Date: Fri, 29 Mar 2024 09:06:19 +0000 (UTC)
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The Batches Received (Per Second)=
metric counts the total number of batch requests that the SQL Server =
computer receives per second. This rate is a measurement of throughput on t=
he processor.
This metric uses the counter Batch =
requests/sec
from the SQL Server SQL Statistics
counter=
object. On SQL Server 2000 instances, this counter is available through sysperfinfo. On SQL Server 2005 or later instances, this co=
unter is available through sys.dm_os_performance_counters
.
To track this metric, use the CPU Call Rates ch=
art in the CPU dashboard of the Server Overview tab.
While this counter has no good or bad val=
ue, each of these T-SQL batches must be:
- Transmitted to the server using the network.
- Parsed by SQL Server to check syntax.
- Have an execution plan compiled.
- Executed according to the execution plan.
- Have the results transmitted back to the client computer or Web site.=
li>
Reduce the number and impact of T-SQL=
batches
In this situation, you should reduce the =
number of T-SQL batches and the impact of each as much as possible by:
- Reducing the size and complexity of the T-SQL by creating a stored proc=
edure containing the commands you want executed and then simply calling it =
in the T-SQL batch. This approach reduces the size and complexity of the T-=
SQL batch, which means less network traffic and less CPU time consumed prod=
ucing a complex execution plan.
- Once you move most of the T-SQL code into stored procedures, consider g=
rouping as many of those calling T-SQL commands into a single network batch=
, if possible. Also consider redesigning the application to call only those=
stored procedures you need to complete an application function all from wi=
thin one batch rather than sending each EXECUTE statement to execute separa=
tely in its own batch. This strategy reduces network queues dramatically as=
better use is made of the default 4 KB network packet size.
>">SQL Diagnostic Manager identifies and =
resolves SQL Server performance problems before they happen. Learn more > >
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