Participants work through SQL Monitoring, Traces, and Execution-Plan Diagnosis to investigate statement performance using traceable SQL evidence. The activity is grounded in an operations team investigating intermittent response-time degradation, memory pressure, blocked transactions, and expensive SQL in a production SAP HANA system and contributes directly to stable HANA performance.
The guided walkthrough links Expensive statements trace, SQL plan cache, Plan visualization, Performance trace interpretation to business outcomes and control evidence. Learners see how the process should appear in SAP, what belongs in SQL diagnostic and tuning workbook, and how the team should respond when an optimized statement improves one execution path but regresses a common variant.
Complete a controlled activity covering Expensive statements trace, SQL plan cache, Plan visualization, Performance trace interpretation and preserve the final result in SQL diagnostic and tuning workbook.
Start at the earliest point where expected SAP behavior differs from the observed result. Review process sequence, master data, organizational assignments, configuration, authorization, integration, and timing separately. Treat “an optimized statement improves one execution path but regresses a common variant” as a testable hypothesis until settings, documents, logs, reports, and retest outcomes confirm the cause.
Learners can apply SQL Monitoring, Traces, and Execution-Plan Diagnosis, explain the resulting SAP behavior, and defend the outcome through SQL diagnostic and tuning workbook.