Change:
err = framework.WaitForJobFailure(f.ClientSet, f.Namespace.Name, job.Name, framework.JobTimeout, "BackoffLimitExceeded") Expect(err).NotTo(HaveOccurred()) <del> By("Checking that only one pod created and status is failed") </del> <ins> By(fmt.Sprintf("Checking that %d pod created and status is failed", backoff+1)) </ins> pods, err := framework.GetJobPods(f.ClientSet, f.Namespace.Name, job.Name) Expect(err).NotTo(HaveOccurred()) <del> Expect(pods.Items).To(HaveLen(1)) pod := pods.Items[0] Expect(pod.Status.Phase).To(Equal(v1.PodFailed)) </del> <ins> // Expect(pods.Items).To(HaveLen(backoff + 1)) // due to NumRequeus not being stable enough, especially with failed status // updates we need to allow more than backoff+1 // TODO revert this back to above when https://github.com/kubernetes/kubernetes/issues/64787 gets fixed if len(pods.Items) < backoff+1 { framework.Failf("Not enough pod created expected at least %d, got %#v", backoff+1, pods.Items) } for _, pod := range pods.Items { Expect(pod.Status.Phase).To(Equal(v1.PodFailed)) } </ins> }) })

Discussion:
Is this a BUG REPORT or FEATURE REQUEST?: /kind bug What happened: for a Job does not work on Kubernetes 1.10.0 What you expected to happen: can limit the number of time a pod is restarted when running inside a job How to reproduce it (as minimally and precisely as possible): Use this resource file: If the job was created in Kubernetes 1.9, it will soon fail: While creating the job in Kubernetes 1.10, it will be restarted infinitely: Anything else we need to know?: Environment: Kubernetes version (use ): 1.10.0 Cloud provider or hardware configuration: AWS OS (e.g. from /etc/os-release): Ubuntu 16.04 Kernel (e.g. ): Install tools: Kubeadm Others:
/sig scheduling
/sig job /sig lifecycle /sig apps
/sig testing
We just updated to 1.10 and seem to be affected by this, too.
I had to add activeDeadlineSeconds to all Jobs and Hooks, as workaround...
Can confirm with 1.10.1
It seems to be introduced by cc
Cause appears to be that the method gets exactly one attempt to update the status with the failed condition and if it fails due to resource conflict, it never adds the condition. The controller code seems to use requeues to track failures, but if a sync loop executes successfully, it would lose track of the failed item ever having been requeued. Looking into a fix now.
Looking at , we force an immediate resync when we see a pod that has failed which also clears the key in our queue, but that in turn makes us lose state of the number of requeues.
This bug killed my test cluster over the long weekend (with + pods). Luckily we don't yet use CronJobs in prod.
killed my cluster too :( still existing in kubernetes 1.10.2
This issue also can't be mitigated as terminated are not part of the resource quota:
This is a pretty terrible bug and it definitely still exists in v1.10.2
/priority important-soon
can you please take a look?
Looking right now...
I've opened to address the issue. Sorry for the troubles y'all.
pulled the patch into current 1.10.2 release and it works! Thanks :)
I filed (with and a test for Job with backoffLimit=1).

The test exposes some other problems. Here are two failure mode: never retries (): the code uses to see the number of retries. However, the job can fail to be synced just because of an update conflict (). That shouldn't be seen as a retry. retries more than needed (): Job controller creates more pods than needed because it doesn't realize itself has failed and exceeded backoffLimit earlier. This may be due to stale cache or that the job status failed to be updated earlier. I think Job backoffLimit is still broken.
FWIW,(assuming I'm not missing something) I can confirm on GKE 1.10.2-gke.3 (latest as of Jun 2nd) the is still broken. The following job spec endlessly creates pods:
we used the latest v1.10.3 release but backoffLimit is still broken
This issue prevents us from rolling 1.10 to all clusters
/milestone v1.11 Looks like we have a couple of PR(s) in progress and feels like we should get this fixed by the time we ship 1.11, please let me know if this fine or not.
I think that this issue should be fixed in 1.10 regardless of 1.11 as this issue causes serious cluster stability, for a fairly common scenario. Specifically for us, migration to 1.11 adds complexity and risk due to the change in the way nvidia GPUs are managed, so it will take us some time to upgrade to 1.11.
y, guess my question is ... is it fixed in master? (and hence already fixed for 1.11), if not, do we need to get this fixed in master/1.11 and backport to 1.10
Unless I'm mistaken, the objects are considered stable APIs right? (since they are under the group). If so, I also think this should be fixed in the next 1.10 point release. In general, like we would also rather to be able to use s without being forced to upgrade to 1.11.
This is a regression in functionality, and when the proper fix is determined, it should be cherry picked back to 1.10. We need it fixed in master first, however. I'm going to escalate this to sig-apps to see if we can get the right resources.

cc: This will need to merge into master, and then be cherry picked back to 1.10
PTAL
The fix is ready for review and will be cherry-picked for the next 1.10 release.
Reopening for cherry pick.
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I didn't see anything in the Changelog for v1.10.4, so i'm guessing this still hasn't been fixed yet?
The fix has landed to master but not to 1.10 yet. See It will get hopefully merged before the next 1.10.x release.
Having the same issue. Waiting for update.
This fix has been cherry picked back to 1.10, and should show up in the next patch release (1.10.5).
Any ETA for 1.10.5 yet? Even a ballpark date would be fine.
I'm planning to cut 1.10.5 tomorrow, assuming all tests will be green. In case of any last minute problems it may slip by a day or two, but so far everything looks good for tomorrow.
Thankyou to all involved! I really appreciate this being rolled back into 1.10.
Given that the fix is already on 1.11 and on 1.10 branches, this issue should be closed. Thanks for fixing this!
/close
I don't believe this is fixed? Unless I'm doing something wrong.. Both resource specs have a and . This is in GKE,
I have the same bug on 1.9, with an openshift cluster: Any plan on backporting it to 1.9 as well?
you likely are encountering a different issue, as the root cause of this bug was introduced in kubernetes 1.10, not 1.9.

Also, kubernetes 1.9 is now outside of the support window, so no fixes will be backported to the upstream branch.
I also find this bug in kubernetes 1.12.1 Client Version: version.Info{Major:"1", Minor:"12", GitVersion:"v1.12.1", GitCommit:"", GitTreeState:"clean", BuildDate:"2018-10-05T16:46:06Z", GoVersion:"go1.10.4", Compiler:"gc", Platform:"linux/amd64"} Server Version: version.Info{Major:"1", Minor:"12", GitVersion:"v1.12.1", GitCommit:"", GitTreeState:"clean", BuildDate:"2018-10-05T16:36:14Z", GoVersion:"go1.10.4", Compiler:"gc", Platform:"linux/amd64"} In pod failure condition,when i set parallelism 2, backofflimit 0,it will destory the last failure pod,only left one pod remain;And set parallelism 2, backofflimit 1,sometimes it keeps 3 pods,sometimes it kills the last failure pod remains 2
@ kubectl version: Client Version: version.Info{Major:"1", Minor:"12", GitVersion:"v1.12.3", GitCommit:"", GitTreeState:"clean", BuildDate:"2018-11-26T12:57:14Z", GoVersion:"go1.10.4", Compiler:"gc", Platform:"linux/amd64"} Server Version: version.Info{Major:"1", Minor:"10", GitVersion:"v1.10.0", GitCommit:"", GitTreeState:"clean", BuildDate:"2018-03-26T16:44:10Z", GoVersion:"go1.9.3", Compiler:"gc", Platform:"linux/amd64"} minikube version: v0.30.0 apiVersion: batch/v1 kind: Job metadata: name: whalesay1 spec: template: spec: containers: name: whalesay image: docker/whalesay command: ["cowsa", "This is a Kubernetes Job!"] restartPolicy: Never backoffLimit: 2 NAME READY STATUS RESTARTS AGE pod/whalesay1-6lt4b 0/1 ContainerCannotRun 0 59s

pod/whalesay1-86tlz 0/1 ContainerCannotRun 0 48s pod/whalesay1-8v8nr 0/1 ContainerCannotRun 0 1m pod/whalesay1-8w9k2 0/1 ContainerCannotRun 0 1m pod/whalesay1-8xxtr 0/1 ContainerCannotRun 0 53s pod/whalesay1-dl4l8 0/1 ContainerCannotRun 0 1m pod/whalesay1-fhlhg 0/1 ContainerCannotRun 0 37s pod/whalesay1-fz8mv 0/1 ContainerCannotRun 0 26s pod/whalesay1-g2mt6 0/1 ContainerCannotRun 0 9s pod/whalesay1-hgj95 0/1 ContainerCannotRun 0 1m pod/whalesay1-hrsrd 0/1 ContainerCannotRun 0 1m pod/whalesay1-hzm42 0/1 ContainerCannotRun 0 1m pod/whalesay1-mvctw 0/1 ContainerCannotRun 0 1m pod/whalesay1-n7zq9 0/1 ContainerCannotRun 0 2m pod/whalesay1-nl89l 0/1 ContainerCannotRun 0 31s pod/whalesay1-nqcmg 0/1 ContainerCreating 0 2s pod/whalesay1-p85rm 0/1 ContainerCannotRun 0 2m pod/whalesay1-pjzmd 0/1 ContainerCannotRun 0 2m pod/whalesay1-q2k7p 0/1 ContainerCannotRun 0 43s pod/whalesay1-rhvz7 0/1 ContainerCannotRun 0 1m pod/whalesay1-rzrtg 0/1 ContainerCannotRun 0 1m pod/whalesay1-xp5tr 0/1 ContainerCannotRun 0 1m pod/whalesay1-zn2s6 0/1 ContainerCannotRun 0 1m pod/whalesay1-zq4g9 0/1

ContainerCannotRun 0 14s pod/whalesay1-ztxdv 0/1 ContainerCannotRun 0 19s NAME DESIRED SUCCESSFUL AGE 1 0 2m
Just update to something newer than 1.10.0. That version is ages old and I'm sure it is fixed within the latest 1.10.x release. (Which is also out of support so update to 1.12/1.13 ASAP.)
In version "v1.10.11" the though set to 4 for a Job's pod, the pod eviction happens for 5 times and at few times it was for 3 times. Also to note that we also have applied and Below is the version details of Kubernetes that we are using
Though we have set the backoffLimit of a Job to 4 the pod eviction is still being done more than 4 times i.e. 5 times at one of the instances its three times as well. The eviction of the pod happens for a geniune reason i.e. the disk space of the pod node exhausts when the application within the pod executes, we know the reason why that's happening. The point is that the Job's-Pod should be attempted 4 times and not 5 times. Please note that strangely we don't get to see this error in another environment where we have v1.10.05. providing the version details of that environment below There the pod eviction happens as per the stated literature of Eviction with BackOffLimit. We have no issues there. Now when we have upgraded to v1.10.11 recently [ About two days back ] we are getting the reported problem. Would appreciate if someone in this forum can advise on the root cause and a solution. Do we have any flaw with version "v1.10.5" like security loophole.
10.11 is required to avoid a critical security bug. I imagine we will need to update to fix this, but we will need to find out which of the patched versions has the fix we need. We can then roll this through the environments as a staged update.
As noted above 1.11+ are supported by the community until 1.14 is out:
I experienced the same behavior with . Can somebody confirm that this not happening with = versions?

We are experiencing the same issue with version 1.11.9-docker-1. If it makes any sense we have 2 enviroments. One is Ubuntu 18.04.2 LTS and the other is CentOS Linux release 7.5.1804. It happens only at the Ubuntu enviroment.
In meantime we updated cluster: We still experiencing the issue.
Hi everyone! This issue is for a specific problem in Kubernetes 1.10. Right now, the upstream Kubernetes project supports the following three versions: 1.13, 1.14, 1.15. If you are experiencing a similar issue under any of those three versions, then please open a new issue and provide all the details requested. As the specific bug in this issue is resolved and on an unsupported version, I'm going to lock this closed issue. Thanks!