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Message type: E = Error
Message class: FI_AGING - Message Class for HANA FI Aging
Message number: 023
Message text: Program cannot be run in a production client
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FI_AGING023
- Program cannot be run in a production client ?The SAP error message FI_AGING023 indicates that a specific program or transaction cannot be executed in a production client. This is a common restriction in SAP systems to prevent unintentional changes or data inconsistencies in a live environment.
Cause:
- Client Type: The error typically arises because the program is being executed in a production client (client type 000 or 001), which is restricted from running certain programs that are meant for testing or development purposes.
- Configuration Settings: The system may have been configured to restrict certain transactions or programs in production to maintain data integrity and stability.
- Authorization Issues: The user may not have the necessary authorizations to run the program in the production environment.
Solution:
- Run in a Non-Production Client: If the program is intended for testing or development, run it in a non-production client (like a development or quality assurance client).
- Check Program Settings: Review the program settings to see if it can be modified to allow execution in production. This may involve changing configuration settings or program attributes.
- Authorization Check: Ensure that the user has the necessary authorizations to execute the program. This may involve working with your SAP security team to grant the appropriate permissions.
- Consult Documentation: Check the SAP documentation or notes related to the specific program to see if there are any guidelines or restrictions regarding its execution in production.
- Contact SAP Support: If the program is critical and needs to be run in production, consider reaching out to SAP support for guidance on how to proceed.
Related Information:
Always ensure that any changes made to the system are thoroughly tested in a non-production environment before being applied to production to avoid any disruptions or data integrity issues.
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