By using the JMeter and JMeter Plugins, we test the load of the application step by step.
Plugins for JMeter-
Jmeter Has the following plugins as Standard Set, PerfMon Agent to use with Standard Set, Extras Set, Extras with Libs Set, WebDriver Set, Hadoop Set.
Basically, the JP@GC set contains two types of plugins: graph plugins and JMeter functionality extensions.
- Download the JMeter Plugin from the Jmeter.
- After Downloading the extract the zip file.
- Copy the library of the plugins and paste into the JMeter – lib>ext>paste .
- Now Start the server Agent by click on the startAgent.
Let’s move on…..
1. Add the Thread Group-
- Number of Threads: 50 (Number of users to hit on website)
- Ramp-Up Period: 50 (After 1 sec next user is hit on the server)
- Loop Count: 1 (Number of time to execute this plan)
2. Add the Http Request-
- Right-click on Thread Group> Add >Sampler> HTTP Request
- Now enter the url on which page you want to test the load.
3. Add the Listener:
- To show the Result in the table and graph format we use the listener.
- Right-click on Thread Group> Add >Listener>……..
4. After adding the listener now save the test plan. Click on the start button to test the load on the application.
5. After completing the Test, you can see the result in the below graph and report.what is the status of our application.
6. Aggregate Report-
Here you can see the report of the tested application.
7. Aggregate Graph-
8. Summary Report-
Label – The label of the sample.
Samples – The number of samples with the same label
Average – The average time of a set of results
Median – The Median is the time in the middle of a set of results. 50% of the samples took no more than this time; the remainder took at least as long.
90% Line – 90% of the samples took no more than this time. The remaining samples at least as long as this. (90 th percentile)
Min – The shortest time for the samples
Max – The longest time for the samples
Error % – Percent of requests with errors
Throughput – the Throughput is measured in requests per second/minute/hour. The time unit is chosen so that the displayed rate is at least 1.0. When the throughput is saved to a CSV file, it is expressed in requests/second, i.e. 30.0 requests/minute is saved as 0.5.
Kb/sec – The throughput measured in Kilobytes per second
9. View Result Tree –
11. Graph Result-
Data – plot the actual data values
Average – plot the Average
Median – plot the Median (midway value)
Deviation – plot the Standard Deviation (a measure of the variation)
Throughput – plot the number of samples per unit of time
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
To analyze the performance of the web server under test, you should focus on 2 parameters
- Throughput
- Deviation
High Throughput: better is the server performance
Low Deviation: better is the server performance
12. jp@gc – Active Threads Over Time
It is showing how many active threads are there in each thread group during test run.
13. jp@gc – Bytes Throughput Over Time
This graph will display the amount of bytes sent and received by JMeter during the load test-
14. jp@gc – Composite Graph
15. jp@gc – Hits per Second
This graph shows the number of transactions per second for each sampler. It counts for each seconds the number of finished transactions.
16. jp@gc – PerfMon Metrics Collector
17. jp@gc – Response Codes per Second
This graph will display the response code per second returned during the test.
18. jp@gc – Response Latencies Over Time
A latency is the duration between the end of the request and the beginning of the server response.This graph will display the response latencies during the load test-
19. jp@gc – Response Times Over Time
This graph will display for each sampler the average response time in milliseconds
20. jp@gc – Response Times vs Threads
This graph shows how Response Time changes with amount of parallel threads. Naturally, server takes longer to respond when a lot of users requests it simultaneously. This graph visualizes such dependencies.
21. jp@gc – Transactions per Second
This graph shows the number of transactions per second for each sampler. It counts for each seconds the number of finished transactions.
22. Response Time Graph
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