How To Fix RSM2855 - & records written in PSA &

RSM2855 - Overview

• Message type: E = Error

• Message class: RSM2 - Monitor assistant help texts

• Message number: 855

• Message text: & records written in PSA &

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 RSM2855 - & records written in PSA & ?

  The SAP error message RSM2855 typically relates to issues encountered during the data extraction process in SAP BW (Business Warehouse). This error can occur when there are problems with the data being loaded into the Persistent Staging Area (PSA) or when there are inconsistencies in the data.
  Cause of RSM2855 Error
  
  Data Inconsistencies: The data being extracted may have inconsistencies or errors that prevent it from being processed correctly.
  PSA Issues: There may be issues with the PSA itself, such as incorrect data formats, missing fields, or data that does not meet the required criteria.
  Extraction Process: Problems during the extraction process, such as network issues or incorrect extraction settings, can also lead to this error.
  Data Volume: Large volumes of data being processed at once can sometimes lead to performance issues or timeouts.
  
  Solutions
  
  Check Data Quality: Review the data being extracted for any inconsistencies or errors. Ensure that all required fields are populated and that