How To Fix RSD_TREX090 - Queries read data from the database for the next &1 seconds

RSD_TREX090 - Overview

• Message type: E = Error

• Message class: RSD_TREX - Messages from TREX Aggregate Area

• Message number: 090

• Message text: Queries read data from the database for the next &1 seconds

What causes this issue?

An error occurred in the BWA server.

System Response

The BWA server is set to "inactive" for the next 30 minutes. This means
that all queries now read the data from the database, and not from the
BWA index of the InfoCube. This can result in considerably longer
runtimes.

How to fix this error?

Correct the error in the HPA server. Then delete the entry in table
RSDDTREXHPAFAIL. The queries read from the BWA server again.

Procedure for System Administrators

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

Error message extract from SAP system. Copyright SAP SE.

Smart SAP Assistant

• What is the cause and solution for SAP error message RSD_TREX090 - Queries read data from the database for the next &1 seconds ?

  The SAP error message RSD_TREX090 typically indicates that a query is taking longer than expected to read data from the database. This can be due to various reasons, including performance issues, database locks, or inefficient query design. Here’s a breakdown of the potential causes, solutions, and related information:
  Causes:
  
  Database Performance Issues: The database may be experiencing high load or performance degradation, leading to slow query execution.
  Locks: There may be locks on the database tables that are preventing the query from executing efficiently.
  Inefficient Queries: The query itself may be poorly designed, leading to long execution times. This can include missing indexes, complex joins, or large data volumes being processed.
  Network Latency: If the database is hosted on a different server, network latency can contribute to slower data retrieval.
  Insufficient Resources: The database server may not have enough CPU, memory, or disk I/O resources to handle the query efficiently.
  
  Solutions:
  
  
  Analyze Query Performance:
  
  Use transaction codes like ST05