Benchmark: testgreg - MeasureThat.net

Tests:

test1
var params = [ {a: "test"}, {a: "test"}, {a: "test"}]; var other = params.map(el => el);
test2
var params = [ {a: "test"}, {a: "test"}, {a: "test"}]; var other = params.concat();

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
test1
test2

Fastest: N/A

Slowest: N/A

Latest run results:

Run details: (Test run date: 2 years ago)

User agent: Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/121.0.0.0 Safari/537.36

Browser/OS: Chrome 121 on Mac OS X 10.15.7

View result in a separate tab

Test name	Executions per second
test1	30935218.0 Ops/sec
test2	31868824.0 Ops/sec

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

LLMs can make mistakes. Check important info.

Measuring JavaScript performance is a fascinating topic!

Let's break down the provided JSON data and explain what's being tested.

**Benchmark Definition**

The `Benchmark Definition` section defines the script that will be executed to test the performance of various algorithms or techniques. In this case, we have two test cases:

1. `test1`: This benchmark definition uses the `map()` method to create a new array from an existing one.
2. `test2`: This benchmark definition uses the `concat()` method to concatenate multiple arrays.

**Options being compared**

The main options being compared are:

* `map() vs concat()`: These two methods achieve different results, but also have different performance characteristics.
	+ `map()`: Creates a new array by applying a provided function to each element of an existing array. It's generally faster and more memory-efficient than `concat()`, especially for large datasets.
	+ `concat()`: Concatenates multiple arrays into one array. It's often used when working with older browsers that don't support `map()`.

**Pros and Cons**

* **map():**
	+ Pros:
		- Faster execution time
		- More memory-efficient (no need to create a new array)
		- Can be more readable code
	+ Cons:
		- May not work in older browsers that don't support `map()`
		- Requires a callback function, which can add complexity to the code
* **concat():**
	+ Pros:
		- Works in all modern browsers (including older versions of Internet Explorer)
		- Simple and easy to understand
	+ Cons:
		- Slower execution time compared to `map()`
		- Requires creating a new array, which can consume more memory

**Other considerations**

* **Array iteration**: Both methods are designed for iterating over arrays. However, `map()` is often preferred when working with large datasets or performance-critical code.
* **Browser support**: As mentioned earlier, some older browsers may not support the `map()` method. In such cases, `concat()` might be a better choice.

**Library and special JS feature**

There are no libraries explicitly mentioned in this benchmark definition. However, if we assume that the `map()` and `concat()` methods are being used to optimize performance or memory usage, we can consider them as part of the standard JavaScript API.

If you'd like to explore alternative approaches, some other options could be:

* Using `forEach()` instead of `map()` or `concat()`
* Utilizing modern ES6+ features like `Array.prototype.filter()`, `Array.prototype.reduce()`, or `Array.prototype.every()`
* Leveraging libraries like Lodash or Underscore.js for array manipulation and optimization
* Investigating alternative data structures, such as using a single array with indices instead of separate arrays

Keep in mind that the choice of method often depends on the specific requirements of your project, including performance, memory usage, and browser support.

I hope this explanation helps you understand the benchmark being tested!

Related benchmarks:

testgreg (version: 0)

Comparing performance of: test1 vs test2

Created: 2 years ago by: Guest

Jump to the latest result

test1

test2

Suite status: <idle, ready to run>

Fastest: N/A

Slowest: N/A

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