How To Fix ESH_HANA_FL_ADMIN097 - Required success threshold &1% NOT met (non-fail ratio: &2%)


ESH_HANA_FL_ADMIN097 - Overview

  • Message type: E = Error

  • Message class: ESH_HANA_FL_ADMIN - ESH HANA File Loader

  • Message number: 097

  • Message text: Required success threshold &1% NOT met (non-fail ratio: &2%)

  • Show details Hide details
  • What causes this issue?

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

    System Response

    How to fix this error?

    To change settings like "Success Threshold", use the following
    maintenance views or go to IMG (SPRO, SAP NetWeaver Implementation Guide
    -> Search and Operational Analytics -> Enterprise Search -> File Loader
    Configuration
    Change global settings:
    File Loader System Settings:
    Maintain Table Views (transaction SM30, view ESH_CU_FL_SET_SY)
    Change connector specific settings:
    File Loader Settings:
    View Cluster Maintenance (transaction SM34, view VC_ESH_PSIZE)

    Procedure for System Administrators


    Error message extract from SAP system. Copyright SAP SE.


ESH_HANA_FL_ADMIN097 - Details

  • The SAP error message ESH_HANA_FL_ADMIN097 indicates that a required success threshold for a certain operation has not been met. This error typically arises in the context of SAP HANA and the SAP Enterprise Search (ESH) framework, particularly when dealing with the administration of full-text search indexes.
    
    Cause: The error message specifies that the non-fail ratio (the percentage of successful operations) is below the required threshold. This can occur due to several reasons: Indexing Issues: There may be problems with the indexing process, such as data inconsistencies or failures during the indexing of documents. System Performance: The HANA system may be under heavy load, leading to timeouts or failures in processing requests. Configuration Errors: Incorrect configuration settings for the search or indexing processes can lead to failures. Data Quality Issues: If the data being indexed has quality issues (e.g., missing fields, incorrect formats), it can lead to failures in the indexing process.
    Solution: To resolve this error, you can

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