[[["易于理解","easyToUnderstand","thumb-up"],["解决了我的问题","solvedMyProblem","thumb-up"],["其他","otherUp","thumb-up"]],[["很难理解","hardToUnderstand","thumb-down"],["信息或示例代码不正确","incorrectInformationOrSampleCode","thumb-down"],["没有我需要的信息/示例","missingTheInformationSamplesINeed","thumb-down"],["翻译问题","translationIssue","thumb-down"],["其他","otherDown","thumb-down"]],["最后更新时间 (UTC)：2025-08-19。"],[],[],null,["# Exponential backoff\n\n[Exponential backoff](https://en.wikipedia.org/wiki/Exponential_backoff) is a standard error handling\nstrategy for network applications in which a client periodically retries a\nfailed request with increasing delays between requests. Clients should use\nexponential backoff for all requests to Memorystore for Redis that return\nHTTP `5xx` and `429` response code errors.\n\nUnderstanding how exponential backoff works is important if you are:\n\n- Building client applications that use the Memorystore for Redis [REST API](/memorystore/docs/redis/reference/rest)\n directly.\n\n- Accessing Memorystore for Redis through a [client library](/memorystore/docs/redis/libraries).\n Note that some client libraries, such as the [Memorystore for Redis Client Library for Node.js](https://googleapis.dev/nodejs/redis/latest/index.html),\n have built-in exponential backoff.\n\nIf you are using the [Google Cloud console](https://console.cloud.google.com/), the console sends\nrequests to Memorystore for Redis on your behalf and handles any necessary\nbackoff.\n\nExample algorithm\n-----------------\n\nAn exponential backoff algorithm retries requests exponentially,\nincreasing the waiting time between retries up to a maximum backoff time. An\nexample is:\n\n1. Make a request to Memorystore for Redis.\n\n2. If the request fails, wait 1 + `random_number_milliseconds` seconds and retry\n the request.\n\n3. If the request fails, wait 2 + `random_number_milliseconds` seconds and retry\n the request.\n\n4. If the request fails, wait 4 + `random_number_milliseconds` seconds and retry\n the request.\n\n5. And so on, up to a `maximum_backoff` time.\n\n6. Continue waiting and retrying up to some maximum number of retries, but\n do not increase the wait period between retries.\n\nwhere:\n\n- The wait time is min(((2\\^`n`)+`random_number_milliseconds`), `maximum_backoff`),\n with `n` incremented by 1 for each iteration (request).\n\n- `random_number_milliseconds` is a random number of milliseconds less than or\n equal to 1000. This helps to avoid cases where many clients get synchronized by\n some situation and all retry at once, sending requests in synchronized\n waves. The value of `random_number_milliseconds` should be recalculated after\n each retry request.\n\n- `maximum_backoff` is typically 32 or 64 seconds. The appropriate value\n depends on the use case.\n\nIt's okay to continue retrying once you reach the `maximum_backoff` time.\nRetries after this point do not need to continue increasing backoff time. For\nexample, if a client uses an `maximum_backoff` time of 64 seconds, then after\nreaching this value, the client can retry every 64 seconds. At some point,\nclients should be prevented from retrying infinitely.\n\nThe maximum backoff and maximum number of retries that a client uses\ndepends on the use case and network conditions. For example, mobile\nclients of an application may need to retry more times and for longer intervals\nwhen compared to desktop clients of the same application.\n\nIf the retry requests fail after exceeding the maximum number of retries, report\nor log an error using one of the methods listed under [Getting support](/memorystore/docs/redis/getting-support)."]]
