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When multiple objects are involved, arbitrarily choosing one of those objects to act as the lock target is likely to make your code harder to follow, because it may not be clear to someone reading your code that you re using that object s lock to protect multiple objects rather than just the one whose lock you re acquiring If you create a special object whose only purpose is locking, this makes it clear to anyone reading your code that she needs to think about what state that lock protects The other reason to avoid acquiring a lock on the object you want to synchronize access to is that you can t always be sure that the object doesn t acquire a lock on itself some developers write lock(this) inside instance methods when trying to make thread-safe objects (for whatever definition of thread-safe they have chosen).

It is a bad practice to acquire a lock on your this reference, of course, because you can t necessarily know whether someone using your object will decide to try to acquire a lock on it for his own purposes internal locking is an implementation detail, but your this reference is public, and you don t usually want implementation details to be public So in short, you shouldn t try to acquire a lock on any object you are trying to synchronize access to Bearing all that in mind, what should we do if we want to try to make our MostRecentlyUsed class more robust in multithreaded environments First, we need to decide what multithreading scenarios we want to support Simply declaring that we want the type to be thread-safe is meaningless..

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So let s say that we want to allow multiple threads to call UseItem and GetItems simultaneously without causing exceptions. That s a pretty weak guarantee notice we ve said nothing about what state the object will be in afterward, merely that it won t actually blow up. Surely it would be better to guarantee to handle the calls in the order in which they were made. Unfortunately, we can t do this if the locking logic lives entirely inside the class. The OS scheduler might decide to preempt a thread moments after it called UseItem, and before it has had a chance to get to any of our synchronization code. For example, consider what could happen if Thread A calls UseItem, and then before that call returns, Thread B also calls UseItem, and before either returns, Thread C calls GetItems. It s fairly easy to think of at least five reasonable outcomes. GetItems might return neither of the items passed in by A and B. It might return both, and there are two ways it could do this GetItems returns an ordered list and either A or B might come first. Or it could return just one either the one passed by A or just the one passed by B. If you need coordination across multiple calls like this it s not going to be possible to do that inside MostRecentlyUsed, because you only have the opportunity to start synchronization work once calls are already underway. This is another reason why synchronization code usually belongs at the application level and not in the individual objects. So about the best we can hope to achieve within this class is to prevent the exceptions from occurring when it s used from multiple threads. Example 16-13 does this.

class MostRecentlyUsed { private List<string> items = new List<string>(); private int maxItems; private object lockObject = new object(); public MostRecentlyUsed(int maximumItemCount) { maxItems = maximumItemCount; } public void UseItem(string item) { lock (lockObject) { // If the item was already in the list, and isn't the first item, // remove it from its current position, since we're about to make // it this first item. int itemIndex = items.IndexOf(item); if (itemIndex > 0) { items.RemoveAt(itemIndex); } // If the item's already the first, we don't need to do anything.

if (itemIndex != 0) { items.Insert(0, item); // Ensure we have no more than the maximum specified // number of items. if (items.Count > maxItems) { items.RemoveAt(items.Count - 1); }

What happened The (malicious) user supplied a parameter that, once inserted into the SQL query string, actually altered the meaning of the query! In this case, he was able to modify the logical structure of the WHERE clause, causing more rows to be retrieved from the database than he would legitimately be authorized to see; in particular, he received rows where the userid column is not equal to his user-id This attack results in a serious violation of user privacy; the attacker is able to see details of other users orders While this is certainly an issue for a pizza delivery business, imagine the consequences if an online pharmacy, banking, or brokerage business were affected However, the attacker might be able to do even more damage.

}

}

}

We have previously edited the header and footer of the page, so we will move on to the Design Options. Click the Theme button to show a list of available themes. There are dozens to choose from. For this example, select the Computers & Electronics theme category. Select the computer chip image representing a particular theme (see Figure 5-15).

}

public IEnumerable<string> GetItems() { lock (lockObject) { return items.ToArray(); } }

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