How To Fix RSOS_SEARCH265 - Buffering of generated SQL statements not recommended

RSOS_SEARCH265 - Overview

• Message type: E = Error

• Message class: RSOS_SEARCH -

• Message number: 265

• Message text: Buffering of generated SQL statements not recommended

What causes this issue?

You have enabled buffering of required generated SQL statements.

System Response

Buffering of generated SQL statements causes high consumption of the
application server's shared buffer infrastructure when BW Search
framework is accessed frequently. This can occur if the BW Search
infrastructure is used within other tools like the BW Modelings Tools in
Eclipse.
The generated SQL statements are typically generated for a specific
user, meaning that the information stored in the shared buffer needs to
be updated every time a single search query is run. In combination with
very frequent access as mentioned above<(>,<)> this leads to huge
performance losses when updating the shared buffer.

How to fix this error?

Disable buffering of generated SQL statements in order to avoid
performance problems.

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 RSOS_SEARCH265 - Buffering of generated SQL statements not recommended ?

  The SAP error message RSOS_SEARCH265 indicates that the system has detected a situation where the buffering of generated SQL statements is not recommended. This typically occurs in the context of SAP BW (Business Warehouse) or SAP HANA environments where SQL statements are dynamically generated for data retrieval.
  
  Cause:
  The error can arise due to several reasons, including:
  
  
  Dynamic SQL Generation: The system is generating SQL statements dynamically based on user queries or data requests. This can lead to performance issues if the SQL statements are not optimized for buffering.
  
  
  Complex Queries: If the SQL statements are complex or involve multiple joins, aggregations, or subqueries, the system may determine that buffering is not effective.
  
  
  Data Volume: Large volumes of data being processed can also lead to inefficiencies in buffering, as the overhead of managing the buffer may outweigh the benefits.
  
  
  Database Configuration: Certain database configurations or settings may not support efficient buffering for the types of queries