How To Fix MQ350 - Maximum number of clusters (9998) exceeded

SAP Error Message - Details

• Message type: E = Error

• Message class: MQ - Messages for Euro Changeover Package

• Message number: 350

• Message text: Maximum number of clusters (9998) exceeded

What causes this issue?

In cluster table EWUCLU you need more than 9998 blocks at 5 MB
(standard size) to save your table. This means it is not possible to
store the entire table. The number of blocks is restricted to 9999, and
the last cluster block is reserved as an error cluster.

System Response

The program terminates in the selection phase as soon as this limit is
exceeded.

How to fix this error?

You need to increase the size of the cluster block for this table. The
cluster block size has been set at 5 MB in the standard system. By
making an entry in exception table EWUCLCT you can change this and
other parameters. Following this is it possible to restart the
conversion using the IMG.
For more detailed information consult Note 168728.

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 MQ350 - Maximum number of clusters (9998) exceeded ?

  The SAP error message MQ350 indicates that the maximum number of clusters (9998) has been exceeded in the SAP system. This error typically occurs in the context of SAP's database management, particularly when dealing with the clustering of database objects or when managing large volumes of data.
  
  Cause:
  
  Cluster Limit Exceeded: The primary cause of this error is that the system has reached the maximum limit of clusters that can be created. In SAP, a cluster is a logical grouping of database tables that are stored together for performance reasons.
  Data Model Design: Poor data model design or an excessive number of cluster tables can lead to this issue. If the application is designed to create many clusters without proper management, it can quickly hit the limit.
  Database Configuration: The database configuration may not be optimized for the volume of data being processed, leading to an excessive number of clusters being created.
  
  
  Solution:
  
  Review Data Model: