git-svn-id: https://svn.berlios.de/svnroot/repos/yacy/trunk@5682 6c8d7289-2bf4-0310-a012-ef5d649a1542
without an order by the primary key. The result is a very fast enumeration of the Eco table data structure. Other table data types are not affected.
The new enumerator is used for the url export function that can be accessed from the online interface (Index Administration -> URL References -> Export). This export should now be much faster, if all url database files are from type Eco
The new enumeration is also used at other functions in YaCy, i.e. the initialization of the crawl balancer and the initialization of YaCy News.
git-svn-id: https://svn.berlios.de/svnroot/repos/yacy/trunk@5647 6c8d7289-2bf4-0310-a012-ef5d649a1542
- some hacks for less memory usage:
-- less usage of buffer and cache memory in EcoFS
-- buffer allocation on-demand in BufferedIOChunks
-- removed largest ybr idx
git-svn-id: https://svn.berlios.de/svnroot/repos/yacy/trunk@5595 6c8d7289-2bf4-0310-a012-ef5d649a1542
