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From:Gavin Towey Date:July 15 2010 5:16pm
Subject:RE: Mysql 4 and or Partitions.
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Use indexes before thinking about partitions.

-----Original Message-----
From: Andrés Tello [mailto:mr.criptos@stripped]
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

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


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Mysql 4 and or Partitions.AndrĂ©s Tello15 Jul
  • RE: Mysql 4 and or Partitions.Gavin Towey15 Jul