Benchmark: flatmap vs reduce test2

Script Preparation code:

var arr = Array(10000).fill().map(() => Math.round(Math.random() * 2))

Tests:

reduce
const result = arr.reduce((acc, val) => { if(val === 1) acc.push(val) return acc } , [])
flatmap
const result = arr.flatMap((val) => { if(val !== 1) return [] return val })

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

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):

LLMs can make mistakes. Check important info.

Let's break down the benchmark and explain what's being tested.

**Benchmark Overview**

The benchmark compares the performance of two JavaScript methods: `reduce` and `flatMap`. Both methods are used to process an array, but they achieve this in different ways.

**Options Compared**

In this benchmark, we have two main options:

1. **Array.prototype.reduce()**: This method applies a reduction function to each element in the array, accumulating a result.
2. **Array.prototype.flatMap()**: This method flattens an array of arrays or returns an array with the results of applying a provided function on every element in this array.

**Pros and Cons**

* **Reduce()**:
	+ Pros: Can be used for both aggregation and transformations.
	+ Cons: May have higher performance overhead due to the need to iterate over each element individually, as it uses a callback function.
* **FlatMap()**:
	+ Pros: More concise and readable than reduce(), especially when dealing with multiple levels of nesting.
	+ Cons: May have lower performance overhead due to the use of array methods, which can lead to additional iterations.

**Library Usage**

In this benchmark, we don't see any explicit library usage. Both `reduce()` and `flatMap()` are built-in JavaScript methods.

**Special JS Features or Syntax**

We don't notice any special JavaScript features or syntax being used in this benchmark. The code is straightforward and follows standard JavaScript conventions.

**Other Alternatives**

For transforming arrays, other alternatives to `reduce()` and `flatMap()` include:

* Using `forEach()`: This method executes a function on each element of an array.
* Using a `for` loop: This can be more explicit but also less concise than using array methods.
* Using libraries like Lodash or Underscore.js (which provide similar functionality)

**Benchmark Preparation Code**

The script preparation code creates an array of 10,000 random integers, each with a value between 0 and 1.

**Individual Test Cases**

We have two test cases:

1. **Reduce()**: This test case uses the `reduce()` method to accumulate an array of values where each element is equal to 1.
2. **FlatMap()**: This test case uses the `flatMap()` method to flatten an array of arrays, returning only elements where the value is not equal to 1.

The benchmark results show that the Chrome browser performs better for the `reduce()` test, while the execution time is significantly lower for the `flatmap()` test.

Related benchmarks:

flatmap vs reduce test2 (version: 0)

Comparing performance of: reduce vs flatmap

Created: 2 years ago by: Guest

Jump to the latest result

reduce

flatmap

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):