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Draw qr codes in .NET Figure 7-11. Execution plan for the stored procedure usp_nextpage

As I mentioned earlier, SQL Server doesn t create distribution statistics or maintain accurate cardinality information for table variables as it does for temporary tables . This is one of the main factors you should consider when choosing a type of temporary object for a given task . The downside is that you might get inefficient plans when the optimizer needs to consult histograms to determine selectivity . This is especially a problem with big tables, where you might end up with excessive I/O . The upside is that table variables, for the very same reason, involve much fewer recompilations . Before making your choice, you need to figure out which is more expensive in the particular task for which you re designating the temporary object . To explain the statistics aspect of table variables in a more tangible way, I ll show you some queries, their execution plans, and their I/O costs . Examine the following code, and request an estimated execution plan for it from SQL Server Management Studio (SSMS):
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10000.00 1 7000.00 4500.00 5000.00 5500.00 3000.00 3500.00 7500.00 5000.00 3000.00 1500.00 2 3 4 5 6 7 8 9 10 11
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If you performed a clean install of Windows Vista Home Basic or Business, a DVD decoder is not included. The first time you insert a DVD disc in your drive, the Player will display the error message shown here. If you have purchased a thirdparty DVD playback program that includes a DVD decoder, close this dialog box and install the player software; then try again. If you need to purchase a DVD decoder, click Web Help, which leads to a list of Microsoft-approved decoders.
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CHAPTER 8 THE SHOPPING CART
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Figure 4 1 : Requirements section showing namespace and assembly information for a type
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A. UpdatePanel B. AsyncPostBackTrigger c. ScriptManager D. ScriptManagerProxy
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Some of the examples in Table 2-1 are obvious, such as changing the case of the text or reversing it, but the last two examples are of particular interest. Rather than processing one method against the text, you process two or three in succession. The reason you can do this is that methods will return the original object after it s been adjusted by the method, so you have a fresh String object upon which to process another method. "Test".upcase results in the string TEST being returned, upon which the reverse method is called, resulting in TSET, upon which the next method is called, which increments the last character, resulting in TSEU. In the next chapter, we ll be looking at strings more deeply, but the concept of chaining methods together to get quick results is an important one in Ruby. You can read the preceding examples aloud and they make sense. Not many other programming languages can give you that level of instant familiarity!
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USE tempdb; IF OBJECT_ID('dbo.CurrentUserData', 'V') IS NOT NULL DROP VIEW dbo.CurrentUserData; IF OBJECT_ID('dbo.UserData', 'U') IS NOT NULL DROP TABLE dbo.UserData;
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Important I ve found this to be the best way for developers to think of custom attributes: instances of classes that have been serialized to a byte stream that resides in metadata . Later, at runtime, an instance of the class can be constructed by deserializing the bytes contained in the metadata . In reality, what actually happens is that the compiler emits the information necessary to create an instance of the attribute class into metadata . Each constructor parameter is written out with a 1-byte type ID followed by the value . After serializing the constructor s parameters, the compiler emits each of the specified field and property values by writing out the field/property name followed by a 1-byte type ID and then the value . For arrays, the count of elements is saved first, followed by each individual element .
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Tasks use much less memory than threads and they take much less time to create and destroy . The thread pool automatically scales the tasks across available CPUs . As each task completes a phase, the thread running that task goes back to the thread pool where it can do other work if any is available for it . The thread pool has a process-global view of tasks and, as such, it can better schedule these tasks, reducing the number of threads in the process and also reducing context switching .
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Then use the predicate qty >= lb AND qty < hb. Listing 6-13 has the revised function implementing the latter approach:
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Digest::SHA1 operates using the SHA-1 hashing algorithm, currently known and used as a reasonably secure hashing operation. It results in a 160-bit output (as with the 20 hexadecimal numbers from hexdigest), meaning there are some 1,461,501,637,330, 902,918,203, 684,832,716,283,019,655,932,542,976 possible hash values. This almost guarantees there will be no clashing hash values for legitimate data within a single domain. Another hashing mechanism provided by Ruby is based on the MD5 hashing algorithm. MD5 produces a 128-bit hash value, giving 340,282,366,920,938,463,463,374,607, 431,768,211,456 combinations. MD5 is considered to be less secure than SHA-1, as it s possible to generate hash collisions, where two sets of valid data can be engineered to get the same hash value. Hash collisions can be used to break into authentication systems that rely on MD5 hashing. However, MD5 is still a popular hashing mechanism, so the Ruby support is useful. You can use Digest::MD5 in exactly the same way as SHA-1: require 'digest/md5' puts Digest::MD5.hexdigest('test' * 1000)
Active Connections Proto Local Address TCP 0.0.0.0:135 TCP 0.0.0.0:3389 TCP 0.0.0.0:49152 TCP 0.0.0.0:49153 TCP 0.0.0.0:49154 TCP 0.0.0.0:49155 TCP 0.0.0.0:49156 TCP 0.0.0.0:49157 TCP 192.168.1.165:139 TCP 192.168.1.165:3389 TCP 192.168.1.165:49162 Foreign Address Hope-PC:0 Hope-PC:0 Hope-PC:0 Hope-PC:0 Hope-PC:0 Hope-PC:0 Hope-PC:0 Hope-PC:0 Hope-PC:0 dhcp-163:1216 netserver:microsoft-ds State LISTENING LISTENING LISTENING LISTENING LISTENING LISTENING LISTENING LISTENING LISTENING ESTABLISHED ESTABLISHED
Other Kinds of Complexity
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