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The key to coupling is to manage it appropriately. The strategy is to exercise discretion where the consequence of fixed coupling, which is tight coupling, is problematic. For example, when an employee object is tightly coupled to tblEmployee, then if there is change in the schema of tblEmployee, the use of the object is impacted and it will need to be reengineered. However, if the interface of the object is loosely coupled to the tblEmployee through middleware, then change may have no effect on the object, because the change may be accommodated within the middleware, leaving the interface between the employee object and the middleware unchanged. In this case, the coupling is loosened by exercising discretion and designing an association with an interposed party (e.g., middleware). The rationale for using an interposed party is that it is preferable to form a direct association or coupling with a party that is less demanding when circumstances change. The point is illustrated when comparing a three-tier

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<Association Name="FK_Roles_StakeHolders" Member="Roles" ThisKey="StakeHolderId" OtherKey="StakeHolderId" DeleteRule="CASCADE" IsUnique="true" /> <Type Name="BoP.Core.Domain.Person" InheritanceCode="0" IsInheritanceDefault="True"> <Column Name="FirstName" Member="FirstName" DbType="NVarChar(50)" CanBeNull="True" UpdateCheck="Never"/> <Column Name="LastName" Member="LastName" DbType="NVarChar(50)" CanBeNull="True" UpdateCheck="Never"/> <Column Name="Gender" Member="Gender" DbType="Char(1)" CanBeNull="True" UpdateCheck="Never"/> <Column Name="DOB" Member="DOB" DbType="DateTime" UpdateCheck="Never"/> <Column Name="Email" Member="Email" DbType="NVarChar(100) NOT NULL" CanBeNull="True" UpdateCheck="Never"/> <Column Name="TaxId" Member="TaxId" DbType="NVarChar(50)" CanBeNull="True" UpdateCheck="Never"/> <Association Name="FK_Accounts_StakeHolders" Member="StakeHolders" ThisKey="StakeHolderId" OtherKey="StakeHolderId" DeleteRule="CASCADE" /> </Type> </Type> </Table> After modifying your mapping file so optimistic concurrency is off, running the code works correctly and gives you your happy foofoo@bar.com web page. In Listing 11-10, you can see the SQL generated from your code in Listing 11-8. The first two statements are of course the SELECT statements to retrieve the Person from the StakeHolders and the Roles tables. The next statement is the UPDATE statement, which, as you can see, is updating all fields using the primary key. In this example, the UPDATE has no optimistic concurrency checking happening, thus this model is a last one in wins model. Listing 11-10. SQL Generated from Listing 11-8 exec sp_executesql N'SELECT TOP (1) [t0].[StakeHolderType], [t0].[FirstName], [t0].[LastName], [t0].[Gender], [t0].[DOB], [t0].[TaxId], [t0].[Email], [t0].[StakeHolderId] FROM [StakeHolders] AS [t0] WHERE ([t0].[TaxId] = @p0) AND (1 = 1)',N'@p0 nvarchar(11)',@p0=N'123-12-1234' exec sp_executesql N'SELECT [t0].[RoleType], [t0].[UserId], [t0].[Password], [t0].[Active], [t0].[StakeHolderId] FROM [Roles] AS [t0] WHERE [t0].[StakeHolderId] = @x1',N'@x1 int',@x1=1 exec sp_executesql N'UPDATE [StakeHolders] SET [FirstName] = @p2, [LastName] = @p3, [Gender] = @p4, [DOB] = @p5, [TaxId] = @p6, [Email] = @p7, [StakeHolderType] = @p8

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Empty strings are cast to the boolean value false, non-empty strings to true. Casting strings to number values is a little more complex. An empty string is always cast to the number value 0, while nonempty strings are checked first before being cast. If the characters in the string represent a valid number value, then the string is cast to the actual number value of the characters, otherwise the string is cast to the number value NaN. So the string '24.50' is cast to the number value 24.50, but the string 'hello' will be cast to NaN.

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and a five-tier application design (refer to the section Application Design Architectures later in this chapter). The five-tier design differs from the three-tier design, because the business layer is interposed by UI and data integration layers, which directly manage the relationship between the presentation and data source tiers, respectively. The loose coupling shelters the business layer from those underlying layers. The interposed integration layers may fully or substantially accommodate a change in circumstances (e.g., supplementing a Web interface with a Windows interface or changing a data schema). The consequences may be absorbed in the interposed layers, leaving the business layer unaffected or having to accommodate minimal change. The endpoint of decoupling is that the cost associated with change can be more efficiently managed, thereby lowering cost of ownership and safeguarding longevity of an application.

A unique thing about JavaScript s primitive types is that they can behave like objects To give you an example, let s take a look at how the substring of a string value can be retrieved: consolelog('Hello World!'substring(0, 4)); // 'Hello' Here, we have a string value "Hello World!" created through a literal We then invoked the substring method, which takes two arguments from and to that represent the numeric indices for the beginning and the end of the substring We passed 0 and 4, telling the substring method to take the first up to the fifth character in the string and return it The result is a new string, 'Hello' Remember the object method called hasOwnProperty We said that all objects inherit a hasOwnProperty method from Objectprototype, and strangely enough, even primitives have them: consolelog( typeOf('M!'hasOwnProperty) ); // 'function' consolelog( typeOf((42).

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