How To Fix DDLS_HIER062 - Datatype for valid_to &1 is not as data type for valid_from &2

SAP Error Message - Details

• Message type: E = Error

• Message class: DDLS_HIER - Used for DDL Hierarchies

• Message number: 062

• Message text: Datatype for valid_to &1 is not as data type for valid_from &2

Self-Explanatory Message

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Smart SAP Assistant

• What is the cause and solution for SAP error message DDLS_HIER062 - Datatype for valid_to &1 is not as data type for valid_from &2 ?

  The SAP error message DDLS_HIER062 indicates a mismatch in data types between two fields, specifically valid_to and valid_from. This error typically arises in the context of hierarchical data structures or when defining data elements in a Data Dictionary (DDIC) in SAP.
  Cause:
  The error occurs when the data types of the valid_to and valid_from fields are not compatible. For example, if valid_from is defined as a DATE type and valid_to is defined as a TIMESTAMP type, this mismatch will trigger the error. The system expects both fields to have the same data type to ensure consistency in data handling.
  Solution:
  To resolve this error, you need to ensure that both fields have the same data type. Here are the steps you can take:
  
  
  Check Data Element Definitions:
  
  Go to the Data Dictionary (transaction SE11).
  Check the definitions of the valid_from and valid_to fields.
  Ensure that both fields are defined with the same data type (e.g., both as DATE or both as TIMESTAMP).
  
  
  
  Modify Data Types:
  
  If you find that the data types are different, you will need to modify one of the fields to match the other.
  Make sure to consider the implications of changing data types, especially if the fields are already in use in existing tables or programs.
  
  
  
  Activate Changes:
  
  After making the necessary changes, activate the data elements and any related objects to ensure that the changes take effect.
  
  
  
  Test the Changes:
  
  After activation, test the functionality that was causing the error to ensure that the issue has been resolved.
  
  
  
  Related Information:
  
  Data Dictionary (DDIC): The central repository in SAP for managing data definitions, including tables, views, data elements, domains, etc.
  Data Types: Common data types in SAP include CHAR, NUMC, DATE, TIMESTAMP, etc. Understanding these types is crucial for defining fields correctly.
  Transaction Codes: Familiarize yourself with relevant transaction codes such as SE11 (Data Dictionary), SE14 (Database Utility), and SE80 (Object Navigator) for managing and troubleshooting data definitions.
  
  If you continue to experience issues after following these steps, consider consulting SAP documentation or reaching out to your SAP support team for further assistance.