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Map vs forEach
(version: 0)
Comparing performance of:
Map vs forEach
Created:
9 years ago
by:
Guest
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Tests:
Map
const createLists = (arr = []) => [ ...arr.reduce((map, val) => { if (!map.has(val)) { map.set(val, [val]); } else { map.get(val).push(val); } return map; }, new Map()).values() ]; console.log(createLists([1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3, 3, 4, 4, 4, 5, 5, 5, 5, 5, 5, 6, 6, 6, 6, 6, 6, 7, 7, 7, 7, 7, 7, 8, 8, 8, 8, 8, 9, 9, 9, 9, 9, 9, 0, 0, 0, 0, 0]));
forEach
function createLists(arr = []) { let authors = []; let list = []; arr.forEach(item => { let authorIndex = authors.includes(item) ? authors.indexOf(item) : (authors.push(item) - 1); list[authorIndex] = list[authorIndex] || []; list[authorIndex].push(item); }); return list; } console.log(createLists([1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3, 3, 4, 4, 4, 5, 5, 5, 5, 5, 5, 6, 6, 6, 6, 6, 6, 7, 7, 7, 7, 7, 7, 8, 8, 8, 8, 8, 9, 9, 9, 9, 9, 9, 0, 0, 0, 0, 0]));
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Suite status:
<idle, ready to run>
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Test case name
Result
Map
forEach
Fastest:
N/A
Slowest:
N/A
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Autogenerated LLM Summary
(model
llama3.2:3b
, generated one year ago):
**Benchmark Explanation** The provided JSON represents two JavaScript microbenchmarks: `Map vs forEach`. The benchmark compares the performance of using a `Map` data structure versus a traditional `forEach` loop to manipulate and transform an array. **Options Compared** Two options are compared: 1. **Using a `Map` data structure**: This approach uses the `Map` object to store unique values as keys, with their corresponding values stored in an array. 2. **Using a traditional `forEach` loop**: This approach iterates over the array using a `forEach` loop, pushing each value into its corresponding index in another array. **Pros and Cons of Each Approach** * **Map Approach** + Pros: - More efficient for large datasets, as it avoids duplicate values. - Can be more concise and expressive code. + Cons: - May not be as suitable for small datasets or simple transformations. - Requires understanding of the `Map` data structure and its methods (e.g., `has`, `get`, `set`). * **forEach Loop Approach** + Pros: - More familiar to many developers, who may have experience with traditional loops. - Can be more straightforward for small datasets or simple transformations. + Cons: - May be slower and less efficient than the Map approach for large datasets. **Library Used** In this benchmark, no specific library is used. The `Map` data structure is a built-in JavaScript object. **Special JS Feature/Syntax** There are no special JavaScript features or syntaxes mentioned in the provided code snippets. **Other Alternatives** Alternative approaches to manipulating and transforming arrays could include: * Using `reduce()` method * Utilizing array methods like `filter()`, `map()`, or `slice()` * Employing async/await or promises for more complex transformations These alternatives might have different performance characteristics, code readability, and maintainability compared to the Map vs forEach approach.
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