X-Original-To: pgsql-performance-postgresql.org@localhost.postgresql.org Received: from localhost (developer.postgresql.org [64.117.224.193]) by svr1.postgresql.org (Postfix) with ESMTP id 42ED3B438BB for ; Fri, 4 Jul 2003 12:41:21 +0000 (GMT) Received: from svr1.postgresql.org ([64.117.224.193]) by localhost (svr1.postgresql.org [64.117.224.193]) (amavisd-new, port 10024) with ESMTP id 64750-04 for ; Fri, 4 Jul 2003 09:41:10 -0300 (ADT) Received: from TheWorld.com (pcls1.std.com [199.172.62.103]) by svr1.postgresql.org (Postfix) with ESMTP id 7FF25B438AC for ; Fri, 4 Jul 2003 09:41:10 -0300 (ADT) Received: from trouble (pool-151-203-213-193.bos.east.verizon.net [151.203.213.193]) by TheWorld.com (8.12.8p1/8.12.8) with SMTP id h64CfALv023870; Fri, 4 Jul 2003 08:41:11 -0400 From: "Brian Tarbox" To: , "Rafal Kedziorski" , Subject: Re: PostgreSQL vs. MySQL Date: Fri, 4 Jul 2003 08:43:24 -0400 Message-ID: <01b401c34229$dbab6100$01000001@trouble> MIME-Version: 1.0 Content-Type: text/plain; charset="us-ascii" Content-Transfer-Encoding: 7bit X-Priority: 3 (Normal) X-MSMail-Priority: Normal X-Mailer: Microsoft Outlook IMO, Build 9.0.2416 (9.0.2911.0) X-MimeOLE: Produced By Microsoft MimeOLE V5.50.4910.0300 Importance: Normal In-Reply-To: X-Archive-Number: 200307/51 X-Sequence-Number: 2344 I'm actually leaving this list but I can answer this question. Our results were with a single user and we were running Inodb. We were running on RedHat 8.0 / 9.0 with vanilla linux settings. Brian -----Original Message----- From: Michael Mattox [mailto:michael.mattox@verideon.com] Sent: Friday, July 04, 2003 8:36 AM To: Brian Tarbox; Rafal Kedziorski; pgsql-performance@postgresql.org Subject: RE: [PERFORM] PostgreSQL vs. MySQL > I recently took a system from MySQL to Postgres. Same HW, SW, same data. > The major operations where moderately complex queries (joins on 8 tables). > > The results we got was that Postgres was fully 3 times slower than MySql. > We were on this list a fair bit looking for answers and tried all the > standard answers. It was still much much much slower. I'm curious what the usage was. How many concurrent processes were performing the complex queries? I've heard that Postgres does better when the number of concurrent users is high and MySQL does better when the number is low. I have no idea if that is true or not. Michael