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SQL SORTING Results

 


SQL SORTING Results

The SQL ORDER BY clause is used to sort the data in ascending or descending order, based on one or more columns. Some databases sort query results in ascending order by default.

 

Syntax:

The basic syntax of ORDER BY clause which would be used to sort result in ascending or descending order is as follows:

 

SELECT column-list

FROM table_name

[WHERE condition]

[ORDER BY column1, column2, .. columnN] [ASC | DESC];

 

You can use more than one column in the ORDER BY clause. Make sure whatever column you are using to sort, that column should be in column-list.

 

Example:

Consider the CUSTOMERS table having the following records:

+----+-------------+------+-----------------+---------------+

| ID  | NAME      | AGE  | ADDRESS      | SALARY       |

+----+-------------+------+-----------------+---------------+

| 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    | MP                   | 4500.00       |

| 7    | Muffy       | 24    | Indore            | 10000.00     |

+----+-------------+------+-----------------+---------------+

 

To fetch the rows with own preferred order, the SELECT query would be as follows:

 

SQL> SELECT * FROM CUSTOMERS

ORDER BY (CASE ADDRESS

WHEN 'DELHI' THEN 1

WHEN 'BHOPAL' THEN 2

WHEN 'KOTA' THEN 3

WHEN 'AHMADABAD' THEN 4

WHEN 'MP' THEN 5

ELSE 100 END) ASC, ADDRESS DESC;

 

This would produce the following result:

+------+------------+------+-----------------+--------------+

| ID     | NAME     | AGE | ADDRESS       | SALARY     |

+------+------------+------+-----------------+--------------+

| 2       | Khilan     | 25    | Delhi               | 1500.00     |

| 5       | Hardik    | 27    | Bhopal            | 8500.00     |

| 3       | kaushik  | 23    | Kota                 | 2000.00     |

| 6       | Komal     | 22    | MP                   | 4500.00     |

| 4       | Chaitali   | 25    | Mumbai         | 6500.00     |

| 7       | Muffy       | 24    | Indore            | 10000.00  |

| 1       | Ramesh   | 32    | Ahmedabad | 2000.00     |

+------+-------------+------+----------------+--------------+

 

This will sort customers by ADDRESS in your own Order of preference first and in a natural order for the remaining addresses. Also, remaining Addresses will be sorted in the reverse alpha order.

 





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