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How to implement a statement to delete multiple rows of data in MySQL?

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Release: 2023-11-08 13:17:13
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How to implement a statement to delete multiple rows of data in MySQL?

How to implement a statement to delete multiple rows of data in MySQL?

In MySQL, deleting multiple rows of data is one of the very common database operations. When we need to delete multiple rows of data in a database table, we can use the DELETE statement to achieve this. The DELETE statement can delete multiple rows of data that meet the conditions based on specified conditions. The following will introduce how to delete multiple rows of data in MySQL through specific code examples.

First, assume that we have a table named "students", which stores student information, including student ID, name, age and other fields. Now we want to delete the data in this table for students who are older than 20 years old.

The following is a specific code example:

DELETE FROM students WHERE age > 20;
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In the above code example, the DELETE statement is used to delete qualified data from the "students" table, the condition is students whose age is greater than 20 years old .

If we need to satisfy multiple conditions at the same time, we can use AND or OR to combine the conditions. For example, we want to delete the data of students named "Xiao Ming" who are older than 20 years old.

The following is a specific code example:

DELETE FROM students WHERE name = '小明' AND age > 20;
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If we need to delete all data in the table, the WHERE clause can be omitted. For example, we want to delete all data in the "students" table.

The following is a specific code example:

DELETE FROM students;
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It should be noted that when executing the DELETE statement, be extra careful because the deletion operation is irreversible and once the data is deleted, it cannot be restored. Therefore, before performing a DELETE operation, be sure to carefully confirm the deletion conditions to avoid unnecessary losses.

Through the above code examples, we briefly introduce how to delete multiple rows of data in MySQL. Hope it helps.

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