PostgreSQL的UNION子句/運算符用於合並兩個或多個SELECT語句的結果,不返回任何重復的行。
直接使用UNION,每個SELECT選擇的列數必須具有相同的,相同數目的列表達式相同的數據類型,並讓它們在相同的順序,但它們不必是相同的長度。
UNION的基本語法如下:
SELECT column1 [, column2 ] FROM table1 [, table2 ] [WHERE condition] UNION SELECT column1 [, column2 ] FROM table1 [, table2 ] [WHERE condition]
這裡給定的條件可以是根據需要的任何表達式。
考慮以下兩個表: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)
現在,讓我們加入這兩個表使用SELECT語句連同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運算符是用來結合兩個SELECT語句,包括重復行的結果。聯盟適用同樣的規則適用於UNION ALL運算符。
UNION ALL的基本語法如下:
SELECT column1 [, column2 ] FROM table1 [, table2 ] [WHERE condition] UNION ALL SELECT column1 [, column2 ] FROM table1 [, table2 ] [WHERE condition]
這裡給定的條件可以是任何表達式,根據需要。
現在,讓我們攜手上述兩個表中的SELECT語句如下:
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;
這將產生以下結果:
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)