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Lodash cloneDeep vs JSON Clone vs Ramda Clone test
(version: 0)
Comparing performance of:
Lodash cloneDeep vs Json clone vs Ramda clone
Created:
6 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 src="https://cdnjs.cloudflare.com/ajax/libs/ramda/0.25.0/ramda.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);
Json clone
myCopy = JSON.parse(JSON.stringify(MyObject));
Ramda clone
myCopy = R.clone(MyObject);
Rendered benchmark preparation results:
Suite status:
<idle, ready to run>
Run tests (3)
Previous results
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Test case name
Result
Lodash cloneDeep
Json clone
Ramda clone
Fastest:
N/A
Slowest:
N/A
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Autogenerated LLM Summary
(model
llama3.2:3b
, generated one year ago):
I'll break down the provided JSON and explain what's being tested, compared, and discussed. **Benchmark Overview** The test compares three different methods for creating a deep copy of an object: `Lodash.cloneDeep`, `JSON.parse(JSON.stringify())`, and `Ramda.clone()`. The benchmark is designed to measure the performance difference between these three approaches on a specific input object, `MyObject`. **Options Compared** 1. **`Lodash.cloneDeep()`**: A function from the Lodash library that creates a deep copy of an object. 2. **`JSON.parse(JSON.stringify())`**: A built-in JavaScript method that converts a JavaScript value to a JSON string and then parses it back into a JavaScript object, effectively creating a deep copy of the original object. 3. **`Ramda.clone()`**: A function from the Ramda library that creates a deep copy of an object. **Pros and Cons** 1. **`Lodash.cloneDeep()`**: * Pros: Efficient, fast, and widely supported. * Cons: Requires Lodash library to be included in the test environment. 2. **`JSON.parse(JSON.stringify())`**: * Pros: Built-in JavaScript method, easy to implement, and platform-independent. * Cons: Can produce incorrect results for certain data types (e.g., functions, regex patterns) and may have performance issues for large objects. 3. **`Ramda.clone()`**: * Pros: Fast, efficient, and provides additional functionality beyond mere copying (e.g., caching, memoization). * Cons: Requires Ramda library to be included in the test environment. **Library and Purpose** 1. **Lodash**: A JavaScript utility library that provides a wide range of functions for tasks such as array manipulation, object creation, and functional programming. 2. **Ramda**: A pure functional programming library for JavaScript that provides a set of higher-order functions for data processing and transformation. **Special JS Feature or Syntax** None mentioned in the provided JSON. However, it's worth noting that `JSON.parse(JSON.stringify())` can be affected by the presence of certain types of objects, such as functions or regex patterns, which may not be correctly copied using this method. **Alternative Approaches** Other methods for creating deep copies of objects include: 1. **Using `Object.assign()`**: While not always guaranteed to produce a deep copy, `Object.assign()` can be used in combination with other methods (e.g., `JSON.parse(JSON.stringify())`) to achieve a deep copy. 2. **Using a custom implementation**: A simple and efficient way to create a deep copy of an object is by using a recursive function that iterates over the object's properties and creates new copies for each one. These alternative approaches may not be as widely supported or optimized as the methods tested in this benchmark, but they can still provide a good starting point for creating deep copies of objects in certain situations.
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