Radhika, If the data is 9 million rows, then I would suggest that you leave it as it is, unless the server configuration and the number of users firing queries simultaneously is a matter of concern. Try creating indexes on often used fields and use EXPLAIN to speed performance of the queries ... and of course proper configuration of autovacuum. I have seen query results within a few ms. on similar amount of data on a 2GB RHEL RAID 5 system, so it should not have been an issue. HTH, Shrirang Chitnis ------------------------------------------------------------------------------------------------------ From: pgsql-performance-owner@xxxxxxxxxxxxxx [mailto:pgsql-performance-owner@xxxxxxxxxxxxxx] On Behalf Of Radhika S Sent: Thursday, December 24, 2009 8:12 PM To: pgsql-performance@xxxxxxxxxxxxxx Subject: Performance with partitions/inheritance and multiple tables Hi, We currently have a large table (9 million rows) of which only the last couple of days worth of data is queried on a regular basis. To improve performance we are thinking of partitioning the table. One idea is: Current_data = last days worth archive_data < today (goes back to 2005) The idea being proposed at work is: current_data = today's data prior years data - be broken down into one table per day archive_data - data older than a year. My question is: a) Does postgres suffer a performance hit say if there are 200 child tables. b) What about aggregation between dates in the last year. eg total sales for firm a for the last year. It will need to look up n number of tables. Any ideas, tips, gotchas in implementing partitioning would be welcome. It is a somewhat mission critical (not trading, so not as mission critical) system. How expensive is maintaining so many partitions both in terms of my writing / maintaining scripts and performance. Thanks in advance. Radhika The information contained in this message, including any attachments, is attorney privileged and/or confidential information intended only for the use of the individual or entity named as addressee. The review, dissemination, distribution or copying of this communication by or to anyone other than the intended addressee is strictly prohibited. If you have received this communication in error, please immediately notify the sender by replying to the message and destroy all copies of the original message. -- Sent via pgsql-performance mailing list (pgsql-performance@xxxxxxxxxxxxxx) To make changes to your subscription: http://www.postgresql.org/mailpref/pgsql-performance
