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                ## **單表查詢** ## <blockquote class="danger"><p>表創建</p></blockquote> ``` create table emp( id int not null unique auto_increment, name varchar(20) not null, sex enum('male','female') not null default 'male', #大部分是男的 age int(3) unsigned not null default 28, hire_date date not null, post varchar(50), post_comment varchar(100), salary double(15,2), office int, #一個部門一個屋子 depart_id int ); ``` ## <blockquote class="danger"><p>插入記錄【三個部門:教學,銷售,運營】</p></blockquote> insert into emp(name,sex,age,hire_date,post,salary,office,depart_id) values ('jason','male',18,'20170301','張江第一帥形象代言',7300.33,401,1), #以下是教學部 ('egon','male',78,'20150302','teacher',1000000.31,401,1), ('kevin','male',81,'20130305','teacher',8300,401,1), ('tank','male',73,'20140701','teacher',3500,401,1), ('owen','male',28,'20121101','teacher',2100,401,1), ('jerry','female',18,'20110211','teacher',9000,401,1), ('nick','male',18,'19000301','teacher',30000,401,1), ('sean','male',48,'20101111','teacher',10000,401,1), ('歪歪','female',48,'20150311','sale',3000.13,402,2),#以下是銷售部門 ('丫丫','female',38,'20101101','sale',2000.35,402,2), ('丁丁','female',18,'20110312','sale',1000.37,402,2), ('星星','female',18,'20160513','sale',3000.29,402,2), ('格格','female',28,'20170127','sale',4000.33,402,2), ('張野','male',28,'20160311','operation',10000.13,403,3), #以下是運營部門 ('程咬金','male',18,'19970312','operation',20000,403,3), ('程咬銀','female',18,'20130311','operation',19000,403,3), ('程咬銅','male',18,'20150411','operation',18000,403,3), ('程咬鐵','female',18,'20140512','operation',17000,403,3) ; #ps:如果在windows系統中,插入中文字符,select的結果為空白,可以將所有字符編碼統一設置成gbk ## <blockquote class="danger"><p>查詢記錄</p></blockquote> 1. 語法執行順序 1. 初識查詢語句 select id,name from emp where id \>= 3 and id <= 6; 先后順序 from where select 2. where約束條件 ## 1.查詢id大于等于3小于等于6的數據 select id,name from emp where id >=3 and id <= 6; select * from emp where id between 3 and 6; ## 2.查詢薪資是20000或18000或17000的數據 select * from emp where salary = 20000 or salare = 18000 or salary = 17000; select * from emp where salary in (20000,18000,17000); # 簡寫 ## 3.查詢員工姓名中包含字母o的員工姓名和薪資 在剛開始接觸mysql查詢時,建議按照查詢的優先級順序拼寫出你的sql語句 """ 先是查哪張表 from emp 再是根據什么條件去查 where name like ‘%o%’ 再是對查詢出來的數據篩選展示部分 select name,salary select name,salary from emp where name like '%o%'; ## 4.查詢員工姓名是由四個字符組成的員工姓名和其薪資 select name,salary from emp where name like '____'; select name,salary from emp where char_length(name) = 4; ## 5.查詢id小于3或者大于6的數據 select * from emp where id <3 or id >6; select * from emp where id not between 3 and 6; ## 6.查詢薪資不在20000,18000,17000范圍的數據 select * from emp where salary not in (20000,18000,17000); ## 7.查詢崗位描述為空的員工姓名與崗位名 針對null不能用等號,只能用is select name,post from emp where post_comment = null; # 查詢為空! select name,post from emp where post_comment is null; select name,post from emp where post_comment is not null; 3. group by ## 數據分組應用場景:每個部門的平均薪資,男女比例等 ## 1.按部門分組 select * from emp group by post; # 分組后取出的是每一個組的第一條數據 select id,name,sex from emp group by post # 驗證 """ 設置sql_mode為only_full_group_by,意味著以后但凡分組,只能取到分組的依據, 不應該在去取組里面的單個元素的值,那樣的話分組就沒有意義了,因為不分組就是對單個元素信息的隨意獲取 """ set global sql_mode="strict_trans_tables,only_full_group_by"; ## 重新鏈接客戶端 select * from emp group by post; # 報錯 select id,name,sex from emp group by post; # 報錯 select post from emp group bty post; # 獲取部門信息 ## 強調:只要分組了,就不能夠再"直接"查找到單個數據信息了,只能獲取到組名 ## 2.獲取每個部門的最高工資 ## 以組為單位統計組內數據>>>聚合查詢(聚集到一起合為一個結果) ## 每個部門的最高工資 select post,max(salary) from emp group by post; ## 每個部門的最低工資 select post,min(salary) from emp group by post; ## 每個部門的平均工資 select post,avg(salary) from emp group by post; ## 每個部門的工資總和 select post,sum(salary) from emp group by post; ## 每個部門的人數 select post,count(id) from emp group by post; ## 3.查詢分組之后的部門名稱和每個部門下所有學生姓名 ## group_concat(分組之后用)不僅可以用來顯示除分組外字段還有拼接字符串的作用 select post,group_concat(name) from emp group by post; select post,group_concat(name,"_SB") from emp group by post; select post,group_concat(name,":") from emp group by post; select post,group_concat(salary) from emp group by post; ## 4.補充concat(不分組是用)拼接字符串達到更好的顯示效果 as語法使用 select name as 姓名,salary as 薪資 from emp; select concat("NAME:",name) as 姓名,concat("SAL:",salary) as 薪資 from emp; ## 補充 as 語法,即可以給字段起別名也可以給表起 select emp.id,emp.name from emp as t1; # 報錯 因為表名已經被你改成了t1 select t1.id,t1.name from emp as t1; ## 查詢四則運算 ## 查詢每個人的年薪 select name,salary*12 as annual_salary from emp; select name,salary*12 annual_salary from emp; # as可以省略 4. having select 查詢字段1,查詢字段2,... from 表名 where 過濾條件 group by分組依據 ## 語法這么寫,但是執行順序卻不一樣 from where group by select 5. distinct 1. 對有重復的展示數據進行去重操作 ```select distinct post from emp;``` 6. order by 1. 默認升序排 ```select * from emp order by salary asc; ``` 2. 降序排 ```select * from emp order by salary desc;``` 3. 先按照age降序排,在年輕相同的情況下再按照薪資升序排 ```select * from emp order by age desc,salary asc;``` 4. 統計各部門年齡在10歲以上的員工平均工資,并且保留平均工資大于1000的部門,然后對平均工資進行排序 ```select post,avg(salary) from emp where age > 10 group by post having avg(salary) > 1000 order by avg(salary) ;``` 7. limit 1. 限制展示條數 ```select * from emp limit 3; ``` 2. 查詢工資最高的人的詳細信息 ```select * from emp order by salary desc limit 1; ``` 3. 分頁顯示 ```select * from emp limit 0,5;``` 8. 正則 regexp 命令:``select * from emp where name regexp '^j.\*(n|y)$'; ``` 9. 練習 ## 剛開始查詢表,一定要按照最基本的步驟,先確定是哪張表,再確定查這張表也沒有限制條件,再確定是否需要分類,最后再確定需要什么字段對應的信息 1. 查詢崗位名以及崗位包含的所有員工名字 2. 查詢崗位名以及各崗位內包含的員工個數 3. 查詢公司內男員工和女員工的個數 4. 查詢崗位名以及各崗位的平均薪資 5. 查詢崗位名以及各崗位的最高薪資 6. 查詢崗位名以及各崗位的最低薪資 7. 查詢男員工與男員工的平均薪資,女員工與女員工的平均薪資 """ 參考答案: select post,group_concat(name) from emp group by post; select post,count(id) from emp group by post; select sex,count(id) from employee group by sex; select post,avg(salary) from emp group by post; select post,max(salary) from employee group by post; select post,min(salary) from employee group by post; select sex,avg(salary) from employee group by sex; """ ## 關鍵字where group by同時出現的情況下,group by必須在where之后 ## where先對整張表進行一次篩選,如何group by再對篩選過后的表進行分組 ## 如何驗證where是在group by之前執行而不是之后 利用聚合函數 因為聚合函數只能在分組之后才能使用 select id,name,age from emp where max(salary) > 3000; # 報錯! select max(salary) from emp; ## 正常運行,不分組意味著每一個人都是一組,等運行到max(salary)的時候已經經過where,group by操作了,只不過我們都沒有寫這些條件 ## 語法順序 select from where group by ## 再識執行順序 from where group by select 8、統計各部門年齡在30歲以上的員工平均工資 select post,avg(salary) from emp where age > 30 group by post; ## 對where過濾出來的虛擬表進行一個分組 ## 還不明白可以分步執行查看結構 select * from emp where age>30; ## 基于上面的虛擬表進行分組 select * from emp where age>=30 group by post;
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