This lesson applies Memory, CPU, Workload, and Expensive SQL Analysis within a database operations team responding to intermittent slowdowns, memory pressure, expensive SQL, blocked threads, and storage latency in a critical SAP HANA landscape. Learners connect SAP behavior, business intent, and retained evidence while working toward HANA performance recovery.
Using the stated scenario, the instructor demonstrates Memory allocation and unloads, CPU saturation and workload distribution, Expensive statements trace, SQL plan and operator analysis. Particular attention is given to object relationships, field or status behavior, integration effects, and how resource and SQL diagnostic evidence pack supports review. The demonstration deliberately introduces the exception where a sudden slowdown appears in SQL traces but not in aggregate CPU metrics.
Complete a controlled activity covering Memory allocation and unloads, CPU saturation and workload distribution, Expensive statements trace, SQL plan and operator analysis and preserve the final result in resource and SQL diagnostic evidence pack.
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 “a sudden slowdown appears in SQL traces but not in aggregate CPU metrics” as a testable hypothesis until settings, documents, logs, reports, and retest outcomes confirm the cause.
Learners can apply Memory, CPU, Workload, and Expensive SQL Analysis, explain the resulting SAP behavior, and defend the outcome through resource and SQL diagnostic evidence pack.