• 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','20180202','instructor','teach',5000,501,100),
        ('tom','male','20180203','instructor','teach',5500,501,100),
        ('robin','male','20180202','instructor','teach',8000,501,100),
        ('alice','female','20180202','instructor','teach',7200,501,100),
        ('tianyun','male','20180202','hr','hrcc',600,502,101),
        ('harry','male','20180202','hr',NULL,6000,502,101),
        ('emma','female','20180206','sale','salecc',20000,503,102),
        ('christine','female','20180205','sale','salecc',2200,503,102),
        ('zhuzhu','male','20180205','sale',NULL,2200,503,102),
        ('gougou','male','20180205','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}.*';
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  • 原文地址:https://www.cnblogs.com/yanjieli/p/9798672.html
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