PostgreSQL的ORDER BY子句是用來升序或降序排列,根據一個或多個列中的數據進行排序。
ORDER BY子句的基本語法如下:
SELECT column-list FROM table_name [WHERE condition] [ORDER BY column1, column2, .. columnN] [ASC | DESC];
可以在多列使用ORDER BY子句。確保使用的任何列進行排序,列出相應列表。
考慮表公司有如下記錄:
testdb# select * from COMPANY; id | name | age | address | salary ----+-------+-----+-----------+-------- 1 | Paul | 32 | California| 20000 2 | Allen | 25 | Texas | 15000 3 | Teddy | 23 | Norway | 20000 4 | Mark | 25 | Rich-Mond | 65000 5 | David | 27 | Texas | 85000 6 | Kim | 22 | South-Hall| 45000 7 | James | 24 | Houston | 10000 (7 rows)
按年AGE升序排序結果下面是一個例子:
testdb=# SELECT * FROM COMPANY ORDER BY AGE ASC;
這將產生以下結果:
id | name | age | address | salary ----+-------+-----+------------+-------- 6 | Kim | 22 | South-Hall | 45000 3 | Teddy | 23 | Norway | 20000 7 | James | 24 | Houston | 10000 8 | Paul | 24 | Houston | 20000 4 | Mark | 25 | Rich-Mond | 65000 2 | Allen | 25 | Texas | 15000 5 | David | 27 | Texas | 85000 1 | Paul | 32 | California | 20000 9 | James | 44 | Norway | 5000 10 | James | 45 | Texas | 5000 (10 rows)
下面是一個例子,這將排序結果按降序 NAME 和SALARY:
testdb=# SELECT * FROM COMPANY ORDER BY NAME, SALARY ASC;
這將產生以下結果:
id | name | age | address | salary ----+-------+-----+--------------+-------- 2 | Allen | 25 | Texas | 15000 5 | David | 27 | Texas | 85000 10 | James | 45 | Texas | 5000 9 | James | 44 | Norway | 5000 7 | James | 24 | Houston | 10000 6 | Kim | 22 | South-Hall | 45000 4 | Mark | 25 | Rich-Mond | 65000 1 | Paul | 32 | California | 20000 8 | Paul | 24 | Houston | 20000 3 | Teddy | 23 | Norway | 20000 (10 rows)
以下是一個例子,它會在NAME降序排序結果:
testdb=# SELECT * FROM COMPANY ORDER BY NAME DESC;
這將產生以下結果:
id | name | age | address | salary ----+-------+-----+------------+-------- 3 | Teddy | 23 | Norway | 20000 1 | Paul | 32 | California | 20000 8 | Paul | 24 | Houston | 20000 4 | Mark | 25 | Rich-Mond | 65000 6 | Kim | 22 | South-Hall | 45000 7 | James | 24 | Houston | 10000 9 | James | 44 | Norway | 5000 10 | James | 45 | Texas | 5000 5 | David | 27 | Texas | 85000 2 | Allen | 25 | Texas | 15000 (10 rows)