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box such as the one shown in Figure 13-1

indicate that this algorithm scales better than the iterative algorithm. I expect that packing 10 million packages should take less than 15 minutes. And if that s still too slow for you, then you can always use a real server instead of a laptop. My tests also showed that the solution that uses set-based iteration tends to be slightly more efficient. The number of bins used varies from less than 0.5 percent more to almost 2 percent less, with an average of 0.8 percent less. If you recall that the iterative version can be improved by about 4 percent (at the cost of a big performance hit) by adding an ORDER BY clause, you ll also understand that this modified iterative version will need about 3 percent fewer bins than the version based on set-based iteration. So if you need to find a solution with as few bins as possible and you can afford to wait long enough for the iterative version (with ORDER BY) to finish, use that one. Otherwise, save yourself lots of time by using set-based iteration.

Summary

Figure 13-1

Appel suggests that people take the time to play with MACD to see how it works: We recommend that you maintain two or three MACD patterns at one time Since the market drops faster than it rises, we usually recommend a quicker-reacting MACD pattern for a buy signal You could use a 10-day over a 20-day or 25-day pattern At tops they seem to be more gradual, so you should slow them down a little bit, so we might use a 20-day over a 40-day These are given in exponential numbers, so it would be 011 over 022 for buying, and 015 over 0075 for selling He says that if you use a longer-term MACD, you can slow it down even more: The question is whether you want to measure the intermediate or long term If an intermediate term, you might use weekly patterns or just do it once a week For short-term trading, you might want to use the daily MACD Usually, people at his firm use a top-down approach with MACD and other indicators to get a feel for the market Then they will look at individual stocks they like that are trading well within that environment In his office, they ll occasionally use the hourly MACD for very short-term trading

In this article, I ve shown that iterative code and set-based code aren t the only options for T-SQL developers, but rather two extremes. Set-based iteration is a technique that sits in between these two extremes, combining a low number of iterations with a setbased query that doesn t affect all rows at once, but does attempt to affect as many rows as possible without incurring exponential performance loss. The technique of set-based iteration is neither easy to use, nor a panacea for all performance problems. There s no simple recipe that you can follow to find an algorithm using set-based iteration for a problem. It requires creativity, fantasy, out-of-thebox thinking, and lots of experience to see a promising approach, and then a lot of hard work to implement and test it. Even then it s still possible that the set-based iteration may turn out not to perform as well as expected. I ve attempted to use set-based iteration in more cases than described here. In many cases, the only result was a performance decrease, or a performance gain that was too small to warrant the extra complexity in the code. But there were also situations where the performance gain was impressive. For those situations, the technique of setbased iteration can be an invaluable tool in the T-SQL developer's toolbox.

Mail distinguishes between messages you send, which it calls outgoing messages, and messages you receive, which it calls simply messages This section shows you how to work first with outgoing messages and then with incoming messages

SELECT CURRENT_TIMESTAMP; INSERT dbo.Employees ( EmployeeID, FirstName, LastName, Salary ) SELECT 7, 'Howard',