On 12/6/2005 4:08 AM, Assaf Yaari wrote:
> Thanks Bruno,
>
> Issuing VACUUM FULL seems not to have influence on the time.
> I've added to my script VACUUM ANALYZE every 100 UPDATE's and run the
> test again (on different record) and the time still increase.
I think he meant
- run VACUUM FULL once,
- adjust FSM settings to database size and turnover ratio
- run VACUUM ANALYZE more frequent from there on.
Jan
>
> Any other ideas?
>
> Thanks,
> Assaf.
>
>> -----Original Message-----
>> From: Bruno Wolff III [mailto:bruno@wolff.to]
>> Sent: Monday, December 05, 2005 10:36 PM
>> To: Assaf Yaari
>> Cc: pgsql-performance@postgresql.org
>> Subject: Re: Performance degradation after successive UPDATE's
>>
>> On Mon, Dec 05, 2005 at 19:05:01 +0200,
>> Assaf Yaari <assafy@mobixell.com> wrote:
>> > Hi,
>> >
>> > I'm using PostgreSQL 8.0.3 on Linux RedHat WS 3.0.
>> >
>> > My application updates counters in DB. I left a test over the night
>> > that increased counter of specific record. After night running
>> > (several hundreds of thousands updates), I found out that the time
>> > spent on UPDATE increased to be more than 1.5 second (at
>> the beginning
>> > it was less than 10ms)! Issuing VACUUM ANALYZE and even
>> reboot didn't
>> > seemed to solve the problem.
>>
>> You need to be running vacuum more often to get rid of the
>> deleted rows (update is essentially insert + delete). Once
>> you get too many, plain vacuum won't be able to clean them up
>> without raising the value you use for FSM. By now the table
>> is really bloated and you probably want to use vacuum full on it.
>>
>
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