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### What changes were proposed in this pull request?
This is part 3 of 3 of #13613. Part 1 (#13724) and part 2 (#13725) are
merged. It adds `K8sJobExecutor`, a job executor named `k8s` that runs
SPARK job templates as `SparkApplication` resources of
[apache/spark-kubernetes-operator](https://github.com/apache/spark-kubernetes-operator)
0.9.x. It rejects SHELL templates for now. All the job state lives in
Kubernetes, so any Gravitino server can query and cancel any job.
- **Submit**: creates the SparkApplication.
- On a conflict, an existing SparkApplication is adopted only if it
belongs to the same job.
- A job that the cluster rejects, for example because its namespace
doesn't exist, is rejected with the reason. So is a job that sets
`spark.submit.deployMode=client`, as the operator only runs cluster
mode.
- If the API server doesn't answer, the executor tries, best effort, to
delete the SparkApplication in case it was created, as Gravitino records
no job for a failed submission. If that cleanup can't reach the API
server either, the SparkApplication may be left running (a sweep of such
orphans is a follow-up in #13554).
- **Status**:
- The SparkApplications of a namespace are listed once and cached for
`statusCacheTtlInMs` (`NamespacedResourceCache`). A miss falls back to a
GET.
- A SparkApplication with no `status` field after `noStatusTimeoutInMs`
is deleted before the job fails, so the operator can't run it later. One
whose status has no state this version can read stays unfinished.
- A failed job whose driver container hasn't terminated gets its driver
pod deleted, for the same reason. The job isn't failed while its driver
pod can't be looked up. A driver that exited is kept with its log, even
if a sidecar keeps the pod running.
- The started and finished times of a finished job, or of one whose
SparkApplication is being deleted such as a cancelled one, come from its
driver pod when it is still there. The driver pod is found by the
operator's labels and must be owned by the SparkApplication.
- While the API server can't be reached, the status queries fail right
away for 10 seconds after the first failure, so a round over many jobs
doesn't wait for the connection to time out once per job.
- **Cancel**: the SparkApplication gets a cancel-requested annotation,
written with a resource-version checked update so a job that stops
meanwhile isn't marked, then is deleted with `Foreground` propagation.
The job is `CANCELLED` once it is being deleted or has stopped.
- **Ownership**: the status, cancel and output paths only use a
SparkApplication that is managed by Gravitino and whose job id label
matches its name. Anything else with the name is treated as missing.
- **Cluster**: a job whose execution id names another `cluster` fails
its queries with `IllegalStateException` rather than
`NoSuchJobException`, so it isn't ended while it may still run.
`cluster` must be the same on every server and must not be renamed while
jobs run.
- **Output**: stdout is the tail of the driver pod log (`PodLogUtils`).
Kubernetes merges stderr into it, so stderr is empty.
The executor isn't registered in `JobExecutorFactory` or shipped in the
distribution yet. That is #13616.
### Why are the changes needed?
The only built-in job executor, `local`, runs jobs as child processes of
the Gravitino server, which isn't suitable for production. This is the
first step of #13554.
Fix: #13613
### Does this PR introduce _any_ user-facing change?
Yes, the configurations under `gravitino.jobExecutor.k8s.` added in part
1 take effect once the executor is registered in #13616.
- Connection: `cluster`, `kubeconfig`, `context`, `masterUrl`,
`caCertFile`, `tokenFile`, `connectionTimeoutInMs`,
`requestTimeoutInMs`, `requestRetries`
- Jobs: `namespace` (required), `namePrefix`, `statusCacheTtlInMs`,
`noStatusTimeoutInMs`
- Spark: `spark.image` and `spark.sparkVersion` (both required),
`spark.serviceAccount`, `spark.resourceRetainDurationInMs`,
`spark.ttlAfterStopInMs`, `spark.driverStartTimeoutInMs`,
`spark.driverReadyTimeoutInMs`, `spark.conf.*`
### How was this patch tested?
- Unit tests. The executor tests run against the fabric8 mock server.
- Manually on a local Kubernetes cluster (OrbStack) with operator 0.9.0,
driving the executor directly: a successful job, a failing job, a
cancelled job, a job whose driver can't be scheduled, and reading the
driver output. Re-run after the second review (Kubernetes 1.35, operator
0.9.0): a successful job, a failing job and a cancelled job, with their
times and output, and a cancel of a finished job, which keeps its
outcome.
🤖 Generated with [Claude Code](https://claude.com/claude-code)
---------
Co-authored-by: Claude Opus 5.5 <noreply@anthropic.com>
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- plugins/k8s-job-executor/src
- main/java/org/apache/gravitino/job/k8s
- spark
- test/java/org/apache/gravitino/job/k8s
- spark
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