How To Fix RSDD_LTIP_APD611 - Data record &1 is ignored for the following reason:

SAP Error Message - Details

• Message type: E = Error

• Message class: RSDD_LTIP_APD - AnalyticIndexes as APD Target

• Message number: 611

• Message text: Data record &1 is ignored for the following reason:

Self-Explanatory Message

Since SAP believes that this specific error message is 'self-explanatory,' no more information has been given.The majority of messages in the SAP system have a message text, however this is frequently insufficient to comprehend or resolve the problem.

To make things easier, more detailed information is frequently added to describe the issue, how to fix it, and the necessary steps or configuration modifications.

Unfortunately, there isn't any extra information in this error notice.

What else can you do?

First, use our AnswerBot below to get a possible cause and solution (requires a premium subscription).

Also, review the in-depth Common Questions & Answers listed below; you could discover a solution there or be able to connect with others who have faced similar challenges.

You can also try searching the SAP support portal (support.sap.com) but you need a special user ID to access it. It is possible that an SAP support note exists that provides additional details about the mistake or even steps for fixing it.

Smart SAP Assistant

• What is the cause and solution for SAP error message RSDD_LTIP_APD611 - Data record &1 is ignored for the following reason: ?

  The SAP error message RSDD_LTIP_APD611 typically occurs in the context of SAP BW (Business Warehouse) when there is an issue with data loading or processing in the context of an Analysis Process Designer (APD) or data extraction process. The message indicates that a specific data record is being ignored due to certain reasons, which can vary based on the context.
  Possible Causes:
  
  Data Quality Issues: The data record may contain invalid or inconsistent data that does not meet the required format or constraints defined in the target InfoObject or data model.
  Missing Key Fields: Required key fields may be missing from the data record, which prevents it from being processed correctly.
  Data Type Mismatch: There may be a mismatch between the data types of the source data and the target InfoObject.
  Duplicate Records: The record may be considered a duplicate based on the defined uniqueness constraints.
  Transformation Errors: Errors in the transformation logic that prevent the record from being correctly transformed into the target structure.
  
  Solutions:
  
  Data Validation: Check the data being loaded for any inconsistencies or invalid values. Ensure that all required fields are populated and that the data adheres to the expected formats.
  Review Key Fields: Ensure that all necessary key fields are present in the data record. If any key fields are missing, the record will be ignored.
  Check Data Types: Verify that the data types of the source fields match the expected data types in the target InfoObjects. Make necessary adjustments to the data or transformation logic.
  Handle Duplicates: If duplicates are causing the issue, consider implementing logic to handle or remove duplicates before loading the data.
  Debug Transformation Logic: If the issue is related to transformation errors, review the transformation rules and logic to ensure they are correctly defined and functioning as expected.
  
  Related Information:
  
  Transaction Codes: You can use transaction codes like RSA1 (Data Warehousing Workbench) to monitor and manage data loads and transformations.
  Logs and Traces: Check the logs and traces for more detailed error messages that can provide additional context on why the record is being ignored.
  SAP Notes: Search for relevant SAP Notes in the SAP Support Portal that may address specific issues related to the error message RSDD_LTIP_APD611.
  Documentation: Review SAP documentation related to BW data loading and APD processes for best practices and troubleshooting tips.
  
  By addressing the underlying causes and following the suggested solutions, you should be able to resolve the error and successfully process the data records.