Recently, the pressure for fast processing and efficient storage
of large data with complexrelations increased beyond the capability
of traditional databases. Typical examples include iPhone
applications, computer aided design - both electrical and
mechanical, biochemistry applications, and incremental compilers.
Serialization, which is sometimes used in such situations is
notoriously tedious and error prone.
In this book, Jiri Soukup and Petr Macha ek show in detail how
to write programs which store their internal data automatically and
transparently to disk. Together with special data structure
libraries which treat relations among objects as first-class
entities, and with a UML class-diagram generator, the core
application code is much simplified. The benchmark chapter shows a
typical example where persistent data is faster by the order of
magnitude than with a traditional database, in both traversing and
accessing the data.
The authors explore and exploit advanced features of
object-oriented languages in a depth hardly seen in print before.
Yet, you as a reader need only a basic knowledge of C++, Java, C#,
or Objective C. These languages are quite similar with respect to
persistency, and the authors explain their differences where
necessary.
The book targets professional programmers working on any
industry applications, it teaches you how to design your own
persistent data or how to use the existing packages efficiently.
Researchers in areas like language design, compiler construction,
performance evaluation, and no-SQL applications will find a wealth
of novel ideas and valuable implementation tips. Under http:
//www.codefarms.com/bk, you will find a blog and other information,
including a downloadable zip file with the sources of all the
listings that are longer than just a few lines - ready to compile
and run."
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