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Run results for:
lodash groupBy vs Array.reduce vs simple for loop
Comparing performance of: Lodash vs Native reduce vs native for loop for grouping
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Embed Benchmark Result
<iframe src="https://measurethat.net/Embed?id=519991" width="100%" height="500px"></iframe>
Run details:
User agent:
Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/123.0.0.0 Safari/537.36
Browser:
Chrome 123
Operating system:
Linux
Device Platform:
Desktop
Date tested:
2 years ago
Test name
Executions per second
lodash groupby
134.4 Ops/sec
native reduce
181.9 Ops/sec
group by simple for loop
65.4 Ops/sec
HTML Preparation code:
<script src='https://cdnjs.cloudflare.com/ajax/libs/lodash.js/4.17.5/lodash.min.js'></script>
Script Preparation code:
var max2 = 100000; var data = []; for (var i = 0; i <= max2; i++) { data.push({ id: i }); }
Tests:
lodash groupby
_.groupBy(data, ({ id }) => id)
native reduce
const data_reduced = data.reduce((acc, item) => { if (item.id in acc) { acc[item.id].push(item) } else { acc[item.id] = [item] } return acc; }, {})
group by simple for loop
const data_group_by_for_loop = {} for (let i = 0; i < data.length; i++) { const item = data[i]; if (item.id in data_group_by_for_loop) { data_group_by_for_loop[item.id].push(item) } else { data_group_by_for_loop[item.id] = [item] } }