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Support kubeflow.org/xgboostjob #1114

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merged 2 commits into from
Sep 15, 2023

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tenzen-y
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@tenzen-y tenzen-y commented Sep 12, 2023

What type of PR is this?

/kind feature

What this PR does / why we need it:

Support kubeflow.org/xgboostjob.

Which issue(s) this PR fixes:

Part-of #297

Special notes for your reviewer:

Does this PR introduce a user-facing change?

Support kubeflow.org/xgboostjob

@k8s-ci-robot k8s-ci-robot added release-note Denotes a PR that will be considered when it comes time to generate release notes. kind/documentation Categorizes issue or PR as related to documentation. labels Sep 12, 2023
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[APPROVALNOTIFIER] This PR is APPROVED

This pull-request has been approved by: tenzen-y

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@k8s-ci-robot k8s-ci-robot added cncf-cla: yes Indicates the PR's author has signed the CNCF CLA. approved Indicates a PR has been approved by an approver from all required OWNERS files. size/XXL Denotes a PR that changes 1000+ lines, ignoring generated files. labels Sep 12, 2023
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/hold for review

@k8s-ci-robot k8s-ci-robot added the do-not-merge/hold Indicates that a PR should not merge because someone has issued a /hold command. label Sep 12, 2023
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LGTM, have you tested this on a running cluster?
/assign @alculquicondor

return len(createdWorkload.Status.Conditions) == 2
}, util.ConsistentDuration, util.Interval).Should(gomega.BeTrue())

ginkgo.By("checking the job gets suspended when parallelism changes and the added node selectors are removed")
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non-blocking nit: we could make the integration test shorter as the implementation is pretty well commonized. I'm thinking of this scenario as a potential overkill, but I don't have a strong view as some integration tests are needed as a scenarios like this is probably <1s anyway.

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That's a good point.

we could make the integration test shorter as the implementation is pretty well commonized. I'm thinking of this scenario as a potential overkill

Which does that indicate all integrations or all kubeflow jobs?

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We have pretty well commonized code at both levels - between integrations, and kubeflow integrations in particular. As a result each kubeflow integration implements only around 10 functions, and all are one-liners.

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That's a good point.

we could make the integration test shorter as the implementation is pretty well commonized. I'm thinking of this scenario as a potential overkill

Which does that indicate all integrations or all kubeflow jobs?

I would focus only on kubeflow jobs here.

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It makes sense. I think moving this case to a unit test might be better since this scenario might be useful to check expected behavior although this is overkill as integration tests.
WDYT?

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sgtm, still I would kieep some basic integration tests per integratoin, can be follow up

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Let's keep tracking by creating an issue.

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sgtm, would you like to create one?

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I apologize that I forgot to push Submit new Issue button 😞
Created: #1119

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LGTM, have you tested this on a running cluster? /assign @alculquicondor

Yes, I verified this feature on a real cluster using the following XGBoostJob:

apiVersion: kubeflow.org/v1
kind: XGBoostJob
metadata:
  name: xgboost-dist-iris-test-train
  namespace: default
  labels:
    kueue.x-k8s.io/queue-name: user-queue
spec:
  xgbReplicaSpecs:
    Master:
      replicas: 1
      restartPolicy: Never
      template:
        spec:
          containers:
          - name: xgboost
            image: docker.io/merlintang/xgboost-dist-iris:1.1
            resources:
              requests:
                cpu: 0.5
                memory: 256Mi
            ports:
            - containerPort: 9991
              name: xgboostjob-port
            imagePullPolicy: Always
            args:
              - --job_type=Train
              - --xgboost_parameter=objective:multi:softprob,num_class:3
              - --n_estimators=10
              - --learning_rate=0.1
              - --model_path=/tmp/xgboost-model
              - --model_storage_type=local
    Worker:
      replicas: 2
      restartPolicy: ExitCode
      template:
        spec:
          containers:
          - name: xgboost
            image: docker.io/merlintang/xgboost-dist-iris:1.1
            resources:
              requests:
                cpu: 0.5
                memory: 256Mi
            ports:
            - containerPort: 9991
              name: xgboostjob-port
            imagePullPolicy: Always
            args:
              - --job_type=Train
              - --xgboost_parameter="objective:multi:softprob,num_class:3"
              - --n_estimators=10
              - --learning_rate=0.1

I will create a PR for the document once #1109 (comment) is resolved.

@k8s-ci-robot k8s-ci-robot added the needs-rebase Indicates a PR cannot be merged because it has merge conflicts with HEAD. label Sep 13, 2023
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/remove-kind documentation
/kind feature

@k8s-ci-robot k8s-ci-robot added kind/feature Categorizes issue or PR as related to a new feature. and removed kind/documentation Categorizes issue or PR as related to documentation. labels Sep 13, 2023
@k8s-ci-robot k8s-ci-robot removed the needs-rebase Indicates a PR cannot be merged because it has merge conflicts with HEAD. label Sep 13, 2023
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/retest
Due to #1090

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#1090 happened again :(

/test pull-kueue-test-e2e-main-1-24

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mimowo commented Sep 14, 2023

/lgtm
/assign @trasc
in case @trasc would like to give a review pass as he reviewed the previous kubeflow integrations

@k8s-ci-robot k8s-ci-robot added the lgtm "Looks good to me", indicates that a PR is ready to be merged. label Sep 14, 2023
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LGTM label has been added.

Git tree hash: 915ed626e7bc079fe2a4b79283648146bf2fa7ce

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/lgtm

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Let's merge this.
/hold cancel

@k8s-ci-robot k8s-ci-robot removed the do-not-merge/hold Indicates that a PR should not merge because someone has issued a /hold command. label Sep 15, 2023
@tenzen-y tenzen-y mentioned this pull request Sep 15, 2023
2 tasks
@k8s-ci-robot k8s-ci-robot merged commit 731938d into kubernetes-sigs:main Sep 15, 2023
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@k8s-ci-robot k8s-ci-robot added this to the v0.5 milestone Sep 15, 2023
@tenzen-y tenzen-y deleted the add-support-xgboostjob branch September 15, 2023 08:52
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5 participants