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When troubleshooting agents, you should consider the following valuable resource kit tools. MOMInfo.exe allows you to do the following: Export the rules, responses, and VarSet values at the MOM agent into an XML file. Clear the queues on the agent. Place the agent into maintenance mode. This has to be run locally on the agent. Enable script debugging. RSOR.exe allows you to create a text file showing the set of rules that would be deployed to an agent. This will not show any overrides that my be applied. MOMClusterTool.exe helps diagnose why a Windows Server cluster virtual server cannot be detected by MOM. CleanupMOM.exe will remove the MOM installation on the agent. This will not remove the details of the agent on the management server.

Everyone has their own set of tools and methodologies to troubleshoot web-based applications, and SharePoint is almost just like any other web application. You can most likely use the tools you re used to, but I d like to highlight a few. When troubleshooting the server-side code, Visual Studio is your primary tool along with the logging techniques we discussed earlier. ASP.NET developers have access to a built-in tracing tool in ASP.NET, and this tool can be used in SharePoint. Even though Visual Studio 2010 is great for debugging JavaScript, there are alternatives such as the built-in tools in Internet Explorer or the Firebug extensions to Firefox. These tools, in combination with web proxy tools like Fiddler, can prove valuable when you re troubleshooting JavaScripts or when you need to inspect what s sent to SharePoint and what s sent back.

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If your previous applications didn t include tests for your domain model, you should reconsider your position. Remember, your domain model is the heart of your software; but unlike the presentation layer, a broken domain model may not be easily visible. Note that when you re unit testing your domain model, the units are the entities. Globally, you can use two kinds of tests: data-integrity tests and logic tests. Let s take a simple example of each and see how you can use NUnit. To make it even more fun, we apply TDD. Data-integrity tests are simple tests to make sure the entities content is valid (according to the business logic) and remains valid, no matter what happens. For example, suppose you have a User entity in your domain model, and its name is mandatory; and because it s stored in the database, this name must not exceed a certain number of characters (let s say 64). Listing 8.1 shows three tests to codify this specification.

This is a recursive, bidirectional, one-to-many association, as briefly discussed in chapter 3. The one-valued end is mapped with the <many-to-one> element and the Set typed property with the <set>. Both refer to the same foreign key column: PARENT_CATEGORY_ID. Suppose you create a new Category as a child category of Computer (see figure 4.4).

Figure 7.8 shows the logical flow of the example using a synchronized queue. Think of synchronized objects as intersections with yield signs. Only one thread at a time can go through the intersection. If no other threads are present, there is no need to stop. The threads only need to stop when some other thread is accessing the object. When the thread is yielding, it goes to the WaitSleepJoin state. When accessing collections from multiple threads, synchronized access is a must. Synchronization is not free; there is a very real performance cost. If multiple threads can manipulate a collection, it must be thread-safe. The question is simply do you want a stable program If so, then you must make shared collections thread-safe. The alternative is to redesign the solution so that multiple threads cannot access the collection. Figure 7.9 shows the impact of using synchronized collections. It shows that synchronized queues are at least two and a half times slower enqueuing and dequeuing elements than using the unsynchronized counterparts. This is a small price to pay for thread safety, and if the objects are accessed from multiple threads they must be synchronized. The X-axis represents the number of elements that were queued and then dequeued. The Y-axis represents how many seconds the operation took. The unsynchronized object is consistently two times faster than the synchronized object.

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