How To Fix BV193 - Error while calling SLIM_CNT_CONSOLIDATE_COUNTERS

BV193 - Overview

• Message type: E = Error

• Message class: BV - Customer Measurement

• Message number: 193

• Message text: Error while calling SLIM_CNT_CONSOLIDATE_COUNTERS

What causes this issue?

Internal Error: In order to be able to measure some engines, it
necessary to first consolidate the counters. (Table TUCNTRAW -> TUCNT)
An error occurred during this action. The error number is &V1&. The
error numbers mean:
1 = Error while updating table TUCNT
2 = Error in lock management
3 = Other error

System Response

This part of the measurement is terminated.

How to fix this error?

Try to start a measurement again later.

Procedure for System Administrators

If the error is in lock management, you may find information in the
syslog. Check if the message server is running. It is possible that the
server in which the Enqueue work process is running has been shut down
or crashed.

Error message extract from SAP system. Copyright SAP SE.

BV193 - Details

• The SAP error message BV193, which states "Error while calling SLIM_CNT_CONSOLIDATE_COUNTERS," typically occurs in the context of SAP BW (Business Warehouse) or SAP HANA when there is an issue with the consolidation of counters in the SLIM (SAP HANA Smart Data Integration) framework. This error can arise due to various reasons, including data inconsistencies, configuration issues, or problems with the underlying database.
  Causes:
  
  Data Inconsistencies: There may be inconsistencies in the data being processed, such as missing or corrupted records.
  
  Configuration Issues: Incorrect configuration settings in the SLIM or related components can lead to this error.
  Database Issues: Problems with the underlying database, such as connectivity issues or performance bottlenecks, can trigger this error.
  Resource Limitations: Insufficient system resources (CPU, memory, etc.) can cause the SLIM process to fail.
  Version Compatibility: Incompatibility between different versions of SAP components can also lead to errors.
  
  Solutions:
  
  Check Data Consistency: Review the data being processed for any inconsistencies or missing records.