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flatmap vs reduce test
(version: 0)
Comparing performance of:
reduce vs flatmap
Created:
2 years ago
by:
Guest
Jump to the latest result
Script Preparation code:
var arr = new Array(10000).fill([1,2]);
Tests:
reduce
const result = arr.reduce((acc, val) => { if(val === 1) acc.push(val) } , [])
flatmap
const result = arr.flatMap((val) => { if(val === 1) return [] return val })
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 break down the provided benchmark and explain what's being tested. **Benchmark Definition** The benchmark is defined by two test cases: `reduce` and `flatmap`. The script preparation code is the same for both tests, creating an array `arr` with 10,000 elements, each containing an array `[1,2]`. **Options Compared** In this benchmark, we're comparing two JavaScript methods: 1. **Reduce**: A method that applies a callback function to each element of an array and reduces it to a single output value. 2. **FlatMap**: A method (introduced in ECMAScript 2019) that returns a new array with the results of applying a provided mapping function on every element of the calling array. **Pros and Cons** 1. **Reduce**: * Pros: Can be used to perform aggregation, grouping, or filtering operations. * Cons: Requires an initial value for the accumulator, which can lead to errors if not specified correctly. 2. **FlatMap**: * Pros: Provides a concise way to flatten arrays and transform data in a single pass. * Cons: Can be less efficient than `reduce` because it creates a new array, leading to more memory allocation and garbage collection. **Library and Special JS Feature** There are no libraries used in this benchmark. However, **FlatMap** is a special JavaScript feature introduced in ECMAScript 2019, which allows for concise array flattening and transformation. **Other Alternatives** If you don't have access to ECMAScript 2019 or later versions of JavaScript, alternative methods can be used: 1. `Array.prototype.forEach()` with `map` and `slice()`: You can use a loop to iterate over the array and concatenate the results. 2. **Loops**: A simple loop can be used to iterate over the array elements and perform the desired operation. In summary, this benchmark tests the performance of two JavaScript methods: `reduce` and `flatmap`. While `reduce` provides more control and flexibility, `flatMap` offers a concise way to flatten arrays and transform data. The choice between the two depends on your specific use case and performance requirements. As a software engineer, understanding these differences is essential for writing efficient and effective code in JavaScript.
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