How To Fix CNV_IUUC_REPL_TS054 - Latency for table &1 is &2s (average of last 24 hours)

SAP Error Message - Details

• Message type: E = Error

• Message class: CNV_IUUC_REPL_TS - Messages for troubleshooting functions

• Message number: 054

• Message text: Latency for table &1 is &2s (average of last 24 hours)

What causes this issue?

The average latency for table &1 in the last 24 hours is &V2&.

System Response

Based on your system settings, this message could be interpreted as an
error, a warning, or just as information.

How to fix this error?

If the current latency is not satisfactory for table &V1&, you need to
analyze the replication performance. We recommend that you engage the
services of a consultant with experience with the SAP Landscape
Transformation Replication Server for this purpose.
For general system performance issues, contact your system
administrator.

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

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 CNV_IUUC_REPL_TS054 - Latency for table &1 is &2s (average of last 24 hours) ?

  The SAP error message CNV_IUUC_REPL_TS054 indicates that there is a latency issue for a specific table in the SAP system. This message is typically related to the SAP Landscape Transformation (SLT) replication process, which is used to replicate data in real-time from a source system to a target system.
  Cause:
  The latency for the specified table (&1) being reported as &2 seconds (the average over the last 24 hours) suggests that the data replication process is not keeping up with the changes being made in the source system. This can be caused by several factors, including:
  
  High Volume of Data Changes: A large number of changes in the source table can overwhelm the replication process.
  Performance Issues: The target system may be experiencing performance issues, such as high CPU or memory usage, which can slow down the processing of incoming data.
  Network Latency: If there are network issues between the source and target systems, this can lead to delays in data transfer.
  Configuration Issues: Incorrect configuration of the SLT replication settings can lead to inefficiencies in data processing.
  Locking Issues: If there are locks on the source table, this can delay the reading of changes.
  
  Solution:
  To address the latency issue, consider the following steps:
  
  Monitor System Performance: Check the performance metrics of both the source and target systems. Look for CPU, memory, and disk I/O bottlenecks.
  Analyze Data Volume: Review the volume of changes being made to the source table. If the volume is high, consider optimizing the data changes or batching them.
  Check Network Performance: Ensure that there are no network issues affecting the data transfer between the source and target systems.
  Review SLT Configuration: Verify the SLT configuration settings to ensure they are optimized for your data volume and system performance.
  Adjust Replication Settings: If necessary, adjust the replication settings in SLT to better handle the data load, such as increasing the number of parallel processes.
  Check for Locks: Investigate if there are any locks on the source table that could be causing delays in reading changes.
  Consult SAP Notes: Look for any relevant SAP Notes that may address known issues or provide additional guidance on optimizing SLT performance.
  
  Related Information:
  
  SLT Monitoring Tools: Use the SLT monitoring tools available in SAP to get insights into the replication process and identify bottlenecks.
  Transaction Codes: Familiarize yourself with relevant transaction codes such as LTRC (SLT Monitoring) and LTRC_ADMIN (SLT Administration) for monitoring and managing the replication process.
  SAP Documentation: Refer to the official SAP documentation for SLT for best practices and configuration guidelines.
  
  By following these steps, you should be able to identify the root cause of the latency issue and implement appropriate solutions to mitigate it.