In this tutorial, we will learn how to use IN
operator with WHERE
clause.
SQL IN
operator is used to filtering the result set based on the list of discrete/distinct values.
SQL IN
operator is always used with the WHERE
clause.
SQL IN
operator is a shorthand for multiple OR
conditions.
SELECT column1, column2,...columnN
FROM tableName
WHERE column IN (value1, value2,...valueN);
SELECT column1, column2,...columnN
FROM tableName
WHERE column IN (SELECT STATEMENT);
Let us consider this table "Employee" for records.
Table Name: Employee
ID | EmpName | City | Country | Gender | Salary |
1 | Shankar | Delhi | India | male | 25000 |
2 | Sourabh | Delhi | India | male | 30000 |
3 | Ranvijay | Mumbai | India | male | 15000 |
4 | Kapil | Noida | India | male | 25000 |
5 | Shalini | Jaipur | India | female | 18000 |
6 | Rakesh | Faridabad | India | male | 23000 |
7 | Akshay | Mumbai | India | male | 21000 |
8 | Sarah | New York | US | female | 76000 |
9 | Rocky | Noida | India | male | 28000 |
Select all the employee whose city is "Delhi", "Noida" or "New York", a query will be:
SELECT * FROM Employee
WHERE City IN ('Delhi', 'Noida', 'Newyork');
ID | EmpName | City | Country | Gender | Salary |
1 | Shankar | Delhi | India | male | 25000 |
2 | Sourabh | Delhi | India | male | 30000 |
4 | Kapil | Noida | India | male | 25000 |
8 | Sarah | New York | US | female | 76000 |
9 | Rocky | Noida | India | male | 28000 |
Select all the employee whose city is not "Delhi", Noida" or "New York", a query will be:
SELECT * FROM Employee
WHERE City NOT IN ('Delhi', 'Noida', 'Newyork');
ID | EmpName | City | Country | Gender | Salary |
3 | Ranvijay | Mumbai | India | male | 15000 |
5 | Shalini | Jaipur | India | female | 18000 |
6 | Rakesh | Faridabad | India | male | 23000 |
7 | Akshay | Mumbai | India | male | 21000 |
Select all the employee whose city is "Delhi", "Noida" using select statement, a query will be:
SELECT * FROM Employee
WHERE City IN (SELECT City FROM Employee WHERE City='Noida' or City='Delhi');
ID | EmpName | City | Country | Gender | Salary |
1 | Shankar | Delhi | India | male | 25000 |
2 | Sourabh | Delhi | India | male | 30000 |
4 | Kapil | Noida | India | male | 25000 |
9 | Rocky | Noida | India | male | 28000 |