Mysql innodb memory settings

Assume you have a system (physical or virtual) with 16GB of memory. Settings herefore are datadir, innodb _data_home_dir, innodb _log_group_home_dir. The default is 20 which is sensible for single spindle disks.

Add up Index_length for all the MyISAM tables. Set key _buffer_size no larger than that size, but not bigger than of RAM. Set innodb _buffer_pool_size to no more than 1 of that total, but not bigger than of RAM. If that leads to swapping, cut both settings back. The hardware is the obvious part.

The more RAM the merrier, faster disks ftw. MySQL Memory Calculator. MB, key_buffer is 384MB. To enable multiple buffer pool instances, set the innodb _buffer_pool_instances configuration option to a value greater than (the default) up to (the maximum). Configure some important variables in my.

I feel the most important variable setting is innodb _buffer_pool_size. I understand that both innodb _buffer_pool_size and key_buffer are important settings. Some basic specs on the servers: 32GB total mem 2GB swap 64-bit RHEL 64-bit mysqld overcommit_memory=mysql fails to start with 14GB innodb _buffer_pool_size mysql will start with 12GB buffer pool setting When overcommit_ memory is set to mysql starts with 26GB buffer pool. Use CHECK TABLE or a client program to find inconsistencies, incompatibilities, and other problems. Specify the size of the buffer pool with the innodb _buffer_pool_size option.

So what should innodb -buffer-pool-size be set to? I was just about to get there. Because other things need. In many cases, this will mean 4-8GB, but on virtual machines (or in my case with copies of mysqld running),.

The maximum memory usage comes from a lot of different settings , mostly buffer sizes but it appears that documentations don’t clearly state how to find or set this value. One of those settings is innodb_buffer_pool_instances. Plus, you want to leave some room for the operating system memory structures.

You should set innodb _buffer_pool_size to about of your memory. InnoDB storage engine. The goal is to ensure that of your working set is in memory ! Ideally, you set the size of the buffer pool to as large a value as practical, leaving enough memory for other processes on the server to run without excessive paging. It supports row-level locking, crash recovery and multi-version concurrency control. It is an ACID compliant storage engine.

Value of the parameter innodb _force_recovery can be from to 6. By keeping the frequently-accessed data in memory, related searches are retrieved much faster than reading from disk. Any data being accessed on disk, first has to be loaded into the buffer pools for users to access it. Well, not too bad I guess, unless you are running a tight ship with only 64MB of total memory.

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