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SAP ABAP development · LessonReviewed by Anitha M, SAP Trainer, 13 yrs · Updated · Published · SAP S/4HANA 2023 · all levels

SAP ABAP Best Practices

ABAP best practices keep custom code correct, performant, secure and maintainable, which matters enormously because custom code is where most SAP problems (and upgrade pain) originate. This page distils the habits that separate professional ABAP from liabilities.

Quick answer

ABAP best practice is four disciplines. Performance: no SELECT in a loop, named columns, indexes, aggregation in the database. Robustness: initial checks, class-based exceptions, BAPI RETURN checked and committed, ABAP Unit tests. Maintainability: small single-purpose methods, Z or Y namespace, enhancements and BAdIs rather than modifying standard. Security: AUTHORITY-CHECK in custom transactions and no direct table writes.

Key takeaways
  • Watch out: Modifying SAP standard instead of enhancing (breaks clean core).

Performance

  • No SELECTs in loops; read data once into internal tables.
  • Select only needed rows/columns; use indexes; aggregate in the DB (CDS/Open SQL).
  • Use sorted/hashed tables and field-symbols for large data.

Correctness and robustness

  • Null/initial checks and defensive coding; handle errors via class-based exceptions.
  • Always check BAPI RETURN and commit/rollback correctly.
  • Write ABAP Unit tests for logic in classes.

Maintainability and clean core

  • Object-oriented, small single-purpose methods; clear naming conventions.
  • Use enhancements/BAdIs and side-by-side extensions instead of modifying SAP standard (clean core).
  • Keep code in transports, documented, and follow the customer namespace (Z/Y).

Security

Perform authorization checks (AUTHORITY-CHECK) in custom transactions, avoid dynamic code injection, and never bypass SAP’s data validations with direct table writes. Secure, clean custom code is far easier to upgrade and audit.

Common pitfalls

  • Modifying SAP standard instead of enhancing (breaks clean core).
  • Ignoring performance rules, slow programs at scale.
  • No error handling or unit tests, fragile code.
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