How To Fix DIAN_XRUN001 - Data extraction completed

DIAN_XRUN001 - Overview

• Message type: E = Error

• Message class: DIAN_XRUN - DIAN Extraction Run Messages

• Message number: 001

• Message text: Data extraction completed

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.

DIAN_XRUN001 - Details

• The SAP error message DIAN_XRUN001 typically relates to issues encountered during the data extraction process in the context of the DIAN (Dirección de Impuestos y Aduanas Nacionales) reporting in Colombia. This error message indicates that the data extraction process has completed, but it may not have been successful or may have encountered issues that need to be addressed.
  Possible Causes:
  
  Data Quality Issues: There may be inconsistencies or missing data in the source systems that prevent successful extraction.
  Configuration Errors: Incorrect configuration settings in the DIAN reporting module can lead to extraction failures.
  Authorization Issues: The user executing the extraction may not have the necessary permissions to access the required data.
  Technical Errors: There could be underlying technical issues, such as connectivity problems, system performance issues, or bugs in the extraction program.
  Incomplete Data: The data set may not meet the required criteria for successful extraction, leading to incomplete or erroneous output.
  
  Solutions:
  
  Check Data Quality: Review the