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Whereas Queue<T> operates a FIFO order, Stack<T> operates a last in, first out (LIFO) order. Looking at this from a queuing perspective, it seems like the height of unfairness latecomers get priority over those who arrived early. However, there are some situations in which this topsy-turvy ordering can make sense. A performance characteristic of most computers is that they tend to be able to work faster with data they ve processed recently than with data they ve not touched lately. CPUs have caches that provide faster access to data than a computer s main memory can support, and these caches typically operate a policy where recently used data is more likely to stay in the cache than data that has not been touched recently. If you re writing a server-side application, you may consider throughput to be more important than fairness the total rate at which you process work may matter more than how long any individual work item takes to complete. In this case, a LIFO order may make the most sense work items that were only just put into a queue are much more likely to still live in the CPU s cache than those that were queued up ages ago,

SQL injection and other types of command injection attacks can ruin entire businesses. For example, an SQL injection attack was revealed in June 2005 in which a credit card payment processing company called CardSystems had 263,000 credit card numbers stolen from its database. Even worse, since the credit card numbers were stored in its database in an unencrypted form, over 40 million credit card numbers were potentially exposed to the attack! The attack was arguably the worst cyber-attack of all time at the time of writing this book, and was investigated by Congress and the FTC. CardSystems lost large amounts of business and its assets were acquired by another company. In addition, awareness of SQL injection vulnerabilities seems to be on the rise. In the first half of 2004, there were 57 SQL injection vulnerabilities reported to the BugTraq security vulnerability mailing list (www.securityfocus.com/archive/1), and that number more than tripled to 194 during the first half of 2005 (Ng 2006). In this chapter, we show how SQL injection attacks work and discuss how they can be prevented.

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and so you ll get better throughput during high loads if you process newly arrived items first. Items that have sat in the queue for longer will just have to wait for a lull. Like Queue<T>, Stack<T> offers a method to add an item, and one to remove it. It calls these Push and Pop, respectively. They are very similar to the queue s Enqueue and Dequeue, except they both work off the same end of the list. (You could get the same effect using a LinkedList, and always calling AddFirst and RemoveFirst.) A stack could also be useful for managing navigation history. The Back button in a browser works in LIFO order the first page it shows you is the last one you visited. (And if you want a Forward button, you could define a second stack each time the user goes Back, Push the current page onto the Forward stack. Then if the user clicks Forward, Pop a page from the Forward stack, and Push the current page onto the Back stack.)

Select Three, span bottom to set the layout to three zones named Zone 1, Zone 2, and Zone 3 corresponding to the sections in the layout. Click the mouse in Zone 1 to set it as the focus. We are going to add an image to the page by clicking the Image button in the Insert section of the Page Editor tab. The Pick an image dialog box appears. There should be no pictures displayed. You can add them by clicking the Upload Pictures button, which opens the Image Uploader dialog box shown in Figure 5-10.

Summary

The .NET Framework class library provides various useful collection classes. We saw List<T> in an earlier chapter, which provides a simple resizable linear list of items. Dictionaries store entries by associating them with keys, providing fast key-based lookup. HashSet<T> and SortedSet<T> manage sets of unique items, with optional ordering. Queues, linked lists, and stacks each manage a queue of items, offering various strategies for how the order of addition relates to the order in which items come out of the queue.

10 is all about strings A bit late, you might think: we ve had about nine chapters of string-based action already! Well, yes, you d be right That s not terribly surprising, though: text is probably the single most important means an application has of communicating with its users That is especially true as we haven t introduced any graphical frameworks yet I suppose we could have beeped the system speaker in Morse, although even that can be considered a text-based operation Even with a graphical UI framework where we have pictures and buttons and graphs and sounds, they almost always have textual labels, descriptions, comments, or tool tips Users who have difficulty reading (perhaps because they have a low-vision condition) may have that text transformed into sound by accessibility tools, but the application is still processing text strings under the covers.

Even when we are dealing with integers or doubles internally within an algorithm, there comes a time when we need to represent them to humans, and preferably in a way that is meaningful to us We usually do that (at least in part) by converting them into strings of one form or another Strings are surprisingly complex and sophisticated entities, so we re going to take some time to explore their properties in this chapter First, we ll look at what we re really doing when we initialize a literal string Then, we ll see a couple of techniques which let us convert from other types to a string representation and how we can control the formatting of that conversion Next, we ll look at various different techniques we can use to process a string.

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