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The second problem with the shopping cart is that at this moment no mechanism exists to delete the old records from the ShoppingCart table. On a high activity web site with many users and many shopping carts, the ShoppingCart table can grow very large. With the default setting in web.config, shopping cart IDs are stored at the client browser for ten days. As a result, you can assume that any shopping carts that haven t been updated in the last ten days are invalid and can be safely removed.

The output implies that the second thread (thread2) starts before the first thread (thread1) However, your output might be the opposite, which demonstrates the true nature of threading, concurrency, and why threading is so difficult Imagine for a moment that the sample thread code were not threaded, but executed in a serial manner Calling thread1Start() and then thread2Start() results in the text hello there being first The serial behavior is easy to understand for humans Things become complicated when you need to think of multiple tasks at the same time While the computer has no problem with threads, a human who is thinking in a serial manner codes the logic, and thus the logic could be wrong Writing a good threading application should remind you of herding cats or dogs.

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In the following exercise, you ll quickly implement a simple shopping cart administration page, where the administrator can see how many old shopping cart entries exist and can delete them if necessary. The most interesting aspect you need to understand is the logic behind the database stored procedure that calculates the records that need to be deleted. The goal is to delete all shopping carts that haven t been updated in a certain amount of time. This isn t as simple as it sounds at first sight, you might think all you have to do is delete all the records in ShoppingCart whose DateAdded value is older than a specified date. However, this strategy doesn t work with shopping carts that are modified over time (say, the visitor has been adding items to the cart each week in the past three months). If the last change to the shopping cart is recent, none of its elements should be deleted, even if some are very old. In other words, you should either remove all elements in a shopping cart or none of them. The age of a shopping cart is given by the age of its most recently modified or added product.

If you are not careful with your threads and synchronization, then it is like herding ten cats into a single corner a nearly impossible task, since cats do not respond well to commands But if you are careful and conscientious, then it is like herding ten dogs into a corner fairly easy if the dogs are trained..

For the shopping cart admin page, you ll build two stored procedures (ShoppingCartRemoveOldCarts and ShoppingCartCountOldCarts), but they both work using the same logic to calculate the shopping cart elements that are old and should be removed. First, you should learn a little bit about the SQL logic that retrieves the old shopping cart elements. Take a look at the following query, which returns how many days have passed since the day the last cart item was added or modified for each cart ID: SELECT CartID, MIN(DATEDIFF(dd,DateAdded,GETDATE())) as DaysFromMostRecentRecord FROM ShoppingCart GROUP BY CartID The DATEDIFF function returns the difference, in days (because of the dd parameter), between the date specified by DateAdded and the current date (specified by GETDATE). GROUP BY groups the results by CartID, and for each CartID, the MIN aggregate function calculates the most recent record. To select all the elements from the carts that haven t been modified in the past ten days, you need a query like this: SELECT CartID FROM ShoppingCart GROUP BY CartID HAVING MIN(DATEDIFF(dd,DateAdded,GETDATE())) >= 10 You ll implement the shopping cart administration page in the next exercise. You ll implement everything, starting from the stored procedures and finishing with the presentation tier, in a single exercise.

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