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A fully automated memory manager was needed to address this issue Pervasive metadata: The COM type system was incomplete, and the custom marshaller was too restrictive A more complete and general type system whose description was available at runtime would have eased interoperability Data and metadata separation: The separation between data and metadata has proven to be fragile because components without their description are useless, and vice versa A binary format containing both components and their descriptions avoids these issues Distributed components: DCOM, the distributed COM infrastructure, has proven to be inefficient The CLR was designed with a distributed memory management approach to reduce the network overhead required to keep remote components alive..

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The need for a better component infrastructure led Microsoft to create the CLR, but the following concepts from COM proved so successful that they motivated several aspects of the CLR: Binary interoperability: The ability to interoperate at the binary level gives you the freedom to develop components from any language supporting the component infrastructure. For instance, Visual Basic developers can benefit from C++ components, and vice versa. Dynamic loading: The interactive dynamic loading of components is an essential element to allow scripting engines such as Visual Basic for Applications to access the component model.

Does not support full UTF-8 character set; deprecated. Can be downloaded at http://www.sugarforge.org/frs/ group_id=6. Added in Sugar 5.5; does not have complete UTF-8 support, but will in the future.

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Partial application is one way in which functions can be computed rather than simply defined This technique becomes very powerful when combined with additional local definitions Here s a simple and practical example, representing an idiom common in graphics programming: open SystemDrawing;; let remap (r1: Rectangle) (r2: Rectangle) = let scalex = float r2Width / float r1Width let scaley = float r2Height / float r1Height let mapx x = int (float r2Left + truncate (float (x - r1Left) * scalex)) let mapy y = int (float r2Top + truncate (float (y - r1Top) * scaley)) let mapp (p: Point) = Point(mapx pX, mapy pY) mapp The function remap computes a new function value mapp that maps points in one rectangle to points in another.

To normalize repetitive data, you eliminate the repeating data in data records and data fields, moving the repeating data to other data tables. You then use primary keys and foreign keys to cross-reference related data records among those data tables.

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F# Interactive reports the type as follows: val remap : Rectangle -> Rectangle -> (Point -> Point) The type Rectangle is defined in the NET library SystemDrawingdll and represents rectangles specified by integer coordinates The computations on the interior of the transformation are performed in floating point to improve precision You can use this as follows: > let mapp = remap (Rectangle(100,100,100,100)) (Rectangle(50,50,200,200));; val mapp : Point -> Point > mapp (Point(100,100));; val it : Point = X=50,Y=50 > mapp (Point(150,150));; val it : Point = X=150,Y=150 > mapp (Point(200,200));; val it : Point = X=250,Y=250 The intermediate values scalex and scaley are computed only once, despite the fact that you ve called the resulting function mapp three times It may be helpful to think of mapp as a function object being generated by the remap function.

As stated earlier, the database layer is designed in such a way that it is very agnostic, so you should never need to make calls to the actual database later functions, but rather use the exposed class methods for doing all the work needed. In Listing 2-15 shows an example of making a query from the users table, iterating through the results, and making and updating the records if needed. Listing 2-15. Iterating Through the Users Table Using the Database Layer Methods

In the previous example, mapx, mapy, and mapp are local functions functions defined locally as part of the implementation of remap Local functions can be context dependent; in other words, they can be defined in terms of any values and parameters that happen to be in scope Here, mapx is defined in terms of scalex, scaley, r1, and r2..

Note Local and partially applied functions are, if necessary, implemented by taking the closure of the variables

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