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array slice vs immutable-js takeLast 3
(version: 1)
Comparing performance of:
array slice vs immutable-js
Created:
5 years ago
by:
Registered User
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HTML Preparation code:
<script src="https://unpkg.com/immutable@4.0.0-rc.12/dist/immutable.min.js"></script>
Tests:
array slice
let initArr = new Array(5000).fill(88); const limitArr = (arr, limit) => (arr.length > limit ? arr.slice(-limit) : arr); for(i=0; i<10000; i++) { initArr.push(55, 12, 3); initArr = limitArr(initArr, 5000); }
immutable-js
let initList = Immutable.List(); initList = initList.push(...(new Array(5000).fill(88))); const limitList = (list, limit) => (list.size > limit ? list.takeLast(limit) : list); for(i=0; i<10000; i++) { initList = limitList(initList.push(55, 12, 3), 5000); }
Rendered benchmark preparation results:
Suite status:
<idle, ready to run>
Run tests (2)
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Test case name
Result
array slice
immutable-js
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 and analyze the provided benchmark. **Overview** The provided benchmark compares two approaches for limiting the length of an array: 1. `Array.prototype.slice()` 2. A custom implementation using Immutable.js, which is a library for working with immutable data structures. **What is tested?** The benchmark tests the performance of these two approaches in different scenarios: * In the first test case, `array slice`, 55,000 elements are pushed onto an array with an initial size of 5,000. The `slice()` method is then used to limit the array length to 5,000. * In the second test case, `immutable-js`, an Immutable.js list is created and populated with 55,000 elements. The `takeLast()` method is then used to limit the list size to 5,000. **Options compared** The benchmark compares two options: 1. `Array.prototype.slice()`: A built-in JavaScript method for limiting the length of an array. 2. Immutable.js: A library that provides immutable data structures and methods for working with them. **Pros and Cons** Here are some pros and cons of each approach: **Array.prototype.slice()** Pros: * Wide support across different browsers and versions * Fast execution time Cons: * Can be slower than other approaches due to the overhead of creating a new array slice * May not perform well for very large arrays, as it creates a new array object **Immutable.js** Pros: * Provides immutable data structures, which can lead to faster execution times and reduced side effects * Allows for more predictable behavior and easier debugging Cons: * May have a performance overhead due to the creation of Immutable.js objects * Requires additional setup and configuration (e.g., importing the library) **Library: Immutable.js** Immutable.js is a popular JavaScript library for working with immutable data structures. It provides a range of methods for creating, manipulating, and transforming immutable data structures, such as lists, sets, maps, and more. In this benchmark, Immutable.js is used to create an Immutable.js list and then apply the `takeLast()` method to limit its size. **Special JS feature: No** There are no special JavaScript features or syntaxes involved in these test cases. The focus is on comparing the performance of different array manipulation approaches. **Other alternatives** If you're looking for alternative approaches to array manipulation, here are a few options: 1. `Array.prototype.splice()`: This method can be used to remove elements from an array and limit its size. 2. `Array.prototype.slice().concat()`: This approach involves creating a new array by slicing the original array and then concatenating it with a new array containing only the desired elements. 3. Other libraries, such as Lodash or Ramda, which provide various utility functions for working with arrays. Keep in mind that each of these alternatives has its own trade-offs and performance characteristics, and may not offer the same level of predictability and reliability as Immutable.js or `Array.prototype.slice()`.
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