Run results for: Object.fromEntries vs new Map vs Reduce

Run details:

User agent: Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/126.0.0.0 Safari/537.36

Browser: Chrome 126

Operating system: Linux

Device Platform: Desktop

Date tested: 2 years ago

Benchmark engine: Benchmark.js

Test name	Executions per second
✓ Reduce (reusing object)	8,147 Ops/sec
Object.fromEntries with Array.map	1,825 Ops/sec
new Map with Array.map	1,244 Ops/sec
Reduce (creating temporary objects)	57 Ops/sec

Tests:

Object.fromEntries with Array.map
// Create the dictionary // Using `Object.fromEntries` and `Array.map` const dictionary = Object.fromEntries( data.map((item) => [ // Key item.id, // Item item, ]) ); // Utilize it, to test the performance of the dictionary itself as well. ids.map((id) => dictionary[id]);
new Map with Array.map
// Create the dictionary // Using `new Map` and `Array.map` const dictionary = new Map( data.map((item) => [ // Key item.id, // Item item, ]) ); // Utilize it, to test the performance of the dictionary itself as well. ids.map((id) => dictionary.get(id));
Reduce (reusing object)
// Create the dictionary // Using `Array.reduce` // And reusing the object const dictionary = data.reduce((obj, item) => { obj[item.id] = item; return obj; }, {}); // Utilize it, to test the performance of the dictionary itself as well. ids.map((id) => dictionary[id]);
Reduce (creating temporary objects)
// Create the dictionary // Using `Array.reduce` // And NOT reusing the object const dictionary = data.reduce((obj, item) => { return { ...obj, [item.id]: item }; }, {}); // Utilize it, to test the performance of the dictionary itself as well. ids.map((id) => dictionary[id]);