.NET/ASP.NET/C#/VB.NET PDF Document SDK

There are two types of LOBs: internal and external. Internal LOBs are stored inside the database tablespaces. They consist of the following SQL data types: CLOB, NCLOB, and BLOB. CLOB: Typically used to store unstructured character text data in the database NCLOB: Typically used to store unstructured character text data in the database in the National Character Set format BLOB: Typically used to store unstructured binary data in the database Internal LOBs can be further subcategorized into persistent and temporary LOBs. A persistent LOB is stored in a table column as part of a table row. A temporary LOB instance is created when you instantiate a LOB within the scope of your local application, and it is stored in the temporary tablespace associated with the user. External LOBs are stored outside the database as operating system files. Oracle accesses them via the SQL data type BFILE. A BFILE is a read-only data type you cannot write to the file pointed to by a BFILE from your application. The database stores a reference to an external file in form of a BFILE; the file itself is stored outside the database. Typically you use BFILEs to access large, unstructured, read-only data such as GIFs, multimedia files, and so on. All LOBs are accessed by a locator (you will see how soon). The main difference between an internal LOB (CLOB, BLOB, and NCLOB) and an external LOB (BFILE) is that the BFILE is stored outside the database and the database does not give any transaction semantics over changes to the BFILE. The internal LOBs are stored within Oracle, and Oracle gives you the transaction semantics for them.

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You can see from Table 2-3 that much of the functionality the Framework provides is implemented as request processing pipeline extensions. This architecture is similar to the out-of-band processing in Web Services that so many WS-* specifications describe. Notice how many security-related modules are implemented for the Framework. Security is a natural candidate for out-of-band processing because it s functionality you want applied to every request. It s code you want to keep out of page-specific code files because it applies to all requests and you don t want to have to repeat some logic on a page-by-page basis to enforce it. There are also many modules for ASP .NET 2.0 that leverage the new, built-in provider pattern. This pattern is a layer of abstraction that allows you to store information in a manner that the consuming code neither knows nor cares about. There are two implementations of the pattern that ship with ASP .NET 2.0: one for Active Directory and one for SQL Server. You can also do your own implementation of the provider pattern if you want to use your own, pre-existing, underlying data stores for persistence. These providers are leveraged by these APIs: membership, personalization, and roles.

One of the fundamental building blocks of computation in F# is recursion. The following code shows a simple well-known recursive function: > let rec factorial n = if n <= 1 then 1 else n * factorial (n-1);; val factorial : int -> int > factorial 5;; val it : int = 120 This example shows that a recursive function is simply one that can call itself as part of its own definition. Recursive functions are introduced by let rec. Functions are not recursive by default, since it is wise to isolate recursive functions to help you control the complexity of your algorithms and keep your code maintainable. It may help to visualize the execution of factorial 5 in the following way (though note that in reality F# executes the function using efficient native code): factorial 5 = 5 * factorial 4 = 5 * (4 * factorial 3) = 5 * (4 * (3 * factorial 2)) = 5 * (4 * (3 * (2 * factorial 1 ))) = 5 * (4 * (3 * (2 * 1))) = 5 * (4 * (3 * 2)) = 5 * (4 * 6) = 5 * 24 = 120 As with all calls, the execution of the currently executing instance of the function is suspended while a recursive call is made.