[zh] Accurate explanation for the calculation of number of failures in Job (#34327)
* [zh] Accurate explanation for the calculation of number of failures in Job Apply PR 33536 corrections to Chinese content. signed-off-by: X723166587 <yuchen.wei@daocloud.io> * Update job.md fix typo * Update job.md fix typo
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@@ -450,9 +450,19 @@ due to a logical error in configuration etc.
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To do so, set `.spec.backoffLimit` to specify the number of retries before
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considering a Job as failed. The back-off limit is set by default to 6. Failed
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Pods associated with the Job are recreated by the Job controller with an
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exponential back-off delay (10s, 20s, 40s ...) capped at six minutes. The
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back-off count is reset when a Job's Pod is deleted or successful without any
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other Pods for the Job failing around that time.
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exponential back-off delay (10s, 20s, 40s ...) capped at six minutes.
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The number of retries is calculated in two ways:
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- The number of Pods with `.status.phase = "Failed"`.
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- When using `restartPolicy = "OnFailure"`, the number of retries in all the
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containers of Pods with `.status.phase` equal to `Pending` or `Running`.
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If either of the calculations reaches the `.spec.backoffLimit`, the Job is
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considered failed.
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When the [`JobTrackingWithFinalizers`](#job-tracking-with-finalizers) feature is
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disabled, the number of failed Pods is only based on Pods that are still present
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in the API.
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-->
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### Pod 回退失效策略 {#pod-backoff-failure-policy}
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@@ -462,7 +472,16 @@ other Pods for the Job failing around that time.
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失效回退的限制值默认为 6。
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与 Job 相关的失效的 Pod 会被 Job 控制器重建,回退重试时间将会按指数增长
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(从 10 秒、20 秒到 40 秒)最多至 6 分钟。
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当 Job 的 Pod 被删除时,或者 Pod 成功时没有其它 Pod 处于失败状态,失效回退的次数也会被重置(为 0)。
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计算重试次数有以下两种方法:
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- 计算 `.status.phase = "Failed"` 的 Pod 数量。
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- 当 Pod 的 `restartPolicy = "OnFailure"` 时,针对 `.status.phase` 等于 `Pending` 或
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`Running` 的 Pod,计算其中所有容器的重试次数。
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如果两种方式其中一个的值达到 `.spec.backoffLimit`,则 Job 被判定为失败。
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当 [`JobTrackingWithFinalizers`](#job-tracking-with-finalizers) 特性被禁用时,
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失败的 Pod 数目仅基于 API 中仍然存在的 Pod。
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<!--
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If your job has `restartPolicy = "OnFailure"`, keep in mind that your Pod running the Job
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