[SPARK-49896][K8S][DOCS] Drop K8s v1.28 Support #48371
Closed
Conversation
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
|
cc @viirya |
viirya
approved these changes
Oct 7, 2024
|
Thank you, @viirya ! Merged to master. |
himadripal
pushed a commit
to himadripal/spark
that referenced
this pull request
Oct 19, 2024
### What changes were proposed in this pull request? Apache Spark 4.0.0 RC1 vote will start on February 15th 2025 - https://spark.apache.org/versioning-policy.html This PR aims to update K8s docs to recommend K8s v1.29+ for Apache Spark 4.0.0. ### Why are the changes needed? **1. K8s community will release v1.32.0 on 2024-12-11** - https://github.com/kubernetes/sig-release/tree/master/releases/release-1.32#kubernetes-132 **2. Default K8s Versions in Public Cloud environments** The default K8s versions of public cloud providers are already moving to K8s 1.30 like the following. - EKS: v1.30 (Default) - GKE: v1.30 (Stable), v1.30 (Regular), v1.31 (Rapid) - AKS: v1.29 (Default), v1.30 (Support) **3. End Of Support** In addition, K8s 1.28 reached or will reach a standard support EOL around Apache Spark 4.0.0 release. | K8s | EKS | GKE | AKS | | ---- | ------- | ------- | ------- | | 1.27 | 2024-11 | 2025-02-04 | 2025-03 | - [EKS EOL Schedule](https://docs.aws.amazon.com/eks/latest/userguide/kubernetes-versions.html#kubernetes-release-calendar) - [AKS EOL Schedule](https://docs.microsoft.com/en-us/azure/aks/supported-kubernetes-versions?tabs=azure-cli#aks-kubernetes-release-calendar) - [GKE EOL Schedule](https://cloud.google.com/kubernetes-engine/docs/release-schedule) ### Does this PR introduce _any_ user-facing change? - No, this is a documentation-only change about K8s versions. - Apache Spark K8s Integration Test is currently using K8s **v1.31.0** on Minikube already. ``` * Preparing Kubernetes v1.31.0 on Docker 27.2.0 ... ``` ### How was this patch tested? Manual review. ### Was this patch authored or co-authored using generative AI tooling? No. Closes apache#48371 from dongjoon-hyun/SPARK-49896. Authored-by: Dongjoon Hyun <dongjoon@apache.org> Signed-off-by: Dongjoon Hyun <dongjoon@apache.org>
dongjoon-hyun
added a commit
to apache/spark-kubernetes-operator
that referenced
this pull request
Jan 27, 2025
### What changes were proposed in this pull request? This PR aims to upgrade the minimum K8s version to v1.30 in K8s test environment. ### Why are the changes needed? Like Apache Spark 4.0.0, K8s environments are moving toward K8s v1.30+. We had better focus on the latest K8s versions more. - apache/spark#48371 - apache/spark#49684 ### Does this PR introduce _any_ user-facing change? Technically, this is a change of test infra. ### How was this patch tested? Pass the CIs. ### Was this patch authored or co-authored using generative AI tooling? No. Closes #155 from dongjoon-hyun/SPARK-51002. Authored-by: Dongjoon Hyun <dongjoon@apache.org> Signed-off-by: Dongjoon Hyun <dongjoon@apache.org>
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
Add this suggestion to a batch that can be applied as a single commit.
This suggestion is invalid because no changes were made to the code.
Suggestions cannot be applied while the pull request is closed.
Suggestions cannot be applied while viewing a subset of changes.
Only one suggestion per line can be applied in a batch.
Add this suggestion to a batch that can be applied as a single commit.
Applying suggestions on deleted lines is not supported.
You must change the existing code in this line in order to create a valid suggestion.
Outdated suggestions cannot be applied.
This suggestion has been applied or marked resolved.
Suggestions cannot be applied from pending reviews.
Suggestions cannot be applied on multi-line comments.
Suggestions cannot be applied while the pull request is queued to merge.
Suggestion cannot be applied right now. Please check back later.
What changes were proposed in this pull request?
Apache Spark 4.0.0 RC1 vote will start on February 15th 2025
This PR aims to update K8s docs to recommend K8s v1.29+ for Apache Spark 4.0.0.
Why are the changes needed?
1. K8s community will release v1.32.0 on 2024-12-11
2. Default K8s Versions in Public Cloud environments
The default K8s versions of public cloud providers are already moving to K8s 1.30 like the following.
3. End Of Support
In addition, K8s 1.28 reached or will reach a standard support EOL around Apache Spark 4.0.0 release.
Does this PR introduce any user-facing change?
How was this patch tested?
Manual review.
Was this patch authored or co-authored using generative AI tooling?
No.