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Both are common tasks in business applications, and the CommandBase and NameValueListBase classes are designed to make it easier for a business developer to accomplish those tasks Custom authentication has been discussed already, and much support for the idea was put into the data portal in 4 The code in 4 relies on a base class named BusinessPrincipalBase, which is what will be covered in this chapter The BusinessListBase and ReadOnlyListBase classes in 3 provide powerful functionality to support data binding But they don t directly support sorting of the data in the collections It turns out to be much better to avoid sorting collections in place, and rather to provide a sorted view of a collection instead The SortedBindingList class provides a sorted, updatable view of any collection implementing IList(Of T) That includes collections based on the base classes from 3.

The bitwise logical operators are often used to set the bit patterns for parameters to methods. Table 8-12 lists the bitwise logical operators. These operators, except for bitwise negation, are binary and left-associative. The bitwise negation operator is unary. Table 8-12. The Logical Operators

You simply loaded the source code for the LoadText: Module1.vb program:

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There are many views on what makes good UI design One common view holds that the user should be free to enter arbitrary text, and it is up to the application to try and make sense of the entry Nowhere is this truer than with date values, and the SmartDate type is designed to simplify how a business developer uses dates and exposes them to the UI In 3, the BusinessBase class implemented support for validation rules Each rule is a method with a signature that conforms to the RuleHandler delegate Using reflection, it is possible.

Listing 8-14. Order of Initialization // constructor_order.cpp using namespace System; class NativeClass { public: NativeClass() { Console::WriteLine("NativeClass: Field constructor."); } }; ref class ManagedClass { public: ManagedClass() { Console::WriteLine("ManagedClass: Field constructor."); } }; class NativeBase { public: NativeBase() { Console::WriteLine("NativeBase: Base class constructor."); } }; class NativeDerived : NativeBase { NativeClass field; public: NativeDerived() : field() { Console::WriteLine("Native: Derived class constructor."); } };

This event is raised when the data being deserialized contains some unexpected attribute. The event receives an event argument of type XmlAttributeEventArgs that supplies more information about the event. This event is raised when the data being deserialized contains some unexpected element. The event receives an event argument of type XmlElementEventArgs that supplies more information about the event. This event is raised when the data being deserialized contains some unexpected node. The event receives an event argument of type XmlNodeEventArgs that supplies more information about the event. This event is raised when the data being deserialized contains some recognized type that is not used or is unreferenced. The event receives an event argument of type UnreferencedObjectEventArgs that supplies more information about the event. This event applies only to SOAP-encoded XML.

sys%ORA11GR2> show parameter 16k NAME TYPE VALUE ------------------------------------ ----------- -----------------------------db_16k_cache_size big integer 16M So, now I have another buffer cache set up: one to cache any blocks that are 16KB in size The default pool will consume the rest of the buffer cache space, as you can see by querying V$SGASTAT These two caches are mutually exclusive; if one "fills up," it can t use space in the other This gives the DBA a very fine degree of control over memory use, but it comes at a price That price is complexity and management These multiple blocksizes were not intended as a performance or tuning feature (if you need multiple caches, you have the default, keep and recycle pools already!), but rather came about in support of transportable tablespaces the ability to take formatted data files from one database and transport or attach them to another database.

inux is widely considered one of the most secure operating systems around On a basic level, Linux is built from the ground up to be fundamentally sound, and it forces users to work with security in mind For instance, it enforces the system of ordinary users who are limited in what they can do, thus making it harder for security breaches like virus infections to occur In addition, Linux contains a firewall that is hardwired into the kernel It s called iptables (wwwnetfilterorg) and is considered among the best solutions by practically all computer security experts Not only that, but it can protect your home PC just as well as it can protect the most powerful supercomputer But, as with many Linux kernel components, iptables is difficult to use.

Note I used a SQL trick to generate data in this example. I wanted more than seven departments to

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