Automated cross-environment SQL plan analysis: A rapid response approach to OLTP performance optimization
Year: 2025
Type: article
Abstract: This article presents an innovative approach to OLTP database performance optimization through automated cross-environment SQL plan analysis. The article addresses critical challenges in modern enterprise systems where millisecond-level response times directly impact business operations. By implementing a sophisticated framework that leverages database query fingerprinting, execution pattern recognition, and cross-environment analytical capabilities, the solution enables rapid identification and resolution of performance issues. The article automates the collection and analysis of performance metrics across multiple database instances, significantly reducing manual intervention while maintaining accuracy and reliability. The framework incorporates advanced plan profiling and transplantation techniques, ensuring optimal execution patterns are identified and implemented efficiently across different database environments. This comprehensive solution not only minimizes SLA breach durations but also enhances overall DBA efficiency by enabling focus on strategic optimization initiatives rather than routine performance monitoring tasks. The article demonstrates how this automated approach revolutionizes traditional database optimization processes while maintaining system stability and performance consistency.
Author: Diwakar Krishnakumar
Language: English
Subfield: Computer Networks and Communications
Field: Computer Science
Domain: Physical Sciences
Open Access status: hybrid
OpenAlex ID: W4409372513