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Message type: E = Error
Message class: CRMS4_PS_GROSS - Gross Entitlement and Payment
Message number: 233
Message text: Execution with partition size &1 (&2)
The system tried to read data from the view 'Maintenance View for Social
Services'. Access was performed with 'switch group id' = &v3& and
'switch value ID' = &V4&.
&V2&.
The system continues execution with partition size &V1&.
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.
CRMS4_PS_GROSS233
- Execution with partition size &1 (&2) ?The SAP error message CRMS4_PS_GROSS233, which indicates "Execution with partition size &1 (&2)", typically arises in the context of SAP CRM (Customer Relationship Management) or SAP BW (Business Warehouse) when there are issues related to data processing, particularly when dealing with large datasets or partitioned data.
Cause:
- Partition Size Limitations: The error often occurs when the partition size specified for a data processing operation exceeds the allowed limits. This can happen during data extraction, transformation, or loading processes.
- Configuration Issues: Incorrect configuration settings in the data processing job or in the system parameters can lead to this error.
- Resource Constraints: Insufficient system resources (like memory or processing power) can also trigger this error, especially when handling large volumes of data.
- Data Volume: The volume of data being processed may be too large for the specified partition size, leading to performance issues or failures.
Solution:
- Adjust Partition Size: Review and adjust the partition size settings in the relevant configuration. This can often be done in the data processing job settings or in the system parameters.
- Optimize Data Processing: If possible, break down the data processing into smaller chunks or batches to avoid hitting the partition size limit.
- Check System Resources: Ensure that the system has adequate resources (CPU, memory) to handle the data processing tasks. Consider increasing the resources if necessary.
- Review Configuration Settings: Check the configuration settings for the data processing job to ensure they are set correctly. This includes reviewing any relevant parameters in the SAP system.
- Monitor Performance: Use SAP monitoring tools to analyze the performance of the data processing jobs and identify any bottlenecks or issues that may be contributing to the error.
Related Information:
If the problem persists after trying the above solutions, it may be beneficial to consult with SAP support or your internal SAP Basis team for further assistance.
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