Benchmark: Test_123 - MeasureThat.net

Script Preparation code:

var arr = ['1', '2', '3'];

Tests:

test_1
arr.sort()
test_2
arr.map(el => Number(el))

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
test_1
test_2

Fastest: N/A

Slowest: N/A

Latest run results:

No previous run results

This benchmark does not have any results yet. Be the first one to run it!

Autogenerated LLM Summary (model llama3.1:latest, generated one year ago):

LLMs can make mistakes. Check important info.

Let's dive into the world of JavaScript microbenchmarks on MeasureThat.net.

**Benchmark Definition**

The benchmark definition is provided in JSON format, containing information about the test case:

* `Name`: The name of the benchmark, which is "Test_123" in this case.
* `Description`: A brief description of the test case, but it's null in this example.
* `Script Preparation Code`: JavaScript code that prepares the data for the benchmark. In this case, it creates an array `arr` containing three strings: ['1', '2', '3'].
* `Html Preparation Code`: This field is not used in this test case.

**Individual Test Cases**

The individual test cases are listed in a JSON array, each with its own "Benchmark Definition" and "Test Name". In this example, there are two test cases:

1. **Sort Array**
	* Benchmark Definition: `arr.sort()`
	* Test Name: `test_1`

This test case sorts the array `arr` created earlier using the built-in `sort()` method.

2. **Map Array Elements to Numbers**
	* Benchmark Definition: `arr.map(el => Number(el))`
	* Test Name: `test_2`

This test case maps each element in the array `arr` to its numeric equivalent using the `map()` method and a callback function that converts strings to numbers.

**Latest Benchmark Results**

The latest benchmark results show the execution performance of both test cases on a Chrome 108 browser:

1. **Sort Array**
	* Executions per second: approximately 4,184,379.25
2. **Map Array Elements to Numbers**
	* Executions per second: approximately 1,525,254.75

These results indicate that the sort array test case executes about 3 times faster than the map array elements to numbers test case on this particular browser.

**What's Being Tested**

Both test cases are comparing the performance of two different JavaScript methods:

1. **Sort Array**: The built-in `sort()` method, which rearranges the elements in an array based on a comparison function (default: ascending order).
2. **Map Array Elements to Numbers**: The `map()` method with a callback function that converts each string element to its numeric equivalent.

**Pros and Cons**

* `sort()`: Pros:
	+ Easy to use for simple sorting needs.
	+ Well-optimized for performance in modern browsers.
*   Cons: 
    + Can be slow for large datasets or complex sorting requirements.
    + Not suitable for concurrent or parallel execution scenarios.

* `map()` with callback function: Pros:
	+ Highly versatile and can handle complex data transformations.
	+ Suitable for concurrent or parallel execution scenarios.
*   Cons:
    + May have higher overhead due to the creation of a new array.
    + Can be slower than sort() for simple sorting needs.

**Other Considerations**

When choosing between these approaches, consider the following factors:

1. **Data size and complexity**: For small datasets, sort() might be sufficient. However, for larger or more complex data, map() with a callback function can provide better performance.
2. **Concurrent execution requirements**: If you need to execute the operation concurrently or in parallel, map() with a callback function is a better choice.
3. **Development time and simplicity**: If your use case requires simple sorting and you're short on development time, sort() might be the easier option.

**Alternatives**

For array sorting and mapping operations, consider using libraries like Lodash or Underscore.js, which provide optimized implementations for these tasks. Additionally, if you need to perform complex data transformations or concurrent execution, explore other libraries like RxJS (Reactive Extensions) or async/await.

Related benchmarks:

Test_123 (version: 0)

Comparing performance of: test_1 vs test_2

Created: 3 years ago by: Guest

Jump to the latest result

test_1

test_2

Suite status: <idle, ready to run>

Fastest: N/A

Slowest: N/A

No previous run results

Autogenerated LLM Summary (model llama3.1:latest, generated one year ago):