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The handling of the differences between disk and main memory effectively is at the heart of a good-quality database system The trade-off between the database system using disk or using main memory should be understood See Table 2-3 for a summary of the performance trade-offs between physical storage (disk) and secondary storage (memory)..

Note In this section we have shown how you can use NUnit to define test cases using F#. NUnit is not the

*/ int (*close) __P((DB *, u_int32_t)); int (*cursor) __P((DB *, DB_TXN *, DBC **, u_int32_t)); int (*del) __P((DB *, DB_TXN *, DBT *, u_int32_t)); // .. } This was impossible to access directly from the PInvoke interface until NET 20, because function pointers in managed structures were impossible to describe With version 2 of the runtime, the SystemRuntimeInteropServicesMarshal class features the GetFunctionPointerForDelegate for obtaining a pointer to a function that invokes a given delegate The caller of the function must guarantee that the delegate object will remain alive for the lifetime of the structure, because stubs generated by the runtime aren t moved by the garbage collector but can still be collected Furthermore, callbacks must adopt the stdcall calling convention: if this isn t the case, the PInvoke interface can t interact with the library.

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Main memory is at least 1,000 times faster than disk. Disk can hold hundreds of times more information than memory for the same cost. When the power is switched off, disk keeps the data, and main memory forgets everything. Main memory starts sending data in nanoseconds, while disk takes milliseconds. Main memory can be accessed one word at a time, and disk one block at a time.

only tool for unit testing available for .NET. For example, Visual Studio 2005 includes powerful unit testing tools. NUnit also integrates with other software development tools such as NCover, a coverage testing tool capable of conducting coverage tests driven by test fixtures and test cases.

When PInvoke s expressivity isn t enough for wrapping a function call, you can still write an adapter library in a native language such as C This is the approach followed by the BDB# library, where an intermediate layer of code has been developed to make the interface to the library.

Summary

Advances in database physical storage have seen much of the same improvements with regard to storage strategies and buffering mechanisms, but little in the way of exploratory examination of the fundamental elements of physical storage has occurred. Some have explored the topic from a hardware level and others from a more pragmatic level of what exactly it is we need to store. The subject of persistent storage is largely forgotten due to the capable and efficient mechanisms available in the host operating system.

compatible with PInvoke. The trick has been, in this case, to define a function for each database function, taking as input the pointer to the structure and performing the appropriate call: DB *db; // BDB call db->close(db, 0); // Wrapper call db_close(db, 0); The problem with wrappers is that they must be maintained manually when the signatures of the original library change. The intermediate adapter makes it more difficult to maintain the code s overall interoperability. Many libraries have a linear interface that can be easily wrapped using PInvoke, and of course wrapper generators have been developed. At the moment, there are no wrapper generators for F#, but the C-like syntax for PInvoke declarations makes it easy to translate C# wrappers into F# code. An example of such a tool is SWIG, which is a multilanguage wrapper generator that reads C header files and generates interop code for a large number of programming languages such as C#.

Summary

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