Re: Caching of Queries
От | Gaetano Mendola |
---|---|
Тема | Re: Caching of Queries |
Дата | |
Msg-id | 415303F0.3050409@bigfoot.com обсуждение исходный текст |
Ответ на | Re: Caching of Queries ("Jason Coene" <jcoene@gotfrag.com>) |
Ответы |
Re: Caching of Queries
|
Список | pgsql-performance |
Jason Coene wrote: > I'm not an expert, but I've been hunting down a killer performance problem > for a while now. It seems this may be the cause. > > At peak load, our database slows to a trickle. The CPU and disk utilization > are normal - 20-30% used CPU and disk performance good. For a peak load 20-30% used CPU this mean you reached your IO bottleneck. > All of our "postgres" processes end up in the "semwai" state - seemingly > waiting on other queries to complete. If the system isn't taxed in CPU or > disk, I have a good feeling that this may be the cause. I didn't know that > planning queries could create such a gridlock, but based on Mr Pink's > explanation, it sounds like a very real possibility. > > We're running on SELECT's, and the number of locks on our "high traffic" > tables grows to the hundreds. If it's not the SELECT locking (and we don't > get that many INSERT/UPDATE on these tables), could the planner be doing it? > > At peak load (~ 1000 queries/sec on highest traffic table, all very > similar), the serialized queries pile up and essentially create a DoS on our > service - requiring a restart of the PG daemon. Upon stop & start, it's > back to normal. Give us informations on this queries, a explain analyze could be a good start point. > I've looked at PREPARE, but apparently it only lasts per-session - that's > worthless in our case (web based service, one connection per data-requiring > connection). Trust me the PREPARE is not doing miracle in shenarios like yours . If you use postgres in a web service environment what you can use is a connection pool ( look for pgpoll IIRC ), if you use a CMS then try to enable the cache in order to avoid to hit the DB for each request. Regards Gaetano Mendola
В списке pgsql-performance по дате отправления: