Hi,
I am trying to optimize our DB server. We have one table which has 1.3M
entries, and the keys are GUIDs (so the key space is large). However, I
have it all indexed. The performance was iffy, though, so I increased
memory allocation, and the searches on the indexed fields seem to be OK
now. Still, a simple count(field) on this table still takes, like, 2
minutes! I am guessing i am missing something obvious, but I read
through a few MySQL optimization guides, and it seems like i am covering
my bases.
Here is the relevant slice of my my.cnf:
#
# * Fine Tuning
#
key_buffer = 256M
max_allowed_packet = 64M
thread_stack = 512K
thread_cache_size = 32
#
# * Query Cache Configuration
#
query_cache_limit = 32M
query_cache_size = 256M
query_cache_type = 1
table_cache = 512
sort_buffer_size = 32M
I am running Ubuntu 7.04, with 1GB of RAM. The relevant fields are all
indexed, but I can't imagine why a simple count() would take so long,
when the actual query by value on the same field is effectively instant
(after my cache setting expansion).
Does anyone have an idea of what I am missing? Also, if you think any
of the above settings seem wrong for a server with 1GB of RAM, please
let me know.
--
Victor Danilchenko
Senior Software Engineer, AskOnline.net
[EMAIL PROTECTED] - 617-273-0119
--
MySQL General Mailing List
For list archives: http://lists.mysql.com/mysql
To unsubscribe: http://lists.mysql.com/[EMAIL PROTECTED]
