Multi-Platform Performance Analysis for CRUD Operations in Relational Databases from Java Programs using Spring Data JPA

Alexandru-Marius Bonteanu, Catalin Tudose, Ana Magdalena Anghel
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引用次数: 1

Abstract

Databases are the fundamental component of an application for storing data. SQL (Structured Query Language) is a query language that is used to create, read, update, and remove records in most relational databases (CRUD operations). Because new relational database management systems have arisen, it is useful to compare some of them when linked to a Java application using Spring Data JPA. The time for each CRUD activity is analyzed for thousands and hundreds of thousands of entries. The motivation is to find the most performant combination for an application, considering its size (number of entries).
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使用Spring Data JPA的Java程序在关系数据库中进行CRUD操作的多平台性能分析
数据库是用于存储数据的应用程序的基本组件。SQL(结构化查询语言)是一种查询语言,用于在大多数关系数据库(CRUD操作)中创建、读取、更新和删除记录。由于出现了新的关系数据库管理系统,因此在使用Spring Data JPA链接到Java应用程序时比较其中的一些系统是很有用的。每个CRUD活动的时间会针对成千上万个条目进行分析。其动机是考虑到应用程序的大小(条目数),为其找到最高效的组合。
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