Make failure handling in EventRecorder configurable (fail-on-error option)

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已经有一个关联 PR 被合并了。

  • #3688 来自 @afalhambra-hivemq —— 已合并

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难度
3/5
预计耗时
1-2 天
新手友好度
68/100
Issue 类型
功能
描述清晰度
描述清楚
活跃度
活跃
技术栈
java, kubernetes

调研方向

Start by locating DefaultEventRecorder#record and the EventSink#emit call described in the issue. Read the recorder's existing tests and identify how its construction or configuration is covered. Add an opt-in fail-on-error setting while preserving the current default, then verify that enabled failures propagate and disabled failures remain logged and swallowed.

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描述

Is your feature request related to a problem? Please describe.
Currently, DefaultEventRecorder#record treats recording strictly as "best effort": any exception thrown when writing to the API server via EventSink#emit is logged as a warning and swallowed:

try {
  sink.emit(toEvent(context, event), context);
} catch (Exception e) {
  // recording an event must never break the caller: a controller that fails to reconcile
  // because it could not write an event is strictly worse than one that records nothing
  log.warn("Could not record {} event ...", ...);
}

While swallowing errors is desirable for informational telemetry, in our use case (and in environments with strict audit, compliance, or state tracking requirements), emitting a Kubernetes Event is considered part of the required reconciliation side-effects. If the event cannot be persisted (e.g. due to RBAC issues, network partition, or API server failure), continuing reconciliation without failing leaves the cluster in an inconsistent or un-audited state. We want the reconciliation to fail and re-queue/retry when an event fails to be recorded.

Describe the solution you'd like
Make this behavior configurable. When enabled, failures to record an event should propagate as an exception to trigger standard error handling and reconciliation retries, while keeping the current non-failing behavior as the default.

Describe alternatives you've considered
Extending DefaultEventRecorder and overriding the record method. However, this is not clean because it requires duplicating framework logic (such as parameter validation and calling toEvent(...) / sink.emit(...)) just to bypass the try-catch block.

Additional context
None

主要语言
Java
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  3. Fork 仓库,在一个分支上完成修改。
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