Toggle navigation
MeasureThat.net
Create a benchmark
Tools
Feedback
FAQ
Register
Log In
reduce vs flatMap test2
(version: 0)
Comparing performance of:
reduce vs flatMap
Created:
4 years ago
by:
Guest
Jump to the latest result
Script Preparation code:
var arr = new Array(10000).fill([1,2]);
Tests:
reduce
arr.reduce((res,x) => { x.forEach(item => {res.push(item)}) return res; },[]);
flatMap
arr.flatMap(x => x);
Rendered benchmark preparation results:
Suite status:
<idle, ready to run>
Run tests (2)
Previous results
Fork
Test case name
Result
reduce
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 JSON data and explain what's being tested. **Benchmark Definition** The benchmark is defined by two test cases: `reduce` and `flatMap`. The benchmark compares the performance of these two approaches for flattening an array of arrays. **Options Compared** The options compared are: * `reduce`: A method that applies a callback function to each element in the array, accumulating a result. * `flatMap`: A method that returns a new array with the results of applying a provided function to each element in the original array. **Pros and Cons** **Reduce** Pros: * Can be used for transformations that require accumulation of results * Allows for more control over the transformation process Cons: * Can be slower due to the overhead of iterating over each element in the array * Requires manual iteration over elements, which can lead to code complexity **FlatMap** Pros: * Optimized for transformations that result in a new array structure * Reduces code complexity by avoiding manual iteration * Faster execution time compared to `reduce` Cons: * Limited control over the transformation process (the provided function must return an iterable) * Can be less flexible than `reduce` for certain use cases **Library and Special JS Features** There is no explicit library mentioned in the benchmark definition. However, `flatMap` uses a method that is part of the ES6+ standard: the spread operator (`...`) or the `Array.prototype.flatMap()` method. In this case, the `flatMap` test case uses the `flatMap()` method directly on the `arr` array, which is an optimized implementation for modern browsers and engines. The `reduce` test case uses a custom callback function to achieve the same result. **Other Alternatives** If you need to flatten an array of arrays in JavaScript, other alternatives include: * Using a loop with push() or splice() * Utilizing a library like Lodash (which provides a `flatten()` method) * Leveraging a transpiler or compiler that supports ECMAScript 6+ features For this specific benchmark, using `flatMap` is recommended due to its optimized performance and reduced code complexity. However, if you need more control over the transformation process, `reduce` might be a better choice.
Related benchmarks:
Tim's reduce vs flatMap
flatMap vs reduce using push
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?