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This guide provides a thorough guide on addressing random test failures when using Embedded Kafka with Spring Kafka, offering practical insights and solutions to stabilize your testing environment. --- This video is based on the question https://stackoverflow.com/q/62402306/ asked by the user 'Julian' ( https://stackoverflow.com/u/1258319/ ) and on the answer https://stackoverflow.com/a/62410965/ provided by the user 'Gary Russell' ( https://stackoverflow.com/u/1240763/ ) at 'Stack Overflow' website. Thanks to these great users and Stackexchange community for their contributions. Visit these links for original content and any more details, such as alternate solutions, latest updates/developments on topic, comments, revision history etc. For example, the original title of the Question was: Embedded Kafka tests randomly failing Also, Content (except music) licensed under CC BY-SA https://meta.stackexchange.com/help/l... The original Question post is licensed under the 'CC BY-SA 4.0' ( https://creativecommons.org/licenses/... ) license, and the original Answer post is licensed under the 'CC BY-SA 4.0' ( https://creativecommons.org/licenses/... ) license. If anything seems off to you, please feel free to write me at vlogize [AT] gmail [DOT] com. --- Resolving Random Failures in Embedded Kafka Tests Integrating Kafka with Spring applications is a common scenario for many developers. While the use of Embedded Kafka for integration tests seems like a breeze, it can come with its own set of challenges. Have you ever faced random failures in your Embedded Kafka tests? You're not alone! The Problem: Random Test Failures While working on a Kafka Streams application with Spring Kafka, I designed a comprehensive suite of integration tests to validate various business conditions. Each test invoked the Kafka streams, which read messages, processed them, and sent them to other microservices. However, I encountered frustrating moments where tests would inconsistently fail, and it became a source of confusion. The Symptoms Tests would pass when run individually, but when executed in bulk, failures appeared sporadically. Common error messages included: "Topic xyz already exists" "Cluster could not be found" Despite utilizing the @ DirtiesContext annotation intended to reset the Spring context before each test, it seemed that the embedded Kafka instances were not fully shut down, leading to overlapping resource usage. Temporary Workaround In a desperate attempt to stabilize our tests, we resorted to leaving only one test scenario (the one with the most interactions) active while commenting out others. While this allowed the build to succeed, it was not a viable long-term solution. The Solution: Dynamic Port Allocation After digging deeper and researching best practices, it became evident that the root cause of the issue was the use of a fixed port in the embedded Kafka configuration. By default, embedded Kafka listens on a randomly selected port, which inherently avoids many of the conflicts we experienced. Implementation Steps Here’s how to modify your test setup to utilize dynamic port allocation: Remove Fixed Port Configuration Change your embedded Kafka annotation to avoid specifying a fixed port: [[See Video to Reveal this Text or Code Snippet]] Retrieve Broker Address in Tests To access the randomly assigned broker address during the tests, use the following: [[See Video to Reveal this Text or Code Snippet]] Adjust Your Test Logic Ensure your test logic handles the dynamic broker address instead of referencing any hardcoded values. Conclusion By leveraging dynamic port allocation for your Embedded Kafka instances, you can significantly reduce the chances of encountering random test failures. Properly managing the lifecycle of your tests and their resources can lead to a more stable and reliable testing environment. If you’re facing similar issues, consider adopting these practices and watch your test suite become more resilient. Happy testing!