I have already checked all the statements present in the trigger, no one is
taking more then 20 ms.
I am using 8-Processor, Quad-Core Server ,CPU utilization is more then 90-95
% for all. (htop result)
DB has 960 concurrent users.
io : writing 3-4 MB per second or less (iotop result).
Scenario : All insert are waiting for previous insert to complete. Cant
we avoid this situation ?
What is the "max_connections" postgresql support?
Thanks & regards,
On Mon, Jun 27, 2011 at 6:32 PM, <tv(at)fuzzy(dot)cz> wrote:
> > Hi,
> > DB : POSTGRES 8.4.8
> > OS : Debian
> > HD : SAS 10k rpm
> > Shared_buffer is 4096 25 % of RAM , effective_cache is 8GB 75% of RAM
> > After insert trigger is again calling 2 more trigger and insert record in
> > another table depends on condition.
> > with all trigger enable there are 8 insert and 32 updates(approx. update
> > is
> > depends on hierarchy)
> it's very difficult to give you reliable recommendations with this little
> info, but the triggers are obviously the bottleneck. We have no idea what
> queries are executed in them, but I guess there are some slow queries.
> Find out what queries are executed in the triggers, benchmark each of them
> and make them faster. Just don't forget that those SQL queries are
> executed as prepared statements, so they may behave a bit differently than
> plain queries. So use 'PREPARE' and 'EXPLAIN EXECUTE' to tune them.
> > Plz explain multiple connections. Current scenario application server is
> > sending all requests.
> PostgreSQL does not support parallel queries (i.e. a query distributed on
> multiple CPUs) so each query may use just a single CPU. If you're CPU
> bound (one CPU is 100% utilized but the other CPUs are idle), you can
> usually parallelize the workload on your own - just use multiple
> But if you're using an application server and there are multiple
> connections used, this is not going to help you. How many connections are
> active at the same time? Are the CPUs idle or utilized?
In response to
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