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8 May 2024
06 Min. Read

What is Consumer-Driven Contract Testing (CDC)?

What is Consumer-Driven Contract Testing (CDC)?

What is Consumer-Driven Contract Testing (CDC)?


Imagine a large orchestra - each instrument (software component) needs to play its part flawlessly, but more importantly, it needs to work in harmony with the others to create beautiful music (a well-functioning software system). Traditional testing methods often focus on individual instruments, but what if we tested how well they play together?

This is where Consumer-Driven Contract Testing (CDC) comes in. It's a powerful approach that flips the script on traditional testing. Instead of the provider (the component offering a service) dictating the test, the consumer (the component requesting the service) takes center stage.


Feature

HyperTest

Pact

Test Scope

Integration (code, API, contracts, message queues, DB)

Unit Tests Only

Assertion Quality

Programmatic, Deeper Coverage

Hand-written, Prone to Errors

Test Realism

Real-world Traffic-based

Dev-imagined Scenarios

Contract Testing

Automatic Generation & Updates

Manual Effort Required

Contract Quality

Catches Schema & Data Value Changes

May Miss Data Value Changes

Collaboration

Automatic Consumer Notifications

Manual Pact File Updates

Change Resilience

Adapts to Service Changes

Outdated Tests with External Changes

Test Maintenance

No Maintenance (Auto-generated)

Ongoing Maintenance Needed



Why Consumer-Driven Contract Testing (CDC)?


Traditional testing can lead to misunderstandings and integration issues later in development. Here's how CDC tackles these challenges:


  • Improved Communication: 

    By defining clear expectations (contracts) upfront, both teams (provider and consumer) are on the same page from the beginning. This reduces mismatched expectations and costly rework.


  • Focus on Consumer Needs: 

    CDC ensures the provider delivers what the consumer truly needs. The contracts become a blueprint, outlining the data format, functionality, and behavior the consumer expects.


  • Early Detection of Issues:

     Automated tests based on the contracts catch integration issues early in the development cycle, preventing snowballing problems later.


  • Reduced Risk of Breaking Changes: 

    Changes to the provider's behavior require an update to the contract, prompting the consumer to adapt their code. This communication loop minimizes regressions caused by unexpected changes.



  • Improved Maintainability: 

    Clearly defined contracts act as a reference point for both teams, making the code easier to understand and maintain in the long run.




How Does CDC Work? A Step-by-Step Look


CDC involves a well-defined workflow:


1. Consumer Defines Contracts: 

The consumer team outlines their expectations for the provider's functionality in a contract (often written in JSON or YAML for easy understanding).


2. Contract Communication and Agreement: 

The contract is shared with the provider's team for review and agreement, ensuring everyone is on the same page.


3. Contract Validation:

Both sides validate the contract:


Provider: 

The provider implements its functionality based on the agreed-upon contract. Some CDC frameworks allow providers to generate mock implementations to test their adherence.

Consumer:

The consumer utilizes a CDC framework to generate automated tests from the contract. These tests verify if the provider delivers as specified.


4. Iteration and Refinement: 

Based on test results, any discrepancies are addressed. This iterative process continues until both parties are satisfied.

💡 Learn more about how this CDC approach is different from the traditional way of performing Contract testing.


Benefits Beyond Integration: Why Invest in CDC?


Here is a closer look at the key advantages of adopting Consumer-Driven Contract Testing:


➡️Improved Communication and Alignment: 

Traditional testing approaches can lead to both provider and consumer teams working independently. CDC bridges this gap. Both teams have a shared understanding of the expected behaviour by defining clear contracts upfront. This leads to a reduction in misunderstandings and mismatched expectations.


➡️Focus on Consumer Needs:

Traditional testing focuses on verifying the provider's functionality as defined. CDC prioritises the consumer's perspective. Contracts ensure the provider delivers exactly what the consumer needs, leading to a more user-centric and well-integrated system.


➡️Early Detection of Integration Issues:

CDC promotes continuous integration by enabling automated testing based on the contracts. These tests identify integration issues early in the development lifecycle, preventing costly delays and rework later in the process.


➡️Reduced Risk of Breaking Changes:

Contracts act as a living document, evolving alongside the provider's functionalities. Any changes require an update to the contract, prompting the consumer to adapt their code. This communication loop minimizes regressions caused by unexpected changes.


➡️Improved Maintainability and Reusability:

Clearly defined contracts enhance code maintainability for both teams. Additionally, contracts can be reused across different consumer components, promoting code reusability and streamlining development efforts.



Putting CDC into Practice: Tools for Success


Consumer-Driven Contract Testing (CDC) enables developers to ensure smooth communication between software components. Pact, a popular open-source framework, streamlines the implementation of CDC by providing tools for defining, validating and managing contracts. Let us see how Pact simplifies CDC testing:


➡️PACT


1. Defining Contracts: 

Pact allows defining contracts in a human-readable format like JSON or YAML. These contracts usually specify the data format, behaviour and interactions expected by the consumer from the provider.


2. Provider Mocking: 

Pact enables generating mock service providers based on the contracts. This allows providers to test their implementation against the consumer's expectations in isolation.


3. Consumer Test Generation: 

Pact automatically generates consumer-side tests from the contracts. These tests verify if the behaviour of the actual provider aligns with the defined expectations.


4. Test Execution and Verification: 

Consumers run the generated tests to identify any discrepancies between the provider's functionality and the contract. This iterative process ensures both parties are aligned.


5. Contract Management: 

Pact provides tools for managing contracts throughout the development lifecycle. Version control ensures that both teams are working with the latest version of the agreement.



Problems Related to PACT:


  • Learning Curve: 

    Pact requires developers to learn a new framework and its syntax for defining contracts. However, the benefits of CDC often outweigh this initial learning investment.


  • Maintaining Multiple Pacts: 

    As the interactions grow, managing a large set of pacts can become cumbersome. Pact offers tools for organisation and version control, but careful planning and communication are necessary.


  • Limited Mocking Capabilities: 

    Pact primarily focuses on mocking HTTP interactions. Testing more complex interactions like database access might require additional tools or frameworks.



Challenges with PACT don’t just end here, the list is growing, and you can relate to them here



➡️ Contract Testing with HyperTest


HyperTest: It is an integration testing tool that helps teams generate and run integration tests for microservices – without the need of manually writing any test scripts! HyperTest offers these advantages:





➡️Automatic Contract Generation: 


Analyzes real-world traffic between components to create contracts that reflect actual usage patterns.


➡️Enhanced Collaboration: 


Promotes transparency and reduces misunderstandings through clear and well-defined contracts.


➡️Parallel Request Handling:

-HT can handle multiple API calls simultaneously.

-It ensures that each request is processed independently and correctly.


➡️Authorization Management:

-It intercepts and disable token updates during test replay.

-This ensures that test execution doesn't interfere with authentication processes.


➡️Language Support:

-Currently HT supports Node.js and Java, with plans to expand to other languages.


➡️Deployment Options:

-Both self-hosting and cloud-based deployment options.


HyperTest Dashboard

The Future is Collaborative: Why CDC Matters?


CDC is rapidly transforming integration testing. By empowering consumers and fostering collaboration, CDC ensures smooth communication between software components. This leads to more reliable, maintainable, and user-centric software systems.


So, the next time you're building a complex software project, consider using CDC to ensure all the pieces fit together perfectly, just like a well-built orchestra!  Here's a listicle implementation of contract testing for your microservices:


Checklist of Implementing Contract Testing

Check out our other contract testing resources for a smooth adoption of this highly agile and proactive practice in your development flow:



Related to Integration Testing

Frequently Asked Questions

1. How does CDC work?

CDC (Consumer-Driven Contracts) works by allowing service consumers to define their expectations of service providers through contracts. These contracts specify the interactions, data formats, and behaviors that the consumer expects from the provider.

2. What are the benefits of CDC?

The benefits of CDC include improved collaboration between service consumers and providers, faster development cycles, reduced integration issues, increased test coverage, and better resilience to changes in service implementations.

3. What tools are used for CDC?

Tools commonly used for CDC include HyperTest, Pact, Spring Cloud Contract, and CDC testing frameworks provided by API testing tools like Postman and SoapUI.

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