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Lodash partion vs 2 Filter
(version: 0)
Comparing performance of:
Reduce vs Filters
Created:
4 years ago
by:
Guest
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Script Preparation code:
var tabl = Array.from({ length: 10000 }).map((value, i) => i)
Tests:
Reduce
const newArr = tabl.reduce((prevArr, currVal) => {if(currVal === 900) {return [currVal, ...prevArr]} else {return [...prevArr, currVal]}}, [])
Filters
const newArr = [...tabl.filter(e => e === 900),...tabl.filter(e => e !== 900)];
Rendered benchmark preparation results:
Suite status:
<idle, ready to run>
Run tests (2)
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Test case name
Result
Reduce
Filters
Fastest:
N/A
Slowest:
N/A
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Autogenerated LLM Summary
(model
gemma2:9b
, generated one year ago):
This benchmark compares two methods for partitioning an array in JavaScript: **1. `reduce` method:** * **Benchmark Definition:** Uses the `reduce()` method to iterate through the array and build a new array based on the condition (if the current value is 900, add it to the beginning of the new array, otherwise, add it to the end). * **Pros:** * Can be more concise than using multiple filters. * **Cons:** * Potentially less performant compared to `filter` due to its general-purpose nature and potentially deeper traversal of the array structure. * More complex logic for some users to grasp. **2. `filter` method:** * **Benchmark Definition:** Uses two separate `filter()` calls, one to collect elements equal to 900 and another to collect elements different from 900, then combines the results into a new array. * **Pros:** * Potentially more performant due to its specialized task of filtering based on a condition. * Simpler logic for some users to understand. * **Cons:** * Requires two separate `filter` calls, potentially leading to more verbose code. **Alternatives:** * **Lodash's `partition` function:** Lodash offers a dedicated `_.partition()` function designed specifically for this type of array splitting. It could be more performant and concise than the compared approaches. * **Lodash Purpose:** A library that provides utility functions for working with JavaScript objects, arrays, strings, and more, often enhancing functionality beyond what's built into native JavaScript. * **Third-party libraries:** Other JavaScript libraries (like Ramda or Immutable) might offer optimized functions for partitioning arrays. **Considerations:** * **Array Size:** The performance difference between the methods can become more significant with larger arrays. * **Specific Use Case:** If you need to filter based on complex conditions or perform additional operations within the filtering process, the `reduce` approach might be more suitable. Let me know if you have any other questions!
Related benchmarks:
lodash partition vs forEach with array push vs two filter loops
lodash partition vs find and filter
lodash partition vs forEach with array push vs two "some" filter loops
lodash partition vs forEach with array spread iterator vs array push vs for each with concat vs two filters
lodash partition vs forEach with array spread iterator vs array push vs for each with concat vs two filters with 10000
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