Improve CRUD performance on hierarchical data: Nested interval model vs. nested set model

Blake Badders, Aspen Olmsted
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Abstract

Hierarchical data models are commonly used in databases to represent data across a multitude of disciplines. In this paper, I will examine two models that can be used to represent hierarchical data in a relational database, the nested interval model, and the nested set model. These models were analyzed on a WAMP server using various queries and CRUD operations. The purpose of this paper is to examine the advantages of using a nested interval model as compared to a nested set model in a database which needs to search quickly, create, update, and destroy large amounts of hierarchical data.
提高分层数据上的CRUD性能:嵌套区间模型与嵌套集模型
在数据库中,层次数据模型通常用于表示跨多个学科的数据。在本文中,我将研究两种可用于表示关系数据库中的分层数据的模型,即嵌套区间模型和嵌套集模型。在WAMP服务器上使用各种查询和CRUD操作分析这些模型。本文的目的是研究在需要快速搜索、创建、更新和销毁大量分层数据的数据库中,与使用嵌套集模型相比,使用嵌套区间模型的优势。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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