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Apache JMeter for Performance and Load Testing

JMeter is a free software Java desktop framework for performance measurement and load testing. This could simulate loads in a range of scenarios and generate performance data in a variety of formats, including CSV and XML files and also graphs. Learn how to perform load tests, application performance, software latency, checking response time, etc. through this online Jmeter Training course to enhance your skills on Jmeter. Let’s now look into the subject.

Load Testing with JMeter

The Load Testing of JMeter is a testing method that employs the Apache JMeter load testing platform, which is a Java-based free desktop framework. JMeter for load testing is a critical method for determining whether or not the web application which is under the test can handle heavy loads. It also aids in the analysis of a server’s overall performance when it is under heavy load.

Performance Testing with JMeter

JMeter Performance Testing is a web application performance testing tool that uses Apache JMeter. Performance testing using JMeter allows you to test both static and dynamic properties, and also find out users who are concurrent on a website, and perform graphical analysis. Stress tests and Web application load are used in JMeter performance testing.

JMeter Performance Testing comprises:

  • Load Testing: Simulating several users using Web services at the same time to model the anticipated use.
  • Stress Testing: A maximum load capacity exists upon each web server. If the load exceeds the threshold, the web server becomes slower and generates errors. Stress testing aims to determine the web server’s full load capacity.

JMeter Performance Test Plan Creation

In this guide, we’ll look at Google.com’s performance for a thousand users.

Before we can evaluate the output of the target web application, we must first determine.

  • Normal Load: The avg number of your website visitors.
  • Heavy Load: The max number of your website visitors.
  • In this testing, what do you want to achieve?

This is the road map for this real-world scenario.

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Step 1) Adding the Thread Group
  1. Start the “JMeter”.
  2. On the tree, choose the “Test Plan”.
  3. Add the “Thread Group”.

Add a new thread category by right-clicking on the “Test Plan”: Add -> Threads (Users) -> Thread Group 

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Thread Properties can be entered as shown in the control panel of Thread Group:

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  • Number of Threads: 100 (a hundred users have connected to the target website.)
  • Loop Count: 10 (Time required to complete testing)
  • Ramp-Up Period: 100

The Loop Count and Thread Counts aren’t the same.

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Ramp-Up JMeter uses the period parameter to determine how much time to  wait before beginning the next user. For eg, if there are a hundred users and a ramp-up period of a hundred-second, the delay among users beginning will be a second (hundred seconds of hundred users).

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Step 2) Add elements of JMeter 

Now we’ll figure out which JMeter elements are included in this test. The following are the elements.

  • HTTP request Default

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

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Enter the test Website’s name (http://www.google.com) in the HTTP Request Defaults control panel.

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  • HTTP Request

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

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The Path field in the Control Panel of HTTP Request shows what URL request that you would like to submit to the Google server.

When you type “calendar” in the Path field, for instance. JMeter can send a request to Google’s calendar site at http://www.google.com/calendar

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calender

JMeter can submit the URL http://www.google.com to the Google server if the Path field is left blank. 

To get JMeter to build the URL request http://www.google.com to Google server in this test, leave the Path field as blank.

Step 3) Graph result inclusion

JMeter has the ability to display test results in the format of a graph.

Right click on Test Plan and select, Add -> Listener -> Graph Results

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Step 4) Run the test to get the results

To launch the process of software testing, on the Toolbar, click the Run button or press “Ctrl + R”. The test results will be shown in real-time on the graph.

The graph below depicts a test plan in which we simulated a hundred users using the website www.google.com.

The statistical results are shown in colors at the bottom of the image:

  • Black: The overall number of samples that have been sent so far right now.
  • Blue: The average of all samples submitted right now.
  • Red: The standard deviation right now.
  • Green: The throughput rate is the number of requests processed per minute by the server.

Let’s look at the Google server’s output in the diagram below.

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You should rely on two parameters when analyzing the output of the web server under test.

  • Throughput
  • Deviation

The most critical parameter is throughput. It denotes the server’s ability to manage a large amount of load. The better the server performance, the higher the Throughput.

The Google server’s throughput in this test is 1,491.193 per minute. It indicates that the Google server will process 1,491.193 requests/minute. Since this rating is very strong, we may assume that Google’s server performs well.

The deviation is highlighted in red, and it represents the deviation from the average. The more compact, the stronger.

Let’s compare the Google server’s performance to that of other web servers. This is the product of the website http://www.yahoo.com/‘s performance test. (You have the choice of visiting other websites.) 

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A website undergoing the test, http://www.yahoo.com/, has a throughput of 867.326 per minute. This suggests that this server processes 867.326 requests/minute, which is less than Google.

The standard deviation is 2689, which is significantly greater than that of Google (577). Hence, we can conclude that this website’s efficiency is inferior to that of a Google server.

Frequently Asked Questions

  1. What kinds of tests would you run with JMeter?

Ans: JMeter can be used to measure the efficiency of both static and dynamic properties, and also Web dynamic applications. It may be used to simulate a heavy load on a server, group of servers, network, or entity to measure its intensity or evaluate overall performance under various load scenarios.

  1. Why do load testers use JMeter?

Ans: JMeter is a load testing platform for web applications to determine how many concurrent users they can support in real-time. To determine load-bearing capability, the testing is performed on five separate systems, including Google and Yahoo.

  1. What’s the difference between load testing and performance testing?

Ans: Performance testing aims to assess the overall performance of a system and collect metrics including stability, response time, and availability. Load testing is a method for determining whether or not an application will manage a certain amount of traffic.

Conclusion

JMeter can be an extremely useful method for deciding how to change the web application server configuration to reduce bottlenecks and boost efficiency. Now that you know how to use JMeter, you can build new test plans to calculate the success of your servers in a variety of scenarios.

varshad1

I am VarshaDutta Dusa, Working as a Senior Digital Marketing professional & Content writer in HKR Trainings. Having good experience in handling technical content writing and aspires to learn new things to grow professionally. I am expertise in delivering content on the market demanding technologies like ServiceNow Training, Oracle Service Bus Course, SQL Server DBA Course, Elasticsearch Course, Jmeter Course, Kibana, ServiceNow HR Service Management, etc.

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