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Replaced the O(N*M) nested loop (where N is the number of collections and M is the number of products) with an O(N+M) dictionary lookup in the `Navbar` component's `fetchCollectionsAndProducts` function. Co-authored-by: AJFrio <20246916+AJFrio@users.noreply.github.com>
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| if (!acc[product.collectionId]) { | ||
| acc[product.collectionId] = [] | ||
| } | ||
| acc[product.collectionId].push(product) |
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Use a prototype-safe key map for collection grouping
The new grouping logic stores products in a plain object keyed by product.collectionId, but IDs come from API data and can collide with inherited keys like constructor or toString. In those cases if (!acc[id]) incorrectly treats the inherited function as an existing bucket and acc[id].push(...) throws, which breaks navbar rendering for affected stores; the previous filter-based version did not have this failure mode. Use Object.create(null) or a Map (or at least Object.hasOwn) for bucket lookups.
Useful? React with 👍 / 👎.
💡 What:
Replaced an O(N*M) nested filtering loop with an O(N+M) dictionary lookup using
reduce. Specifically, grouped all products bycollectionIdinto a dictionary first, and then populated the products array insidecollectionsData.map()by looking up the dictionary.🎯 Why:
The previous implementation filtered the entire products array for each collection being mapped over. As the number of products and collections grows, this causes significant UI blocking and performance degradation on the client side when loading the storefront navigation.
📊 Measured Improvement:
Created a baseline benchmark using
benchmarks/navbar-collections.jswith 100 collections and 5000 products:PR created automatically by Jules for task 1352758579920581065 started by @AJFrio