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If you create an instance of the class using F# Interactive, you can inspect the actual type by using the GetType method, and you get the following output: > let p = APoint();; val p : APoint > p.GetType();; val it : System.Type = FSI_0002+APoint {Assembly = FSI-ASSEMBLY, Version=0.0.0.0, Culture=neutral, PublicKeyToken=null; AssemblyQualifiedName = "FSI_0002+APoint, FSI-ASSEMBLY, Version=0.0.0.0, ... } Now suppose you want to extend the APoint class with an additional member that stretches the point radius of a given amount; it is natural to type the new definition of the class into the top level and evaluate it. And in fact F# Interactive does not complain about the redefinition of the type with the following: type APoint(angle,radius) = member x.Angle = angle member x.Radius = radius member x.Stretch (k:double) = APoint(angle=x.Angle, radius=x.Radius + k) new() = APoint(angle=0.0, radius=0.0) Since we have redefined the structure of APoint, we may be tempted to invoke the stretch method on it, but we get an error: > p.Stretch(22.0);; p.Stretch(22.0);; --^^^^^^^^ stdin(2,2): error: FS0039: The field, constructor or member 'Stretch' is not defined. To really understand what is happening, we create a new instance p2 of the class APoint and ask for the type: > let p2 = APoint();; val p2 : APoint > p2.GetType();; val it : System.Type = FSI_0005+APoint {Assembly = FSI-ASSEMBLY, Version=0.0.0.0, Culture=neutral, PublicKeyToken=null; AssemblyQualifiedName = "FSI_0005+APoint, FSI-ASSEMBLY, Version=0.0.0.0, ... }

LPWStr)>]StringBuilder sb, int sz);.

I wanted to do this so that I can provide you with an encapsulated database access class that you can reuse as the basis for your own applications It also permits me to present to you one example (Windows) of a realistic application without long lists of source code for you to read through The data access design for this example is therefore a single unmanaged C++ class that encapsulates the embedded library C API calls The design also includes two forms: one for each of the user interfaces (Customer and Administrator)..

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As you can see, the name of the type of p2 is FSI_0005+APoint, whereas the type of p is FSI_0002+APoint and is different. Under the hood, F# Interactive compiles types into different modules to ensure that types can be redefined and ensures that the most recent definition of a type is used. Besides, the older definitions are still available, and their instances are not affected by the type redefinition. Understanding the inner mechanisms of F# Interactive is useful when using it to test F# programs because interactive evaluation is not always equivalent to running code compiled using the command-line compiler. On the other hand, the compiled nature of the system guarantees that the code executed by F# Interactive performs as well as compiled code.

In this case, the MarshalAs attribute indicates that the string should be marshalled as LPWSTR rather than LPSTR.

Figure 2-3. Plan-based query processing The four primary means of performing query optimization are Cost-based optimization Heuristic optimization Semantic optimization Parametric optimization Though no optimization technique can guarantee the best execution plan, the goal of all these methods is to generate an efficient execution for the query that guarantees correct results. A cost-based optimizer generates a range of query-evaluation plans from the given query by using the equivalence rules, and chooses the one with the least cost based on the metrics (or statistics) gathered about the relations and operations needed to execute the query. For a complex query, many equivalent plans are possible. The goal of cost-based optimization is to arrange the query execution and table access utilizing indexes and statistics gathered from past queries. Systems such as Microsoft SQL Server and Oracle use cost-based optimizers. Heuristic optimizers use rules concerning how to shape the query into the most optimal form prior to choosing alternative implementations. The application of heuristics, or rules, can eliminate queries that are likely to be inefficient. Using heuristics as a basis to form the query plan ensures that the query plan is most likely (but not always) optimized prior to evaluation. The goal of heuristic optimization is to apply rules that ensure good practices for query execution. Systems that use heuristic optimizers include Ingres and various academic variants.

Software testing is an important task in software development; its goal is to ensure that a program or a library behaves according to the system specifications It is a relevant area of software engineering research, and tools have been developed to support the increasing effort of software verification Among a large number of testing strategies, unit testing has become rapidly popular because of software tools used to support this strategy The core idea behind this approach is that programmers often write small programs to test single features of a system during development When bugs are found, new unit tests are added to ensure that a particular bug does not occur again Recently it has been proposed that testing should drive software development, because tests can be used while developing programs to check new code and later to conduct regression tests, ensuring that new features do not affect existing ones.

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