CartSure API Load Testing with JMeter

Business Scenario

You are working as a Performance Tester on the CartSure project.

The CartSure application provides an API to retrieve all products. Your manager has assigned you the following task:

"Create a JMeter load test for the CartSure Get All Products API. Execute the API with multiple concurrent users and analyze response time, throughput, and error percentage under load."

The purpose of this lab is only to evaluate API performance under load.

 

 

You are working as a Performance Tester on the CartSure project.

The CartSure application provides an API to retrieve all products. Your manager has assigned you the following task:

"Create a JMeter load test for the CartSure Get All Products API. Execute the API with multiple concurrent users and analyse response time, throughput, and error percentage under load."

The purpose of this lab is only to evaluate


API performance under load.

You are not required to perform:

  • Login

  • Authentication

  • Token extraction

  • CSV parameterization

  • Payment processing

  • Dynamic correlation

The completed project must be saved as: CartSure_API_Load_Test.jmx

Git Pull

Create Test Plan

1

Task 1: Create the API Load Test 

Click Here for the URL

Open Apache JMeter.

a

Create a new Test Plan.

b

Rename it: CartSure API Load Test

c

Git Pull

git pull origin branchName

Add a Thread Group:

d

Rename the Thread Group:CartSure API Users 

e

CartSure API Load Test

   |

   +-- CartSure API Users

 

Configure Thread Group

2

For the initial test, configure: 

 

Number of Threads: 10

Ramp-Up Period: 10 seconds

Loop Count: 10

 

The Thread Group represents concurrent users accessing the API. 

Add HTTP Request

1

Task 2: Add the API Request 

Right-click :- CartSure API Users

                    → Add

                    → Sampler

                    → HTTP Request 

 

 

a

Rename it :- Get All Products API 

b

Configure:

Protocol: https

Server Name: firestore.googleapis.com

Method: GET

 

Path:

/v1/projects/maple-store-1eeb2/databases/(default)/documents/products

 

Configure HTTP Request

2

Add View Results Tree

1

Task 3: Execute and Analyze API Load

Right-click the Test Plan :- Test Plan

                                      → Add

                                      → Listener

                                      → View Results Tree

 

 

 

a

Use View Results Tree only for a small validation run.

b

Run the test. 

 

For a real load test, avoid heavy listeners because they consume JMeter resources and can affect the load generator's performance.

 

 

Perform Load Test

2

Add Aggregate Report

3

Add: Test Plan

        → Add

        → Listener

        → Aggregate Report

 

a

After execution, examine :-

b

MetricMeaning
SamplesTotal API requests
AverageAverage response time 
MinFastest response 
MaxSlowest response 
90% Line90th percentile response time
95% Line 95th percentile response time
99% Line 99th percentile response time
Error % Percentage of failed requests
Throughput Requests processed per second

Run the API with different numbers of users. 

Test 1 – Baseline

Threads: 1

Ramp-Up: 1 sec

Loop Count: 10

 

Test 2 – Low Load

Threads: 10

Ramp-Up: 10 sec

Loop Count: 10

 

Test 3 – Medium Load

Threads: 25

Ramp-Up: 25 sec

Loop Count: 10

 

Test 4 – Higher Load

Threads: 50

Ramp-Up: 50 sec

Loop Count: 10

 

Task 4: Execute Different Load Levels and Save

Run the API with different numbers of users. 

Test 1 – Baseline

Threads: 1

Ramp-Up: 1 sec

Loop Count: 10

 

Test 2 – Low Load

Threads: 10

Ramp-Up: 10 sec

Loop Count: 10

 

Test 3 – Medium Load

Threads: 25

Ramp-Up: 25 sec

Loop Count: 10

 

Test 4 – Higher Load

Threads: 50

Ramp-Up: 50 sec

Loop Count: 10

 

 

Great job!

In this lab, you learned the fundamentals of API Load Testing using Apache JMeter.

You learned how to:

  • Create a JMeter test plan for API load testing.

  • Configure a Thread Group with multiple virtual users.

  • Configure ramp-up time and loop count.

  • Create and execute an HTTP API request.

  • Validate the API response.

  • Measure API response time.

  • Analyze API throughput.

  • Identify API errors during load execution.

  • Use View Results Tree for request and response validation.

  • Use Aggregate Report to analyze performance results.

  • Compare API performance at different load levels.

You also learned how increasing the number of concurrent users can affect:

  • Response time

  • Throughput

  • Error percentage

  • Overall API performance

 

By completing this lab, you are now able to create and execute a basic JMeter API Load Test and analyse how an API behaves under different levels of concurrent user load.

Final Project File:

CartSure_API_Load_Test.jmx

 

Checkpoint

 

Great job!

In this lab, you learned the fundamentals of API Load Testing using Apache JMeter.

You learned how to:

  • Create a JMeter test plan for API load testing.

  • Configure a Thread Group with multiple virtual users.

  • Configure ramp-up time and loop count.

  • Create and execute an HTTP API request.

  • Validate the API response.

  • Measure API response time.

  • Analyze API throughput.

  • Identify API errors during load execution.

  • Use View Results Tree for request and response validation.

  • Use Aggregate Report to analyze performance results.

  • Compare API performance at different load levels.

You also learned how increasing the number of concurrent users can affect:

  • Response time

  • Throughput

  • Error percentage

  • Overall API performance

 

By completing this lab, you are now able to create and execute a basic JMeter API Load Test and analyse how an API behaves under different levels of concurrent user load.

Final Project File:

CartSure_API_Load_Test.jmx

 

Checkpoint

 

Great job!

In this lab, you learned the fundamentals of API Load Testing using Apache JMeter.

You learned how to:

  • Create a JMeter test plan for API load testing.

  • Configure a Thread Group with multiple virtual users.

  • Configure ramp-up time and loop count.

  • Create and execute an HTTP API request.

  • Validate the API response.

  • Measure API response time.

  • Analyze API throughput.

  • Identify API errors during load execution.

  • Use View Results Tree for request and response validation.

  • Use Aggregate Report to analyze performance results.

  • Compare API performance at different load levels.

You also learned how increasing the number of concurrent users can affect:

  • Response time

  • Throughput

  • Error percentage

  • Overall API performance

 

By completing this lab, you are now able to create and execute a basic JMeter API Load Test and analyse how an API behaves under different levels of concurrent user load.

Final Project File:

CartSure_API_Load_Test.jmx

 

Checkpoint

   Git Push

git push origin branchName

JM 05 - CartSure API Load Testing with JMeter

By Content ITV

Made with Slides.com

JM 05 - CartSure API Load Testing with JMeter

  • 334

More from Content ITV