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Message type: E = Error
Message class: BRAIN -
Message number: 126
Message text: The program generated exceeds generation limits
Program &V1& of the query could not be generated without errors because
the limits for generated reports in ABAP had been exceeded.
The system issues an error message and will not allow you to continue with this transaction until the error is resolved.
Try to simplyfy the query definition. You can get tips on problems
with query definitions by clicking on the <ZK>technical info</>
pushbutton in transaction RSRT1.
Error message extract from SAP system. Copyright SAP SE.
BRAIN126
- The program generated exceeds generation limits ?The SAP error message BRAIN126 indicates that a program has exceeded the generation limits set within the SAP system. This typically occurs in the context of SAP BW (Business Warehouse) or SAP BI (Business Intelligence) when dealing with queries, reports, or data processing tasks that generate a large amount of data or require extensive processing.
Cause:
- Excessive Data Volume: The query or report is trying to process or generate too much data at once, exceeding the limits set for the system.
- Complex Queries: Queries that involve multiple joins, aggregations, or calculations can lead to high resource consumption.
- System Configuration: The system may have been configured with conservative limits for memory or processing to ensure stability.
- Inefficient Data Model: Poorly designed data models or inflexible InfoProviders can lead to inefficient data retrieval and processing.
Solution:
Optimize Queries:
- Simplify the query by reducing the number of key figures or dimensions.
- Use filters to limit the data set being processed.
- Avoid complex calculations in the query if possible.
Adjust System Parameters:
- Consult with your SAP Basis team to review and potentially adjust the generation limits in the system configuration.
- Increase memory allocation or processing limits if the system allows for it.
Data Aggregation:
- Consider pre-aggregating data in InfoCubes or using aggregate tables to reduce the volume of data processed in real-time queries.
Batch Processing:
- If applicable, break down the data processing into smaller batches to avoid hitting the limits.
Review Data Model:
- Analyze the data model for inefficiencies and consider redesigning InfoProviders or queries to improve performance.
Use of Background Jobs:
- If the task can be run as a background job, schedule it to run during off-peak hours to reduce the load on the system.
Related Information:
If the issue persists after trying the above solutions, it may be beneficial to engage SAP support for further assistance.
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*---Deleted----*
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