Andrew Sullivan wrote:
On Mon, Aug 14, 2006 at 05:26:10PM -0400, Sumeet Ambre wrote:
Hi All,
I have a database which consists of 20 million records and I've split up
the db into 6-7 dbs.
You can do this (as someone suggested with dblink), but I'm wondering
why the split? 20 million records isn't very big.
A
The Design of the database is because our organization wants to split up
different datasets into different entities, and there might be a
possibility that they'll run different instances of postgres for each
dataset. The problem is that one of the databases consists of 14 million
records and when i query the base database which consists of 20million
records, the query runs damn slow.......below is the sample schema for
my base table and the query i try to run on it....it takes me more than
2-3 minutes to run a query....Is there any way i could speed this up......
sample schema for my base table
---------------------------------
doc_id | title | authors | pub_year | abs | db_name........ |
In the above scheme the field db_name is the name of the other databases
which contain the whole record.
I'm trying to run query which searches on title, authors name, pub_year
or abstract simultaneously...
e.g. SELECT * FROM base WHERE ((title ILIKE '%something%') AND (authors
~* '.*something.*') AND (db_name='something'));
Any suggestions to speed up this query.....
Thanks,
Sumeet.
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choose an index scan if your joining column's datatypes do not
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