How To Fix IDMX304 - Original input message: error reading data group &1 with field index &2

IDMX304 - Overview

• Message type: E = Error

• Message class: IDMX - Localization Mexico - Digital Invoice

• Message number: 304

• Message text: Original input message: error reading data group &1 with field index &2

What causes this issue?

The system cannot read the data extract to create the original input
message.
The group number describes the data from an organizational point of
view, which the system adds to the original input message once, or
repeats several times, as defined by Mexican law.
The field describes the position (index) within the group. The system
cannot access the relevant position within the data extract.

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

System Response

The system stops processing because the system cannot create the
character string to be signed correctly.

How to fix this error?

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 IDMX304 - Original input message: error reading data group &1 with field index &2 ?

  The SAP error message IDMX304 typically indicates an issue with reading data from a specific data group in the context of IDoc processing or data mapping. The message provides two parameters: &1, which represents the data group, and &2, which represents the field index. This error can occur in various scenarios, such as during the processing of IDocs, data imports, or when using the SAP Data Services.
  Cause
  The error can be caused by several factors, including:
  
  Data Group 
  Configuration Issues: The specified data group may not be correctly configured or may not exist in the system.
  Field Index Problems: The field index specified may be out of range or not correspond to any field in the data group.
  Data Mapping Errors: There may be issues in the mapping configuration that lead to incorrect references to data groups or fields.
  Data Integrity Issues: The data being processed may be corrupted or not conforming to the expected