Benchmark: FlatMap vs for v3

Script Preparation code:

var smallArray = [1,2,3,4,5,6,7,8,9,0];
var largeArray = Array.from(Array(10000).keys())
var farr;

Tests:

FlatMap
farr = smallArray.flatMap(item => item % 2 === 0 ? [item] : [])
For
const length = smallArray.length for (var i=0;i < length;i++) { if (smallArray[i] % 2 === 0) { farr.push(smallArray[i]); } }
FlatMap large
farr = largeArray.flatMap(item => item % 2 === 0 ? [item] : [])
For large
const length = largeArray.length for (var i=0;i < length;i++) { if (largeArray[i] % 2 === 0) { farr.push(largeArray[i]); } }

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
FlatMap
For
FlatMap large
For large

Fastest: N/A

Slowest: N/A

Latest run results:

No previous run results

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Autogenerated LLM Summary (model llama3.2:3b, generated one year ago):

LLMs can make mistakes. Check important info.

Let's break down the provided JSON and explain what's being tested, compared, and considered in this JavaScript microbenchmark.

**Benchmark Definition**
The benchmark is comparing two approaches to iterate over an array: `flatMap` (also known as "array flatMap") and traditional `for` loop with indexing. The goal is to determine which approach is faster.

**Script Preparation Code**
The script creates two arrays:

* `smallArray`: a small array containing numbers from 1 to 10.
* `largeArray`: an array of 10,000 numbers generated using `Array.from(Array(10000).keys())`.

The `farr` variable will be used to store the results of each iteration.

**Html Preparation Code**
This field is empty in this benchmark definition, which means there's no HTML involved.

**Individual Test Cases**
There are four test cases:

1. **FlatMap**: The first test case uses the `flatMap` method on `smallArray`. This method returns a new array with all sub-arrays concatenated into it.
2. **For**: The second test case uses a traditional `for` loop to iterate over `smallArray`.
3. **FlatMap large**: The third test case repeats the same approach as Test Case 1, but using `largeArray`.
4. **For large**: The fourth test case repeats the same approach as Test Case 2, but using `largeArray`.

**Libraries and Features**
None of the provided benchmark definitions use any external libraries or special JavaScript features.

**Other Considerations**

* The benchmark is likely designed to measure performance differences between array iteration methods in modern JavaScript engines.
* By comparing two approaches with varying input sizes (small vs. large arrays), the test can gauge the scalability of each method.

**Alternatives**
To measure array iteration performance, you could also use benchmarks like:

1. JSMAS (JavaScript Micro Benchmark Suite)
2. jsperf
3. benchmarks written in languages like C++ or Java

These alternatives might provide more comprehensive insights into different aspects of JavaScript performance.

In summary, this benchmark is designed to compare the performance of two array iteration methods: `flatMap` and traditional `for` loops. By testing both approaches with small and large input arrays, we can evaluate their scalability and determine which one is faster in modern JavaScript engines.

Related benchmarks:

FlatMap vs for v3 (version: 2)

Comparing performance of: FlatMap vs For vs FlatMap large vs For large

Created: 5 years ago by: Registered User

Jump to the latest result

FlatMap

For

FlatMap large

For large

Suite status: <idle, ready to run>

Fastest: N/A

Slowest: N/A

No previous run results

Autogenerated LLM Summary (model llama3.2:3b, generated one year ago):