MSSQLSERVER_8645
Details
Product Name |
SQL Server |
Product Version |
10.0 |
Product Build Number |
10.00.0000.00 |
Event ID |
8645 |
Event Source |
MSSQLSERVER |
Component |
SQLEngine |
Symbolic Name |
MEMTIMEDOUT_ERR |
Message Text |
A time out occurred while waiting for memory resources to execute the query. Rerun the query. |
Explanation
There is not enough memory in the system to handle the query load.
User Action
Either configure the time-out value to be higher or reduce the query load to the server.
The following list outlines general steps that will help in troubleshooting memory errors:
Verify whether other applications or services are consuming memory on this server. Reconfigure less critical applications or services to consume less memory.
Start collecting performance monitor counters for SQL Server: Buffer Manager, SQL Server: Memory Manager.
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.
If you are using Address Windowing Extensions (AWE), verify that the Windows security setting Lock pages in memory' is enabled.
Observe DBCC MEMORYSTATUS output and the way it changes when you see these error messages.
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.
Internal-Only
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