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SQLite 入门教程(四)增删改查,有讲究

發(fā)布時(shí)間:2024/9/5 32 豆豆
生活随笔 收集整理的這篇文章主要介紹了 SQLite 入门教程(四)增删改查,有讲究 小編覺(jué)得挺不錯(cuò)的,現(xiàn)在分享給大家,幫大家做個(gè)參考.

增刪改查操作,其中增刪改操作被稱為數(shù)據(jù)操作語(yǔ)言 DML,相對(duì)來(lái)說(shuō)簡(jiǎn)單一點(diǎn)。 查操作相對(duì)來(lái)說(shuō)復(fù)雜一點(diǎn),涉及到很多子句,所以這篇先講增刪改操作,以例子為主,后面再講查操作。

一、插入數(shù)據(jù) INSERT INTO 表(列...) VALUES(值...)

根據(jù)前面幾篇的內(nèi)容,我們可以很輕送的創(chuàng)建一個(gè)數(shù)據(jù)表,并向其中插入一些數(shù)據(jù),不多說(shuō),看例子:

myqiao@ubuntu:~/My Documents/db$ sqlite3 test.db -- Loading resources from /home/myqiao/.sqliterc SQLite version 3.7.4 Enter ".help" for instructions Enter SQL statements terminated with a ";" sqlite> .tables sqlite> sqlite> CREATE TABLE Teachers(...> Id integer PRIMARY KEY,...> Name text NOT NULL,...> Age integer CHECK(Age>22),...> Country text DEFAULT 'USA'); sqlite> .tables Teachers sqlite> sqlite> INSERT INTO Teachers VALUES(1,'Alice',25,'CHN'); sqlite> INSERT INTO Teachers VALUES(2,'Bob',25,'BRA'); sqlite> INSERT INTO Teachers(Id,Name,Age,Country) VALUES(3,'Charls',33,'USA'); sqlite> INSERT INTO Teachers(Name,Age) VALUES('Jhon',43); sqlite> SELECT * FROM Teachers; Id Name Age Country ---- --------------- --------------- --------------- 1 Alice 25 CHN 2 Bob 25 BRA 3 Charls 33 USA 4 Jhon 43 USA sqlite>

很簡(jiǎn)單,創(chuàng)建了一個(gè) Teachers 表并向其中添加了四條數(shù)據(jù),設(shè)定了一些約束,其中有自動(dòng)增加的主鍵、默認(rèn)值等等。

二、修改數(shù)據(jù) UPDATE 表 SET 列 = '新值' 【W(wǎng)HERE 條件語(yǔ)句】

UPDATE 語(yǔ)句用來(lái)更新表中的某個(gè)列,如果不設(shè)定條件,則所有記錄的這一列都被更新; 如果設(shè)定了條件,則符合條件的記錄的這一列被更新, WHERE 子句被用來(lái)設(shè)定條件,如下例:

sqlite> sqlite> SELECT * FROM Teachers; Id Name Age Country ---- --------------- --------------- --------------- 1 Alice 25 CHN 2 Bob 25 BRA 3 Charls 33 USA 4 Jhon 43 USA sqlite> sqlite> sqlite> UPDATE Teachers SET Country='China'; sqlite> SELECT * FROM Teachers; Id Name Age Country ---- --------------- --------------- --------------- 1 Alice 25 China 2 Bob 25 China 3 Charls 33 China 4 Jhon 43 China sqlite> sqlite> sqlite> UPDATE Teachers SET Country='America' WHERE Id=3; sqlite> SELECT * FROM Teachers; Id Name Age Country ---- --------------- --------------- --------------- 1 Alice 25 China 2 Bob 25 China 3 Charls 33 America 4 Jhon 43 China sqlite> sqlite> sqlite> UPDATE Teachers SET Country='India' WHERE Age<30; sqlite> SELECT * FROM Teachers; Id Name Age Country ---- --------------- --------------- --------------- 1 Alice 25 India 2 Bob 25 India 3 Charls 33 America 4 Jhon 43 China sqlite>

三、刪除數(shù)據(jù) DELETE FROM 表 【W(wǎng)HERE 條件語(yǔ)句】

如果設(shè)定 WHERE 條件子句,則刪除符合條件的數(shù)據(jù)記錄;如果沒(méi)有設(shè)定條件語(yǔ)句,則刪除所有記錄

sqlite> sqlite> SELECT * FROM Teachers; Id Name Age Country ---- --------------- --------------- --------------- 1 Alice 25 India 2 Bob 25 India 3 Charls 33 America 4 Jhon 43 China sqlite> sqlite> sqlite> DELETE FROM Teachers WHERE Age>30; sqlite> SELECT * FROM Teachers; Id Name Age Country ---- --------------- --------------- --------------- 1 Alice 25 India 2 Bob 25 India sqlite> sqlite> sqlite> DELETE FROM Teachers; sqlite> SELECT * FROM Teachers; sqlite>

四、查找數(shù)據(jù) SELECT 列... FROM 表

為了后面的練習(xí),需要一些樣本數(shù)據(jù)。 首先將下面的 SQL 語(yǔ)句保存到 data.sql 文件中

BEGIN?TRANSACTION;
CREATE?TABLE?Cars(Id?integer?PRIMARY?KEY,?Name?text,?Cost?integer);
INSERT?INTO?Cars?VALUES(1,'Audi',52642);
INSERT?INTO?Cars?VALUES(2,'Mercedes',57127);
INSERT?INTO?Cars?VALUES(3,'Skoda',9000);
INSERT?INTO?Cars?VALUES(4,'Volvo',29000);
INSERT?INTO?Cars?VALUES(5,'Bentley',350000);
INSERT?INTO?Cars?VALUES(6,'Citroen',21000);
INSERT?INTO?Cars?VALUES(7,'Hummer',41400);
INSERT?INTO?Cars?VALUES(8,'Volkswagen',21600);
COMMIT;



BEGIN?TRANSACTION;
CREATE?TABLE?Orders(Id?integer?PRIMARY?KEY,?OrderPrice?integer?CHECK(OrderPrice>0),?
????????????????????Customer?
text);
INSERT?INTO?Orders(OrderPrice,?Customer)?VALUES(1200,?"Williamson");
INSERT?INTO?Orders(OrderPrice,?Customer)?VALUES(200,?"Robertson");
INSERT?INTO?Orders(OrderPrice,?Customer)?VALUES(40,?"Robertson");
INSERT?INTO?Orders(OrderPrice,?Customer)?VALUES(1640,?"Smith");
INSERT?INTO?Orders(OrderPrice,?Customer)?VALUES(100,?"Robertson");
INSERT?INTO?Orders(OrderPrice,?Customer)?VALUES(50,?"Williamson");
INSERT?INTO?Orders(OrderPrice,?Customer)?VALUES(150,?"Smith");
INSERT?INTO?Orders(OrderPrice,?Customer)?VALUES(250,?"Smith");
INSERT?INTO?Orders(OrderPrice,?Customer)?VALUES(840,?"Brown");
INSERT?INTO?Orders(OrderPrice,?Customer)?VALUES(440,?"Black");
INSERT?INTO?Orders(OrderPrice,?Customer)?VALUES(20,?"Brown");
COMMIT;

然后在在終端執(zhí)行命令 .read data.sql,將數(shù)據(jù)導(dǎo)入到數(shù)據(jù)庫(kù)中

sqlite> sqlite> .tables Friends sqlite> .read data.sql sqlite> .tables Cars Orders Teachers sqlite>

可以看到,Cars 表和 Orders 表已經(jīng)導(dǎo)入到數(shù)據(jù)庫(kù)中,現(xiàn)在可以查詢了

sqlite> sqlite> SELECT * FROM Cars; Id Name Cost ---- --------------- --------------- 1 Audi 52642 2 Mercedes 57127 3 Skoda 9000 4 Volvo 29000 5 Bentley 350000 6 Citroen 21000 7 Hummer 41400 8 Volkswagen 21600 sqlite> SELECT * FROM Orders; Id OrderPrice Customer ---- --------------- --------------- 1 1200 Williamson 2 200 Robertson 3 40 Robertson 4 1640 Smith 5 100 Robertson 6 50 Williamson 7 150 Smith 8 250 Smith 9 840 Brown 10 440 Black 11 20 Brown sqlite>

五、 限制返回?cái)?shù)量 SELECT 列... FROM 表 LIMIT 數(shù)量 OFFSET 位置

有時(shí)候數(shù)據(jù)庫(kù)中的數(shù)據(jù)太多,全部返回可不行,可以限制返回的數(shù)量,還可以設(shè)定返回的起始位置,如下:

sqlite> sqlite> SELECT * FROM Cars LIMIT 4; Id Name Cost ---- --------------- --------------- 1 Audi 52642 2 Mercedes 57127 3 Skoda 9000 4 Volvo 29000 sqlite> sqlite> SELECT * FROM Cars LIMIT 4 OFFSET 2; Id Name Cost ---- --------------- --------------- 3 Skoda 9000 4 Volvo 29000 5 Bentley 350000 6 Citroen 21000 sqlite>

六、 別名 SELECT 列 AS 別名,列 AS 別名 FROM

我們可以給返回?cái)?shù)據(jù)集中的某些列起一個(gè)比較直觀的名字,比如把 Cost 改為"Price Of Car"

sqlite> sqlite> SELECT Name , Cost AS 'Price Of Car' FROM Cars; Name Price Of Car ---- --------------- Audi 52642 Merc 57127 Skod 9000 Volv 29000 Bent 350000 Citr 21000 Humm 41400 Volk 21600 sqlite>

七、 條件查詢 SELECT 列 FROM 表 【W(wǎng)HERE 條件語(yǔ)句】

一般的條件語(yǔ)句都是大于、小于、等于之類的,這里有幾個(gè)特別的條件語(yǔ)句

LIKE


  • LIKE 用通配符匹配字符串
  • 下劃線 _ 匹配一個(gè)字符串
  • 百分號(hào) % 匹配多個(gè)字符串
  • LIKE 匹配字符串時(shí)不區(qū)分大小寫
sqlite> sqlite> SELECT * FROM Cars WHERE Name Like '____'; Id Name Cost ---- --------------- --------------- 1 Audi 52642 sqlite> sqlite> SELECT * FROM Cars WHERE Name Like '%en'; Id Name Cost ---- --------------- --------------- 6 Citroen 21000 8 Volkswagen 21600 sqlite> sqlite> SELECT * FROM Cars WHERE Name Like '%EN'; Id Name Cost ---- --------------- --------------- 6 Citroen 21000 8 Volkswagen 21600 sqlite>

GLOB


  • GLOB 用通配符匹配字符串
  • 下劃線 ? 匹配一個(gè)字符串
  • 百分號(hào) * 匹配多個(gè)字符串
  • LIKE 匹配字符串時(shí),區(qū)分大小寫

BETWEEN 值1 AND 值2


返回兩個(gè)值之間的數(shù)據(jù)集合。下面的語(yǔ)句查詢價(jià)格在 20000 到 55000 之間的車,都是好車啊。

sqlite> sqlite> SELECT * FROM Cars WHERE Cost BETWEEN 20000 AND 55000; Id Name Cost ---- --------------- --------------- 1 Audi 52642 4 Volvo 29000 6 Citroen 21000 7 Hummer 41400 8 Volkswagen 21600 sqlite>

IN (集合)


對(duì)應(yīng)列的值必須在集合中。下面的語(yǔ)句查找?jiàn)W迪和悍馬的價(jià)格。

sqlite> sqlite> SELECT * FROM Cars WHERE Name IN ('Audi','Hummer'); Id Name Cost ---- --------------- --------------- 1 Audi 52642 7 Hummer 41400 sqlite>

八、 排序 ORDER BY 列 ASC (DESC)

指定某個(gè)列進(jìn)行排序,ASC 為升序,DESC 為降序。下面的語(yǔ)句查詢汽車品牌和價(jià)格,并以價(jià)格排序

sqlite> sqlite> SELECT Name, Cost FROM Cars ORDER BY Cost DESC; Name Cost ---- --------------- Bent 350000 Merc 57127 Audi 52642 Humm 41400 Volv 29000 Volk 21600 Citr 21000 Skod 9000 sqlite>

九、 區(qū)分 DISTINCT 列

有一些字段的值可能會(huì)出現(xiàn)重復(fù),比如訂單表中,一個(gè)客戶可能會(huì)有好幾份訂單,因此客戶的名字會(huì)重復(fù)出現(xiàn)。

到底有哪些客戶下了訂單呢?下面的語(yǔ)句將客戶名字區(qū)分出來(lái)。

sqlite> sqlite> Select * FROM Orders; Id OrderPrice Customer ---- --------------- --------------- 1 1200 Williamson 2 200 Robertson 3 40 Robertson 4 1640 Smith 5 100 Robertson 6 50 Williamson 7 150 Smith 8 250 Smith 9 840 Brown 10 440 Black 11 20 Brown sqlite> sqlite> SELECT DISTINCT Customer FROM ORDERS; Customer --------------- Black Brown Robertson Smith Williamson sqlite>

十、 分組 GROUP BY 列

分組和前面的區(qū)分有一點(diǎn)類似。區(qū)分僅僅是為了去掉重復(fù)項(xiàng),而分組是為了對(duì)各類不同項(xiàng)進(jìn)行統(tǒng)計(jì)計(jì)算。

比如上面的例子,我們區(qū)分出 5 個(gè)客戶,這 5 個(gè)客戶一共下了 11 個(gè)訂單,說(shuō)明很多客戶都下了不止一個(gè)訂單。

下面的語(yǔ)句統(tǒng)計(jì)每個(gè)客戶在訂單上總共花費(fèi)了多少錢。

sqlite> sqlite> SELECT sum(OrderPrice) AS Total, Customer FROM Orders GROUP BY Customer; Total Customer --------------- --------------- 440 Black 860 Brown 340 Robertson 2040 Smith 1250 Williamson sqlite>

這里 Sum 是 SQLite 內(nèi)置的統(tǒng)計(jì)函數(shù),在這個(gè)例子中用來(lái)求每個(gè)顧客的訂單價(jià)格的和。

統(tǒng)計(jì)結(jié)果也可以設(shè)定返回條件,但是不能用 WHERE 子句,而是用 HAVING 子句,如下例,返回訂單總額大于 1000 的顧客。

sqlite> sqlite> SELECT sum(OrderPrice) AS Total, Customer FROM Orders ...> GROUP BY Customer HAVING sum(OrderPrice)>1000; Total Customer --------------- --------------- 2040 Smith 1250 Williamson sqlite>

十一、 邏輯運(yùn)算符

有的查詢涉及的條件語(yǔ)句很復(fù)雜,是有好幾個(gè)條件語(yǔ)句經(jīng)過(guò)邏輯運(yùn)算得來(lái)的,一共有三種邏輯運(yùn)算符:

  • AND
  • OR
  • NOT

一般稍微了解點(diǎn)編程知識(shí)的應(yīng)該都沒(méi)問(wèn)題。


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