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instancetoinstance3
(version: 2)
Comparing performance of:
classtransform vs loadash
Created:
3 years ago
by:
Registered User
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HTML Preparation code:
<script src='https://unpkg.com/requirejs@2.3.6/bin/r.js'></script>
Script Preparation code:
define(function () { return { loadash: "https://cdnjs.cloudflare.com/ajax/libs/lodash.js/4.17.5/lodash.min.js", classTransform: "https://npmcdn.com/class-transformer@0.5.1/csj/index.js", }; }); 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...' } };
Tests:
classtransform
define(['classTransform'], function (classTransform) { classTransform.instanceToInstance(MyObject); });
loadash
define(['loadash'], function (loadash) { loadash.cloneDeep(MyObject); });
Rendered benchmark preparation results:
Suite status:
<idle, ready to run>
Run tests (2)
Previous results
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Test case name
Result
classtransform
loadash
Fastest:
N/A
Slowest:
N/A
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Autogenerated LLM Summary
(model
llama3.2:3b
, generated one year ago):
Measuring the performance of JavaScript microbenchmarks is an essential task, and MeasuringThat.net is a great platform to do so. The provided benchmark test case uses two different approaches: 1. **Class Transformation**: This approach tests the `instanceToInstance` method from the Class Transform library, which converts objects to their JSON representations. 2. **JSON Clone Deep**: This approach uses the Lodash library to create a deep copy of the `MyObject`, which is an object with nested properties. Let's break down each approach: **Class Transformation** * Purpose: Convert an object to its JSON representation using the `instanceToInstance` method from Class Transform. * Pros: + Can be useful for serializing objects, such as storing them in a database or sending them over a network. + Reduces memory usage by converting objects to a more compact format. * Cons: + May not preserve all object properties or behaviors. + Can lead to slower performance due to the additional overhead of serialization and deserialization. **JSON Clone Deep** * Purpose: Create a deep copy of an object using Lodash's `cloneDeep` function. * Pros: + Preserves all object properties and behaviors, including nested objects and arrays. + Returns a new object with no references to the original data. * Cons: + Can lead to slower performance due to the overhead of creating a deep copy of large objects. + Requires an additional library (Lodash) and potentially more memory. The test cases compare the execution time of these two approaches. The `classtransform` test case uses Class Transformation, while the `loadash` test case uses JSON Clone Deep. In general, when choosing between Class Transformation and JSON Clone Deep, consider the following: * If you need to serialize objects for storage or transmission, Class Transformation might be a better choice. * If you need to preserve object properties and behaviors, especially in nested structures, JSON Clone Deep is likely a better choice. * If performance is critical, and memory usage is not an issue, you might prefer to use native JavaScript methods (e.g., `Object.assign()` or `Array.prototype.slice()`) instead of these libraries. Other alternatives to consider: * **Native JavaScript methods**: You can use built-in JavaScript methods like `Object.assign()`, `Array.prototype.slice()`, or `JSON.stringify()` to achieve similar results. * **Other serialization libraries**: Depending on your specific requirements, you might find other serialization libraries (e.g., serialize-js) that offer different trade-offs between performance and ease of use. Please note that this explanation is intended for a wide range of software engineers with varying levels of JavaScript expertise.
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