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Lodash vs Native reduce on object - updated 2
(version: 0)
Comparing performance of:
Lodash vs Native
Created:
7 years ago
by:
Guest
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HTML Preparation code:
<script src="https://cdnjs.cloudflare.com/ajax/libs/lodash.js/4.17.10/lodash.min.js"></script>
Script Preparation code:
window.obj = {}; for (var i = 0, len = 10; i < len; i++) { var arr = [] obj['key' + i] = arr for (var n = 0, len = 10; n < len; n++) { arr.push({ ['key' + n]: n }); } }
Tests:
Lodash
_.reduce(obj, (acc, val, key) => { acc[key] = val.map(d => ({ label: key, value: val })); return acc; }, {})
Native
Object.entries(obj).reduce((acc, [key, val]) => { acc[key] = val.map(d => ({ label: key, value: val })); return acc; }, {})
Rendered benchmark preparation results:
Suite status:
<idle, ready to run>
Run tests (2)
Previous results
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Test case name
Result
Lodash
Native
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 dive into explaining the benchmark. **Benchmark Purpose:** The benchmark measures the performance difference between two approaches to reduce an object in JavaScript: 1. Using Lodash (a popular JavaScript utility library) with its `reduce` method. 2. The native JavaScript `reduce` method (i.e., built-in and not requiring any external libraries). **Options Compared:** * **Lodash:** Uses the `reduce` method from Lodash to iterate over the object entries, performing a transformation on each value and accumulating the results in an accumulator object. * **Native JavaScript:** Utilizes the native `reduce` method (available since ECMAScript 2015) to reduce the object entries, achieving similar transformations as the Lodash implementation. **Pros and Cons:** ### Lodash: Pros: + Wide adoption and familiarity among developers due to its extensive library of utility functions. + Often easier to understand and write for developers already familiar with the library. + Can provide a more readable and maintainable codebase. Cons: + Adds an extra dependency (the Lodash library) to the benchmark, potentially affecting performance in non-optimized environments. + May incur overhead due to the loading of the library and potential caching issues. ### Native JavaScript: Pros: + No additional dependencies or overhead, providing a pure JavaScript implementation. + More control over optimization strategies and caching mechanisms. + Typically faster execution due to its native nature. Cons: + Requires a deeper understanding of the native `reduce` method and its behavior. + May be less readable for developers unfamiliar with the built-in functionality. **Library (Lodash) Purpose:** The Lodash library provides a comprehensive collection of utility functions, including `reduce`, that can simplify code and improve performance. In this benchmark, it is used to demonstrate the efficiency of the native JavaScript implementation by providing an alternative approach. **Special JS Feature/Syntax:** None mentioned in the provided benchmark definition or test cases. **Other Alternatives:** * For a pure JavaScript implementation without relying on external libraries, you can explore other utility libraries like Ramda.js or Underscore.js. * If looking for built-in alternatives to Lodash, consider using the `Array.prototype.map` and `Object.entries()` methods, as shown in the individual test cases. When considering these alternatives, keep in mind factors such as library size, performance overhead, code readability, and your specific use case requirements.
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