How To Fix CLASSIFICATION_TOOL220 - Maximum number of columns (&1) exceeded.

SAP Error Message - Details

• Message type: E = Error

• Message class: CLASSIFICATION_TOOL - Classification tool

• Message number: 220

• Message text: Maximum number of columns (&1) exceeded.

What causes this issue?

You are trying to display a set of characteristics that needs too many
columns.

System Response

The classifications are not displayed.

How to fix this error?

Reduce the number of characteristics. If you are working with the object
browser, you have two options.
Reduce the number of displayed attributes by pressing the button "Choose
characteristics".
Double-click on a single characteristic.

Procedure for System Administrators

The system issues an error message and will not allow you to continue with this transaction until the error is resolved.

Error message extract from SAP system. Copyright SAP SE.

Smart SAP Assistant

• What is the cause and solution for SAP error message CLASSIFICATION_TOOL220 - Maximum number of columns (&1) exceeded. ?

  The SAP error message CLASSIFICATION_TOOL220 indicates that the maximum number of columns allowed in a classification tool has been exceeded. This typically occurs when you are trying to create or manipulate a classification view or structure that has more columns than the system can handle.
  
  Cause:
  
  Exceeding Column Limit: The error is triggered when the number of columns in a classification view exceeds the predefined limit set by SAP. This limit can vary based on the specific SAP system configuration and version.
  Data Model Design: Poor data model design or an attempt to include too many attributes in a classification can lead to this issue.
  System Configuration: The system may have specific configurations that limit the number of columns for performance reasons.
  
  
  Solution:
  
  Review Classification Structure: Check the classification structure you are trying to create or modify. Reduce the number of columns by removing unnecessary attributes or consolidating similar attributes.
  Optimize Data Model: Consider optimizing your data