During an SAP S/4HANA upgrade scenario using SUM with DMO, we encountered a critical challenge related to prolonged downtime caused by inefficient table splitting behavior. Although SAP SUM is designed to automatically calculate and manage table splitting efficiently, certain large and complex application tables required manual fine-tuning to achieve optimal performance.
By carefully analyzing and applying advanced SUM parameters — as guided by an SAP Note (3386079 – SUM DMO scenarios: Manual Options for Table Splitting and Table Migration) we successfully optimized table splitting and migration behavior, resulting in a significant reduction in overall downtime and smoother system availability during the upgrade window.
This blog shares a practical, real-world approach on how controlled intervention in SUM’s table splitting mechanism can dramatically improve migration efficiency.
During an SAP S/4HANA upgrade scenario using SUM with DMO, we encountered a critical challenge related to prolonged downtime caused by inefficient table splitting behavior. Although SAP SUM is designed to automatically calculate and manage table splitting efficiently, certain large and complex application tables required manual fine-tuning to achieve optimal performance.By carefully analyzing and applying advanced SUM parameters — as guided by an SAP Note (3386079 – SUM DMO scenarios: Manual Options for Table Splitting and Table Migration) we successfully optimized table splitting and migration behavior, resulting in a significant reduction in overall downtime and smoother system availability during the upgrade window.This blog shares a practical, real-world approach on how controlled intervention in SUM’s table splitting mechanism can dramatically improve migration efficiency. Read More Technology Blog Posts by SAP articles
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