[10.x] Add support for determining off-heap memory requirements for KnnVectorsReader #14497
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
…rsReader (apache#14426) This PR adds support to KnnVectorsReader in order to determine the off-heap memory requirements. The motivation here is to give better insight into the size of off-heap memory that will be needed, so that deployments can be better scaled so that vector search workloads fit in memory, in order to provide best execution performance.
github-project-automation
bot
moved this to Open
in OpenSearch Lucene & Core Performance Tracking
github-project-automation
bot
moved this from Open
to Merged
in OpenSearch Lucene & Core Performance Tracking
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Outdated suggestions cannot be applied.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.
Backport of: