In addition to a list of values, you can use a subquery that returns a list of values with the IN operator as shown below: column | expression IN (subquery) The result the NOT IN operator is TRUE if the column or expression does not equal any value in the list. To negate the IN operator, you use the NOT IN operator as follows: column | expression NOT IN ( v1, v2, v3. The IN operator is equivalent to multiple OR operators, therefore, the following predicates are equivalent: column IN (v1, v2, v3)Ĭolumn = v1 OR column = v2 OR column = v3 If a value in the column or the expression is equal to any value in the list, the result of the IN operator is TRUE. All the values must have the same type as the type of the column or expression. Second, specify a list of values to test.First, specify the column or expression to test.)Ĭode language: SQL (Structured Query Language) ( sql ) The following shows the syntax of the SQL Server IN operator: column | expression IN ( v1, v2, v3. The IN operator is a logical operator that allows you to test whether a specified value matches any value in a list.
SQL NOT EQUAL TO MULTIPLE VALUES HOW TO
In this tutorial, you have learned how to use the comparison operators to form comparison expression for filtering data based on a specified condition.Summary: in this tutorial, you will learn how to use the SQL Server IN operator to check whether a value matches any value in a list.
SQL NOT EQUAL TO MULTIPLE VALUES CODE
The following shows the syntax of the less than or equal to operator: expression1 <= expression2 Code language: SQL (Structured Query Language) ( sql )įor example, the following statement finds employees whose salaries are less than or equal to 9,000: The less than or equal to operator compares two non-null expressions and returns true if the left expression has a value less than or equal the value of the right expression otherwise, it returns true. Salary >= 9000 ORDER BY salary Code language: SQL (Structured Query Language) ( sql ) Less than or equal to operator(<=) The following illustrates the syntax of the greater than or equal operator: expression1 >= expression2įor example, the following statement finds employees whose salaries are greater than or equal 9,000: SELECT The result is true if the left expression evaluates to a value that is greater than the value of the right expression. The greater than or equal operator (>=) compares two non-null expressions. Salary > 10000 AND department_id = 8 ORDER BY salary DESC Ĭode language: SQL (Structured Query Language) ( sql ) Less than operator (=) For example, the following statement finds employees in department 8 and have the salary greater than 10,000: SELECT You can combine expressions that use various comparison operators using the AND or OR operator.
expression1 > expression2įor example, to find the employees whose salary is greater than 10,000, you use the greater than operator in the WHERE clause as follows: SELECTĮmployee_id, first_name, last_name, salary The greater than operator (>) compares two non-null expressions and returns true if the left operand is greater than the right operand otherwise, the result is false. SELECTĭepartment_id 8 AND department_id 10 ORDER BY first_name, last_name Ĭode language: SQL (Structured Query Language) ( sql ) Greater than operator (>) For example, the following statement finds all employees whose department id is not eight and ten. You can use the AND operator to combine multiple expressions that use the not equal to () operator.
SELECTĮmployee_id, first_name, last_name, department_idĭepartment_id 8 ORDER BY first_name, last_name expression1 expression2Ĭode language: SQL (Structured Query Language) ( sql )įor example, the following statement returns all employees whose department id is not 8. The not equal to () operator compares two non-null expressions and returns true if the value of the left expression is not equal to the right one otherwise, it returns false.
The following table illustrates the comparison operators in SQL: Operator The SQL comparison operators allow you to test if two expressions are the same. Summary: in this tutorial, you will learn about SQL comparison operators and how to use them to form conditions for filtering data.
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