Benchmark: flatMap() vs filter().map() Bruno

Script Preparation code:

var arr = [];
var i = 0;

while (i <= 400) arr[i] = i++;

Tests:

filter().map()
arr.filter(x => x > 1).map(x => x * 2)
flatMap()
arr.flatMap(x => x <= 1 ? [] : x*2)

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
filter().map()
flatMap()

Fastest: N/A

Slowest: N/A

Latest run results:

Run details: (Test run date: one year ago)

User agent: Mozilla/5.0 (X11; Linux x86_64; rv:109.0) Gecko/20100101 Firefox/111.0

Browser/OS: Firefox 111 on Linux

View result in a separate tab

Test name	Executions per second
filter().map()	104902.1 Ops/sec
flatMap()	177221.1 Ops/sec

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

LLMs can make mistakes. Check important info.

Let's dive into the benchmark!

**What is tested?**

The provided JSON represents two test cases: `flatMap()` and `filter().map()`. The goal of this benchmark is to compare the performance of these two approaches in JavaScript.

**Options compared**

Two options are being compared:

1. **flatMap()**: This method was introduced in ECMAScript 2019 (ES2020) as part of the Array.prototype.flatMap() method.
2. **filter().map()**: This approach involves first filtering an array to remove elements that don't meet a certain condition, and then mapping over the remaining elements.

**Pros and Cons**

**flatMap():**

Pros:

* More concise and expressive code
* Can be faster for large datasets, as it avoids creating intermediate arrays

Cons:

* Only supported in ECMAScript 2019 (ES2020) and later versions
* May not work correctly in older JavaScript engines or environments that don't support this method

**filter().map():**

Pros:

* Widely supported across different JavaScript engines and environments
* Can be more readable for developers who are familiar with the `filter()` and `map()` methods

Cons:

* Creates intermediate arrays, which can lead to increased memory usage and slower performance for large datasets.

**Other considerations:**

When choosing between these two approaches, consider the following factors:

* **Memory constraints:** If you're working with very large datasets, `flatMap()` might be a better choice since it avoids creating intermediate arrays.
* **Code readability:** If you need to write code that's easy for others to understand, `filter().map()` might be a better option since it uses familiar methods.
* **Browser compatibility:** If you need your code to run in older browsers or environments, `filter().map()` is a safer choice.

**Library usage**

There are no libraries mentioned in the provided JSON. However, if any libraries are used in the benchmark, they would be used to set up the test environment and prepare the data.

**Special JavaScript features or syntax**

There are some special JavaScript features used in this benchmark:

* **Template literals:** The `Script Preparation Code` uses template literals to create an array with dynamic values.
* **Arrow functions:** Both benchmarks use arrow functions for concise code.
* **Let and const declarations:** The `Script Preparation Code` uses the `let` and `const` keywords for variable declarations.

**Other alternatives**

If you want to explore alternative approaches, consider the following:

* Using other array methods like `reduce()` or `forEach()`
* Implementing a custom solution using a loop
* Using a different programming paradigm, such as functional programming with currying

Keep in mind that these alternatives might not be suitable for your specific use case and may require more code and maintenance.

Related benchmarks:

flatMap() vs filter().map() Bruno (version: 0)

flatMap vs filter map

Comparing performance of: filter().map() vs flatMap()

Created: one year ago by: Guest

Jump to the latest result

filter().map()

flatMap()

Suite status: <idle, ready to run>

Experimental features:

Fastest: N/A

Slowest: N/A

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