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object1.delegate1 = new EventSourceDelegates.MyDelegateType(obj2.Method1); object1.delegate1 += new EventSourceDelegates.MyDelegateType(obj3.Method2); The first statement removes any previously bound methods from delegate1 and then adds a reference to obj2.Method1. The second statement adds an additional reference to obj3.Method2. If object1 then makes a call through delegate1, obj2.Method1 and obj3.Method2 will be called, in that order. To wipe out the entire invocation list of a C# delegate, just assign a null to it like this: object1.delegate1 = null; In VB .NET, delegates don t support += and -= operators. Instead, you must use one of the static methods exposed by the standard .NET Delegate class. The equivalent of the += operator is the Delegate.Combine method, which takes a list of delegates, concatenates them, and returns a new delegate encapsulating the concatenated delegates. Here s an example: object1.delegate1 = [Delegate].Combine(object1.delegate1, object2.delegate2) If a delegate contains a concatenated list of delegates, you can remove specific delegates from the list using the Delegate.Remove method like this: object1.delegate1 = [Delegate].Remove(object1.delegate1, object2.delegate2) You can completely wipe out the invocation list of a VB .NET delegate by setting it to Nothing, like this: object1.delegate1 = Nothing;

Online transaction processing databases are the bread and butter of most consumer- and supplieroriented databases This category includes order entry, billing, customer, supplier, and supply-chain databases These databases are characterized by heavy transaction volume and a need to be online continuously, which today (given the use of the Internet to access such systems) means 24/7/365 availability, short maintenance intervals, and low tolerance for breakdowns in the system Decision-support systems range from small databases to large data warehouses These are typically not 24/7 operations, and they can easily manage with regularly scheduled downtime and maintenance windows The extremely large size of some of these data warehouses necessitates the use of special techniques both to load and to use the data There isn t a whole lot of difference between the administration of a DSS-oriented data warehouse and a transaction-oriented OLTP system from the DBA s perspective.

The backup and recovery methodology is essentially the same, and database security and other related issues are also very similar The big difference between the two types of databases occurs at the design and implementation stages DSS systems usually involve a different optimization strategy for queries and different physical storage strategies Oracle Database 11g provides you with the choice of implementing an OLTP database or a DSS database using the same database server software Performance design considerations that may work well with one type of database may be entirely inappropriate for another type of database For example, a large number of indexes can help you query a typical data warehouse efficiently while you are getting some reports out of that database.

If you have the same number of indexes on a live OLTP system with a large number of concurrent users, you may see a substantial slowing down of the database, because the many updates, inserts, and deletes on the OLTP system require more work on the part of the database..

Having a class expose a delegate field to the outside world can be risky, because a careless binder could accidentally add a handler using the = operator, thus wiping out previously registered handlers. To protect the delegate s invocation list, the .NET Framework defines an event keyword, which is used to declare a field that manages a list of delegates internally. .NET event fields only let you add or remove handlers. There is no direct way to clear the list of delegates managed by an event field. Events and delegates have similar semantics, in the sense that you can use both to make untyped object calls, but C# and VB .NET differ somewhat at the implementation level, so I ll discuss events separately for each language.

A slow system could be the result of a bottleneck in processing (CPU), memory, disk, or bandwidth. System monitoring tools help you to clearly identify the bottlenecks causing poor performance. Let s briefly examine what s involved in the monitoring of each of these resources on your system.