Author : Sujitha Mohan

Published on: February 22, 2018

Category : Technical Feed

Why conduct Performance Testing?

Performance Testing, as you might be well aware, is one of the prominent and critical testing methods practiced in the software industry.  Poorly performing applications can harm a company’s  reputation by failing to meet the expected sales goals. Performance Testing is thus conducted to provide customers with information about their applications, based on speed, stability and scalability.

Apache JMeter

Apache JMeter is a Java desktop application used for performance testing and evaluation of the overall system performance under different loads. JMeter simulates users to send requests to server, and gets information from the server through different graphical reports.

Apache JMeter

Components You Should Know!

Test plan is a feature in JMeter tool that describes the chain of steps JMeter must execute when tests are run. A test plan consists of Thread Group, Timers, Configuration Elements, Listener, Assertion and more.

Thread group elements are the main components of our test plan. A thread group is a collection of users. Each thread represents one user using the application under test. We can manage the following elements by using thread groups:

  • Number of threads
  • Ramp up time (how long it will take to start all the threads)
  • Loop count (number of iterations)Thread Group

Sampler is used for sending a specific type of request to the server. They are processed in their order of appearance in the tree. JMeter has a different type of sampler.  HTTP Request Sampler is the sampler used for web application testing.

Logic controller controls the order in which samplers are processed. It provides a procedure for managing the flow of the thread group. If a request is coming from the child elements of a sampler, then by using logic controllers, we can change the order of requests.

Listener allows us to view the results of the sampler request and response in the form of tables, graphs, trees and more. These test results can be viewed, read and saved. It is possible to add Listener anywhere in the test plan.

  • Aggregate Graph
  • Aggregate Report
  • View Results in Table
  • View Results Tree
  • Graph Results

Configuration Element enables us to declare variables. A configuration element is accessible from only inside the tree branch, where you place the element. A configuration element present in a tree node will have higher priority than the same element present in a parent node.

For example, if we are required to test a website for 100 users signing-in with different credentials, the script need not be run 100 times. We can parameterize the script to enter different login credentials. This login information (e.g. username, password) will be stored in a text file. JMeter has an element that allows us to read parameters from that text file. It is “CSV Data Set Config”, which is used to read lines from a file, and divides into variables.

Configuration Element

Let’s create a test plan in JMeter

Step 1: Add Thread Group

  • Start JMeter
  • Select Test Plan on the tree
  • Add Thread GroupAdd Thread Group

Step 2: Adding JMeter elements

Once  the Test Plan is created, we should determine the elements to be  added and removed  from JMeter Test Plan.

Add JMeter Elements

Step 3: Adding Graph result

JMeter can show the test result in Graph format.

To add listener, right click on Test Plan, Add -> Listener -> Graph Results

Test Run on JMeter

Press Run button (Ctrl + R) on Toolbar to start the testing process.

The test results will be displayed as a graph in real time.

  • Black: The total number of current samples sent to the server.
  • Blue: The current average of samples sent to the server.
  • Red: The current standard deviation.
  • Green: The number of requests per minute the server handled.

Analysing the results

Analyze Results

We can analyse the performance of the software based on two parameters:

  • Throughput
  • Deviation

Throughput is the most important parameter. It represents the ability of the server to handle the load.  Higher throughput indicates better performance.