LEADER 04457nam 22006495 450 001 9910299050103321 005 20200701045928.0 010 $a3-642-39323-3 024 7 $a10.1007/978-3-642-39323-5 035 $a(CKB)3710000000105705 035 $a(EBL)1731648 035 $a(OCoLC)884013802 035 $a(SSID)ssj0001199760 035 $a(PQKBManifestationID)11658149 035 $a(PQKBTitleCode)TC0001199760 035 $a(PQKBWorkID)11204748 035 $a(PQKB)10436540 035 $a(DE-He213)978-3-642-39323-5 035 $a(MiAaPQ)EBC1731648 035 $a(PPN)178316164 035 $a(EXLCZ)993710000000105705 100 $a20140423d2014 u| 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aSerialization and Persistent Objects $eTurning Data Structures into Efficient Databases /$fby Jiri Soukup, Petr Machá?ek 205 $a1st ed. 2014. 210 1$aBerlin, Heidelberg :$cSpringer Berlin Heidelberg :$cImprint: Springer,$d2014. 215 $a1 online resource (276 p.) 300 $aDescription based upon print version of record. 311 $a3-642-39322-5 327 $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. . 330 $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 Machá?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/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. . 606 $aData structures (Computer science) 606 $aDatabase management 606 $aOperating systems (Computers) 606 $aData Storage Representation$3https://scigraph.springernature.com/ontologies/product-market-codes/I15025 606 $aDatabase Management$3https://scigraph.springernature.com/ontologies/product-market-codes/I18024 606 $aOperating Systems$3https://scigraph.springernature.com/ontologies/product-market-codes/I14045 615 0$aData structures (Computer science). 615 0$aDatabase management. 615 0$aOperating systems (Computers). 615 14$aData Storage Representation. 615 24$aDatabase Management. 615 24$aOperating Systems. 676 $a004 676 $a004.5 676 $a005.43 676 $a005.74 700 $aSoukup$b Jiri$4aut$4http://id.loc.gov/vocabulary/relators/aut$0979437 702 $aMachá?ek$b Petr$4aut$4http://id.loc.gov/vocabulary/relators/aut 906 $aBOOK 912 $a9910299050103321 996 $aSerialization and Persistent Objects$92232980 997 $aUNINA