⚡ Bolt: [performance improvement] Memoize LogEntryItem in LogsView#154
⚡ Bolt: [performance improvement] Memoize LogEntryItem in LogsView#154Dexploarer wants to merge 1 commit intomainfrom
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…ance This commit addresses a performance bottleneck in the `LogsView` component. Before this change, typing in the search input triggered a re-render of the entire `LogsView` and all of its rendered log entries. When there are many logs, this resulted in significant UI lag on every keystroke. By extracting the log entry row into a new `LogEntryItem` component and wrapping it in `React.memo`, we ensure that only the search query updates while the individual log rows bypass unnecessary re-renders.
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Summary of ChangesHello, I'm Gemini Code Assist1! I'm currently reviewing this pull request and will post my feedback shortly. In the meantime, here's a summary to help you and other reviewers quickly get up to speed! This pull request focuses on enhancing the performance of the LogsView component by implementing a memoization strategy. By isolating and memoizing the rendering of individual log entries, the application avoids redundant re-renders of the entire log list when unrelated state, such as the search query, is updated. This optimization directly improves the user experience, particularly when interacting with large datasets of logs. Highlights
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| </div> | ||
| ) : ( | ||
| filteredLogs.map((entry: LogEntry) => ( | ||
| <div | ||
| <LogEntryItem | ||
| key={`${entry.timestamp}-${entry.source}-${entry.level}-${entry.message}`} | ||
| className="font-mono text-xs px-2 py-1 border-b border-border flex gap-2 items-baseline" | ||
| data-testid="log-entry" | ||
| > | ||
| {/* Timestamp */} | ||
| <span className="text-muted whitespace-nowrap"> | ||
| {formatTime(entry.timestamp, { fallback: "—" })} | ||
| </span> | ||
|
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||
| {/* Level */} | ||
| <span | ||
| className={`font-semibold w-[44px] uppercase text-[11px] ${ | ||
| entry.level === "error" | ||
| ? "text-danger" | ||
| : entry.level === "warn" | ||
| ? "text-warn" | ||
| : "text-muted" | ||
| }`} | ||
| > | ||
| {entry.level} | ||
| </span> | ||
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| {/* Source */} | ||
| <span className="text-muted w-16 overflow-hidden text-ellipsis whitespace-nowrap text-[11px]"> | ||
| [{entry.source}] | ||
| </span> | ||
|
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||
| {/* Tag badges */} | ||
| <span className="inline-flex gap-0.5 shrink-0"> | ||
| {(entry.tags ?? []).map((t: string) => { | ||
| const c = TAG_COLORS[t]; | ||
| return ( | ||
| <span | ||
| key={t} | ||
| className="inline-block text-[10px] px-1.5 py-px rounded-lg mr-0.5" | ||
| style={{ | ||
| background: c ? c.bg : "var(--bg-muted)", | ||
| color: c ? c.fg : "var(--muted)", | ||
| fontFamily: "var(--font-body, sans-serif)", | ||
| }} | ||
| > | ||
| {t} | ||
| </span> | ||
| ); | ||
| })} | ||
| </span> | ||
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| {/* Message */} | ||
| <span className="flex-1 break-all">{entry.message}</span> | ||
| </div> | ||
| entry={entry} | ||
| /> | ||
| )) | ||
| )} | ||
| </div> |
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Rendering all log entries at once without virtualization can lead to significant performance issues when displaying a large number of logs. Consider integrating a virtualization library such as react-window or react-virtualized to render only the visible subset of log entries, which will improve UI responsiveness and reduce memory usage.
Recommended solution:
import { FixedSizeList as List } from 'react-window';
// ...
<List
height={desiredHeight}
itemCount={filteredLogs.length}
itemSize={rowHeight}
>
{({ index, style }) => (
<div style={style}>
<LogEntryItem entry={filteredLogs[index]} />
</div>
)}
</List>Replace the direct .map() rendering with a virtualized list as shown above.
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Code Review
This pull request effectively improves performance in the LogsView by extracting the log entry rendering into a memoized LogEntryItem component. This prevents unnecessary re-renders of the entire log list when filtering, which is a great optimization. I have a couple of suggestions to further improve the new component's maintainability and to ensure the key generation for list items is as efficient as possible.
| }: { | ||
| entry: LogEntry; | ||
| }) { |
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For better readability and to follow common React patterns, it's best to define props using a separate type or interface instead of an inline object type. This makes the component's signature easier to read and reuse.
For example:
interface LogEntryItemProps {
entry: LogEntry;
}
const LogEntryItem = React.memo(function LogEntryItem({ entry }: LogEntryItemProps) {
// ...
});| filteredLogs.map((entry: LogEntry) => ( | ||
| <div | ||
| <LogEntryItem | ||
| key={`${entry.timestamp}-${entry.source}-${entry.level}-${entry.message}`} |
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Using the full entry.message for the key prop can be inefficient, especially for long log messages. This could lead to performance issues during filtering, as new key strings are generated for every item on every keystroke. To optimize this, consider truncating the message part of the key. This maintains a high probability of uniqueness while improving performance.
Note that this is a trade-off: if two log messages are identical for the first 256 characters but differ later, React might not be able to distinguish them correctly if they have the same timestamp, source, and level. However, for logging UIs, this is often an acceptable risk for the performance benefit.
| key={`${entry.timestamp}-${entry.source}-${entry.level}-${entry.message}`} | |
| key={`${entry.timestamp}-${entry.source}-${entry.level}-${entry.message.slice(0, 256)}`} |
💡 What: Extracted log entry rendering into a new memoized
LogEntryItemcomponent inLogsView.tsx.🎯 Why: Typing in the search filter previously caused the entire list of log entries to re-render, leading to noticeable UI lag when dealing with many logs.
📊 Impact: Reduces re-renders significantly; individual
LogEntryItemrows now skip re-rendering when the parentLogsViewstate (like thesearchQuery) changes, making search input highly responsive.🔬 Measurement: Can be verified by measuring React rendering profiles before and after this change when typing into the search filter on the
/logspage with hundreds of logs.PR created automatically by Jules for task 2005231137972865088 started by @Dexploarer