Re: Large difference between elapsed time and run time for queries
От | Scott Buchan |
---|---|
Тема | Re: Large difference between elapsed time and run time for queries |
Дата | |
Msg-id | 71F044551C53974EB0735B3737EFE2FC08862B@wwwserver обсуждение исходный текст |
Ответ на | Large difference between elapsed time and run time for queries ("Scott Buchan" <sbuchan@technicacorp.com>) |
Список | pgsql-performance |
Thanks for the quick reply. I just upgraded from 7.2 to 7.3 since 7.3 uses a different qsort (BSD-licensed). After running a few tests, I have noticed some performance gains. I think another problem that I was having was due to the way I was performing the tests. I was using the tool "The Grinder" to simulate 300 connections (through JDBC) to the database each running 6 queries without any connection pooling. Once I figure out how to use connection pooling with the Grinder, I will try running the tests again. Do you know of any other performance issues with using Solaris? Thanks for the help, Scott -----Original Message----- From: Tom Lane [mailto:tgl@sss.pgh.pa.us] Sent: Monday, March 10, 2003 3:08 PM To: Scott Buchan Cc: pgsql-performance@postgresql.org Subject: Re: [PERFORM] Large difference between elapsed time and run time for queries "Scott Buchan" <sbuchan@technicacorp.com> writes: > I am simulating 200 user connections each running 6 select queries on 1 > indexed table with 50,000 records. The elapsed time for the queries average > around 2.5 seconds while if I run the query using explain analyze while the > test is running, the run time is around 300 ms although it takes much longer > (few seconds) to display the results. How many rows are these queries returning? AFAICS the differential must be the cost of transmitting the data to the frontend, which of course does not happen when you use explain analyze. (I think, but am not completely sure, that explain analyze also suppresses the CPU effort of converting the data to text form, as would normally be done before transmitting it. But given that you don't see a problem at 100 connections, that's probably not where the issue lies.) > The database is being ran on a sunfire 880 with 4 750mhz > processors with 8 G RAM running solaris 8 We have seen some other weird performance problems on Solaris (their standard qsort apparently is very bad, for example). Might be that you need to be looking at kernel behavior, not at Postgres. regards, tom lane
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