Database handling is the most important feature of any business corporation. MySQL is a popular database server management system. Here are some tips to get the most out of MySQL.
MySQL Hardware and OS optimization
- Have sufficient physical memory. Load the entire InnoDBfile into the memory instead of the disk as it will reduce the accessing time significantly.
- Use RAM and Cache RAID controllers that are backed up by a battery.
- Separate the OS memory and data memory, physically and not just logically. This will improve the database performance.
- Employ a 64-bit OS to make more memory slots addressable.
- Use a server purely for MySQL. Other processes can reduce time response.
How to configure MySQL
- Use <innodb_flush_method=O_DIRECT> to avoid double buffers during the writing process.
- Create a test environment which periodically runs your configuration to find any glitches in the system.
- Restart the system often. Make sure that restarting and testing the configuration does not disrupt production.
- The sort-buffer-size should not be too high. It will use up a lot of available memory space and slow down other processes.
- Increase temporary table size and maximum heap table size to avoid disk writes.
Optimizing MySQL Schema
- Trim your database periodically by archiving old data and indexing present data.
- Don’t over the indexing feature. Instead you can compare using queries.
- Compress redundant data.
- Avoid repetitions.
- Use the smallest data type possible for the real-world data.
- If you are having trouble configuring MySQL, then use a generic configuration.
- InnoDB tables should be rewritten frequently for optimal performance.
- Before executing real-world data, test your configuration in a development environment.
- Instead of creating large tables by extending rows, create small tables and link them.
- Use the least possible number of Triggers.
- To find slow queries, deploy the slow query log.
- To check whether the queries are functioning properly, you can use the <EXPLAIN> command.
- The command <LIMIT M,N> can actually slow down queries in certain circumstances. Use with discretion.
- Test queries periodically for optimal functioning.
- Just as Schema changes, test your queries in a development environment before applying them for production.
- Do not reuse the same column in different indexes.
- You can optimize the query cache by using uniform queries.
- You can check for issues by using this command:<SQL_MODE=STRICT>.
MySQL Backup Optimization
- Use a replicated server for backup.
- Optimize tables before a backup sync.
- Perform backup syncs regularly to store the most recent data.
- Test your backups regularly as well.
- While importing from a server, disable foreign constraints and unique checks. This will import the data faster.
- When using <mysqldump>, always use –opt.
- Also, while using <mysqldump>, backup binary logs. This will ensure that the replication will not break.
- Do not replicate during backups. This will create inconsistencies.
- And final monitor MySQL. There are many monitoring software wizards available online.
These tips are universal to all versions of MySQL and should be sufficient to optimize the performance notably. In case you require any database server management services, we at CloudEgg would be happy to offer you our expertise!