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We re going to go through one last example in this chapter. It pulls in some of the work we did in previous chapters and adds an effects-inspired garnish. In s 4 and 5, we wrote the code to simulate a data provider one that supplies ever-changing statistics for our fictional fantasy football game. We hooked it up to an Ajax poller that checks for new scores every 30 seconds and fires a custom event whenever it gets a response. We laid all this groundwork without a clear example of when we d be able to use it next. Similarly, in 7 we wrote a utility class for adding up numbers. The use case we had in mind was a data table in which each row had a numeric value and a total row in the table footer that would show the sum of the values from all rows. Effects give us the final piece. We re going to build a game summary page for our fantasy football league. It will display both teams scores, side by side, with a breakdown by player of where the points are coming from.
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where a transaction mishap might occur. In most cases, however, it makes sense to use the rich framework provided to you to wrap up transactions, but as it turns out, even within that realm there are many choices and flavors to pick from. This chapter delves into the basics of transactions as it applies to ADO.NET and databases, while giving sufficient coverage to distributed transactions using the new System.Transactions namespace in .NET 2.0. You ll see the various pros and cons of each approach that will help you make wise choices applicable to your system architecture. Also discussed in this chapter is a SQL Server 2005 specific feature MARS (Multiple Active Resultsets) and its support in ADO.NET. In short, MARS lets you execute multiple statements and maintain their results on the same connection. It s important to note that, in reality, the statements are not executing in parallel, they are only executing on the same connection. However, simultaneously, active result sets are being maintained. This makes me sit back and scratch my head and wonder, what if those two commands include a select command and an update command What if there is another insert command in the mix What happens if there is a transaction in the mix MARS gets especially interesting when viewed within transactional semantics and deserves sufficient attention in this context, as will be discussed in this chapter. But first things first, what is a transaction
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First, let s get this all onto the page in the form of markup. Then we can style it to aesthetic perfection. Create a new file called game.html with script tags pointing to prototype.js and scriptaculous.js:
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A transaction is a set of operations where either all of the operations must be successful or all of them must fail to ensure consistency and correct behavior within a system. Let s look at the traditional example of a transaction. Suppose you need to transfer $1,000 from account A to account B. This operation involves two steps: 1. $1,000 should be deducted from account A. 2. $1,000 should be added to account B. Say that you successfully completed step 1, but due to some error step 2 failed. If you do not undo step 1, then the entire operation will be faulty. Transactions help to avoid this. Operations in the same transaction will only make changes to the database if all the steps are successful. So in this example, if step 2 fails, then the changes made by step 1 will not be committed to the database. Transactions usually follow certain guidelines known as the ACID properties, which ensure that even complex transactions will be self-contained and reliable.
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Transactions are characterized by four properties popularly called ACID properties. To pass the ACID test, a transaction must be Atomic, Consistent, Isolated, and Durable. While this acronym is easy to remember, the meaning of each word is not obvious. Here is a brief explanation: Atomic: All steps in the transaction should succeed or fail together. Unless all the steps from a transaction complete, a transaction is not considered complete. Consistent: The transaction takes the underlying database from one stable state to another.
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