Repository navigation
Document request latency inside a benchmark session - #1033
Open
Supersynergy wants to merge 2 commits into
Open
Supersynergy wants to merge 2 commits into
Supersynergy wants to merge 2 commits into
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
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Outdated suggestions cannot be applied.This suggestion has been applied or marked resolved.Suggestions cannot be applied from pending reviews.Suggestions cannot be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.
A persistent process handles many requests per Hyperfine run. Its overall wall time can hide a change in how long a user waits after the last keystroke. This example collects both measurements with the existing JSON export and iteration variable.
In a search-client replay, changing how the client queued requests reduced p95 final-keystroke latency from 48.89 ms to 9.86 ms. Median whole-session time moved from 3.326 s to 3.248 s. All 144 final results matched independent searches. The observed gain belongs to the search client's queue policy.
Verified the documented shell command and both Python snippets with Hyperfine 2.0.0. Six sessions produced 72 request samples. Recomputed both medians and both p95 values from the original client traces and checked session times against the Hyperfine exports.