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Figure 2-5. Communicating between two applications using AQ Queues allow communication between applications sitting on different machines to take place. ODP.NET allows your code to take advantage of this message queuing facility to communicate with remote applications. Needless to say, there are numerous ways this technology can be used. To give you an idea of the benefits of using AQ in your applications, consider the following scenarios: Communication between heterogeneous applications: How does a background service communicate with an ASP.NET application, for example Previously, you had to resort to pipes or Windows sockets to pass data between processes that execute in different application pools or even different machines. AQ provides an easy and reliable solution to bridge this gap. Guarantee of message receipt even if applications are offline: When an application sends a message to a queue, and the receiving application is offline, the message will be kept in the queue until the next time the receiving application logs on. Near real-time communication between different applications: You could technically build an instant chat program that works on top of AQ. The chat client could send a message to a queue whenever you type in a friendly message to your friend. The receiving chat client subscribes to this queue so that when a message arrives, the chat client code is immediately alerted via a callback function. The friendly message can then be retrieved and displayed. Improving user interface responsiveness: Messaging applications are usually asynchronous (nonblocking). For instance, an ASP.NET application can submit a job order to a queue for processing; it does not have to wait for the order to be processed before allowing the user to proceed.

You can perform a simple test for the focus border by hit-testing two rectangles the outer rectangle (where the focus border is drawn) and the inner rectangle (where the control is drawn). If the point falls inside the outer rectangle but not inside the inner rectangle, the focus border was hit. The Rectangle.Contains() method makes this approach easy: public bool HitTestFocusBorder(Point point, out HitSpot hitSpot) { hitSpot = HitSpot.None; // Ignore controls that don't have a focus square. if (!selected) { return false; } else { Rectangle rectInner = Rectangle.Round(Path.GetBounds()); Rectangle rectOuter = rectInner; rectOuter.Inflate(new Size(focusBorderSpace, focusBorderSpace)); if (rectOuter.Contains(point) && !rectInner.Contains(point)) { // Point is on (or close enough) to the focus square. } else { return false; } ... Unfortunately, the Rectangle.Contains() method can t give you any information about where the hit occurred. To get these details, you need to go to the extra work of comparing the space between the clicked point and the appropriate edge. You need to perform all these tests for every point, in case it s close to two edges, in which case it s interpreted as a corner hit. Here s the complete code: ... bool bool bool bool top = false; bottom = false; left = false; right = false;

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We covered a lot of ground in this chapter Although we walked through some exercises specific to the MySQL database server, the vast majority of the fundamentals covered here are applicable to most database servers This fundamental knowledge will help you evaluate MySQL s ability to provide true transaction-safe capability to your applications, and give you insight on the benefits and drawbacks of transaction processing We covered the ACID test, and went over how this acronym refers to a measure of how a database server s transaction processing system works to ensure the viability of transactions executed against it Some of the diagrams in the earlier part of the chapter gave you a visual picture of how a failure can affect a transactional system, and how the recovery and logging systems of the database server work to alleviate the trouble caused by failures.

A transaction is a series of SQL statements that must be executed as a batch. If either one of these statements fail, a rollback is usually performed. A transaction follows the all-or-nothing rule. Consider the SQL statements in Listing 2-4 for instance. These three statements execute as a batch. If any of them fails, none of these records are committed to the database.

// Check the point against all edges. if (Math.Abs(point.X - location.X) < focusBorderSpace) left = true; if (Math.Abs(point.X - (location.X + size.Width)) < focusBorderSpace) right = true; if (Math.Abs(point.Y - location.Y) < focusBorderSpace) top = true;

The topic of transaction isolation is closely related to issues of concurrency You learned how locking systems work to shield multiple processes from interfering with a certain resource and saw how the different granularities of locks, and type of lock, affect concurrency issues From there, we dove into some practical examples of concurrency concerns, by executing different schedules of transactions using multiple user connections These examples helped you to see the real-life effects of isolation levels and locking concepts We also took a look at how deadlocks occur and why Our discussion of multiversion concurrency control (MVCC) showed you how the InnoDB storage engine manages to provide data isolation to concurrently executing transactions through a system of row-level version tracking Finally, we addressed the question of whether all this transactional ability is really necessary.

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