How To Fix BRAIN_DEV026 - Database table &1 of characteristic &2 adjusted

SAP Error Message - Details

• Message type: E = Error

• Message class: BRAIN_DEV - BRAIN messages (for use by development)

• Message number: 026

• Message text: Database table &1 of characteristic &2 adjusted

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.

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Smart SAP Assistant

• What is the cause and solution for SAP error message BRAIN_DEV026 - Database table &1 of characteristic &2 adjusted ?

  The SAP error message BRAIN_DEV026 typically indicates that there is an issue related to the adjustment of a database table associated with a characteristic in the SAP BW (Business Warehouse) environment. This message is often encountered during data loading or when performing certain operations on InfoProviders or characteristics.
  
  Cause:
  The error can be caused by several factors, including:
  
  Data Inconsistencies: There may be inconsistencies in the data that are causing the adjustment process to fail.
  Database Locking: The database table may be locked by another process, preventing the adjustment from completing.
  
  Configuration Issues: There may be issues with the configuration of the InfoObject or InfoProvider that is causing the adjustment to fail.
  Missing or Incorrect Data: The characteristic may reference data that is missing or incorrectly formatted.
  
  
  Solution:
  To resolve the BRAIN_DEV026 error, you can take the following steps:
  
  
  Check Data Consistency:
  
  Use transaction codes like RSA1 (Data Warehousing Workbench) to check for inconsistencies in the data.
  Run consistency checks on