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,并且它们具有相同的顺序,但它们的长度不必相同.
语法
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]
此处,给定条件可以是基于您的要求的任何给定表达式.
示例
考虑以下两个表,(a)公司表格如下 :
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)
(b)另一个表是 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)
现在让我们使用SELECT语句和UNION子句连接这两个表,如下所示 :
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;
这会产生以下结果 :
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子句
UNION ALL运算符用于组合两个SELECT语句的结果,包括重复的行.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条件] UNION ALL SELECT column1 [,column2] FROM table1 [,table2] [WHERE condition]
此处,给定条件可以是基于您的要求的任何给定表达式.
示例
现在,让我们在SELECT语句中加入上面提到的两个表,如下所示 :
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 JOINMENT ON COMPANY.ID = DEPARTMENT.EMP_ID;
这会产生以下结果 :
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)