How To Fix RSO798 - After-import request &2 RC = 12. Request &1 not processed completely.

RSO798 - Overview

• Message type: E = Error

• Message class: RSO - BW Repository

• Message number: 798

• Message text: After-import request &2 RC = 12. Request &1 not processed completely.

What causes this issue?

Request &v1& was processed in the context of an 'Import All'. Errors
occurred during processing. In accordance with SAP Note 1626202,
processing terminated after object type '&v4&'.
Request &v1& does not contain any errors with regard to the termination
condition. The object list of request &v1& contains objects of object
type '&v3&' that are still unprocessed however. The request can contain
other unprocessed object types in addition to object type '&v3&'.

System Response

Request &v1& is set to "incorrectly processed" with return code 12 ( RC
= 12 ) in the context of 'Import All' processing. This means that the
request will be processed again when the 'Import All Queue' restarts.

How to fix this error?

The system issues an error message and will not allow you to continue with this transaction until the error is resolved.

Procedure for System Administrators

Error message extract from SAP system. Copyright SAP SE.

Smart SAP Assistant

• What is the cause and solution for SAP error message RSO798 - After-import request &2 RC = 12. Request &1 not processed completely. ?

  The SAP error message RSO798 indicates that there was an issue with the processing of a data request in the SAP BW (Business Warehouse) system. Specifically, the message states that after importing a request (data load), the request was not processed completely due to a return code (RC) of 12. This typically signifies that there was a problem during the data load process.
  
  Cause:
  The return code 12 generally indicates that there was an error during the data extraction or loading process. Common causes for this error can include:
  
  Data Source Issues: Problems with the data source from which data is being extracted, such as connectivity issues or incorrect configurations.
  Transformation Errors: Errors in the transformation rules that are applied to the data during the load process.
  Data Quality Issues: Issues with the data itself, such as missing or invalid data that violates the constraints of the target data model.
  Process Chain Failures: If the request