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filter vs lodash diff1
(version: 0)
Comparing performance of:
filter vs lodash difference
Created:
3 years ago
by:
Guest
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HTML Preparation code:
<script src="https://cdn.jsdelivr.net/lodash/4.17.21/lodash.min.js"></script>
Script Preparation code:
var arr1 = ["a", "b "]; var arr2 = ["a", "b"];
Tests:
filter
arr2.filter(d => arr1.includes(d))
lodash difference
_.difference(arr2, arr1)
Rendered benchmark preparation results:
Suite status:
<idle, ready to run>
Run tests (2)
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Test case name
Result
filter
lodash difference
Fastest:
N/A
Slowest:
N/A
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Autogenerated LLM Summary
(model
llama3.2:3b
, generated one year ago):
Let's break down the benchmark and explain what's being tested. **Benchmark Overview** The benchmark compares two approaches to find the elements in `arr2` that are not present in `arr1`: using the `filter()` method with an arrow function, and using the `_difference()` function from the Lodash library. **Options Compared** There are two options compared: 1. **filter()**: This approach uses the `includes()` method to check if each element in `arr2` is present in `arr1`. The resulting array of elements that are not in `arr1` is then returned. 2. **Lodash `_difference()`**: This approach uses Lodash's `_difference()` function, which takes two arrays as input and returns an array containing the elements that are in the first array but not in the second. **Pros and Cons** **Filter()** Pros: * Simple and well-supported by most browsers * No additional library dependencies Cons: * Can be slower than Lodash's `_difference()` due to the use of `includes()` method, which has to iterate over the entire `arr1` array for each element in `arr2`. * May not perform well with very large datasets. **Lodash `_difference()`** Pros: * Optimized for performance and can handle large datasets efficiently * Part of a larger library ecosystem that provides many useful utility functions Cons: * Requires loading an additional library, which may add overhead. * May have dependencies on other Lodash functions or features that aren't relevant to this specific benchmark. **Other Considerations** * The benchmark assumes that both `arr1` and `arr2` are arrays of strings. If they were arrays of numbers or objects, the comparison would be different. * The `filter()` approach uses a simple arrow function (`d => arr1.includes(d)`) to create the callback function. This is a concise way to define small functions in JavaScript. **Library: Lodash** Lodash is a popular JavaScript library that provides a collection of utility functions for tasks like array manipulation, string manipulation, and more. The `_difference()` function is part of this collection and is designed to efficiently calculate the difference between two arrays. **Special JS Feature/Syntax (None)** There are no special JavaScript features or syntax used in this benchmark. **Alternatives** Other alternatives for finding the elements in `arr2` that are not present in `arr1` include: * Using a `for...in` loop and manually iterating over each element in `arr2`. * Using a `set` data structure to keep track of unique elements in `arr1`, then checking if each element in `arr2` is present in the set. * Using a more advanced library like Ramda, which provides a `differenceBy()` function for working with arrays and objects.
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Lodash difference vs JS filter and includes
lodash difference vs array filter
filter vs lodash diff2
Lodash filter VS native filter (with Lodash actually loaded)
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