Message type: E = Error
Message class: FARR_RAI - Revenue Accounting Item
Message number: 152
Message text: Data exists in a productive client, database tables are not deleted
There are revenue accounting items of this revenue accounting item class
in a client which system status is set to productive.
To prevent the loss of productive data, the database tables of the
respective revenue accounting item class are not deleted during the
generation of the revenue accounting item class. The database tables may
nevertheless be changed (for example when a new field is added).
The generation takes place keeping existing data.
Check if the data of the respective client may be deleted. If so,
delete the data either by removing the database table manually or by
removing the data that is contained in the database tables.
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.
FARR_RAI152
- Data exists in a productive client, database tables are not deleted ?The SAP error message FARR_RAI152 indicates that there is data present in a productive client, and as a result, the database tables cannot be deleted. This error typically arises in the context of the Asset Accounting (FI-AA) module when attempting to perform certain operations that require the deletion of data or tables that are still in use.
Cause: Existing Data: The primary cause of this error is that there are existing records in the relevant database tables that prevent deletion. This could be due to: Active asset records. Open transactions or postings related to assets. Configuration settings that restrict deletion in a productive environment. Client Settings: The system may be configured to prevent deletion of data in productive clients to ensure data integrity and compliance with business processes.
Solution: To resolve the FARR_RAI152 error, you can follow these steps: Check for Existing Data: Use transaction codes like SE16 or SE11 to check the relevant database tables (e.g., ANLA, ANLB, ANLC)
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