How To Fix RSD_TREX221 - Table '&1' contains too many records. Check not possible.

RSD_TREX221 - Overview

• Message type: E = Error

• Message class: RSD_TREX - Messages from TREX Aggregate Area

• Message number: 221

• Message text: Table '&1' contains too many records. Check not possible.

What causes this issue?

The table has a large number of entries. A record-by-record comparison
of the DB table and the BWA index would take a very long time.

System Response

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

How to fix this error?

If you execute this check anyway, you have to change the value for the
maximum number of records. To do this, make an entry for the table
RSDDTREXADMIN. In the object field, enter 'MAXLINES' and in the value
field, enter the maximum number of records per table/index. The default
value, which is the value if there is an initial entry or no entry in
RSDDTREXADMIN, is 10,000. The system limit is 100,000 - more than that
cannot be compared. If this is the case, choose other, quicker tests.

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 RSD_TREX221 - Table '&1' contains too many records. Check not possible. ?

  The SAP error message RSD_TREX221 indicates that a specific table contains too many records, which prevents the system from performing a check or operation on that table. This error typically occurs in the context of SAP BW (Business Warehouse) or SAP HANA when dealing with large datasets.
  
  Cause:
  
  Large Data Volume: The primary cause of this error is that the table in question has exceeded the threshold for the number of records that can be processed in a single operation. This can happen if the data volume is very high, especially in scenarios involving large InfoProviders or queries.
  System Limitations: There may be system-imposed limits on the number of records that can be processed at once, which can vary based on configuration and system resources.
  Inefficient Query Design: Sometimes, the design of the query or the InfoProvider may lead to excessive data being pulled, triggering this error.
  
  
  Solution:
  
  
  Reduce Data Volume: 
  
  Filter Data: Apply filters to