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Message type: E = Error
Message class: CSM_DATA_SUP - Message Class for CCMS CSM Data Supplier
Message number: 025
Message text: Runtime and delay of a job
The node displays the runtime including the delay of the current job of
a chain of periodic jobs. If the current job has not yet been started,
the node is green and the value for the runtime + delay is 0.
As soon as the job is started, its runtime is regularly measured and
reported in the node. The scheduled job start time is used as the basis
here, rather than the actual start time, meaning that large delays here
could lead to an alert.
The system issues an error message and will not allow you to continue with this transaction until the error is resolved.
Error message extract from SAP system. Copyright SAP SE.
CSM_DATA_SUP025
- Runtime and delay of a job ?The SAP error message CSM_DATA_SUP025 typically indicates a runtime issue or delay in a job related to data processing in the SAP system. This error can occur in various contexts, such as during data extraction, transformation, or loading processes, particularly in systems that utilize SAP's data management tools.
Causes:
- Data Volume: Large volumes of data being processed can lead to longer runtimes and potential timeouts.
- System Performance: Insufficient system resources (CPU, memory, disk I/O) can cause delays in job execution.
- Lock Contention: Other processes or jobs may be locking the resources needed for the job to execute, leading to delays.
- Inefficient Queries: Poorly optimized queries or data processing logic can lead to longer execution times.
- Network Issues: If the job involves data transfer over a network, latency or connectivity issues can cause delays.
- Configuration Issues: Incorrect job scheduling or configuration settings can lead to unexpected behavior.
Solutions:
- Monitor System Performance: Use transaction codes like ST03N (Workload Analysis) or ST22 (Dump Analysis) to monitor system performance and identify bottlenecks.
- Optimize Queries: Review and optimize any SQL queries or data processing logic to ensure they are efficient.
- Increase Resources: If the system is under heavy load, consider increasing the resources (CPU, memory) allocated to the SAP system.
- Check for Locks: Use transaction SM12 to check for locks that may be causing contention and resolve them if necessary.
- Adjust Job Scheduling: If the job is running during peak hours, consider rescheduling it to a time when system load is lower.
- Review Job Logs: Check the job logs for any specific error messages or warnings that can provide more context on the issue.
- Network Diagnostics: If applicable, perform network diagnostics to ensure there are no connectivity issues affecting job performance.
Related Information:
If the issue persists after trying the above solutions, it may be beneficial to engage with SAP support or your internal IT team for further investigation.
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