ellibsЭлектронные библиотекиRussian Digital Libraries Journal1562-5419Казанский (Приволжский) федеральный университет10.26907/1562-5419-2024-27-4-656-678ellibs-565Research ArticleСтатьиАвтоматизация чтения связанных данных из реляционных и нереляционных баз данных в контексте использования стандарта JPAAutomation of Reading Related Data from Relational and Non-Relational Databases in the Context of using the JPA StandardСавинчеваАнгелина СергеевнаSavinchevaAngelina Sergeevnaasanvlit@gmail.comФеренецАлександр АндреевичFerenetsAlexander Andreevichist.kazan@gmail.comКазанский (Приволжский) федеральный университетKazan (Volga region) Federal University202428052025274656678Copyright © Савинчева А.С., Ференец А.А., 20252025Савинчева А.С., Ференец А.А.Savincheva A.S., Ferenets A.A.Данная работа распространяется под лицензией Creative Commons Attribution 4.0.This work is licensed under a Creative Commons Attribution 4.0 License.https://ellibs.elpub.ru/jour/article/view/565

Описан процесс автоматизации управления операцией чтения связанных данных из реляционных и нереляционных баз данных. Разработанный программный инструмент основан на использовании стандарта JPA (Java Persistence API), который определяет возможности контроля жизненного цикла сущностей в Java-приложениях. Спроектирована архитектура встраивания в событийные процессы, позволяющая интегрировать решение в проекты вне зависимости от используемой реализации JPA. Реализована поддержка различных стратегий загрузки данных, типов и параметров отношений. Осуществлена оценка производительности инструмента.

The process of automating the management of the reading operation of related data from relational and non-relational databases is described. The developed software tool is based on the use of the JPA (Java Persistence API) standard, which defines the capabilities of managing the lifecycle of entities in Java applications. An architecture for embedding in event processes has been designed, allowing the solution to be integrated into projects regardless of which JPA implementation is used. Support for various data loading strategies, types, and relationship parameters has been implemented. The performance of the tool has been evaluated.

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The authors declare that there are no conflicts of interest present.