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No my friend , i didnt missed the Tachyon comment about the vec function..but the deprecated's code help me to understand what is going on with this function..

For the SQL command that you propose i want to ask you for which server is appropriate because on MySQL there is no command for the intersection( i tried some inner join but the perfomance was very very very slow for 1GB dataset (250000 pages,Average document length : 602 words Number of unique words: 907806)...

About your code for the Elias technique i have to say that it is 3 times faster than mine (Thanks one more time!!!)...The only reason why i want to use compression in my index is for perfomance reasons..that was my thougths untill now but it seems that i wasnt right..:(..since with the vec function i can decode 3000000 doc ids in 2 seconds and 10 milion in 6 secs!!!) as the below code shows..

use strict; use Devel::Size qw(size); my $wektor = ''; for(0 .. 10000000) { vec ($wektor, $_, 32) = $_; } print "Vector's size: " . size( $wektor ) . " bytes\n"; my @vec; my $Aa=time(); for(0 .. 10000000) { push @vec,vec ($wektor, $_, 32); } print "unpack vector in \t",time()-$Aa," secs...(oh Yeah!!!)\n";
Size of vector is 40000032 bytes unpack vector in 6 secs...(oh Yeah!!!)
In the above code i used 4 bytes for each doc id. I tried with a vector where i save the same number of doc ids but with only 1 byte for each doc id ( i saved only small numbers) and the time was completely the same..I cant understand why..DOes anyone??

In reply to Re^3: Do you really want to use an array there? by MimisIVI
in thread Do you really want to use an array there? by deprecated

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