Could not perform the requested operation because the minimum query memory is not available. Decrease the configured value for the ‘min memory per query’ server configuration option.

Other processes are consuming server memory (exerting memory pressure in the server).

Either decrease the configured value for the min memory per query’ server configuration option or reduce the query load to the server.

The following list outlines general steps that will help in troubleshooting memory errors:

1. Verify whether other applications or services are consuming memory on this server. Reconfigure less critical applications or services to consume less memory.

2. Start collecting performance monitor counters for
   SQL Server: Buffer Manager
   ,
   SQL Server: Memory Manager
   .

3. Check the following SQL Server memory configuration parameters:

   • max server memory

   • min server memory

   • awe enabled

   • min memory per query

   Notice unusual settings. Correct them as necessary. Account for increased memory requirements for SQL Server 2005. Default settings are listed in “Setting Server Configuration Options” in SQL Server Books Online.

4. If you are using Address Windowing Extensions (AWE), verify that the Windows security setting
   Lock pages in memory
   ‘ is enabled.

5. Observe DBCC MEMORYSTATUS output and the way it changes when you see these error messages.

6. Check the workload (for example, number of concurrent sessions, currently executing queries).

The following actions may make more memory available to SQL Server:

• If applications besides SQL Server are consuming resources, try stopping running these applications or consider running them on a separate server. This will remove external memory pressure.

• If you have configured
  max server memory,
  increase its setting.

Run the following DBCC commands to free several SQL Server memory caches.

• DBCC FREESYSTEMCACHE

• DBCC FREESESSIONCACHE

• DBCC FREEPROCCACHE

If the problem continues, you will need to investigate further and possibly reduce workload.