PostgreSQL – UNIONS 子句
PostgreSQL – UNIONS 子句
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 必须选择相同数量的列、相同数量的列表达式、相同数据类型,并且它们的顺序相同但长度不必相同。
句法
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]
在这里,给定条件可以是基于您的要求的任何给定表达式。
例子
考虑以下两个表,(a) 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)
(b) 另一个表是DEPARTMENT,如下所示 –
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 条款
UNION ALL 运算符用于组合包括重复行在内的两个 SELECT 语句的结果。适用于 UNION 的相同规则也适用于 UNION ALL 运算符。
句法
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]
在这里,给定条件可以是基于您的要求的任何给定表达式。
例子
现在,让我们在 SELECT 语句中加入上述两个表,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 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)