In this tutorial I'll show you how you can optimize MySQL load.
Below are notes on some of the important variables, I took down while tuning the config file:
MySQL 4 provides one feature that can prove very handy - a query cache. In a situation where the database has to repeatedly run the same queries on the same data set, returning the same results each time, MySQL can cache the result set, avoiding the overhead of running through the data over and over and is extremely helpful on busy servers.
The value of key_buffer_size is the size of the buffer used with indexes. The larger the buffer, the faster the SQL command will finish and a result will be returned. The rule-of-thumb is to set the key_buffer_size to at least a quarter, but no more than half, of the total amount of memory on the server. Ideally, it will be large enough to contain all the indexes (the total size of all .MYI files on the server).
A simple way to check the actual performance of the buffer is to examine four additional variables: key_read_requests, key_reads, key_write_requests, and key_writes.
If you divide the value of key_read by the value of key_reads_requests, the result should be less than 0.01. Also, if you divide the value of key_write by the value of key_writes_requests, the result should be less than 1.
The default is 64. Each time MySQL accesses a table, it places it in the cache. If the system accesses many tables, it is faster to have these in the cache. MySQL, being multi-threaded, may be running many queries on the table at one time, and each of these will open a table. Examine the value of open_tables at peak times. If you find it stays at the same value as your table_cache value, and then the number of opened_tables starts rapidly increasing, you should increase the table_cache if you have enough memory.
The sort_buffer is very useful for speeding up myisamchk operations (which is why it is set much higher for that purpose in the default configuration files), but it can also be useful everyday when performing large numbers of sorts.
The read_rnd_buffer_size is used after a sort, when reading rows in sorted order. If you use many queries with ORDER BY, upping this can improve performance. Remember that, unlike key_buffer_size and table_cache, this buffer is allocated for each thread. This variable was renamed from record_rnd_buffer in MySQL 4.0.3. It defaults to the same size as the read_buffer_size. A rule-of-thumb is to allocate 1KB for each 1MB of memory on the server, for example 1MB on a machine with 1GB memory.
If you have a busy server that's getting a lot of quick connections, set your thread cache high enough that the Threads_created value in SHOW STATUS stops increasing. This should take some of the load off of the CPU.
"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 all the time.
Move to innodb tables. MyISAM blocks when a temp table is created and you will see your server getting slower and slower. If you move to InnoDB your server will be able to handle your queries better.
MySQL InnoDB performance tuning on Large Databases
MySQL is one of the most popular opensource database. It supports several pluggable storage engines, MyISAM manages non-transactional tables and it is good performer especially on MySQL 5.1. The InnoDB and BDB storage engines provide transaction-safe tables. They were acquired by Oracle not so long ago. The MEMORY storage engine which formerly known as heap storage engine provides in-memory tables.
The InnoDB supports both file system and raw disks on Solaris. It does row level locking.
MySQL InnoDB allocates a few types of memory buffers out of the heap. The main buffer that is sized by innodb_buffer_pool_size is used to cache data and indexes of the tables. Each buffer block is 16k bytes. There is a dedicated thread that does pread to bring in the data to the buffer from the disk. There are also other types of memory buffers like sort buffer, log buffer, query_cache buffer. This is how to monitor MySQL statistics to get idea of whether need to increase those buffer size.
mysql> show innodb status
It is important to understand how MySQL executes select queries by explain. That can help optimize the select performance.
MySQL is single process multi-threaded. For each new user connection, there is 1 threaded created from MySQL. We
can control the number of concurrent threads that can run simultaneous by limiting innodb_thread_concurrency. Normally on T2000 we set it equal to the number of cpus.
There is no dedicated log write threads. There is one io thread that wakes up frequently to do group writes but in our evaluation I rarely see it fires. Each user thread could issue pwrite when the transaction is commited. And it is serialized! The default innodb_flush_log_at_trx_commit is 1, meaning that after each transaction is committed, there is a pwrite first, then followed by fsflush. If set innodb_flush_log_at_trx_commit to 0, the performance would improve quite dramatically, pwrite and fsflush is only done every one second instead of after each transaction commit. But the risk is that customer might lose one second of data in case of power loss. innodb_flush_log_at_trx_commit = 2 would issue pwrite after each commit but fsflush every 1 second. If log disk response time is not fast enough, it could become a huge performance bottleneck. It is very important to size enough IOPs for log disks. We have seen performance being doubled or tripled right away by using a few more disks for the log files. For performance purpose, if you use filesystems to store datafiles and log files, you should use forcedirectio.
This is an example of how to use Solaris Volume Manager(svm) to create a soft partition and then set up the logfile links to this location
metadb -d -f c1t0d0s7 c1t1d0s7
metadb -a -f c1t0d0s7 c1t1d0s7
Then create a concatenation
metainit d10 1 4 c1t0d0s0 c1t1d0s0 c1t2d0s0 c1t3d0s0
You can stop here and do newfs on /dev/md/rdsk/d10 or continue to create a soft partition(for example 10G) on d10
metainit d101 -p d10 10G
mount -o forcedirectio /dev/md/dsk/d101 /logs
There is innodb_flush_method. The default is performing very well on Solaris which uses fsync() to flush both the data
and log files.
When MySQL starts, there are 10 threads created. Thread 1 handles network connections and create new threads for new user connections. Then there are 4 io threads. There is 1 log write thread doing group commits once a while. There is one insert thread, InnoDB stores data physically by its primary key order and insertion would not cause random reads on the disk, but for the non unique secondary index insert, it could cause a lot of random reads. So to avoid that, InnoDB checks whether the secondary index page is in the buffer pool. If it is, InnoDB does the insertion directly to the index page. If the index page is not found in the buffer pool, InnoDB inserts the record to a special insert buffer structure. The insert buffer is kept so small that it fits entirely in the buffer pool, and insertions can be done very fast. Periodically, the insert buffer is merged into the secondary index trees in the database. Often it is possible to merge several insertions to the same page of the index tree, saving disk I/O operations. There is another thread that I am not sure its purpose. Thread 6 is handling rollback. Thread 7 and 8 are monitoring thread. Thread 9 is the master thread. Thread 10 is the signal handler thread
Here are a few steps of how to tune MySQL InnoDB performance on T2000 or other Solaris platforms
Choose at least MySQL version 5.0.22. In my experience MySQL 4.1 has more user locks inside hence it doesn't scale well. MySQL 5.1 beta is even better than 5.0.
If your database size is more than 4GB, using MySQL 64bit is better because you can use more than 4GB memory for innoDB database buffers.
MySQL 5.0.22 64bit from MySQL website is a pretty good performer. But in case if you want to compile it on your own on Solaris, You can refer a good whitepaper from Jenny Chen from Sun Microsystem. Compile time can be reduced to a few minutes using parallel build "dmake" in sun studio 11
You can use libumem or libmtmalloc to get scalable memory allocation performance on multi-threaded MySQL. The way to do this is before mysql is started, setenv LD_PRELOAD_64 /usr/lib/sparcv9/libumem.so. This example is for 64bit MySQL
Always keep an eye on MySQL internal statistics. Normally you can look at reads versus hits and tell if you need to increase certain buffer size
mysql> show innodb status;
mysql> show full processlist;
Making sure there is no io bottleneck. Collect "iostat -xtcnz 5" on the system and look at that what is the disk response time (column asvc_t in miliseconds) and what is the average outstanding ios(column actv). Making sure that you have enough IOPs for the logfile disks and datafile disks.
On solaris systems, you can use "prstat -Lmc" to monitor the active processes on the systems.
MySQL startup options are very important. Following is an example of /etc/my.cnf I use to evaluate MySQL sysbench OLTP performance on T2000
# The MySQL server
#######below is for innodb############
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