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