How To Fix ACCOUTPUT000 - Table with %d rows, %d columns, and titles %s

ACCOUTPUT000 - Overview

• Message type: E = Error

• Message class: ACCOUTPUT - Messages for screen reader output

• Message number: 000

• Message text: Table with %d rows, %d columns, and titles %s

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 ACCOUTPUT000 - Table with %d rows, %d columns, and titles %s ?

  The SAP error message ACCOUTPUT000 typically indicates an issue related to the output of a report or a table that is being generated in the SAP system. The message provides information about the number of rows and columns in the table, as well as the titles of the columns.
  
  Cause:
  
  Data Volume: The error may occur if the data set being processed is too large for the system to handle efficiently, leading to performance issues or timeouts.
  
  Configuration Issues: There may be configuration settings in the SAP system that limit the output size or format of the report.
  Authorization Issues: The user may not have the necessary authorizations to view or process the data being requested.
  Technical Errors: There could be underlying technical issues, such as database connectivity problems or issues with the report generation logic.
  
  
  Solution:
  
  Check Data Volume: If the data set is too large, consider filtering the data to reduce the number of rows