How To Fix DBMAN896 - Could not save InfoProvider data in the TREX index

SAP Error Message - Details

• Message type: E = Error

• Message class: DBMAN - Data Manager Message Class

• Message number: 896

• Message text: Could not save InfoProvider data in the TREX index

What causes this issue?

You are trying to save the query in a TREX index, but the query has not
been completely processed in the TREX.
A result can only be saved in a TREX index if the complete query has
been processed in the TREX. This is the case for example if the query
only contains BasisCubes that active BWA indexes exist for and the query
only reads data that has already been rolled up.

System Response

The system terminates the query with an error.

How to fix this error?

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 DBMAN896 - Could not save InfoProvider data in the TREX index ?

  The SAP error message DBMAN896: Could not save InfoProvider data in the TREX index typically occurs in the context of SAP BW (Business Warehouse) or SAP HANA environments when there is an issue with the TREX (Text Retrieval and Extraction) indexing service. This service is responsible for indexing and searching data in SAP BW.
  Causes:
  
  TREX Service Issues: The TREX service may not be running or may have encountered an error.
  Configuration Problems: There may be misconfigurations in the TREX settings or in the InfoProvider settings.
  Data Volume: Large volumes of data being processed can lead to timeouts or resource limitations.
  Database Issues: Problems with the underlying database can also affect the ability to save data in the TREX index.
  Network Issues: Connectivity problems between the SAP application server and the TREX server can lead to this error.
  Insufficient Resources: The TREX server may not have enough memory or CPU resources to handle the indexing request.
  
  Solutions:
  
  Check TREX