Published Paper PDF: https://ijrmeet.org/wp-content/uploads/2025/07/IJRMEET0725180026_Optimization%20Strategies%20for%20Oracle%20PL%20SQL%20in%20Hybrid%20Data%20Platforms.pdf
DOI: https://doi.org/10.63345/ijrmeet.org.v13.i7.3
Er. Lagan Goel
Director, AKG International
Kandela Industrial Estate, Shamli , U.P., India-247776
Abstract
Hybrid data platforms, which integrate on-premises databases with cloud-based data stores, present unique challenges and opportunities for Oracle PL/SQL developers seeking both high performance and cost efficiency. As organizations increasingly adopt such mixed environments to leverage elasticity and maintain regulatory control over sensitive data, the stakes for optimal code execution grow markedly. This study delves into a comprehensive suite of optimization strategies tailored for Oracle PL/SQL within hybrid architectures, examining not only traditional SQL tuning and bulk-processing techniques but also advanced patterns such as pipelined table functions, parallel execution frameworks, and materialized view rewrite. We employ a robust experimental methodology, replicating real-world transactional and analytical workloads over an on-premises Oracle 19c instance and an Oracle Autonomous Database in OCI, connected via a VPN with measured latency and bandwidth constraints. Benchmarking reveals that layered interventions—beginning with context-switch reduction through BULK COLLECT and FORALL, advancing through adaptive plan selection and index optimization, and culminating in distributed materialized views—yield cumulative performance gains exceeding 70% in elapsed time, while slashing network egress by up to 75%. Furthermore, we evaluate maintainability trade-offs, demonstrating how modular package design and automated refresh scheduling for materialized views balance operational complexity against long-term agility. Cost modeling of OCI compute and data transfer charges underscores the financial impact of each optimization tier. By synthesizing these insights into a phased, best-practice framework, this work equips PL/SQL practitioners with actionable guidelines to maximize throughput, minimize latency, and control cloud expenditure across hybrid ecosystems. The findings not only reaffirm the enduring value of core PL/SQL optimizations but also extend them into the hybrid domain, offering a blueprint for sustained performance and resilience as enterprise data architectures continue to evolve.
Keywords
Oracle PL/SQL; hybrid data platforms; query tuning; bulk processing; parallel execution; code modularization
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