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Update errors can be caused by all the usual factors a timeout waiting for a connection, a network error, and so on but the most common update error is a concurrency problem. There are two overall strategies you can use to deal with concurrency issues: you can try to avoid concurrency problems before they happen, or you can try to resolve concurrency issues after they occur.

If your application requires you to receive events continuously from an RFID reader, instead of on demand, you can use the new NotificationEvent .NET event on the DeviceConnection object (provided this feature is supported by the mobile provider and RFID hardware). Using the NotificationEvent provides asynchronous notification functionality similar to an RFID process in the BizTalk RFID server world. The code fragment in Listing 7-5 shows you a small example of how to do this. Listing 7-5. Using the NotificationEvent in the DeviceConnection Object static void HandleTagReadEvent(object sender, NotificationEventArgs args) { TagReadEvent tre = args.Notification.Event as TagReadEvent; if (tre != null) {

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By default, the Entity Framework uses the last-in-wins updating strategy This means that new updates always succeed, but they may wipe out another user s changes However, this doesn t pose the same problem that it does with the SqlDataSource control (which you considered in the Strict Concurrency Checking section at the end of 15) That s because the Entity Framework doesn t apply old values If you change a single field and call SaveChanges(), the Entity Framework uses an update command that modifies just that field The Entity Framework s updating strategy can still cause a problem if two users are updating the same record at once and they are editing the same fields (or, if the changes they re making to different fields aren t consistent).

Depending on the way you re using the database and the frequency of edits, this may not be a significant concern for your application (After all, the time taken to make and commit an edit in an ASPNET application is very small, unlike a desktop application) But if you need to catch potential problems that involve overlapping edits, you can configure the Entity Framework to use stricter concurrency checking Here s how it works Using the data model designer, you choose the fields that must match in order for an update to succeed For example, you might decide that a Customer record update should be allowed to continue only if the ContactName and CompanyName fields haven t been changed by another user since the record was retrieved To do this, start by clicking the ContactName field in the Customer table box.

In Listing 15-1, the position of the initial triangle is specified in a VertexArray by the following code: short[] vertices = { 0, 0, 0, 3, 0, 0, 0, 3, 0 }; VertexArray vertexArray = new VertexArray(vertices.length / 3, 3, 2); vertexArray.set(0, vertices.length/3, vertices); A VertexArray is an M3G class that holds an array of triplets (x,y,z). The elements of the array may represent vertex position, normals, texture, or color coordinates. Many methods in M3G take VertexArray as an input argument. In Listing 15-1, it holds the three vertices of the triangle. There are two set() methods for VertexArray: void set(int firstVertex, int numVertices, byte[] values); void set(int firstVertex, int numVertices, short[] values);

Then, change the Concurrency Mode property in the Properties window from None to Fixed Finally, repeat this process for the CompanyName field Now, if you attempt to commit a change and it overlaps with records that another user has changed, the edit will fail with an OptimisticConcurrencyException At this point, you can try to resolve the problem or give the user the choice of reapplying the update..

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