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Message type: E = Error
Message class: /SCA/TSDM -
Message number: 058
Message text: System error: Time series data cannot be deleted with SET function
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/SCA/TSDM058
- System error: Time series data cannot be deleted with SET function ?The SAP error message
/SCA/TSDM058 System error: Time series data cannot be deleted with SET function
typically occurs in the context of time series data management within SAP systems, particularly when using the SAP Advanced Planning and Optimization (APO) module or similar functionalities that deal with time series data.Cause:
This error generally arises when there is an attempt to delete time series data using a SET function, which is not allowed. The SET function is typically used for updating or setting values, but it does not support the deletion of time series data. The underlying reason could be:
- Incorrect Function Usage: The function being used is not intended for deleting time series data.
- Data Integrity Constraints: The system has constraints that prevent the deletion of time series data to maintain data integrity.
- Configuration Issues: There may be configuration settings that restrict the deletion of time series data.
Solution:
To resolve this error, consider the following steps:
Use the Correct Function: Instead of using a SET function, use the appropriate function or method designed for deleting time series data. This could involve using a DELETE function or a specific API designed for this purpose.
Check Documentation: Refer to the SAP documentation for the specific module you are working with to understand the correct methods for handling time series data.
Review Data Management Practices: Ensure that your data management practices align with SAP's guidelines for handling time series data. This may involve reviewing your data model and the operations you are performing.
Consult with SAP Support: If the issue persists, consider reaching out to SAP support for assistance. They can provide insights specific to your system configuration and usage.
Testing in a Development Environment: If possible, replicate the issue in a development or test environment to better understand the cause and test potential solutions without affecting production data.
Related Information:
By following these steps, you should be able to address the error and manage time series data effectively within your SAP environment.
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