On Tue, 21 Sep 2004, Alain Reymond wrote:
> I created a database with Postgres 7.3.4 under Linux RedHat 7.3 on a
> Dell PowerEdge server.
You should probably upgrade to the end of the 7.3 branch at the least
(7.3.7).
> One of the table is
> resultats(numbil, numpara, mesure, deviation)
> with an index on numbil.
>
> Each select on numbil returns up to 60 rows (that means 60 rows for
> one numbil with 60 different numpara) for example
> (200000,1,500,3.5)
> (200000,2,852,4.2)
> (200000,12,325,2.8)
> (200001,1,750,1.5)
> (200001,2,325,-1.5)
> (200001,8,328,1.2)
> etc..
>
> This table contains now more than 6.500.000 rows and grows from
> 6000 rows a day. I have approximatively 1.250.000 rows a year. So I
> have 5 years of data online.
> Now, an insertion of 6000 lasts very loooong, up to one hour...
> I tried to insert 100.000 yesterday evening and it was not done in 8
> hours.
Some questions... Are you doing the inserts each in their own transaction
or are you putting them in a single transaction or batching some number
per transaction? Have you considered using copy for importing large blocks
of data? Is this table basically only taking inserts (no delete or
update)? Does this table have foreign key references to another table or
have any triggers?
You might see if reindexing the table or running vacuum full verbose(*)
helps.
(*) - I don't remember how 7.3 handled cluster, but if vacuum full verbose
says there's lots of removable row entries, clustering the table might be
faster.
