SQL - ALL Operator
The ALL operator compares a column value or literal value with the result of a subquery that returns a single-column values.
- The ALL operator must be preceded by comparison operators like =, !=, >, >=, <, <=.
- The ALL operator uses AND with the result values of a subquery to compare a column of the outer query.
- The data type of the returned values from a subquery must be the same data type as the outer query expression.
Syntax:
expression <operator> ALL( subquery );
-- or
SELECT * FROM table_name
WHERE column_name <operator> ALL( subquery );
Database like SQL Server, PostgreSQL, SQLite supports ALL operator with subquery whereas Oracle allows ALL operator with subquery and literal values.
For the demo purpose, we will use the following Employee
and Employee_backup
tables in all examples.
EmpId | FirstName | LastName | Salary | DeptId | |
---|---|---|---|---|---|
1 | 'John' | 'King' | '[email protected]' | 33000 | 10 |
2 | 'James' | 'Bond' | 10 | ||
3 | 'Neena' | 'Kochhar' | '[email protected]' | 17000 | 20 |
4 | 'Lex' | 'De Haan' | '[email protected]' | 15000 | 10 |
5 | 'Amit' | 'Patel' | 18000 | 10 | |
6 | 'Abdul' | 'Kalam' | '[email protected]' | 25000 | 20 |
EmpId | FirstName | LastName | Salary | DeptId | |
---|---|---|---|---|---|
1 | 'John' | 'King' | '[email protected]' | 33000 | 10 |
2 | 'James' | 'Bond' | 10 | ||
3 | 'Neena' | 'Kochhar' | '[email protected]' | 17000 | 20 |
4 | 'Lex' | 'De Haan' | '[email protected]' | 15000 | 10 |
ALL with Expression
The ALL operator can be used with a scalar expression. For example, the following is used with IF
condition:
IF 15000 <= ALL(SELECT salary FROM Employee)
print('All employee''s salaries are equal to or more than 15000');
else
print('Some employee''s salaries are less than 15000');
Above, the expression IF 15000 < all(SELECT salary FROM Employee)
would be transformed using AND operator, as below:
IF 15000 <= 33000 AND 15000 <= 17000 AND 15000 <= 15000 AND 15000 <= 18000 AND 15000 <= 25000
print('All employee''s salaries are equal to or more than 15000');
else
print('Some employee''s salaries are less than 15000');
So, the above expression would print All employee's salaries are equal to or more than 15000
.
ALL with Query
The ALL operator can also be used with a query. The following query uses the ALL operator with the =
operator.
SELECT * FROM Employee
WHERE EmpId = ALL(
SELECT EmpId FROM Employee_backup
WHERE Salary > 15000
);
In the above query, a subquery SELECT EmpId FROM Employee_backup WHERE Salary > 15000
would be executed first, and it will return EmpId
values 1, 3
.
Now, the ALL operator would use AND operator with all the return values and form the query as shown below.
SELECT * FROM Employee
WHERE EmpId = 1 AND EmpId = 3;
So, it is obvious that the above query will not return anything because it is not possible that the EmpId
will have two values in the same record.
=
will not return any records.
ALL with !=
The most practical use of the ALL operator is with the !=
operator.
For example, the following query finds the difference between the two tables.
SELECT * FROM Employee
WHERE EmpId != ALL(
SELECT EmpId FROM Employee_backup
);
The above query returns the records from the Employee
table whose EmpId
is not matching with the EmpId
of the Employee_backup
table.
Think the above query would transform like the below:
SELECT * FROM Employee
WHERE EmpId != 1 AND EmpId != 2 AND EmpId != 3 AND EmpId != 4;
Thus, the above query would return the difference between two tables based on EmpId
values. The following is the result of the above query.
EmpId | FirstName | LastName | Salary | DeptId | |
---|---|---|---|---|---|
5 | 'Amit' | 'Patel' | 18000 | 1 | |
6 | 'Abdul' | 'Kalam' | '[email protected]' | 25000 | 2 |
In the same way, you can use the ALL operator with <=
, <
, =>
, and >
operators.