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Lodash cloneDeep vs JSON Clone fork
(version: 0)
Comparing performance of:
Lodash cloneDeep vs Json clone
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, arr: [1, 2, 3, 4, 5], 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));
Rendered benchmark preparation results:
Suite status:
<idle, ready to run>
Run tests (2)
Previous results
Fork
Test case name
Result
Lodash cloneDeep
Json clone
Fastest:
N/A
Slowest:
N/A
Latest run results:
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Autogenerated LLM Summary
(model
llama3.2:3b
, generated one year ago):
Let's break down the provided benchmark and explain what's being tested, compared, and the pros/cons of each approach. **Benchmark Overview** The benchmark compares two methods for creating a deep copy of an object: Lodash's `cloneDeep` function and the built-in JavaScript method `JSON.parse(JSON.stringify())`. The test case creates a sample object `MyObject` with nested properties, including arrays and objects. The goal is to measure which approach is faster. **Options Compared** There are two options being compared: 1. **Lodash's cloneDeep function**: This is a utility function from the Lodash library that recursively clones an object, preserving its structure and values. 2. **JSON.parse(JSON.stringify()) method**: This built-in JavaScript method parses a JSON string and reconstructs an object with the same properties as the original object. **Pros and Cons of Each Approach** **Lodash's cloneDeep function:** Pros: * Preserves the entire object graph, including arrays and objects. * Can handle complex data structures, such as cyclic references. * Typically faster than `JSON.parse(JSON.stringify())` due to its optimized implementation. Cons: * Requires an external library (Lodash) to be included in the test environment. * May have a higher overhead due to the complexity of the cloning process. **JSON.parse(JSON.stringify()) method:** Pros: * Built-in, so no additional libraries are required. * Simple and efficient implementation. * Fast and lightweight execution. Cons: * Only works for simple objects with a small number of properties. If the object graph is too complex, it may fail or produce incorrect results due to issues like cyclic references. * Does not preserve the original object's structure or values; instead, it creates a new object with the same properties. **Other Considerations** The test case assumes that both methods will work correctly for simple objects with nested properties. However, if the input data is complex or contains cyclic references, `JSON.parse(JSON.stringify())` may not produce the expected results. In such cases, Lodash's `cloneDeep` function would be a better choice. **Library and Syntax Used** In this benchmark, the Lodash library is used for its `cloneDeep` function. No special JavaScript features or syntax are mentioned in the test case. **Alternatives** If you wanted to compare other methods for creating deep copies of objects, some alternatives could include: * **Array.prototype.slice()**: Creates a shallow copy of an array by returning a new array with references to the same elements as the original array. * **Array.prototype.reduce()**: Can be used to create a deep copy of an object by recursively traversing its properties and cloning each value. * **Recursion**: A function can be written to recursively traverse an object's properties and clone each value, creating a new object with the same structure. However, these alternatives may not be as efficient or robust as Lodash's `cloneDeep` function, especially for complex data structures.
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