How heavy is your usage of TEMPORARY TABLES? I don't use them much myself, but
I'm sure that the others on the list will have something to say in that regard.
To get a better look at MySQL's usage of memory, you could try looking at the output of
SHOW STATUS .
Regards,
Chris
Markus Fischer wrote:
Hello,
I'm investigating a performance problem with mysql server set up. The server is running linux with 1GB ram. I'ld like to tune the configuration of the server to use as much RAM as possible without swapping to the disc because of the big slow down.
The current configuration is as follows (I've just pasted the relevant pieces):
[mysqld] skip-innodb skip-locking set-variable = key_buffer=16M set-variable = max_allowed_packet=200M set-variable = thread_stack=128K bind-address = 127.0.0.1 port = 3306 skip-networking set-variable = query_cache_type=1 set-variable = query_cache_size=64M set-variable = tmp_table_size=50M
The main purpose of the database is a heavily modified forum application based on vBulletin.
One of the biggest table is the 'post' table with consumes about 617M currently; this table is often used in queries for index pages which are the most frequent visited pages; indexes for the relevant column in the WHERE statement are all created. The next tables in size are using 22M and most of them much less.
I'm also having problems in determining accurately how much memory MySQL uses when running on the system; the information provided by ps doesn't seem relieable due the many processes/threads. Getting the currently used memory and whether MySQL needed to swap would be very valueable in chasing down this issue.
I'm also not sure whether the database is swapping temporary tables to the disc or not; is there a way to verify if this is happening?
Other beneficial things would be to know how much memory certain queries need (mostly the queries on index pages).
Besides more physical memory, are the other ways to better tune the server for the 1GB ram? What performance analyses tool are recommended for use with MySQL?
thanks for any advice,
- Markus
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