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Message type: E = Error
Message class: LT_DHAPE_ENGINE - SAP Data Hub - ABAP Pipeline Engine - Message Class for Pkg
Message number: 026
Message text: Graph stop failed: Failed to stop process &1
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LT_DHAPE_ENGINE026
- Graph stop failed: Failed to stop process &1 ?The SAP error message LT_DHAPE_ENGINE026 with the description "Graph stop failed: Failed to stop process &1" typically occurs in the context of SAP Data Hub or SAP Data Intelligence when there is an issue with stopping a data processing graph or pipeline. This error can arise due to various reasons, and here are some common causes, potential solutions, and related information:
Causes:
- Resource Locking: The process may be locked by another operation, preventing it from stopping.
- Insufficient Permissions: The user or service account may not have the necessary permissions to stop the process.
- Process State: The process may be in an inconsistent state, making it unable to stop properly.
- System Overload: High system load or resource constraints may prevent the process from stopping.
- Configuration Issues: There may be misconfigurations in the graph or pipeline settings.
Solutions:
- Check Process Status: Verify the current status of the process. If it is in a "running" state, ensure that there are no other operations that might be locking it.
- Permissions Review: Ensure that the user or service account has the appropriate permissions to stop the process. This may involve checking roles and authorizations in the SAP system.
- Force Stop: If the process is unresponsive, you may need to forcefully stop it through the SAP Data Hub or Data Intelligence interface, if such an option is available.
- Restart Services: Sometimes, restarting the relevant services or components of SAP Data Hub/Data Intelligence can resolve transient issues.
- Check Logs: Review the logs for more detailed error messages or stack traces that can provide insights into why the stop operation failed.
- System Resources: Monitor system resources (CPU, memory, etc.) to ensure that the system is not overloaded. If it is, consider scaling resources or optimizing the workload.
- Consult Documentation: Refer to the official SAP documentation for Data Hub or Data Intelligence for any specific troubleshooting steps related to this error.
Related Information:
By following these steps, you should be able to diagnose and potentially resolve the error message LT_DHAPE_ENGINE026.
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