| 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 |
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| 024 | 7 |
_a10.1007/978-3-642-39323-5 _2doi |
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| 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. |
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| 300 |
_aXVIII, 263 p. 133 illus. _bonline resource. |
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| 336 |
_atext _btxt _2rdacontent |
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| 337 |
_acomputer _bc _2rdamedia |
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| 338 |
_aonline resource _bcr _2rdacarrier |
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| 347 |
_atext file _bPDF _2rda |
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| 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. |
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| 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 |
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