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map vs reduce cart items
(version: 0)
Comparing performance of:
reduce vs map
Created:
5 years ago
by:
Guest
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Script Preparation code:
window.items = [{ "hash": "a86d085367edc47d1cf4c79ffd1335d5", "id": "1442367", "type": "variant", "name": "Longsleeve Rashguard Master Of Boxing", "quantity": 2, "rawPrice": { "nett": 113.01, "gross": 139, "vat": 23, "currency": "PLN" }, "price": { "nett": 113.01, "gross": 139, "vat": 23, "currency": "PLN" }, "discount": { "nett": 0, "gross": 0, "vat": 0, "currency": "PLN" }, "rawSum": { "nett": 226.02, "gross": 278, "vat": 23, "currency": "PLN" }, "sum": { "nett": 226.02, "gross": 278, "vat": 23, "currency": "PLN" }, "discountSum": { "nett": 0, "gross": 0, "vat": 0, "currency": "PLN" }, "pointPrice": 0, "sumPointPrice": 0, "messages": [ ], "discounts": [ ], "active": true, "weight": 0, "currency": "PLN", "productId": 10327, "picture": "https:\/\/pitbull.pl\/{imageSafeUri}\/longsleeve-rashguard-all-black-camo-small-logo_7", "warehouseSymbol": "969037900202", "priceCalculatedFromNett": false, "availableQuantity": 0, "groupName": "Rozmiary uniwersalne", "optionName": "M", "containerData": null, "individualUnitInterval": 1, "unitType": "szt", "unit": { "name": "szt", "interval": 1 }, "niceUrl": "longsleeve-rashguard-master-of-boxing" }, { "hash": "a0213e48763e56e603ccd48fc8a92a23", "id": "1442370", "type": "variant", "name": "Longsleeve Rashguard Master Of Boxing", "quantity": 1, "rawPrice": { "nett": 113.01, "gross": 139, "vat": 23, "currency": "PLN" }, "price": { "nett": 113.01, "gross": 139, "vat": 23, "currency": "PLN" }, "discount": { "nett": 0, "gross": 0, "vat": 0, "currency": "PLN" }, "rawSum": { "nett": 113.01, "gross": 139, "vat": 23, "currency": "PLN" }, "sum": { "nett": 113.01, "gross": 139, "vat": 23, "currency": "PLN" }, "discountSum": { "nett": 0, "gross": 0, "vat": 0, "currency": "PLN" }, "pointPrice": 0, "sumPointPrice": 0, "messages": [ ], "discounts": [ ], "active": true, "weight": 0, "currency": "PLN", "productId": 10327, "picture": "https:\/\/pitbull.pl\/{imageSafeUri}\/longsleeve-rashguard-all-black-camo-small-logo_7", "warehouseSymbol": "969037900205", "priceCalculatedFromNett": false, "availableQuantity": 0, "groupName": "Rozmiary uniwersalne", "optionName": "XXL", "containerData": null, "individualUnitInterval": 1, "unitType": "szt", "unit": { "name": "szt", "interval": 1 }, "niceUrl": "longsleeve-rashguard-master-of-boxing" }, { "hash": "1f5711851a1e4de3d018ec11c316db0f", "id": "1327295", "type": "variant", "name": "Longsleeve Small Logo", "quantity": 1, "rawPrice": { "nett": 56.1, "gross": 69, "vat": 23, "currency": "PLN" }, "price": { "nett": 56.1, "gross": 69, "vat": 23, "currency": "PLN" }, "discount": { "nett": 0, "gross": 0, "vat": 0, "currency": "PLN" }, "rawSum": { "nett": 56.1, "gross": 69, "vat": 23, "currency": "PLN" }, "sum": { "nett": 56.1, "gross": 69, "vat": 23, "currency": "PLN" }, "discountSum": { "nett": 0, "gross": 0, "vat": 0, "currency": "PLN" }, "pointPrice": 0, "sumPointPrice": 0, "messages": [ ], "discounts": [ ], "active": true, "weight": 0, "currency": "PLN", "productId": 9598, "picture": "https:\/\/pitbull.pl\/{imageSafeUri}\/longsleeve-small-logo", "warehouseSymbol": "239001170004", "priceCalculatedFromNett": false, "availableQuantity": 0, "groupName": "Rozmiary uniwersalne", "optionName": "XL", "containerData": null, "individualUnitInterval": 1, "unitType": "szt", "unit": { "name": "szt", "interval": 1 }, "niceUrl": "longsleeve_small_logo_4" } ];
Tests:
reduce
const { prices, ids, names } = items.reduce((prev, { price, id, name }) => { return { prices: [...prev.prices, price.gross], ids: [...prev.ids, id], names: [...prev.names, name], } }, { prices: [], ids: [], names: [], })
map
const prices = items.map(({ price }) => price.gross) const ids = items.map(({ id }) => id) const names = items.map(({ name }) => name)
Rendered benchmark preparation results:
Suite status:
<idle, ready to run>
Run tests (2)
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Test case name
Result
reduce
map
Fastest:
N/A
Slowest:
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Autogenerated LLM Summary
(model
llama3.2:3b
, generated one year ago):
It seems like you're describing a set of JSON data and benchmarking results, but I'll do my best to provide an answer based on the provided snippet. The two main questions or tasks mentioned are: 1. Preparing HTML code from the given JSON string using some code. 2. Comparing different ways to process an array of items (using `reduce` vs. `map`) with benchmarking results. To address these, I'll need more information about the specific code and requirements for the HTML preparation task. However, I can provide a possible answer based on the provided JSON string: ```json { "quantity": 1, "rawPrice": { "nett": 56.1, "gross": 69, "vat": 23, "currency": "PLN" }, "price": { "nett": 56.1, "gross": 69, "vat": 23, "currency": "PLN" }, "discount": { "nett": 0, "gross": 0, "vat": 0, "currency": "PLN" }, "rawSum": { "nett": 56.1, "gross": 69, "vat": 23, "currency": "PLN" }, "sum": { "nett": 56.1, "gross": 69, "vat": 23, "currency": "PLN" }, "discountSum": { "nett": 0, "gross": 0, "vat": 0, "currency": "PLN" }, "pointPrice": 0, "sumPointPrice": 0, "messages": [], "discounts": [], "active": true, "weight": 0, "currency": "PLN", "productId": 9598, "picture": "https://pitbull.pl/{imageSafeUri}/longsleeve-small-logo", "warehouseSymbol": "239001170004", "priceCalculatedFromNett": false, "availableQuantity": 0, "groupName": "Rozmiary uniwersalne", "optionName": "XL", "containerData": null, "individualUnitInterval": 1, "unitType": "szt", "unit": { "name": "szt", "interval": 1 }, "niceUrl": "longsleeve_small_logo_4" } ``` As for the benchmarking results, I'll assume that the two benchmarking definitions are: **reduce** ```javascript const { prices, ids, names } = items.reduce((prev, { price, id, name }) => { return { prices: [...prev.prices, price.gross], ids: [...prev.ids, id], names: [...prev.names, name] } }, { prices: [], ids: [], names: [] }) ``` **map** ```javascript const prices = items.map(({ price }) => price.gross) const ids = items.map(({ id }) => id) const names = items.map(({ name }) => name) ``` Both `reduce` and `map` have different time complexities. The `reduce` approach has a time complexity of O(n), whereas the `map` approach has a time complexity of O(n) as well, but it may be slower due to the overhead of function calls. The benchmarking results show that both approaches have similar execution rates (2125584.5 and 1888209.625 executions per second). However, without more information about the specific requirements or constraints of the project, it's difficult to determine which approach is better suited for your use case. For the HTML preparation code, I would need more information about the expected output format and any specific requirements or constraints you have.
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