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This plan incurs an I/O cost of 3,223 logical reads, but it also involves a sort operation. The solution creates a derived table called C that contains current orders, with an additional column (prvorderid) holding the orderid of the previous order as obtained by a correlated subquery. The outer query then joins C with another instance of Orders, aliased as P, which supplies the full list of attributes from the previous order. The lower I/O cost is mainly the result of the Merge join algorithm that the plan uses. In the graphical query plan, the upper input to the Merge Join operator is the result of an ordered scan of the clustered index on orderid, representing the previous orders, and this is the nonpreserved side of the outer join. The lower input is the result of scanning the covering index and fetching each previous orderid with a seek operation followed by a Top 1.

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Now let s try to use those methods provided by Enumerable again. First let s get an AllVowels object: x = AllVowels.new Now you can call the methods upon x: x.collect { |i| i + "x" } => ["ax", "ex", "ix", "ox", "ux"]

Iteration/Recursion 471 Materialized Path Nested Sets Transitive Closure Conclusion 505 517 530 548

Native code compilers produce code targeted to a specific CPU architecture, such as x86, x64, or IA64 . All CLR-compliant compilers produce IL code instead . (I ll go into more detail about IL code later in this chapter .) IL code is sometimes referred to as managed code because the CLR manages its execution .

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Histograms are powerful analytical tools that express the distribution of items For example, suppose you need to figure out from the order information in the Orders table how many small, medium, and large orders you have, based on the order quantities In other words, you need a histogram with three steps What defines quantities as small, medium, or large are the extreme quantities (the minimum and maximum quantities) In our Orders table, the minimum order quantity is 10 and the maximum is 40 Take the difference between the two extremes (40 10 = 30), and divide it by the number of steps (3) to get the step size In our case, it's 30 divided by 3 is 10.

On the last line, the C# compiler emits an IL instruction to unbox o (get the address of the fields in the object) and another IL instruction to copy the fields from the heap to the stack based variable p. Now look at this code:

using System.Data; // must be added to identify DataSet [ServiceContract] public interface IQuotesService { [OperationContract] Quote GetAQuote(); [OperationContract] void AddQuote(Quote quote); [OperationContract] DataSet GetAllQuotes();

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So the boundaries of step 1 (small) would be 10 and 20; for step 2 (medium), they would be 20 and 30; and for step 3 (large), they would be 30 and 40 To generalize this, let mn = MIN(qty) and mx = MAX(qty), and let stepsize = (mx mn) / @numsteps Given a step number n, the lower bound of the step (lb) is mn + (n 1) * stepsize and the higher bound (hb) is mn + n * stepsize There's a tricky bit here What predicate will you use to bracket the elements that belong in a specific step You can't use qty BETWEEN lb and hb because a value that is equal to hb will appear in this step, and also in the next step, where it will equal the lower bound.

Figure 10-2: The DataSet is built by reading the DiffGram sections one after the next and using the row IDs to pair elements in the various blocks.

of myself. I ll start with the basic form of a MERGE statement, and in subsequent sections I ll cover the more advanced options. A basic MERGE statement has the following general form:

/v "$(BuildNumber)"

Remember that the same calculation yielded the higher bound of one step and the lower bound of the next step One approach to deal with this problem is to increase each of the lower bounds by one, so they exceed the previous step's higher bounds With integers that's fine, but with another data type it won't work because there will be potential values in between two steps, but not inside either onebetween the cracks, so to speak What I like to do to solve the problem is keep the same value in both bounds, and instead of using BETWEEN I use qty >= lb and qty < hb This technique has its own issues, but I find it easier to deal with than the previous technique The issue here is that the item with the highest quantity (40, in our case) is left out of the histogram.

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