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<tr> <td>Last Name</td> <td> <asp:TextBox Runat=server ID=txtLastName /> </td> </tr> <tr><td colspan=2 align=center> <asp:Button Runat=server ID=btnSave Text='Save' OnClick="btnSave_Click" /> </td></tr> </table> <uc1:Timestamp ID="tsAuthor" Runat="server" /> </asp:Panel> <br /><br /><asp:Label Runat=server ID=lblOutput /> To facilitate reuse of this logic across several tables, you ll encapsulate the timestamp value in a user control. You can also do this with a custom control, making it usable across different applications. Here s the markup for the user control. (This code is in Timestamp.ascx of the Web10 project.) <%@ Control Language="C#" CodeFile="Timestamp.ascx.cs" Inherits="Timestamp_ascx" %> <asp:TextBox Runat=server ID=txtTimestamp Visible=false /> It gets included on your edit page with the following register directive from Concurrency3.aspx: <%@ Register TagPrefix="uc1" TagName="Timestamp" Src="Timestamp.ascx" %> You can see there s not much to this control. It will have no visible rendering behavior; you re really just using it to store a value in the ViewState. The timestamp will be tracked by the user control with a public property named TimestampValue. It s implemented thusly in Timestamp.ascx. public object TimestampValue { get { byte[] ba = new byte[8]; for(int indx = 0; indx < 8; indx++) { ba[indx] = Convert.ToByte( txtTimestamp.Text.Substring(indx * 3,2),16); } return ba; }

You want to move a property to another entity so that you can lazy load that entity. This is often helpful if the property is particularly expensive to load and rarely used.

As with the previous recipe, let s say you have a model that looks like the one in Figure 13-9.

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ContextUtil.DeactivateOnReturn = true; return ds; } } Notice that in this case, we ve added not only the JustInTimeActivation attribute back on to the class definition, but also added a call to DeactivateOnReturn into the method body, to ensure COM+ knows the instance can be returned to the pool when the method call is complete. Finally, you can use object pooling to throttle access to a limited resource. By minimizing the maximum pool size, you can control the number of concurrent requests that can be processed by the pooled object. For example, you might have a document management system with a ten-connection license. In order to avoid having more than ten concurrent connections, you can pool the object with a maximum pool size of ten, and a peak in load will be serialized after the tenth instance is served from the pool.

In this chapter we took a complete narrative use case, structured it into specific scenarios and steps, and generated test cases that can then be handed over to the QA team, and, of course, be walked through with the customer or business analysts to gain their feedback. Automating scenario tests is an advanced topic and not essential for your project s success, so we cover this in 11. Testing use case scenarios, which we covered in this chapter, forms one half of acceptance testing. The other half testing of business requirements is covered in the next chapter.

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