Toggle navigation
MeasureThat.net
Create a benchmark
Tools
Feedback
FAQ
Register
Log In
flatMap vs reduce 2
(version: 0)
Comparing performance of:
reduce with concat vs flatMap
Created:
2 years ago
by:
Guest
Jump to the latest result
Script Preparation code:
var arr = Array(10_000).fill(0)
Tests:
reduce with concat
arr.reduce((acc, x) => acc.push(...[1], ...[2]), [])
flatMap
arr.flatMap((x) => [...[1], ...[2]])
Rendered benchmark preparation results:
Suite status:
<idle, ready to run>
Run tests (2)
Previous results
Fork
Test case name
Result
reduce with concat
flatMap
Fastest:
N/A
Slowest:
N/A
Latest run results:
No previous run results
This benchmark does not have any results yet. Be the first one
to run it!
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 comparing two approaches: `flatMap` and `reduce` with concatenation (`...[1], ...[2]`). The input data is an array of 10,000 zeros (`arr = Array(10_000).fill(0)`). **Test Cases** There are two individual test cases: 1. **"reduce with concat"`**: This test case measures the performance of using `reduce` with concatenation to flatten the array. 2. **"flatMap"`**: This test case measures the performance of using `flatMap` to flatten the array. **Options Compared** The benchmark is comparing two approaches: * **`reduce` with concatenation (`...[1], ...[2]`)** * **`flatMap`** **Pros and Cons of Each Approach:** 1. **`reduce` with concatenation**: * Pros: + Can be more flexible for custom flattening logic. + Might be easier to understand for developers familiar with `reduce`. * Cons: + Requires manual concatenation, which can lead to performance issues due to array copying. + Less efficient than `flatMap` in modern JavaScript engines. 2. **`flatMap`**: * Pros: + More efficient than `reduce` with concatenation due to optimized array flattening implementation. + Less prone to errors and performance regressions. **Library and Its Purpose** There is no specific library mentioned in the benchmark definition or test cases. However, it's worth noting that `flatMap` was introduced in ECMAScript 2019 (ES10) as a built-in method for flattening arrays. **Special JS Feature or Syntax: None** No special JavaScript features or syntax are used in this benchmark. **Other Considerations:** When writing benchmarks like this one, it's essential to consider factors such as: * **Input data size**: The size of the input array significantly impacts performance. In this case, the array has 10,000 elements. * **Browser and engine differences**: Different browsers and engines have varying levels of optimization for `flatMap` versus `reduce` with concatenation. * **Testing environment**: Factors like device platform, operating system, and network conditions can affect benchmark results. **Alternative Approaches:** Other approaches to flatten arrays might include: * Using a library like Lodash's `flatten()` function * Implementing custom flattening logic using arrow functions or traditional loops * Utilizing modern JavaScript features like `Array.prototype.flat()` (introduced in ECMAScript 2019)
Related benchmarks:
flatMap vs reduce using push
reduce vs. flatMap v3
Reduce vs flatMap performance
Reduce Push vs. flatMap with subarrays
flatMap vs reduce flattern array
Comments
Confirm delete:
Do you really want to delete benchmark?