How To Fix BD024 - & entries deleted

BD024 - Overview

• Message type: E = Error

• Message class: BD - cross-application: data transfer

• Message number: 024

• Message text: & entries deleted

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?

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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 BD024 - & entries deleted ?

  The SAP error message BD024 typically indicates that there is an issue with the distribution of data in the SAP system, particularly related to the Business Data (BD) or Application Link Enabling (ALE) framework. The message usually states that "Entries deleted" in the context of data distribution, which can occur for various reasons.
  Cause of BD024 Error
  
  
  Data Deletion: The error often arises when data that is supposed to be distributed has been deleted from the source system or the target system. This can happen due to manual deletions, data archiving, or other data management processes.
  
  
  
  Configuration Issues: Incorrect configuration of the ALE settings or distribution model can lead to this error. If the logical systems are not set up correctly, or if the message types are not properly defined, it can result in data not being distributed as expected.
  
  
  Inconsistent Data: If there are inconsistencies in the data between the source and target