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Discover how to print the retry count using the `-Retryable` annotation in Spring Boot. Learn with clear code examples to implement this feature seamlessly. --- This video is based on the question https://stackoverflow.com/q/64309290/ asked by the user 'user1354825' ( https://stackoverflow.com/u/13548254/ ) and on the answer https://stackoverflow.com/a/69923915/ provided by the user 'Velmurugan A' ( https://stackoverflow.com/u/9828935/ ) 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: Print retry count with -Retryable 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. --- How to Print Retry Count with -Retryable in Spring Boot When developing applications using Spring Boot, managing errors gracefully is essential, especially when working with databases. The -Retryable annotation is a powerful feature that allows you to automatically retry a method that might fail due to transient errors, such as SQL exceptions. But what if you want to keep track of the number of retries? In this post, we’ll explore how to print the retry count every time a method is retried. Let's dive into the problem and its solution! The Problem Imagine you have a method that retrieves data from a database and could throw an SQLException. You have used the -Retryable annotation to handle this exception gracefully, setting a maximum number of retries if the method fails: [[See Video to Reveal this Text or Code Snippet]] While this setup helps manage failures, it doesn’t provide you with feedback on how many times the method has been retried. Instead of guessing, you might want to clearly see the retry count in your logs, such as: [[See Video to Reveal this Text or Code Snippet]] So, how can you achieve this? The Solution To print the retry count during the execution of a method annotated with -Retryable, you can utilize the RetrySynchronizationManager class provided by Spring Retry. This class allows you to access the context of the current retry operation, including the retry count. Step-by-Step Implementation Import Necessary Packages: Ensure you have the required dependencies for Spring Retry in your project. Implement the Method Logging: Modify your method to include logging of the retry count as shown below: [[See Video to Reveal this Text or Code Snippet]] Explanation of Key Components Logging: We are using log.info() to output the current retry number. The logger is set up with LoggerFactory for formatted logging. RetrySynchronizationManager: This class provides access to the retry context. Calling getContext().getRetryCount() gives you the current attempt number, which you can then log. Benefits of Implementing Retry Count Logging Visibility: You can easily troubleshoot and monitor method behaviors in production systems. Better User Experience: By tracking retries, you could provide feedback to the user on the operation’s progress and potential issues. Conclusion Using the -Retryable annotation in Spring Boot simplifies error handling, especially for transient errors like SQLException. By leveraging RetrySynchronizationManager, you can enhance your retry mechanism by providing real-time feedback on the retry count. Implementing this system promotes better debugging and can be instrumental in maintaining the integrity and performance of your applications. With this implementation, you can be more confident in handling errors effectively, while also gaining insights into how your application is performing under transient failure scenarios. Happy coding!