Hello all,
We are using Postgres 7.3 with JBoss 3.2.3 on a Linux Fedora
1.0 box.
When I am looking at CPU activity with “top”, I
often see something like:
PID USER PRI NI
SIZE RSS SHARE STAT %CPU %MEM TIME CPU COMMAND
14154 postgres 25 0 3592 3592
2924 R
Tom Lane <[EMAIL PROTECTED]> writes:
> Modding by a *non* power of 2 (esp. a prime) mixes the bits quite well,
> and is likely faster than any multiple-instruction way to do the same.
>
> The quoted article seems to be by someone who has spent a lot of time
> counting assembly cycles and none at
I mentioned this at the tail end of a long post in another thread, but
I have been researching how to configure Postgres for a RAID 10 SAME
configuration as described in the Oracle paper "Optimal Storage
Configuration Made Easy"
(http://otn.oracle.com/deploy/availability/pdf/oow2000_same.pdf). H
Chris Browne wrote:
The results have not been totally conclusive...
- Several have found JFS to be a bit faster than anything else on
Linux, but some data loss problems have been experienced;
- ext2 has the significant demerit that with big filesystems, fsck
will "take forever" to run;
- e
Hi,
I have query:
select pg_stat_get_numscans(76529669),
pg_stat_get_blocks_fetched(76529669),
pg_stat_get_blocks_hit(76529669);
The result is:
pg_stat_get_numscans | pg_stat_get_blocks_fetched |
pg_stat_get_blocks_hit
--++
Joseph Shraibman <[EMAIL PROTECTED]> writes:
> scott.marlowe wrote:
>
> > I think you might be interested in materialized views. You could create this
> > as a materialized view which should be very fast to just select * from.
>
> That seems to be the count table I envisioned. It just hides th
On Mon, May 03, 2004 at 18:08:23 +0200,
Timo Nentwig <[EMAIL PROTECTED]> wrote:
>
> This is very slow:
This kind of question should be asked on the performance list.
>
> SELECT urls.id FROM urls WHERE
> (
> urls.id <> ALL (SELECT html.urlid FROM html)
> );
>
> ...while this is quite fa
scott.marlowe wrote:
I think you might be interested in materialized views. You could create
this as a materialized view which should be very fast to just select *
from.
That seems to be the count table I envisioned. It just hides the
details for me. It still has the problems of an extra UPDA
On Mon, 3 May 2004, Joseph Shraibman wrote:
> I have a big table with some int fields. I frequently need to do
> queries like:
>
> SELECT if2, count(*) FROM table WHERE if1 = 20 GROUP BY if2;
>
> The problem is that this is slow and frequently requires a seqscan. I'd
> like to cache the resul
The comparison is actually dead on. If you have lots of write through / read
behind cache, RAID 5 can run very quickly, until the write rate overwhelms
the cache - at which point the 4 I/O per write / 2 per read stops it. This
means that RAID 5 works, except when stressed, which is a bad paradigm.
I am wondering if your wait is caused by contention between
pg_autovacuum and the DELETE that is running. Your large Pg blocksize
(32K) *may* be contributing to any possible contention as well. Maybe
try disabling pg_autovacuum to see if there is any change in behaviour.
Also going through my h
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