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Lodash remive vs native filter
(version: 0)
compare filter methods on arrays that both modify objects and remove items from the array.
Comparing performance of:
native filter vs Lodash remove
Created:
4 years ago
by:
Guest
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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 testCopy = null; var testArray = [{ id: 1, description: 'Random description.', testDate: new Date(), testBoolean: true, testObject: { testString: 'test string', testNumber: 12345 }, testArray: [{ myName: 'test name', myNumber: 123245 }] },{ id: 2, description: 'Random description.', testNumber: 123456789, testBoolean: true, testObject: { testString: 'test string', testNumber: 12345 }, testArray: [{ myName: 'test name', myNumber: 123245 }] }];
Tests:
native filter
testCopy = testArray.filter((it) => it.id !== 2)
Lodash remove
testCopy = _.remove(testArray,(it) => it.id !== 2);
Rendered benchmark preparation results:
Suite status:
<idle, ready to run>
Run tests (2)
Previous results
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Test case name
Result
native filter
Lodash remove
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 break down the benchmark and explain what's being tested. **Benchmark Definition** The benchmark is comparing two approaches to filter an array in JavaScript: 1. **Native Filter**: Using the built-in `filter()` method on the native JavaScript array. 2. **Lodash Remove**: Using the `_remove()` function from the Lodash library, which is a popular utility library for JavaScript. **Options Compared** The benchmark is comparing two options: * The **native filter approach**, which uses the built-in `filter()` method to create a new array with only the elements that pass the test (in this case, elements where `it.id !== 2`). * The **Lodash remove approach**, which uses the `_remove()` function from Lodash to create a new array with all elements except those that match the condition (`it.id === 2`). **Pros and Cons of Each Approach** **Native Filter** Pros: * Faster execution times, since it's a built-in method optimized for performance. * Easier to understand and use, as it's a familiar method in JavaScript. Cons: * May not be suitable for all types of data or use cases (e.g., non-numeric arrays). * Requires the array to be a native JavaScript array, which might limit its flexibility. **Lodash Remove** Pros: * More flexible and versatile, since Lodash provides a wide range of utility functions. * Can handle various types of data and edge cases more easily. Cons: * Slower execution times compared to the native filter approach. * Requires importing an additional library (Lodash), which might add overhead. **Other Considerations** Both approaches have different performance characteristics, depending on the size and complexity of the input array. The Lodash remove approach may be slower due to the overhead of function calls and object lookups, while the native filter approach is optimized for direct memory access. The benchmark results will likely show a significant difference in execution times between the two approaches, with the native filter being faster. However, the choice of which approach to use ultimately depends on the specific requirements and constraints of your project. **Library Used (Lodash)** Lodash is a popular JavaScript utility library that provides a wide range of functions for various tasks, such as: * Array manipulation (e.g., `filter()`, `_remove()`) * Object manipulation (e.g., `map()`, `_pick()`) * String manipulation (e.g., `replace()`, `_trim()`) * Functional programming utilities (e.g., `_each()`, `_forEach()`) Lodash is widely used in JavaScript projects and provides a convenient way to perform common tasks without having to write custom code. **Special JS Feature/Syntax** There are no specific JavaScript features or syntax mentioned in the benchmark definition. The focus is on comparing two different approaches to filter an array, which is a fundamental operation in JavaScript programming.
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