Analyzing Query Execution for Integrity Constraint Violation Detection

Data consistency ensures the validity and integrity of data representing real-world entities. Denial constraints (DCs) generalize various integrity constraints, providing a powerful way to define rules that ensure data consistency. This work analyzes the capabilities of relational database management systems (RDBMSs) to detect DC violations in different metrics. We explore various SQL patterns for measuring DC violations and evaluate the performance of multiple RDBMSs with extensive experiments, highlighting potential performance improvements, choke points, and limitations when using them.

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Publication Details

Published
2024-10-14
DOI
https://doi.org/10.5753/sbbd.2024.242785
Primary Topic
Data Quality and Management
Type
article
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article

Analyzing Query Execution for Integrity Constraint Violation Detection

Eduardo H. M. Pena, Alessandro Neves dos Santos
Data Quality and Management
article

Analyzing Query Execution for Integrity Constraint Violation Detection

Eduardo H. M. Pena, Alessandro Neves dos Santos
article en

Abstract

Data consistency ensures the validity and integrity of data representing real-world entities. Denial constraints (DCs) generalize various integrity constraints, providing a powerful way to define rules that ensure data consistency. This work analyzes the capabilities of relational database management systems (RDBMSs) to detect DC violations in different metrics. We explore various SQL patterns for measuring DC violations and evaluate the performance of multiple RDBMSs with extensive experiments, highlighting potential performance improvements, choke points, and limitations when using them.

Universidade Tecnológica Federal do Paraná (BR)
Peace, Justice and strong institutions
Openalex Percentile: Top 77%
Data Quality and Management
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