Message type: E = Error
Message class: BRAIN_DEV - BRAIN messages (for use by development)
Message number: 135
Message text: Too much data requested; Add filter or remove drilldown characteristic.
The predefined maximum effort (see
<DS:DE.RSR_OLAPEFFORT>OLAP Effort</>) expected by the Analytic Manager
for processing the data has been reached. This can also be caused by
queries with a small result set.
The result set is empty. It can be filled again by removing
characteristics or adding filters.
Consider thinning out the query by removing characteristics from the
drilldown or by adding filters.
If the current state of the query is needed, you can raise the
predefined maximum effort (see
<DS:DE.RSR_OLAPEFFORT>OLAP Effort</>) of the query in transaction
RSRT (properties) or ask the owner of the query to do this.
Error message extract from SAP system. Copyright SAP SE.
The SAP error message BRAIN_DEV135 indicates that a query is attempting to retrieve too much data, which can lead to performance issues or exceed system limits. This typically occurs in SAP BW (Business Warehouse) or SAP BI (Business Intelligence) environments when a query is executed without sufficient filters or when too many characteristics are included in the drilldown.
Cause:
- Excessive Data Volume: The query is trying to fetch a large volume of data that exceeds the system's capacity to process it efficiently.
- Lack of Filters: The absence of filters means that the query is attempting to retrieve all available data for the selected characteristics.
- Too Many Drilldown Characteristics: Including too many characteristics in the drilldown can lead to a combinatorial explosion of data, resulting in excessive data retrieval.
Solution:
Add Filters:
- Modify the query to include filters that limit the data being retrieved. This can be done by specifying date ranges, specific values for characteristics, or other relevant criteria.
Reduce Drilldown Characteristics:
- Simplify the query by reducing the number of drilldown characteristics. Focus on the most relevant dimensions for your analysis to minimize the data volume.
Aggregate Data:
- If possible, consider using aggregated data instead of detailed transactional data. This can significantly reduce the amount of data being processed.
Optimize Query Design:
- Review the query design and ensure that it is optimized for performance. This may involve adjusting the structure of the query, using variables, or leveraging pre-calculated data.
Check System Settings:
- Consult with your SAP Basis team to ensure that system settings (like memory allocation and timeout settings) are configured appropriately to handle larger queries.
Use Query Variables:
- Implement query variables to allow users to input specific criteria at runtime, which can help in filtering the data dynamically.
Related Information:
By following these steps, you should be able to resolve the BRAIN_DEV135 error and improve the performance of your SAP queries.
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