Error
Error Code:
16
SAP S/4HANA Error 16: Statement Retry Failure
Description
This error, ERR_RETRY_STATEMENT, indicates that a database operation within SAP S/4HANA failed on its initial attempt and the system is trying to re-execute it. It typically occurs when transient issues prevent the immediate successful completion of a transaction or query.
Error Message
ERR_RETRY_STATEMENT
Known Causes
4 known causesTemporary Database Contention
The database may be experiencing brief periods of high load, locks, or contention, preventing the immediate execution of the statement.
Intermittent Network Issues
Brief network interruptions or latency between the SAP S/4HANA application server and the database server can cause statement failures.
System Resource Limitations
The database or application server might be temporarily low on critical resources like memory or CPU, leading to statement execution issues.
Database Deadlock Situation
A deadlock can occur when two or more transactions are waiting for each other to release resources, causing one or more statements to fail and retry.
Solutions
3 solutions available1. Investigate Database Transaction Logs and Locks medium
Analyze database logs for conflicting transactions or deadlocks that might cause statement retries.
1
Access the SAP HANA database alert logs and trace files. Look for messages indicating transaction conflicts, deadlocks, or long-running transactions that might have timed out and triggered a retry.
2
Use SAP HANA Studio or the SQL Console to query system views for active transactions and locks. Identify any transactions holding locks on resources that the failing statement needs.
SELECT * FROM SYS.ACTIVE_TRANSACTIONS;
SELECT * FROM SYS.LOCKS;3
If a conflicting transaction is identified, analyze its purpose and duration. If it's a long-running or problematic transaction, consider terminating it (with caution and proper authorization) to release the locks.
ALTER SYSTEM KILL TRANSACTION '<transaction_id>';4
Review the application logic that generated the failing statement. Ensure that transactions are managed efficiently and that there are no long-running operations that could lead to lock contention.
2. Verify Database Resource Availability and Performance medium
Check for resource bottlenecks in the SAP HANA database that could lead to statement timeouts and retries.
1
Monitor SAP HANA database performance metrics, including CPU utilization, memory usage, disk I/O, and network traffic. High resource utilization can lead to slower query execution and timeouts.
2
Examine the SAP HANA system overview in SAP HANA Studio or the Cockpit for any performance warnings or alerts. Pay attention to areas like query execution times, memory allocation, and network throughput.
3
Analyze slow-running queries using the SAP HANA Performance Analysis tools. Identify queries with high execution times and optimize them by reviewing execution plans, adding indexes, or rewriting the query.
4
Ensure that the SAP HANA system is adequately provisioned with sufficient CPU, memory, and fast storage. If resource constraints are identified, consider scaling up the hardware or optimizing the workload.
3. Review SAP S/4HANA Application and System Configuration medium
Inspect S/4HANA application settings and system parameters that might influence statement retry behavior.
1
Consult SAP Notes and KBA documents related to SAP S/4HANA and the specific transaction or program that is encountering the error. SAP often releases patches or configuration recommendations for such issues.
2
Check the relevant SAP S/4HANA application configuration settings. For example, if the error occurs during a specific business process, review the configuration parameters for that process.
3
Examine system parameters in SAP S/4HANA that control transaction timeouts or statement execution limits. While direct manipulation of these is often discouraged without SAP guidance, understanding their existence is important.
4
If the error is intermittent, consider if it's related to specific user actions, data volumes, or background jobs. Try to reproduce the error under controlled conditions to pinpoint the trigger.