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And since we ensure that we read exactly the same quantity from all the files for each chunk (either 1 KB, or however much is left when we get to the end of the file), all the streams advance in unison This code has a somewhat more complex structure than before The all-in-memory version in Example 11-39 had three loops the outer one advanced one byte at a time, and then the inner two worked through the various potential match combinations But because the outer loop in Example 11-44 advances one chunk at a time, we end up needing an extra inner loop to compare all the bytes in a chunk We could have simplified this by only ever reading a single byte at a time from the streams, but in fact, this chunking has delivered a significant performance improvement.

EF provides support for a number of different databases in addition to SQL Server, such as Oracle, MySQL, SQLAnywhere, and, recently, Synergex s Synergy and a few more. EF contains its own query language and mechanisms that provide you with a consistent query mechanism that can be used across many different data sources. EF doesn t care whether your database uses T-SQL or PL/SQL querying is the same.

Console.WriteLine( _ " Connection String: " & conn.ConnectionString)

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Testing against a folder full of source code, media resources, and compilation output containing 4,500 files (totaling about 500 MB), the all-in-memory version took about 17 seconds to find all the duplicates, but the stream version took just 35 seconds! Profiling the code revealed that this performance improvement was entirely a result of the fact that we were comparing the bytes in chunks So for this particular application, the additional complexity was well worth it (Of course, you should always measure your own code against representative problems techniques that work well in one scenario don t necessarily perform well everywhere).

The WS-Secure Conversation specification provides a token-based, session-oriented, ondemand, secure channel for communication between a Web service and client. WS-Secure Conversation is analogous to the SSL protocol that secures communication over HTTP .

The clustering_factor is a measure that compares the order of the index with the degree of disorder in the table. The optimizer appears to calculate the clustering_factor by walking the table in index order and keeping track of how many times the walk jumped from one table block to another. (Of course, it doesn t really work like this; the code simply scans the index extracting table block addresses from rowids.) On every jump, a counter is incremented the final value of the counter is the clustering_factor. Figure 4-1 illustrates the principle.

The wizard uses the name of your connection for one of the types that it generates. You ll see the identifier AdventureWorksLT2008Entities cropping up in various examples later. If you happen to give your connection a different name in Visual Studio, you ll need to use that name in the code.

While the current implementation of indexing allows you to do a great deal of optimization, you can add even more optimization if you want to put forth the effort to do so. The model for indexing, as illustrated in Figure 14-4, is designed to support the provision of your own indexing mechanism, if you wish to extend the indexing capabilities of CSLA .NET.

The reason for having the setter return the bean instance is so that you can chain calls to the setters:

Specifies the FTP username. If you are specifying a different protocol in the URL, a username may not be required. Specifies the FTP password. If you are specifying a different protocol in the URL, a password may not be required. An optional property that specifies how many times to retry delivery of the message, in case there is a problem transmitting the message. An optional property that specifies the retry interval in minutes.

The Roles table will store the list of possible roles a resource can fill when assigned to a project it simply contains an Id value and the name of the role. Figure 6-18 shows the VS .NET designer with these columns added, and the Id column configured as the primary key.

With container-managed transaction beans, you are limited to a single transaction per method. You would like to group some important sections of code into a single method but use multiple transactions within the entire method. You need transaction control like this if you have a method that contains critical sections of code that cannot be broken into separate methods for CMT control. This enables you to roll back a small section of code and exit the method without executing the remaining method. This applies only to session beans, because entity beans must always use container-managed transactions.

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