spark-operator: Update Notebooks integration to use Enterprise Gateway 3.3.0 defaults#4437
spark-operator: Update Notebooks integration to use Enterprise Gateway 3.3.0 defaults#4437Ramneek-kalra wants to merge 1 commit into
Conversation
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>
|
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 Once the patch is verified, the new status will be reflected by the I understand the commands that are listed here. DetailsInstructions 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. |
|
[APPROVALNOTIFIER] This PR is NOT APPROVED This pull-request has been approved by: The full list of commands accepted by this bot can be found here. DetailsNeeds approval from an approver in each of these files:Approvers can indicate their approval by writing |
|
🚫 This command cannot be processed. Only organization members or owners can use the commands. |
|
Hi @yuchaoran2011 — could you take a look when you have a chance, and |
|
🚫 This command cannot be processed. Only organization members or owners can use the commands. |
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
3.2.3and ask readers to deploy with a customvalues.yaml. That custom config, plus the PVC /hostPathkernelspecs mount path, caused real install friction: mounted kernelspecs were not detected reliably.The Enterprise Gateway Helm chart already:
elyra/enterprise-gateway:3.3.0andelyra/kernel-image-puller:3.3.0spark_python_operatorinkernel.allowedKernelskernelspecsPvc.enabled: falseby defaultSo the docs should install with chart defaults and avoid recommending PVC-mounted kernelspecs for the common path.
Changes
3.2.3→3.3.0enterprise-gateway-helm.yamlinstall with the default chart install (no--valuesoverride)--set kernel.defaultKernelName=spark_python_operatorif readers want that kernel as defaulthostPathkernelspecs customization stepsspark_python_operator(waspyspark)Test plan
v3.3.03.3.0spark_python_operator