Java初學者必看的基礎SQL查詢語句

Java是一種面向對象的跨平臺編程語言,下面小編整理了Java初學者必看的基礎SQL查詢語句,希望對大家有幫助!

Java初學者必看的基礎SQL查詢語句

 1、創建表和數據插入SQL

我們在開始創建數據表和向表中插入演示數據之前,我想給大家解釋一下實時數據表的設計理念,這樣也許能幫助大家能更好的理解SQL查詢。

在數據庫設計中,有一條非常重要的規則就是要正確建立主鍵和外鍵的關係。

現在我們來創建幾個餐廳訂單管理的`數據表,一共用到3張數據表,Item Master表、Order Master表和Order Detail表。

創建表:

創建Item Master表:

CREATE TABLE [dbo].[ItemMasters](

[Item_Code] [varchar](20) NOT NULL,

[Item_Name] [varchar](100) NOT NULL,

[Price] Int NOT NULL,

[TAX1] Int NOT NULL,

[Discount] Int NOT NULL,

[Description] [varchar](200) NOT NULL,

[IN_DATE] [datetime] NOT NULL,

[IN_USR_ID] [varchar](20) NOT NULL,

[UP_DATE] [datetime] NOT NULL,

[UP_USR_ID] [varchar](20) NOT NULL,

CONSTRAINT [PK_ItemMasters] PRIMARY KEY CLUSTERED

(

[Item_Code] ASC

)WITH (PAD_INDEX = OFF, STATISTICS_NORECOMPUTE = OFF, IGNORE_DUP_KEY = OFF, ALLOW_ROW_LOCKS = ON, ALLOW_PAGE_LOCKS = ON) ON [PRIMARY]

) ON [PRIMARY]

向Item Master表插入數據:

INSERT INTO [ItemMasters] ([Item_Code],[Item_Name],[Price],[TAX1],[Discount],[Description],[IN_DATE]

,[IN_USR_ID],[UP_DATE],[UP_USR_ID])

VALUES

('Item001','Coke',55,1,0,'Coke which need to be cold',GETDATE(),'SHANU'

,GETDATE(),'SHANU')

INSERT INTO [ItemMasters] ([Item_Code],[Item_Name],[Price],[TAX1],[Discount],[Description],[IN_DATE]

,[IN_USR_ID],[UP_DATE],[UP_USR_ID])

VALUES

('Item002','Coffee',40,0,2,'Coffe Might be Hot or Cold user choice',GETDATE(),'SHANU'

,GETDATE(),'SHANU')

INSERT INTO [ItemMasters] ([Item_Code],[Item_Name],[Price],[TAX1],[Discount],[Description],[IN_DATE]

,[IN_USR_ID],[UP_DATE],[UP_USR_ID])

VALUES

('Item003','Chiken Burger',125,2,5,'Spicy',GETDATE(),'SHANU'

,GETDATE(),'SHANU')

INSERT INTO [ItemMasters] ([Item_Code],[Item_Name],[Price],[TAX1],[Discount],[Description],[IN_DATE]

,[IN_USR_ID],[UP_DATE],[UP_USR_ID])

VALUES

('Item004','Potato Fry',15,0,0,'No Comments',GETDATE(),'SHANU'

,GETDATE(),'SHANU')

創建Order Master表:

CREATE TABLE [dbo].[OrderMasters](

[Order_No] [varchar](20) NOT NULL,

[Table_ID] [varchar](20) NOT NULL,

[Description] [varchar](200) NOT NULL,

[IN_DATE] [datetime] NOT NULL,

[IN_USR_ID] [varchar](20) NOT NULL,

[UP_DATE] [datetime] NOT NULL,

[UP_USR_ID] [varchar](20) NOT NULL,

CONSTRAINT [PK_OrderMasters] PRIMARY KEY CLUSTERED

(

[Order_No] ASC

)WITH (PAD_INDEX = OFF, STATISTICS_NORECOMPUTE = OFF, IGNORE_DUP_KEY = OFF, ALLOW_ROW_LOCKS = ON, ALLOW_PAGE_LOCKS = ON) ON [PRIMARY]

) ON [PRIMARY]

向Order Master表插入數據:

INSERT INTO [OrderMasters]

([Order_No],[Table_ID] ,[Description],[IN_DATE],[IN_USR_ID],[UP_DATE],[UP_USR_ID])

VALUES

('Ord_001','T1','',GETDATE(),'SHANU' ,GETDATE(),'SHANU')

INSERT INTO [OrderMasters]

([Order_No],[Table_ID] ,[Description],[IN_DATE],[IN_USR_ID],[UP_DATE],[UP_USR_ID])

VALUES

('Ord_002','T2','',GETDATE(),'Mak' ,GETDATE(),'MAK')

INSERT INTO [OrderMasters]

([Order_No],[Table_ID] ,[Description],[IN_DATE],[IN_USR_ID],[UP_DATE],[UP_USR_ID])

VALUES

('Ord_003','T3','',GETDATE(),'RAJ' ,GETDATE(),'RAJ')

創建Order Detail表:

CREATE TABLE [dbo].[OrderDetails](

[Order_Detail_No] [varchar](20) NOT NULL,

[Order_No] [varchar](20) CONSTRAINT fk_OrderMasters FOREIGN KEY REFERENCES OrderMasters(Order_No),

[Item_Code] [varchar](20) CONSTRAINT fk_ItemMasters FOREIGN KEY REFERENCES ItemMasters(Item_Code),

[Notes] [varchar](200) NOT NULL,

[QTY] INT NOT NULL,

[IN_DATE] [datetime] NOT NULL,

[IN_USR_ID] [varchar](20) NOT NULL,

[UP_DATE] [datetime] NOT NULL,

[UP_USR_ID] [varchar](20) NOT NULL,

CONSTRAINT [PK_OrderDetails] PRIMARY KEY CLUSTERED

(

[Order_Detail_No] ASC

)WITH (PAD_INDEX = OFF, STATISTICS_NORECOMPUTE = OFF, IGNORE_DUP_KEY = OFF, ALLOW_ROW_LOCKS = ON, ALLOW_PAGE_LOCKS = ON) ON [PRIMARY]

) ON [PRIMARY]

--Now let’s the 3 items for the above Order No 'Ord_001'.

INSERT INTO [OrderDetails]

([Order_Detail_No],[Order_No],[Item_Code],[Notes],[QTY]

,[IN_DATE],[IN_USR_ID],[UP_DATE],[UP_USR_ID])

VALUES

('OR_Dt_001','Ord_001','Item001','Need very Cold',3

,GETDATE(),'SHANU' ,GETDATE(),'SHANU')

INSERT INTO [OrderDetails]

([Order_Detail_No],[Order_No],[Item_Code],[Notes],[QTY]

,[IN_DATE],[IN_USR_ID],[UP_DATE],[UP_USR_ID])

VALUES

('OR_Dt_002','Ord_001','Item004','very Hot ',2

,GETDATE(),'SHANU' ,GETDATE(),'SHANU')

INSERT INTO [OrderDetails]

([Order_Detail_No],[Order_No],[Item_Code],[Notes],[QTY]

,[IN_DATE],[IN_USR_ID],[UP_DATE],[UP_USR_ID])

VALUES

('OR_Dt_003','Ord_001','Item003','Very Spicy',4

,GETDATE(),'SHANU' ,GETDATE(),'SHANU')

向Order Detail表插入數據:

INSERT INTO [OrderDetails]

([Order_Detail_No],[Order_No],[Item_Code],[Notes],[QTY]

,[IN_DATE],[IN_USR_ID],[UP_DATE],[UP_USR_ID])

VALUES

('OR_Dt_004','Ord_002','Item002','Need very Hot',2

,GETDATE(),'SHANU' ,GETDATE(),'SHANU')

INSERT INTO [OrderDetails]

([Order_Detail_No],[Order_No],[Item_Code],[Notes],[QTY]

,[IN_DATE],[IN_USR_ID],[UP_DATE],[UP_USR_ID])

VALUES

('OR_Dt_005','Ord_002','Item003','very Hot ',2

,GETDATE(),'SHANU' ,GETDATE(),'SHANU')

INSERT INTO [OrderDetails]

([Order_Detail_No],[Order_No],[Item_Code],[Notes],[QTY]

,[IN_DATE],[IN_USR_ID],[UP_DATE],[UP_USR_ID])

VALUES

('OR_Dt_006','Ord_003','Item003','Very Spicy',4

,GETDATE(),'SHANU' ,GETDATE(),'SHANU')

  2、簡單的Select查詢語句

Select查詢語句是SQL中最基本也是最重要的DML語句之一。那麼什麼是DML?DML全稱Data Manipulation Language(數據操縱語言命令),它可以使用戶能夠查詢數據庫以及操作已有數據庫中的數據。

下面我們在SQL Server中用select語句來查詢我的姓名(Name):

SELECT 'My Name Is SYED SHANU'

-- With Column Name using 'AS'

SELECT 'My Name Is SYED SHANU' as 'MY NAME'

-- With more then the one Column

SELECT 'My Name' as 'Column1', 'Is' as 'Column2', 'SYED SHANU' as 'Column3'

在數據表中使用select查詢:

-- To Display all the columns from the table we use * operator in select Statement.

Select * from ItemMasters

-- If we need to select only few fields from a table we can use the Column Name in Select Statement.

Select Item_Code

,Item_name as Item

,Price

,Description

,In_DATE

FROM

ItemMasters

  3、合計和標量函數

合計函數和標量函數都是SQL Server的內置函數,我們可以在select查詢語句中使用它們,比如Count(), Max(), Sum(), Upper(), lower(), Round()等等。下面我們用SQL代碼來解釋這些函數的用法:

select * from ItemMasters

-- Aggregate

-- COUNT() -> returns the Total no of records from table , AVG() returns the Average Value from Colum,MAX() Returns MaX Value from Column

-- ,MIN() returns Min Value from Column,SUM() sum of total from Column

Select Count(*) TotalRows,AVG(Price) AVGPrice

,MAX(Price) MAXPrice,MIN(Price) MinPrice,Sum(price) PriceTotal

FROM ItemMasters

-- Scalar

-- UCASE() -> Convert to Upper Case ,LCASE() -> Convert to Lower Case,

-- SUBSTRING() ->Display selected char from column ->SUBSTRING(ColumnName,StartIndex,LenthofChartoDisplay)

--,LEN() -> lenth of column date,

-- ROUND() -> Which will round the value

SELECT UPPER(Item_NAME) Uppers,LOWER(Item_NAME) Lowers,

SUBSTRING(Item_NAME,2,3) MidValue,LEN(Item_NAME) Lenths

,SUBSTRING(Item_NAME,2,LEN(Item_NAME)) MidValuewithLenFunction,

ROUND(Price,0) as Rounded

FROM ItemMasters

 4、日期函數

在我們的項目數據表中基本都會使用到日期列,因此日期函數在項目中扮演着非常重要的角色。有時候我們對日期函數要非常的小心,它隨時可以給你帶來巨大的麻煩。在項目中,我們要選擇合適的日期函數和日期格式,下面是一些SQL日期函數的例子:

-- GETDATE() -> to Display the Current Date and Time

-- Format() -> used to display our date in our requested format

Select GETDATE() CurrentDateTime, FORMAT(GETDATE(),'yyyy-MM-dd') AS DateFormats,

FORMAT(GETDATE(),'HH-mm-ss')TimeFormats,

CONVERT(VARCHAR(10),GETDATE(),10) Converts1,

CONVERT(VARCHAR(24),GETDATE(),113),

CONVERT(NVARCHAR, getdate(), 106) Converts2 ,-- here we used Convert Function

REPLACE(convert(NVARCHAR, getdate(), 106), ' ', '/') Formats-- Here we used replace and --convert functions.

--first we convert the date to nvarchar and then we replace the '' with '/'

select * from Itemmasters

Select ITEM_NAME,IN_DATE CurrentDateTime, FORMAT(IN_DATE,'yyyy-MM-dd') AS DateFormats,

FORMAT(IN_DATE,'HH-mm-ss')TimeFormats,

CONVERT(VARCHAR(10),IN_DATE,10) Converts1,

CONVERT(VARCHAR(24),IN_DATE,113),

convert(NVARCHAR, IN_DATE, 106) Converts2 ,-- here we used Convert Function

REPLACE(convert(NVARCHAR,IN_DATE, 106), ' ', '/') Formats

FROM Itemmasters

DatePart –> 該函數可以獲取年、月、日的信息。

DateADD –> 該函數可以對當前的日期進行加減。

DateDiff –> 該函數可以比較2個日期。

--Datepart DATEPART(dateparttype,yourDate)

SELECT DATEPART(yyyy,getdate()) AS YEARs ,

DATEPART(mm,getdate()) AS MONTHS,

DATEPART(dd,getdate()) AS Days,

DATEPART(week,getdate()) AS weeks,

DATEPART(hour,getdate()) AS hours

--Days Add to add or subdtract date from a selected date.

SELECT GetDate()CurrentDate,DATEADD(day,12,getdate()) AS AddDays ,

DATEADD(day,-4,getdate()) AS FourDaysBeforeDate

-- DATEDIFF() -> to display the Days between 2 dates

select DATEDIFF(year,'2003-08-05',getdate()) yearDifferance ,

DATEDIFF(day,DATEADD(day,-24,getdate()),getdate()) daysDifferent,

DATEDIFF(month,getdate(),DATEADD(Month,6,getdate())) MonthDifferance

 5、其他Select函數

Top —— 結合select語句,Top函數可以查詢頭幾條和末幾條的數據記錄。

Order By —— 結合select語句,Order By可以讓查詢結果按某個字段正序和逆序輸出數據記錄。

--Top to Select Top first and last records using Select Statement.

Select * FROM ItemMasters

--> First Display top 2 Records

Select TOP 2 Item_Code

,Item_name as Item

,Price

,Description

,In_DATE

FROM ItemMasters

--> to Display the Last to Records we need to use the Order By Clause

-- order By to display Records in assending or desending order by the columns

Select TOP 2 Item_Code

,Item_name as Item

,Price

,Description

,In_DATE

FROM ItemMasters

ORDER BY Item_Code DESC

Distinct —— distinct關鍵字可以過濾重複的數據記錄。

Select * FROM ItemMasters

--Distinct -> To avoid the Duplicate records we use the distinct in select statement

-- for example in this table we can see here we have the duplicate record 'Chiken Burger'

-- but with different Item_Code when i use the below select statement see what happen

Select Item_name as Item

,Price

,Description

,IN_USR_ID

FROM ItemMasters

-- here we can see the Row No 3 and 5 have the duplicate record to avoid this we use the distinct Keyword in select statement.

select Distinct Item_name as Item

,Price

,Description

,IN_USR_ID

FROM ItemMasters

  6、Where子句

Where子句在SQL Select查詢語句中非常重要,爲什麼要使用where子句?什麼時候使用where子句?where子句是利用一些條件來過濾數據結果集。

下面我們從10000條數據記錄中查詢Order_No爲某個值或者某個區間的數據記錄,另外還有其他的條件。

Select * from ItemMasters

Select * from OrderDetails

--Where -> To display the data with certain conditions

-- Now below example which will display all the records which has Item_Name='Coke'

select * FROM ItemMasters WHERE ITEM_NAME='COKE'

-- If we want display all the records Iten_Name which Starts with 'C' then we use Like in where clause.

SELECT * FROM ItemMasters WHERE ITEM_NAME Like 'C%'

--> here we display the ItemMasters where the price will be greater then or equal to 40.

--> to use more then one condition we can Use And or Or operator.

--If we want to check the data between to date range then we can use Between Operator in Where Clause.

select Item_name as Item

,Price

,Description

,IN_USR_ID

FROM ItemMasters

WHERE

ITEM_NAME Like 'C%'

AND

price >=40

--> here we display the OrderDetails where the Qty will be greater 3

Select * FROM OrderDetails WHERE qty>3

Where – In 子句

-- In clause -> used to display the data which is in the condition

select *

FROM ItemMasters

WHERE

Item_name IN ('Coffee','Chiken Burger')

-- In clause with Order By - Here we display the in descending order.

select *

FROM ItemMasters

WHERE

Item_name IN ('Coffee','Chiken Burger')

ORDER BY Item_Code Desc

Where – Between子句

-- between -> Now if we want to display the data between to date range then we use betweeen keyword

select * FROM ItemMasters

select * FROM ItemMasters

WHERE

In_Date BETWEEN '2014-09-22 15:59:02.853' AND '2014-09-22 15:59:02.853'

select * FROM ItemMasters

WHERE

ITEM_NAME Like 'C%'

AND

In_Date BETWEEN '2014-09-22 15:59:02.853' AND '2014-09-22 15:59:02.853'

查詢某個條件區間的數據,我們常常使用between子句。

 7、Group By 子句

Group By子句可以對查詢的結果集按指定字段分組:

--Group By -> To display the data with group we can see we display all the AQggregate result by Item Name

Select ITEM_NAME,Count(*) TotalRows,AVG(Price) AVGPrice

,MAX(Price) MAXPrice,MIN(Price) MinPrice,Sum(price) PriceTotal

FROM

ItemMasters

GROUP BY ITEM_NAME

-- Here this group by will combine all the same Order_No result and make the total or each order_NO

Select Order_NO,Sum(QTy) as TotalQTY

FROM OrderDetails

where qty>=2

GROUP BY Order_NO

-- Here the Total will be created by order_No and Item_Code

Select Order_NO,Item_Code,Sum(QTy) as TotalQTY

FROM OrderDetails

where qty>=2

GROUP BY Order_NO,Item_Code

Order By Order_NO Desc,Item_Code

Group By & Having 子句

--Group By Clause -- here this will display all the Order_no

Select Order_NO,Sum(QTy) as TotalQTY

FROM OrderDetails

GROUP BY Order_NO

-- Having Clause-- This will avoid the the sum(qty) less then 4

Select Order_NO,Sum(QTy) as TotalQTY

FROM OrderDetails

GROUP BY Order_NO

HAVING Sum(QTy) >4

 8、子查詢

子查詢一般出現在where內連接查詢和嵌套查詢中,select、update和語句中均可以使用。

--Sub Query -- Here we used the Sub query in where clause to get all the Item_Code where the price>40 now this sub

--query reslut we used in our main query to filter all the records which Item_code from Subquery result

SELECT * FROM ItemMasters

WHERE Item_Code IN

(SELECT Item_Code FROM ItemMasters WHERE price > 40)

-- Sub Query with Insert Statement

INSERT INTO ItemMasters ([Item_Code] ,[Item_Name],[Price],[TAX1],[Discount],[Description],[IN_DATE]

,[IN_USR_ID],[UP_DATE] ,[UP_USR_ID])

Select 'Item006'

,Item_Name,Price+4,TAX1,Discount,Description

,GetDate(),'SHANU',GetDate(),'SHANU'

from ItemMasters

where Item_code='Item002'

--After we can see the result as

Select * from ItemMasters

9、公用表表達式(CTE)----With語句

CTE可以看作是一個臨時的結果集,可以在接下來的一個SELECT,INSERT,UPDATE,DELETE,MERGE語句中被多次引用。使用公用表達式可以讓語句更加清晰簡練。

declare @sDate datetime,

@eDate datetime;

select @sDate = getdate()-5,

@eDate = getdate()+16;

--select @sDate StartDate,@eDate EndDate

;with cte as

(

select @sDate StartDate,'W'+convert(var2),

DATEPART( wk, @sDate))+'('+convert(var2),@sDate,106)+')' as 'SDT'

union all

select dateadd(DAY, 1, StartDate) ,

'W'+convert(var2),DATEPART( wk, StartDate))+'('+convert(var2),

dateadd(DAY, 1, StartDate),106)+')' as 'SDT'

FROM cte

WHERE dateadd(DAY, 1, StartDate)<= @eDate

)

select * from cte

option (maxrecursion 0)

 10、視圖

很多人對視圖View感到很沮喪,因爲它看起來跟select語句沒什麼區別。在視圖中我們同樣可以使用select查詢語句,但是視圖對我們來說依然非常重要。

假設我們要聯合查詢4張表中的20幾個字段,那麼這個select查詢語句會非常複雜。但是這樣的語句我們在很多地方都需要用到,如果將它編寫成視圖,那麼使用起來會方便很多。利用視圖查詢有以下幾個優點:

一定程度上提高查詢速度

可以對一些字段根據不同的權限進行屏蔽,因此提高了安全性

對多表的連接查詢會非常方便

下面是一個視圖的代碼例子:

CREATE

VIEW viewname

AS

Select ColumNames from yourTable

Example :

-- Here we create view for our Union ALL example

Create

VIEW myUnionVIEW

AS

SELECT r_NO,e_ID,r_detail_no,_Name,s,,e,

e* as TotalPrice

FROM

Ordermasters as M Inner JOIN OrderDetails as D

ON r_NO=r_NO INNER JOIN ItemMasters as I

ON _Code=_Code WHERE e <=44

Union ALL

SELECT r_NO,e_ID,r_detail_no,_Name,s,,e,

e* as TotalPrice

FROM

Ordermasters as M Inner JOIN OrderDetails as D

ON r_NO=r_NO INNER JOIN ItemMasters as I

ON _Code=_Code WHERE e>44

-- View Select query

Select * from myUnionVIEW

-- We can also use the View to display with where condition and with selected fields

Select order_Detail_NO,Table_ID,Item_Name,Price from myUnionVIEW where price >40