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_.pickBy vs native reduce2
(version: 0)
Comparing performance of:
_.pickBy vs native
Created:
2 years ago
by:
Registered User
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HTML Preparation code:
<script src='https://cdnjs.cloudflare.com/ajax/libs/lodash.js/4.17.5/lodash.min.js'></script>
Script Preparation code:
var dailySettings = Array(752) .fill() .reduce((acc, curr, i) => { acc[i] = { '2023-01-01': { 1: 100, 2: 110, extraAdult: 50, extraChild: 50, algorithm: 'DBR', baseRateCode: 'RATE-1', baseAmount: 110 } }; return acc; }, {}); var predicate = v => v % 2 === 0;
Tests:
_.pickBy
_.pickBy(dailySettings, predicate);
native
Object.keys(dailySettings).reduce((accr, cur) => { return { ...accr, [cur]: dailySettings[cur], } }, {})
Rendered benchmark preparation results:
Suite status:
<idle, ready to run>
Run tests (2)
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Test case name
Result
_.pickBy
native
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 world of JavaScript microbenchmarks on MeasureThat.net. **Benchmark Overview** The provided benchmark compares two approaches to reduce an object: using the Lodash library (`_.pickBy`) and the native `reduce` method. The test case creates an array of 752 objects, each representing a daily setting with various properties. **`.pickBy` (Lodash)** * Library: Lodash (version 4.17.5) * Purpose: A utility function that returns a new object containing only the specified properties from the original object. * Pro: + Concise and readable code + Easy to maintain and modify + Supports various predicate functions for filtering * Con: + Requires an external library, which may slow down execution + May not be optimized for performance **Native `reduce`** * Purpose: A built-in method that applies a reduction function to each element in the array. * Pro: + No external dependencies required + Optimized for performance by the JavaScript engine + Flexible and customizable * Con: + Requires manual property iteration and object creation + More verbose code compared to `.pickBy` **Comparison** The benchmark compares the execution time of both approaches on a Mac OS X 10.15.7 machine with Chrome 114 browser. The test cases are executed at a rate of approximately 17739 executions per second. * `.pickBy` (Lodash) is significantly faster, with an average execution time of around 4.09 milliseconds. * Native `reduce` takes longer, with an average execution time of around 9.41 milliseconds. **Other Considerations** When choosing between these approaches, consider the following factors: * Performance: If speed is crucial, using native `reduce` might be a better choice, as it's optimized by the JavaScript engine. * Code readability and maintainability: `.pickBy` (Lodash) provides concise and readable code, making it easier to understand and modify. * Library dependencies: Using an external library like Lodash may add overhead, while native methods don't require any additional dependencies. **Other Alternatives** If you're looking for alternative approaches to reduce objects or arrays, consider the following: * `forEach` method with a callback function * `map` method followed by `reduce` * Using `filter`, `every`, and other array methods in combination Keep in mind that each approach has its pros and cons, and the best choice depends on your specific use case and performance requirements.
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_.pickBy vs native reduce
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