TurboTuneSQL Data Collection:
A Structured Approach to Db2 Optimization
TurboTuneSQL follows a two-phase data collection process to deliver precise, actionable insights that help organizations reduce CPU consumption, improve performance, and lower costs. Each phase plays a critical role in identifying inefficiencies and implementing optimizations that enhance Db2 workloads.
- Phase I
- Phase II
- Proof of Concept
- Installation
- Save
Phase I: Baseline Data Collection
Phase I serves as the foundation for understanding overall system performance. It provides a high-level view of resource consumption and helps pinpoint areas that require deeper analysis.
What We Gather in Phase I:
✔ SQL workload statistics – Identifies high CPU-consuming queries and inefficient execution plans.
✔ System resource consumption – Establishes baseline MSU, CPU, and I/O usage across Db2 workloads.
✔ Preliminary cost savings estimates – Provides an initial assessment of potential optimizations.
✔ Performance bottlenecks – Highlights areas that may require further investigation.
Why Phase I is Important
This phase quickly identifies areas for improvement and determines whether additional analysis is needed. However, it does not provide the deep insights required for precise tuning—that’s where Phase II comes in.
Phase II: Advanced Workload Analysis
Once Phase I identifies performance concerns, Phase II dives deeper into query execution, index efficiency, and Db2 caching behavior.
What We Gather in Phase II:
✔ Query execution details – Analyzes SQL statement performance at a granular level.
✔ Index optimization opportunities – Identifies indexing inefficiencies and unused indexes.
✔ Buffer pool usage & contention – Determines the effectiveness of current buffer allocation.
✔ Refined CPU & I/O savings estimates – Ensures a highly accurate projection of cost reductions.
Why Phase II is Critical
Phase II transforms high-level insights into actionable recommendations, allowing for precise optimization of query execution paths, index strategies, and workload distribution. Without this step, performance improvements would be based on broad assumptions rather than actual workload behavior.
SQL Proof of Concept (POC): Validating the Impact
Following Phase II, we conduct an SQL Proof of Concept (POC) to demonstrate the impact of optimization before full implementation. The POC phase:
✔ Tests query execution improvements in a controlled environment.
✔ Validates CPU and I/O reductions before system-wide deployment.
✔ Measures the impact of indexing and buffer pool recommendations.
✔ Ensures tangible savings and performance gains before rollout.
Why Both Phases Are Essential
🔹 Phase I identifies where the inefficiencies are.
🔹 Phase II determines exactly how to fix them.
🔹 Without Phase II, optimization is based on estimates rather than concrete data.
🔹 The SQL POC ensures measurable, risk-free improvements.
By completing both phases, organizations gain data-driven insights, risk-free implementation strategies, and measurable performance gains that drive real cost savings and operational efficiency.
Ready to Optimize Your Db2 Performance?
TurboTuneSQL makes Db2 workload optimization seamless and data-driven. If you’re ready to see how much your organization can save, get started today.
📢 Contact us to begin your TurboTuneSQL analysis!
