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使用SQLdiag工具前,您可以通过以下指令获取帮助。
python main.py --help
显示如下帮助信息:
usage: main.py [-h] [-f CSV_FILE] [--predicted-file PREDICTED_FILE]
[--model {template,dnn}] --model-path MODEL_PATH
[--config-file CONFIG_FILE]
{train,predict,finetune}
SQLdiag integrated by openGauss.
positional arguments:
{train,predict,finetune}
The training mode is to perform feature extraction and
model training based on historical SQL statements. The
prediction mode is to predict the execution time of a
new SQL statement through the trained model.
optional arguments:
-h, --help show this help message and exit
-f CSV_FILE, --csv-file CSV_FILE
The data set for training or prediction. The file
format is CSV. If it is two columns, the format is
(SQL statement, duration time). If it is three
columns, the format is (timestamp of SQL statement
execution time, SQL statement, duration time).
--predicted-file PREDICTED_FILE
The file path to save the predicted result.
--model {template,dnn}
Choose the model model to use.
--model-path MODEL_PATH
The storage path of the model file, used to read or
save the model file.
--config-file CONFIG_FILE
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