AutoTuner Functions

Command Function

The AutoTuner tool automatically tunes application parameters to improve application performance metrics in different scenarios.

Syntax

 devkit kat [-h | --help] TASK [ARGS]

An RPM package is used as an example.

Complete the following settings before starting a task:
- Task parameters: parameter name, value range, and setting mode.
- Application scenario: application name, benchmark (if any), and performance metrics. Ensure that the application and performance test tool work properly.
Automatic tuning is supported in database and big data scenarios.
- Databases: MySQL, openGauss, Vastbase, RocksDB, PostgreSQL, and Redis
- Big data: Hive, Spark, Flink, and Kafka
Adjust the task parameters and application scenario based on the actual service scenario and the parameters to be tuned.
When Kunpeng 920 series processors are used, Kunpeng register parameters are automatically tuned. The kernel version must be 4.19.90-2012.4.0.0053.oe1.aarch64 or 5.10.0-182.0.0.95.oe2203sp3.aarch64.

Example

Run the following command to view the information about the functions supported by the AutoTuner:

1	devkit kat -h

Command output:

 Usage: devkit kat [-h | --help] TASK [ARGS]

 The most commonly used devkit kat sub tasks are:
   help       Get help information
   train      Run the auto tuner train task
   template   Run the auto tuner template task
   use        Run the auto tuner use task

 See 'devkit kat TASK --help' for more information on a specific task.

**Table 1** Function description
Function	Description
help	Obtains help information.
train	Enables automatic tuning.
template	Generates a template file.
use	Uses the tuning result.

Parent topic: AutoTuner