⚡ Bolt: Prevent O(N^2) render bottleneck in LiquidStream#67
⚡ Bolt: Prevent O(N^2) render bottleneck in LiquidStream#67teerthsharma wants to merge 1 commit into
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Extracted the message rendering logic within `LiquidStream.tsx` into a separate `MemoizedMessageItem` component and wrapped it in `React.memo()`. This prevents the O(N^2) render bottleneck where appending a single message to the chat history caused the entire list of previously rendered messages to re-render. Co-authored-by: teerthsharma <78080953+teerthsharma@users.noreply.github.com>
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💡 What: Refactored the
LiquidStream.tsxcomponent to extract individual chat messages into aMemoizedMessageItemwrapped withReact.memo(). Included a custom props comparison function to skip re-renders ifid,content, andisHotremain unchanged.🎯 Why: In a streaming or chat interface where messages are appended frequently, a naive
.map()implementation without memoization forces the entire list (O(N)) to re-render on every state update. This results in an O(N^2) performance bottleneck, causing significant UI lag as the history grows.📊 Impact: Reduces list rendering time from O(N) to O(1) per chunk/message update. It also correctly prevents unintended side-effects (e.g., all previous messages having their timestamps mistakenly updated to the current time on every keystroke in the input).
🔬 Measurement: Verified locally that
pnpm buildcompletes successfully. Playwright frontend tests confirm visual fidelity and interactivity remain identical without regression.PR created automatically by Jules for task 758802282615659751 started by @teerthsharma