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Message type: E = Error
Message class: HRPAYTR03 -
Message number: 646
Message text: & : Date field hierarchy is lower than key figure hierarchy
The date for determining the period comes from a lower hierarchy than
the key figure.
Choose a date field for period determination that comes from a higher
hierarchy than the key figure.
Error message extract from SAP system. Copyright SAP SE.
HRPAYTR03646
- & : Date field hierarchy is lower than key figure hierarchy ?The SAP error message HRPAYTR03646, which states "Date field hierarchy is lower than key figure hierarchy," typically occurs in the context of SAP HR (Human Resources) or Payroll when there is a mismatch between the date field hierarchy and the key figure hierarchy in a report or data processing scenario.
Cause:
This error usually arises due to the following reasons:
Hierarchy Mismatch: The date field being used in the report or calculation is at a different level of granularity compared to the key figure. For example, if the key figure is aggregated at a monthly level, but the date field is at a daily level, this mismatch can trigger the error.
Configuration Issues: There may be issues in the configuration of the data model or reporting structure, where the hierarchies for dates and key figures are not aligned properly.
Data Integrity Issues: If there are inconsistencies in the data being processed, such as missing or incorrectly formatted dates, this can also lead to the error.
Solution:
To resolve the HRPAYTR03646 error, you can take the following steps:
Check Hierarchies: Review the hierarchies defined for both the date field and the key figure. Ensure that they are aligned in terms of granularity. If necessary, adjust the reporting or data extraction logic to ensure compatibility.
Adjust Reporting Parameters: If you are running a report, check the parameters you are using. Make sure that the date range and key figure settings are compatible.
Configuration Review: If you have access to the configuration settings, review the settings for the relevant infotypes, data models, or reporting structures to ensure that they are set up correctly.
Data Validation: Validate the data being processed to ensure that there are no missing or incorrectly formatted date entries. Clean up any inconsistencies in the data.
Consult Documentation: Refer to SAP documentation or notes related to this error message for any specific guidance or patches that may address the issue.
Seek Support: If the issue persists, consider reaching out to your SAP support team or consulting with an SAP expert who can provide more tailored assistance based on your specific system configuration and data.
Related Information:
By following these steps, you should be able to identify the root cause of the error and implement a suitable solution.
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