[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Missing the information I need","missingTheInformationINeed","thumb-down"],["Too complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2025-08-14 UTC."],[[["This document outlines the `AutoscalingPolicyServiceLimitedErrorCountRetryPolicy`, a retry policy designed for the `AutoscalingPolicyServiceConnection` in Google Cloud Dataproc."],["The policy stops retrying operations if a non-transient error occurs or if the number of transient failures exceeds a predefined limit."],["Transient errors in this context are defined as status codes equivalent to `kUnavailable`."],["The class allows creating instances with a configurable maximum number of tolerated transient errors, with the option to disable retries by setting `maximum_failures` to 0."],["This class provides functions such as `maximum_failures()`, `OnFailure()`, `IsExhausted()`, `IsPermanentFailure()`, and `clone()` to manage and interact with the retry policy, and it has a `BaseType` alias for `AutoscalingPolicyServiceRetryPolicy`."]]],[]]
