DQL分页查询实例
#创建一个表和填入数据
create table emp5
(
id int comment '编号',
workno varchar(10) comment '工号',
name varchar(5) comment '姓名',
gender char(1) comment '性别',
age tinyint unsigned comment '年龄',
idcard char(18) comment '身份证号',
workaddress varchar(50) comment '工作地址',
entrydate date comment '入职时间'
) comment '员工信息表';
insert into emp5(id, workno, name, gender, age, idcard, workaddress, entrydate)
VALUES (1, '1', '嫦娥', '女', 30, '123456789012345678', '北京', '2000-01-01'),
(2, '2', '张飞', '男', 18, '123456789012345670', '北京', '2005-09-01'),
(3, '3', '李坤', '女', 38, '123456789012345670', '上海', '2005-08-01'),
(4, '4', '赵路', '女', 18, '123456789012345670', '北京', '2009-12-01'),
(5, '5', '小果', '女', 16, '123456789012345678', '上海', '2007-07-01'),
(6, '6', '杨过', '男', 28, '12345678901234567X', '北京', '2006-01-01'),
(7, '7', '范为', '男', 40, '123456789012345670', '北京', '2005-05-01'),
(8, '8', '卢子侧', '男', 38, '123456789012345670', '天津', '2015-05-01'),
(9, '9', '李凉凉', '女', 45, '123456789012345678', '北京', '2010-04-01'),
(10, '10', '陈友谅', '男', 53, '123456789012345670', '上海', '2011-01-01'),
(11, '11', '张士诚', '男', 55, '123456789012345670', '江苏', '2015-05-01'),
(12, '12', '常遇春', '男', 32, '123456789012345670', '北京', '2004-02-01'),
(13, '13', '张无几', '男', 108, '123456789012345678', '江苏', '2020-11-01'),
(14, '14', '女作家', '女', 65, '123456789012345670', '西安', '2019-05-01'),
(15, '15', '胡时', '男', 70, null, '西安', '2018-04-01'),
(16, '16', '周熟人', '男', 28, null, '河南', '2022-06-01'),
(17, '17', '王字清', '男', 24, null, '河南', '2022-06-01'),
(18, '18', '凤城表', '男',30, null, '河南', '2022-06-01'),
(19, '19', '卢书杰', '男', 31, null, '河南', '2022-06-01'),
(20, '20', '狗证', '男', 26, null, '河南', '2022-06-01');
#分页查询
#分页查询
##1.查询第一页员工数据,每页展示10条记录
select *from emp5 limit 0,10;#0代表页码,10代表每页的记录
select *from emp5 limit 10;
##2.查询第2页员工数据,每页展示10条记录----->(页码-1)*页码的展示数
select * from emp5 limit 10,10;