Skip to content

[df bulk] Centrally propagate bulk size through RLoopManager#22472

Draft
vepadulano wants to merge 3 commits into
root-project:masterfrom
vepadulano:df-bulk-bulksize-from-lm
Draft

[df bulk] Centrally propagate bulk size through RLoopManager#22472
vepadulano wants to merge 3 commits into
root-project:masterfrom
vepadulano:df-bulk-bulksize-from-lm

Conversation

@vepadulano

Copy link
Copy Markdown
Member

Needs #22313 #22461

The RLoopManager decides the current bulk size that all nodes of the computation graph must adhere to. Currently this is set to one, in the future it may vary.

Part 3 of N of the dataframe bulk processing effort.

@github-actions

github-actions Bot commented Jun 3, 2026

Copy link
Copy Markdown

Test Results

    22 files      22 suites   3d 11h 55m 53s ⏱️
 3 857 tests  3 857 ✅ 0 💤 0 ❌
77 093 runs  77 093 ✅ 0 💤 0 ❌

Results for commit 385a9ce.

♻️ This comment has been updated with latest results.

Sets the stage for future bulk reading where the actual values that need to be passed to downstream nodes may need to get stored in a separate location.
Nodes of the computation graph which may operate a selection on which entries are valid or not are modified to accommodate for multiple entries being evaluated at the same time. For now, the size of the bulk is set to one.

Note that this commit does not touch in any way the reading of data.
The RLoopManager decides the current bulk size that all nodes of the computation graph must adhere to. Currently this is set to one, in the future it may vary.
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment

Projects

None yet

Development

Successfully merging this pull request may close these issues.

1 participant