The SQL Join Clause

The SQL Join clause is used to combine data from two or more tables in a database. When the related data is stored across multiple tables, joins help you to retrieve records combining the fields from these tables using their foreign keys.

The part of the Join clause that specifies the columns on which records from two or more tables are joined is known as join-predicate. This predicate is usually specified along with the ON clause and uses various comparison operators such as, <, >, <>, <=, >=, !=, BETWEEN, LIKE, and NOT etc. We can also connect multiple join predicates with logical operators AND, OR, and NOT.

We can use JOINs along with and , SQL queries to update and delete records from across multiple tables. When you retrieve a table using joins, the resultant table displayed is not stored anywhere in the database.

Syntax

Following is the basic syntax of a the SQL JOIN CLAUSE −

SELECT column_name(s)
FROM table1
JOIN table2;

Example

Assume we have created a CUSTOMERS table that contains details of the customers of an organization using the following query −

CREATE TABLE CUSTOMERS (
   ID INT NOT NULL,
   NAME VARCHAR (20) NOT NULL,
   AGE INT NOT NULL,
   ADDRESS CHAR (25),
   SALARY DECIMAL (18, 2),       
   PRIMARY KEY (ID)
);

Now insert values into this table using the INSERT statement as follows −

INSERT INTO CUSTOMERS VALUES
(1, ''Ramesh'', 32, ''Ahmedabad'', 2000.00 ),
(2, ''Khilan'', 25, ''Delhi'', 1500.00 ),
(3, ''Kaushik'', 23, ''Kota'', 2000.00 ),
(4, ''Chaitali'', 25, ''Mumbai'', 6500.00 ),
(5, ''Hardik'', 27, ''Bhopal'', 8500.00 ),
(6, ''Komal'', 22, ''Hyderabad'', 4500.00 ),
(7, ''Muffy'', 24, ''Indore'', 10000.00 );

The CUSTOMERS table will be created as follows −

Following is another table ORDERS which contains the order details made by the customers.

CREATE TABLE ORDERS (
   OID INT NOT NULL,
   DATE VARCHAR (20) NOT NULL,
   CUSTOMER_ID INT NOT NULL,
   AMOUNT DECIMAL (18, 2)
);

Using the INSERT statement, insert values into this table as follows −

INSERT INTO ORDERS VALUES 
(102, ''2009-10-08 00:00:00'', 3, 3000.00),
(100, ''2009-10-08 00:00:00'', 3, 1500.00),
(101, ''2009-11-20 00:00:00'', 2, 1560.00),
(103, ''2008-05-20 00:00:00'', 4, 2060.00);

The ORDERS table will be created as follows −

Following query performs the join operation on the tables CUSTMERS and ORDERS −

SELECT ID, NAME, AGE, AMOUNT 
FROM CUSTOMERS 
JOIN ORDERS 
ON CUSTOMERS.ID = ORDERS.CUSTOMER_ID;

Output

By executing the query above, the resultant table is displayed and contains the values present in ID, NAME, AGE fields of CUSTOMERS table and AMOUNT field of ORDERS table.

Types of joins in SQL

SQL provides various types of Joins that are categorized based on the way data across multiple tables are joined together. They are listed as follows −

Inner Join

An is the default join which retrieves the intersection of two tables. It compares each row of the first table with each row of the second table. If the pairs of these rows satisfy the join-predicate, they are joined together.

Outer Join

An Outer Join retrieves all the records in two tables even if there is no counterpart row of one table in another table, unlike Inner Join. Outer join is further divided into three subtypes – Left Join, Right Join and Full Join.

Following are the different types of outer Joins −

• − returns all rows from the left table, even if there are no matches in the right table.

• − returns all rows from the right table, even if there are no matches in the left table.

• − returns rows when there is a match in one of the tables.

Other Joins

In addition to these there are two more joins −

• − is used to join a table to itself as if the table were two tables, temporarily renaming at least one table in the SQL statement.

• − returns the Cartesian product of the sets of records from the two or more joined tables.