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Every table and column name in the parse tree is associated with a reference to the corresponding table or column definition object. Names representing the same object get the same reference. This is important information for the next stepquery optimization. The algebrizer checks that every object name in the query actually refers to a valid table or column that exists in the system catalogs and is visible in the particular query scope. The algebrizer subsequently associates the object name with information from the catalogs. Name resolution for views is the process of replacing a view reference by its view tree (the parse tree of the query that defines the view). Views are resolved recursively if they refer to additional views.

button invisible There s no sense in deleting what might not be there The Save button is still active because, in theory, the user can still enter all the required information and attempt the save Because all the code involved with filling in the text boxes is located in doDataBind, the Page_Load method is fairly straightforward, as shown here: if ( !(thisIsPostBack) ) { CustomerID=SystemConvertToInt32( (string)Request["CustomerID"]); doDataBind(); } if ( CustomerID!=0 ) { btnDeleteVisible=true; } else { btnDeleteVisible=false; } If this is not a postback, meaning this is the first time the user is visiting the page, I set the CustomerID property from the value in the Request object, and call doDataBind to actually fill in the drop-down list and the text boxes If the CustomerID property is nonzero, I make the Delete button visible; otherwise, I make it invisible.

Because T-SQL is statically typed, the algebrizer determines the type of each node of the parse tree. The algebrizer performs this in a bottom-up fashion, starting from the leaf nodescolumns (whose type information is in the catalogs) and constants. Then, for a non-leaf node, the type information is derived from the types of the children and the attributes of the node. A good example of type derivation is the process of figuring out the final data type of a UNION query, where different data types can appear in corresponding column positions. (See the "Guidelines for Using Union" chapter in the SQL Server 2005 Books Online for more details.)

For a discussion of partitioning strategies in SQL Azure, see the paper, SQL Azure Considerations Guide; you can download it at http://wagcodeplexcom..

The problem that is the focus of this section involves inserting rows from some source table into a target table, but filtering only rows whose keys do not exist yet in the target. You might face this problem when you need to update a master table from a table of additions and changesfor example, updating a central data warehouse with information from regional centers. In this section, I'll focus on the part of the problem involving inserting new rows. There are several techniques you can choose from. The appropriate technique for a given task, in terms of simplicity and performance, will depend on several factors. Does the source table contain rows with duplicate values in attributes that correspond to the target table's key If so, what is their density And are the rows with the duplicate values guaranteed to be completely identical, or are the identical parts only the attributes making the target key The different scenarios that I mentioned might not be clear at the moment, but I'll provide more details as I explain the scenarios in context. To demonstrate different techniques for solving the task at hand, first run the code in Listing 8-3, which creates and populates the tables MyOrders, MyCustomers, StageCusts, and StageOrders.

That s all there is to Page_Load The BtnCancel_Click event handler is a single line, redirecting the user to the RepeaterTestaspx page the page that in the normal course of events is the one that got me to EditCustomeraspx The event handlers for the Save and Delete buttons are more complicated We ll examine the details of the more complicated event handler, BtnSave_Click, here You can then explore btnDelete_Click on your own Once I establish the connection, I set up the command object to execute a stored procedure, spSaveCustomer I next add a return value parameter by creating a SqlParameter object and setting the required properties Additional parameters are appended to the Parameters collection, with the most interesting parameter addition being for ContractEnds, a date field, as follows: cmdParametersAdd("@ContractEnds", SystemDateTimeParse(ContractEnds.

USE tempdb; GO IF OBJECT_ID('dbo.MyOrders') IS NOT NULL DROP TABLE dbo.MyOrders; GO IF OBJECT_ID('dbo.MyCustomers') IS NOT NULL DROP TABLE dbo.MyCustomers; GO IF OBJECT_ID('dbo.StageCusts') IS NOT NULL DROP TABLE dbo.StageCusts; GO IF OBJECT_ID('dbo.StageOrders') IS NOT NULL DROP TABLE dbo.StageOrders; GO SELECT * INTO dbo.MyCustomers FROM Northwind.dbo.Customers WHERE CustomerID < N'M'; ALTER TABLE dbo.MyCustomers ADD PRIMARY KEY(CustomerID); SELECT * INTO dbo.MyOrders FROM Northwind.dbo.Orders WHERE CustomerID < N'M'; ALTER TABLE dbo.MyOrders ADD PRIMARY KEY(OrderID),

FOREIGN KEY(CustomerID) REFERENCES dbo.MyCustomers; SELECT * INTO dbo.StageCusts FROM Northwind.dbo.Customers; ALTER TABLE dbo.StageCusts ADD PRIMARY KEY(CustomerID); SELECT C.CustomerID, CompanyName, ContactName, ContactTitle, Address, City, Region, PostalCode, Country, Phone, Fax, OrderID, EmployeeID, OrderDate, RequiredDate, ShippedDate, ShipVia, Freight, ShipName, ShipAddress, ShipCity, ShipRegion, ShipPostalCode, ShipCountry INTO dbo.StageOrders FROM Northwind.dbo.Customers AS C JOIN Northwind.dbo.Orders AS O ON O.CustomerID = C.CustomerID; CREATE UNIQUE CLUSTERED INDEX idx_cid_oid ON dbo.StageOrders(CustomerID, OrderID); ALTER TABLE dbo.StageOrders ADD PRIMARY KEY NONCLUSTERED(OrderID);