Re: big pg 6.5 and 7.1 problem in simple application
От | Eric G. Miller |
---|---|
Тема | Re: big pg 6.5 and 7.1 problem in simple application |
Дата | |
Msg-id | 20010502183706.C4206@calico.local обсуждение исходный текст |
Ответ на | big pg 6.5 and 7.1 problem in simple application (Aaron Brashears <gila@gila.org>) |
Список | pgsql-general |
On Wed, May 02, 2001 at 12:23:14PM -0700, Aaron Brashears wrote: > We have a simple ad tracking application, which has a (mostly) fixed > table size where each row represents a particular ad. We have about 70 > rows in the database and use php scripts in apache which connect over > odbc, read a single row, increment a counter, and update that > row. We're performing about 30 updates a second and after a few > minutes the postmaster either hangs or dumps core. > > We've tried this scenario on both pg 6.5 and 7.1 on redhat linux, from > redhat's rpms and built from source with the same results. We launch > 256 backends with a reasonable shared buffer size. We're using the > unixodbc's odbc driver version 2.0.5. I don't think we're doing row > locks for the query, but that shouldn't crash it - it should just give > us bad data. > > The tables, selects, and update calls are all pretty simple, so I'm > baffled by this behavior. Has anyone else seen this problem, or have a > solution? I'll make a WAG: 1) odbc adds overhead to the queries... 2) 30 updates per second possibly leads to swamping postmaster with connection attempts (and/or it hits the limit on connections), unless there's some connection pooling... Can't say this'd work, but inserts are generally faster than updates, especially if there aren't any key checks. So, maybe it'd work better to insert into a counter table an ID for the advertisement and have a timestamp with default now(). Then have a cron job running at appropriate intevals to update the summary stats, then truncate the table (wrapped in a transaction). Hmm, the timestamp may be unnecessary. Can't say if it'd solve the problem. There'd be a little bottleneck everytime the summary stats are updated. -- Eric G. Miller <egm2@jps.net>
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