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vanilla vs jquery - $.extend vs no jquery version
(version: 0)
Comparing performance of:
Vanilla JS vs JQuery vs json
Created:
2 years ago
by:
Guest
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HTML Preparation code:
<script src='https://cdnjs.cloudflare.com/ajax/libs/jquery/3.3.1/jquery.js'></script>
Script Preparation code:
var element = { l1prop: { l2prop: { l3prop: Array.from({length: 50}, (val, i) => i) }, l2prop2: { l3prop: Array.from({length: 50}, (val, i) => i) }, }, l1prop2: { l2prop: Array.from({length: 50}, (val, i) => i) }, a: 'fsdfs', b: 'efwesd', c: 'fefsdvs', d: 1, e: 2, f: 'gfdgfdsgd', g: null, h: undefined }
Tests:
Vanilla JS
function deepExtend(out, ...arguments_) { if (!out) { return {}; } for (const obj of arguments_) { if (!obj) { continue; } for (const [key, value] of Object.entries(obj)) { switch (Object.prototype.toString.call(value)) { case '[object Object]': out[key] = out[key] || {}; out[key] = deepExtend(out[key], value); break; case '[object Array]': out[key] = deepExtend(new Array(value.length), value); break; default: out[key] = value; } } } return out; } deepExtend({}, element);
JQuery
$.extend(true, {}, element);
json
JSON.parse(JSON.stringify(element));
Rendered benchmark preparation results:
Suite status:
<idle, ready to run>
Run tests (3)
Previous results
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Test case name
Result
Vanilla JS
JQuery
json
Fastest:
N/A
Slowest:
N/A
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Autogenerated LLM Summary
(model
llama3.2:3b
, generated one year ago):
Let's dive into the Benchmark Definition and explain what's being tested. **What is being tested?** The benchmark measures the performance of three different approaches to create a deeply nested object: 1. **Vanilla JavaScript**: This approach uses the `deepExtend` function, which recursively merges objects using the `Object.prototype.toString.call(value)` method. 2. **jQuery**: This approach uses the `$` symbol from jQuery's `extend` method to merge the `element` object into a new object. 3. **JSON**: This approach uses the `JSON.parse(JSON.stringify(element))` method to create a deep copy of the `element` object. **Options compared** The benchmark compares the performance of these three approaches: * **Vanilla JavaScript (deepExtend)**: The `deepExtend` function is defined as shown in the Benchmark Definition, and it's used to merge objects recursively. * **jQuery**: The `$` symbol from jQuery's `extend` method is used to merge the `element` object into a new object. * **JSON**: The `JSON.parse(JSON.stringify(element))` method is used to create a deep copy of the `element` object. **Pros and Cons** Here are some pros and cons for each approach: * **Vanilla JavaScript (deepExtend)**: + Pros: No external dependencies, easy to understand and implement. + Cons: Can be slower due to recursive function calls, may not handle certain edge cases well. * **jQuery**: + Pros: Fast and efficient, handles many edge cases automatically. + Cons: Requires an additional library (jQuery), can be less intuitive for some developers. * **JSON**: + Pros: Simple and easy to understand, handles most edge cases correctly. + Cons: May not be as fast as other approaches due to parsing overhead. **Library and purpose** In the Benchmark Definition, jQuery is used as a library for its `extend` method. The `$` symbol is used to access this method. **Special JS feature or syntax** None of the approaches in this benchmark use any special JavaScript features or syntax beyond what's described in the Benchmark Definition. **Other alternatives** If you're interested in exploring alternative approaches, here are a few options: * **Lodash**: A popular utility library that includes functions like `merge` and `pick`, which can be used to merge objects. * **Immutable.js**: A library that provides functional programming utilities for immutable data structures. * **ES6 Object Merging**: The ES6 specification defines methods for merging objects, such as `Object.assign()` and `Object.merge()`. These approaches are often faster than the alternatives but may not handle certain edge cases well. Keep in mind that each approach has its own trade-offs and characteristics. When choosing an approach, consider factors like performance requirements, maintainability, and compatibility with different browsers or environments.
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