Benchmark: reduce spread vs flat()

Tests:

reduce + spread
var params = [[ 1, 2 ], [ "hello", true, 7 ]]; var other = params.reduce((acc, val) => [...acc, ...val], []);
Array.prototype.flat
var params = [[1, 2, params], [ "hello", true, 7 ]]; var other = params.flat();

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
reduce + spread
Array.prototype.flat

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/86.0.4240.198 Safari/537.36

Browser/OS: Chrome 86 on Linux

View result in a separate tab

Test name	Executions per second
reduce + spread	5430033.5 Ops/sec
Array.prototype.flat	591082.2 Ops/sec

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

LLMs can make mistakes. Check important info.

I'd be happy to explain the benchmark and its various components.

**Benchmark Definition**

The benchmark is defined in JSON format, which provides information about the test case. Here's what we can extract from it:

* The name of the benchmark is "reduce spread vs flat()".
* A brief description explains that this benchmark compares the new ES6 spread operator with the traditional `concat()` method.
* There are no script preparation code or HTML preparation code provided, which means that the test cases rely on pre-existing JavaScript libraries and do not require any custom setup.

**Test Cases**

The benchmark consists of two individual test cases:

1. "reduce + spread":
	* The benchmark definition is a JavaScript expression that uses the `reduce()` method to concatenate arrays using the spread operator (`...`).
	* The purpose of this test case is to measure the performance of the `reduce()` method with the spread operator.
2. "Array.prototype.flat":
	* The benchmark definition is a JavaScript expression that calls the `flat()` method on an array.
	* This test case measures the performance of the `flat()` method.

**Options Compared**

The two test cases compare two different approaches to concatenating arrays:

1. **Reduce with spread operator**: This approach uses the `reduce()` method with the spread operator (`...`) to concatenate arrays.
2. **Array.prototype.flat**: This approach uses the `flat()` method, which is a more recent addition to the ECMAScript standard.

**Pros and Cons of Each Approach**

Here are some pros and cons for each approach:

1. **Reduce with spread operator**:
	* Pros:
		+ More flexible than traditional `concat()`, as it can handle arrays of arbitrary depth.
		+ Less memory-intensive, since it avoids creating new intermediate arrays.
	* Cons:
		+ May have performance overhead due to the use of the `reduce()` method.
2. **Array.prototype.flat**:
	* Pros:
		+ More concise and expressive than traditional `concat()`.
		+ Optimized for performance in modern browsers.
	* Cons:
		+ Requires support for ECMAScript 2019 features (e.g., flat() method).
		+ May not work as expected with certain edge cases or array structures.

**Library Usage**

Both test cases rely on the following JavaScript libraries/libraries-like-structures:

1. **Array**: The built-in `Array` type is used to represent arrays.
2. **Reduce**: The `reduce()` method is a part of the Array prototype, which is used to perform the concatenation operation.

**Special JS Feature/Syntax**

There are no special JavaScript features or syntaxes used in these test cases. They rely solely on standard ECMAScript functionality.

**Other Alternatives**

Alternative approaches to concatenating arrays could include:

1. Using `concat()` with intermediate array creation.
2. Using `Array.prototype.push.apply()`.
3. Using a custom implementation of array concatenation using loops and indexing.

However, these alternatives are likely to be less efficient or more verbose than the methods used in the benchmark test cases.

Related benchmarks:

reduce spread vs flat() (version: 0)

Compare the new ES6 spread operator with the traditional concat() method

Comparing performance of: reduce + spread vs Array.prototype.flat

Created: 3 years ago by: Guest

Jump to the latest result

reduce + spread

Array.prototype.flat

Suite status: <idle, ready to run>

Experimental features:

Fastest: N/A

Slowest: N/A

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