发布于 2015-07-12 03:16:10 | 225 次阅读 | 评论: 0 | 来源: 网络整理
PostgreSQL的UNION子句/运算符用于合并两个或多个SELECT语句的结果,不返回任何重复的行。
直接使用UNION,每个SELECT选择的列数必须具有相同的,相同数目的列表达式相同的数据类型,并让它们在相同的顺序,但它们不必是相同的长度。
UNION的基本语法如下:
SELECT column1 [, column2 ]
FROM table1 [, table2 ]
[WHERE condition]
UNION
SELECT column1 [, column2 ]
FROM table1 [, table2 ]
[WHERE condition]
这里给定的条件可以是根据需要的任何表达式。
考虑以下两个表:COMPANY 表如下:
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)
另一表是DEPARTMENT 如下:
testdb=# SELECT * from DEPARTMENT;
id | dept | emp_id
----+-------------+--------
1 | IT Billing | 1
2 | Engineering | 2
3 | Finance | 7
4 | Engineering | 3
5 | Finance | 4
6 | Engineering | 5
7 | Finance | 6
(7 rows)
现在,让我们加入这两个表使用SELECT语句连同UNION子句如下:
testdb=# SELECT EMP_ID, NAME, DEPT FROM COMPANY INNER JOIN DEPARTMENT
ON COMPANY.ID = DEPARTMENT.EMP_ID
UNION
SELECT EMP_ID, NAME, DEPT FROM COMPANY LEFT OUTER JOIN DEPARTMENT
ON COMPANY.ID = DEPARTMENT.EMP_ID;
This would produce following result:
emp_id | name | dept
--------+-------+--------------
5 | David | Engineering
6 | Kim | Finance
2 | Allen | Engineering
3 | Teddy | Engineering
4 | Mark | Finance
1 | Paul | IT Billing
7 | James | Finance
(7 rows)
UNION ALL运算符是用来结合两个SELECT语句,包括重复行的结果。联盟适用同样的规则适用于UNION ALL运算符。
UNION ALL的基本语法如下:
SELECT column1 [, column2 ]
FROM table1 [, table2 ]
[WHERE condition]
UNION ALL
SELECT column1 [, column2 ]
FROM table1 [, table2 ]
[WHERE condition]
这里给定的条件可以是任何表达式,根据需要。
现在,让我们携手上述两个表中的SELECT语句如下:
testdb=# SELECT EMP_ID, NAME, DEPT FROM COMPANY INNER JOIN DEPARTMENT
ON COMPANY.ID = DEPARTMENT.EMP_ID
UNION ALL
SELECT EMP_ID, NAME, DEPT FROM COMPANY LEFT OUTER JOIN DEPARTMENT
ON COMPANY.ID = DEPARTMENT.EMP_ID;
这将产生以下结果:
emp_id | name | dept
--------+-------+--------------
1 | Paul | IT Billing
2 | Allen | Engineering
7 | James | Finance
3 | Teddy | Engineering
4 | Mark | Finance
5 | David | Engineering
6 | Kim | Finance
1 | Paul | IT Billing
2 | Allen | Engineering
7 | James | Finance
3 | Teddy | Engineering
4 | Mark | Finance
5 | David | Engineering
6 | Kim | Finance
(14 rows)