Hmmm....
That's gonna be super slow.
You might want to create 2 additional tables:
keywords
--------
id
keyword
searchmap
---------
keywordid
documentid
Then index your data so that
1. There is a unique entry in keywords for your existing data
2. Your searchmap would have an entry for keywordid, and a documentid
To search for data...
1. Find the ID of the keywords in question eg:
JORGE => 55
SARMIENTO => 89
2. Get data from searchmap like so:
SELECT documentid, count(*) as hits FROM searchmap WHERE keywordid IN
(55,89) GROUP BY documentid ORDER BY hits DESC
3. Get your documentid's from the document id in #2 above.
This will *ligntning* fast.
- Ericson Smith
eric@did-it.com
http://www.did-it.com
On Wed, 2002-06-12 at 11:43, Jorge Sarmiento wrote:
> I have 3000000 rows in a database where I have to make a:
>
> SELECT name FROM table WHERE name LIKE '%firstname%' AND name LIKE
> '%secondname%';
>
> to obtain the data I need.
>
> Due to the data nature, there is no other way to look for the data, it's old
> data that was registered in paper years ago, with no searchable index... just
> names, that sometimes are wrote like: JORGE SARMIENTO, other times like:
> SARMIENTO, JORGE and other times like JORGE LUIS SARMIENTO. and due to legal
> reasons, the data must be entered the exact way it was wroten.
>
> Is there any way to optimize postgres for doing this kind of SELECT?
>
> thanx in advance!
>
> Jorge S.
>
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