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008 160915s2014 gw | s |||| 0|eng d
020 _a9783642393235
_9978-3-642-39323-5
024 7 _a10.1007/978-3-642-39323-5
_2doi
035 _ato000544616
040 _aSpringer
_cSpringer
_dRU-ToGU
050 4 _aQA76.9.D35
072 7 _aUNF
_2bicssc
072 7 _aUKS
_2bicssc
072 7 _aCOM030000
_2bisacsh
082 0 4 _a004.5
_223
100 1 _aSoukup, Jiri.
_eauthor.
_9453022
245 1 0 _aSerialization and Persistent Objects
_helectronic resource
_bTurning Data Structures into Efficient Databases /
_cby Jiri Soukup, Petr Macháček.
260 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg :
_bImprint: Springer,
_c2014.
300 _aXVIII, 263 p. 133 illus.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
505 0 _aIntroduction -- Fundamentals of persistence -- Data structures, libraries, and UML -- Advanced features, schema migration -- Languages, their features and limitations -- Automatic persistence for Objective-C -- Benchmark -- Proposal to add a keyword to all OO languages -- The future.
520 _aRecently, the pressure for fast processing and efficient storage of large data with complex relations 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 Macháček 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.
650 0 _aComputer Science.
_9155490
650 0 _aOperating systems (Computers).
_9303025
650 0 _aDatabase management.
_9566224
650 1 4 _aComputer Science.
_9155490
650 2 4 _aData Storage Representation.
_9304321
650 2 4 _aDatabase Management.
_9566226
650 2 4 _aOperating Systems.
_9303029
700 1 _aMacháček, Petr.
_eauthor.
_9453023
710 2 _aSpringerLink (Online service)
_9143950
773 0 _tSpringer eBooks
856 4 0 _uhttp://dx.doi.org/10.1007/978-3-642-39323-5
912 _aZDB-2-SCS
999 _c402763