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orbiter 9416f5c26f more speed test cases: kelondro provides map functions that are more than 20% faster than standard java classes and use less than halve of the memory of java classes: ... just start IndexTest (here with 1000000 test objects) Performance test: comparing HashMap, TreeMap and kelondroRow generated 1000000 test data entries STANDARD JAVA CLASS MAPS sorted map time for TreeMap<byte[]> generation: 2110 time for TreeMap<byte[]> test: 2516, 0 bugs memory for TreeMap<byte[]>: 29 MB unsorted map time for HashMap<String> generation: 1157 time for HashMap<String> test: 1516, 0 bugs memory for HashMap<String>: 61 MB KELONDRO-ENHANCED MAPS sorted map time for kelondroMap<byte[]> generation: 1781 time for kelondroMap<byte[]> test: 2452, 0 bugs memory for kelondroMap<byte[]>: 15 MB unsorted map time for HashMap<ByteArray> generation: 828 time for HashMap<ByteArray> test: 953, 0 bugs memory for HashMap<ByteArray>: 9 MB git-svn-id: https://svn.berlios.de/svnroot/repos/yacy/trunk@5847 6c8d7289-2bf4-0310-a012-ef5d649a1542		16 years ago
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blob	full redesign of index access data model:	16 years ago
index	more speed test cases: kelondro provides map functions that are more than 20% faster than standard java classes and use less than halve of the memory of java classes:	16 years ago
io	- better selection of files to be merged	16 years ago
order	more performance hacks: 10% more speed for Base64.compare() which is really often used in YaCy code	16 years ago
table	- migration of files from SplitTable (which are used for the URL-DB) to a different file name format.	16 years ago
text	more fixes	16 years ago
util	more speed test cases: kelondro provides map functions that are more than 20% faster than standard java classes and use less than halve of the memory of java classes:	16 years ago