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intersection vs lodash.intersection
(version: 0)
Comparing performance of:
Array intersection vs Lodash intersection
Created:
6 years ago
by:
Guest
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HTML Preparation code:
<script src='https://cdnjs.cloudflare.com/ajax/libs/lodash.js/4.17.15/lodash.min.js'></script>
Tests:
Array intersection
var params = [ "hello", "hello2", "sname" ]; var other = [ "red", "wine", "hello" ].filter(value => params.includes(value))
Lodash intersection
var params = [ "hello", "hello2", "sname" ]; var other = _.intersection([ "red", "wine", "hello" ], params);
Rendered benchmark preparation results:
Suite status:
<idle, ready to run>
Run tests (2)
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Test case name
Result
Array intersection
Lodash intersection
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 provided benchmark and explain what's being tested. **Overview** The benchmark compares two approaches to find common elements between two arrays: using the native JavaScript `includes()` method and using the Lodash library's `intersection()` function. **Native JavaScript Approach (inclusion)** In this approach, a filter function is applied to one array (`other`) to check if each element matches any value in another array (`params`). The native `includes()` method is used inside this filter function. This approach has a time complexity of O(n^2), where n is the length of the smaller array. Pros: * No additional library dependency required * Simple implementation Cons: * Time complexity can be inefficient for large arrays, leading to slower performance * May not be suitable for very small or very large arrays due to overhead costs **Lodash Library Approach (intersection)** In this approach, the Lodash library's `intersection()` function is used to find common elements between two arrays. This function uses a more efficient algorithm with a time complexity of O(n). Pros: * More efficient than the native JavaScript approach * Built-in functionality in Lodash library reduces code duplication and improves readability Cons: * Requires additional library dependency (Lodash) * May have slower startup times due to loading the library **Other Considerations** * The benchmark uses a relatively small array size (`params` has 3 elements, and `other` has 3-4 elements). Larger array sizes would likely favor the Lodash approach. * The `includes()` method is called inside a filter function, which may introduce additional overhead costs compared to using it standalone. **Library Used: Lodash** Lodash is a popular JavaScript utility library that provides a wide range of functions for tasks like array manipulation, object transformation, and more. In this benchmark, the `intersection()` function from Lodash is used to compare with the native JavaScript approach. **Special JS Feature/ Syntax** None are mentioned in the provided benchmark definition or code snippets. **Alternatives** Other alternatives to compare arrays and find common elements include: * Using a library like Ramda.js (another popular functional programming library) * Implementing a custom solution using bitwise operations, sorting, or other algorithms * Utilizing specialized libraries like Apache Arrow (for array-based computations) Keep in mind that these alternatives might have different performance characteristics, complexity, and trade-offs compared to the Lodash approach.
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native intersect vs lodash intersection
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