PostgreSQL UNION子句/运算符用于组合两个或多个SELECT语句的结果,而不返回任何重复的行。
要使用UNION,每个SELECT必须具有相同的列数,相同数量的列表达式,相同的数据类型,并且具有相同的顺序,但不一定要相同。
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] |
这里根据您的要求给出的条件表达式。
示例:
考虑以下两个表,COMPANY
表如下:
web3_db=# 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) |
DEPARTMENT
如下:
web3_db=# 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) |
SELECT
语句和UNION
子句连接这两个表,如下所示:
web3_db=# 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; |
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
运算符用于组合两个SELECT
语句(包括重复行)的结果。 适用于UNION的相同规则也适用于UNION ALL
运算符。
语法:
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] |
这里根据您的要求给出的条件表达式。
示例:
现在,我们在SELECT语句中加入上面提到的两个表,如下所示:
web3_db=# 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; |
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) |