How To Fix SDBALM177 - High proportion of OMS rollback data in the data cache (&1&3 > &2&3)

SDBALM177 - Overview

• Message type: E = Error

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

• Message number: 177

• Message text: High proportion of OMS rollback data in the data cache (&1&3 > &2&3)

Self-Explanatory Message

Since SAP believes that this specific error message is 'self-explanatory,' no more information has been given.The majority of messages in the SAP system have a message text, however this is frequently insufficient to comprehend or resolve the problem.

To make things easier, more detailed information is frequently added to describe the issue, how to fix it, and the necessary steps or configuration modifications.

Unfortunately, there isn't any extra information in this error notice.

What else can you do?

First, use our AnswerBot below to get a possible cause and solution (requires a premium subscription).

Also, review the in-depth Common Questions & Answers listed below; you could discover a solution there or be able to connect with others who have faced similar challenges.

You can also try searching the SAP support portal (support.sap.com) but you need a special user ID to access it. It is possible that an SAP support note exists that provides additional details about the mistake or even steps for fixing it.

Smart SAP Assistant

• What is the cause and solution for SAP error message SDBALM177 - High proportion of OMS rollback data in the data cache (&1&3 > &2&3) ?

  The SAP error message SDBALM177 indicates that there is a high proportion of Online Transaction Processing (OLTP) rollback data in the data cache. This situation can lead to performance issues and may affect the overall stability of the system. The message typically includes parameters that specify the current and threshold values for the rollback data.
  
  Cause:
  The high proportion of rollback data in the data cache can be caused by several factors, including:
  
  
  Long-running Transactions: Transactions that take a long time to complete can generate a significant amount of rollback data, especially if they are frequently interrupted or rolled back.
  
  
  Frequent Rollbacks: If there are many transactions that are being rolled back, this can lead to an accumulation of rollback data in the cache.
  
  
  Insufficient Memory Allocation: If the data cache is not adequately sized to handle the workload, it may lead to a higher proportion of rollback data.
  
  
  Inefficient SQL Statements: Poorly optimized SQL queries