SELECT ... OUTER JOIN

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SELECT Query with OUTER JOIN

OUTER JOINS are of 3 types: LEFT OUTER, RIGHT OUTER and FULL OUTER

RIGHT JOIN ( RIGHT OUTER JOIN )

LEFT JOIN ( LEFT OUTER JOIN )

FULL OUTER JOIN

Returns all the records from table 1 and table 2 and fill in NULLS for missing and matches on either side

Syntax

SELECT table1.column1, table2.column2...
FROM table1
FULL JOIN table2
ON table1.common_field = table2.common_field;

Example

Consider the following two tables

Table 1 − CUSTOMERS Table is as follows.

+----+----------+-----+-----------+----------+
| ID | NAME     | AGE | ADDRESS   | SALARY   |
+----+----------+-----+-----------+----------+
|  1 | Ranith  |  32 | Ahmedabad |  2000.00 |
|  2 | Krupa   |  25 | Delhi     |  1500.00 |
|  3 | kaulik  |  23 | Kota      |  2000.00 |
|  4 | Chaitan |  25 | Mumbai    |  6500.00 |
|  5 | Munny   |  24 | Indore    | 10000.00 |
+----+----------+-----+-----------+----------+

Table 2 − ORDERS Table is as follows.

+-----+---------------------+-------------+--------+
|OID  | DATE                | CUSTOMER_ID | AMOUNT |
+-----+---------------------+-------------+--------+
| 102 | 2009-10-08 00:00:00 |           3 |   3000 |
| 100 | 2009-10-08 00:00:00 |           3 |   1500 |
| 101 | 2009-11-20 00:00:00 |           2 |   1560 |
| 103 | 2008-05-20 00:00:00 |           4 |   2060 |
+-----+---------------------+-------------+--------+

Now, using FULL JOIN let us join these two tables as follows.

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

This would produce the following result

+------+----------+--------+---------------------+
| ID   | NAME     | AMOUNT | DATE                |
+------+----------+--------+---------------------+
|    1 | Ranith  |   NULL | NULL                |
|    2 | Krupa   |   1560 | 2009-11-20 00:00:00 |
|    3 | kaulik  |   3000 | 2009-10-08 00:00:00 |
|    3 | kaulik  |   1500 | 2009-10-08 00:00:00 |
|    4 | Chaitan |   2060 | 2008-05-20 00:00:00 |
|    7 | Munny   |   NULL | NULL                |
|    3 | kaulik  |   3000 | 2009-10-08 00:00:00 |
|    3 | kaulik  |   1500 | 2009-10-08 00:00:00 |
|    2 | Krupa   |   1560 | 2009-11-20 00:00:00 |
|    4 | Chaitan |   2060 | 2008-05-20 00:00:00 |
+------+----------+--------+--------------------+