[df] Request dictionary for mergeable THnSparseD#22560
Merged
vepadulano merged 1 commit intoJun 11, 2026
Merged
Conversation
This allows proper serialization in case of calling HistoNSparseD operation in distributed mode.
Test Results 22 files 22 suites 3d 16h 5m 1s ⏱️ For more details on these failures, see this check. Results for commit 5df99f5. |
dpiparo
approved these changes
Jun 10, 2026
Member
Author
|
/backport to 6.40 |
Member
Author
|
/backport to 6.38 |
|
Preparing to backport PR #22560 to branch 6.40 requested by vepadulano |
|
Preparing to backport PR #22560 to branch 6.38 requested by vepadulano |
|
This PR has been backported to branch 6.40: #22569 |
|
This PR has been backported to branch 6.38: #22571 |
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
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
3 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Outdated suggestions cannot be applied.This suggestion has been applied or marked resolved.Suggestions cannot be applied from pending reviews.Suggestions cannot be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.
This allows proper serialization in case of calling HistoNSparseD operation in distributed mode.