MySQL Full Disk/Storage Issues

What is MySQL Full Disk/Storage Issues

Check and Free Up Space:

- Identify and delete any unnecessary files or logs in the server to quickly free up space.cd /var/log/mysql sudo rm -rf your-unneeded-log-files.log

Identify Large Tables:

- Use this query to find large tables that might be candidates for cleanup or pruning.SELECT tableschema AS `Database`, tablename AS `Table`, round(((datalength + indexlength) / 1024 / 1024), 2) `Size in MB` FROM information_schema.TABLES ORDER BY (datalength + indexlength) DESC;

Cleanup Binary Logs:

- If binary logging is enabled and you don't need the old logs, you can purge them.PURGE BINARY LOGS BEFORE '2023-01-01 00:00:00';

Optimize/Prune Large Tables:

- Based on the previous step, decide if you can delete old or unnecessary data from large tables.DELETE FROM yourtable WHERE yourdate_column < 'YYYY-MM-DD'; - After cleanup, optimize the table to reclaim space.OPTIMIZE TABLE your_table;

Compress Tables:

- For InnoDB tables, consider enabling compression for large tables.ALTER TABLE yourtablename ROW_FORMAT=COMPRESSED;

Increase Disk Space:

- If possible, add more disk space to the server. This might involve contacting your hosting provider or using cloud management tools depending on your environment.

Check and Adjust Log File Size:

- If the InnoDB log files are consuming too much space, consider resizing them. Note: This requires restarting MySQL. - Check the current size:SHOW VARIABLES LIKE 'innodblogfile_size'; - To change the size, you'll need to edit the `my.cnf` or `my.ini` file and restart MySQL.

Move Data Directory:

- If you have an additional storage device with more space, move the MySQL data directory to this location. - Stop MySQL service.sudo systemctl stop mysql - Copy the data directory to the new location.sudo cp -R -p /var/lib/mysql /new/path - Update the `datadir` in `my.cnf` or `my.ini` with the new path and restart MySQL.

Archive Old Data:

- If there are tables with historical data that are not frequently accessed, consider archiving this data to a separate database or storage.

Check for Duplicate Indexes:

- Duplicate indexes can consume unnecessary space.SELECT tableschema, tablename, GROUPCONCAT(indexname SEPARATOR ', ') AS indexes FROM information_schema.statistics WHERE tableschema NOT IN ('informationschema', 'mysql', 'performance_schema', 'sys') GROUP BY tableschema, tablename, indextype, columnname HAVING COUNT(*) > 1;