MySQL Study之--MySQL 表连接_MySQL
一.Join语法概述
join 用于多表中字段之间的联系,语法如下:
... FROM table1 INNER|LEFT|RIGHT JOIN table2 ON condition
table1:左表;table2:右表。
JOIN 按照功能大致分为如下三类:
INNER JOIN(内连接,或等值连接):取得两个表中存在连接匹配关系的记录。
LEFT JOIN(左连接):取得左表(table1)完全记录,即是右表(table2)并无对应匹配记录。
RIGHT JOIN(右连接):与 LEFT JOIN 相反,取得右表(table2)完全记录,即是左表(table1)并无匹配对应记录。
注意:mysql不支持Full join,不过可以通过UNION 关键字来合并 LEFT JOIN 与 RIGHT JOIN来模拟FULL join.
案例分析:
1、案例环境
mysql> select * from emp; +-------+--------+-----------+------+------------+------+------+--------+ | empno | ENAME | JOB | MGR | HIRE | SAL | COMM | deptno | +-------+--------+-----------+------+------------+------+------+--------+ | 7369 | SMITH | CLERK | 7902 | 1980-12-17 | 800 | NULL | 20 | | 7499 | ALLEN | SALESMAN | 7698 | 1981-02-20 | 1600 | 300 | 30 | | 7521 | WARD | SALESMAN | 7698 | 1981-02-22 | 1250 | 500 | 30 | | 7566 | JONES | MANAGER | 7839 | 1981-04-02 | 2975 | NULL | 20 | | 7654 | MARTIN | SALESMAN | 7698 | 1981-09-28 | 1250 | 1400 | 30 | | 7698 | BLAKE | MANAGER | 7839 | 1981-05-01 | 2850 | NULL | 30 | | 7782 | CLARK | MANAGER | 7839 | 1981-06-09 | 2450 | NULL | 10 | | 7788 | SCOTT | ANALYST | 7566 | 1987-07-13 | 3000 | NULL | 20 | | 7839 | KING | PRESIDENT | NULL | 1981-11-17 | 5000 | NULL | 10 | | 7844 | TURNER | SALESMAN | 7698 | 1981-09-08 | 1500 | 0 | 30 | | 7876 | ADAMS | CLERK | 7788 | 1987-06-13 | 1100 | NULL | 20 | | 7900 | JAMES | CLERK | 7698 | 1981-12-03 | 950 | NULL | 30 | | 7902 | FORD | ANALYST | 7566 | 1981-12-03 | 3000 | NULL | 20 | | 7934 | MILLER | CLERK | 7782 | 1982-01-23 | 1300 | NULL | 10 | +-------+--------+-----------+------+------------+------+------+--------+ 14 rows in set (0.00 sec) mysql> select * from dept; +--------+------------+---------+ | deptNO | DNAME | LOC | +--------+------------+---------+ | 10 | ACCOUNTING | NEWYORK | | 20 | RESEARCH | DALLAS | | 30 | SALES | CHICAGO | | 40 | OPERATIONS | BOSTON | +--------+------------+---------+ 4 rows in set (0.00 sec)
inner join:(内连接,或等值连接):取得两个表中存在连接匹配关系的记录。
mysql> select e.empno,e.ename,e.sal,e.deptno,d.dname -> from emp e -> inner join dept d -> where e.deptno=d.deptno; +-------+--------+------+--------+------------+ | empno | ename | sal | deptno | dname | +-------+--------+------+--------+------------+ | 7782 | CLARK | 2450 | 10 | ACCOUNTING | | 7839 | KING | 5000 | 10 | ACCOUNTING | | 7934 | MILLER | 1300 | 10 | ACCOUNTING | | 7369 | SMITH | 800 | 20 | RESEARCH | | 7566 | JONES | 2975 | 20 | RESEARCH | | 7788 | SCOTT | 3000 | 20 | RESEARCH | | 7876 | ADAMS | 1100 | 20 | RESEARCH | | 7902 | FORD | 3000 | 20 | RESEARCH | | 7499 | ALLEN | 1600 | 30 | SALES | | 7521 | WARD | 1250 | 30 | SALES | | 7654 | MARTIN | 1250 | 30 | SALES | | 7698 | BLAKE | 2850 | 30 | SALES | | 7844 | TURNER | 1500 | 30 | SALES | | 7900 | JAMES | 950 | 30 | SALES | +-------+--------+------+--------+------------+ 14 rows in set (0.00 sec) mysql> select e.empno,e.ename,e.sal,e.deptno,d.dname -> from emp e -> inner join dept d -> on e.deptno=d.deptno; +-------+--------+------+--------+------------+ | empno | ename | sal | deptno | dname | +-------+--------+------+--------+------------+ | 7782 | CLARK | 2450 | 10 | ACCOUNTING | | 7839 | KING | 5000 | 10 | ACCOUNTING | | 7934 | MILLER | 1300 | 10 | ACCOUNTING | | 7369 | SMITH | 800 | 20 | RESEARCH | | 7566 | JONES | 2975 | 20 | RESEARCH | | 7788 | SCOTT | 3000 | 20 | RESEARCH | | 7876 | ADAMS | 1100 | 20 | RESEARCH | | 7902 | FORD | 3000 | 20 | RESEARCH | | 7499 | ALLEN | 1600 | 30 | SALES | | 7521 | WARD | 1250 | 30 | SALES | | 7654 | MARTIN | 1250 | 30 | SALES | | 7698 | BLAKE | 2850 | 30 | SALES | | 7844 | TURNER | 1500 | 30 | SALES | | 7900 | JAMES | 950 | 30 | SALES | +-------+--------+------+--------+------------+ 14 rows in set (0.00 sec)
隐式内连接:
mysql> select e.empno,e.ename,e.sal,e.deptno,d.dname -> from emp e,dept d -> where e.deptno=d.deptno; +-------+--------+------+--------+------------+ | empno | ename | sal | deptno | dname | +-------+--------+------+--------+------------+ | 7782 | CLARK | 2450 | 10 | ACCOUNTING | | 7839 | KING | 5000 | 10 | ACCOUNTING | | 7934 | MILLER | 1300 | 10 | ACCOUNTING | | 7369 | SMITH | 800 | 20 | RESEARCH | | 7566 | JONES | 2975 | 20 | RESEARCH | | 7788 | SCOTT | 3000 | 20 | RESEARCH | | 7876 | ADAMS | 1100 | 20 | RESEARCH | | 7902 | FORD | 3000 | 20 | RESEARCH | | 7499 | ALLEN | 1600 | 30 | SALES | | 7521 | WARD | 1250 | 30 | SALES | | 7654 | MARTIN | 1250 | 30 | SALES | | 7698 | BLAKE | 2850 | 30 | SALES | | 7844 | TURNER | 1500 | 30 | SALES | | 7900 | JAMES | 950 | 30 | SALES | +-------+--------+------+--------+------------+ 14 rows in set (0.00 sec)
left join:取得左表(table1)完全记录,即是右表(table2)并无对应匹配记录。
mysql> update emp set deptno=null where empno=7788; Query OK, 1 row affected (0.07 sec) Rows matched: 1 Changed: 1 Warnings: 0 mysql> commit; Query OK, 0 rows affected (0.00 sec) mysql> select * from emp where empno=7788; +-------+-------+---------+------+------------+------+------+--------+ | empno | ENAME | JOB | MGR | HIRE | SAL | COMM | deptno | +-------+-------+---------+------+------------+------+------+--------+ | 7788 | SCOTT | ANALYST | 7566 | 1987-07-13 | 3000 | NULL | NULL | +-------+-------+---------+------+------------+------+------+--------+ 1 row in set (0.00 sec)
采用等值连接:
mysql> select e.empno,e.ename,e.sal,e.deptno,d.dname -> from emp e -> inner join dept d on e.deptno=d.deptno; +-------+--------+------+--------+------------+ | empno | ename | sal | deptno | dname | +-------+--------+------+--------+------------+ | 7782 | CLARK | 2450 | 10 | ACCOUNTING | | 7839 | KING | 5000 | 10 | ACCOUNTING | | 7934 | MILLER | 1300 | 10 | ACCOUNTING | | 7369 | SMITH | 800 | 20 | RESEARCH | | 7566 | JONES | 2975 | 20 | RESEARCH | | 7876 | ADAMS | 1100 | 20 | RESEARCH | | 7902 | FORD | 3000 | 20 | RESEARCH | | 7499 | ALLEN | 1600 | 30 | SALES | | 7521 | WARD | 1250 | 30 | SALES | | 7654 | MARTIN | 1250 | 30 | SALES | | 7698 | BLAKE | 2850 | 30 | SALES | | 7844 | TURNER | 1500 | 30 | SALES | | 7900 | JAMES | 950 | 30 | SALES | +-------+--------+------+--------+------------+ 13 rows in set (0.00 sec)
-----对于等值连接,只能看到条件匹配的记录!
mysql> select e.empno,e.ename,e.sal,e.deptno,d.dname -> from emp e -> left join dept d on e.deptno=d.deptno; +-------+--------+------+--------+------------+ | empno | ename | sal | deptno | dname | +-------+--------+------+--------+------------+ | 7782 | CLARK | 2450 | 10 | ACCOUNTING | | 7839 | KING | 5000 | 10 | ACCOUNTING | | 7934 | MILLER | 1300 | 10 | ACCOUNTING | | 7369 | SMITH | 800 | 20 | RESEARCH | | 7566 | JONES | 2975 | 20 | RESEARCH | | 7876 | ADAMS | 1100 | 20 | RESEARCH | | 7902 | FORD | 3000 | 20 | RESEARCH | | 7499 | ALLEN | 1600 | 30 | SALES | | 7521 | WARD | 1250 | 30 | SALES | | 7654 | MARTIN | 1250 | 30 | SALES | | 7698 | BLAKE | 2850 | 30 | SALES | | 7844 | TURNER | 1500 | 30 | SALES | | 7900 | JAMES | 950 | 30 | SALES | | 7788 | SCOTT | 3000 | NULL | NULL | +-------+--------+------+--------+------------+ 14 rows in set (0.00 sec)
-----通过left join可以查看到emp表中不符合条件的记录!
right join:与 LEFT JOIN 相反,取得右表(table2)完全记录,即是左表(table1)并无匹配对应记录。
mysql> select e.empno,e.ename,e.sal,d.deptno,d.dname -> from emp e -> right join dept d on e.deptno=d.deptno; +-------+--------+------+--------+------------+ | empno | ename | sal | deptno | dname | +-------+--------+------+--------+------------+ | 7782 | CLARK | 2450 | 10 | ACCOUNTING | | 7839 | KING | 5000 | 10 | ACCOUNTING | | 7934 | MILLER | 1300 | 10 | ACCOUNTING | | 7369 | SMITH | 800 | 20 | RESEARCH | | 7566 | JONES | 2975 | 20 | RESEARCH | | 7876 | ADAMS | 1100 | 20 | RESEARCH | | 7902 | FORD | 3000 | 20 | RESEARCH | | 7499 | ALLEN | 1600 | 30 | SALES | | 7521 | WARD | 1250 | 30 | SALES | | 7654 | MARTIN | 1250 | 30 | SALES | | 7698 | BLAKE | 2850 | 30 | SALES | | 7844 | TURNER | 1500 | 30 | SALES | | 7900 | JAMES | 950 | 30 | SALES | | NULL | NULL | NULL | 40 | OPERATIONS | +-------+--------+------+--------+------------+ 14 rows in set (0.00 sec)
------查询到dept表中,不符合条件的记录!!!
浅析Mysql Join语法以及性能优化
在讲MySQL的Join语法前还是先回顾一下联结的语法,呵呵,其实连我自己都忘得差不多了,那就大家一起温习吧,这里我有个比较简便的记忆方法,内外联结的区别是内联结将去除所有不符合条件的记录,而外联结则保留其中部分。外左联结与外右联结的区别在于如果用A左联结B则A中所有记录都会保留在结果中,此时B中只有符合联结条件的记录,而右联结相反,这样也就不会混淆
了。
一.Join语法概述
join 用于多表中字段之间的联系,语法如下:
... FROM table1 INNER|LEFT|RIGHT JOIN table2 ON conditiona
table1:左表;table2:右表。
JOIN 按照功能大致分为如下三类:
INNER JOIN(内连接,或等值连接):取得两个表中存在连接匹配关系的记录。
LEFT JOIN(左连接):取得左表(table1)完全记录,即是右表(table2)并无对应匹配记录。
RIGHT JOIN(右连接):与 LEFT JOIN 相反,取得右表(table2)完全记录,即是左表(table1)并无匹配对应记录。
注意:mysql不支持Full join,不过可以通过UNION 关键字来合并 LEFT JOIN 与 RIGHT JOIN来模拟FULL join.
接下来给出一个列子用于解释下面几种分类。如下两个表(A,B)
mysql> select A.id,A.name,B.name from A,B where A.id=B.id; +----+-----------+-------------+ | id | name | name | +----+-----------+-------------+ | 1 | Pirate | Rutabaga | | 2 | Monkey | Pirate | | 3 | Ninja | Darth Vader | | 4 | Spaghetti | Ninja | +----+-----------+-------------+ 4 rows in set (0.00 sec)
二.Inner join
内连接,也叫等值连接,inner join产生同时符合A和B的一组数据。
mysql> select * from A inner join B on A.name = B.name; +----+--------+----+--------+ | id | name | id | name | +----+--------+----+--------+ | 1 | Pirate | 2 | Pirate | | 3 | Ninja | 4 | Ninja | +----+--------+----+--------+
三.Left join
mysql> select * from A left join B on A.name = B.name; #或者:select * from A left outer join B on A.name = B.name; +----+-----------+------+--------+ | id | name | id | name | +----+-----------+------+--------+ | 1 | Pirate | 2 | Pirate | | 2 | Monkey | NULL | NULL | | 3 | Ninja | 4 | Ninja | | 4 | Spaghetti | NULL | NULL | +----+-----------+------+--------+ 4 rows in set (0.00 sec)
left join,(或left outer join:在Mysql中两者等价,推荐使用left join.)左连接从左表(A)产生一套完整的记录,与匹配的记录(右表(B)) .如果没有匹配,右侧将包含null
如果想只从左表(A)中产生一套记录,但不包含右表(B)的记录,可以通过设置where语句来执行,如下:
mysql> select * from A left join B on A.name=B.name where A.id is null or B.id is null; +----+-----------+------+------+ | id | name | id | name | +----+-----------+------+------+ | 2 | Monkey | NULL | NULL | | 4 | Spaghetti | NULL | NULL | +----+-----------+------+------+ 2 rows in set (0.00 sec)
同理,还可以模拟inner join. 如下:
mysql> select * from A left join B on A.name=B.name where A.id is not null and B.id is not null; +----+--------+------+--------+ | id | name | id | name | +----+--------+------+--------+ | 1 | Pirate | 2 | Pirate | | 3 | Ninja | 4 | Ninja | +----+--------+------+--------+ 2 rows in set (0.00 sec)
求差集:
根据上面的例子可以求差集,如下:
SELECT * FROM A LEFT JOIN B ON A.name = B.name WHERE B.id IS NULL union SELECT * FROM A right JOIN B ON A.name = B.name WHERE A.id IS NULL; # 结果 +------+-----------+------+-------------+ | id | name | id | name | +------+-----------+------+-------------+ | 2 | Monkey | NULL | NULL | | 4 | Spaghetti | NULL | NULL | | NULL | NULL | 1 | Rutabaga | | NULL | NULL | 3 | Darth Vader | +------+-----------+------+-------------+
四.Right join
mysql> select * from A right join B on A.name = B.name; +------+--------+----+-------------+ | id | name | id | name | +------+--------+----+-------------+ | NULL | NULL | 1 | Rutabaga | | 1 | Pirate | 2 | Pirate | | NULL | NULL | 3 | Darth Vader | | 3 | Ninja | 4 | Ninja | +------+--------+----+-------------+ 4 rows in set (0.00 sec)
同left join。
五.Cross join
cross join:交叉连接,得到的结果是两个表的乘积,即笛卡尔积
笛卡尔(Descartes)乘积又叫直积。假设集合A={a,b},集合B={0,1,2},则两个集合的笛卡尔积为{(a,0),(a,1),(a,2),(b,0),(b,1), (b,2)}。可以扩展到多个集合的情况。类似的例子有,如果A表示某学校学生的集合,B表示该学校所有课程的集合,则A与B的笛卡尔积表示所有可能的选课情况。
mysql> select * from A cross join B; +----+-----------+----+-------------+ | id | name | id | name | +----+-----------+----+-------------+ | 1 | Pirate | 1 | Rutabaga | | 2 | Monkey | 1 | Rutabaga | | 3 | Ninja | 1 | Rutabaga | | 4 | Spaghetti | 1 | Rutabaga | | 1 | Pirate | 2 | Pirate | | 2 | Monkey | 2 | Pirate | | 3 | Ninja | 2 | Pirate | | 4 | Spaghetti | 2 | Pirate | | 1 | Pirate | 3 | Darth Vader | | 2 | Monkey | 3 | Darth Vader | | 3 | Ninja | 3 | Darth Vader | | 4 | Spaghetti | 3 | Darth Vader | | 1 | Pirate | 4 | Ninja | | 2 | Monkey | 4 | Ninja | | 3 | Ninja | 4 | Ninja | | 4 | Spaghetti | 4 | Ninja | +----+-----------+----+-------------+ 16 rows in set (0.00 sec)
#再执行:mysql> select * from A inner join B; 试一试
#在执行mysql> select * from A cross join B on A.name = B.name; 试一试
实际上,在 MySQL 中(仅限于 MySQL) CROSS JOIN 与 INNER JOIN 的表现是一样的,在不指定 ON 条件得到的结果都是笛卡尔积,反之取得两个表完全匹配的结果。 INNER JOIN 与 CROSS JOIN 可以省略 INNER 或 CROSS 关键字,因此下面的 SQL 效果是一样的:
... FROM table1 INNER JOIN table2
... FROM table1 CROSS JOIN table2
... FROM table1 JOIN table2
六.Full join
mysql> select * from A left join B on B.name = A.name -> union -> select * from A right join B on B.name = A.name; +------+-----------+------+-------------+ | id | name | id | name | +------+-----------+------+-------------+ | 1 | Pirate | 2 | Pirate | | 2 | Monkey | NULL | NULL | | 3 | Ninja | 4 | Ninja | | 4 | Spaghetti | NULL | NULL | | NULL | NULL | 1 | Rutabaga | | NULL | NULL | 3 | Darth Vader | +------+-----------+------+-------------+ 6 rows in set (0.00 sec)
全连接产生的所有记录(双方匹配记录)在表A和表B。如果没有匹配,则对面将包含null。
七.性能优化
1.显示(explicit) inner join VS 隐式(implicit) inner join
如:
select * from
table a inner join table b
on a.id = b.id;
VS
select a.*, b.*
from table a, table b
where a.id = b.id;
我在数据库中比较(10w数据)得之,它们用时几乎相同,第一个是显示的inner join,后一个是隐式的inner join。
2.left join/right join VS inner join
尽量用inner join.避免 LEFT JOIN 和 NULL.
在使用left join(或right join)时,应该清楚的知道以下几点:
(1). on与 where的执行顺序
ON 条件(“A LEFT JOIN B ON 条件表达式”中的ON)用来决定如何从 B 表中检索数据行。如果 B 表中没有任何一行数据匹配 ON 的条件,将会额外生成一行所有列为 NULL 的数据,在匹配阶段 WHERE 子句的条件都不会被使用。仅在匹配阶段完成以后,WHERE 子句条件才会被使用。它将从匹配阶段产生的数据中检索过滤。
所以我们要注意:在使用Left (right) join的时候,一定要在先给出尽可能多的匹配满足条件,减少Where的执行。如:
PASS select * from A inner join B on B.name = A.name left join C on C.name = B.name left join D on D.id = C.id where C.status>1 and D.status=1; select * from A inner join B on B.name = A.name left join C on C.name = B.name and C.status>1 left join D on D.id = C.id and D.status=1
从上面例子可以看出,尽可能满足ON的条件,而少用Where的条件。从执行性能来看第二个显然更加省时。
(2).注意ON 子句和 WHERE 子句的不同
如作者举了一个列子:
mysql> SELECT * FROM product LEFT JOIN product_details ON (product.id = product_details.id) AND product_details.id=2; +----+--------+------+--------+-------+ | id | amount | id | weight | exist | +----+--------+------+--------+-------+ | 1 | 100 | NULL | NULL | NULL | | 2 | 200 | 2 | 22 | 0 | | 3 | 300 | NULL | NULL | NULL | | 4 | 400 | NULL | NULL | NULL | +----+--------+------+--------+-------+ 4 rows in set (0.00 sec) mysql> SELECT * FROM product LEFT JOIN product_details ON (product.id = product_details.id) WHERE product_details.id=2; +----+--------+----+--------+-------+ | id | amount | id | weight | exist | +----+--------+----+--------+-------+ | 2 | 200 | 2 | 22 | 0 | +----+--------+----+--------+-------+ 1 row in set (0.01 sec)
从上可知,第一条查询使用 ON 条件决定了从 LEFT JOIN的 product_details表中检索符合的所有数据行。第二条查询做了简单的LEFT JOIN,然后使用 WHERE 子句从 LEFT JOIN的数据中过滤掉不符合条件的数据行。
(3).尽量避免子查询,而用join
往往性能这玩意儿,更多时候体现在数据量比较大的时候,此时,我们应该避免复杂的子查询。如下:
insert into t1(a1) select b1 from t2 where not exists(select 1 from t1 where t1.id = t2.r_id);
insert into t1(a1)
select b1 from t2
left join (select distinct t1.id from t1 ) t1 on t1.id = t2.r_id
where t1.id is null;