Benchmark: Parse URL domain

Script Preparation code:

window.MY_URL = "http://jblas:password@mycompany.com:8080/mail/inbox?msg=1234&type=unread#msg-content";
window.RX_DOMAIN = /^\w+:\/\/(?:[\w:-]+@)?([^:/#]+)/;

Tests:

URL constructor
const url = new URL(window.MY_URL); window.result = url.hostname;
Naive regexp
window.result = window.MY_URL.match(window.RX_DOMAIN)[1];

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
URL constructor
Naive regexp

Fastest: N/A

Slowest: N/A

Latest run results:

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

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Let's dive into the world of MeasureThat.net and explore what's being tested in this benchmark.

**Benchmark Overview**

The benchmark is designed to measure the performance of two approaches for extracting the domain from a URL: using the `URL` constructor and using a naive regular expression (regexp) approach.

**Script Preparation Code**

The script preparation code sets up a test environment by defining two variables:

* `window.MY_URL`: a sample URL string that includes a username, password, hostname, port, path, query parameters, and an anchor.
* `window.RX_DOMAIN`: a regular expression pattern that matches the domain part of the URL.

**Html Preparation Code**

There is no HTML preparation code provided in this benchmark, which means that the test is focused solely on the JavaScript implementation.

**Benchmark Definition**

The benchmark definition specifies two test cases:

1. **URL constructor**: uses the `URL` constructor to parse the `MY_URL` string and extract the hostname.
2. **Naive regexp**: uses a simple regular expression (`RX_DOMAIN`) to match the domain part of the `MY_URL` string.

**Library**

In this benchmark, we don't have any external libraries being used besides the built-in `URL` constructor in modern JavaScript browsers. The `RX_DOMAIN` variable is a custom regular expression pattern defined within the script.

**Pros and Cons**

Here's a brief analysis of each approach:

* **URL constructor**: This approach provides a more robust and standardized way to parse URLs, as it uses a widely supported API. However, it may be slower than the regexp approach due to its parsing overhead.
* **Naive regexp**: This approach is simpler and faster, but it relies on a custom regular expression pattern that may not cover all possible URL formats. It's also more prone to errors if the pattern doesn't match the expected format.

**Other Considerations**

When considering performance benchmarks like this one, keep in mind the following factors:

* **Browser version**: The benchmark is run on Chrome 69, which might affect the results due to changes in JavaScript engine optimizations or URL parsing algorithms.
* **Device platform and OS**: The test runs on a desktop environment with Windows as the operating system, which may influence performance compared to other platforms (e.g., mobile devices).
* **Execution frequency**: The benchmark measures executions per second, which indicates how fast each approach can process the input data.

**Alternatives**

If you're looking for alternative approaches or testing frameworks similar to MeasureThat.net, consider the following options:

* **Benchmark.js**: a lightweight JavaScript library for running benchmarks.
* **Benchmarklib**: a more comprehensive benchmarking framework that supports multiple languages and platforms.
* **Jest-benchmark**: an integration of Jest with benchmarking capabilities.

These alternatives may offer additional features or flexibility in designing your own benchmarks, but MeasureThat.net's simplicity and focus on JavaScript-specific aspects make it an excellent starting point for comparing performance characteristics.

Related benchmarks:

Parse URL domain (version: 1)

Comparing performance of: URL constructor vs Naive regexp

Created: 7 years ago by: Registered User

Jump to the latest result

URL constructor

Naive regexp

Suite status: <idle, ready to run>

Fastest: N/A

Slowest: N/A

No previous run results

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