Benchmark: Bench flat map vs spread reduce

Script Preparation code:

var arr = Array(10_000).fill([0,0,0])

Tests:

spread
arr.reduce((acc, item) => { acc.push(...item); return acc; }, []);
flatmap
arr.flatMap((item) => { return item; });

Historical Performance Data aggregated from 6 community runs

Desktop Results:

Chrome 6 runs

spread

3K/s

flatmap

2K/s

Fastest: spread (1.6x faster)

View exact numbers

✓ spread: 2,995 ops/sec
• flatmap: 1,866 ops/sec

Results show median performance across all community submissions. Run this benchmark yourself to verify on your device.

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
spread
flatmap

Fastest: N/A

Slowest: N/A

Latest run results:

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

User agent: Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/133.0.0.0 Safari/537.36

Browser/OS: Chrome 133 on Windows

View result in a separate tab

spread

4K/s

flatmap

2K/s

View exact numbers

Test name	Executions per second
✓ spread	3,501 Ops/sec
flatmap	1,969 Ops/sec

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 is comparing the performance of two JavaScript array methods: `reduce()` with spreading (`...`) and `flatMap()`. The test case consists of creating an array of 10,000 elements with three zeros each, and then measuring the time taken to execute these arrays using both methods.

**Options Compared**

There are two options being compared:

1. **`arr.reduce((acc, item) => {\r\n            acc.push(...item);\r\n            return acc;\r\n        }, [])`**: This method uses `reduce()` to iterate over the array and accumulate the results in a new array. The spreading operator (`...`) is used to flatten the inner arrays into a single array.
2. **`arr.flatMap((item) => {\r\n    return item;\r\n})`**: This method uses `flatMap()` to iterate over the array and return a new array with the flattened elements.

**Pros and Cons**

*   **`reduce()` with spreading**: This approach can be useful when you need to accumulate results in a new array. However, it may not be the most efficient way to flatten an array because of the overhead of creating a new array.
*   **`flatMap()`**: This approach is specifically designed for flattening arrays and is more efficient than using `reduce()` with spreading.

However, `flatMap()` can also lead to performance issues if the input array is large due to its nature of creating a new array on every execution.

**Library and Purpose**

Neither of these methods rely on any external libraries. They are built-in JavaScript functions.

**Special JS Feature or Syntax**

There are no special JavaScript features or syntax mentioned in this benchmark. The code only uses standard JavaScript syntax.

**Alternatives**

Other alternatives for flattening arrays include using `Array.prototype.flat()` (available in modern browsers and Node.js) or creating a custom function to achieve the same result.

```javascript
// Using flat()
arr.flatMap(item => item).forEach(console.log);

// Custom implementation
function flatten(arr, result = []) {
    arr.forEach(item => {
        if (Array.isArray(item)) {
            flatten(item, result);
        } else {
            result.push(item);
        }
    });
    return result;
}

flatten(arr);
```

Keep in mind that the `flat()` method has some limitations, such as only flattening two levels deep by default. The custom implementation provides more control over the flattening process.

Overall, this benchmark is useful for comparing the performance of different array methods in JavaScript and helping developers make informed decisions about which approach to use depending on their specific requirements.

Bench flat map vs spread reduce (version: 0)

Comparing performance of: `spread vs flatmap`

Created: 4 years ago by: Guest

Go to the latest result

spread

flatmap

Historical Performance Data aggregated from 6 community runs

Desktop Results:

Chrome 6 runs

Suite status: <idle, ready to run>

Fastest: N/A

Slowest: N/A

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

Bench flat map vs spread reduce (version: 0)

Comparing performance of: spread vs flatmap

Created: 4 years ago by: Guest

Go to the latest result

spread

flatmap

Historical Performance Data aggregated from 6 community runs

Desktop Results:

Chrome 6 runs

Suite status: <idle, ready to run>

Fastest: N/A

Slowest: N/A

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

Related benchmarks

Comparing performance of: `spread vs flatmap`