同时插入多条语句:
mysql> insert into new_student values("邬家栋","2014101780","昆虫",13580303030,'1850-01-01'),
->("蒋睿","2014101058","昆虫",13030303089,"1991-07-01");
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" alt="" />
注意:逗号分隔,语句结束时是分号。
insert ... set 语句通过等号赋值
语法格式:
inert into 数据表名
set 字段名=字段值,
...;
例:
mysql> insert into new_student
-> set new_name="徐晴玉",
-> sid="2015010111",
-> major="昆虫",
-> tel=15468972013,
-> birthday="1990-05-23";
简单select查询
语法格式:
select 字段名 from 数据表名
where 条件表达式
查看某个表的所有数据:select * from new_student;
查看某个表的数据的前几行:select * from new_student limit 3;
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kF9mm17JpQ954j6Rsm1VbD5FtS2WHqeYwuHM3L1s1Z9W6QVyRPm62jyGG43uTohfZD8HlrXZs9t16RbLxuXuqFe8vrZH0fLZDmrB4Vm3M2LFnP2pSqvPn9hT8xt7fmdDf7r9DKog6SbHVcq3nNYG+++beRSmpzXr2r5xUpqc2db/k7+1q6ux2zVUJSy4rP+3Y/Z7cOghfuLW8ka2izFmTank1kakaPCs05m5Z8zdqWNn996U/M7K31/Mtw/g7VeWyc/m7DnonHVKGdZ+NYKZjd3YC4Xe/58E6td6W8MRTS5vM9k1ObxSOZ4MHzNmsy2c5mIx2lC164t7wxrOEjI9mz9ys0OadHJeacrUvu0OYY3BuB7jViP6ppbOL4ubnIuEnSvWDM35ZIOzhdMZtRApG8fLeIuKoffFQDzXnhzb9X3NO+J7BVDbTnhfZ61B74qAaa88Lr31d8FuyewFY10J4X2utRe+CjGmjOC69+W/M7VHcEtqqB9rzQXo/aAx/VQHNeePFFePcIAAAAbM7zz0/3bgIAAABoPPtFeJ82AAAAbM7Dp220+fhlkwa+KwX3St/Hn2WVe2cnANwlDz+V//1mJ67XLnVdP06NnN4n2sr8Aq37VVn+r85evl4r6MDpGuc7r/x5c+rNyRvTI4GciPW8CmbJ15etskqoc3KPJEsaXV34Lo4W8+4VdWK9+tQgTgypM4MPyZKh+Sq95F3HfpU8fCyszTEznE0LK4wUW1kvcpy9fU9+y93pPRbyW+76UR2Uml0h582pNzdvsEciWePTffuopcaXXG7dnNYjyZK9+TL7Re+wbDXvHlEn1mu20n5ljZya1SPJkqH5Kr3k3cd+jTz959rr5lMhx4mvnXWyTZI22y9mNiLTNTKWvh1+mA5qHLxX+Obu5HpLtPkWtdnOOtPmlJ9QuJS07u8omBdFerCZvKGPYyjuI6d0eX+ewxebCT2SLSnPVzkl57RZz9qUNj/5sKo2Xz1wnr2as+CJMv3Sb4F9t8OOij3RfBqy/iucKTn15rc5mCqSq80yojYHUdMY/P2qwj1K0OZIDzaTN/RxDMV9NBcuvQo5VS45wDJLLnkHbZGZQaQ5ZVlRm821w+zGr5UfuThRJDLsbZ+sEXgJ/mXanFNvdpsjUkV2XDcbia51c1q71tbm3jwZj/VgK3mthDvX5kWWdLYkt2S0+co62iyeRJzPf65rjTInc/tSIDLmp0gXO6mx98WtJ5q129Jl2pxTb2abo1JFdlw335Y2+wZfjAdbyhtjqyDb7GkL43l2hu4tWSZ2/Eq15pWMNl95+kH4DlVCb4+3pcdMp+Wxa5JTqgU91smNjNn9fFY0G61BmyNzps8UN6fN5iXL7whbyWslVKLNrvv02f/eVLlkiQWW9Noxr2S0+crDj8J7wYr2NvlpmNsgz1aOW9CMXSDrQva0Y3DFZz+qwzQN+uap//wgRJ3a3KWdpLSS18xTjzZ3Rkwdf0ncqEJOlUvWF02zW8ooS/qWzNklo81Xnn/c6rcu+lHNn4ZJXk5UR6YqyLvSng8uFTu0OUodnCPhTp8Fm8nrNGjLX+2UZhjmTbM/c67Ck9hAm42rFj4NdPN5A59GsdH9k/+iYs9VRVlyyV72spLRZp2Xnwr/RqS4glDTZKrGcf5rYX87NTKGybekssPUs/EQjuZl6+aseou0eTdtto4xh+F6k6MX2g/B5611bU6ayoySNlw3x3qwmbwXqtbmFGlO6VHYkv75Krfk1DbrWZvS5lefX/gTi6+bW7KcRZKtjjcy3lC0N+78G1QltTmv3gJtrkSbO9/yd/Y1T3c7ZquEpJYVn/ftfs5uHQQPNpn3RGXarAWZtmcTlyqXLCOO38B8lVFyVpuvWZtSmNdfXvoTS583N2U5iwRbebae/cdKwezuBsTtejtujxPrTc4b3SMvhbT5PAc5tVnc6AkePC9tXVqPZEuajfQdJ7o92F7evaIuUK+e7Nn79aVm9shnyZj5Kq3k/DZ3LWrzrytrsxxi7dBcZNwk6V4w5m9LpB2crpjNKIEQl/cmy/YItgIf1UBzXnj1Zas97cbBVjXQnhfa61F74KMaaM4LLz5v9Zx242CrGmjPC+31qD3wUQ0054Vnnx78ic31dkWwVQ2054X2etQe+KgGmvPCw0/Ce8EAAABgcx5LvxEJAAAAm/Pow6O9mwAAAAAa3/Xf7d0EAAAA0PjHe7QZAACgJtBmAACAumBPGwAAoC4e/8izYAAAADXx5KPwHaqMHwUBAyxZA3hBB2vUDz6qgZ288PDzU38ikVEKLFkDeEEHa9QPPqqBnbzw/JfAOzuJjBJgyRrACzpYo37wUQ3s5AXHb12Efhev68zfxpu/w5TUI1iyhlS8gDVuKxUf1ZAa44VVefkl8DtU3LWVAEvWAF7QwRr1g49qYCcvvPr1uT+RyCgFlqwBvKCDNeoHH9UA2twyWLIG8IIO1qgffFQDO3nh5a/CnjYAAABszgvpvBkAAAA25/ln4TtUAAAAsDnPfhHePQIAAACb8/Dpyd5NAAAAAI2nPwnv0wYAAIDNEX/rAgAAADbn8Ud+IxIAAKAmHv/zu72bAAAAABqPfnRrs/mi72beTNPme3aGyfUOd92Hi7ss580peTXa9C0A3CWPPji0eZiMn+ToR+Wc+2+QGudvj7Jm5tc/XdprOW9OyevSj6qROAWAO+fRh3/MPxxGa4KrawpujExtHiaHa2yHLalDzptT8vo4jQEAcGt859LmOcvmvPP8fdn6NCZv/fcyrym+NY/xubHTvmwOFrZhT/JyvWKh1oRaZXTYkrUZC5XFc9c089cCB8p5c0ru0m01T3U7CXEGgBZwrptnLFwcHTfBlbpMkv04DnrSpahhukzB7llV0x67EcO0fL3mlLKTXpw+XriDH2qV1sPZf+4SFuG3mllk/HavnDen5ExbWf/34+S5lUOcAeDWcZ43W7gEReS4vHHlmOvQ5RP3rHrVniKbp35t1if9BdN7oFVCf2OLEPEI46XIgHXFJjvzFik5Nln/JNZKde2xAwAk4XtO+4JfZwN5XFkcUnK99pp4nV+1DKf9zLw1kVebzeXcwsNZb6tc0uncFE5VE+EJ7fq0OcdW0atzngcDgAYIaPPiJXPXdcJ07ZISc2U8Dec5/KIA1oo29WTW37IcbZZb5TxRdl1UWJsr3dPOsFW0kdBmAGiAx4I2pwlzl7pu7rphOqix70elxmFUp8eznA04TuTL27aGNgutihKKFfa0630WzMi2wFbRksueNgA0gFebre84L8K/zSmfKfajOqhpUmrsu35Uapr8E3LaHLyuNruLCgnXCs+C3cR3qJbZKrIengUDgBZwa3PqsvSEMEH6n9O+1ns9dD6YC7Z8SSiuzcFWzTYfjpsDdptyFs7B4wPfRT43y3ljSnaSaauo57T5DhUAtIBLm81DwQvx8iHP2O7vNx/R59/5lrp+JLlMzJyHmb5HgBfqfrBVpj09x8Pm8erCrrkzaQ2TLhAODXx5gyVLjc2wVej7zayaAaANpPNmuAl4+ukMlgCARkCbG4Dnn7qORTMANATaDAAAUBf8fjMAAEBdPEGbAQAAquLJR7QZAACgJp7+9GjvJgAAAMCV/wP0SLZyfb0ZOQAAAABJRU5ErkJggg==" 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筛选出符合条件的的人的名字:select new_name from new_student where birthday >= '1992-01-01'; #生日大于1991.01.01
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" 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筛选出符合条件的所有人信息:select * from new_student where birthday >= '1992-01-01'; #星号代替所有字段
筛选出符合条件的所有人信息:select * from new_student where year(birthday) >= 1993; #year是内置函数。找出大于1993年的人所有信息
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带结果排序的select查询
语法格式:
select 字段名 from 数据表名
where 条件表达式
order by 字段名 [asc][desc];
例:
mysql> select new_name,birthday from new_student
-> where birthday > '1990-01-01'
-> order by birthday desc; #desc降序排列
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" alt="" />
限定结果条数的select语句查询
语法格式:
select 字段名 from 数据表名
where 条件表达式
limit row_count;
例:
mysql> select new_name,birthday from new_student
-> where birthday >= '1990-01-01'
-> limit 3;
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" alt="" />
#先对结果进行排序,再做出选择
mysql> select new_name,birthday from new_student
-> where birthday >= '1990-01-01'
-> order by birthday desc
-> limit 3;
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alt="" />
更新语句update
语法格式:
update 数据表名
set 字段名=字段值,...
[where 查询条件]
例
mysql> update new_student
-> set majot="昆虫"; #将所有的专业都改成了昆虫
mysql> update new_student
-> set major="病理" 将major修改为病理,注意major后面没有逗号
-> where sid='2014101011'; #where是定位修改记录
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" alt="" />
mysql> update new_student
-> set major="数据挖掘" #修改major为数据挖掘
-> where year(birthday) >1993 #查询生日大于1993年的
-> order by birthday limit 3; #然后按生日排序 依次修改3个
新增指标
mysql> select stud_code,sub_score,
-> case when sub_score >= 90 then 'A'
-> when sub_score >=80 && sub_score<90 then 'B'
-> when sub_score >=60 && sub_score<80 then 'c'
-> else 'D'
-> end AS AB from stud_score;
将新指标保存到一个新表中
mysql> create table stud_score_wu1 as
-> select stud_code,sub_score,
-> case when sub_score >=90 then 'A'
-> when sub_score >=80 && sub_score<=90 then 'B'
-> when sub_score >=60 && sub_score<80 then 'C'
-> else 'D'
-> end AS AB from stud_score;
#!/bin/bash
#文件名称;auto_table.sh
#文件功能:创建一含自增量为主键的表,并进行增删改操作
#创建时间:--
#创建作者:邬家栋
mysql -u feigu_mysql -pfeigu2016 testdb << EOF
drop table if exists wu_auto_table;
create table wu_auto_table(
id int unsigned not null auto_increment,
name varchar() not null comment "姓名",
major char() not null,
score int() not null,
tel varchar() null,
primary key(id)
);
/*插入数据*/
insert into wu_auto_table(name,major,score,tel) values("zhang","数据挖掘",,),("li","昆虫",,),("wang","机器学习",,);
select * from wu_auto_table;
/*更新数据*/
update wu_auto_table set major="计算机" where id=;
select * from wu_auto_table;
/*新增指标 */
drop table if exists new_table;
create table new_table as
select name,score,
case when score>= then "A"
when score >= && score< then "B"
else "C"
end AS AB from wu_auto_table;
select * from new_table;
/*删除数据*/
delete from wu_auto_table where id =;
select * from wu_auto_table;
EOF
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" alt="" />
2 修改stud_score表中 stud_code=2015101000的高等代数成绩,并将结果保存到一个文件中。
#!/bin/bash
#文件名称;pandas_alter_table.sh
#文件功能:修改stud_score表中某行成绩并保存结果到文件
#创建时间:--
#创建作者:邬家栋
ipython << EOF
import numpy as np
import pandas as pd
from pandas import DataFrame
import MySQLdb
conn=MySQLdb.connect(host='localhost',port=,user='feigu_mysql',passwd='feigu2016',db='testdb',charset='utf8',unix_socket='/var/run/mysqld/mysqld.sock')
data=pd.read_sql('select * from stud_score',conn)
df1=DataFrame(data)
df2=df1.ix[,['sub_score']]=
df2
quit
EOF
问题:做到这里不会做了修改之后不知奥怎么保存。最后几步有问题。
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" 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