Difference between revisions of "MySQL Tunning"
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== User case 2 == | == User case 2 == | ||
+ | '''Application''' | ||
+ | * OpenKM Community Version | ||
+ | |||
'''Server information''' | '''Server information''' | ||
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* CPU: Intel Xeon E5606 @2.13GHz | * CPU: Intel Xeon E5606 @2.13GHz | ||
* RAM: 4GB | * RAM: 4GB |
Revision as of 11:37, 29 September 2013
Take this documentation as is, not as a definitive guide to tunning MySQL. There're a lot of information and knowledge should be read before change MySQL configuration. The documentation has been created based on experice shared by OpenKM server administrator users.
Useful links should read:
- MySQL: InnoDB Performance Tuning Tips
- MySQL: The MySQL Query Cache
- InnoDB - High disk write I/O on ibdata1 file and ib_logfile0
User case 1
Application
- OpenKM Community Version
Server information
- Virtualized Windows Server 2008
- CPU: Intel Xeon X3470 @2,93GHz
- RAM: 7GB
- JVM settings for Tomcat: -Xms 3072 -Xmx 3072 -XX:PermSize=256m -XX:MaxPermSize=512m
- Repository is 1GB
MySQL my.ini changes
- innodb_buffer_pool_size=1792M
- innodb_additional_mem_pool_size=16M
- innodb_log_file_size=256M
- innodb_log_buffer_size=8M
Using MySQL server InnoDB engine with the default configuration parameters in my.ini file can cause a serious performance bottleneck in applications with high database read write activity. MySQL should have enough RAM to be able to cache the repository and avoid the high Disk I/O activity.
The most important parameters are:
- innodb_buffer_pool_size
- innodb_additional_mem_pool_size
- innodb_log_file_size
- innodb_log_buffer_size
According to database experts, innodb_buffer_pool_size should occupy the 70 percent of RAM of a dedicated database server!!! |
Considerations Repository is 1GB so 1792M is enough RAM for innodb_buffer_pool_size. The larger your repository is the more memory you need to allocate to innodb_buffer_pool_size. If you are using x86 mysql server you cannot allocate RAM larger than 2GB.
Information collected from OpenKM forum post.
User case 2
Application
- OpenKM Community Version
Server information
- CPU: Intel Xeon E5606 @2.13GHz
- RAM: 4GB
- System: Windows server 2008, 64bit
- JAVA_OPTS=-Xms256m -Xmx1024m -XX:PermSize=256m -XX:MaxPermSize=512m -Djava.awt.headless=true -Dfile.encoding=utf-8
- Database size:2.5G
- Repository size:40GB
- 100,000 nodes(folders + documents)
MySQL my.ini changes
- query_cache_size=0
- table_open_cache=2000
- tmp_table_size=16M
- thread_cache_size=9
- myisam_max_sort_file_size=100G
- myisam_sort_buffer_size=32M
- key_buffer_size=8M
- read_buffer_size=64K
- read_rnd_buffer_size=256K
- sort_buffer_size=256K
- innodb_additional_mem_pool_size=16M
- innodb_log_buffer_size=8M
- innodb_buffer_pool_size=1042M
Results
Before optimization the login time was about 45-55 seconds with a lot of hard-disk I/O usage. After the mysql optimization login takes about 10 seconds.
Observation: with more RAM will be possible get a more higger mysql buffer and probably better perfomance |
Information collected OpenKM Forum post