MySQL单表查询
MySQL之单表查询
创建表
# 创建表
mysql> create table company.employee5(
id int primary key AUTO_INCREMENT not null,
name varchar(30) not null,
sex enum('male','female') default 'male' not null,
hire_date date not null,
post varchar(50) not null,
job_description varchar(100),
salary double(15,2) not null,
office int,
dep_id int
); # 插入数据
mysql> insert into company.employee5(name,sex,hire_date,post,job_description,salary,office,dep_id) values
('jack','male','','instructor','teach',5000,501,100),
('tom','male','','instructor','teach',5500,501,100),
('robin','male','','instructor','teach',8000,501,100),
('alice','female','','instructor','teach',7200,501,100),
('tianyun','male','','hr','hrcc',600,502,101),
('harry','male','','hr',NULL,6000,502,101),
('emma','female','','sale','salecc',20000,503,102),
('christine','female','','sale','salecc',2200,503,102),
('zhuzhu','male','','sale',NULL,2200,503,102),
('gougou','male','','sale','',2200,503,102); # 查看表结构
mysql> desc employee5;
+-----------------+-----------------------+------+-----+---------+----------------+
| Field | Type | Null | Key | Default | Extra |
+-----------------+-----------------------+------+-----+---------+----------------+
| id | int(11) | NO | PRI | NULL | auto_increment |
| name | varchar(30) | NO | | NULL | |
| sex | enum('male','female') | NO | | male | |
| hire_date | date | NO | | NULL | |
| post | varchar(50) | NO | | NULL | |
| job_description | varchar(100) | YES | | NULL | |
| salary | double(15,2) | NO | | NULL | |
| office | int(11) | YES | | NULL | |
| dep_id | int(11) | YES | | NULL | |
+-----------------+-----------------------+------+-----+---------+----------------+
查询语法
SELECT 字段1,字段2... FROM 表名
WHERE 条件
GROUP BY field
HAVING 筛选
ORDER BY field
LIMIT 限制条数;
查看表中所有数据
mysql> select * from employee5;
+----+-----------+--------+------------+------------+-----------------+----------+--------+--------+
| id | name | sex | hire_date | post | job_description | salary | office | dep_id |
+----+-----------+--------+------------+------------+-----------------+----------+--------+--------+
| 1 | jack | male | 2018-02-02 | instructor | teach | 5000.00 | 501 | 100 |
| 2 | tom | male | 2018-02-03 | instructor | teach | 5500.00 | 501 | 100 |
| 3 | robin | male | 2018-02-02 | instructor | teach | 8000.00 | 501 | 100 |
| 4 | alice | female | 2018-02-02 | instructor | teach | 7200.00 | 501 | 100 |
| 5 | tianyun | male | 2018-02-02 | hr | hrcc | 600.00 | 502 | 101 |
| 6 | harry | male | 2018-02-02 | hr | NULL | 6000.00 | 502 | 101 |
| 7 | emma | female | 2018-02-06 | sale | salecc | 20000.00 | 503 | 102 |
| 8 | christine | female | 2018-02-05 | sale | salecc | 2200.00 | 503 | 102 |
| 9 | zhuzhu | male | 2018-02-05 | sale | NULL | 2200.00 | 503 | 102 |
| 10 | gougou | male | 2018-02-05 | sale | | 2200.00 | 503 | 102 |
+----+-----------+--------+------------+------------+-----------------+----------+--------+--------+
10 rows in set (0.00 sec)
简单查询
简单查询
mysql> SELECT * FROM employee5; mysql> SELECT name, salary, dep_id FROM employee5;
去重DISTINCT
mysql> SELECT post FROM employee5; mysql> SELECT DISTINCT post FROM employee5; 注:不能部分使用DISTINCT,通常仅用于某一字段。
通过四则运算查询
mysql> SELECT name, salary, salary*14 FROM employee5; mysql> SELECT name, salary, salary*14 AS Annual_salary FROM employee5; mysql> SELECT name, salary, salary*14 Annual_salary FROM employee5;
定义显示格式
CONCAT() 函数用于连接字符串 mysql> SELECT CONCAT(name, ' annual salary: ', salary*14) AS Annual_salary FROM employee5;
条件查询
a、语法
select * from 表名 where 条件
b、比较运算符
大于 小于 大于等于 小于等于 不等于
> < >= <= !=或<> c、逻辑运算符
并且 或者 非
and or not d、模糊查询
like
% 表示任意多个任意字符
_ 表示一个任意字符 e、范围查询
in 表示在一个非连续的范围内
between...and... 表示在一个连续的范围内 f、空判断
判断空:is null
判断非空:is not null g、优先级
小括号,not 比较运算符, 逻辑运算符
and比or优先级高,如果同时出现并希望先选or,需要结合()来使用
单条件查询
mysql> SELECT name,post FROM employee5 WHERE post='hr';
多条件查询
mysql> SELECT name,salary FROM employee5 WHERE post='hr' AND salary>5000;
关键字 BETWEEN AND查询
mysql> SELECT name,salary FROM employee5 WHERE salary BETWEEN 5000 AND 15000; mysql> SELECT name,salary FROM employee5 WHERE salary NOT BETWEEN 5000 AND 15000;
关键字 IS NULL 查询
mysql> SELECT name,job_description FROM employee5 WHERE job_description IS NULL; mysql> SELECT name,job_description FROM employee5 WHERE job_description IS NOT NULL; mysql> SELECT name,job_description FROM employee5 WHERE job_description='';
关键字IN集合查询
mysql> SELECT name, salary FROM employee5 WHERE salary=4000 OR salary=5000 OR salary=6000 OR salary=9000 ; mysql> SELECT name, salary FROM employee5 WHERE salary IN (4000,5000,6000,9000) ; mysql> SELECT name, salary FROM employee5 WHERE salary NOT IN (4000,5000,6000,9000) ;
关键字LIKE模糊查询
通配符’%’
mysql> SELECT * FROM employee5 WHERE name LIKE 'al%'; 通配符’_’
mysql> SELECT * FROM employee5 WHERE name LIKE 'al___';
查询排序
按单列排序
mysql> SELECT * FROM employee5 ORDER BY salary; mysql> SELECT name, salary FROM employee5 ORDER BY salary ASC; mysql> SELECT name, salary FROM employee5 ORDER BY salary DESC;
按多列排序
mysql> SELECT * FROM employee5 ORDER BY hire_date DESC,salary ASC; # 先按入职时间,再按薪水排序
mysql> SELECT * FROM employee5 ORDER BY hire_date DESC, salary DESC; # 先按职位,再按薪水排序
mysql> SELECT * FROM employee5 ORDER BY post, salary DESC;
分页查询 limit
mysql> SELECT * FROM employee5 ORDER BY salary DESC LIMIT 5; //默认初始位置为0 mysql> SELECT * FROM employee5 ORDER BY salary DESC LIMIT 0,5; mysql> SELECT * FROM employee5 ORDER BY salary DESC LIMIT 3,5; //从第4条开始,共显示5条
聚合函数查询
a、count(*) 表示计算总行数,括号中可以写*和列名
b、max(列) 表示求此列的最大值
c、min(列) 表示求此列的最小值
d、sun(列) 表示求此列的和
e、avg(列) 表示求此列的平均值 mysql> SELECT COUNT(*) FROM employee5;
mysql> SELECT COUNT(*) FROM employee5 WHERE dep_id=101;
mysql> SELECT MAX(salary) FROM employee5;
mysql> SELECT MIN(salary) FROM employee5;
mysql> SELECT AVG(salary) FROM employee5;
mysql> SELECT SUM(salary) FROM employee5;
mysql> SELECT SUM(salary) FROM employee5 WHERE dep_id=101;
分组查询
单独使用GROUP BY关键字分组
mysql> SELECT post FROM employee5 GROUP BY post;
注意:我们按照post字段分组,那么select查询的字段只能是post,想要获取组内的其他相关信息,需要借助函数
GROUP BY关键字和group_concat()函数一起使用
# 按照id分组,并查看组内成员
mysql> SELECT dep_id,GROUP_CONCAT(name) FROM employee5 GROUP BY dep_id; mysql> SELECT dep_id,GROUP_CONCAT(name) as emp_members FROM employee5 GROUP BY dep_id;
GROUP BY和集合函数一起使用
# 按照dep_id 分组, 并计算组内成员工资总和
mysql> SELECT dep_id,SUM(salary) FROM employee5 GROUP BY dep_id; # 按照dep_id分组,并计算组内成员工资平均值
mysql> SELECT dep_id,AVG(salary) FROM employee5 GROUP BY dep_id;
正则表达式查询
mysql> SELECT * FROM employee5 WHERE name REGEXP '^j';
mysql> SELECT * FROM employee5 WHERE salary REGEXP '[5]+.*';
mysql> SELECT * FROM employee5 WHERE salary REGEXP '[5]{2}.*';
MySQL单表查询的更多相关文章
- Mysql 单表查询 子查询 关联查询
数据准备: ## 学院表create table department( d_id int primary key auto_increment, d_name varchar(20) not nul ...
- python 3 mysql 单表查询
python 3 mysql 单表查询 1.准备表 company.employee 员工id id int 姓名 emp_name varchar 性别 sex enum 年龄 age int 入职 ...
- Mysql 单表查询-排序-分页-group by初识
Mysql 单表查询-排序-分页-group by初识 对于select 来说, 分组聚合(((group by; aggregation), 排序 (order by** ), 分页查询 (limi ...
- Mysql 单表查询where初识
Mysql 单表查询where初识 准备数据 -- 创建测试库 -- drop database if exists student_db; create database student_db ch ...
- python mysql 单表查询 多表查询
一.外键 变种: 三种关系: 多对一 站在左表的角度: (1)一个员工 能不能在 多个部门? 不成立 (2)多个员工 能不能在 一个部门? 成立 只要有一个条件成立:多 对 一或者是1对多 如果两个条 ...
- mysql 单表查询
一 单表查询的语法 SELECT 字段1,字段2... FROM 表名 WHERE 条件 GROUP BY field HAVING 筛选 ORDER BY field LIMIT 限制条数 二 ...
- SQL学习笔记四(补充-1)之MySQL单表查询
阅读目录 一 单表查询的语法 二 关键字的执行优先级(重点) 三 简单查询 四 WHERE约束 五 分组查询:GROUP BY 六 HAVING过滤 七 查询排序:ORDER BY 八 限制查询的记录 ...
- python开发mysql:单表查询&多表查询
一 单表查询,以下是表内容 一 having 过滤 1.1 having和where select * from emp where id > 15; 解析过程;from > where ...
- 0x06 MySQL 单表查询
一 单表查询语法 SELECT 字段1,字段2... FROM 表名 WHERE 条件 GROUP BY field HAVING 筛选 ORDER BY field LIMIT 限制条数 二 关键字 ...
随机推荐
- js 骂人不带脏字 (!(~+[]) + {})[--[~+""][+[]] * [~+[]] + ~~!+[]] + ({} + [])[[~!+[]] * ~+[]] 图解
看到掘金上翻出一个老梗,前端如何不带脏字得骂产品经理傻逼(sb),复制(!(~+[]) + {})[--[~+""][+[]] * [~+[]] + ~~!+[]] + ({} + ...
- Django 项目中添加静态文件夹
在 mysite 文件夹下添加一个 statics 文件夹用来存放 js 文件 在 index.html 文件中添加 <!DOCTYPE html> <html lang=" ...
- Html5 Canvas介绍
1. 获取绘图上下文 var mycanvas = document.getElementById('mycanvas'); var context = mycanvas.getContext('2d ...
- spring boot整合Hadoop
最近需要用spring boot + mybatis整合hadoop,其中也有碰到一些坑,记录下来方便后面的人少走些弯路. 背景呢是因为需要在 web 中上传文件到 hdfs ,所以需要在spring ...
- 配置用户Log on as service
Logon to the computer with administrative privileges. Open the ‘Administrative Tools’ and open the ‘ ...
- HP LasterJet 3050驱动安装技巧,面向win7,8,8.1,10
最近上咸鱼淘二手打印机,看中了这款打印机,HP官网一查发现还是有新驱动的,比较激动就下单买了,200元自提也不贵,打印效果勉强凑合,打印图片有不太明显的白线,不知是何原因····· 买来插上电脑,自动 ...
- storm ui 网页一直出现提示loading summary
在更换了一次storm的版本之后:访问 http://mini1:8080/index.html 来查看storm的运行情况,但是出现了网页一直出现提示loading summary,但是通过透明的弹 ...
- RecyclerView的Item的单击事件
RecyclerView 的每个Item的点击事件并没有像ListView一样封装在组件中,需要Item的单击事件时就需要自己去实现,在Adapter中为RecyclerView添加单击事件参考如下: ...
- 重大变革即将来临 5G CPE会替代光纤入户吗?
导读 从国内的新闻报道上我们可以看到,从2018年下半年开始各大重要活动.春晚直播等,都宣布已经使用5G网络.既然支持5G网络的终端都还没有正式上市,那么5G网络是如何使用的呢?答案是5G CPE设备 ...
- 我们为什么要使用RabbitMQ?
一.前言 这篇文章就是讲RabbitMQ的好处,你可能要说RocketMQ很好呀,我们主要看上的就是RabbitMQ支持多语言的客户端,很符合我们公司的现状,不要我们花费功夫去搞一个客 ...