On Tue, 12 Feb 2008, Mario Lopez wrote:

Hi!,

I optimized the LIKE 'keyword%' and LIKE '%keyword' with the following results:

# time /Library/PostgreSQL8/bin/psql -U postgres -d testdb -c "select * from table1 where varchar_reverse(data) like varchar_reverse('%keyword');"
real    0m0.055s
user    0m0.011s
sys     0m0.006s


# time /Library/PostgreSQL8/bin/psql -U postgres -d testdb -c "select * from table1 where data like 'keyword%';"
real    0m0.026s
user    0m0.012s
sys     0m0.006s

It works flawlesly as you can see by the timings, take in consideration that "table1" has 100 million records. The only problem is generating the reversed index which takes like 20 minutes, I guess it has to do with the plperl function, perhaps a C function for inverting would make it up in less time.

The problem is still with the LIKE '%keyword%', my problem is that I am not searching for Words in a dictionary fashion, suppose my "data" is random garbage, that it has common consecutive bytes. How could I generate a dictionary from this random garbage to make it easier for indexing?

suffix tree (array) would speedup '%keyword%' query, but currently it doesn't
supported by GiST extension architecture (we have it in our TODO), so I see several ways (not tested):

1. try contrib/pg_trgm to reduce a number of candidate words
2. generate all possible substrings and use your tested approach



On Mon, Feb 11, 2008 at 04:37:24PM +0100, Mario Lopez wrote:

SELECT * FROM names WHERE name LIKE keyword%
Or
SELECT * FROM names WHERE name LIKE %keyword%


check this:
http://www.depesz.com/index.php/2007/07/30/indexable-field-like-something/
and this:
http://www.depesz.com/index.php/2007/09/15/speeding-up-like-xxx/

depesz




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        Regards,
                Oleg
_____________________________________________________________
Oleg Bartunov, Research Scientist, Head of AstroNet (www.astronet.ru),
Sternberg Astronomical Institute, Moscow University, Russia
Internet: [EMAIL PROTECTED], http://www.sai.msu.su/~megera/
phone: +007(495)939-16-83, +007(495)939-23-83

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