How To Fix RSM2727 - Record filtered in advance because object contains errors

RSM2727 - Overview

• Message type: E = Error

• Message class: RSM2 - Monitor assistant help texts

• Message number: 727

• Message text: Record filtered in advance because object contains errors

What causes this issue?

The existing DTP requires a serialized update because fields are updated
non-commutatively during the processing run (for example, MOVE).
Therefore all new data records that have the same semantic key as
incorrect records that have not yet been corrected in earlier requests
or earlier data packages of the same request, are filtered out after the
extraction in a special step. In this way the system ensures that
incorrect data records are not repeated for your changes, which may not
contain errors themselves.
The current data record belongs to an object for which the conditions
stated above apply.

System Response

The data record was not updated but was written to an error stack.

How to fix this error?

Correct all incorrect data records and update them using an error DTP.

Procedure for System Administrators

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.

RSM2727 - Details

• The SAP error message RSM2727, which states "Record filtered in advance because object contains errors," typically occurs during the data extraction or loading process in SAP BW (Business Warehouse) or during data processing in SAP systems. This error indicates that the system has identified issues with certain records in the data set, leading to their exclusion from processing.
  Causes:
  
  Data Quality Issues: The records may contain invalid or inconsistent data, such as incorrect data types, missing mandatory fields, or values that do not meet predefined criteria.
  Transformation Errors: If you are using transformations to convert data from one format to another, errors in the transformation logic can lead to records being flagged as erroneous.
  Data Source Issues: The source system may have issues, such as connectivity problems or data integrity issues, that affect the records being extracted.
  Field Mapping Errors: Incorrect mapping of fields between the source and target can lead to data inconsistencies.
  Business Rules