Benchmark: flatMap vs flat+map

Script Preparation code:

var arr = Array(10_000).fill(0)

Tests:

flatmap
arr.flatMap((x) => [x, x])
map+flat
arr.map((x) => [x, x]).flat()

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
flatmap
map+flat

Fastest: N/A

Slowest: N/A

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

LLMs can make mistakes. Check important info.

Let's break down what's being tested on the provided JSON and explain the different approaches, pros and cons.

**Benchmark Definition**

The benchmark is comparing two approaches to flatten an array of arrays: `flatMap` vs `map + flat`. This means we're testing how efficient JavaScript engines perform these operations on a large array (`10,000` elements) in a loop.

**Script Preparation Code**

The script preparation code creates an array with 10,000 zeros using the `Array` constructor. This is done to ensure consistent input data for both test cases.

**Html Preparation Code**

There's no HTML preparation code provided, which means we can assume that any necessary setup or cleanup is handled by the JavaScript engine itself.

**Individual Test Cases**

We have two individual test cases:

1. **flatMap**: Tests the `flatMap` method on an array of arrays.
2. **map+flat**: Tests a combination of `map` and `flat` methods to achieve the same result as `flatMap`.

**Library Used**

Both `flatMap` and `map` methods are part of the Array prototype in JavaScript, which is why they're not explicitly mentioned as libraries.

**Special JS Feature or Syntax**

None of these test cases use special JavaScript features like async/await, generators, or functional programming constructs beyond basic array methods. They rely solely on standard JavaScript syntax.

**Pros and Cons of Approaches**

1. **flatMap**:
	* Pros: More readable and concise code.
	* Cons: May have performance overhead due to the explicit method call and potential extra function overhead.
2. **map+flat**:
	* Pros: Can be more efficient since it avoids the `flatMap` method call, reducing potential overhead.
	* Cons: Requires two additional method calls (`map` followed by `flat`) and can lead to slightly less readable code.

In general, `flatMap` is often preferred for its readability and simplicity. However, if performance is a concern, using `map+flat` might be a better choice.

**Alternative Approaches**

Other ways to flatten an array of arrays include:

* Using the spread operator (`[...array]`) or `Array.prototype.reduce()`.
* Utilizing libraries like Lodash (e.g., `_.flatten()`).

However, these alternatives may not always offer significant performance benefits over the built-in `flatMap` and `map+flat` methods.

**Benchmark Results**

The latest benchmark results show Firefox 131 performing better for `flatMap`, with an execution rate of 3586.893310546875 executions per second, compared to 2485.316162109375 for `map+flat`. This suggests that the built-in `flatMap` method might be optimized for performance in this specific scenario.

Keep in mind that benchmark results can vary depending on the JavaScript engine, hardware, and other factors. These results are likely a snapshot of a particular environment and may not reflect real-world performance differences.

Latest run results:

Run details: (Test run date: 13 hours ago)

User agent: Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/131.0.0.0 Safari/537.36

Browser/OS: Chrome 131 on Mac OS X 10.15.7

View result in a separate tab

Test name	Executions per second
flatmap	3968.3 Ops/sec
map+flat	3523.5 Ops/sec

Related benchmarks:

flatMap vs flat+map (version: 0)

Comparing performance of: flatmap vs map+flat

Created: one year ago by: Registered User

Jump to the latest result

flatmap

map+flat

Suite status: <idle, ready to run>

Experimental features:

Fastest: N/A

Slowest: N/A

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