[SPARK-54422][K8S] Increase spark.kubernetes.allocation.batch.size to 20
#53134
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
HyukjinKwon
approved these changes
Nov 19, 2025
Member
Author
|
Thank you, @HyukjinKwon . Merged to master for Apache Spark 4.2.0. |
huangxiaopingRD
pushed a commit
to huangxiaopingRD/spark
that referenced
this pull request
Nov 25, 2025
…to 20 ### What changes were proposed in this pull request? This PR aims to increase `spark.kubernetes.allocation.batch.size` to 20 from 10 in Apache Spark 4.2.0. ### Why are the changes needed? Since Apache Spark 4.0.0, Apache Spark uses `10` as the default value of executor allocation batch size. This PR aims to increase it further in 2025. - apache#49681 ### Does this PR introduce _any_ user-facing change? Yes, the users will see faster Spark job resource allocation. The migration guide is updated correspondingly. ### How was this patch tested? Pass the CIs. ### Was this patch authored or co-authored using generative AI tooling? No. Closes apache#53134 from dongjoon-hyun/SPARK-54422. 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
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Outdated suggestions cannot be applied.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 increase
spark.kubernetes.allocation.batch.sizeto 20 from 10 in Apache Spark 4.2.0.Why are the changes needed?
Since Apache Spark 4.0.0, Apache Spark uses
10as the default value of executor allocation batch size. This PR aims to increase it further in 2025.spark.kubernetes.allocation.batch.sizeto 10 #49681Does this PR introduce any user-facing change?
Yes, the users will see faster Spark job resource allocation. The migration guide is updated correspondingly.
How was this patch tested?
Pass the CIs.
Was this patch authored or co-authored using generative AI tooling?
No.