Received: from localhost (unknown [200.46.204.183]) by mail.postgresql.org (Postfix) with ESMTP id 5596364FC7D for ; Sat, 20 Dec 2008 21:33:10 -0400 (AST) Received: from mail.postgresql.org ([200.46.204.86]) by localhost (mx1.hub.org [200.46.204.183]) (amavisd-maia, port 10024) with ESMTP id 99650-08 for ; Sat, 20 Dec 2008 21:33:07 -0400 (AST) X-Greylist: from auto-whitelisted by SQLgrey-1.7.6 Received: from yw-out-2324.google.com (yw-out-2324.google.com [74.125.46.31]) by mail.postgresql.org (Postfix) with ESMTP id D272564FC56 for ; Sat, 20 Dec 2008 21:33:07 -0400 (AST) Received: by yw-out-2324.google.com with SMTP id 3so541391ywj.73 for ; Sat, 20 Dec 2008 17:33:06 -0800 (PST) Received: by 10.64.96.3 with SMTP id t3mr3764171qbb.96.1229823186305; Sat, 20 Dec 2008 17:33:06 -0800 (PST) Received: from oxford.xeocode.com.enterprisedb.com (69-196-135-189.dsl.teksavvy.com [69.196.135.189]) by mx.google.com with ESMTPS id k29sm9866225qba.27.2008.12.20.17.33.04 (version=TLSv1/SSLv3 cipher=RC4-MD5); Sat, 20 Dec 2008 17:33:05 -0800 (PST) To: "Mark Wong" Cc: "pgsql-performance\@postgresql.org" , "Selena Deckelmann" , "Gabrielle Roth" Subject: Re: dbt-2 tuning results with postgresql-8.3.5 In-Reply-To: <70c01d1d0812201654i5f55150ep619a6c7ff094470@mail.gmail.com> (Mark Wong's message of "Sat\, 20 Dec 2008 16\:54\:39 -0800") User-Agent: Gnus/5.11 (Gnus v5.11) Emacs/22.1 (gnu/linux) X-Draft-From: ("nnimap+imap.gmail.com:PG" 101726) References: <70c01d1d0812201654i5f55150ep619a6c7ff094470@mail.gmail.com> From: Gregory Stark Organization: EnterpriseDB Date: Sun, 21 Dec 2008 01:33:02 +0000 Message-ID: <87hc4yuxbl.fsf@oxford.xeocode.com> MIME-Version: 1.0 Content-Type: text/plain; charset=us-ascii X-Virus-Scanned: Maia Mailguard 1.0.1 X-Spam-Status: No, hits=0 tagged_above=0 required=5 tests=none X-Spam-Level: X-Archive-Number: 200812/173 X-Sequence-Number: 32209 "Mark Wong" writes: > To recap, dbt2 is a fair-use derivative of the TPC-C benchmark. We > are using a 1000 warehouse database, which amounts to about 100GB of > raw text data. Really? Do you get conforming results with 1,000 warehouses? What's the 95th percentile response time? -- Gregory Stark EnterpriseDB http://www.enterprisedb.com Ask me about EnterpriseDB's On-Demand Production Tuning