標籤:mysql
INSERT
一次插入一行或多行資料
文法:INSERT into [(欄位1,欄位2...)] VALUES (欄位1值,欄位2值...), (val21,...)INSERT INTO tbl_name (a,b,c) VALUES(1,2,3),(4,5,6),(7,8,9);如果有自動遞增屬性auto_increment,會以新插入的自動遞增項最後以起始。http://dev.mysql.com/doc/refman/5.5/en/insert.html
inser into test1 (id,name,sex) values (1,‘zhangshan‘,‘M‘);欄位與值要一一對應向表tb1中插入多條資料,具體含義同上,只不過是插入多條語句insert into tb1 (name,age) values(‘jerry‘,22),(‘naruto‘,28);也可以不指定欄位,表示對應每個欄位都會有插入的資料。insert into tb1 values (4,‘Sasuke‘,28),(5,‘hinata‘,25);
UPDATE
修改行資料
注意:一定要有限制條件,否則將修改所有行的指定欄位,會出生產事故的。
但是也有方法規避
mysql 用戶端啟動時 增加參數 --safe-updates 或 -U ,當然,也可以寫到[client]
使用限制條件WHERELIMIT
update test1 set sex=‘F‘ where sex=‘M‘;
全表更新
update test1 set sex=‘M‘;ERROR 1175 (HY000): You are using safe update mode and you tried to update a table without a WHERE that uses a KEY column
加入limit的更新
update test1 set sex=‘M‘ limit 1;Query OK, 1 row affected (0.52 sec)
加入where的更新
update test1 set sex=‘M‘ where id=2;Query OK, 1 row affected (0.01 sec)
DELETE
可先排序再指定刪除的行數
ORDER BY ...
限制行數
LIMIT
delete from test1 where id =1;從tb1表中找出age>30的資料行,然後將這些行按照age進行降序排列,排列後刪除第一個delete from tb1 where age > 30 order by age desc limit 1;
?注意:一定要有限制條件,否則將清空表中的所有資料
SELECT使用別名
欄位 as 欄位別名
WHERE子句:指明過濾條件以實現“選擇”的功能:
過濾條件:布爾型運算式算術操作符:+, -, *, /, %比較操作符:=, !=, <>, <=>, >, >=, <, <=BETWEEN min_num AND max_numIN (列表) 從tb1表中尋找出age等於22、23、24或25中的任意一個的行的所有資料 select * from tb1 where age in (22,23,24,25);NOT IN IS NULLIS NOT NULL
LIKE 與 RLIKE:
%: 任意長度的任一字元_:任意單個字元RLIKE:Regex,索引無效,不建議使用 select * from tb1 where name rlike ‘^t.*‘;REGEXP:匹配字串可用Regex書寫入模式,同上
邏輯操作符
NOTANDORXOR
order by 根據指定的欄位對查詢結果進行排序
升序:ASC 預設降序:DESCselect name,code2,indepyear from country where indepyear NOT in (1990,1800,1993) order by indepyear asc;如果多行之間的age欄位的值相同時,這些行再根據name欄位進行升序排序select * from tb1 order by age desc,name asc;把NULL排序到最後,在欄位名前用-,排序方法descorder by -indepyear desc
DISTINCT 去重查詢
查詢某欄位的時候去重,使用DISTINCT關鍵字表示去重查詢
select distinct indepyear from country order by indepyear desc;+-----------+| indepyear |+-----------+| 1994 || 1993 || 1992 || 1991 || 1990 |
查詢city表中的所有資料,如果表中的資料量巨大,一般不要這樣對資料進行查詢
select * from city;
從city表中查詢出所有資料,但是只顯示前3行
select * from city limit 3;+----+----------+-------------+----------+------------+| ID | Name | CountryCode | District | Population |+----+----------+-------------+----------+------------+| 1 | Kabul | AFG | Kabol | 1780000 || 2 | Qandahar | AFG | Qandahar | 237500 || 3 | Herat | AFG | Herat | 186800 |+----+----------+-------------+----------+------------+
從city表中查詢出資料,只顯示欄位name,district,countrycode資料,查詢匹配的條件為countrycode=‘AFG‘
select name,district,countrycode from city where countrycode=‘AFG‘;+----------------+----------+-------------+| name | district | countrycode |+----------------+----------+-------------+| Kabul | Kabol | AFG || Qandahar | Qandahar | AFG || Herat | Herat | AFG || Mazar-e-Sharif | Balkh | AFG |+----------------+----------+-------------+
從country表中查詢出資料,只顯示字name,code2,indepyear資料,查詢匹配的條件為indepyear > ‘1992‘
select name,code2,indepyear from country where indepyear > ‘1992‘;+----------------+-------+-----------+| name | code2 | indepyear |+----------------+-------+-----------+| Czech Republic | CZ | 1993 || Eritrea | ER | 1993 || Palau | PW | 1994 || Slovakia | SK | 1993 |+----------------+-------+-----------+
分組與彙總GROUP 分組的目的往往是對分組後的資料進行"彙總操作"
avg() 返回指定列的平均值max() 返回指定列的最大值min() 返回指定列的最小值count() 返回指定列中非null值的個數sum() 返回指定列的所有值之和select count(Language) from countrylanguage group by CountryCode limit 10;+-----------------+| count(Language) |+-----------------+| 4 || 5 || 9 || 1 || 3 || 4 |HAVING: 對分組彙總運算後的結果指定過濾條件select count(Language) from countrylanguage group by CountryCode having count(Language) > 5 limit 10;+-----------------+| count(Language) |+-----------------+| 9 || 8 || 8 || 6 || 7 || 6 || 7 || 6 || 12 || 12 |+-----------------+查詢students表,以性別為分組,求出分組後的年齡之和。select gender,sum(age) from students group by gender;查詢students表,以classid分組,顯示平均年齡大於25的classid。select classid,avg(age) as avgage from students group by classid having avgage > 25;查詢students表,以性別欄位gender分組,顯示各組中年齡大於19的學員的年齡的總和。select sum(age) from students where age > 19 group by gender;
mysql(四)-增刪改查