Benchmark: flatten 10 * 24 dimension array with for push vs reduce.concat vs flat() of es2019

Tests:

for push
const data = []; for(let i=0;i<10;i++){ data[i]=[]; for(let j=0;j<24;j++){ data[i][j]=i*10+j; } } var list = []; for(var i=0;i<data.length;i=i+1){ for(var j=0;j<data[i].length;j=j+1){ list.push(data[i][j]); } }
reduce.concat
const data = []; for(let i=0;i<10;i++){ data[i]=[]; for(let j=0;j<24;j++){ data[i][j]=i*10+j; } } const list = data.reduce((pre,current) => {pre.push(...current);return pre},[]);
flat() by es2019
const data = []; for(let i=0;i<10;i++){ data[i]=[]; for(let j=0;j<24;j++){ data[i][j]=i*10+j; } } const list = data.flat()

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
for push
reduce.concat
flat() by es2019

Fastest: N/A

Slowest: N/A

Latest run results:

Run details: (Test run date: 3 years ago)

User agent: Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/92.0.4515.159 Safari/537.36

Browser/OS: Chrome 92 on Linux

View result in a separate tab

Test name	Executions per second
for push	376180.2 Ops/sec
reduce.concat	346310.1 Ops/sec
flat() by es2019	22808.0 Ops/sec

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

LLMs can make mistakes. Check important info.

Let's break down what's being tested in the provided JSON.

**Benchmark Overview**

The benchmark is designed to compare the performance of three different approaches for flattening a 2D array:

1. **for push**: Using a nested loop to iterate through each element and push it onto an external list.
2. **reduce.concat**: Utilizing the `Array.prototype.reduce()` method with a callback function that concatenates the elements of each inner array using the spread operator (`...`).
3. **flat() by es2019**: Leveraging the ES2019 `Array.prototype.flat()` method, which flattens an array to a one-dimensional array.

**Options Comparison**

The three approaches have different pros and cons:

* **for push**:
	+ Pros: Simple, straightforward implementation; doesn't require any additional libraries.
	+ Cons: Inefficient due to the use of multiple loops and external memory allocation for the `list` variable.
* **reduce.concat**:
	+ Pros: More concise and expressive than the `for push` approach; leverages a well-known library function (`Array.prototype.reduce()`).
	+ Cons: Requires additional libraries (not explicitly mentioned in this benchmark) and might incur overhead due to the spread operator (`...`).
* **flat() by es2019**:
	+ Pros: Most efficient approach, as it leverages a built-in method optimized for performance.
	+ Cons: Requires ES2019 support, which may not be available in older browsers or environments.

**Library and Syntax Considerations**

The `reduce()` function is part of the ECMAScript standard and has been supported since ES5. However, the spread operator (`...`) was introduced in ES2018 (ES9).

While neither `for push` nor `flat() by es2019` explicitly uses special JavaScript features or syntax, **reduce.concat** does rely on the spread operator (`...`). The use of this operator might introduce additional overhead or complexity for older browsers that don't support it.

**Alternative Approaches**

Other possible approaches for flattening a 2D array include:

* Using `Array.prototype.map()` and `concat()`: `const list = data.map(subarray => subarray).flat();`
* Utilizing `Array.prototype.forEach()` with a callback function: `const list = []; data.forEach(subarray => { const sublist = []; subarray.forEach(element => { sublist.push(element); }); list.push(sublist); });`
* Leveraging a library like Lodash (`_.flatten()`): `const _ = require('lodash'); const list = _.flatten(data).`

Keep in mind that these alternatives might have varying levels of performance, readability, and compatibility depending on the specific use case.

In conclusion, the benchmark is designed to evaluate the performance of three different approaches for flattening a 2D array. The choice of approach depends on factors like performance requirements, browser support, and personal preference.

Related benchmarks:

flatten 10 * 24 dimension array with for push vs reduce.concat vs flat() of es2019 (version: 0)

for push vs reduce.concat vs flat() of es2019

Comparing performance of: for push vs reduce.concat vs flat() by es2019

Created: 3 years ago by: Guest

Jump to the latest result

for push

reduce.concat

flat() by es2019

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):