000 03811nam a22004935i 4500
001 978-3-642-39323-5
003 DE-He213
005 20200421112553.0
007 cr nn 008mamaa
008 140423s2014 gw | s |||| 0|eng d
020 _a9783642393235
_9978-3-642-39323-5
024 7 _a10.1007/978-3-642-39323-5
_2doi
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.
245 1 0 _aSerialization and Persistent Objects
_h[electronic resource] :
_bTurning Data Structures into Efficient Databases /
_cby Jiri Soukup, Petr Mach�aček.
264 1 _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
347 _atext file
_bPDF
_2rda
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 Mach�aček 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/book, 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.
650 0 _aOperating systems (Computers).
650 0 _aData structures (Computer science).
650 0 _aDatabase management.
650 1 4 _aComputer Science.
650 2 4 _aData Storage Representation.
650 2 4 _aDatabase Management.
650 2 4 _aOperating Systems.
700 1 _aMach�aček, Petr.
_eauthor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783642393228
856 4 0 _uhttp://dx.doi.org/10.1007/978-3-642-39323-5
912 _aZDB-2-SCS
942 _cEBK
999 _c58991
_d58991