MySQL is a commonly used relational database management system. It is often used to support data management of large-scale applications and supports multiple operating systems. MySQL provides SQL language as a tool for managing and querying databases. The following are the steps on how MySQL executes SQL statements.
Before executing the SQL statement, you need to connect to the MySQL database through the command line or graphical interface and enter the correct user name and password.
Open a tool that can execute the MySQL command line or graphical interface. The MySQL command line can be accessed through the terminal or command line window. The MySQL graphical interface is available through MySQL Workbench or other database management tools that support MySQL. Enter the correct username and password.
Select the database to be used through the MySQL command line or graphical interface. If you want to create a new database, you can create it through the CREATE DATABASE statement.
Edit SQL statements through the MySQL command line or graphical interface. Common SQL statements include SELECT, INSERT, UPDATE and DELETE statements. When writing, you need to pay attention to the correctness of the SQL syntax and whether the parameters used are accurate.
Enter the SQL statement on the MySQL command line or graphical interface and press Enter to execute it. The system will perform related operations based on SQL statements, such as querying, inserting, updating, or deleting data. If the SQL statement is executed successfully, the corresponding execution results will be displayed. If the SQL statement fails to execute, relevant error messages will be prompted.
After completing the execution of the SQL statement, you need to close the MySQL database connection to avoid resource waste and security issues. Enter the QUIT or EXIT command through the MySQL command line or graphical interface to close the connection.
After understanding and mastering the steps of MySQL to execute SQL statements, we can better operate and manage the MySQL database and provide support for data management of large-scale applications.
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