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  • 5.6作业

    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
    ('jason','male',18,'20170301','张江第一帅形象代言',7300.33,401,1), #以下是教学部
    ('tom','male',78,'20150302','teacher',1000000.31,401,1),
    ('kevin','male',81,'20130305','teacher',8300,401,1),
    ('tony','male',73,'20140701','teacher',3500,401,1),
    ('owen','male',28,'20121101','teacher',2100,401,1),
    ('jack','female',18,'20110211','teacher',9000,401,1),
    ('jenny','male',18,'19000301','teacher',30000,401,1),
    ('sank','male',48,'20101111','teacher',10000,401,1),
    ('哈哈','female',48,'20150311','sale',3000.13,402,2),#以下是销售部门
    ('呵呵','female',38,'20101101','sale',2000.35,402,2),
    ('西西','female',18,'20110312','sale',1000.37,402,2),
    ('乐乐','female',18,'20160513','sale',3000.29,402,2),
    ('拉拉','female',28,'20170127','sale',4000.33,402,2),
    ('僧龙','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);
    
    
    # 当表字段特别多 展示的时候错乱 可以使用G分行展示
    select * from empG;
    
    # 个别同学的电脑在插入中文的时候还是会出现乱码或者空白的现象 你可以将字符编码统一设置成GBK
    

      

    完成下列分组查询练习题
    	1. 查询岗位名以及岗位包含的所有员工名字
    select post,group_concat(name) from emp group by post; 
    	2. 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;    
    	3. 查询公司内男员工和女员工的个数
    select sex ,count(id) from emp  group by sex;    
    	4. 查询岗位名以及各岗位的平均薪资
    select post,avg(salary)  from emp group by post;   
    	5. 查询岗位名以及各岗位的最高薪资
    select post,max(salary) from emp group by post;   
    	6. 查询岗位名以及各岗位的最低薪资
    select post min(salary) from emp group by post;    
    	7. 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;  
    

      

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  • 原文地址:https://www.cnblogs.com/Tornadoes-Destroy-Parking-Lots/p/12838777.html
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