Performance Testing using Jmeter

Performance testing is crucial to determine that the web application under test will satisfy high load requirements. It can be used to analyze overall server performance under heavy load.

     Performance Testing using Jmeter


JMeter offers following benefit in Performance testing

  • JMeter can be  used to test performance of both static resources such as JavaScript and HTML, as well as dynamic resources, such as JSP, Servlets, and AJAX.
  • JMeter can discover maximum number of concurrent users that your website can handle
  • JMeter provides a variety of graphical analyses of performance reports.

JMeter Performance Testing includes:

Performance Testing using Jmeter

  • Load Testing: Modeling the expected usage by simulating multiple user access the web services concurrently.
  • Stress Testing: Every web server has a maximum load capacity. When the load goes beyond the limit, the web server start responding slowly and produce errors. The purpose of the stress testing is to find the maximum load the web server can handle.

The figure below shows how JMeter simulates the heavy load :

Performance Testing using Jmeter

Create a Performance Test Plan in Jmeter

In this tutorial, we are doing a performance analysis of for 1000 users

Before testing the performance of target web application, we should determine-

  • Normal Load: Average number of users visit your website
  • Heavy Load: The maximum number of users visit your website
  • What is your target in this test?

Here is the roadmap of this practical example

Performance Testing using Jmeter

Step 1) Add Thread Group

  1. Start JMeter
  2. Select Test Plan on the tree
  3. Add Thread Group

Right click on the Test Plan and add a new thread group: Add -> Threads (Users) -> Thread Group

Performance Testing using Jmeter

In Thread Group control panel, enter Thread Properties as following:

Performance Testing using Jmeter

  • Number of Threads: 100 (Number of users connects to target website: 100)
  • Loop Count: 10 (Number of time to execute testing)
  • Ramp-Up Period: 100

The Thread Count and The Loop Counts are different.

Performance Testing using Jmeter

Ramp-Up Period tells JMeter how long to delay before starting next user. For example, if we have 100 users and a 100 second Ramp-Up period, then the delay between starting users would be 1 second (100 users /100 seconds)

Performance Testing using Jmeter

Step 2) Adding JMeter elements

Now we determine what JMeter elements in this test. The elements are

  • HTTP request Default

This element can be added by right-clicking on the Thread Group and selecting: Add -> Config Element -> HTTP Request Defaults.

Performance Testing using Jmeter

In the HTTP Request Defaults control panel, enter the Website name under test (

Performance Testing using Jmeter

  • HTTP Request

Right-click on Thread Group and select: Add -> Sampler -> HTTP Request.

Performance Testing using Jmeter

In HTTP Request Control Panel, the Path field indicates which URL request you want to send to Google server.

Performance Testing using Jmeter

For example, if you enter "calendar" in Path field. JMeter will create the URL request  to Google server

Performance Testing using Jmeter

If you keep  the Path field blank  JMeter will create the URL request to Google server.

In this test, you keep the Path field blank to make JMeter create the URL request to Google server.

Step 3) Adding Graph result

JMeter can show the test result in Graph format.

Right click Test Plan, Add -> Listener -> Graph Results

Performance Testing using Jmeter

Step 4) Run Test and get the test result

Press Run button (Ctrl + R) on Toolbar to start the testing process. You will see the test result display on Graph at the real time.

The picture below presents a graph of a test plan, where we simulated 100 users who accessed on website

Performance Testing using Jmeter

At the bottom of the picture, there are the following statistics, represented in colors:

  • Black: The total number of current samples sent.
  • Blue: The current average of all samples sent.
  • Red: The current standard deviation.
  • Green: Throughput rate that represents the number of requests per minute the server handled

Let analyze the performance of Google server in below figure.

Performance Testing using Jmeter

To analyze the performance of the web server under test, you should focus on 2 parameters

  • Throughput
  • Deviation

The Throughput is the most important parameter. It represents the ability of the server to handle heavy load.  The higher the Throughput is, the better is the server performance.

In this test, the throughput of Google server is 1,491.193/minute. It means Google server can handle 1,491.193 requests per minute. This value is quiet high so we can conclude that Google server has good performance

The deviation is shown in red - it indicates the deviation from the average. The smaller the better.

Let compare the performance of Google server to other web server. This is the performance test result of website (You can choose other website)

Performance Testing using Jmeter

The throughput of website under test is 867.326/minutes. It means this server handle 867.326 requests per minute, lower than Google.

The deviation is 2689, much higher than Google (577). So we can determine the performance of  this website is less than Google server.

NOTE: The above values depend on several factors like current server load at google , your internet speed, your CPU power etc. Hence, it's very unlikely that you will get the same results as above. So don't panic!


If you face the issue while running the above scenario ... do the following

  1. Check whether you are connecting to internet via a proxy. If yes, remove the proxy.
  2. Open a new instance of Jmeter
  3. Open the PerformanceTestPlan.jmx in Jmeter
  4. Double Click on Thread Group -> Graph Result
  5. Run the Test