How To Fix WV_RRM222 - Non-uniform period split of selection variant and info structure

WV_RRM222 - Overview

• Message type: E = Error

• Message class: WV_RRM - Pricing: RRM Interface

• Message number: 222

• Message text: Non-uniform period split of selection variant and info structure

What causes this issue?

The period split &V2& from selection variants &V1& does not correspond
with period split &V4& from info structure &V3&. To clearly define the
period in the selection, both period splits must be identical.

System Response

It is not possible to define historical sales data.

How to fix this error?

Change the period split in the selection variant &V1&.
If necessary, use another suitable selection variant to read info
structure &V3&.

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 WV_RRM222 - Non-uniform period split of selection variant and info structure ?

  The SAP error message WV_RRM222, which indicates a "Non-uniform period split of selection variant and info structure," typically arises in the context of reporting or data extraction processes, particularly when dealing with planning or reporting in SAP's logistics or sales modules.
  
  Cause:
  This error usually occurs when there is a mismatch between the time periods defined in the selection variant and the time periods that the info structure can handle. Specifically, it can happen if:
  
  Selection Variant Configuration: The selection variant is set up to cover a range of periods that are not uniform or consistent with the periods defined in the info structure.
  Info Structure Settings: The info structure may have specific settings or configurations that dictate how data is aggregated or reported over time, and if the selection variant does not align with these settings, the error will be triggered.
  Data Consistency Issues: There may be inconsistencies in the data that are being