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Message type: E = Error
Message class: RSMPC - Messages for Process Chains of Generic Processes
Message number: 130
Message text: Requ. &1, data package &2 updated correctly, but number of recs. missing
Data package &V2& of request &V1& was updated correctly, but the number
of records in activation request &V3& is missing in the return table.
After counting the records, a new entry for activation request &V3& is
included in the return table.
&V4& records were inserted in the output change log.
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.
RSMPC130
- Requ. &1, data package &2 updated correctly, but number of recs. missing ?The SAP error message RSMPC130 indicates that a data package was processed correctly, but the number of records expected to be updated does not match the actual number of records that were processed. This can occur in various scenarios, particularly in data extraction and loading processes, such as during the execution of data transfer processes (DTP) in SAP BW (Business Warehouse).
Cause:
- Data Filtering: The data package may have been filtered, resulting in fewer records being processed than expected.
- Data Quality Issues: There may be issues with the source data, such as missing or invalid records that prevent them from being processed.
- Transformation Errors: If there are transformations applied to the data, they may be causing records to be dropped or not processed correctly.
- Data Load Settings: Incorrect settings in the data load process, such as incorrect target settings or update modes, can lead to discrepancies in record counts.
- Technical Issues: There may be technical issues, such as database locks or connectivity problems, that affect the data load process.
Solution:
- Check Data Source: Verify the data source to ensure that the expected number of records is available for processing. Look for any filters or conditions that may be limiting the data.
- Review Transformation Logic: Examine the transformation rules applied to the data to ensure they are correct and not inadvertently filtering out records.
- Monitor Data Load Process: Use transaction codes like
RSA1
(Data Warehousing Workbench) to monitor the data load process and check for any warnings or errors that may provide additional context.- Check for Data Quality Issues: Run data quality checks on the source data to identify any missing or invalid records that could be causing the issue.
- Adjust Load Settings: Review the settings in the DTP or data load process to ensure they are configured correctly for the expected outcome.
- Re-run the Process: After making necessary adjustments, re-run the data load process to see if the issue persists.
Related Information:
RSA1
for monitoring data loads, RSMO
for monitoring process chains, and RSPC
for process chain management.If the issue persists after following these steps, it may be beneficial to consult with your SAP Basis or BW team for further investigation, as they may have access to logs and additional tools to diagnose the problem.
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