Troubleshooting Jobs

Troubleshooting the status of a Job

This doc is about troubleshooting pending Kubernetes Jobs, however, most of the ideas can be extrapolated to other supported job types.

See the Kueue overview to visualize the components that collaborate to run a Job.

In this document, assume that your Job is called my-job and it’s in the my-namespace namespace.

Identifying the Workload for your Job

For each Job, Kueue creates a Workload object to hold the details about the admission of the Job, whether it was admitted or not.

To find the Workload for a Job, you can use any of the following steps:

  • You can obtain the Workload name from the Job events by running the following command:

    kubectl describe job -n my-namespace my-job

    The relevant event will look like the following:

      Normal  CreatedWorkload   24s   batch/job-kueue-controller  Created Workload: my-namespace/job-my-job-19797

  • Kueue includes the UID of the source Job in the label kueue.x-k8s.io/job-uid. You can obtain the workload name with the following commands:

    JOB_UID=$(kubectl get job -n my-namespace my-job -o jsonpath='{.metadata.uid}')
kubectl get workloads -n my-namespace -l "kueue.x-k8s.io/job-uid=$JOB_UID"

    The output looks like the following:

    NAME               QUEUE         RESERVED IN   ADMITTED   AGE
job-my-job-19797   user-queue    cluster-queue True       9m45s

  • You can list all of the workloads in the same namespace of your job and identify the one that matches the format <api-name>-<job-name>-<hash>. You can run a command like the following:

    kubectl get workloads -n my-namespace | grep job-my-job

    The output looks like the following:

    NAME               QUEUE         RESERVED IN   ADMITTED   AGE
job-my-job-19797   user-queue    cluster-queue True       9m45s

Once you have identified the name of the Workload, you can obtain all details by running the following command:

kubectl describe workload -n my-namespace job-my-job-19797

What ResourceFlavors does my Job use?

Once you identified the Workload for you Job run the following command to get all the details of your Workload:

kubectl describe workload -n my-namespace job-my-job-19797

The output should be similar to the following:

apiVersion: kueue.x-k8s.io/v1beta1
kind: Workload
...
status:
  admission:
    clusterQueue: cluster-queue
    podSetAssignments:
    - count: 3
      flavors:
        cpu: default-flavor
        memory: default-flavor
      name: main
      resourceUsage:
        cpu: "3"
        memory: 600Mi
  ...

Now you can clearly see what ResourceFlavors your Job uses.

Is my Job suspended?

To know whether your Job is suspended, look for the value of the .spec.suspend field, by running the following command:

kubectl get job -n my-namespace my-job -o jsonpath='{.spec.suspend}'

When a job is suspended, Kubernetes does not create any Pods for the Job. If the Job has Pods already running, Kubernetes terminates and deletes these Pods.

A Job is suspended when Kueue hasn’t admitted it yet or when it was preempted to accommodate another job. To understand why your Job is suspended, check the corresponding Workload object.

Is my Job admitted?

If your Job is not running, check whether Kueue has admitted the Workload.

The starting point to know whether a Job was admitted, it’s pending or was not yet attempted for admission is to look at the Workload status.

Run the following command to obtain the full status of a Workload:

kubectl get workload -n my-namespace my-workload -o yaml

Admitted Workload

If your Job is admitted, the Workload should have a status similar to the following:

apiVersion: kueue.x-k8s.io/v1beta1
kind: Workload
...
status:
  ...
  conditions:
  - lastTransitionTime: "2024-03-19T20:49:17Z"
    message: Quota reserved in ClusterQueue cluster-queue
    reason: QuotaReserved
    status: "True"
    type: QuotaReserved
  - lastTransitionTime: "2024-03-19T20:49:17Z"
    message: The workload is admitted
    reason: Admitted
    status: "True"
    type: Admitted

Pending Workload

If Kueue has attempted to admit the Workload, but failed to so due to lack of quota, the Workload should have a status similar to the following:

status:
  conditions:
  - lastTransitionTime: "2024-03-21T13:43:00Z"
    message: 'couldn''t assign flavors to pod set main: insufficient quota for cpu
      in flavor default-flavor in ClusterQueue'
    reason: Pending
    status: "False"
    type: QuotaReserved
  resourceRequests:
    name: main
    resources:
      cpu:    3
      Memory: 600Mi

Does my ClusterQueue have the resource requests that the job requires?

When you submit a job that has a resource request, for example:

$ kubectl get jobs job-0-9-size-6 -o json | jq -r .spec.template.spec.containers[0].resources

{
  "limits": {
    "cpu": "2"
  },
  "requests": {
    "cpu": "2"
  }
}

If your ClusterQueue does not have a definition for the requests, Kueue cannot admit the job. For the job above, you should define cpu quotas under resourceGroups. A ClusterQueue defining cpu quota looks like the following:

apiVersion: kueue.x-k8s.io/v1beta1
kind: ClusterQueue
metadata:
  name: "cluster-queue"
spec:
  namespaceSelector: {}
  resourceGroups:
  - coveredResources: ["cpu"]
    flavors:
    - name: "default-flavor"
      resources:
      - name: "cpu"
        nominalQuota: 40

See resources groups for more information.

Pending Admission Checks

When the ClusterQueue has admission checks configured, such as ProvisioningRequest or MultiKueue, a Workload might stay with a status similar to the following, until the admission checks pass:

status:
  admission:
    clusterQueue: dws-cluster-queue
    podSetAssignments:
      ...
  admissionChecks:
  - lastTransitionTime: "2024-05-03T20:01:59Z"
    message: ""
    name: dws-prov
    state: Pending
  conditions:
  - lastTransitionTime: "2024-05-03T20:01:59Z"
    message: Quota reserved in ClusterQueue dws-cluster-queue
    reason: QuotaReserved
    status: "True"
    type: QuotaReserved

Unattempted Workload

When using a ClusterQueue with the StrictFIFO queueingStrategy, Kueue only attempts to admit the head of each ClusterQueue. As a result, if Kueue didn’t attempt to admit a Workload, the Workload status might not contain any condition.

Misconfigured LocalQueues or ClusterQueues

If your Job references a LocalQueue that doesn’t exist or the LocalQueue or ClusterQueue that it references is misconfigured, the Workload status would look like the following:

status:
  conditions:
  - lastTransitionTime: "2024-03-21T13:55:21Z"
    message: LocalQueue user-queue doesn't exist
    reason: Inadmissible
    status: "False"
    type: QuotaReserved

See Troubleshooting Queues to understand why a ClusterQueue or a LocalQueue is inactive.

Is my Job preempted?

If your Job is not running, and your ClusterQueues have preemption enabled, you should check whether Kueue preempted the Workload.

status:
  conditions:
  - lastTransitionTime: "2024-03-21T15:49:56Z"
    message: 'couldn''t assign flavors to pod set main: insufficient unused quota
      for cpu in flavor default-flavor, 9 more needed'
    reason: Pending
    status: "False"
    type: QuotaReserved
  - lastTransitionTime: "2024-03-21T15:49:55Z"
    message: Preempted to accommodate a higher priority Workload
    reason: Preempted
    status: "True"
    type: Evicted
  - lastTransitionTime: "2024-03-21T15:49:56Z"
    message: The workload has no reservation
    reason: NoReservation
    status: "False"
    type: Admitted

The Evicted condition shows that the Workload was preempted and the QuotaReserved condition with status: "True" shows that Kueue already attempted to admit it again, unsuccessfully in this case.

Are the Pods of my Job running?

When a Job is not suspended, Kubernetes creates Pods for this Job. To check how many of these Pods are scheduled and running, check the Job status.

Run the following command to obtain the full status of a Job:

kubectl get job -n my-namespace my-job -o yaml

The output will be similar to the following:

...
status:
  active: 5
  ready: 4
  succeeded: 1
  ...

The active field shows how many Pods for the Job exist, and the ready field shows how many of them are running.

To list all the Pods of the Job, run the following command:

kubectl get pods -n my-namespace -l batch.kubernetes.io/job-name=my-job

The output will be similar to the following:

NAME             READY   STATUS    RESTARTS   AGE
my-job-0-nxmpx   1/1     Running   0          3m20s
my-job-1-vgms2   1/1     Running   0          3m20s
my-job-2-74gw7   1/1     Running   0          3m20s
my-job-3-d4559   1/1     Running   0          3m20s
my-job-4-pg75n   0/1     Pending   0          3m20s

If a Pod or Pods are stuck in Pending status, check the latest events issued for the Pod by running the following command:

kubectl describe pod -n my-namespace my-job-0-pg75n

If the Pod is unschedulable, the output will be similar to the following:

Events:
  Type     Reason             Age                From                Message
  ----     ------             ----               ----                -------
  Warning  FailedScheduling   13s (x2 over 15s)  default-scheduler   0/9 nodes are available: 9 node(s) didn't match Pod's node affinity/selector. preemption: 0/9 nodes are available: 9 Preemption is not helpful for scheduling.
  Normal   NotTriggerScaleUp  13s                cluster-autoscaler  pod didn't trigger scale-up:

Last modified February 7, 2025: Graduate WorkloadResourceRequestsSummary to Stable (#4166) (57747437)