My only comment is what is the layout of your data (just one table with indexes?). I found on my date with dozens of joins my view speed was not good for me to use, so I made a flat file with no joins and it flies.
Joel Fradkin Wazagua, Inc. 2520 Trailmate Dr Sarasota, Florida 34243 Tel. 941-753-7111 ext 305 [EMAIL PROTECTED] www.wazagua.com Powered by Wazagua Providing you with the latest Web-based technology & advanced tools. C 2004. WAZAGUA, Inc. All rights reserved. WAZAGUA, Inc This email message is for the use of the intended recipient(s) and may contain confidential and privileged information. Any unauthorized review, use, disclosure or distribution is prohibited. If you are not the intended recipient, please contact the sender by reply email and delete and destroy all copies of the original message, including attachments. -----Original Message----- From: [EMAIL PROTECTED] [mailto:[EMAIL PROTECTED] On Behalf Of Matt Olson Sent: Monday, May 09, 2005 9:10 PM To: pgsql-performance@postgresql.org Subject: [PERFORM] Prefetch I wanted to get some opinions about row prefetching. AFAIK, there is no prefetching done by PostgreSQL; all prefetching is delegated to the operating system. The hardware (can't say enough good things about it): Athlon 64, dual channel 4GB ram 240GB usable 4 disk raid5 (ATA133) Fedora Core 3 PostgreSQL 7.4.7 I have what is essentially a data warehouse of stock data. Each day has around 30,000 records (tickers). A typical operation is to get the 200 day simple moving average (of price) for each ticker and write the result to a summary table. In running this process (Perl/DBI), it is typical to see 70-80% I/O wait time with postgres running a about 8-9%. If I run the next day's date, the postgres cache and file cache is now populated with 199 days of the needed data, postgres runs 80-90% of CPU and total run time is greatly reduced. My conclusion is that this is a high cache hit rate in action. I've done other things that make sense, like using indexes, playing with the planner constants and turning up the postgres cache buffers. Even playing with extream hdparm read-ahead numbers (i.e. 64738), there is no apparent difference in database performance. The random nature of the I/O drops disk reads down to about 1MB/sec for the array. A linear table scan can easily yield 70-80MB/sec on this system. Total table size is usually around 1GB and with indexes should be able to fit completely in main memory. Other databases like Oracle and DB2 implement some sort of row prefetch. Has there been serious consideration of implementing something like a prefetch subsystem? Does anyone have any opinions as to why this would be a bad idea for postgres? Postges is great for a multiuser environment and OLTP applications. However, in this set up, a data warehouse, the observed performance is not what I would hope for. Regards, Matt Olson Ocean Consulting http://www.oceanconsulting.com/ ---------------------------(end of broadcast)--------------------------- TIP 8: explain analyze is your friend ---------------------------(end of broadcast)--------------------------- TIP 5: Have you checked our extensive FAQ? http://www.postgresql.org/docs/faq
