In SQL, for  matching multiple values in the same column, we need to use some special words in our query. Below, 3 methods are demonstrated to achieve this using the IN, LIKE and comparison operator(>=). For this article, we will be using the Microsoft SQL Server as our database.

Step 1: Create a Database. For this use the below command to create a database named GeeksForGeeks.

Query:

CREATE DATABASE GeeksForGeeks

Output:

Step 2: Use the GeeksForGeeks database. For this use the below command.

Query:

USE GeeksForGeeks

Output:

Step 3: Create a table CARS inside the database GeeksForGeeks. This table has 3 columns namely CAR_NAME, COMPANY and COST containing the name, company and cost of various cars.

Query:

CREATE TABLE CARS(
CAR_NAME VARCHAR(10),
COMPANY VARCHAR(10),
COST INT);

Output:

Step 4: Describe the structure of the table CARS.

Query:

EXEC SP_COLUMNS CARS;

Output:

Step 5: Insert 5 rows into the CARS table.

Query:

INSERT INTO CARS VALUES('INNOVA','TOYOTA',10000);
INSERT INTO CARS VALUES('CAMRY','TOYOTA',20000);
INSERT INTO CARS VALUES('CIAZ','HONDA',30000);
INSERT INTO CARS VALUES('POLO','VOLKSWAGEN',50000);
INSERT INTO CARS VALUES('BENZ','MERCEDES',100000);

Output:

Step 6: Display all the rows of the CARS table.

Query:

SELECT * FROM CARS;

Output:

Step 7: Retrieve the details of all the cars belonging to the companies TOYOTA and HONDA.

Note – Use of IN for matching multiple values i.e. TOYOTA and HONDA in the same column i.e. COMPANY.

Syntax:

SELECT * FROM TABLE_NAME WHERE COLUMN_NAME IN (MATCHING_VALUE1,MATCHING_VALUE2);

Query:

SELECT * FROM CARS WHERE COMPANY IN ('TOYOTA','HONDA');

Output:

Step 8: Retrieve the details of all the cars whose name starts with the letter C.

Note – Use of LIKE for matching multiple values i.e. CAMRY and CIAZ in the same column i.e. CAR_NAME.

Syntax:

SELECT * FROM TABLE_NAME WHERE COLUMN_NAME LIKE 'STARTING_LETTER%';

Query:

SELECT * FROM CARS WHERE CAR_NAME LIKE 'C%';

Output:

Step 9: Retrieve the details of all the cars having cost greater than or equal to 30000.

Note – Use of comparison operator >= for matching multiple values i.e. 30000, 50000 and 100000 in the same column i.e. COST.

Syntax:

SELECT * FROM TABLE_NAME WHERE COLUMN_NAME >=VALUE;

Query:

SELECT * FROM CARS WHERE COST>=30000;

Output: