X-Original-To: pgsql-performance-postgresql.org@localhost.postgresql.org Received: from localhost (unknown [64.117.224.130]) by svr1.postgresql.org (Postfix) with ESMTP id 54854D1B524 for ; Sat, 16 Aug 2003 08:38:37 +0000 (GMT) Received: from svr1.postgresql.org ([64.117.224.193]) by localhost (neptune.hub.org [64.117.224.130]) (amavisd-new, port 10024) with ESMTP id 33041-07 for ; Sat, 16 Aug 2003 05:38:26 -0300 (ADT) Received: from smtp.pspl.co.in (unknown [202.54.11.65]) by svr1.postgresql.org (Postfix) with ESMTP id B1ACBD1B523 for ; Sat, 16 Aug 2003 05:38:21 -0300 (ADT) Received: (from root@localhost) by smtp.pspl.co.in (8.12.9/8.12.9) id h7G8fgIg026225 for ; Sat, 16 Aug 2003 14:11:43 +0530 Received: from daithan (daithan.intranet.pspl.co.in [192.168.7.161]) (authenticated bits=0) by persistent.co.in (8.12.9/8.12.9) with ESMTP id h7G8ff3g026202 for ; Sat, 16 Aug 2003 14:11:41 +0530 From: "Shridhar Daithankar" To: pgsql-performance@postgresql.org Date: Sat, 16 Aug 2003 14:10:15 +0530 MIME-Version: 1.0 Content-type: Multipart/Mixed; boundary=Message-Boundary-17717 Subject: Insert performance Reply-To: shridhar_daithankar@persistent.co.in Message-ID: <3F3E3B47.13828.333B51D9@localhost> X-mailer: Pegasus Mail for Windows (v4.12a) X-Virus-Scanned: by amavisd-new at postgresql.org X-Archive-Number: 200308/278 X-Sequence-Number: 3094 --Message-Boundary-17717 Content-type: text/plain; charset=US-ASCII Content-transfer-encoding: 7BIT Content-description: Mail message body Hi all, Couple of days ago, one of my colleague, Rahul Iyer posted a query regarding insert performance of 5M rows. A common suggestion was to use copy. Unfortunately he can not use copy due to some constraints. I was helping him to get maximum out of it. We were playing with a data set of 500K rows on SunOS5.6 and postgresql 7.3.3 Best we could get was 500K records in 355 sec. That's roughly 1400 inserts per sec. This was with default settings and around 10K inserts per transaction. Postgresql was hogging all the CPU during load. Troubled by this, I set up a similar database at home. That is a Athlon XP2000+/512MB machine with a 40GB seagate disk. It is running slackware 9.0 with 2.4.20(IIRC). I have attached the results of my experiements and the code I used to benchmark. It was a simple table with an integer and a varchar(30) field. I was really amazed to see the numbers. First of all, it beat the sunOS machine left and right. Bruce posted some numbers of 9K inserts/sec. Here we see the same. Secondly I also played with filesystems. Ext3 does not seem to be performing as good. Reiser and ext2 did fine. Unfortunately the kernel didn't support XFS/JFS so could not test them. I have also attached the raw benchmark data in kspread format, for the curious. Didn't exported to anything else because kspread had troubles with exporting formula values. I also noticed that reiser takes hell lot more CPU than ext2 and ext3. It nearly peaks out all CPU capacity. Not so with ext2. Comments? One thing I can't help to notice is sunOs is not on same scale. The sunOS machine is a 1GB RAM machine. It has oracle and mysql running on it and have 300MB swap in use but I am sure it has SCSI disk and in all respect I would rather expect a RISC machine to perform better than an athlon XP machine, at least for an IO. If you want me to post details of sparc machine, please let me know how do I find it. I have never worked with sparcs earlier and have no intention of doing this again..:-) Bye Shridhar -- Fourth Law of Applied Terror: The night before the English History mid-term, your Biology instructor will assign 200 pages on planaria.Corollary: Every instructor assumes that you have nothing else to do except study for that instructor's course. --Message-Boundary-17717 Content-type: Application/Octet-stream; name="insert.c"; type=Program-source Content-disposition: attachment; filename="insert.c" Content-transfer-encoding: BASE64 I2luY2x1ZGUgPHN0ZGlvLmg+DQojaW5jbHVkZSA8bGlicHEtZmUuaD4NCiNp bmNsdWRlIDxzdGRsaWIuaD4NCg0KaW50IG1haW4oaW50IGFyZ2MsY2hhciAq KmFyZ3YpDQp7DQogUEdjb25uICpjb249UFFjb25uZWN0ZGIoImRibmFtZT10 ZXN0MSIpOw0KIFBHcmVzdWx0ICpyZXM7DQogaW50IHRzaXplLHRjb3VudCxp Ow0KDQogaWYoUFFzdGF0dXMoY29uKT09Q09OTkVDVElPTl9CQUQpDQogew0K ICBmcHJpbnRmKHN0ZGVyciwiRGF0YWJhc2UgY29ubmVjdGlvbiBlcnJvciAl c1xuIixQUWVycm9yTWVzc2FnZShjb24pKTsNCiAgZXhpdCgtMSk7DQogfQ0K 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