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Lodash cloneDeep vs Native Spread Test 1
(version: 0)
Comparing performance of:
Lodash cloneDeep vs Spread
Created:
5 years ago
by:
Guest
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HTML Preparation code:
<script src='https://cdnjs.cloudflare.com/ajax/libs/lodash.js/4.17.5/lodash.min.js'></script>
Script Preparation code:
var MyObject = { description: 'Creates a deep copy of source, which should be an object or an array.', myNumber: 123456789, myBoolean: true, jayson: { stringify: 'JSON.stringify() method converts a JavaScript value to a JSON string....', parse: 'JSON.parse() method parses a JSON string...' } }; var myCopy = null;
Tests:
Lodash cloneDeep
myCopy = _.cloneDeep(MyObject);
Spread
myCopy = { ...MyObject };
Rendered benchmark preparation results:
Suite status:
<idle, ready to run>
Run tests (2)
Previous results
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Test case name
Result
Lodash cloneDeep
Spread
Fastest:
N/A
Slowest:
N/A
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Autogenerated LLM Summary
(model
llama3.2:3b
, generated one year ago):
Let's dive into the world of JavaScript microbenchmarks. **Benchmark Definition and Preparation Code** The provided benchmark definition JSON represents a comparison between two approaches: using the `cloneDeep` function from Lodash (a popular utility library for functional programming in JavaScript) and using the spread operator (`{ ... }`) to create a deep copy of an object. The preparation code defines an object `MyObject` with several properties, including nested objects and arrays. The variable `myCopy` is declared but not initialized; it will be used as the source object for the clone or spread operation. **Options Compared** Two options are compared: 1. **Lodash CloneDeep**: This approach uses the `cloneDeep` function from Lodash to create a deep copy of the `MyObject`. The purpose of this function is to recursively duplicate an entire object, including nested objects and arrays. 2. **Spread Operator (Native)**: This approach uses the spread operator (`{ ... }`) to create a shallow or deep copy of the `MyObject`, depending on how you interpret it. However, since JavaScript uses a "call-by-object" semantics, when spreading an object, it actually creates a new object with reference types preserved. **Pros and Cons of Each Approach** **Lodash CloneDeep** Pros: * Deep copying is guaranteed to work correctly for all types of objects. * Recursively copies nested objects and arrays. Cons: * Requires Lodash library, which may not be present in every environment. * Can be slower than the native spread operator if Lodash's internal logic isn't optimized. **Spread Operator (Native)** Pros: * Faster and more lightweight compared to `cloneDeep`. * Does not require a separate library. Cons: * May not work correctly for all types of objects, especially those with complex inheritance hierarchies. * Preserves reference types in the copied object, which may lead to unexpected behavior if the original object is modified later. **Other Considerations** When using the spread operator, keep in mind that it creates a new object with reference types preserved. This means that if you use `Object.assign()` or other methods to modify the copied object, the changes will be reflected in both the original and copied objects. If you need deep copying, consider using libraries like Lodash's `cloneDeep` or alternatives like JSON clone or a dedicated deep copying library. **Library: Lodash** Lodash is a popular utility library for functional programming in JavaScript. It provides various functions for working with arrays, objects, and other data structures. In this benchmark, the `cloneDeep` function is used to create a deep copy of an object. **Special JS Feature or Syntax** None mentioned explicitly in the provided code. **Alternative Approaches** If you don't want to use Lodash's `cloneDeep`, consider using alternatives like: 1. **JSON.parse(JSON.stringify(obj))**: This method can be used to create a deep copy of an object, but it has some limitations and may not work correctly for all types of objects. 2. **Recursion with Object.assign()**: You can write a recursive function that uses `Object.assign()` to create a new object with the desired properties. 3. **Dedicated deep copying libraries**: There are several dedicated libraries available, such as `deep-copy` or `jsonclone`, that provide more robust and efficient deep copying functionality. Keep in mind that these alternatives may have different performance characteristics and may not be optimized for specific use cases.
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