15.8.9 Configuring InnoDB Purge Scheduling

Contents

The purge operations (a type of garbage collection) that InnoDB performs automatically may be performed by one or more separate threads rather than as part of the master thread. The use of separate threads improves scalability by allowing the main database operations to run independently from maintenance work happening in the background.

To control this feature, increase the value of the configuration option innodb_purge_threads. If DML action is concentrated on a single table or a few tables, keep the setting low so that the threads do not contend with each other for access to the busy tables. If DML operations are spread across many tables, increase the setting. Its maximum is 32. innodb_purge_threads is a non-dynamic configuration option, which means it cannot be configured at runtime.

There is another related configuration option, innodb_purge_batch_size with a default value of 300 and maximum value of 5000. This option is mainly intended for experimentation and tuning of purge operations, and should not be interesting to typical users.

For more information about InnoDB I/O performance, see Section 8.5.8, “Optimizing InnoDB Disk I/O”.

Find a PHP function

Document created the 26/06/2006, last modified the 26/10/2018
Source of the printed document:https://www.gaudry.be/en/mysql-rf-innodb-improved-purge-scheduling.html

The infobrol is a personal site whose content is my sole responsibility. The text is available under CreativeCommons license (BY-NC-SA). More info on the terms of use and the author.

References

Manuel MySQL : https://dev.mysql.com/

These references and links indicate documents consulted during the writing of this page, or which may provide additional information, but the authors of these sources can not be held responsible for the content of this page.
The author This site is solely responsible for the way in which the various concepts, and the freedoms that are taken with the reference works, are presented here. Remember that you must cross multiple source information to reduce the risk of errors.

Contents Haut