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Spring Retry provides an abstraction around retrying failed operations, with an emphasis on declarative control of the process and policy-based bahaviour that is easy to extend and customize. For instance, you can configure a plain POJO operation to retry if it fails, based on the type of exception, and with a fixed or exponential backoff.

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The following examples show how to use org.apache.ratis.retry.RetryPolicies. These examples are extracted from open source projects. You can vote up the ones you like or vote down the ones you don't like, and go to the original project or source file by following the links above each example. You may check out the related API usage on the sidebar.

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Exponential Backoff. Another option might be to delay each retry using an exponential delay: for simplicity, let’s use 2^n ms delay where n = retry count. Continuing from our previous example, we’ll see something like this: First retry: 2ms; Second retry: 4ms; Third retry: 8ms; It’s always a good idea to have an upper limit for backoff ...

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Resilience4j is a lightweight fault tolerance library inspired by Netflix Hystrix, but designed for functional programming. Resilience4j provides higher-order functions (decorators) to enhance any functional interface, lambda expression or method reference with a Circuit Breaker, Rate Limiter, Retry or Bulkhead.

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Exponential random backoff policy: a random exponential backoff policy, which can be realized by introducing random multiplier; guava-retrying conversation. Xiaohua: our system also needs to retry. Project Manager: Xiao Ming used spring retry some time ago. It should be good to share

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Fetch and parse the JSON content from urlOrConnectionInfo, with the optional body json and optionally processing the result with processFun before returning it.

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