Re: User concurrency thresholding: where do I look?

From: Alvaro Herrera <alvherre(at)commandprompt(dot)com>
To: Josh Berkus <josh(at)agliodbs(dot)com>
Cc: pgsql-performance(at)postgresql(dot)org
Subject: Re: User concurrency thresholding: where do I look?
Date: 2007-07-19 15:49:12
Message-ID: 20070719154912.GG6538@alvh.no-ip.org
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Josh Berkus wrote:
> Folks,
>
> I've run into this a number of times with various PostgreSQL users, so we
> tested it at Sun. What seems to be happening is that at some specific number
> of connections average throughput drops 30% and response time quadruples or
> worse. The amount seems to vary per machine; I've seen it as variously 95,
> 1050, 1700 or 2800 connections. Tinkering with postgresql.conf parameters
> doesn't seem to affect this threshold.
>
> As an example of this behavior:
>
> Users Txn/User Resp. Time
> 50 105.38 0.01
> 100 113.05 0.01
> 150 114.05 0.01
> 200 113.51 0.01
> 250 113.38 0.01
> 300 112.14 0.01
> 350 112.26 0.01
> 400 111.43 0.01
> 450 110.72 0.01
> 500 110.44 0.01
> 550 109.36 0.01
> 600 107.01 0.02
> 650 105.71 0.02
> 700 106.95 0.02
> 750 107.69 0.02
> 800 106.78 0.02
> 850 108.59 0.02
> 900 106.03 0.02
> 950 106.13 0.02
> 1000 64.58 0.15
> 1050 52.32 0.23
> 1100 49.79 0.25
>
> Tinkering with shared_buffers has had no effect on this threholding (the above
> was with 3gb to 6gb of shared_buffers). Any ideas on where we should look
> for the source of the bottleneck?

Have you messed with max_connections and/or max_locks_per_transaction
while testing this? The lock table is sized to max_locks_per_xact times
max_connections, and shared memory hash tables get slower when they are
full. Of course, the saturation point would depend on the avg number of
locks acquired per user, which would explain why you are seeing a lower
number for some users and higher for others (simpler/more complex
queries).

This is just a guess though. No profiling or measuring at all, really.

--
Alvaro Herrera http://www.amazon.com/gp/registry/5ZYLFMCVHXC
"How amazing is that? I call it a night and come back to find that a bug has
been identified and patched while I sleep." (Robert Davidson)
http://archives.postgresql.org/pgsql-sql/2006-03/msg00378.php

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