标签：sql 通配 字符串匹配 iad 连接字符串 count des 建表 模糊查询
单表查询测试表：company库.employee员工5
雇员编号 id int
雇员姓名 name varchar(30)
雇员性别 sex enum
雇用时期 hire_date date
职位 post varchar(50)
职位描述 job_description varchar(100)
薪水 salary double(15,2)
办公室 office int
部门编号 dep_id int
用edit---->复制粘贴保存
;
操作如下：
1.mysql<edit 回车
2.把下面的命令复制粘贴
3.保存退出然后iu打分号； 回车
4.再相同操作粘贴复制下面（插入记录的那些命令）
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
);
插入记录
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);
======================================
开始：
mysql> select 字段名称,字段名称2 from 表名 条件
简单查询：
mysql> select * from t3;
mysql> select name , salary薪水, dep_id from employee5;
mysql> select name as mingzi, salary薪水 as moeny , dep_id from employee5;
mysql> select name as mingzi, salary+dep_id as mun from employee5;
as可以不写
避免重复DISTINCT
SELECT post FROM employee5;
SELECT DISTINCT post FROM employee5; ---去重
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
shell中调用mysql：第一种方法：mysql -e "select 32747*43868" | tail -1
第二种方法:
mysql <<eof
eof
运算：
mysql>select math*china-50 from t1;
mysql>select 437.4384/5
mysql>select 5>3; （true为1）
SELECT name, salary, salary*14 FROM employee5;
SELECT name, salary, salary*14 AS Annual_salary FROM employee5;
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（连接在一起）
SELECT CONCAT(name, ‘ annual salary: ‘, salary*14) AS Annual_salary FROM employee5;
单条件查询
mysql> select pass from t3 where name="wing";
where not name= "wing" 除了wing的
多条件查询
mysql>select math from db1.t1 where math>50 and math<600；and也可以是&&
mysql>select math from db1.t1 where not math>50;
关键字BETWEEN AND
SELECT name,salary FROM employee5
WHERE salary BETWEEN 5000 AND 15000;
SELECT name,salary FROM employee5
WHERE salary NOT BETWEEN 5000 AND 15000;
关键字IS NULL
SELECT name,job_description FROM employee5
WHERE job_description IS NULL;
SELECT name,job_description FROM employee5
WHERE job_description IS NOT NULL;
SELECT name,job_description FROM employee5
WHERE job_description=‘‘;
NULL说明：
1、等价于没有任何值、是未知数。
2、NULL与0、空字符串、空格都不同,NULL没有分配存储空间。
3、对空值做加、减、乘、除等运算操作，结果仍为空。
4、比较时使用关键字用“is null”和“is not null”。
5、排序时比其他数据都小（索引默认是降序排列，小→大），所以NULL值总是排在最前。
关键字IN集合查询
SELECT name, salary FROM employee5
WHERE salary=4000 OR salary=5000 OR salary=6000 OR salary=9000 ;
SELECT name, salary FROM employee5
WHERE salary IN (4000,5000,6000,9000) ;
SELECT name, salary FROM employee
WHERE salary NOT IN (4000,5000,6000,9000) ;排序查询
mysql> select china from t1 order by china;
mysql> select china from t1 order by china desc; 降序
mysql> select china from t1 order by china desc limit 3; 降序前三名
mysql> select china from t1 order by china desc limit 1,3;从第2行开始取三个
注：
ascending 美音 /?‘s?nd??/ 升序（默认)
descending 美音 /d?‘s?nd??/ 降序
按多列排序:
入职时间相同的人薪水不同
SELECT * FROM employee5
ORDER BY hire_date DESC,
salary ASC;
先按入职时间，再按薪水排序
先按职位，再按薪水排序
限制查询的记录数
SELECT * FROM employee5 ORDER BY salary DESC
LIMIT 5; //默认初始位置为0
SELECT * FROM employee5 ORDER BY salary DESC
LIMIT 0,5;
SELECT * FROM employee5 ORDER BY salary DESC
LIMIT 3,5; //从第4条开始，共显示5条开始：
分组查询
mysql> select count(gender),gender from t3 group by gender;
统计男女各多少人
GROUP BY和GROUP_CONCAT()函数一起使用（把不同组的记录放到一行）
SELECT dep_id,GROUP_CONCAT(name) FROM employee5 GROUP BY dep_id;
SELECT dep_id,GROUP_CONCAT(name) as emp_members FROM employee5 GROUP BY dep_id;
GROUP BY和集合函数SUM（salary）一起使用 -------计算每个部门总共多少钱模糊查询(通配符)
_ 任意单个字符
% 所有字符
mysql> select * from t1 where china=‘1__‘;
mysql> select * from t1 where china like ‘%0%‘;正则查询
mysql> select from t1 where china regexp ‘10+‘;
SELECT FROM employee5 WHERE name REGEXP ‘^ali‘;
SELECT FROM employee5 WHERE name REGEXP ‘yun$‘;
SELECT FROM employee5 WHERE name REGEXP ‘m{2}‘;
子查询
mysql> select name from t2 where math=(select max(math) from t2);
函数
count()
max()
min()
avg()
database()
user()
now()
sum()
password()
md5()
sha1()
power()
SELECT COUNT(*) FROM employee5;
SELECT COUNT(*) FROM employee5 WHERE dep_id=101;
SELECT MAX(salary) FROM employee5;
SELECT MIN(salary) FROM employee5;
SELECT AVG(salary) FROM employee5;
SELECT SUM(salary) FROM employee5;
SELECT SUM(salary) FROM employee5 WHERE dep_id=101;
MariaDB [company]> select password(5);
+-------------------------------------------+
| password(5) |
+-------------------------------------------+
| *7534F9EAEE5B69A586D1E9C1ACE3E3F9F6FCC446 |
+-------------------------------------------+
MariaDB [company]> select md5(5);
+----------------------------------+
| md5(5) |
+----------------------------------+
| e4da3b7fbbce2345d7772b0674a318d5 |
+----------------------------------+
1 row in set (0.00 sec)
MariaDB [company]> select sha1(5);
+------------------------------------------+
| sha1(5) |
+------------------------------------------+
| ac3478d69a3c81fa62e60f5c3696165a4e5e6ac4 |
+------------------------------------------+
1 row in set (0.00 sec)
POWER() function
MySQL POWER() returns the value of a number raised to the power of another number. The synonym of POWER() is POW().
mysql> SELECT POWER(3, 2);
+-------------+
| POWER(3, 2) |
+-------------+
| 9 |
+-------------+
1 row in set (0.00 sec)小结：对字符串匹配的方式
WHERE name = ‘tom‘;
WHERE name LIKE ‘to%‘;
WHERE name REGEXP ‘yun$‘;
标签：sql 通配 字符串匹配 iad 连接字符串 count des 建表 模糊查询
原文地址：http://blog.51cto.com/13939728/2164515
