I’d like to share with the Web Collections my knowledge about tuning / tweaking mysql.
First of all, sorry if my English is not perfect. Maybe some sentences may be difficult to understand. So do not hesitate to ask me for explanations :-p
DO NOT CHANGE your setting without understanding what you do.
Make a backup of your my.cnf before editing the /etc/my.cnf
DO THESE CHANGES AT YOUR OWN RISKS.
My article is only to help you to more well understand how tuning mysql.
Optimising mysql is very well commented on the net, and you’ll find huge information on how to do this. There is never “best parameters”, the best parameters is those fits your needs, box hardware, mysql usage…
So, I’ll not give the best parameters but rather how to define these ones. Make some tests, and you’ll quickly find your own parameters.
I’ll give you at the end of this post some web pointers which may help you.
There a lot of available parameters but only few one are very important to tweak your mysql box.
The most important variables are (for me, and it is not exhaustive)
First of all, how to find your variable, and the mysql usage ?
from mysql :
or from command line :
*PROCESS / STATUS
from Mysql :
or from command line
mysqladmin –i10 processlist extended-status
*SOME USEFUL COMMAND FOR YOU BOX USAGE
* OPTIMISING MYSQL
To obtain the stat of your mysql server since it has been loaded, run mysqladmin processlist extended-status as mentionned above.
1 – The two most important variables : Table_cache and Key_buffer_size
* If Opened_tables is big, then your table_cache variable is probably too small.
This is the first serious problem. “The table_cache is the number of open tables for all threads. MySQL, being multi-threaded, may be running many queries on the table at one time, and each of these will open a table.” Therefore, even though we only have a few tables, we will need many more open_tables.
The Opened_tables value is high and shows the number of cache misses. Getting the table_cache size correct is one of the two best things you can do to improve performance.
* If Key_reads is big, then your key_buffer_size variable is probably too small. The cache hit rate can be calculated with Key_reads/Key_read_requests.
(cache hit rate = 0.0028)
“The key_buffer_size affects the size of the index buffers and the speed of index handling, particularly reading.” The MySQL manual (and other sources) say that “Key_reads/Key_read_request ratio should normally be < 0.01.” This is the other most important thing to get correct. Here the value seems to be correct (< 0.01)
Also check key_write_requests and key_writes. The key_writes/key_writes_request should normally be < 1 (near 0.5 seems to be fine)
Here is a very interesting web pointer : http://www.databasejournal.com/featu…0897_1402311_3
2 – Others important settings are : Wait_timeout, max_connexion, thread_cache
A little explanation :
Generaly you have a lot of mysql process that are sleeping because wait_timeout are not set low. So I make sure that the wait_timeout is set to a very low value: 15 seconds (for me) . That means MySQL would close any connection that was idle for more than 15 seconds.
The problem is you also have to increment your max_connexion (mine is set to 300) to be sure there is not a lot of idle clients holding connections and blocking out new clients from connecting and getting real work done. The pbm is that the box has to create new threads (MySQL is a multi-threaded server) at a very high rate. That may sucks up a measurable amount of CPU time.
So the solution is to use the Thread_cache (from mysql doc) :
“How many threads we should keep in a cache for reuse. When a client disconnects, the client’s threads are put in the cache if there aren’t more than thread_cache_size threads from before. All new threads are first taken from the cache, and only when the cache is empty is a new thread created. This variable can be increased to improve performance if you have a lot of new connections. (Normally this doesn’t give a notable performance improvement if you have a good thread implementation.) By examing the difference between the Connections and Threads_created you can see how efficient the current thread cache is for you.”
* If Threads_created is big, you may want to increase the thread_cache_size variable. The cache hit rate can be calculated with Threads_created/Connections.
This is the second problem that should be fixed. A cache size of zero is the default for my-medium.cnf but the recommended size in my-large.cnf is 8.
you may try this formula : table_cache = opened table / max_used_connection
3 – Finally, you may also have a look at : tmp_table_size and Handler_read_rnd / Handler_read_rnd_next
* If Created_tmp_disk_tables is big, you may want to increase the tmp_table_size variable to get the temporary tables memory-based instead
of disk based.
Created_tmp_disk_tables are the “number of implicit temporary tables on disk created while executing statements” and Created_tmp_tables are
memory-based. Obviously it is bad if you have to go to disk instead of memory. About 2% of temp tables go to disk, which doesn’t seem too bad
but increasing the tmp_table_size probably couldn’t hurt either.
* If Handler_read_rnd is big, then you probably have a lot of queries that require MySQL to scan whole tables or you have joins that don’t use
These values are high, that we could probably stand to improve the indexes and queries.
I hope this will help some of you to more understand how it is possible to optimise MYSQL to fit your needs, hardaware box, or mysql current usage.
Maybe there is others tweaks to perform, but I know well only these ones. I did setup using these ones on differents mysql box, and generally it did help us to increase performance without have to change hardware (our boxes have 2GB ram)
I forgot to tell you two or three importants things like :
Used MySQL memory = key_buffer + max_connections * (join_buffer + record_buffer + sort_buffer + thread_stack + tmp_table_size)
Notice the max_connexion and the multiplier. connexion increase = memory usage increase too.
Notice key_buffer for a given memory : more you add mem to key buffer, less connexion is less is key buffer, more connexion is
If you change one of these settings for a high value, you system may swap. If you system swap, try lot decrease these values
Also, about table_cache :
Increasing the size of the table cache may really help you. But you must be careful not to make the value too large. All operating systems have a limit on the number “open file pointer” (sorry in french it is called pointer, maybe descriptors is the good translation) a single process may have.
If MySQL tries to open a lot of files, the OS may refuse it and MySQL will generate error message in the error log.