[SPARK-53093][K8S][DOCS] Drop K8s v1.31 Support #51808
Closed
Conversation
This file contains hidden or 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
Member
Author
|
Could you review this doc PR, @LuciferYang ? |
Member
Author
|
Thank you, @LuciferYang . Merged to master. |
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
2 participants
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Outdated suggestions cannot be applied.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?
This PR aims to update K8s docs to recommend K8s v1.32+ at Apache Spark 4.1.0 to utilize more stable features like the following example features graduated to
Stableat K8s v1.32.Why are the changes needed?
1. K8s v1.31 will enter the maintenance soon (2025-08-28) and will reach the end of support on 2025-10-28
2. Default K8s Versions in Public Cloud environments
The default K8s versions of public cloud providers are already moving to K8s 1.32+ like the following.
3. End Of Support
In addition, K8s 1.31 will reach the end of standard support around Apache Spark 4.1.0 release.
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.