SQL排序結果

SQL ORDER BY子句用於對數據根據一個或一個以上的列按升序或降序進行排序。一些數據庫默認排序查詢結果按升序排列。

語法

ORDER BY子句的基本語法，將用於在升序或降序排列結果如下：

SELECT column-list
FROM table_name [WHERE condition] [ORDER BY column1, column2, .. columnN] [ASC | DESC];

您可以在ORDER BY子句中使用多列。確保不管使用的是排序什麼列，此列應該在 column-list 中。

例子：

考慮CUSTOMERS表具有以下記錄：

+----+----------+-----+-----------+----------+ | 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 | +----+----------+-----+-----------+----------+

下面是一個例子，這將結果通過NAME和SALARY按升序排序：

SQL> SELECT * FROM CUSTOMERS
ORDER BY NAME, SALARY;

這將產生以下結果：

+----+----------+-----+-----------+----------+ | ID | NAME | AGE | ADDRESS | SALARY | +----+----------+-----+-----------+----------+ | 4 | Chaitali | 25 | Mumbai | 6500.00 | | 5 | Hardik | 27 | Bhopal | 8500.00 | | 3 | kaushik | 23 | Kota | 2000.00 | | 2 | Khilan | 25 | Delhi | 1500.00 | | 6 | Komal | 22 | MP | 4500.00 | | 7 | Muffy | 24 | Indore | 10000.00 | | 1 | Ramesh | 32 | Ahmedabad | 2000.00 | +----+----------+-----+-----------+----------+

下面是一個例子，這將結果按NAME降序排序：

SQL> SELECT * FROM CUSTOMERS
ORDER BY NAME DESC;

這將產生以下結果：

+----+----------+-----+-----------+----------+ | ID | NAME | AGE | ADDRESS | SALARY | +----+----------+-----+-----------+----------+ | 1 | Ramesh | 32 | Ahmedabad | 2000.00 | | 7 | Muffy | 24 | Indore | 10000.00 | | 6 | Komal | 22 | MP | 4500.00 | | 2 | Khilan | 25 | Delhi | 1500.00 | | 3 | kaushik | 23 | Kota | 2000.00 | | 5 | Hardik | 27 | Bhopal | 8500.00 | | 4 | Chaitali | 25 | Mumbai | 6500.00 | +----+----------+-----+-----------+----------+

獲取使用自己的優先順序行，SELECT查詢將如下：

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;

這將產生以下結果：

+----+----------+-----+-----------+----------+ | 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 | +----+----------+-----+-----------+----------+

這將在你自己喜歡的順序首先在一個自然順序，對剩餘的地址按客戶的ADDRESS進行排序。同時剩餘的地址將在相反的字母順序進行排序。