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Home 2017 February SQL Server: Script to find Open Connections and CPU Usage of each Client Programs

SQL Server: Script to find Open Connections and CPU Usage of each Client Programs

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In this post, I am sharing one aggregation script to find the total number of occupied connections and CPU usage by each SQL Server client or programs.

This is a very important script for SQL Server DBAs. Using this script, they can find information like ProgramName, TotalOpenConnections and Usage Of CPU for each Program which are connected to SQL Server Database.

When you are facing the overhead connection problem, you can easily find the total number of connections occupied by each program or clients of SQL Server. Later, it helps you to debug your problem in the proper area.

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SELECT
convert(varchar(50), program_name) as ProgramName
,count(*) as TotalInstances
,sum(cpu) as CPUSum
,sum(datediff(second, login_time, getdate())) as SumOfSecond
,convert(float, sum(cpu)) / convert(float, sum(datediff(second, login_time, getdate()))) as PerformanceScore
,convert(float, sum(cpu)) / convert(float, sum(datediff(second, login_time, getdate()))) / count(*) as ProgramPerformance
FROM master..sysprocesses
WHERE spid > 50
GROUP BY
convert(varchar(50), program_name)
ORDER BY PerformanceScore DESC

Feb 24, 2017Anvesh Patel
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Anvesh Patel
Anvesh Patel

Database Engineer

February 24, 2017 SQL Server, SQL Server DBA ScriptAnvesh Patel, cpu usage, database, database research and development, dbrnd, open connections, running sessions, SQL Query, SQL Server, SQL Server Administrator, sql server client program, SQL Server Monitoring, SQL Server Performance Tuning, SQL Server Tips and Tricks, TSQL
About Me!

I'm Anvesh Patel, a Database Engineer certified by Oracle and IBM. I'm working as a Database Architect, Database Optimizer, Database Administrator, Database Developer. Providing the best articles and solutions for different problems in the best manner through my blogs is my passion. I have more than six years of experience with various RDBMS products like MSSQL Server, PostgreSQL, MySQL, Greenplum and currently learning and doing research on BIGData and NoSQL technology. -- Hyderabad, India.

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