ABAP performance tuning is less about “micro-optimizations” and more about predictable data access. The fastest changes come from fixing how data is fetched, how it’s shaped in CDS, and how buffering is applied to match usage patterns.
Start with measurement (before editing)
- Capture a baseline for runtime and database time.
- Identify hotspots: repeated SELECTs, large result sets, missing indexes, or expensive joins.
- Prefer evidence-driven refactoring: the goal is fewer trips to the DB and smaller payloads.
Open SQL: patterns that usually improve performance
- Reduce roundtrips: avoid SELECT inside tight loops; fetch in sets.
- Control result size: always select only required columns and apply pagination for UI queries.
- Be careful with “for all entries”: ensure the driving table is not empty and keys are properly prepared.
- Prefer clear access paths: write queries that align with the DB indexes and planned join conditions.
CDS-first rule of thumb
Shape data in CDS for reuse and consistency, but validate that the view stays efficient for your actual consumption paths.
CDS views: design responsibly
- Keep joins minimal and model them around business keys.
- Use annotations intentionally (not as decoration) to support consumption and tooling.
- Validate generated SQL for heavy views (especially those used by multiple apps).
Buffering: when it helps (and when it harms)
Buffering is most effective for stable reference data or data that changes infrequently. Apply buffering when you can justify cache consistency and invalidation behavior.
- Buffer small-to-medium datasets that are frequently read.
- Avoid buffering for highly dynamic or frequently changing data without a clear invalidation strategy.
- Document buffering assumptions for maintainers and future changes.
Implementation checklist
- Measure and identify the top 2–3 hotspots.
- Refactor Open SQL to reduce DB roundtrips and shrink payloads.
- Move repeated shaping logic into CDS where it improves reuse and consistency.
- Apply buffering only for justified access patterns.
- Re-measure and compare database time, not only ABAP runtime.
Related SAP Articles
ABAP and operations practices that complement performance tuning.
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