In SQL, ANY and ALL are used to handle grouping conditions: ANY checks whether any row in the group meets the condition, while ALL checks whether all rows in the group meet the condition.
The meaning of ANY and ALL in SQL
In SQL, ANY and ALL are two keywords, Used in queries, they handle grouping conditions differently.
ANY
- Meaning: Any
- Function: Check whether any row in the group meets the specified condition.
- Example:
SELECT * FROM table_name WHERE column_name ANY (SELECT value FROM subquery);
##ALL
- Meaning: All
- Function: Check whether all rows in the group meet the specified conditions.
- Example:
- SELECT * FROM table_name WHERE column_name ALL (SELECT value FROM subquery);
ANY | ALL | |
---|---|---|
Check all rows in the group | Result | |
Only all rows True, returns true |
Assume the following table structure:
<code>CREATE TABLE students ( student_id INT PRIMARY KEY, name VARCHAR(255), grade INT );</code>
Query 1: Use ANY
to find the names of students with scores of at least 90:
<code>SELECT name FROM students WHERE grade ANY (SELECT grade FROM students WHERE grade >= 90);</code>
Find the names of all students whose scores are above 80 points:
<code>SELECT name FROM students WHERE grade ALL (SELECT grade FROM students WHERE grade > 80);</code>
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