How To Fix DT737 - Logging only possible if all fields are NOT NULL

DT737 - Overview

• Message type: E = Error

• Message class: DT - Table activation (incl. indexes)

• Message number: 737

• Message text: Logging only possible if all fields are NOT NULL

What causes this issue?

Logging has been switched on for the table.,, ,,,,

System Response

The technical settings are not activated because the property 'Write
access only with Java" was chosen for this table. This combination is
only possible if all the fields of the table have the property NOT NULL.

How to fix this error?

You can remove the property 'Write access only with Java' again.
Switching off the recording would also be an option. If you wish to set
the fields to NOT NULL, remember that this can be a lengthy operation -
depending on the database.

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 DT737 - Logging only possible if all fields are NOT NULL ?

  The SAP error message DT737, which states "Logging only possible if all fields are NOT NULL," typically occurs in the context of data logging or change logging in SAP systems. This error indicates that the system is attempting to log changes to a data record, but one or more fields in that record contain NULL values. Logging requires that all fields involved in the operation have valid (non-NULL) values.
  
  Cause:
  
  NULL Values: The primary cause of this error is the presence of NULL values in one or more fields of the data record that is being processed. This can happen during data entry, data migration, or when records are being updated.
  Data Model Constraints: The data model may have constraints that require certain fields to be populated before logging can occur.
  
  Configuration Issues: There may be configuration settings in the logging mechanism that are not aligned with the data being processed.
  
  
  Solution:
  
  
  Check Data Integrity: Review