1、创建表
1.1、创建表基本语法
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create table tablename (column_name_1 column_type_1 constraints, column_name_2 column_type_2 constraints , ……) |
column_name
是列的名字
column_type
是列的数据类型
contraints
是这个列的约束条件
1.1.1、创建一张简单的表
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mysql> create table orders (ordername varchar (10),createtime date ,ordermoney decimal (10,2),ordernumber int (2)); query ok, 0 rows affected (0.23 sec) |
1.1.2、查看创建表定义
结构化定义:
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mysql> desc orders; + -------------+---------------+------+-----+---------+-------+ | field | type | null | key | default | extra | + -------------+---------------+------+-----+---------+-------+ | ordername | varchar (10) | yes | | null | | | createtime | date | yes | | null | | | ordermoney | decimal (10,2) | yes | | null | | | ordernumber | int (2) | yes | | null | | + -------------+---------------+------+-----+---------+-------+ 4 rows in set (0.00 sec) |
表详细定义:
查看详细的表定义:
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mysql> show create table orders \g; *************************** 1. row *************************** table : orders create table : create table `orders` ( `ordername` varchar (10) default null , `createtime` date default null , `ordermoney` decimal (10,2) default null , `ordernumber` int (2) default null ) engine=innodb default charset=latin1 1 row in set (0.00 sec) error: no query specified |
由此可以看到表的 engine
(存储引擎)是innodb
charset
(字符集)是latin1
“\g
”选项的含义是使得记录能够按照字段竖着排列,对于内容比较长的记录更易于显示。
2、删除表
命令:
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drop table tablename |
删除orders:
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mysql> drop table orders -> ; query ok, 0 rows affected (0.14 sec) |
3、修改表
3.1、修改表类型命令
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alter table tablename modify [ column ] column_definition [ first | after col_name] |
例:修改表 orders
的 name
字段定义,将 varchar(10)
改为 varchar(20)
:
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mysql> alter table orders modify ordername varchar (20); query ok, 0 rows affected (0.11 sec) records: 0 duplicates: 0 warnings: 0 mysql> desc orders; + -------------+---------------+------+-----+---------+-------+ | field | type | null | key | default | extra | + -------------+---------------+------+-----+---------+-------+ | ordername | varchar (20) | yes | | null | | | createtime | date | yes | | null | | | ordermoney | decimal (10,2) | yes | | null | | | ordernumber | int (2) | yes | | null | | + -------------+---------------+------+-----+---------+-------+ 4 rows in set (0.00 sec) |
3.2、字段改名命令
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alter table tablename change [ column ] old_col_name column_definition [ first | after col_name] |
例:表 orders
上将ordernumber
修改为ordernumbers
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mysql> alter table orders change column ordernumber ordernumbers int (4); query ok, 0 rows affected (0.06 sec) records: 0 duplicates: 0 warnings: 0 mysql> desc orders; + --------------+---------------+------+-----+---------+-------+ | field | type | null | key | default | extra | + --------------+---------------+------+-----+---------+-------+ | ordername | varchar (20) | yes | | null | | | createtime | date | yes | | null | | | ordermoney | decimal (10,2) | yes | | null | | | ordernumbers | int (4) | yes | | null | | + --------------+---------------+------+-----+---------+-------+ 4 rows in set (0.00 sec) |
特别说明:change 和 modify 都可以修改表的定义,不同的是 change 后面需要写两次列名,不方便。但是 change 的优点是可以修改列名称,modify 则不能。
3.3、增加表字段命令
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alter table tablename add [ column ] column_definition [ first | after col_name] |
例:表 orders
上新增加字段 username
,类型为 varchar(3)
:
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mysql> alter table orders add column username varchar (30); query ok, 0 rows affected (0.39 sec) records: 0 duplicates: 0 warnings: 0 mysql> desc orders; + -------------+---------------+------+-----+---------+-------+ | field | type | null | key | default | extra | + -------------+---------------+------+-----+---------+-------+ | ordername | varchar (20) | yes | | null | | | createtime | date | yes | | null | | | ordermoney | decimal (10,2) | yes | | null | | | ordernumber | int (2) | yes | | null | | | username | varchar (30) | yes | | null | | + -------------+---------------+------+-----+---------+-------+ 5 rows in set (0.00 sec) |
3.4、删除表列字段命令
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alter table tablename drop [ column ] col_name |
例:表 orders
上删除字段 username
:
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mysql> alter table orders drop column username; query ok, 0 rows affected (0.53 sec) records: 0 duplicates: 0 warnings: 0 mysql> desc orders; + -------------+---------------+------+-----+---------+-------+ | field | type | null | key | default | extra | + -------------+---------------+------+-----+---------+-------+ | ordername | varchar (20) | yes | | null | | | createtime | date | yes | | null | | | ordermoney | decimal (10,2) | yes | | null | | | ordernumber | int (2) | yes | | null | | + -------------+---------------+------+-----+---------+-------+ 4 rows in set (0.00 sec) |
3.5、表改名命令
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alter table tablename rename [ to ] new_tablename |
例:表 orders
名字改为goodsorders
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mysql> alter table orders rename goodsorders; query ok, 0 rows affected (0.16 sec) mysql> desc orders; error 1146 (42s02): table 'ordermanage.orders' doesn't exist mysql> desc goodsorders; + --------------+---------------+------+-----+---------+-------+ | field | type | null | key | default | extra | + --------------+---------------+------+-----+---------+-------+ | ordername | varchar (20) | yes | | null | | | createtime | date | yes | | null | | | ordermoney | decimal (10,2) | yes | | null | | | ordernumbers | int (4) | yes | | null | | + --------------+---------------+------+-----+---------+-------+ 4 rows in set (0.00 sec) |
4、dml 语句
插入(insert
)、查询(select
)、更新(update
)、删除(delete
)
4.1、插入记录 命令
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insert into tablename (field1,field2,……fieldn) values (value1,value2,……valuesn); |
例:表 goodsorders
中插入一条记录,ordername
为zhang
,createtime
为2021-05-12
,ordermoney
为100.00
,ordernumbers
为:1
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mysql> insert into goodsorders (ordername,createtime,ordermoney,ordernumbers) values ( 'zhang' , '2021-05-12' ,100.00,1); query ok, 1 row affected (0.03 sec) |
也可以省略(field1,field2,……fieldn)这一部分
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mysql> insert into goodsorders values ( 'zhang1' , '2021-05-12' ,1001.00,11); query ok, 1 row affected (0.05 sec) |
4.2、查看插入数据命令
4.2.1、查询全部
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select * from tablename [ where condition] |
例:查看goodsorders
中所有插入数据
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mysql> select * from goodsorders; + -----------+------------+------------+--------------+ | ordername | createtime | ordermoney | ordernumbers | + -----------+------------+------------+--------------+ | zhang | 2021-05-12 | 100.00 | 1 | | zhang1 | 2021-05-12 | 1001.00 | 11 | + -----------+------------+------------+--------------+ 2 rows in set (0.00 sec) |
其中“*”表示要将所有的记录都选出来
4.2.2、查询不重复记录命令关键字
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distinct |
例:查询非goodsorders
中非重复创建时间(createtime)的数据
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mysql> select * from goodsorders; + -----------+------------+------------+--------------+ | ordername | createtime | ordermoney | ordernumbers | + -----------+------------+------------+--------------+ | zhang | 2021-03-11 | 50.00 | 1 | | li | 2020-05-12 | 70.00 | 15 | | li | 2020-03-12 | 70.00 | 15 | | li | 2020-03-11 | 70.00 | 15 | | li | 2021-03-11 | 70.00 | 15 | + -----------+------------+------------+--------------+ 5 rows in set (0.00 sec) mysql> select distinct createtime from goodsorders; + ------------+ | createtime | + ------------+ | 2021-03-11 | | 2020-05-12 | | 2020-03-12 | | 2020-03-11 | + ------------+ 4 rows in set (0.00 sec) |
由此可以看到,将重复的一条时间数据2021-03-11
去掉了
4.2.3、多条件查询关键字
where
后面的条件是一个字段的‘='比较,还可以使用>、<、>=、<=、!=等比较运算符;
多个条件之间还可以使用 or、and 等逻辑运算符进行多条件联合查询,
例:查询非goodsorders
中 ordername='li'
并且createtime
为2020-03-11
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mysql> select * from goodsorders where ordername= 'li' and createtime = '2020-03-11' ; + -----------+------------+------------+--------------+ | ordername | createtime | ordermoney | ordernumbers | + -----------+------------+------------+--------------+ | li | 2020-03-11 | 70.00 | 15 | + -----------+------------+------------+--------------+ 1 row in set (0.00 sec) |
4.2.4、排序查询命名
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select * from tablename [ where condition] [ order by field1 [ desc | asc ] , field2 [ desc | asc ],……fieldn [ desc | asc ]] |
例:把 goodsorders
表中的记录按照创建时间高低进行排序显示
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mysql> select * from goodsorders order by createtime; + -----------+------------+------------+--------------+ | ordername | createtime | ordermoney | ordernumbers | + -----------+------------+------------+--------------+ | li | 2020-03-11 | 70.00 | 15 | | li | 2020-03-12 | 70.00 | 15 | | li | 2020-05-12 | 70.00 | 15 | | zhang | 2021-03-11 | 50.00 | 1 | | li | 2021-03-11 | 70.00 | 15 | + -----------+------------+------------+--------------+ 5 rows in set (0.01 sec) |
4.2.5、显示一部分,而不是全部,指令
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select ……[limit offset_start,row_count] |
offset_start
表示记录的起始偏移量
row_count
表示显示的行数
例如1:显示 goodsorders
表中按照 createtiem
排序后的前 3 条记录:
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mysql> select * from goodsorders order by createtime limit 3; + -----------+------------+------------+--------------+ | ordername | createtime | ordermoney | ordernumbers | + -----------+------------+------------+--------------+ | li | 2020-03-11 | 70.00 | 15 | | li | 2020-03-12 | 70.00 | 15 | | li | 2020-05-12 | 70.00 | 15 | + -----------+------------+------------+--------------+ 3 rows in set (0.00 sec) |
例如2:如果要显示 goodsorders
表中按照 createtiem
排序后 从第二条记录开始,显示3条数据:
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mysql> select * from goodsorders order by createtime limit 2,3; + -----------+------------+------------+--------------+ | ordername | createtime | ordermoney | ordernumbers | + -----------+------------+------------+--------------+ | li | 2020-05-12 | 70.00 | 15 | | zhang | 2021-03-11 | 50.00 | 1 | | li | 2021-03-11 | 70.00 | 15 | + -----------+------------+------------+--------------+ 3 rows in set (0.00 sec) |
4.2.6、统计数据,聚合指令
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select [field1,field2,……fieldn] fun_name from tablename [ where where_contition] [ group by field1,field2,……fieldn [ with rollup ]] [ having where_contition] |
参数说明:
-
1、
fun_name
表示要做的聚合操作,也就是聚合函数,常用的有sum
(求和)、count
(*)(记录数)、max
(最大值)、min
(最小值) -
2、
group by
关键字表示要进行分类聚合的字段,比如要按照部门分类统计员工数量,部门就应该写在group
by 后面。 -
3、
with rollup
是可选语法,表明是否对分类聚合后的结果进行再汇总。 -
4、
having
关键字表示对分类后的结果再进行条件的过滤。
注意:having 和 where 的区别在于 having 是对聚合后的结果进行条件的过滤,而 where 是在聚合前就对记录进行过滤,如果逻辑允许,我们尽可能用 where 先过滤记录,这样因为结果集减小,将对聚合的效率大大提高,最后再根据逻辑看是否用 having 进行再过滤。
例1:查询统计goodsorders
表中,记录总数
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mysql> select count (1) from goodsorders; + ----------+ | count (1) | + ----------+ | 5 | + ----------+ 1 row in set (0.00 sec) |
例2:在此基础上,按照创建日期(createtime
)进行分组统计
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mysql> select createtime, count (1) from goodsorders group by createtime; + ------------+----------+ | createtime | count (1) | + ------------+----------+ | 2020-03-11 | 1 | | 2020-03-12 | 1 | | 2020-05-12 | 1 | | 2021-03-11 | 2 | + ------------+----------+ 4 rows in set (0.00 sec) |
例3:在此基础上,既要按照创建日期(cretetime
)进行分组统计,又要计算总数
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mysql> select createtime, count (1) from goodsorders group by createtime with rollup ; + ------------+----------+ | createtime | count (1) | + ------------+----------+ | 2020-03-11 | 1 | | 2020-03-12 | 1 | | 2020-05-12 | 1 | | 2021-03-11 | 2 | | null | 5 | + ------------+----------+ 5 rows in set (0.02 sec) |
最有一行,null
所展示的数字,就是总数
例4:按照创建日期(createtime
)进行分组统计,并且数量大于1
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mysql> select createtime, count (1) from goodsorders group by createtime having count (1)>1; + ------------+----------+ | createtime | count (1) | + ------------+----------+ | 2021-03-11 | 2 | + ------------+----------+ 1 row in set (0.00 sec) |
例5:查询goodsorders
表中,订单金额(ordermoney
)的总额、最低额、最高额
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mysql> select * from goodsorders; + -----------+------------+------------+--------------+ | ordername | createtime | ordermoney | ordernumbers | + -----------+------------+------------+--------------+ | zhang | 2021-03-11 | 50.00 | 1 | | li | 2020-05-12 | 70.00 | 15 | | li | 2020-03-12 | 70.00 | 15 | | li | 2020-03-11 | 70.00 | 15 | | li | 2021-03-11 | 70.00 | 15 | + -----------+------------+------------+--------------+ 5 rows in set (0.00 sec) mysql> select sum (ordermoney), max (ordermoney), min (ordermoney) from goodsorders; + -----------------+-----------------+-----------------+ | sum (ordermoney) | max (ordermoney) | min (ordermoney) | + -----------------+-----------------+-----------------+ | 330.00 | 70.00 | 50.00 | + -----------------+-----------------+-----------------+ 1 row in set (0.02 sec) |
4.2.7、表连接
-
1、左连接:包含所有的左边表中的记录甚至是右边表中没有和它匹配的记录;关键指令:
left join
-
2、右连接:包含所有的右边表中的记录甚至是左边表中没有和它匹配的记录;关联指令:
right join
例1:现在我们又创建一张用户表(member
),使用goodorders
进行左连接,查询关联的用户表信息
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mysql> select * from member; + ------+------------+ | id | membername | + ------+------------+ | 15 | zhang | | 1 | li | | 13 | liss | + ------+------------+ 3 rows in set (0.00 sec) mysql> select * from goodsorders; + -----------+------------+------------+--------------+----------+ | ordername | createtime | ordermoney | ordernumbers | memberid | + -----------+------------+------------+--------------+----------+ | zhang | 2021-03-11 | 50.00 | 1 | 15 | | li | 2020-05-12 | 70.00 | 15 | 1 | | li | 2020-03-12 | 70.00 | 15 | 1 | | li | 2020-03-11 | 70.00 | 15 | 3 | | li | 2021-03-11 | 70.00 | 15 | 1 | + -----------+------------+------------+--------------+----------+ 5 rows in set (0.00 sec) mysql> select * from goodsorders left join member on goodsorders.memberid = member.id; + -----------+------------+------------+--------------+----------+------+------------+ | ordername | createtime | ordermoney | ordernumbers | memberid | id | membername | + -----------+------------+------------+--------------+----------+------+------------+ | zhang | 2021-03-11 | 50.00 | 1 | 15 | 15 | zhang | | li | 2020-05-12 | 70.00 | 15 | 1 | 1 | li | | li | 2020-03-12 | 70.00 | 15 | 1 | 1 | li | | li | 2021-03-11 | 70.00 | 15 | 1 | 1 | li | | li | 2020-03-11 | 70.00 | 15 | 3 | null | null | + -----------+------------+------------+--------------+----------+------+------------+ 5 rows in set (0.00 sec) |
例2:member
和goodsorders
中数据不变,我们再来看一下右连接的查询,以及结果:
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mysql> select * from goodsorders right join member on goodsorders.memberid = member.id; + -----------+------------+------------+--------------+----------+------+------------+ | ordername | createtime | ordermoney | ordernumbers | memberid | id | membername | + -----------+------------+------------+--------------+----------+------+------------+ | zhang | 2021-03-11 | 50.00 | 1 | 15 | 15 | zhang | | li | 2020-05-12 | 70.00 | 15 | 1 | 1 | li | | li | 2020-03-12 | 70.00 | 15 | 1 | 1 | li | | li | 2021-03-11 | 70.00 | 15 | 1 | 1 | li | | null | null | null | null | null | 13 | liss | + -----------+------------+------------+--------------+----------+------+------------+ 5 rows in set (0.00 sec) |
这里发生了翻转,变为左侧goodsorders
表中的一条数据为空了
4.2.8、子查询,相关关键字
主要包括 in
、not in
、=
、!=
、exists
、not exists
等
例:从goodsorders
表中查询所有用户在memeber表中的记录
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mysql> select * from member; + ------+------------+ | id | membername | + ------+------------+ | 15 | zhang | | 1 | li | | 13 | liss | + ------+------------+ 3 rows in set (0.00 sec) mysql> select * from goodsorders; + -----------+------------+------------+--------------+----------+ | ordername | createtime | ordermoney | ordernumbers | memberid | + -----------+------------+------------+--------------+----------+ | zhang | 2021-03-11 | 50.00 | 1 | 15 | | li | 2020-05-12 | 70.00 | 15 | 1 | | li | 2020-03-12 | 70.00 | 15 | 1 | | li | 2020-03-11 | 70.00 | 15 | 3 | | li | 2021-03-11 | 70.00 | 15 | 1 | + -----------+------------+------------+--------------+----------+ 5 rows in set (0.00 sec) mysql> select * from goodsorders where memberid in ( select id from member); + -----------+------------+------------+--------------+----------+ | ordername | createtime | ordermoney | ordernumbers | memberid | + -----------+------------+------------+--------------+----------+ | zhang | 2021-03-11 | 50.00 | 1 | 15 | | li | 2020-05-12 | 70.00 | 15 | 1 | | li | 2020-03-12 | 70.00 | 15 | 1 | | li | 2021-03-11 | 70.00 | 15 | 1 | + -----------+------------+------------+--------------+----------+ 4 rows in set (0.05 sec) |
4.2.9、记录联合,指令
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select * from t1 union | union all select * from t2 …… union | union all select * from tn; |
union
和 union all
的主要区别:
union all
是把结果集直接合并在一起,
union
是将union all
后的结果进行一次 distinct
,去除重复记录后的结果。
例1:将member
表和goodsorders
表中的用户编号id
(memberid)的集合显示出来
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mysql> select memberid from goodsorders union all select id from member; + ----------+ | memberid | + ----------+ | 15 | | 1 | | 1 | | 3 | | 1 | | 15 | | 1 | | 13 | + ----------+ 8 rows in set (0.00 sec) |
例2:如果希望将上面的结果去掉重复记录后显示
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mysql> select memberid from goodsorders union select id from member; + ----------+ | memberid | + ----------+ | 15 | | 1 | | 3 | | 13 | + ----------+ 4 rows in set (0.00 sec) |
4.3、更新记录命令
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update tablename set field1=value1,field2.=value2,……fieldn=valuen [ where condition] |
例:将表 goodsorders
中ordername
为zhang
的订单金额(ordermoney
)改为50
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mysql> update goodsorders set ordermoney=50.00 where ordername= 'zhang' ; query ok, 1 row affected (0.09 sec) rows matched: 1 changed: 1 warnings: 0 mysql> select * from goodsorders; + -----------+------------+------------+--------------+ | ordername | createtime | ordermoney | ordernumbers | + -----------+------------+------------+--------------+ | zhang | 2021-05-12 | 50.00 | 1 | | zhang1 | 2021-05-12 | 1001.00 | 11 | + -----------+------------+------------+--------------+ 2 rows in set (0.00 sec) |
更新时,如遇到错误代码1175:
error code: 1175. you are using safe update mode and you tried to update a table without a where that uses a key column. to disable safe mode, toggle the option in preferences
解决方法:
1、先进行状体查询:
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show variables like 'sql_safe_updates' ; |
2、执行下面的sql,关闭safe-updates模式:
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set sql_safe_updates = 0; |
或者
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set sql_safe_updates = false ; |
4.4、删除记录命名
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delete from tablename [ where condition] |
例:将表 goodsorders
中ordername
为zhang1
的记录全部删除
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mysql> delete from goodsorders where ordername = 'zhang1' ; query ok, 1 row affected (0.06 sec) mysql> select * from goodsorders; + -----------+------------+------------+--------------+ | ordername | createtime | ordermoney | ordernumbers | + -----------+------------+------------+--------------+ | zhang | 2021-05-12 | 50.00 | 1 | + -----------+------------+------------+--------------+ 1 row in set (0.02 sec) |
4.5、初始化表
例:将表中的所有数据清空
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mysql> select * from varc; + ------+------+ | v | c | + ------+------+ | abc | abc | + ------+------+ 1 row in set (0.03 sec) mysql> truncate table varc; query ok, 0 rows affected (0.25 sec) mysql> select * from varc; empty set (0.00 sec) |
5、dcl 语句
dcl
语句主要是为了管理数据库系统中的操作对象权限
5.1创建数据库用户
例:创建一个数据库用户 user1
,初始密码为123
,具有对 ordermanage
数据库中所有表的 select/insert
权限:
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mysql> grant select , insert on ordermanage.* to 'user1' @ 'localhost' identified by '123' ; query ok, 0 rows affected, 1 warning (0.06 sec) mysql> exit bye c:\program files\mysql\mysql server 5.7\bin>mysql -uuser1 -p123 mysql: [warning] using a password on the command line interface can be insecure. welcome to the mysql monitor. commands end with ; or \g. your mysql connection id is 82 server version: 5.7.17-log mysql community server (gpl) copyright (c) 2000, 2016, oracle and / or its affiliates. all rights reserved. oracle is a registered trademark of oracle corporation and / or its affiliates. other names may be trademarks of their respective owners. type 'help;' or '\h' for help. type '\c' to clear the current input statement. mysql> show databases; + --------------------+ | database | + --------------------+ | information_schema | | ordermanage | + --------------------+ 2 rows in set (0.00 sec) |
在此基础上,将此用户(user1
)的insert
权限进行收回
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mysql> revoke insert on ordermanage.* from 'user1' @ 'localhost' ; query ok, 0 rows affected (0.02 sec) mysql> exit bye c:\program files\mysql\mysql server 5.7\bin>mysql -uuser1 -p123 mysql: [warning] using a password on the command line interface can be insecure. welcome to the mysql monitor. commands end with ; or \g. your mysql connection id is 84 server version: 5.7.17-log mysql community server (gpl) copyright (c) 2000, 2016, oracle and / or its affiliates. all rights reserved. oracle is a registered trademark of oracle corporation and / or its affiliates. other names may be trademarks of their respective owners. type 'help;' or '\h' for help. type '\c' to clear the current input statement. mysql> use ordermanage; database changed mysql> insert into member values ( '11' , 'ss' ); error 1142 (42000): insert command denied to user 'user1' @ 'localhost' for table 'member' mysql> |
由此可以看出插入权限不足,插入失败
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原文链接:https://www.cnblogs.com/19930521zhang/p/14756371.html