Skip to content

⚡ Bolt: Prevent per-frame Map allocation in KnowledgeGraph - #205

Open
servathadi wants to merge 1 commit into
mainfrom
bolt-cache-map-allocation-1882304459859448622
Open

servathadi wants to merge 1 commit into
mainfrom
bolt-cache-map-allocation-1882304459859448622

Conversation

@servathadi

Copy link
Copy Markdown
Collaborator

💡 What:
Moved the instantiation of nodeMap = new Map() out of the requestAnimationFrame rendering loop in KnowledgeGraph.tsx. It is now computed once inside a useEffect whenever the node list changes, and cached within a useRef (nodeMapRef). The render loop now just accesses the pre-computed cached map.

🎯 Why:
In JavaScript/React, instantiating a new Map and populating it with hundreds of items during a per-frame requestAnimationFrame hot loop triggers significant memory allocations (60+ times a second). This quickly fills the heap, forcing the garbage collector (GC) to run frequently, causing noticeable stuttering (GC pauses) during the canvas animation.

📊 Impact:
Reduces per-frame object allocation to zero for this lookup structure. The simulate function now runs with fewer garbage collection pauses, producing a significantly smoother animation at high frame rates, especially for users on low-power devices.

🔬 Measurement:
Start the application and navigate to the /explore route containing the KnowledgeGraph visualization. Use Chrome DevTools Performance tab, record an interaction for 10 seconds, and observe the Memory heap graph. The "sawtooth" pattern of memory growth and GC drops will be noticeably reduced, and the Main thread will show fewer GC interruptions during rendering frames.


PR created automatically by Jules for task 1882304459859448622 started by @servathadi

Caches the `nodeMap` in `KnowledgeGraph` to prevent per-frame `new Map()` memory allocation within the `requestAnimationFrame` loop, reducing garbage collection spikes and improving animation framerates.

Co-authored-by: servathadi <116760885+servathadi@users.noreply.github.com>
@google-labs-jules

Copy link
Copy Markdown
Contributor

👋 Jules, reporting for duty! I'm here to lend a hand with this pull request.

When you start a review, I'll add a 👀 emoji to each comment to let you know I've read it. I'll focus on feedback directed at me and will do my best to stay out of conversations between you and other bots or reviewers to keep the noise down.

I'll push a commit with your requested changes shortly after. Please note there might be a delay between these steps, but rest assured I'm on the job!

For more direct control, you can switch me to Reactive Mode. When this mode is on, I will only act on comments where you specifically mention me with @jules. You can find this option in the Pull Request section of your global Jules UI settings. You can always switch back!

New to Jules? Learn more at jules.google/docs.


For security, I will only act on instructions from the user who triggered this task.

@chatgpt-codex-connector

chatgpt-codex-connector Bot commented Sep 12, 2026

Copy link
Copy Markdown

Codex Review Summary

This comment shows the latest Codex review activity on this pull request.

Review Status Commit Review trigger
📝 Code Review Completed 2026-09-12T03:35:22.560140Z 60930cd PR opened
ℹ️ About Codex in GitHub

Your team has set up Codex to review pull requests in this repo. Reviews are triggered when you

  • Open a pull request for review
  • Mark a draft as ready
  • Comment "@codex review" or "@codex security review".

Codex reacts with 👀 while any review is running, comments if it has suggestions, and reacts with 👍 once all reviews finish with no findings.

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment

Labels

None yet

Projects

None yet

Development

Successfully merging this pull request may close these issues.

1 participant