How To Fix BRAIN_DEV135 - Too much data requested; Add filter or remove drilldown characteristic.

SAP Error Message - Details

• 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.

What causes this issue?

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.

System Response

The result set is empty. It can be filled again by removing
characteristics or adding filters.

How to fix this error?

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.

Procedure for System Administrators

Error message extract from SAP system. Copyright SAP SE.

Smart SAP Assistant

• What is the cause and solution for SAP error message BRAIN_DEV135 - Too much data requested; Add filter or remove drilldown characteristic. ?

  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