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lodash clone vs array spread
(version: 0)
Comparing performance of:
lodash clone vs array spread
Created:
7 years ago
by:
Guest
Go to the latest result
HTML Preparation code:
<script src='https://cdnjs.cloudflare.com/ajax/libs/lodash.js/4.17.5/lodash.min.js'></script>
Tests:
lodash clone
var a = ['1']; var b = _.clone(a);
array spread
var a = ['1']; var b = [...a];
Rendered benchmark preparation results:
Suite status:
<idle, ready to run>
Run tests (2)
Previous results
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Test case name
Result
lodash clone
array spread
Fastest:
N/A
Slowest:
N/A
Latest run results:
Run details:
(Test run date:
2 years ago
)
User agent:
Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/126.0.0.0 Safari/537.36
Browser/OS:
Chrome 126 on Windows
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Embed Benchmark Result
<iframe src="https://measurethat.net/Embed?id=535897" width="100%" height="500px"></iframe>
array spread
51.8M/s
lodash clone
7.6M/s
View exact numbers
Test name
Executions per second
✓
array spread
51,801,192 Ops/sec
lodash clone
7,603,230 Ops/sec
Autogenerated LLM Summary
(model
llama3.2:3b
, generated one year ago):
Let's break down the provided JSON and explain what is tested, compared options, pros and cons of those approaches, library usage, special JS features or syntax, and other considerations. **Benchmark Definition** The benchmark measures the performance difference between two methods: `_.clone()` from the Lodash library and array spread (`[...]`). **Options Compared** * `_.clone()`: a method from the Lodash library that creates a shallow clone of an object. * Array spread (`[...]`): a syntax feature in JavaScript that allows you to create a new array by spreading elements from an existing array. **Pros and Cons** * **_.clone()**: + Pros: provides a consistent, predictable way to create clones, can handle complex objects, and is often faster for large datasets. + Cons: adds overhead due to the use of the Lodash library, may not be as efficient for very small arrays or simple data structures. * Array spread (`[...]`): + Pros: lightweight, fast, and easy to implement, suitable for small arrays or simple data structures. + Cons: can lead to unexpected behavior if not used carefully (e.g., modifying the original array), may not be as efficient for large datasets. **Library Usage** The Lodash library is used in this benchmark. Specifically, it provides the `clone()` function, which is used to create clones of arrays and other data structures. **Special JS Feature or Syntax** None mentioned in this benchmark, but worth noting that some modern JavaScript features, like ES6 classes, destructuring, or async/await, might require consideration when choosing between these methods. **Other Considerations** When selecting between `_.clone()` and array spread, consider the size of your data, the complexity of your objects, and any additional processing you need to perform on the clone. For small datasets or simple data structures, array spread might be sufficient; for larger datasets or more complex data structures, `_.clone()` might provide better performance. **Alternatives** Other alternatives to these methods include: * Using a dedicated library like Immer or Ramda, which offer optimized cloning and spreading functions. * Implementing your own custom clone function using the `Array.prototype.slice()` method or `Object.assign()`. * Using other spread syntaxes, such as `Array.from()` or `Array.reduce()`, although these might not provide the same level of performance as array spread. Keep in mind that the choice ultimately depends on your specific use case and performance requirements.
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