Is it possible to rerun kubernetes job?

I have the following Kubernetes Job configuration:

---
apiVersion: batch/v1
kind: Job
metadata:
  name: dbload
  creationTimestamp: 
spec:
  template:
    metadata:
      name: dbload
    spec:
      containers:
      - name: dbload
        image: sdvl3prox001:7001/pbench/tdload
        command: ["/opt/pbench/loadTpcdsData.sh",  "qas0063", "dbc", "dbc", "1"]
      restartPolicy: Never
      imagePullSecrets: 
        - name: pbenchregkey
status: {}

When I do kubectl create -f dbload-deployment.yml --record the job and a pod are created, Docker container runs to completion and I get this status:

$ kubectl get job dbload
NAME      DESIRED   SUCCESSFUL   AGE
dbload    1         1            1h
$ kubectl get pods -a
NAME           READY     STATUS      RESTARTS   AGE
dbload-0mk0d   0/1       Completed   0          1h

This job is one time deal and I need to be able to rerun it. If I attempt to rerun it with kubectl create command I get this error

$ kubectl create -f dbload-deployment.yml --record
Error from server: error when creating "dbload-deployment.yml": jobs.batch "dbload" already exists

Of course I can do kubectl delete job dbload and then run kubectl create but I'm wondering if I can somehow re-awaken the job that already exists?

No. There is definitely no way to rerun a kubernetes job. You need to delete it first.

Simulate a rerun by replacing the job with itself:

1. Backup your job:

• kubectl get job "your-job" -o json > your-job.json

2. Replace the job in place:

• kubectl get job "your-job" -o json | kubectl replace --force -f -

If you get errors due to auto-generated labels or selectors, you can delete or edit them with jq:

• kubectl get job "your-job" -o json | jq 'del(.spec.selector)' | jq 'del(.spec.template.metadata.labels)' | kubectl replace --force -f -

UPDATED with Jeremy Huiskamp's suggestion

You can also avoid the error you mentioned by specifying

  generateName: dbload

instead of simply name

In that case, each job you submit with this yaml file will have a unique name that will look something like dbloada1b2c. Then you can decide whether you need to delete the old jobs, but you won't have to do it.

Here is a working yaml example:

apiVersion: batch/v1
kind: Job
metadata:
  generateName: netutils-
spec:
  parallelism: 1
  template:
    spec:
      containers:
      - image: amouat/network-utils 
        name: netutil
      restartPolicy: Never

This is the output from kubectl get job after two kubectl create -f example.yaml commands:

NAME             COMPLETIONS   DURATION   AGE
netutils-5bs2s   0/1           14s        14s
netutils-dsvfk   0/1           10s        10s