This post is about finding the number of concurrent users. The concurrent users helps to do the capacity planning for SharePoint. Below are the main attributes required to do the capacity planning for SharePoint 2010/2013.

One of the main attribute for the planning is the Concurrent users. Below are the steps required to find the concurrent users

1. Enable the IIS Logs in the server
2. Collect the logs for particular period
3. Install Log Parser Tool
4. Analyse the Log file using the Log Parser.
5. Finally can plot a graph or use the data in any form

You can download the load.txt and the bat file in the skydrive

Step 1:

Before collecting the IIS log files, make sure the below attributes are enabled in the IIS. These attributes are the key to do analysis. The below fields can be enabled in IIS.

Step 2:

After enabling the necessary attributes, allow the application to be used for few days. After few days collect the IIS log from the c:\inetpub\logs\logfiles\. The log files will be scattered with multiple directories. Usually it is better to set s particular directory to the IIS site for easy gathering of log files. The log files will be *.log extension. Usually the analysis is done out of the server. So collect all the files and copy it to the local desktop for analysis.

Step 3:

Install the log parser tool in the local laptop or the desktop where the log files are collected. The log parser can be downloaded from the below location

http://www.microsoft.com/en-us/download/details.aspx?id=24659

After installing the logparser better to add the logparser exe path to the environment Path folder. It will be easy to execute the logparser from any directory from command prompt if added the path to environment variable PATH.

Step 4:

To get the concurrent users follow the below steps

Copy the below text into the Load.txt file

select EXTRACT_FILENAME(LogFilename),LogRow,

date, time, cs-method, cs-uri-stem, cs-username, c-ip, cs(User-Agent), cs-host, sc-status, sc-substatus, sc-bytes, cs-bytes, time-taken,

add(
   add(
      mul(3600,to_int(to_string(to_localtime(to_timestamp(date,time)),’hh’))),
      mul(60,to_int(to_string(to_localtime(to_timestamp(date,time)),’mm’)))
   ),
   to_int(to_string(to_localtime(to_timestamp(date,time)),’ss’))
) as secs,

to_int(to_string(to_localtime(to_timestamp(date,time)),’yy’)) as yy,
to_int(to_string(to_localtime(to_timestamp(date,time)),’MM’)) as mo,
to_int(to_string(to_localtime(to_timestamp(date,time)),’dd’)) as dd,

to_int(to_string(to_localtime(to_timestamp(date,time)),’hh’)) as hh,
to_int(to_string(to_localtime(to_timestamp(date,time)),’mm’)) as mi,
to_int(to_string(to_localtime(to_timestamp(date,time)),’ss’)) as ss,

to_lowercase(EXTRACT_PATH(cs-uri-stem)) as fpath, 
to_lowercase(EXTRACT_FILENAME(cs-uri-stem)) as fname, 
to_lowercase(EXTRACT_EXTENSION(cs-uri-stem)) as fext

from *.log

where sc-status401

After copying the above text into load.txt run the log parser. Assume that all the IIS files are in the c:\iislogs\. Run the command prompt in admin mode. use the commnd to navigate to the log folder say cd c:\iislogs.

In my case the log files are in d:\log files\april 2013

Run the below command in the command prompt to create a bigo.csv in the log folder which later can be used for analysis.

logparser -i:IISW3C file:load.txt -o:csv -q >bigo.csv

The above command will create a bigo.csv in the folder. I have created a bat file based on the blog mentioned here http://blogs.msdn.com/b/markarend/archive/2012/02/24/measuring-concurrent-site-users.aspx

Create a Batch file named ConCurrentUser.bat and add the below script into it

SET inputCSV=%1
if ‘%inputCSV%’==” GOTO USAGE

REM outputCSV has no extension, it’s added later
SET outputCSV=UserConcurrency

SET concurrencyPeriod=%2
if ‘%concurrencyPeriod%’==” GOTO USAGE

SET concurrencyField=%3
if ‘%concurrencyField%’==” SET concurrencyField=c-ip

REM Set a filter to match requests that should be excluded
REM %%Service%% matches our service accounts (like search), exclude them
REM …if you don’t want a filter, use SET filter=0 IS NULL
SET filter=(cs-username LIKE ‘%%Service%%’)

echo.
echo Counting Concurrent Users
echo inputCSV         : %inputCSV%
echo outputCSV        : %outputCSV%.csv
echo concurrencyField : %concurrencyField%
echo concurrencyPeriod: %concurrencyPeriod% seconds

echo.
echo First stage, quantizing to %concurrencyPeriod% seconds…
logparser -i:CSV -o:CSV “SELECT DISTINCT %concurrencyField%, date, QUANTIZE(TO_TIMESTAMP(time,’hx:mx:sx’), %concurrencyPeriod%) AS Period, COUNT(*) as Requests INTO temp1-%outputCSV%.csv FROM %inputCSV% WHERE %concurrencyField% IS NOT NULL AND NOT %filter% Group By  Date, Period, %concurrencyField%”

echo.
echo Second stage, grouping…
logparser -i:CSV -o:CSV “SELECT date, to_string(to_timestamp(Period,’hx:mx:sx’),’hh’) as Hour, Period, count(%concurrencyField%) as UserCount, sum(Requests) as RequestCount INTO temp2-%outputCSV%.csv From temp1-%outputCSV%.csv Group by date, Period”
logparser -i:CSV -o:CSV “SELECT Hour, avg(UserCount) as Concurrent-Users(q%concurrencyPeriod%), sum(RequestCount) as Total-Requests(q%concurrencyPeriod%) INTO %outputCSV%-%concurrencyPeriod%.csv From temp2-%outputCSV%.csv GROUP BY Hour ORDER BY Hour”

GOTO DONE

:USAGE

echo.
echo # Usage:
echo #
echo # ConcurrentUsers inputCSV seconds [fieldname]
echo #
echo # inputCSV : csv file (or *.csv) of log entries with fields: date, time, c-ip or [fieldname], other
echo # seconds  : concurrency quantization level.  Typical values 300 and 600 seconds
echo # fieldname: field to evaluate for concurrency.  Typical values c-ip (default) and cs-username
echo #
echo # Example  : ConcurrentUsers BigO.csv 300
echo.

:DONE

Now run the below command in the command prompt to get the concurrent users for multiple periods

ConcurrentUser BigO.csv 300

ConcurrentUser BigO.csv 1200

ConcurrentUser BigO.csv 3600

Using the result from the above command we can plot the graph in the excel.