How To Fix SDBALM096 - Proportion of log queue overflows to log queue inserts (in %)

SDBALM096 - Overview

• Message type: E = Error

• Message class: SDBALM - SAP DB and liveCache Alert Monitoring

• Message number: 096

• Message text: Proportion of log queue overflows to log queue inserts (in %)

Description
The system displays the proportion (in %) of the log queue overflows to
the log queue inserts since the last run of the data collector.
In the case of the first run of the data collector after a restart or
after the Alert Monitor is started, the system displays the proportion
since the restart.
Data Collector
<ZH>Collector B</>
(RZ20 -> SAP CCMS Technical Experts Monitors -> All Monitoring Contexts
,,-> <Name of the database connection> -> Collectors and Internals
-> Collectors -> Collector B)

The system issues an error message and will not allow you to continue with this transaction until the error is resolved.

Preset runtime interval of Collector B: 15 minutes

Error message extract from SAP system. Copyright SAP SE.

Smart SAP Assistant

• What is the cause and solution for SAP error message SDBALM096 - Proportion of log queue overflows to log queue inserts (in %) ?

  The SAP error message SDBALM096 indicates that the proportion of log queue overflows to log queue inserts has exceeded a certain threshold. This typically occurs in the context of database logging, where the system is unable to keep up with the volume of log entries being generated, leading to potential data loss or performance issues.
  
  Cause:
  
  High Volume of Transactions: A sudden increase in the number of transactions or changes being logged can overwhelm the log queue.
  Insufficient Log Queue Size: The log queue may not be sized appropriately for the volume of data being processed.
  Database Performance Issues: Slow database performance can lead to delays in processing log entries, causing the queue to fill up.
  
  Configuration Issues: Incorrect configuration settings for logging parameters can lead to inefficient logging behavior.
  Long-running Transactions: Transactions that take a long time to complete can hold up log processing, leading to overflow.
  
  
  Solution:
  
  Increase Log Queue Size: Adjust the configuration to increase