While it\'s easier to measure the impact of Dynimize if you are running a MySQL benchmark with clear metrics, it can sometimes be a challenge on a production workload where you don\'t have precise performance analytics or metrics available. There are many great MySQL performance analysis tools out there, however they can often take time and effort to setup. The simple measureDyniMysql script was created for this exact reason, and does not incur any MySQL downtime. You can find it at /opt/dynimize/measureDyniMysql after installing Dynimize. It will report the change in MySQL queries per second and mysqld CPU usage after applying Dynimize. Here is how to use it. 1. Install and start dynimize, and get your mysqld process into the dynimized state. For example, the command: $sudo dyni -status should show something like: Dynimize is running mysqld, pid: 30840, dynimized 2. Open /opt/dynimize/measureDyniMysql, find the lines containing mysqlUser= and mysqlPass= and set them to a user/password combination that is granted access to the MySQL SHOW STATUS query. Root has access by default. 3. In the line containing exe= set the value to the target process name, which would be exe=mysqld in this case. 4. Make sure the mysqld process has high CPU usage with a consistent workload for at least the duration of this script, which is 141 seconds by default. The Linux top command can help to indicate that your target process has a consistent workload with high CPU usage. 5. Run sudo /opt/dynimize/measureDyniMysql until completion. OptionalSearch for the line measureTime= and change the value to change the duration (seconds) of each QPS and CPU usage measurement window with and without Dynimize. It is set to 60 seconds by default. All done! You have now measured the performance impact of Dynimize. However if you are interested in more details... Continue Reading
Measuring the Impact of Dynimize on Your MySQL Workload appeared first on MariaDB.org
| # | Наименование новости | Тональность | Информативность | Дата публикации |
|---|---|---|---|---|
| 1 | Dynimize Quickstart Tutorial | 0 | 8.33 | 15-07-2019 |
| 2 | Reduce MySQL CPU Usage Through Dynamic Binary Optimization | 0 | 5.62 | 20-01-2020 |
| 3 | MySQL + Dynimize: 3.6 Million Queries per Second on a Single VM | 0 | 9.36 | 22-09-2020 |
| 4 | Mining the MySQL Performance Schema for Transactions | 0 | 5.63 | 28-08-2022 |
| 5 | Configuring MySQL Query Metrics | 0 | 7.26 | 16-01-2022 |
| 6 | Sysbench vs MySQL on a small server: no new regressions, many old ones | 0 | 8.8 | 24-03-2026 |
| 7 | dbstat for MariaDB (and MySQL) | 0 | 6.05 | 14-03-2024 |
| 8 | CPU-bound sysbench on a large server: Postgres, MySQL and MariaDB | 0 | 5.53 | 04-04-2026 |
| 9 | Sysbench vs MySQL on a small server: another way to view the regressions | 0 | 9.01 | 09-04-2026 |
| 10 | MySQL 9.7.0 vs sysbench on a small server | 0 | 8.98 | 10-04-2026 |