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If the user clicks yes when asked to confirm the transaction, the server first verifies the signature. The signature is verified by computing signature_check. The algorithm concatenates all the relevant pieces of state information into state. Then, it computes the MAC over the state using the server s key. If signature_check matches the signature provided in the HTTP request, then the request has not been tampered with, and the algorithm proceeds with credit card authorization. If the signature_check does not match the signature provided in the HTTP request, then the client may have tried to alter one or more of the parameters. Even though the parameters are sent to the client in the clear, the server will be able to reliably detect if the client sent back different or altered parameters. By using this signature-based approach, the server does not need to keep track of sessionids. It can continue to be stateless at the expense of having to compute MACs when processing HTTP requests and having to stream state information to and from the client. At the same time, for state-intensive applications, the amount of extra bandwidth required to stream state may be more costly than the server-side storage required for user data in a session-id based solution.

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static void Go(object name) { // Modifying shared state without suitable protection - bad! for ( ; i < 100; ++i) { Console.WriteLine("{0}: {1}", name, i); } }

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This example has a problem: all three threads will try to read and write the shared field, and things often go wrong when you do this You might think that with three threads all sharing a single common counter, with each thread incrementing that counter every time they loop and each thread running until the counter hits 100, we d just see all the numbers from 0 to 99 once But it s not quite that simple For one thing, you might see all three threads print out 0, because they may all get to the point where they re trying to print out the first value before any of them has gotten as far as trying to increment the counter (Remember, a for loop executes its iterator clause the ++i in this example at the end of each iteration.

) Then again you might not see that it all really depends on when the OS scheduler lets the threads run But there s a subtler problem: if two threads both attempt to execute the ++i at the same time, we may see anomalous results the value of i may end up being lower than the number of times it has been incremented, for example If you want to share state between threads, you ll need to use some of the synchronization mechanisms discussed later in this chapter Be aware that using local variables is not necessarily a guarantee that the state you re working with lives on the stack For example, when using reference types (and most types are reference types) you need to keep in mind the distinction between the variable that contains the reference and the object to which that reference refers.

Example 16-4 uses nothing but local variables, but ends up using the same StringBuilder object from all three threads each thread might have its own local variable to refer to that object, but all three variables refer to the same object..

SIGN IT ALL!

Example 16-4 does something slightly unusual with the Thread constructor. Our Go method now requires two arguments the StringBuilder and the name but Thread doesn t provide a way to pass in more than one argument; we get to choose an argument count of either zero or one. So we re using a lambda here to provide a zero-argument method for Thread, and that lambda passes the two arguments into Go, including the new StringBuilder argument. It has also enabled us to declare that the Go method is expecting the name to be a string, rather than the less specific object type used in the previous example. This technique doesn t have anything to do with threading; it s just a useful trick when you find yourself confronted with an API that takes a delegate that doesn t have enough arguments. (And it s not the cause of the problem here. Less concise ways of passing the object in would have had the same problem, and so would the use of multiple methods, which Example 16-1 illustrated.) Example 16-4. Local variables, but shared state

ashups are inspiring a new generation of technology enthusiasts and programmers. Mashups enable experienced, web savvy programmers to integrate with the giants of the Web 2.0 space. As the name implies, mashups mix and mash the programming interfaces from different companies products and services to create new products and services. Yahoo, Google, Amazon, eBay, and Microsoft have published application programming interfaces (APIs) based on web standards that allow you to utilize their complicated functionality without being a programming expert. Dozens more companies, big and small, have followed in the same way, creating a mashup explosion of API mixing and matching. New, sometimes strange, mashup creations pop up all the time. In this chapter, I will explain what mashups are and give you a brief history of how mashups evolved and what technologies are used to create mashups. I will also give you a small sample of the dozens of products, services, and resources that are available to make mashups.

using System; using System.Threading; using System.Text; class Program { static void Main(string[] args) { StringBuilder result = new StringBuilder(); // Sharing the StringBuilder between threads. BAD! Thread t1 = new Thread(() => Go(result, "One")); Thread t2 = new Thread(() => Go(result, "Two")); t1.Start(); t2.Start(); Go(result, "Main"); t1.Join(); t2.Join(); } Console.WriteLine(result);

static void Go(StringBuilder sb, string name) {

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