Updating derived relations: detecting irrelevant and autonomously computable updates

Author:

Blakeley José A.1,Coburn Neil2,Larson Per-Åke2

Affiliation:

1. Indiana Univ., Bloomington

2. Univ. of Waterloo, Waterloo, Ont., Canada

Abstract

Consider a database containing not only base relations but also stored derived relations (also called materialized or concrete views). When a base relation is updated, it may also be necessary to update some of the derived relations. This paper gives sufficient and necessary conditions for detecting when an update of a base relation cannot affect a derived relation (an irrelevant update), and for detecting when a derived relation can be correctly updated using no data other than the derived relation itself and the given update operation (an autonomously computable update). The class of derived relations considered is restricted to those defined by PSJ -expressions, that is, any relational algebra expressions constructed from an arbitrary number of project, select and join operations (but containing no self-joins). The class of update operations consists of insertions, deletions, and modifications, where the set of tuples to be deleted or modified is specified by a selection condition on attributes of the relation being updated.

Publisher

Association for Computing Machinery (ACM)

Subject

Information Systems

Cited by 120 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Autonomously Computable Information Extraction;Proceedings of the VLDB Endowment;2023-06

2. A Framework for Extracted View Maintenance;Proceedings of the ACM Symposium on Document Engineering 2020;2020-09-23

3. InvaliDB;Proceedings of the VLDB Endowment;2020-08

4. Caching in Research and Industry;Fast and Scalable Cloud Data Management;2020

5. Quantifying the Performance Impact of SQL Antipatterns on Mobile Applications;2019 IEEE International Conference on Software Maintenance and Evolution (ICSME);2019-09

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3