Skip to content

spark-operator: Update Notebooks integration to use Enterprise Gateway 3.3.0 defaults#4437

Open
Ramneek-kalra wants to merge 1 commit into
kubeflow:masterfrom
Ramneek-kalra:patch-3
Open

spark-operator: Update Notebooks integration to use Enterprise Gateway 3.3.0 defaults#4437
Ramneek-kalra wants to merge 1 commit into
kubeflow:masterfrom
Ramneek-kalra:patch-3

Conversation

@Ramneek-kalra

Copy link
Copy Markdown

Summary

Updates the Integration with Kubeflow Notebooks guide so the Jupyter Enterprise Gateway install matches current chart defaults and the latest release.

Fixes: #

Motivation

The current docs pin Jupyter Enterprise Gateway to 3.2.3 and ask readers to deploy with a custom values.yaml. That custom config, plus the PVC / hostPath kernelspecs mount path, caused real install friction: mounted kernelspecs were not detected reliably.

The Enterprise Gateway Helm chart already:

  • Ships elyra/enterprise-gateway:3.3.0 and elyra/kernel-image-puller:3.3.0
  • Includes spark_python_operator in kernel.allowedKernels
  • Keeps kernelspecsPvc.enabled: false by default

So the docs should install with chart defaults and avoid recommending PVC-mounted kernelspecs for the common path.

Changes

  • Bump Helm chart / image references from 3.2.33.3.0
  • Replace the custom enterprise-gateway-helm.yaml install with the default chart install (no --values override)
  • Optionally note --set kernel.defaultKernelName=spark_python_operator if readers want that kernel as default
  • Remove (or clearly de-emphasize) the PVC / hostPath kernelspecs customization steps
  • Point advanced customization to the upstream Jupyter Enterprise Gateway docs
  • Correct the kernel name in the “what happens next” steps to spark_python_operator (was pyspark)

Test plan

  • Preview the page locally (or via Netlify/preview if available) and confirm Step 1 shows only the default Helm install for v3.3.0
  • Confirm there is no custom values YAML required for the happy path
  • Confirm the PVC kernelspecs section is removed or marked as not recommended
  • Confirm remaining download/image URLs use 3.3.0
  • Confirm “select kernel” text uses spark_python_operator
  • Manually verified Helm install against a cluster using chart defaults (optional but recommended):
helm upgrade --install enterprise-gateway \
  https://github.com/jupyter-server/enterprise_gateway/releases/download/v3.3.0/jupyter_enterprise_gateway_helm-3.3.0.tar.gz \
  --namespace enterprise-gateway \
  --create-namespace \
  --wait

spark-operator: Update Notebooks integration to use Enterprise Gateway 3.3.0 defaults

Use the Jupyter Enterprise Gateway Helm chart defaults instead of a custom values file, and bump the install from 3.2.3 to 3.3.0.

Also remove the PVC-mounted kernelspecs guidance, which is easy to misconfigure and is not needed because spark_python_operator ships with
the chart defaults.

Signed-off-by: Ramneek kalraramneekhmr@gmail.com

Signed-off-by: Ramneek Kalra <kalraramneekhmr@gmail.com>
@google-oss-prow

Copy link
Copy Markdown

Hi @Ramneek-kalra. Thanks for your PR.

I'm waiting for a kubeflow member to verify that this patch is reasonable to test. If it is, they should reply with /ok-to-test on its own line. Until that is done, I will not automatically test new commits in this PR, but the usual testing commands by org members will still work. Regular contributors should join the org to skip this step.

Once the patch is verified, the new status will be reflected by the ok-to-test label.

I understand the commands that are listed here.

Details

Instructions for interacting with me using PR comments are available here. If you have questions or suggestions related to my behavior, please file an issue against the kubernetes/test-infra repository.

@google-oss-prow
google-oss-prow Bot requested a review from ImpSy July 25, 2026 16:40
@google-oss-prow google-oss-prow Bot added the area/spark-operator AREA: Kubeflow Spark Operator label Jul 25, 2026
@google-oss-prow
google-oss-prow Bot requested a review from nabuskey July 25, 2026 16:40
@google-oss-prow

Copy link
Copy Markdown

[APPROVALNOTIFIER] This PR is NOT APPROVED

This pull-request has been approved by:
Once this PR has been reviewed and has the lgtm label, please assign yuchaoran2011 for approval. For more information see the Kubernetes Code Review Process.

The full list of commands accepted by this bot can be found here.

Details Needs approval from an approver in each of these files:

Approvers can indicate their approval by writing /approve in a comment
Approvers can cancel approval by writing /approve cancel in a comment

@github-actions

Copy link
Copy Markdown

🚫 This command cannot be processed. Only organization members or owners can use the commands.

@Ramneek-kalra

Copy link
Copy Markdown
Author

Hi @yuchaoran2011 — could you take a look when you have a chance, and /ok-to-test if this looks reasonable?

@github-actions

Copy link
Copy Markdown

🚫 This command cannot be processed. Only organization members or owners can use the commands.

@Arhell Arhell left a comment

Copy link
Copy Markdown
Member

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

/ok-to-test

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment

Labels

area/spark-operator AREA: Kubeflow Spark Operator ok-to-test size/XS

Projects

None yet

Development

Successfully merging this pull request may close these issues.

2 participants