the dev of [FEATURE]Auto reload model when cluster rebooted/node rejoin #649
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
wujunshen
changed the title
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Outdated suggestions cannot be applied.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.
Description
the new feature:
Auto reload model when cluster rebooted/node rejoin
Issues Resolved
please see: #577
When a ml node under the opensearch cluster halt down with some unknown reasons. The models under this node will be broken and impact the process of the inference or reduced performance. So we add a new feature: When a ml node halt down, we reboot this ml node, the opensearch on this node will auto reload all the models under this node,and user will not reload the model manually. Even in extreme cases, if the reload operation is still unsuccessful, opensearch will also tell the user via logs that the reload was unsuccessful.
Check List
By submitting this pull request, I confirm that my contribution is made under the terms of the Apache 2.0 license.
For more information on following Developer Certificate of Origin and signing off your commits, please check here.