[SPARK-51049][CORE] Increase S3A Vector IO threshold for range merge #49748
+4
−0
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
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Outdated suggestions cannot be applied.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?
This PR aims to increase S3A Vector IO threshold for range merge.
Why are the changes needed?
Apache Spark 4.0.0 supported Hadoop Vectored IO via ORC and Parquet.
As a part of HADOOP-18855 VectorIO API tuning/stabilization, Apache Hadoop 3.4.2 will have new threshold default values. We had better follow these update in advance until Apache Hadoop 3.4.2 is released.
Does this PR introduce any user-facing change?
No, Hadoop Vectored IO features are new in Apache Spark 4.0.0 .
How was this patch tested?
Pass the CIs.
Was this patch authored or co-authored using generative AI tooling?
No.