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Cumulative aggregations accumulate data from the rst element within the sequence up to the current point. For example, imagine the following request: for each employee and month, return the total quantity and average monthly quantity from the beginning of the employee s activity through the month in question. Recall the techniques for calculating row numbers without using the built-in ROW_NUMBER function; using these techniques, you scan the same rows we need here to calculate the total quantities. The difference is that for row numbers you used the aggregate COUNT, and here you ll use the aggregates SUM and AVG. I demonstrated two set-based solutions to calculate row numbers without the ROW_NUMBER function one using subqueries and one using joins. In the solution using joins, I applied what I called an expand-collapse technique. To me, the subquery solution is much more intuitive than the join solution, with its arti cial expand-collapse technique. So, when there s no performance difference, I d rather use subqueries. Typically, you won t see a performance difference when only one aggregate is involved because the plans would be similar. However, when you request multiple aggregates, the subquery solution might result in a plan that scans the data separately for each aggregate. Compare this to the plan for the join solution, which typically calculates all aggregates during a single scan of the source data. So my choice is usually simple use a subquery for one aggregate and use a join for multiple aggregates. The following query applies the expand-collapse approach to produce the desired result:

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<div id="settings" title="Settings" class="panel"> <fieldset> <div class="row"> <label>Color in Names</label> <div class="toggle" onclick="return;"> <span class="thumb"></span> <span class="toggleOn">ON</span> <span class="toggleOff">OFF</span> </div> </div> </fieldset> </div>

This section covers CLR scalar UDFs and compares them with T-SQL UDFs where relevant . Remember that Appendix A provides the instructions you need to follow to develop, build, deploy, and test the CLR routines . In this chapter, as well as in other sections in the book where I cover CLR routines, I ll focus only on the routines code . The appendix provides the namespace definitions and the CLRUtilities class that contains the routines . Here s the C# version of the namespace definitions and the header of the CLRUtilities class:

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It is possible to change a thread from foreground to background and vice versa at any time during its lifetime . An application s primary thread and any threads explicitly created by constructing a Thread object default to being foreground threads . On the other hand, thread pool threads default to being background threads . Also, any threads created by native code that enter the managed execution environment are marked as background threads . Important Try to avoid using foreground threads as much as possible . I was brought into a

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The first thing we do is get a suitable key and initialization vector for our cryptographic algorithm. These are the two parts of the secret key that are shared between whoever is encrypting and decrypting our sensitive data. A detailed discussion of cryptography is somewhat beyond the scope of this book, but here are a few key points to get us going. Unenciphered data is known as the plain text, and the encrypted version is known as cipher text. We use those terms even if we re dealing with nontextual data. The key and the initialization vector (IV) are used by a cryptographic algorithm to encrypt the unenciphered data. A cryptographic algorithm that uses the same key and IV for both encryption and decryption is called a symmetric algorithm (for obvious reasons). Asymmetric algorithms also exist, but we won t be using them in this example. Needless to say, if an unauthorized individual gets hold of the key and IV, he can happily decrypt any of your cipher text, and you no longer have a communications channel free from prying eyes. It is therefore extremely important that you take care when sharing these secrets with the people who need them, to ensure that no one else can intercept them. (This turns out to be the hardest part key management and especially human factors turn out to be security weak points far more often than the technological details. This is a book about programming, so we won t even attempt to solve that problem. We recommend the book Secrets and Lies: Digital Security in a Networked World by Bruce Schneier [John Wiley & Sons] for more information.)

Figure 7-2. Execution plan for the query in Listing 7-3

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Jun 9, 2015 · A GS1 Parser for C#. Contribute to ... http://stackoverflow.com/questions/9721718/ean128-or-gs1-128-decode-c-sharp/28854802#28854802.
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