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)另一张表是
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)现在使用
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;这将产生以下结果:
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;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)