MySQL and Shell script: How to implement scheduled data cleaning function
MySQL and Shell script: How to implement scheduled data cleaning function
Overview:
When developing and maintaining database applications, it is often necessary to regularly clean up expired or useless data in the database. The accumulation of these data will not only occupy the storage space of the database, but also affect the query performance of the database. This article will introduce how to implement scheduled data cleaning function through MySQL and Shell script.
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Create a cleaning script
First, we need to create a Shell script to perform data cleaning operations. Enter the following command in the terminal to create a new Shell script file:$ touch data_clean.sh
Then, open the file with a text editor:
$ vi data_clean.sh
In the script file, we can write the MySQL that needs to be executed command to clean the data. The sample code is as follows:
#!/bin/bash # 连接到数据库 mysql -h localhost -u username -ppassword dbname << EOF # 执行清理操作 DELETE FROM table_name WHERE date_column < DATE_SUB(NOW(), INTERVAL 30 DAY); # 退出数据库连接 EOF
In the above example, we used MySQL's DELETE statement to delete data created 30 days ago. You can modify this command according to actual needs.
Save and close the script file.
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Set up a scheduled task
Next, we need to set up a scheduled task to execute the data cleaning script regularly. Enter the following command in the terminal to edit the scheduled task:$ crontab -e
In the opened file, add the following content to set up a scheduled task that executes the data cleaning script at 2 am every day:
2 * /bin/bash /path/to/data_clean.sh
- Execute scheduled tasks
- Now, our scheduled tasks have been set up. At 2 a.m. every day, the system automatically executes the data cleaning script and deletes expired data from the database.
$ /bin/bash /path/to/data_clean.shSummary:
Through the cooperation of MySQL and Shell script, we can realize the scheduled data cleaning function. Using scheduled tasks to automatically execute data cleaning scripts can save developers time and energy. Based on actual needs, we can adjust the frequency and conditions of data cleaning as needed.
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