How To Fix RQ392 - &1 individual records are missing - read long text

RQ392 - Overview

• Message type: E = Error

• Message class: RQ - Messages for Cash Management and Forecast

• Message number: 392

• Message text: &1 individual records are missing - read long text

What causes this issue?

&V1& line items could not be created as the chosen daily frequency is
too low to skip a weekend or a series of non-working days if a calender
exists. The program is not able to calculate appropriate planning data
for the following line items.
The last line item created has the planning date &V2&.

System Response

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

How to fix this error?

Maintain the missing &V1& line items manually in the system.

Procedure for System Administrators

Error message extract from SAP system. Copyright SAP SE.

Smart SAP Assistant

• What is the cause and solution for SAP error message RQ392 - &1 individual records are missing - read long text ?

  The SAP error message RQ392 indicates that there are individual records missing in the system, which can occur in various contexts, such as during data processing or when trying to access certain records in the system. This error is often related to issues with data consistency or integrity in the SAP system.
  
  Cause:
  
  
  Data Inconsistency: The most common cause of this error is that the data in the database is inconsistent or incomplete. This can happen due to various reasons, such as:
  
  Data was not properly uploaded or migrated.
  Records were deleted or not created as expected.
  Issues during data replication or synchronization processes.
  
  
  
  
  Configuration Issues: Sometimes, the error can arise from incorrect configuration settings in the system that lead to missing records.
  
  
  Authorization Issues: In some cases, the user may not have the necessary authorizations to view certain records, leading to the perception that records are missing.
  
  
  
  Solution:
  
  
  Check Data Integrity: 
  
  Use transaction codes like SE16 or SE11