How To Fix ESH_TST_SMK_MSG043 - Indexing took too much time


ESH_TST_SMK_MSG043 - Overview

  • Message type: E = Error

  • Message class: ESH_TST_SMK_MSG - Smoke Test

  • Message number: 043

  • Message text: Indexing took too much time

  • Show details Hide details


  • 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.



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Smart SAP Assistant

  • What is the cause and solution for SAP error message ESH_TST_SMK_MSG043 - Indexing took too much time ?
    The SAP error message ESH_TST_SMK_MSG043 indicates that the indexing process for the SAP Enterprise Search (SAP ESH) took longer than expected. This can happen for various reasons, and addressing the issue typically involves a combination of performance tuning, system checks, and configuration adjustments.
    Causes:
    
    Large Data Volume: If the data being indexed is large, it can lead to longer processing times.
    System Performance: Insufficient system resources (CPU, memory, disk I/O) can slow down the indexing process.
    Database Performance: Slow database queries or locks can impact the time taken for indexing.
    
    Configuration Issues: Incorrect configuration settings for the indexing process can lead to inefficiencies. Network Latency: If the indexing process involves remote systems, network issues can cause delays. Background Jobs: Other background jobs running simultaneously may compete for resources, affecting indexing performance. Solutions: Monitor System Resources: Check CPU, memory, and disk usage during the indexing process. Ensure that the system has adequate resources. Optimize Database Performance: Analyze and optimize database queries related

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