select count(*) from jobs where lower(queue) = 'normal'
found ~2.6 millions records in 10160ms
With the following index:
create index lower_queue on jobs (lower(queue))
the same query only took 3850ms
On Sat, Jun 29, 2013 at 2:08 PM, Joshua D. Drake <jd@xxxxxxxxxxxxxxxxx> wrote:
On 06/29/2013 09:24 AM, bhanu udaya wrote:
Upper and Lower functions are not right choice when the table is > 2.5
million and where we also have heavy insert transactions.
Prove it. Seriously, just run a test case against it. See how it works for you. Inserts are generally a very inexpensive operation with Postgres.
I doubt, if we can cache the table if there are frequent
inserts/updates. The good idea would be to get the DB to case
insenstive configuration like SQL Server. I would go for this solution,
if postgres supports.
Postgres does not.
And as Jon said, maybe Postgres isn't the right solution for you. That would be a bummer but we can't be all things to all people.
JD
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