Benchmark: Recursion vs While async v2

Script Preparation code:

const response = Array(10000).fill(null).map((item, index) => `foo ${index}`)

const getData = async () => {
	await new Promise(resolve => setTimeout(() => resolve(), 1000))
    return response
}

Tests:

Recursion
let items = [] const getItems = async (nextPage = 0) => { const _res = await getData() items.push(_res) if (nextPage < 5000) { await getItems(nextPage + 1) } }
While
let items = [] const getItems = async (nextPage = 0) => { const _res = await getData() items.push(_res) let _nextPage = nextPage while (_nextPage < 5000) { const _res = await getData() items.push(_res) _nextPage += 1 } }

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
Recursion
While

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/126.0.0.0 Safari/537.36

Browser/OS: Chrome 126 on Windows

View result in a separate tab

Test name	Executions per second
Recursion	55135072.0 Ops/sec
While	52324452.0 Ops/sec

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

LLMs can make mistakes. Check important info.

I'll break down the provided benchmark JSON and explain what's being tested, compared, and considered.

**Benchmark Overview**

The provided JSON represents two individual test cases: Recursion and While, which are variations of fetching data asynchronously using JavaScript. The tests aim to compare the performance of these two approaches on a large dataset.

**Script Preparation Code**

The script preparation code defines a function `getData()` that returns an array of 10,000 elements with indices ranging from 0 to 9,999. This function is used as a placeholder for retrieving data asynchronously.

```javascript
const response = Array(10000).fill(null).map((item, index) => `foo ${index}`)
```

**Benchmark Preparation Code**

The benchmark preparation code is the same for both test cases:

```javascript
const getData = async () => {
    await new Promise(resolve => setTimeout(() => resolve(), 1000))
    return response
}
```

This function simulates an asynchronous data retrieval operation by waiting for 1 second before returning the `response` array.

**Test Cases**

There are two test cases:

### Recursion

```javascript
const getItems = async (nextPage = 0) => {
    const _res = await getData()
    items.push(_res)
    if (nextPage < 5000) {
        await getItems(nextPage + 1)
    }
}
```

This test case uses recursion to fetch the data. The function calls itself recursively until `nextPage` reaches 5000, incrementing the index by 1 each time.

### While

```javascript
const getItems = async (nextPage = 0) => {
    const _res = await getData()
    items.push(_res)
    let _nextPage = nextPage
    while (_nextPage < 5000) {
        const _res = await getData()
        items.push(_res)
        _nextPage += 1
    }
}
```

This test case uses a `while` loop to fetch the data. The loop continues until `_nextPage` reaches 5000, incrementing the index by 1 each time.

**Options Compared**

The two test cases compare:

* **Recursion vs While**: Two different approaches for fetching data asynchronously.
* **Async vs Not async**: Both tests use `async/await`, but the `While` test case uses a synchronous `while` loop to wait for the next iteration, whereas the `Recursion` test case uses asynchronous recursion.

**Pros and Cons**

Here are some pros and cons of each approach:

### Recursion

Pros:

* Easier to implement and understand, especially for smaller datasets.
* Can be more elegant and concise in code.

Cons:

* May lead to stack overflow errors for large datasets due to recursive function calls.
* Can be slower than iterative approaches due to the overhead of recursive calls.

### While

Pros:

* More memory-efficient than recursion, as it doesn't create new stack frames.
* Can be faster than recursive approaches for large datasets.

Cons:

* More complex and harder to understand, especially for those unfamiliar with loops.
* May lead to performance issues if not optimized properly (e.g., using `setTimeout()` or `setInterval()`).

**Library Used**

The test cases use a placeholder library called `getData()`, which is not a real JavaScript library. This function simulates an asynchronous data retrieval operation and is used as a starting point for both tests.

**Special JS Features or Syntax**

There are no special features or syntax mentioned in the benchmark JSON, but it's worth noting that JavaScript has several other features like `Promise.all()`, `async/await` with `try-catch`, and `Promise.resolve()` which can be used to simplify asynchronous code.

Related benchmarks:

Recursion vs While async v2 (version: 0)

Comparing performance of: Recursion vs While

Created: one year ago by: Guest

Jump to the latest result

Recursion

While

Suite status: <idle, ready to run>

Fastest: N/A

Slowest: N/A

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