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(get) Lodash.js vs Native
(version: 0)
Comparing performance of:
Native vs Lodash.js filter
Created:
7 years ago
by:
Guest
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HTML Preparation code:
<script src="https://cdn.jsdelivr.net/npm/lodash@4.17.4/lodash.min.js"></script>
Script Preparation code:
function resolve(path, obj) { return path.split('.').reduce(function(prev, curr) { return prev ? prev[curr] : null }, obj || self) } var object = { key1: { key2: { key3: "hola" } } }
Tests:
Native
resolve('key1.key2.key3', object)
Lodash.js filter
_.get(object, 'key1.key2.key3')
Rendered benchmark preparation results:
Suite status:
<idle, ready to run>
Run tests (2)
Previous results
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Test case name
Result
Native
Lodash.js filter
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 definition and explain what's being tested. **Benchmark Definition:** The benchmark is testing two different approaches to achieve the same result: 1. **Native**: The native approach uses JavaScript's built-in object resolution mechanism, where the `resolve` function splits the property path into individual keys and then iterates through the object to find the value. 2. **Lodash.js filter**: The Lodash.js filter approach uses the popular utility library, Lodash, which provides a convenient way to access nested properties of an object using the `_get()` function. **Options Compared:** The benchmark is comparing two options: 1. **Native**: Using JavaScript's built-in object resolution mechanism. 2. **Lodash.js filter**: Using the Lodash library to access nested properties. **Pros and Cons:** **Native Approach:** Pros: * No additional library dependency, which can reduce overhead and improve performance in environments where Lodash is not available or has not been bundled with the application. * Can be more efficient since it doesn't require the extra function call and data lookup associated with using a library. Cons: * May require more manual effort to handle complex property paths, as the developer needs to implement their own logic for resolving nested properties. * May not work in environments where JavaScript's built-in object resolution mechanism is not supported or is disabled by security policies. **Lodash.js filter Approach:** Pros: * Provides a convenient and well-tested way to access nested properties, reducing the burden on developers to write custom implementation. * Can handle complex property paths more easily than the native approach. Cons: * Requires including an additional library dependency, which can increase overhead and potentially impact performance in certain environments. * May introduce some overhead due to the extra function call and data lookup required by the `_get()` function. **Library: Lodash** Lodash is a popular JavaScript utility library that provides a collection of functional programming helpers, including the `_get()` function used in this benchmark. The library offers many useful functions for tasks like array manipulation, object iteration, and more. In this case, `_get()` is used to access nested properties of an object. **Special JS Feature/Syntax:** None mentioned explicitly in the provided information. However, it's worth noting that some JavaScript features or syntax may not be supported by all browsers or environments, which could impact the benchmark results. **Other Alternatives:** If you're looking for alternative approaches to access nested properties of an object, here are a few options: 1. **Use `Object.prototype.hasOwnProperty.call()`**: This approach uses the `hasOwnProperty()` method to check if an object has a property with the specified name. 2. **Use a recursive function**: You can write a custom recursive function that traverses the object graph and returns the desired value. 3. **Use a library like Underscore.js**: Similar to Lodash, but with some differences in features and API. Keep in mind that these alternatives may have different trade-offs in terms of performance, complexity, and maintainability compared to using Lodash or JavaScript's built-in object resolution mechanism.
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