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mysql ddl 在线转换成 mssql mysql ddl语句

一.SQL语句

1.DDL数据定义语言

2.DCL数据控制语言

3.DML数据操作语言

4.DQL数据查询语言

#DDL和DCL在上一章讲了

二.DML数据操作语言(insert,delete,update)

1.insert命令

#1)先查看表结构

mysql> desc student;
+----------+---------------------+------+-----+-------------------+----------------+
| Field | Type | Null | Key | Default | Extra |
+----------+---------------------+------+-----+-------------------+----------------+
| id | int(11) | NO | PRI | NULL | auto_increment |
| name | varchar(12) | NO | | NULL | |
| age | tinyint(3) unsigned | NO | | NULL | |
| gender | enum('男','女') | YES | | 男 | |
| cometime | datetime | YES | | CURRENT_TIMESTAMP | |
+----------+---------------------+------+-----+-------------------+----------------+
5 rows in set (0.00 sec)

#2)插入数据(不规范的)

mysql> insert into student values(4,'张三',28,'男',now());
Query OK, 1 row affected (0.00 sec)
mysql> select * from student;
+----+--------+-----+--------+---------------------+
| id | name | age | gender | cometime |
+----+--------+-----+--------+---------------------+
| 1 | 张三 | 28 | 男 | 2020-07-14 19:58:36 |
| 2 | 李四 | 39 | 男 | 2020-07-14 19:58:43 |
| 3 | 王五 | 30 | 女 | 2019-03-14 12:43:20 |
| 4 | 张三 | 28 | 男 | 2020-07-15 15:22:47 |
+----+--------+-----+--------+---------------------+
4 rows in set (0.00 sec)

#3)插入数据(规范的)

##插入指定列数据
mysql> insert student(name,age,cometime) values('狗蛋',46,'2017-12-06');
Query OK, 1 row affected (0.00 sec)
mysql> select * from student;
+----+--------+-----+--------+---------------------+
| id | name | age | gender | cometime |
+----+--------+-----+--------+---------------------+
| 1 | 张三 | 28 | 男 | 2020-07-14 19:58:36 |
| 2 | 李四 | 39 | 男 | 2020-07-14 19:58:43 |
| 3 | 王五 | 30 | 女 | 2019-03-14 12:43:20 |
| 4 | 张三 | 28 | 男 | 2020-07-15 15:22:47 |
| 5 | 狗蛋 | 46 | 男 | 2017-12-06 00:00:00 |
+----+--------+-----+--------+---------------------+
5 rows in set (0.00 sec)

#4)插入多行数据

mysql> insert student(name,age,cometime) values('钢蛋',77,'2017-12-06'),('笨蛋',66,'2017-12-06');
Query OK, 2 rows affected (0.00 sec)
Records: 2 Duplicates: 0 Warnings: 0
mysql> select * from student;
+----+--------+-----+--------+---------------------+
| id | name | age | gender | cometime |
+----+--------+-----+--------+---------------------+
| 1 | 张三 | 28 | 男 | 2020-07-14 19:58:36 |
| 2 | 李四 | 39 | 男 | 2020-07-14 19:58:43 |
| 3 | 王五 | 30 | 女 | 2019-03-14 12:43:20 |
| 4 | 张三 | 28 | 男 | 2020-07-15 15:22:47 |
| 5 | 狗蛋 | 46 | 男 | 2017-12-06 00:00:00 |
| 6 | 钢蛋 | 77 | 男 | 2017-12-06 00:00:00 |
| 7 | 笨蛋 | 66 | 男 | 2017-12-06 00:00:00 |
+----+--------+-----+--------+---------------------+
7 rows in set (0.00 sec)

2.update命令

#1)先查看数据

mysql> select * from student;
+----+--------+-----+--------+---------------------+
| id | name | age | gender | cometime |
+----+--------+-----+--------+---------------------+
| 1 | 张三 | 28 | 男 | 2020-07-14 19:58:36 |
| 2 | 李四 | 39 | 男 | 2020-07-14 19:58:43 |
| 3 | 王五 | 30 | 女 | 2019-03-14 12:43:20 |
| 4 | 张三 | 28 | 男 | 2020-07-15 15:22:47 |
| 5 | 狗蛋 | 46 | 男 | 2017-12-06 00:00:00 |
| 6 | 钢蛋 | 77 | 男 | 2017-12-06 00:00:00 |
| 7 | 笨蛋 | 66 | 男 | 2017-12-06 00:00:00 |
+----+--------+-----+--------+---------------------+
7 rows in set (0.00 sec)

#2)修改数据

##使用update语句必须要加where条件
##如果数据库有主键,一定使用主键
#修改整个表中dender是'男'的数据
mysql> update student set name='赵六' where gender='男';
#修改指定的一条数据(加上条件后)
mysql> update student set name='赵六' where id=4;
Query OK, 1 row affected (0.01 sec)
Rows matched: 1 Changed: 1 Warnings: 0
mysql> select * from student;
+----+--------+-----+--------+---------------------+
| id | name | age | gender | cometime |
+----+--------+-----+--------+---------------------+
| 1 | 张三 | 28 | 男 | 2020-07-14 19:58:36 |
| 2 | 李四 | 39 | 男 | 2020-07-14 19:58:43 |
| 3 | 王五 | 30 | 女 | 2019-03-14 12:43:20 |
| 4 | 赵六 | 28 | 男 | 2020-07-15 15:22:47 |
| 5 | 狗蛋 | 46 | 男 | 2017-12-06 00:00:00 |
| 6 | 钢蛋 | 77 | 男 | 2017-12-06 00:00:00 |
| 7 | 笨蛋 | 66 | 男 | 2017-12-06 00:00:00 |
+----+--------+-----+--------+---------------------+
7 rows in set (0.00 sec)

3.delete命令

#1)删除数据

#1.先查看数据,确认要删除的数据
#2.使用delete语句也一定要加where条件
mysql> delete from student where id=5;
Query OK, 1 row affected (0.00 sec)
mysql> select * from student;
+----+--------+-----+--------+---------------------+
| id | name | age | gender | cometime |
+----+--------+-----+--------+---------------------+
| 1 | 张三 | 28 | 男 | 2020-07-14 19:58:36 |
| 2 | 李四 | 39 | 男 | 2020-07-14 19:58:43 |
| 3 | 王五 | 30 | 女 | 2019-03-14 12:43:20 |
| 4 | 赵六 | 28 | 男 | 2020-07-15 15:22:47 |
| 6 | 钢蛋 | 77 | 男 | 2017-12-06 00:00:00 |
| 7 | 笨蛋 | 66 | 男 | 2017-12-06 00:00:00 |
+----+--------+-----+--------+---------------------+
6 rows in set (0.00 sec)

4.使用update代替delete

#1)添加状态字段

mysql> alter table student add status enum('1','0') default 1;
Query OK, 0 rows affected (0.14 sec)
Records: 0 Duplicates: 0 Warnings: 0
mysql> select * from student;
+----+--------+-----+--------+---------------------+--------+
| id | name | age | gender | cometime | status |
+----+--------+-----+--------+---------------------+--------+
| 1 | 张三 | 28 | 男 | 2020-07-14 19:58:36 | 1 |
| 2 | 李四 | 39 | 男 | 2020-07-14 19:58:43 | 1 |
| 3 | 王五 | 30 | 女 | 2019-03-14 12:43:20 | 1 |
| 4 | 赵六 | 28 | 男 | 2020-07-15 15:22:47 | 1 |
| 6 | 钢蛋 | 77 | 男 | 2017-12-06 00:00:00 | 1 |
| 7 | 笨蛋 | 66 | 男 | 2017-12-06 00:00:00 | 1 |
+----+--------+-----+--------+---------------------+--------+
6 rows in set (0.00 sec)

#2)使用update修改状态

#相当于删除了,查看时加个状态条件
mysql> update student set status='0' where id=4;
Query OK, 1 row affected (0.00 sec)
Rows matched: 1 Changed: 1 Warnings: 0
mysql> select * from student;
+----+--------+-----+--------+---------------------+--------+
| id | name | age | gender | cometime | status |
+----+--------+-----+--------+---------------------+--------+
| 1 | 张三 | 28 | 男 | 2020-07-14 19:58:36 | 1 |
| 2 | 李四 | 39 | 男 | 2020-07-14 19:58:43 | 1 |
| 3 | 王五 | 30 | 女 | 2019-03-14 12:43:20 | 1 |
| 4 | 赵六 | 28 | 男 | 2020-07-15 15:22:47 | 0 |
| 6 | 钢蛋 | 77 | 男 | 2017-12-06 00:00:00 | 1 |
| 7 | 笨蛋 | 66 | 男 | 2017-12-06 00:00:00 | 1 |
+----+--------+-----+--------+---------------------+--------+
6 rows in set (0.00 sec)

#3)查看数据(加上状态条件)

#不显示'赵六'了
mysql> select * from student where status=1;
+----+--------+-----+--------+---------------------+--------+
| id | name | age | gender | cometime | status |
+----+--------+-----+--------+---------------------+--------+
| 1 | 张三 | 28 | 男 | 2020-07-14 19:58:36 | 1 |
| 2 | 李四 | 39 | 男 | 2020-07-14 19:58:43 | 1 |
| 3 | 王五 | 30 | 女 | 2019-03-14 12:43:20 | 1 |
| 6 | 钢蛋 | 77 | 男 | 2017-12-06 00:00:00 | 1 |
| 7 | 笨蛋 | 66 | 男 | 2017-12-06 00:00:00 | 1 |
+----+--------+-----+--------+---------------------+--------+
5 rows in set (0.00 sec)
#4)把'赵六'的状态改回来,就又回来了
mysql> update student set status='1' where id=4;
Query OK, 1 row affected (0.00 sec)
Rows matched: 1 Changed: 1 Warnings: 0

三.DQL数据查询语言(select,desc)

1.desc查看

mysql> desc student;
+----------+---------------------+------+-----+-------------------+----------------+
| Field | Type | Null | Key | Default | Extra |
+----------+---------------------+------+-----+-------------------+----------------+
| id | int(11) | NO | PRI | NULL | auto_increment |
| name | varchar(12) | NO | | NULL | |
| age | tinyint(3) unsigned | NO | | NULL | |
| gender | enum('男','女') | YES | | 男 | |
| cometime | datetime | YES | | CURRENT_TIMESTAMP | |
| status | enum('1','0') | YES | | 1 | |
+----------+---------------------+------+-----+-------------------+----------------+
6 rows in set (0.00 sec)

2.select查询语句

#1)查询表中所有数据
#很危险,如果数据量过大,容易导致down机,除非知道数据不大
mysql> select * from student;
#先查询数据总量,然后决定是否可以查询所有数据
mysql> select count(*) from student;
+----------+
| count(*) |
+----------+
| 6 |
+----------+
1 row in set (0.00 sec)
#2)查看指定列的数据
mysql> select name,age,gender from student;
+--------+-----+--------+
| name | age | gender |
+--------+-----+--------+
| 张三 | 28 | 男 |
| 李四 | 39 | 男 |
| 王五 | 30 | 女 |
| 赵六 | 28 | 男 |
| 钢蛋 | 77 | 男 |
| 笨蛋 | 66 | 男 |
+--------+-----+--------+
6 rows in set (0.00 sec)
#3)按条件查询(找李四的信息)
mysql> select name,age,gender from student where name='李四';
+--------+-----+--------+
| name | age | gender |
+--------+-----+--------+
| 李四 | 39 | 男 |
+--------+-----+--------+
1 row in set (0.00 sec)
3.查询练习
#1)数据库导入sql文件
一:
[root@db01 ~]# mysql -uroot -p 
Enter password:
二:
mysql> source /root/world.sql;
三:
mysql> \. /root/world.sql;
#2)查看数据
mysql> use world;
Database changed
mysql> show tables;
+-----------------+
| Tables_in_world |
+-----------------+
| city |
| country |
| countrylanguage |
+-----------------+
3 rows in set (0.00 sec)
mysql> select count(*) from city;
+----------+
| count(*) |
+----------+
| 4079 |
+----------+
1 row in set (0.00 sec)
#3)查询练习
#1.查看表结构
mysql> desc city;
+-------------+----------+------+-----+---------+----------------+
| Field | Type | Null | Key | Default | Extra |
+-------------+----------+------+-----+---------+----------------+
| ID | int(11) | NO | PRI | NULL | auto_increment |
| Name | char(35) | NO | | | |
| CountryCode | char(3) | NO | MUL | | |
| District | char(20) | NO | | | |
| Population | int(11) | NO | | 0 | |
+-------------+----------+------+-----+---------+----------------+
5 rows in set (0.00 sec)
#2.查看所有数据
mysql> select * from city;
#3.查看指定列的数据
mysql> select Name,Population from city;
#4.查看数据时排序(按照人口数量)
#升序
mysql> select Name,Population from city order by Population;
#降序
mysql> select Name,Population from city order by Population desc;
#5.查询部分数据
#查看前十条数据
mysql> select Name,Population from city order by Population desc limit 10;
#6.按照步长查询数据
mysql> select id,Name,Population from city limit 0,50; #0-50
mysql> select id,Name,Population from city limit 50,50; #51-100
#50起始位置 50步长

4.条件查询

#1.条件查询就是使用where语句,where语句可以使用的符号

条件符号:= < > <= >= != <> or and like

精确匹配:=

范围匹配:< > <= >= != <>

模糊匹配:like

连接语句:or and

#2.查询中国的城市人口

mysql> select name,population from city where CountryCode='CHN';

#3.查询黑龙江人口数量

mysql> select name,population from city where countrycode='CHN' and District='heilongjiang';

#4.查询中国人口数量小于100000的城市

mysql> select name,population from city where countrycode='CHN' and population < 100000;

#5.模糊匹配

#匹配以N结尾的数据

mysql> select name,countrycode from city where countrycode like '%N';

#匹配以N开头的数据

mysql> select name,countrycode from city where countrycode like 'N%';

#匹配包含N的数据

mysql> select name,countrycode from city where countrycode like '%N%';

#6.查询中国或美国的人口数量

#使用or

mysql> select name,population from city where countrycode = 'CHN' or countrycode = 'USA';

#使用in

mysql> select name,population from city where countrycode in ('CHN','USA');

#使用union all

mysql> select name,population from city where countrycode = 'CHN' union all select name,population from city where countrycode = 'USA';

四.select高级用法

#多表联查,联表查询

1.传统连接

练习一:连表查询:世界上小于100人的城市在哪个国家?请列出城市名字,国家名字与人口数量

#1.确认我要查哪些内容

国家名字 城市名字 城市人口数量 小于100人

#2.确认在哪个表

country.name city.name city.population

#3.找出两个表相关联的字段

city.countrycode country.code

#4.编写语句

mysql> select country.name,city.name,city.population from country,city where city.countrycode=country.code and city.population < 100;
+----------+-----------+------------+
| name | name | population |
+----------+-----------+------------+
| Pitcairn | Adamstown | 42 |
+----------+-----------+------------+
1 row in set (0.01 sec)

练习二:世界上小于100人的城市在哪个国家,是用什么语言?请列出城市名字,国家名字与人口数量和国家语言

#1.确认我要查哪些内容

国家名字 城市名字 城市人口数量 国家使用的语言 小于100人

#2.确认在哪个表

country.name city.name city.population countrylanguage.language

#3.找出三个表相关联的字段

country.code city.countrycode countrylanguage.countrycode

#4.写sql语句

mysql> select country.name,city.name,city.population,countrylanguage.language from country,city,countrylanguage where country.code=city.countrycode and city.countrycode=countrylanguage.countrycode and city.population < 100;
+----------+-----------+------------+-------------+
| name | name | population | language |
+----------+-----------+------------+-------------+
| Pitcairn | Adamstown | 42 | Pitcairnese |
+----------+-----------+------------+-------------+
1 row in set (0.04 sec)

2.自连接

#自己查找相同字段,使用自连接,两个关联的表必须有相同字段和相同数据

SELECT city.name,city.countrycode,countrylanguage.language,city.population
FROM city NATURAL JOIN countrylanguage
WHERE population > 1000000
ORDER BY population;

#两个表中没有相同字段不行,字段相同值不同不行

SELECT country.name,city.name,city.population FROM city NATURAL JOIN country WHERE population < 100;

#注意:

1.自连接必须有相同字段和相同值

2.两个表中的数据必须完全相同

3.内连接

#1)语法格式

select * from 表1 join 表2 on 相关联的条件 where 条件;

#注意:命中率(驱动的概念)

表1 小表

表2 大表

select * from 表1 inner join 表2 on 相关联的条件 where 条件;

#2)例子1:两表联查

#小于100人的城市在哪个国家,国家代码是什么?

select city.name,city.population,city.countrycode,country.name

from city join country on city.countrycode=country.code

where city.population < 100;

#3)例子2:三表联查

#世界上小于100人的城市在哪个国家?是用什么语言?

select country.name,city.name,city.population,countrylanguage.language

from city join country on city.countrycode=country.code

join countrylanguage on country.code=countrylanguage.countrycode

where city.population < 100;

4.外连接(基本不用)

1)左外连接

两个表只显示左边表的内容,类似于脱敏

2)右外连接

两个表只显示又边表的内容


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