⚡ Bolt: [performance improvement] Parallelize FileReader conversions#415
⚡ Bolt: [performance improvement] Parallelize FileReader conversions#415aafre wants to merge 1 commit into
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Co-authored-by: aafre <8656674+aafre@users.noreply.github.com>
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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 introduces a crucial performance enhancement to the icon export functionality. By transitioning from a sequential processing loop to a parallel execution model using Highlights
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Code Review
This pull request optimizes the useIconRegistry hook by parallelizing FileReader conversions for icons, transitioning from a sequential for...of loop to concurrent processing using Promise.all and Array.prototype.map. This performance improvement is also documented in a new .Jules/bolt.md file. A review comment highlights that the current parallelized implementation mutates an external exportData object within the map callback, which is an anti-pattern that introduces side effects and could lead to race conditions. A more functional approach is suggested where the map operation returns the necessary data, and the exportData object is then constructed from these returned values.
| const exportData: IconExportData = {}; | ||
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| for (const filename of targetFilenames) { | ||
| const entry = registry[filename]; | ||
| if (entry) { | ||
| try { | ||
| const base64Data = await fileToBase64(entry.file); | ||
| exportData[filename] = { | ||
| data: base64Data, | ||
| type: entry.file.type, | ||
| size: entry.file.size, | ||
| uploadedAt: entry.uploadedAt.toISOString(), | ||
| }; | ||
| } catch (error) { | ||
| console.warn(`Failed to export icon ${filename}:`, error); | ||
| // ⚡ Bolt Performance Optimization: | ||
| // Parallelize independent I/O-bound tasks (FileReader conversions) using Promise.all | ||
| // instead of sequential await loops. This significantly reduces total conversion time for multiple icons. | ||
| await Promise.all( | ||
| targetFilenames.map(async (filename) => { | ||
| const entry = registry[filename]; | ||
| if (entry) { | ||
| try { | ||
| const base64Data = await fileToBase64(entry.file); | ||
| exportData[filename] = { | ||
| data: base64Data, | ||
| type: entry.file.type, | ||
| size: entry.file.size, | ||
| uploadedAt: entry.uploadedAt.toISOString(), | ||
| }; | ||
| } catch (error) { | ||
| console.warn(`Failed to export icon ${filename}:`, error); | ||
| } | ||
| } | ||
| } | ||
| } | ||
| }) | ||
| ); |
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This implementation mutates the exportData object from within concurrent map callbacks. This is an anti-pattern that introduces side effects into a map operation and can be prone to race conditions in more complex scenarios.
A cleaner, more functional approach is to have map return the data for each icon, and then build the final exportData object from the collected results. This avoids side effects and makes the code more predictable and maintainable.
const entries = await Promise.all(
targetFilenames.map(async (filename) => {
const entry = registry[filename];
if (entry) {
try {
const base64Data = await fileToBase64(entry.file);
return [filename, {
data: base64Data,
type: entry.file.type,
size: entry.file.size,
uploadedAt: entry.uploadedAt.toISOString(),
}];
} catch (error) {
console.warn(`Failed to export icon ${filename}:`, error);
}
}
return null;
})
);
const exportData: IconExportData = Object.fromEntries(entries.filter(entry => entry));References
- Avoid side effects within functional operations. Perform calculations that produce values needed before calling the operation to maintain its purity and predictability.
1 participant
💡 What: Refactored the sequential
awaitloop inuseIconRegistry.ts'sexportIconsForYAMLfunction to usePromise.allwith a concurrent.map().🎯 Why:
FileReaderoperations are I/O-bound. Processing them sequentially adds unnecessary delay, especially for users with numerous icons. This acts as a bottleneck when exporting registry data.📊 Impact: Expected to significantly reduce total conversion time for batches of icons by taking advantage of asynchronous I/O parallelization, resulting in faster export and storage operations.
🔬 Measurement: Verify by executing an export via
useIconRegistrywith multiple mock icons and measuring execution time or observing faster UI resolution when generating payload data for YAML or storage.PR created automatically by Jules for task 13902053794740086724 started by @aafre