Error
Error Code:
5224
SAP S/4HANA Error 5224: Core Extraction Failure
Description
Error 5224, 'ERR_TEXT_EA_CE_ERROR', indicates a critical failure during a core data extraction process within SAP S/4HANA. This typically occurs when the system attempts to retrieve essential business data for reporting, analytics, or integration, but encounters an unresolvable issue.
Error Message
ERR_TEXT_EA_CE_ERROR
Known Causes
4 known causesData Inconsistencies
The source data tables or objects involved in the extraction process contain corrupted, invalid, or inconsistent data that prevents successful processing.
System Resource Limitations
Insufficient system resources, such as memory (RAM) or CPU capacity, may cause the extraction process to fail, especially with large data volumes.
Incorrect Configuration
The settings or parameters for the data extraction job or underlying components are incorrectly configured, leading to execution errors.
Database or Network Issues
Problems with the database connectivity, network stability, or insufficient user permissions to access required database objects can halt the extraction.
Solutions
3 solutions available1. Restart SAP System and Related Services easy
A simple restart can often resolve transient issues affecting core extraction.
1
Log in to your SAP S/4HANA application server with administrative privileges.
2
Stop the SAP system. Use the SAP transaction `SM51` to view active instances, then use the operating system commands to stop the SAP instance gracefully. Alternatively, use the `stopsap` script if available in your environment.
3
Verify that all SAP processes have terminated. You can use commands like `ps -ef | grep <SID>` on Linux/Unix or Task Manager on Windows to ensure no SAP-related processes are running.
4
Restart the SAP system using the `startsap` script or the SAP Management Console (SMC).
5
Monitor the system startup and check the SAP system logs (transaction `SM21`) for any recurring errors after the restart.
2. Check and Reconfigure SAP HANA Database Parameters medium
Incorrect or missing HANA parameters can cause core extraction failures.
1
Log in to your SAP HANA system as a user with administrative privileges (e.g., SYSTEM user).
2
Access the SAP HANA Cockpit or use SQL commands to check relevant database parameters. Focus on parameters related to memory, background processes, and data extraction.
3
Specifically, review parameters like `parallel_index_processing`, `max_parallel_table_scan`, and any parameters related to the `xsengine` or other core services. Consult SAP Notes for specific recommendations for your S/4HANA version.
4
If any parameters are found to be misconfigured or missing, adjust them according to SAP recommendations. This might require a database restart.
5
Example SQL to check a parameter (replace with actual parameter name):
6
SELECT * FROM SYS.M_CONFIGURATION_PARAMETERS WHERE KEY = 'parallel_index_processing';7
If adjustments are needed, use the `ALTER SYSTEM ALTER CONFIGURATION` statement.
8
ALTER SYSTEM ALTER CONFIGURATION ('parallel_index_processing', 'SYSTEM') SET ('16') WITH RECONFIGURE;9
After parameter changes, restart the SAP HANA database for the changes to take effect.
3. Investigate and Resolve Underlying Data Issues advanced
Data corruption or inconsistencies can lead to core extraction failures.
1
Analyze SAP application logs (transaction `SM21`) and SAP HANA trace files (e.g., `indexserver_alert.trc`, `nameserver_alert.trc`) for specific error messages or indications of data corruption related to the core extraction process.
2
Identify the specific tables or data objects that are causing the extraction to fail. This might involve correlating errors in SAP logs with entries in HANA system views or tracing specific data operations.
3
Use SAP HANA data integrity checks or consistency checks for the identified tables. This might involve custom SQL scripts or utilizing SAP support tools.
4
If data corruption is confirmed, consult SAP Notes for procedures on how to repair or restore the affected data. This could involve using backup and recovery mechanisms, or specific data repair tools provided by SAP.
5
Consider running data consistency checks from the application side. For example, for financial data, run relevant consistency checks within SAP S/4HANA modules.
6
If the issue persists, engage SAP Support with detailed logs and findings for further assistance.