mysql视频教程栏目介绍查询语句的操作
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一.查询语句的基本操作1.查询语句的基本操作 - select - from - where:约束条件 - group by:分组 - having：过滤 - distinct：去重 - order by：排序 - limit：限制查询记录的数量 - 聚合函数: count（计数） max（最大值） min（最小值） avg（平均值） sum(求和)
二.单表查询1、前期表与数据准备# 创建一张部门表create table emp( id int not null unique auto_increment, name varchar(20) not null, sex enum('male','female') not null default 'male', #大部分是男的 age int(3) unsigned not null default 28, hire_date date not null, post varchar(50), post_comment varchar(100), salary double(15,2), office int, # 一个部门一个屋子 depart_id int);# 插入记录# 三个部门：教学，销售，运营insert into emp(name,sex,age,hire_date,post,salary,office,depart_id) values('tank','male',17,'20170301','张江第一帅形象代言部门',7300.33,401,1), # 以下是教学部('egon','male',78,'20150302','teacher',1000000.31,401,1),('kevin','male',81,'20130305','teacher',8300,401,1),('jason','male',73,'20140701','teacher',3500,401,1),('owen','male',28,'20121101','teacher',2100,401,1),('jerry','female',18,'20110211','teacher',9000,401,1),('大饼','male',18,'19000301','teacher',30000,401,1),('sean','male',48,'20101111','teacher',10000,401,1),('歪歪','female',48,'20150311','sale',3000.13,402,2),# 以下是销售部门('丫丫','female',38,'20101101','sale',2000.35,402,2),('丁丁','female',18,'20110312','sale',1000.37,402,2),('星星','female',18,'20160513','sale',3000.29,402,2),('格格','female',28,'20170127','sale',4000.33,402,2),('张野','male',28,'20160311','operation',10000.13,403,3), # 以下是运营部门('程咬金','male',18,'19970312','operation',20000,403,3),('程咬银','female',18,'20130311','operation',19000,403,3),('程咬铜','male',18,'20150411','operation',18000,403,3),('程咬铁','female',18,'20140512','operation',17000,403,3);# ps：如果在windows系统中，插入中文字符，select的结果为空白，可以将所有字符编码统一设置成gbk- select * from emp; # 若数据比较多，比较凌乱，可以在表后面+ \g- select * from emp\g
- select * from emp; # 若数据比较多，比较凌乱，可以在表后面+ \g - select * from emp\g
重点： 写sql语句必须遵循两点: - 书写顺序:# 获取id为 4、5的两条记录select * from emp where id > 3 and id < 6; - select - from - where - 执行顺序: 比如: 图书管理员，得先找到是哪一个图书馆(哪张表), 再找这本书在图书馆的哪个位置(哪一条记录), 最后查找这个本书中某一页(哪些字段值); select * from emp where id > 3 and id < 6; - from ---> 找到图书馆 - where ---> 找到书的位置 - select ---> 找到书本中的某一页 注意: 必须记住sql语句的 书写顺序 与 执行顺序(*******);
1.where(约束条件)# ps: 根据执行顺序来书写 sql语句，一步一步来写;# 1.查询id大于等于3小于等于6的数据(and:与)select * from emp where id >= 3 and id <= 6;mysql> select * from emp where id > 3 and id <= 6;+----+-------+--------+-----+------------+---------+--------------+---------+--------+-----------+| id | name | sex | age | hire_date | post | post_comment | salary | office | depart_id |+----+-------+--------+-----+------------+---------+--------------+---------+--------+-----------+| 4 | jason | male | 73 | 2014-07-01 | teacher | null | 3500.00 | 401 | 1 || 5 | owen | male | 28 | 2012-11-01 | teacher | null | 2100.00 | 401 | 1 || 6 | jerry | female | 18 | 2011-02-11 | teacher | null | 9000.00 | 401 | 1 |+----+-------+--------+-----+------------+---------+--------------+---------+--------+-----------+3 rows in set (0.00 sec)#可以使用between()and() :两者之间mysql> select * from emp where id between 3 and 6;+----+-------+--------+-----+------------+---------+--------------+---------+--------+-----------+| id | name | sex | age | hire_date | post | post_comment | salary | office | depart_id |+----+-------+--------+-----+------------+---------+--------------+---------+--------+-----------+| 3 | kevin | male | 81 | 2013-03-05 | teacher | null | 8300.00 | 401 | 1 || 4 | jason | male | 73 | 2014-07-01 | teacher | null | 3500.00 | 401 | 1 || 5 | owen | male | 28 | 2012-11-01 | teacher | null | 2100.00 | 401 | 1 || 6 | jerry | female | 18 | 2011-02-11 | teacher | null | 9000.00 | 401 | 1 |+----+-------+--------+-----+------------+---------+--------------+---------+--------+-----------+4 rows in set (0.00 sec)# 2.查询薪资是20000或者18000或者17000的数据# or: 或者select * from emp where salary=20000 or salary=18000 or salary=17000;# in: 在什么里select * from emp where salary in (20000, 18000, 17000);mysql> select * from emp where salary = 20000 or salary = 18000 or salary = 17000;+----+-----------+--------+-----+------------+-----------+--------------+----------+--------+-----------+| id | name | sex | age | hire_date | post | post_comment | salary | office | depart_id |+----+-----------+--------+-----+------------+-----------+--------------+----------+--------+-----------+| 15 | 程咬金 | male | 18 | 1997-03-12 | operation | null | 20000.00 | 403 | 3 || 17 | 程咬铜 | male | 18 | 2015-04-11 | operation | null | 18000.00 | 403 | 3 || 18 | 程咬铁 | female | 18 | 2014-05-12 | operation | null | 17000.00 | 403 | 3 |+----+-----------+--------+-----+------------+-----------+--------------+----------+--------+-----------+3 rows in set (0.00 sec)# 也可以使用in(3,4,5,6) select * from emp where id in(3,4,5,6);+----+-------+--------+-----+------------+---------+--------------+---------+--------+-----------+| id | name | sex | age | hire_date | post | post_comment | salary | office | depart_id |+----+-------+--------+-----+------------+---------+--------------+---------+--------+-----------+| 3 | kevin | male | 81 | 2013-03-05 | teacher | null | 8300.00 | 401 | 1 || 4 | jason | male | 73 | 2014-07-01 | teacher | null | 3500.00 | 401 | 1 || 5 | owen | male | 28 | 2012-11-01 | teacher | null | 2100.00 | 401 | 1 || 6 | jerry | female | 18 | 2011-02-11 | teacher | null | 9000.00 | 401 | 1 |+----+-------+--------+-----+------------+---------+--------------+---------+--------+-----------+4 rows in set (0.00 sec)# 3.查询员工姓名中包含o字母 的 员工姓名和薪资# like: 模糊匹配# %: 匹配0个或多个任意字符(若前后都有%(%o%),查所有带有索引字符的记录,若头有%而尾没有(%o),则查所有尾带有索引字符的记录,若尾有%而头没有(o%),则查所有头带有索引字符的记录,若前后都没有%(o),则只会查询只有索引字符的字符)# _: 匹配一个任意字符select name, salary from emp where name like %o%;+-------+------------+| name | salary |+-------+------------+| egon | 1000000.31 || jason | 3500.00 || owen | 2100.00 |+-------+------------+3 rows in set (0.00 sec)mysql> select name, salary from emp where name like o;+------+--------+| name | salary |+------+--------+| o | null |+------+--------+1 row in set (0.00 sec)# 4.查找名字个数为3个的员工 名字 与 薪资select name, salary from emp where name like ___;+-----------+----------+| name | salary |+-----------+----------+| 程咬金 | 20000.00 || 程咬银 | 19000.00 || 程咬铜 | 18000.00 || 程咬铁 | 17000.00 |+-----------+----------+4 rows in set (0.00 sec)# 或者 # char_length(name): 计算名字字符的长度select name, salary from emp where char_length(name) = 4; mysql> select name, salary from emp where char_length(name) = 3;+-----------+----------+| name | salary |+-----------+----------+| 程咬金 | 20000.00 || 程咬银 | 19000.00 || 程咬铜 | 18000.00 || 程咬铁 | 17000.00 |+-----------+----------+4 rows in set (0.00 sec)# 5.查询id小于3或者大于6的数据# not in: 不再什么什么中select * from emp where id not in (3, 4, 5, 6);select * from emp where id not between 3 and 6;# 6.查询薪资不在20000，18000，17000范围的数据select * from emp where salary not in (20000, 18000, 17000); # 7.查询岗位描述为空的 员工名 与 岗位名 post_comment# 用等于号无法判定空字段select name, post from emp where post_comment = null;select * from emp where post_comment = null;empty set (0.00 sec)# 注意: 针对null的值 需要使用 isselect name, post from emp where post_comment is null;select name, post_comment from emp where post_comment is null;+-----------+--------------+| name | post_comment |+-----------+--------------+| tank | null || egon | null || kevin | null || jason | null || owen | null || jerry | null || 大饼 | null || sean | null || 歪歪 | null || 丫丫 | null || 丁丁 | null || 星星 | null || 格格 | null || 张野 | null || 程咬金 | null || 程咬银 | null || 程咬铜 | null || 程咬铁 | null || o | null |+-----------+--------------+19 rows in set (0.00 sec)
2.group by(分组) - 书写顺序: - select - from - where - group by - 执行顺序: - from - where - group by - select# 什么叫分组 # 比如: 一张员工表中有性别字段，可以根据性别分组，一组是男性，一组是女性，或者是根据部门分组，有教学部、销售部等... # 1.根据部门分组 # 非严格模式下可以获取 分组条件post 以外的字段数据select post, salary from emp group by post;# 设置严格模式:show variables like %mode%;# 全局设置: 永久有效set global sql_mode=strict_trans_tables,only_full_group_by;设置sql_mode为only_full_group_by，意味着以后但凡分组，只能取到分组的依据，不应该在去取组里面的单个元素的值，那样的话分组就没有意义了，并且会报错,因为不分组就是对单个元素信息的随意获取mysql> select post, salary from emp group by post;error 1046 (3d000): no database selected # 可以同聚合函数，间接获取其他字段数据 聚合函数: count: 计数 max: 最大值 min: 最小值 avg: 平均值 sum: 求和 group_concat(name): 可以将分组后的 所有名字获取并进行拼接 # 指定以:拼接select post, group_concat(name) from emp group by post;select post, group_concat(name, ':') from emp group by post; 2.获取每个 部门 的最高工资 select post,max(salary) from emp group by post;mysql> select post,max(salary) from emp group by post;+-----------------------------------+-------------+| post | max(salary) |+-----------------------------------+-------------+| null | null || operation | 20000.00 || sale | 4000.33 || teacher | 1000000.31 || 张江第一帅形象代言部门 | 7300.33 |+-----------------------------------+-------------+5 rows in set (0.00 sec)补充: as 别名: 可以给字段 加一个 别名select post as '部门', max(salary) as '薪资'from emp group by post;# 也可以简写,但是不推荐select post '部门', max(salary) '薪资'from emp group by post;mysql> select post as '部门', max(salary) as'薪资' -> from emp group by post;+-----------------------------------+------------+| 部门 | 薪资 |+-----------------------------------+------------+| null | null || operation | 20000.00 || sale | 4000.33 || teacher | 1000000.31 || 张江第一帅形象代言部门 | 7300.33 |+-----------------------------------+------------+5 rows in set (0.00 sec)3.每个部门的最低工资select post, min(salary) from emp group by post;4.每个部门的平均工资select post, avg(salary) from emp group by post;5.每个部门的工资总和select post, sum(salary) from emp group by post;6.每个部门的员工个数# count(): 括号中可以填任意非空值select post, count(salary) from emp group by post;select post, count(post_comment) from emp group by post;查询岗位名以及各岗位内包含的员工个数select post, count(id) from emp group by post;查询公司内男员工和女员工的个数select sex, count(*) from emp group by sex;查询男员工与男员工的平均薪资，女员工与女员工的平均薪资select sex, avg(salary) from emp group by sex;.统计各部门年龄在30岁以上的员工平均工资:# 步骤: 先找到表，再找年龄30岁以上，再根据部门分组，最后求平均薪资;select post, avg(salary) from emp where age > 30 group by post;
总结: 聚合函数，必须跟在group by 后面(执行顺序);
# 聚合函数: 若没有group by 分组，默认将查出来的数据当做一个分组, 也能使用;select max(salary) from emp;
# group_concat(name): 可以将分组后的 所有名字获取并进行拼接 # 默认以, 拼接select post, group_concat(name) from emp group by post; # 指定以:拼接select post, group_concat(name, ':') from emp group by post;# select post, group_concat('name: ', name) from emp group by post;select post, group_coucat(name) from emp group by post;mysql> select post, group_concat(name) from emp group by post;+-----------------------------------+------------------------------------------------+| post | group_concat(name) |+-----------------------------------+------------------------------------------------+| null | o || operation | 程咬铁,程咬铜,程咬银,程咬金,张野 || sale | 格格,星星,丁丁,丫丫,歪歪 || teacher | sean,大饼,jerry,owen,jason,kevin,egon || 张江第一帅形象代言部门 | tank |+-----------------------------------+------------------------------------------------+5 rows in set (0.00 sec)# 给每个部门的员工名字前 + nb_select post, group_concat('nb_', name) from emp group by post;# 拼接部门员工名字+薪资select post, group_concat(name, :, salary) from emp group by post;
补充:concat
# 4.补充concat（不分组时用）拼接字符串达到更好的显示效果 as语法并用select concat('name: ', name) as '名字', concat('sal: ', salary) as '薪资' from emp;mysql> select concat('name: ', name) as '名字',concat('sal: ',salary) as '薪资' from emp;+-----------------+-----------------+| 名字 | 薪资 |+-----------------+-----------------+| name: tank | sal: 7300.33 || name: egon | sal: 1000000.31 || name: kevin | sal: 8300.00 || name: jason | sal: 3500.00 || name: owen | sal: 2100.00 || name: jerry | sal: 9000.00 || name: 大饼 | sal: 30000.00 || name: sean | sal: 10000.00 || name: 歪歪 | sal: 3000.13 || name: 丫丫 | sal: 2000.35 || name: 丁丁 | sal: 1000.37 || name: 星星 | sal: 3000.29 || name: 格格 | sal: 4000.33 || name: 张野 | sal: 10000.13 || name: 程咬金 | sal: 20000.00 || name: 程咬银 | sal: 19000.00 || name: 程咬铜 | sal: 18000.00 || name: 程咬铁 | sal: 17000.00 || name: o | null |+-----------------+-----------------+19 rows in set (0.00 sec)
3.having(过滤)1.having与where语法一样，只不过having必需要在group by后使用;2.where 不能使用聚合函数，但having可以; - 书写顺序: - select - from - where - group by - having - 执行顺序: - from - where - group by - having - select 1、统计各 部门 年龄在30岁以上的员工平均工资，并且保留平均工资大于10000的部门;select post, avg(salary) from emp where age > 30 group by post having avg(salary) > 10000;mysql> select post, avg(salary) from emp where age > 30 group by post having avg(salary) > 10000;+---------+---------------+| post | avg(salary) |+---------+---------------+| teacher | 255450.077500 |+---------+---------------+1 row in set (0.00 sec)
4.distinct(去重)# distinct: 去重- 书写顺序: - select - distinct - from - where - group by - having执行顺序: - from - where - group by - having - select - distinct # 注意: 查询的字段值必须是重复的才有效，只要有一个字段值是不重复的就没有效果。# 若所查字段内有不重复的字段记录就不会去重select distinct id, post from emp;mysql> select distinct id, post from emp;+----+-----------------------------------+| id | post |+----+-----------------------------------+| 1 | 张江第一帅形象代言部门 || 2 | teacher || 3 | teacher || 4 | teacher || 5 | teacher || 6 | teacher || 7 | teacher || 8 | teacher || 9 | sale || 10 | sale || 11 | sale || 12 | sale || 13 | sale || 14 | operation || 15 | operation || 16 | operation || 17 | operation || 18 | operation || 19 | null |+----+-----------------------------------+19 rows in set (0.00 sec)select distinct post from emp;mysql> select distinct post from emp;+-----------------------------------+| post |+-----------------------------------+| 张江第一帅形象代言部门 || teacher || sale || operation || null |+-----------------------------------+5 rows in set (0.00 sec)
5.order by(排序)- 书写顺序: - select - from - where - group by - having - order by执行顺序: - from - where - group by - having - select - order by # 通过select 查出来的数据再进行排序 # order by 默认升序# asc升序# desc降序# 1、根据薪资进行升序select name, salary from emp order by salary; # 默认升序mysql> select name, salary from emp order by salary;+-----------+------------+| name | salary |+-----------+------------+| o | null || 丁丁 | 1000.37 || 丫丫 | 2000.35 || owen | 2100.00 || 歪歪 | 3000.13 || 星星 | 3000.29 || jason | 3500.00 || 格格 | 4000.33 || tank | 7300.33 || kevin | 8300.00 || jerry | 9000.00 || sean | 10000.00 || 张野 | 10000.13 || 程咬铁 | 17000.00 || 程咬铜 | 18000.00 || 程咬银 | 19000.00 || 程咬金 | 20000.00 || 大饼 | 30000.00 || egon | 1000000.31 |+-----------+------------+19 rows in set (0.00 sec)2.select * from emp order by salary asc; # 指定升序3.select name, salary from emp order by salary desc; # 指定降序 mysql> select name, salary from emp order by salary desc;+-----------+------------+| name | salary |+-----------+------------+| egon | 1000000.31 || 大饼 | 30000.00 || 程咬金 | 20000.00 || 程咬银 | 19000.00 || 程咬铜 | 18000.00 || 程咬铁 | 17000.00 || 张野 | 10000.13 || sean | 10000.00 || jerry | 9000.00 || kevin | 8300.00 || tank | 7300.33 || 格格 | 4000.33 || jason | 3500.00 || 星星 | 3000.29 || 歪歪 | 3000.13 || owen | 2100.00 || 丫丫 | 2000.35 || 丁丁 | 1000.37 || o | null |+-----------+------------+19 rows in set (0.00 sec)# 先按照age升序，再按照salary降序select age, salary from emp order by age asc, salary desc;# 统计 各部门(分组) 年龄在10岁以上的员工平均工资，并且保留平均工资大于1000的部门，然后对平均工资进行升序序select post, avg(salary) from emp where age > 10 group by post having avg(salary) > 1000 order by avg(salary);
9.limit(限制查询记录的数量) 书写顺序: - select - from - order by - limit 执行顺序: - from - select - order by - limit # 1、从第一条开始，获取4条记录;select * from emp limit 4;mysql> select * from emp limit 4;+----+-------+------+-----+------------+-----------------------------------+--------------+------------+--------+-----------+| id | name | sex | age | hire_date | post | post_comment | salary | office | depart_id |+----+-------+------+-----+------------+-----------------------------------+--------------+------------+--------+-----------+| 1 | tank | male | 17 | 2017-03-01 | 张江第一帅形象代言部门 | null | 7300.33 | 401 | 1 || 2 | egon | male | 78 | 2015-03-02 | teacher | null | 1000000.31 | 401 | 1 || 3 | kevin | male | 81 | 2013-03-05 | teacher | null | 8300.00 | 401 | 1 || 4 | jason | male | 73 | 2014-07-01 | teacher | null | 3500.00 | 401 | 1 |+----+-------+------+-----+------------+-----------------------------------+--------------+------------+--------+-----------+4 rows in set (0.00 sec)# 2、limit可以有两个参数, 参数1:是限制的开始位置, 参数2:是从开始位置展示的条数;select * from emp limit 0, 4;select * from emp limit 4, 4;mysql> select * from emp limit 4, 4;+----+--------+--------+-----+------------+---------+--------------+----------+--------+-----------+| id | name | sex | age | hire_date | post | post_comment | salary | office | depart_id |+----+--------+--------+-----+------------+---------+--------------+----------+--------+-----------+| 5 | owen | male | 28 | 2012-11-01 | teacher | null | 2100.00 | 401 | 1 || 6 | jerry | female | 18 | 2011-02-11 | teacher | null | 9000.00 | 401 | 1 || 7 | 大饼 | male | 18 | 1900-03-01 | teacher | null | 30000.00 | 401 | 1 || 8 | sean | male | 48 | 2010-11-11 | teacher | null | 10000.00 | 401 | 1 |+----+--------+--------+-----+------------+---------+--------------+----------+--------+-----------+4 rows in set (0.00 sec)# 3、查询工资最高的人的详细信息select * from emp order by salary limit 1;mysql> select * from emp order by salary limit 1;+----+------+------+-----+------------+------+--------------+--------+--------+-----------+| id | name | sex | age | hire_date | post | post_comment | salary | office | depart_id |+----+------+------+-----+------------+------+--------------+--------+--------+-----------+| 19 | o | male | 28 | 0000-00-00 | null | null | null | null | null |+----+------+------+-----+------------+------+--------------+--------+--------+-----------+1 row in set (0.00 sec)
10.正则# 在编程中，凡是看到reg开头的，基本上都是跟正则有关 # *: 代表 0 或 多个select * from emp where name regexp '^程.*(金|银|铜|铁)$';mysql> select * from emp where name regexp '^程.*(金|银|铜|铁)$';+----+-----------+--------+-----+------------+-----------+--------------+----------+--------+-----------+| id | name | sex | age | hire_date | post | post_comment | salary | office | depart_id |+----+-----------+--------+-----+------------+-----------+--------------+----------+--------+-----------+| 15 | 程咬金 | male | 18 | 1997-03-12 | operation | null | 20000.00 | 403 | 3 || 16 | 程咬银 | female | 18 | 2013-03-11 | operation | null | 19000.00 | 403 | 3 || 17 | 程咬铜 | male | 18 | 2015-04-11 | operation | null | 18000.00 | 403 | 3 || 18 | 程咬铁 | female | 18 | 2014-05-12 | operation | null | 17000.00 | 403 | 3 |+----+-----------+--------+-----+------------+-----------+--------------+----------+--------+-----------+4 rows in set (0.00 sec)
三.多表查询多表查询
-关联查询
-子查询
创建表与插入数据准备
#建表create table dep2(id int,name varchar(20) );create table emp2(id int primary key auto_increment,name varchar(20),sex enum('male','female') not null default 'male',age int,dep_id int);#插入数据insert into dep2 values(200,'技术'),(201,'人力资源'),(202,'销售'),(203,'运营');insert into emp2(name,sex,age,dep_id) values('tank','male',17,200),('egon','female',48,201),('kevin','male',38,201),('jason','female',28,202),('owen','male',18,200),('sean','female',18,204);mysql> select * from dep2;+------+--------------+| id | name |+------+--------------+| 200 | 技术 || 201 | 人力资源 || 202 | 销售 || 203 | 运营 |+------+--------------+4 rows in set (0.00 sec)mysql> select * from emp2;+----+-------+--------+------+--------+| id | name | sex | age | dep_id |+----+-------+--------+------+--------+| 1 | tank | male | 17 | 200 || 2 | egon | female | 48 | 201 || 3 | kevin | male | 38 | 201 || 4 | jason | female | 28 | 202 || 5 | owen | male | 18 | 200 || 6 | sean | female | 18 | 204 |+----+-------+--------+------+--------+# 指到了如何根据表关系对字段进行拆分，目的是为了更好的管理，表数据都存放在硬盘中，存不是目的，目的是为了取，所以我们将数据从硬盘读到内存中，接下来我们因应该将他们拼成一张表来查询更加合理;# 注意: 将拆分的表，再拼接到一起进行查询, 可以通过一张表查另一张表的数据;
1.关联查询# 左表的一条记录与右表的一条记录都对应一遍称之为 --> 笛卡尔积 ps: 百度科普# 将所有的数据都对应了一遍，虽然不合理但是其中有合理的数据，现在我们需要做的就是找出合理的数据
举例:通过之前准备的数据进行多表操作 1、查询 员工 以及所在 部门 的信息;# 通过where 约束条件select * from emp2, dep2 where emp2.dep_id = dep2.id;2、查询 部门 为 技术部 的 员工 及 部门信息select * from emp2, dep2 where emp2.dep_id = dep2.id and dep2.name = '技术';
联表查询: -内链接:只去两张表有对应关系的记录select * from emp2 inner join dep2 on emp2.dep_id = dep2.id;mysql> select * from emp2 inner join dep2 on emp2.dep_id = dep2.id;+----+-------+--------+------+--------+------+--------------+| id | name | sex | age | dep_id | id | name |+----+-------+--------+------+--------+------+--------------+| 1 | tank | male | 17 | 200 | 200 | 技术 || 2 | egon | female | 48 | 201 | 201 | 人力资源 || 3 | kevin | male | 38 | 201 | 201 | 人力资源 || 4 | jason | female | 28 | 202 | 202 | 销售 || 5 | owen | male | 18 | 200 | 200 | 技术 |+----+-------+--------+------+--------+------+--------------+5 rows in set (0.05 sec)2、left join# 2、左连接: 在内连接的基础上保留左表没有对应关系的记录(以null补全)select * from emp2 left join dep2 on emp2.dep_id = dep2.id;mysql> select * from emp2 left join dep2 on emp2.dep_id = dep2.id;+----+-------+--------+------+--------+------+--------------+| id | name | sex | age | dep_id | id | name |+----+-------+--------+------+--------+------+--------------+| 1 | tank | male | 17 | 200 | 200 | 技术 || 5 | owen | male | 18 | 200 | 200 | 技术 || 2 | egon | female | 48 | 201 | 201 | 人力资源 || 3 | kevin | male | 38 | 201 | 201 | 人力资源 || 4 | jason | female | 28 | 202 | 202 | 销售 || 6 | sean | female | 18 | 204 | null | null |+----+-------+--------+------+--------+------+--------------+ # 3、右连接: 在内连接的基础上保留右表没有对应关系的记录select * from emp2 right join dep2 on emp2.dep_id = dep2.id;mysql> select * from emp2 right join dep2 on emp2.dep_id = dep2.id;+------+-------+--------+------+--------+------+--------------+| id | name | sex | age | dep_id | id | name |+------+-------+--------+------+--------+------+--------------+| 1 | tank | male | 17 | 200 | 200 | 技术 || 2 | egon | female | 48 | 201 | 201 | 人力资源 || 3 | kevin | male | 38 | 201 | 201 | 人力资源 || 4 | jason | female | 28 | 202 | 202 | 销售 || 5 | owen | male | 18 | 200 | 200 | 技术 || null | null | null | null | null | 203 | 运营 |+------+-------+--------+------+--------+------+--------------+6 rows in set (0.00 sec)- 全连接: union# 4、全连接: 在内连接的基础上 保留左、右表没有对应关系的记录select * from emp2 left join dep2 on emp2.dep_id = dep2.id union select * from emp2 right join dep2 on emp2.dep_id = dep2.id;
2.子查询# 子查询就是将一个查询语句的结果用括号括起来，当做另一个查询语句的条件去用# 查询部门是技术或者人力资源的员工信息'''先获取技术部和人力资源的id号，再去员工表里根据前面的id筛选出符合要求的员工信息;'''select * from emp2 where dep_id in (select id from dep2 where name='技术' or name='人力资源'); # 2.每个部门最新入职的员工 思路：先查每个部门最新入职的员工，再按部门对应上联表查询 # 查第一张emp表# 第四步select t1.id, t1.name, t1.hire_date, t2.*from# 第二步# 拼接了 t1（emp） 与 t2（各部门最新入职的员工数据虚拟表）表的数据emp as t1inner join# 第一步# 子查询获取emp表中的 部门名称与最新入职的时间字段值 生成一张虚拟表(select post, max(hire_date) as max_date from emp group by post) as t2on# 若 t1.post 的值与 t2.post 条件成立，则拼接对应的记录;t1.post = t2.post# 第三步where t1.hire_date = t2.max_date;
以上就是掌握mysql之查询语句的基本操作的详细内容。