MariaDB UNION ALL
操作符與UNION
操作符相同,但不會刪除重復(fù)的記錄。它返回查詢中的所有行,并且不刪除各種SELECT
語句之間的重復(fù)行。
語法
SELECT expression1, expression2, ... expression_n
FROM tables
[WHERE conditions]
UNION ALL
SELECT expression1, expression2, ... expression_n
FROM tables
[WHERE conditions];
注意:
UNION All
運(yùn)算符中的每個SELECT
語句在具有相似數(shù)據(jù)類型的結(jié)果集中必須具有相同數(shù)量的字段。
下面來看一個從多個SELECT
語句返回一個字段的UNION
運(yùn)算符的例子。(兩個表具有相同的公共字段)。
假設(shè)有兩張表:students
和teachers
。對應(yīng)的表結(jié)構(gòu)和數(shù)據(jù)如下 -
students
表中的數(shù)據(jù):
MariaDB [testdb]> select * from students;
+------------+--------------+-----------------+----------------+
| student_id | student_name | student_address | admission_date |
+------------+--------------+-----------------+----------------+
| 1 | Maxsu | Haikou | 2017-01-07 |
| 2 | JMaster | Beijing | 2016-05-07 |
| 3 | Mahesh | Guangzhou | 2016-06-07 |
| 4 | Kobe | Shanghai | 2016-02-07 |
| 5 | Blaba | Shenzhen | 2016-08-07 |
+------------+--------------+-----------------+----------------+
5 rows in set (0.00 sec)
teachers
表中的數(shù)據(jù):
USE testdb;
DROP TABLE teachers;
CREATE TABLE teachers(
teacher_id INT NOT NULL AUTO_INCREMENT,
name VARCHAR(100) NOT NULL,
address VARCHAR(40) NOT NULL,
admission_date DATE,
PRIMARY KEY ( teacher_id )
);
-- 插入數(shù)據(jù)
INSERT INTO teachers
(teacher_id, name, address, admission_date)
VALUES(1,'Maxsu','Haikou','2013-06-07 00:00:00');
INSERT INTO teachers
(teacher_id, name, address, admission_date)
VALUES(2,'張?zhí)旖?jīng)','廣州','2013-08-08 00:00:00');
INSERT INTO teachers
(teacher_id, name, address, admission_date)
VALUES(3,'李四光','三亞','2014-09-07 00:00:00');
經(jīng)過上創(chuàng)建和插入數(shù)據(jù),現(xiàn)在teachers
表中擁有以下數(shù)據(jù)記錄 -
MariaDB [testdb]> select * from teachers;
+------------+--------+---------+----------------+
| teacher_id | name | address | admission_date |
+------------+--------+---------+----------------+
| 1 | Maxsu | Haikou | 2013-06-07 |
| 2 | 張?zhí)旖?jīng) | 廣州 | 2013-08-08 |
| 3 | 李四光 | 三亞 | 2014-09-07 |
+------------+--------+---------+----------------+
3 rows in set (0.00 sec)
假設(shè)現(xiàn)在要查詢所有學(xué)生和老師的姓名,以及他們的地址,可參考以下查詢語句 -
SELECT student_name AS name, student_address as address
FROM Students
UNION ALL
SELECT name,address
FROM teachers;
執(zhí)行上面查詢語句,得到以下結(jié)果 -
MariaDB [testdb]> SELECT student_name AS name, student_address as address
-> FROM Students
-> UNION ALL
-> SELECT name,address
-> FROM teachers;
+---------+-----------+
| name | address |
+---------+-----------+
| Maxsu | Haikou |
| JMaster | Beijing |
| Mahesh | Guangzhou |
| Kobe | Shanghai |
| Blaba | Shenzhen |
| Maxsu | Haikou |
| 張?zhí)旖?jīng) | 廣州 |
| 李四光 | 三亞 |
+---------+-----------+
8 rows in set (0.00 sec)
注:如果這里不使用
UNION ALL
,而是使用UNION
,那么查詢結(jié)果是什么?
它顯示了兩個表中重復(fù)的name
列的值 - 'Maxsu'
。
使用ORDER BY
子句的UNION
運(yùn)算符從兩個表中檢索多個列。參考以下語句 -
SELECT student_id, student_name
FROM Students
WHERE student_name = 'Maxsu'
UNION ALL
SELECT teacher_id, address
FROM teachers
WHERE teacher_id < 3
ORDER BY 1;
執(zhí)行上面示例代碼,得到以下結(jié)果 -
MariaDB [testdb]> SELECT student_id, student_name
-> FROM Students
-> WHERE student_name = 'Maxsu'
-> UNION ALL
-> SELECT teacher_id, address
-> FROM teachers
-> WHERE teacher_id < 3
-> ORDER BY 1;
+------------+--------------+
| student_id | student_name |
+------------+--------------+
| 1 | Haikou |
| 1 | Maxsu |
| 2 | 廣州 |
+------------+--------------+
3 rows in set (0.00 sec)
具有不同列名的表之間的UNION:
(SELECT e_name AS name, email FROM employees)
UNION ALL
(SELECT c_name AS name, email FROM customers);
指定UNION的全局順序并限制總行數(shù):
(SELECT name, email FROM employees)
UNION ALL
(SELECT name, email FROM customers)
ORDER BY name LIMIT 10;
添加一個常數(shù)行:
(SELECT 'John Doe' AS name, 'john.doe@example.net' AS email)
UNION ALL
(SELECT name, email FROM customers);
不同的類型:
SELECT CAST('x' AS CHAR(1)) UNION ALL SELECT REPEAT('y',4);
+----------------------+
| CAST('x' AS CHAR(1)) |
+----------------------+
| x |
| yyyy |
+----------------------+
按照每個SELECT使用排序列的順序返回結(jié)果:
(SELECT 1 AS sort_column, e_name AS name, email FROM employees)
UNION ALL
(SELECT 2, c_name AS name, email FROM customers) ORDER BY sort_column;