Error
Error Code:
429
SAP S/4HANA Error 429: Database Data Integrity Failure
Description
This error indicates that a database operation, such as an insert or update, violated a predefined integrity constraint within SAP S/4HANA's underlying database. It typically occurs when the system or a user attempts to store invalid or inconsistent data, preventing the transaction from completing successfully.
Error Message
ERR_SQL_INTEGRITY_CHECK_FAILED
Known Causes
4 known causesInvalid Data Input
User or system attempts to insert or update records with values that violate database constraints, such as duplicate primary keys or non-existent foreign keys.
Data Migration or Integration Issues
Data loaded during migration or real-time integration processes may not conform to existing database integrity rules, causing violations.
Custom Code or Application Logic Flaws
Bugs in custom ABAP developments or integrated third-party applications can lead to attempts to write inconsistent data.
Database Schema Inconsistencies
Rare cases of underlying database schema corruption or unexpected modifications can cause integrity checks to fail.
Solutions
4 solutions available1. Database Consistency Check and Repair advanced
Perform a detailed check of database table integrity and attempt automatic repair where possible.
1
Identify the specific table(s) mentioned in the error message. If the error is generic, you may need to check critical SAP tables.
SELECT * FROM SAPTOOLS.DBCHECK WHERE MESSAGE LIKE '%ERR_SQL_INTEGRITY_CHECK_FAILED%';
2
Execute the database integrity check utility. This tool is specific to the underlying database (e.g., HANA, Oracle, SQL Server) and SAP's tools.
For SAP HANA: Call the `CHECK_TABLE_INTEGRITY` procedure or use `M_TABLES` system view for overview.
Example (HANA SQL Console):
3
Execute the database integrity check utility. This tool is specific to the underlying database (e.g., HANA, Oracle, SQL Server) and SAP's tools.
CALL CHECK_TABLE_INTEGRITY('YOUR_SCHEMA', 'YOUR_TABLE');
For other databases, consult SAP Notes and database-specific integrity check tools.
4
If inconsistencies are found, attempt to repair them. This might involve rebuilding indexes, reordering data, or other database-specific repair mechanisms. **Caution:** Always perform backups before attempting repairs.
For SAP HANA, the `CHECK_TABLE_INTEGRITY` procedure might offer repair options or point to specific repair SQL statements. Consult SAP Notes related to the specific error and table.
5
After repair, re-run the integrity check to confirm the issue is resolved.
CALL CHECK_TABLE_INTEGRITY('YOUR_SCHEMA', 'YOUR_TABLE');
2. Review Recent System Changes and Updates medium
Investigate recent SAP application or database updates that might have introduced data corruption.
1
Check the SAP Solution Manager or system logs for any recent transports, application updates, or database patches applied to the S/4HANA system.
Navigate to transaction STMS (Transport Management System) and review the import history.
Check SM21 (System Log) for any unusual entries around the time the error started occurring.
2
If a recent transport or update is identified, review its release notes and known issues. Look for any mentions of data integrity or database-related problems.
Consult SAP Notes related to the specific transport or update package.
3
If the issue is directly linked to a recent change, consider reverting the change (if feasible and after thorough impact analysis) or applying any provided SAP correction notes.
Follow standard SAP transport reversion procedures if applicable.
3. Analyze Database Statistics and Indexes medium
Ensure database statistics are up-to-date and indexes are in good condition.
1
Check the last update time for statistics on the affected tables. Outdated statistics can sometimes lead to incorrect query execution plans, which in rare cases might manifest as integrity issues.
For SAP HANA: SELECT * FROM M_TABLE_STATISTICS WHERE TABLE_NAME = 'YOUR_TABLE';
2
Reorganize or rebuild indexes for the affected tables. Corrupted or fragmented indexes can cause read/write errors.
For SAP HANA: Use `ALTER TABLE YOUR_TABLE REBUILD INDEX ALL;` or specific index rebuild commands.
Consult SAP Notes and database documentation for specific index maintenance commands.
3
Update statistics for the affected tables. This is a crucial step for query optimization and can resolve underlying data access issues.
For SAP HANA: CALL RECALCULATE_TABLE_STATISTICS('YOUR_SCHEMA', 'YOUR_TABLE');
For other databases, use their respective commands (e.g., `ANALYZE TABLE`, `UPDATE STATISTICS`).
4. Investigate SAP Application Logic and Data Loading advanced
Examine SAP application processes that might be writing incorrect data to the database.
1
Identify the specific SAP transaction or background job that was running when the error occurred. This is often the most direct clue.
Check SM21 (System Log) and ST22 (ABAP Runtime Errors) for detailed error messages and the context of the failure.
2
If a specific transaction or job is identified, analyze the ABAP code or the process flow. Look for potential data validation issues, incorrect data type conversions, or race conditions.
Use ABAP debugger (SE80/SE38) to step through the relevant code sections.
3
Examine any recent custom developments or modifications to standard SAP processes that interact with the affected tables. Incorrectly implemented logic here is a common cause of data integrity problems.
Review transport logs for custom developments related to the affected area.
4
If data loading processes (e.g., via BAPIs, IDocs, LSMW) are involved, ensure the source data is clean and the loading logic correctly handles all data types and constraints.
Validate source data files for anomalies before loading.