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            雪竹的天空

            theorix

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            1.數(shù)據(jù)類型:binary image char text datetime smalldatetime decimal 
            float real bigint money nchar 


            2.USE bookshopdb 
            CREATE TABLE Authors 
            ( AuthorID SMALLINT IDENTITY(101,1) NOT NULL, 
            FirstName VARCHAR(30) NOT NULL DEFAULT 'unknown',
            LastName VARCHAR(30) NOT NULL, 
            YearBorn CHAR(4) NOT NULL DEFAULT ' N/A ', 
            YearDied CHAR(4) NOT NULL DEFAULT ' N/A ', 
            Description VARCHAR(200) NOT NULL DEFAULT 'N/A' ) 
            CREATE TABLE BookAuthors 
            ( AuthorID SMALLINT NOT NULL, 
            TitleID CHAR(8) NOT NULL ) 
            CREATE TABLE BookCondition 
            ( ConditionID TINYINT NOT NULL, 
            ConditionName CHAR(10) NOT NULL, 
            Description VARCHAR(50) NOT NULL DEFAULT 'N/A' ) 


            3.sp_rename,sp_changeobjectowner,ALTER TABLE ,
            CREATE TABLE doc_exa ( column_a INT) 
            GO 
            ALTER TABLE doc_exa ADD column_b VARCHAR(20) NULL 
            GO 
            EXEC sp_help doc_exa 
            GO 
            DROP TABLE doc_exa 
            GO 
            CREATE TABLE cnst_example 
            ( id INT NOT NULL, 
            name VARCHAR(10) NOT NULL, 
            salary MONEY NOT NULL 
            CONSTRAINT salary_cap CHECK (salary < 100000) )
            --- INSERT INTO cnst_example VALUES (2,'Mary Smith',75000) 
            --- INSERT INTO cnst_example VALUES (3,'Pat Jones',105000)   
            ALTER TABLE cnst_example NOCHECK CONSTRAINT salary_cap 
            --- INSERT INTO cnst_example VALUES (3,'Pat Jones',105000) 


            4.Private Temporary Tables (#)
            Global Temporary Tables (##)

            CREATE TABLE #TEMP002(EID INT) GO
            INSERT INTO #TEMP002(EID) VALUES (3) GO
            SELECT * FROM #TEMP002 GO
            DROP TABLE #TEMP002 GO
            CREATE TABLE ##TEMP001(EID INT) 
            GO



            5.CREATE TABLE Table1
            ( Col1 INT PRIMARY KEY, 
            Col2 VARCHAR(30) ) 
            CREATE TABLE Table1 
            ( Col1 INT, 
            Col2 VARCHAR(30), 
            CONSTRAINT table_pk PRIMARY KEY (Col1) ) 
            ALTER TABLE Table1 
            ADD CONSTRAINT table_pk PRIMARY KEY (Col1) 

            6.UNIQUE Constraints 
            If a column (or combination of columns) is not the primary key.  Multiple UNIQUE 

            constraints can be defined on a table, whereas only one PRIMARY KEY constraint can be 

            defined on a table. 
             If a column allows null values.  UNIQUE constraints can be defined for columns that 

            allow null values, whereas PRIMARY KEY constraints can be defined only on columns that 

            do not allow null values. 


            7.

            CREATE TABLE Authors 
            ( AuthorID SMALLINT IDENTITY(101,1) NOT NULL, 
            FirstName VARCHAR(8) NOT NULL DEFAULT 'unknown')


            8.
            A foreign key is a column or combination of columns used to establish and enforce a 

            link between the data in two tables. 

            CREATE TABLE Table1 
            ( Col1 INT PRIMARY KEY, 
            Col2 INT REFERENCES Employees(EmployeeID) ) 

            CREATE TABLE Table1 
            ( Col1 INT PRIMARY KEY, 
            Col2 INT, 
            CONSTRAINT col2_fk FOREIGN KEY (Col2) 
            REFERENCES Employees (EmployeeID) ) 
            ALTER TABLE Table1 
            ADD CONSTRAINT col2_fk FOREIGN KEY (Col2) 
            REFERENCES Employees (EmployeeID) 

            9.
            CHECK Constraints 
            CHECK constraints enforce domain integrity by limiting the values that are 

            accepted by a column. 

            CREATE TABLE Table1 
            ( Col1 INT PRIMARY KEY, 
            Col2 INT CONSTRAINT limit_amount 
            CHECK (Col2 BETWEEN 0 AND 1000), 
            Col3 VARCHAR(30) ) 

            CREATE TABLE Table1 
            ( Col1 INT PRIMARY KEY, 
            Col2 INT, 
            Col3 VARCHAR(30), CONSTRAINT limit_amount 
            CHECK (Col2 BETWEEN 0 AND 1000) ) 

            ALTER TABLE Table1 ADD CONSTRAINT limit_amount 
            CHECK (Col2 BETWEEN 0 AND 1000) 

            10.
            SELECT select_list 
            [INTO new_table_name] 
            FROM table_list 
            [WHERE search_conditions] 
            [GROUP BY group_by_list] 
            [HAVING search_conditions] 
            [ORDER BY order_list [ASC | DESC] ]

            The DISTINCT Keyword: eliminates duplicate rows from a result set. 
            SELECT DISTINCT ShipCity, ShipRegion 
            FROM Orders 
            ORDER BY ShipCity 
            The TOP n Keyword: specifies that the first n rows of the result set are to be 

            returned. 
            SELECT DISTINCT TOP 10 ShipCity, ShipRegion 
            FROM Orders 
            ORDER BY ShipCity 
            The AS Keyword: You can improve the readability of a SELECT statement by giving a 

            table an alias 
            table_name AS table_alias  or table_name table_alias 
            SELECT p.pub_id, p.pub_name 
            FROM publishers AS p 
            Types of Information in the Select List:
            SELECT FirstName + ' ' + LastName AS "Employee Name",

            IDENTITYCOL AS "Employee ID", HomePhone, Region 
            FROM Northwind.dbo.Employees 
            ORDER BY LastName, FirstName ASC 
            11.
            % Any string of zero or more characters.
            _ Any single character.
            [ ] Any single character within the specified range (for example, [a-f]) or the 

            specified set (for example, [abcdef]).
            [^] Any single character not within the specified range (for example, [^a-f]) or 

            the specified set (for example, [^abcdef]).

            SELECT ContactName 
            FROM Customers 
            WHERE ContactName LIKE 'M[^a]%'

            12.
            SELECT ContactName 
            FROM dbo.Customers 
            WHERE ContactName LIKE 'M[^a]%'
            UNION ALL
            SELECT ContactName 
            FROM dbo.Customers 
            WHERE ContactName LIKE 'M[a-d]%'

            13.
            SELECT FirstName, LastName 
            INTO EmployeeNames 
            FROM Employers

            14.
            SELECT OrdD1.OrderID AS OrderID, 
            SUM(OrdD1.Quantity) AS "Units Sold", 
            SUM(OrdD1.UnitPrice * OrdD1.Quantity) AS Revenue

            FROM [Order Details] AS OrdD1 
            WHERE OrdD1.OrderID in 
            (SELECT DISTINCT OrdD2.OrderID 
            FROM [Order Details] AS OrdD2 
            WHERE OrdD2.UnitPrice > $100) 
            GROUP BY OrdD1.OrderID 
            HAVING SUM(OrdD1.Quantity) > 100 

            15.
            USE Pubs 
            SELECT Pub_id, Type, Title_id, Price 
            FROM Titles 
            ORDER BY Pub_id DESC, Type, Price 

            16.
            Most joins can be categorized as inner joins or outer joins. Inner joins return rows 

            only when there is at least one row from both tables that matches the join condition, 

            eliminating the rows that do not match with a row from the other table. Outer joins, 

            however, return all rows from at least one of the tables or views mentioned in the 

            FROM clause as long as these rows meet any WHERE or HAVING search conditions. You can 

            also create cross-joins and self-joins. 

            17.
            SELECT t.Title, p.Pub_name 
            FROM Publishers AS p INNER JOIN Titles AS t 
            ON p.Pub_id = t.Pub_id 
            ORDER BY Title ASC 

            18.
            SELECT a.Au_fname, a.Au_lname, p.Pub_name 
            FROM Authors a LEFT OUTER JOIN Publishers p 
            ON a.City = p.City 
            ORDER BY p.Pub_name ASC, a.Au_lname ASC, a.Au_fname ASC 

            USE Pubs 
            SELECT a.Au_fname, a.Au_lname, p.Pub_name 
            FROM Authors a RIGHT OUTER JOIN Publishers p 
            ON a.City = p.City 
            ORDER BY p.Pub_name ASC, a.Au_lname ASC, a.Au_fname ASC 

            USE Pubs 
            SELECT a.Au_fname, a.Au_lname, p.Pub_name 
            FROM Authors a FULL OUTER JOIN Publishers p 
            ON a.City = p.City 
            ORDER BY p.Pub_name ASC, a.Au_lname ASC, a.Au_fname ASC

            USE Northwind 
            SELECT ProductName 
            FROM Products 
            WHERE UnitPrice = ( 
            SELECT UnitPrice 
            FROM Products 
            WHERE ProductName = 'Sir Rodney''s Scones' ) 

            WHERE <expression> [NOT] IN (<subquery>) 
            WHERE <expression> <comparison_operator> [ANY | ALL] (<subquery>) 
            WHERE [NOT] EXISTS (<subquery>) 

            USE Pubs 
            SELECT Pub_name 
            FROM Publishers 
            WHERE Pub_id IN ( SELECT Pub_id FROM Titles WHERE Type = 'business'  )


            USE Pubs 
            SELECT Title 
            FROM Titles WHERE Advance > ANY ( 
            SELECT Advance 
            FROM Publishers INNER JOIN Titles ON Titles.Pub_id = Publishers.Pub_id AND Pub_name = 

            'Algodata Infosystems' )

            USE Pubs 
            SELECT Pub_name 
            FROM Publishers 
            WHERE EXISTS ( 
            SELECT * 
            FROM Titles 
            WHERE Titles.Pub_id = Publishers.Pub_id AND 
            Type = 'business' ) 

            AVG(expression)
            COUNT(expression)
            COUNT(*)
            MAX(expression)
            MIN(expression)
            SUM(expression)


            19.
            Using the CUBE Operator to Summarize Data 
            The CUBE operator generates a result set that is a multi-dimensional cube. A 

            multi-dimensional cube is an expansion of fact data, or data that records individual 

            events. The expansion is based on columns that the user wants to analyze. These 

            columns are called dimensions. The cube is a result set containing a cross-tabulation 

            of all the possible combinations of the dimensions. 
            The following SELECT statement uses the CUBE operator in the GROUP BY clause: 
            USE Pubs 
            SELECT SUBSTRING(Title, 1, 65) AS Title, SUM(qty) AS 'Quantity' 
            FROM Sales INNER JOIN Titles 
            ON Sales.Title_id = Titles.Title_id 
            GROUP BY Title WITH CUBE 
            ORDER BY Title 

            20.

            USE Pubs 
            INSERT INTO NewBooks (BookTitle, BookType) 
            SELECT Title, Type 
            FROM Titles WHERE Type = 'mod_cook' 

            CREATE DEFAULT bound_default AS 'Bound default value' 
            GO 
            CREATE TABLE T1 ( column_1 int identity, 
            column_2 varchar(30) 
            CONSTRAINT default_name DEFAULT ('column default'), column_3 

            timestamp, 
            column_4 varchar(30), 
            column_5 int NULL) 
            GO 
            USE master 
            EXEC sp_bindefault 'bound_default','T1.column_4' 
            INSERT INTO T1 DEFAULT VALUES 
            --   SELECT * FROM T1 

            21.
            UPDATE        
            table_name or view_name      
            SET        
            column_name = { expression | DEFAULT | NULL }
            FROM table_source        
            WHERE search_condition 

            USE Pubs 
            UPDATE NewBooks 
            SET Price = Price * 1.1 

            USE Pubs 
            UPDATE NewBooks 
            SET Price = Titles.Price 
            FROM NewBooks JOIN Titles 
            ON NewBooks.BookTitle = Titles.Title 

            USE Pubs 
            UPDATE NewBooks 
            SET BookType = 'popular' 
            WHERE BookType = 'popular_comp‘

            DELETE table_or_view 
            FROM table_source 
            WHERE search_condition 
            Example:
            USE Pubs 
            DELETE NewBooks 
            FROM Titles 
            WHERE NewBooks.BookTitle = Titles.Title AND Titles.Royalty = 10 


            posted on 2008-10-28 13:18 雪竹的天空( theorix ) 閱讀(535) 評論(0)  編輯 收藏 引用 所屬分類: 隨筆
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