Abap Performance Ecc

ABAP Performance — ECC / Traditional Database

These rules apply to SAP ECC systems running on traditional databases (Oracle, DB2, MSSQL, MaxDB).

Before writing, optimizing, or reviewing ABAP code, read the abap-code-review-helper skill in full unless its complete contents are already available in your current context. Preserve its correctness safeguards when applying performance recommendations; an optimization must not change result semantics. Keep passed checks internal.

Before using this skill: Call the SAP system info tool. If the system is S/4HANA or HANA DB, use the abap-performance-hana skill instead.

Core philosophy on ECC: Minimize database round-trips. Keep SQL simple — traditional DBs don't optimize complex expressions well. Buffer aggressively. Move complex logic to ABAP.

Database Access

SELECT Patterns

• Select only the fields you need. Never use SELECT * in production code.

  " good
  SELECT matnr maktx FROM mara INTO TABLE itab.
  " bad
  SELECT * FROM mara INTO TABLE itab.
  

• Always use a WHERE clause. Never read an entire table without filtering.

• Prefer JOINs over nested SELECTs. One round-trip is always better than N.

  " good — single round-trip
  SELECT m~matnr t~maktx
    FROM mara AS m
    INNER JOIN makt AS t ON t~matnr = m~matnr
    WHERE m~mtart = material_type
      AND t~spras = sy-langu
    INTO TABLE materials.
  

• BUT keep JOINs simple on ECC. Avoid more than 3-4 table JOINs — traditional DBs may generate poor execution plans. Split into two SELECTs if needed.

• Use FOR ALL ENTRIES when JOINs aren't possible. Always check driver table is not empty.

  IF itab[] IS NOT INITIAL.
    SELECT matnr werks FROM marc
      FOR ALL ENTRIES IN itab
      WHERE matnr = itab-matnr
      INTO TABLE plant_data.
  ENDIF.
  

• FOR ALL ENTRIES removes duplicates from results. Add extra key fields if you need duplicates.

• Use UP TO n ROWS when you only need a limited result set.

• ECC-specific: Avoid subqueries, CASE expressions, and complex SQL functions in SELECT — traditional DBs often create poor plans for these. Fetch data and process in ABAP.

• ECC-specific: Be careful with ORDER BY on large result sets — it can be expensive. If you need sorted data, consider fetching into a SORTED table type or sorting in ABAP.

Avoiding Redundant DB Access

• Never SELECT the same data twice. Read once, store in internal table, reuse.

• Use READ TABLE with key on a buffered internal table instead of SELECT SINGLE in a loop.

  " good — read from buffer
  SELECT matnr maktx FROM makt WHERE spras = sy-langu INTO TABLE texts.
  SORT texts BY matnr.
  " later in a loop:
  READ TABLE texts WITH KEY matnr = current_matnr BINARY SEARCH INTO text_line.
  
  " bad — SELECT in every loop iteration
  LOOP AT items INTO item.
    SELECT SINGLE maktx FROM makt WHERE matnr = item-matnr AND spras = sy-langu INTO desc.
  ENDLOOP.
  

• When using FOR ALL ENTRIES, populate a HASHED or SORTED table as lookup buffer.

Table Buffering (Critical on ECC)

Buffering is more important on ECC than on HANA because traditional DBs are slower for small lookups.

• Know the buffering types:

  • Full buffering: entire table on first access. Good for small config tables (T001, T005, etc.).
  • Generic buffering: by key prefix. Good for language-dependent tables (T002T, etc.).
  • Single-record buffering: individual rows. Good for large tables with single-record access.

• Use SELECT SINGLE on buffered tables — it reads from buffer. SELECT ... UP TO 1 ROWS bypasses the buffer.

  " good — uses buffer
  SELECT SINGLE * FROM t001 WHERE bukrs = bukrs INTO company.
  
  " bad — bypasses buffer
  SELECT * FROM t001 UP TO 1 ROWS WHERE bukrs = bukrs INTO company.
  

• Avoid BYPASSING BUFFER unless you need absolute latest DB state.

• JOINs, aggregates, DISTINCT, GROUP BY, ORDER BY, subqueries all bypass the buffer. On buffered tables, use simple SELECTs.

• ECC tip: For frequently accessed config data, consider reading the full small table into an internal table once (application-level cache) rather than hitting the DB buffer repeatedly.

Indexes

• ECC-specific: Be aware of secondary indexes on tables you SELECT from. Design WHERE clauses to match index fields in order.
• If your SELECT is slow, check if a secondary index exists and whether your WHERE clause uses it.
• On ECC, the optimizer depends more on correct index usage than on HANA where columnar storage helps.

Internal Tables

Table Type Selection

Choose the right table type — this is the single biggest performance lever:

• HASHED: O(1) lookup. Large tables with unique key, read-heavy, filled once.
• SORTED: O(log n) lookup. Large tables, non-unique key, range access, incremental fill.
• STANDARD: O(n) unless sorted + binary search. Small tables or sequential-only.

For lookup tables, always use HASHED or SORTED:

" good — O(1) lookup
DATA materials TYPE HASHED TABLE OF mara WITH UNIQUE KEY matnr.
READ TABLE materials WITH TABLE KEY matnr = input INTO mat.

" bad — O(n) scan
DATA materials TYPE STANDARD TABLE OF mara.
READ TABLE materials WITH KEY matnr = input INTO mat.

Loop Optimization

• Use ASSIGNING <fs> for fastest loop processing (no data copy).

• Use WHERE on LOOP — especially on SORTED tables (binary search).

• Avoid nested loops O(n*m). Use HASHED lookup for inner data:

  " good — O(n) with O(1) lookups
  DATA texts TYPE HASHED TABLE OF makt WITH UNIQUE KEY matnr spras.
  LOOP AT materials ASSIGNING <mat>.
    READ TABLE texts WITH TABLE KEY matnr = <mat>-matnr spras = sy-langu INTO text.
  ENDLOOP.
  

• Use DELETE ADJACENT DUPLICATES on SORTED tables.

Bulk Operations

• Use INSERT lines_of itab INTO TABLE target for bulk inserts.
• Use APPEND LINES OF for STANDARD tables.
• Use CORRESPONDING #( ) for structure mapping instead of field-by-field loops.

String Operations

• Avoid repeated string concatenation in loops — quadratic reallocation.

  " good — build table, concat at end
  DATA lines TYPE string_table.
  LOOP AT data INTO d.
    APPEND |{ d-field1 };{ d-field2 }| TO lines.
  ENDLOOP.
  DATA(csv) = concat_lines_of( table = lines sep = cl_abap_char_utilities=>cr_lf ).
  

Authorization Checks

• Check authority before expensive data retrieval, not after.

  AUTHORITY-CHECK OBJECT 'M_MATE_WRK' ID 'WERKS' FIELD plant.
  IF sy-subrc <> 0. RAISE EXCEPTION NEW zcx_no_auth( ). ENDIF.
  SELECT ... " now fetch data
  

ALV / UI Performance

• Pass data by reference to ALV to avoid copying large tables.
• Use CL_SALV_TABLE for read-only display.
• For large result sets (>100k rows), consider pagination.

Parallel Processing

• Use aRFC for independent long-running parallel tasks.
• Use SPTA framework for parallelized mass processing.
• Background jobs for very long tasks.
• Each unit must be self-contained — no shared state.

ECC Anti-Patterns