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Reduce vs flatMap performance
(version: 0)
Comparing performance of:
Reduce vs FlatMap
Created:
3 years ago
by:
Guest
Jump to the latest result
Script Preparation code:
var arr = Array(10_000).fill(0)
Tests:
Reduce
arr.reduce((acc, item) => { acc.push(item, item); return acc; }, []);
FlatMap
arr.flatMap((item) => [item, item])
Rendered benchmark preparation results:
Suite status:
<idle, ready to run>
Run tests (2)
Previous results
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Test case name
Result
Reduce
FlatMap
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 world of JavaScript microbenchmarks on MeasureThat.net. **What is being tested?** The provided benchmark compares the performance of two JavaScript functions: `reduce()` and `flatMap()`. Both functions are used to process an array of values, but they differ in how they handle the elements. In this case, we're testing the two functions with a specific input: an array filled with 10,000 zeros (`var arr = Array(10_000).fill(0)`). **Options compared** The benchmark is comparing the performance of `reduce()` and `flatMap()`. Here's what each function does: 1. `reduce()`: This function applies a callback function to each element in the array, accumulating a result value. In this case, the callback function pushes each element twice (`item => { acc.push(item, item); return acc; }`), effectively doubling the number of elements. 2. `flatMap()`: This function returns a new array containing the results of applying a provided function on every element in the calling array. In this case, the function simply returns an array with each element duplicated (`(item) => [item, item]`). **Pros and cons of each approach** 1. **Reduce()**: * Pros: Can be more efficient for small arrays or when a simple aggregation is required. * Cons: Can lead to memory issues if the array is very large, as it accumulates elements in a single variable (`acc`). * Considerations: If the input array is very large, `reduce()` might not be suitable due to potential performance and memory issues. 2. **flatMap()**: * Pros: Returns a new array with duplicate elements, making it easier to handle multiple values per element. * Cons: Creates an additional array, which can lead to increased memory usage and slower performance for large arrays. In general, if you need to perform a simple aggregation or transformation on a small array, `reduce()` might be a better choice. However, when dealing with larger arrays or requiring more flexibility in handling multiple values per element, `flatMap()` is likely a better option. **Library used** Neither of the benchmarked functions uses an external library, so no libraries are compared or considered as alternatives. **Special JavaScript feature or syntax** There's no special JavaScript feature or syntax being used in this benchmark. The focus is solely on comparing the performance of two native JavaScript functions: `reduce()` and `flatMap()`.
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