(1). 写出sql语句,查询所有年龄大于20岁的员工(2分)
(2). 写出sql语句,查询所有年龄小于25岁的女性员工(3分)
(3). 写出sql语句,统计男女员工各有多少名(3分)
(4). 写出sql语句,按照年龄倒序获取员工信息(3分)
(5). 写出sql语句,获取员工中哪个姓名具有重名现象(3分)
(6). 写出sql语句,查询所有姓张的员工(3分)
(7). 写出sql语句,查询住址为北京的前3条记录(3分)
(8). 写出sql语句,查询员工总数(3分)
(9). 写出sql语句,向表中插入一条记录(2分)
(10).写出sql语句,修改员工张四的住址为南京(2分)
(11).写出sql语句,删除年龄大于24岁的女员工(2分)
cmd/Java连接数据库是在这个步骤之后才能连接成功的,所以我们到这步之后才算是进入了MYSQL数据库
基本操作:
cd :change directory的缩写。数据库里面有很多表show databases;show tables;desc employee; drop database hzyc98;drop table employee;create table employee (Name char(30) not null,Sex char(8),Age int, Address char(30));【约束条件】 创建表:约束(默认值、非空、独一无二) PRI:主键primary(一个表只有一个主键,主键是赋给表头的某个列(Field)的)primary keynot nulluniquedefault
insert into employee (Name,Sex,Age , Address ) value('张三', '女',19,'北京' );insert into employee (Name,Sex,Age , Address ) value('李四', '男',20,'上海' );insert into employee (Name,Sex,Age , Address ) value('王五', '女',25,'广州' );insert into employee (Name,Sex,Age , Address ) value('王五', '男',22,'北京' );insert into employee (Name,Sex,Age , Address ) value('薛六', '女',20,'北京' );insert into employee (Name,Sex,Age , Address ) value('赵七', '男',28,'上海' );insert into employee (Name,Sex,Age , Address ) value('张四', '女',23,'北京' );
注意这里有个update不能加from,易错
(1). 写出sql语句,查询所有年龄大于20岁的员工(2分)Select * from employee where age >20;(2). 写出sql语句,查询所有年龄小于25岁的女性员工(3分)Select * from employee where age <25 and sex = ‘女’;(3). 写出sql语句,统计男女员工各有多少名(3分)Select sex,count(*) from employee group by sex;(4). 写出sql语句,按照年龄倒序获取员工信息(3分)Select * from employee order by age desc;(5). 写出sql语句,获取员工中哪个姓名具有重名现象(3分)Select name from employee group by name count(name)>1;(6). 写出sql语句,查询所有姓张的员工(3分)//模糊查询likeSelect * from employee where name like ‘张%’;(7). 写出sql语句,查询住址为北京的前3条记录(3分)select * from employee where address = '北京'order by address asc limit 0,3;(8). 写出sql语句,查询员工总数(3分)Select count(name) from employee; (9). 写出sql语句,向表中插入一条记录(2分)Insert into employee (Name ,Sex , Age , Address) value ('张四', '女',23,'北京');(10).写出sql语句,修改员工张四的住址为南京(2分)Update employee set address = ‘南京’ where name = ‘张四’;(11).写出sql语句,删除年龄大于24岁的女员工(2分)Delete from employee where age > 24 and sex = ‘女’;