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Lodash DifferenceWith vs Native with Object
(version: 0)
Comparing performance of:
Native vs Lodash.js filter
Created:
3 years ago
by:
Guest
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HTML Preparation code:
<script src="https://cdn.jsdelivr.net/npm/lodash@4.17.4/lodash.min.js"></script>
Script Preparation code:
const makeObject= (id) => { id } const fillArray = (nb)=> { let array = []; for(let i = nb; i>0; i--){ array.push(makeObject(i)); } return array; } var oldArr = fillArray(100) var newArr = fillArray(200)
Tests:
Native
newArr.reduce((ids, obj) => { return ids.concat( !oldArr.some(oldItem => _.isEqual(oldItem,obj)) ? obj : [] ); }, [])
Lodash.js filter
_.differenceWith(newArr, oldArr, _.isEqual);
Rendered benchmark preparation results:
Suite status:
<idle, ready to run>
Run tests (2)
Previous results
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Test case name
Result
Native
Lodash.js filter
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 dive into the explanation of the provided benchmark. **Benchmark Overview** The benchmark measures the performance difference between two approaches: 1. Native JavaScript implementation 2. Using the Lodash library's `differenceWith` function **Native Implementation** The native implementation uses the built-in JavaScript methods to achieve the same result as the Lodash `differenceWith` function. In this case, it uses the `reduce` method and the `some` method with a callback function. Here's a simplified explanation of the code: ```javascript newArr.reduce((ids, obj) => { return ids.concat( !oldArr.some(oldItem => _.isEqual(oldItem, obj)) ? obj : [] ); }, []) ``` The native implementation works by iterating over the `newArr` array and for each element, it checks if there's an existing element in `oldArr` that is equal to the current element using the `_` (lodash) function. If no such element exists, it concatenates the current object with the accumulator (`ids`). This way, the native implementation achieves a similar result as the Lodash `differenceWith` function without relying on a library. **Lodash Library** The Lodash library is a popular JavaScript utility library that provides a wide range of functions for various tasks, including array manipulation, string manipulation, and more. The `differenceWith` function is specifically designed to find the difference between two arrays using a custom comparison function. In this benchmark, the Lodash `differenceWith` function takes three arguments: * `newArr`: the first array * `oldArr`: the second array * `isEqual`: the comparison function The `_` (lodash) library is used in the native implementation to access its functions. This suggests that the test environment uses a bundled version of Lodash, which includes all its functions. **Pros and Cons** Here are some pros and cons of each approach: Native Implementation: Pros: * No external dependency on the Lodash library * May be faster due to fewer function calls Cons: * More complex code * Requires careful implementation to achieve the same result as `differenceWith` Lodash Library (specifically, `differenceWith`): Pros: * Easier to implement and maintain * Well-tested and widely used Cons: * External dependency on the Lodash library * May be slower due to function call overhead **Other Considerations** When writing a benchmark like this, it's essential to consider other factors that might impact performance, such as: * Cache locality: How well do the arrays align in memory? This can affect cache performance. * Branch prediction: How often does the `some` method branch predict correctly? * Loop unrolling: Can the native implementation be optimized using loop unrolling techniques? **Alternatives** If you're looking for alternative libraries or implementations, consider: * `Array.prototype.filter()`: A more straightforward approach that doesn't rely on a custom comparison function. * `lodash-unique`: Another Lodash library that provides an `unaryWith` function similar to `differenceWith`. * Custom implementation using bitwise operations: This can be a highly optimized solution but requires careful implementation and testing. Keep in mind that the best approach will depend on your specific use case, performance requirements, and personal preferences.
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