How to improve MySQL performance with InnoDB buffer pool?

How to improve MySQL performance with InnoDB buffer pool?

Percona has a lot of information about some key metrics: Tuning MySQL and the InnoDB storage engine is an important step in further optimizing your hosting environment. Every new MySQL version brings new settings to improve your MySQL configuration, so be sure to read those changelogs.

How to improve the performance of MySQL database?

To determine what you can improve, you first need to know how the server performs now. You can use some MySQL commands for this on your MySQL cli (data comes from my very old post). In this old example, the database server has 4 GB of RAM and a configured key_buffer_size of 512 MB.

How to increase the number of threads in InnoDB?

These are configured with innodb_write_io_threads and innodb_read_io_threads. Both settings default to 4 threads. We can increase these to, for example, 8: The number of I/O threads for read operations in InnoDB. The default value is 4. The number of I/O threads for write operations in InnoDB. The default value is 4.

How to increase read / write threads in MySQL?

You can configure multiple innodb_buffer_pool_instances in MySQL, to increase read/write threads. To further improve InnoDB performance, you can increase the InnoDB buffer pool size, and you can divide the InnoDB buffer pool into multiple regions.

What is the maximum buffer size for InnoDB?

By default, innodb_change_buffer_max_size is set to 25. This means that up to 25% of the Buffer Pool can be used for processing secondary indexes. In your case, you have 6.935 GB for the InnoDB Buffer Pool. A maximum of 1.734 GB will be used for processing your secondary indexes.

Which is faster MyISAM or MySQL 5.5-innodb?

Also, MySQL version starting from 5.5 – InnoDB performs faster than MyISAM. Consider changing all your tables to it. Doing a dump and restore in the manner described will mean MySQL has to completely rebuild indexes as the data is imported. It also has to parse the data each time.

Which is the best memory size for InnoDB?

I call this Innodb Performance Optimization Basics so these are general guidelines which work well for wide range of applications, though the optimal settings of course depend on the workload. If you have large Innodb database size Memory is paramount. 16G-32G is the cost efficient value these days.

How does the Memcached plugin work in MySQL?

The InnoDB memcached plugin (daemon_memcached) provides an integrated memcached daemon that automatically stores and retrieves data from InnoDB tables, turning the MySQL server into a fast “key-value store”.

How to optimize InnoDB for systems with many tables?

Optimizing InnoDB for Systems with Many Tables Optimizing for MyISAM Tables Optimizing MyISAM Queries Bulk Data Loading for MyISAM Tables Optimizing REPAIR TABLE Statements Optimizing for MEMORY Tables Understanding the Query Execution Plan Optimizing Queries with EXPLAIN

How does atomicity and durability work in InnoDB?

Here’s how everything works in InnoDB: Atomicity ensures that the statements in a transaction operate as an indivisible unit and that their effects are seen collectively or not at all; Durability is also maintained because InnoDB maintains a log file that tracks all changes to the system.

How big should the log buffer be in InnoDB?

The innodb_log_buffer_size value should be set to at least 16M. A large log buffer allows large transactions to run without a need to write the log to disk before the transactions commit saving some disk I/O; When tuning innodb_flush_log_at_trx_commit, keep in mind that this parameter accepts three values – 0, 1 and 2.