[SPARK-51000][K8S][DOCS] Drop K8s v1.29 Support #49684
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HyukjinKwon
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Jan 27, 2025
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Thank you, @HyukjinKwon ! Merged to master/4.0. |
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### What changes were proposed in this pull request? Apache Spark 4.0.0 is expected after March 2025. - https://spark.apache.org/versioning-policy.html Apache Spark K8s Integration Test is currently using K8s **v1.32.0** on Minikube already. - #49364 This PR aims to update K8s docs to recommend K8s v1.30+ for Apache Spark 4.0.0. ### Why are the changes needed? **1. K8s v1.29 entered the maintenance since 2024-12-28 and will reach the end of support on 2025-02-28** - https://kubernetes.io/releases/patch-releases/#1-29 **2. Default K8s Versions in Public Cloud environments** The default K8s versions of public cloud providers are already moving to K8s 1.31 like the following. - EKS: v1.31 (Default), v1.32 (Available) - GKE: v1.31 (Stable), v1.30 (Regular), v1.32 (Rapid) - AKS: v1.30 (Default), v1.31 (GA), v1.32 (Preview) **3. End Of Support** In addition, K8s 1.29 reached or will reach a standard support EOL around Apache Spark 4.0.0 release. | K8s | EKS | GKE | AKS | | ---- | ------- | ------- | ------- | | 1.29 | 2025-03 | 2025-03 | 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) **4. Stable Features** From K8s v1.30, the following features become `Stable`. - Pod Scheduling Readiness - Container Resource based Pod Autoscaling ### Does this PR introduce _any_ user-facing change? No, this is a documentation-only change about K8s versions. ### How was this patch tested? Manual review. ### Was this patch authored or co-authored using generative AI tooling? No. Closes #49684 from dongjoon-hyun/SPARK-51000. Authored-by: Dongjoon Hyun <[email protected]> Signed-off-by: Dongjoon Hyun <[email protected]> (cherry picked from commit 394eebd) Signed-off-by: Dongjoon Hyun <[email protected]>
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### 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 <[email protected]> Signed-off-by: Dongjoon Hyun <[email protected]>
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What changes were proposed in this pull request?
Apache Spark 4.0.0 is expected after March 2025.
Apache Spark K8s Integration Test is currently using K8s v1.32.0 on Minikube already.
This PR aims to update K8s docs to recommend K8s v1.30+ for Apache Spark 4.0.0.
Why are the changes needed?
1. K8s v1.29 entered the maintenance since 2024-12-28 and will reach the end of support on 2025-02-28
2. Default K8s Versions in Public Cloud environments
The default K8s versions of public cloud providers are already moving to K8s 1.31 like the following.
3. End Of Support
In addition, K8s 1.29 reached or will reach a standard support EOL around Apache Spark 4.0.0 release.
4. Stable Features
From K8s v1.30, the following features become
Stable.Does this PR introduce any user-facing change?
No, this is a documentation-only change about K8s versions.
How was this patch tested?
Manual review.
Was this patch authored or co-authored using generative AI tooling?
No.