Use indexes before thinking about partitions. -----Original Message----- From: Andrés Tello [mailto:mr.crip...@gmail.com] Sent: Thursday, July 15, 2010 8:44 AM To: mysql Subject: Mysql 4 and or Partitions.
Ok... I solved my mistery of the slow 22G table.... rebuild the kernel to support memory and now things are working. But still quite slow. I do sum() operations over the 22G table. I'm using the latest version of mysql 4... (I WILL migrate soon, I promise), one thing I have notice, is that operations over that 22G table, seasuring the I/O with iostat never surpass the 23mb/s for reading... even if I test the IO of the array, it can easily give me 300mb/s for reads... and like 150 for random reads... first of all, is there any way to squeeze more speed out from mysql 4? No... I imagined that... So, my next step is migate to a newer version of mysql ( YEY ^_^ )... I have read a few about partitions. The specific query I'm making is a query which do a sum filtered over a date field. What would be the best approach to partition this table? Can I mix innodb with partioned tables and still have acid compliance? The split in several partitions creates more lecture threads or how parelelization over partitions works? And last, does mysql 4 support partitions? XD tia. This message contains confidential information and is intended only for the individual named. If you are not the named addressee, you are notified that reviewing, disseminating, disclosing, copying or distributing this e-mail is strictly prohibited. Please notify the sender immediately by e-mail if you have received this e-mail by mistake and delete this e-mail from your system. E-mail transmission cannot be guaranteed to be secure or error-free as information could be intercepted, corrupted, lost, destroyed, arrive late or incomplete, or contain viruses. The sender therefore does not accept liability for any loss or damage caused by viruses or errors or omissions in the contents of this message, which arise as a result of e-mail transmission. [FriendFinder Networks, Inc., 220 Humbolt court, Sunnyvale, CA 94089, USA, FriendFinder.com -- MySQL General Mailing List For list archives: http://lists.mysql.com/mysql To unsubscribe: http://lists.mysql.com/mysql?unsub=arch...@jab.org
