How to Improve MySQL Server Performance with Proper Optimization

3. Using the mysqladmin command:

You can use the mysqladmin command to measure cache performance continuously. Example:

mysqladmin extended-status -r -i 10 | grep Key_reads

Calculating the Cache Hit Rate and Buffer Percentage Used

To calculate the cache hit ratio and buffer percentage used, you can use some equations provided by MySQL. Here are some ways to calculate it:

1. Calculating the Cache Hit Rate:

The cache hit ratio can be calculated using the equation:

Cache hit ratio = 10 - ((Key_reads *  100) /  Key_read_requests)

Example:

mysql> SHOW STATUS LIKE 'Key_reads';
+---------------+--------+
| Variable_name | Value  |
+---------------+--------+
| Key_reads     | 100    |
+---------------+--------+
mysql> SHOW STATUS LIKE 'Key_read_requests';
+-------------------+--------+
| Variable_name     | Value  |
+-------------------+--------+
| Key_read_requests | 1000  |
+-------------------+--------+
mysql> SELECT 100 - ((100 * 100) / 1000);
+-----------------------+
| 99.00                 |
+-----------------------+

2. Calculating the Percentage of Buffers Used:

The percentage of buffers used can be calculated using the equation:

Percentage of buffer in use = 100 – ((Key_blocks_unused * key_cache_block_size) * 100 / key_buffer_size)

Example:

mysql> SHOW STATUS LIKE 'Key_blocks_unused';
+-------------------+--------+
| Variable_name     | Value  |
+-------------------+--------+
| Key_blocks_unused  | 1000  |
+-------------------+--------+
mysql> SHOW VARIABLES LIKE 'key_buffer_size';
+-----------------------+--------+
| Variable_name        | Value  |
+-----------------------+--------+
| key_buffer_size      | 1024M |
+-----------------------+--------+
mysql> SELECT 100 - ((1000 * 1024 * 1024) / (1024 * 1024));
+-----------------------+
| 99.00                 |
+-----------------------+

10. Conclusion

MySQL server optimization is the key to achieving high performance and efficiency in database management. By optimizing server configurations, buffer pools, and caches, you can reduce latency, improve data access speeds, and optimize resource usage. These steps ensure that the server can better handle the workload and provide a faster response to the end user.

To improve the performance of a MySQL server, you need to take several strategic steps, including: Setting Up Cache and Buffer Pools, Conducting Testing and Monitoring, Optimizing Queries, and Implementing Effective Indexing

By implementing these steps, you can achieve optimal performance of your MySQL server and ensure that your system can handle the increasing demands efficiently.