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Lodash isEqual vs JSON stringify v2.5
(version: 0)
Comparing performance of:
Lodash cloneDeep vs Json clone vs Lodash cloneDeep 2
Created:
one year ago
by:
Guest
Jump to the latest result
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 = [ [ "where", [ "id", "=", "" ] ], [ "where", [ "id", "=", "" ] ], [ "where", [ [ "where", [ "id", "=", "qwe" ] ], [ "where", [ "contact", "=", "qwe" ] ], [ "where", [ "id", "not like", "" ] ] ] ], [ "where", [ "id", "=", "" ] ], [ "where", [ "id", "=", "" ] ], [ "where", [ [ "where", [ "id", "=", "" ] ] ] ] ]; var myCopy = null;
Tests:
Lodash cloneDeep
_.isEqual(MyObject, MyObject);
Json clone
JSON.stringify(MyObject) === JSON.stringify(MyObject);
Lodash cloneDeep 2
_.eq(MyObject, 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
Lodash cloneDeep 2
Fastest:
N/A
Slowest:
N/A
Latest run results:
Run details:
(Test run date:
3 months ago
)
User agent:
Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/143.0.0.0 Safari/537.36
Browser/OS:
Chrome 143 on Windows
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Embed Benchmark Result
Test name
Executions per second
Lodash cloneDeep
78374184.0 Ops/sec
Json clone
461941.8 Ops/sec
Lodash cloneDeep 2
69560296.0 Ops/sec
Autogenerated LLM Summary
(model
llama3.2:3b
, generated one year ago):
Let's break down the provided benchmark definition and explain what's being tested, compared, and considered. **Benchmark Definition:** The benchmark is defined in three test cases: 1. **Lodash `isEqual`**: This test compares the output of Lodash's `isEqual` function with the original input using JSON stringification. 2. **JSON Stringification Clone**: This test checks if the result of JSON stringifying an object is equal to a new, independent copy of the same object (i.e., not just a reference). 3. **Lodash `eq`**: This test is similar to Lodash's `isEqual`, but uses the `eq` function instead. **What's being tested:** These tests aim to measure the performance and behavior of: * Lodash's `cloneDeep` function (not explicitly mentioned in the benchmark, but implied by the context) * JSON stringification * Equality checks using Lodash's `isEqual` and `eq` functions **Options compared:** The benchmark compares three options: 1. **Lodash `cloneDeep`**: This function creates a deep copy of an object. 2. **JSON Stringification Clone**: This approach uses JSON stringification to create a new, independent copy of the original object. 3. **Lodash `eq`**: This equality check function is used for comparison. **Pros and Cons:** Here's a brief summary: * **Lodash `cloneDeep`**: + Pros: Creates an exact copy of the original object, suitable for deep cloning. + Cons: May not be as efficient as other methods, especially for large objects. * **JSON Stringification Clone**: + Pros: Lightweight and fast, but may not preserve all properties or relationships in the original object. + Cons: Not suitable for deep cloning or objects with complex relationships. * **Lodash `eq`**: + Pros: Fast and efficient equality check, suitable for shallow comparisons. + Cons: May not work correctly for deep cloning or object comparisons. **Library and purpose:** The `lodash` library is a popular utility library for JavaScript that provides various functions, including `cloneDeep`, `isEqual`, and `eq`. **Special JS features or syntax:** This benchmark does not explicitly mention any special JavaScript features or syntax. However, it does rely on the behavior of the Lodash library and the JSON stringification method. **Other alternatives:** If you were to implement a similar benchmark, you could consider other approaches for creating deep clones or equality checks, such as: * Using `Object.assign()` with a deep copy object * Implementing a custom deep cloning function using recursion or iteration * Utilizing libraries like `lodash-es` (which provides a more modern implementation of `cloneDeep`) or `immer` Keep in mind that the choice of approach depends on the specific use case and performance requirements.
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