abap-performance-hana

To optimize ABAP query performance on HANA, you push aggregations, filtering, joins, and sorting into SQL or CDS views so the database handles the heavy lifting instead of ABAP loops. This ensures set-based execution plans and reduces runtime overhead.

SQL pushdown in S/4HANA is the practice of moving data-intensive logic like CASE statements and window functions into the database layer. You should use it to replace ABAP loop filtering and aggregation, allowing HANA to process data using set-based execution.

Choosing between CDS views and AMDP for ABAP code pushdown depends on your logic complexity. CDS views are ideal for declarative data models and joins, while AMDP handles procedural database functions when standard SQL constructs are insufficient for HANA execution.

Yes, ABAP performance tuning for HANA requires avoiding SELECT * to minimize data transfer. You should use explicit column lists, proper WHERE clauses, and JOIN-centric querying to ensure the database only processes necessary fields.

To refactor internal table processing for S/4HANA, you select the appropriate table type like HASHED or SORTED tables and apply bulk operation patterns. This avoids unnecessary runtime overhead from row-by-row string handling and loop processing.

You should not use FOR ALL ENTRIES in ABAP on HANA when the internal table is empty or contains duplicate keys, as this bypasses database join optimizations. Subqueries or explicit JOINs are preferred for set-based HANA execution.