Benchmark: Date.prase vs new Date

Tests:

new Date
new Date("2021-12-16T08:18:27.000+00:00").toLocaleString();
new Date(Date.parse("2021-12-16T08:18:27.000+00:00")).toLocaleString();
Date.prase

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
new Date
new Date(Date.parse("2021-12-16T08:18:27.000+00:00")).toLocaleString();

Fastest: N/A

Slowest: N/A

Latest run results:

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

LLMs can make mistakes. Check important info.

Let's break down the provided benchmark and explain what's being tested, compared, and the pros/cons of different approaches.

**Benchmark Definition**
The benchmark definition is a JSON object that describes how to create a JavaScript benchmark. The key points are:

* "Name": The name of the benchmark.
* "Description": An optional description of the benchmark (empty in this case).
* "Script Preparation Code": A code snippet that needs to be executed before running the benchmark (empty in this case).
* "Html Preparation Code": Another code snippet that needs to be executed before running the benchmark (empty in this case).

**Individual Test Cases**
The test cases are defined as an array of objects, each representing a single test. The key points are:

* "Benchmark Definition": A string that describes how to create the JavaScript benchmark.
* "Test Name": The name of the test.

In this case, we have two tests:

1. `new Date("2021-12-16T08:18:27.000+00:00").toLocaleString();`
2. `Date.parse("2021-12-16T08:18:27.000+00:00")` followed by the same `toLocaleString()` call as in test 1.

**What's being tested?**
The benchmark is testing the performance of creating a new Date object and calling its `toLocaleString()` method, using two different approaches:

* Approach 1: Using the `new Date()` constructor to create a new Date object and then calling `toLocaleString()`.
* Approach 2: Using the `Date.parse()` function to parse a string representing a Date and then creating a new Date object from it, followed by the same `toLocaleString()` call.

**Options compared**
The benchmark is comparing the performance of these two approaches:

* `new Date("string")` vs `Date.parse("string")`
* The use of `toLocaleString()` method in both approaches

**Pros and Cons of different approaches**

1. **Approach 1: `new Date()```**
	* Pros:
		+ Easy to read and understand.
		+ Does not require parsing a string as a string.
	* Cons:
		+ May be slower due to the overhead of creating a new Date object.
2. **Approach 2: `Date.parse()`` followed by `new Date()`**
	* Pros:
		+ Can potentially be faster since it only involves parsing the string once, and then using the parsed value to create a new Date object.
	* Cons:
		+ Requires two function calls, which may incur additional overhead.

**Library usage: None**

There is no external library being used in this benchmark.

**Special JS feature or syntax**
The `toLocaleString()` method is being used, but it's not a special feature of modern JavaScript. It's a standard method that has been available since ECMAScript 1.0 (1997). However, the use of this method might be less common nowadays due to the availability of more modern and flexible date formatting options.

**Other alternatives**

Other alternatives for creating dates in JavaScript include:

* Using `new Date(string)` with a valid string representation of a date.
* Using a library like Moment.js or Luxon, which provide more advanced date parsing and formatting capabilities.

However, it's worth noting that the use of `Date.parse()` followed by `new Date()` is not as common in modern JavaScript development, and its use may be considered less idiomatic.

Related benchmarks:

Date.prase vs new Date (version: 0)

Comparing performance of: new Date vs new Date(Date.parse("2021-12-16T08:18:27.000+00:00")).toLocaleString();

Created: 3 years ago by: Guest

Jump to the latest result

new Date

new Date(Date.parse("2021-12-16T08:18:27.000+00:00")).toLocaleString();

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):