Benchmark: String split date vs parse date

Script Preparation code:

var dateStrings = Array(10000).fill(null).map(() => (new Date()).toISOString());
var padDate = date => (date < 10 ? `0${date}` : date);

Tests:

Parse Date
dateStrings.map((d) => { const date = new Date(d); return `${padDate(date.getDate())}.${padDate(date.getMonth() + 1)}.${padDate(date.getYear())}`; });
String split
dateStrings.map((d) => { const [year, month, date] = d.split('-'); return `${date}.${month}.${year}`; });

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
Parse Date
String split

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 break down the provided benchmark and explain what is being tested, compared, and other considerations.

**Benchmark Definition**

The provided JSON represents a JavaScript microbenchmarking test case. The goal of this benchmark is to compare two approaches:

1. **Parsing Date using `Date` object**: This approach uses the `Date` constructor to parse the date strings.
2. **Splitting Date String manually**: This approach splits the date string into year, month, and day components using string manipulation.

**Options Compared**

The benchmark compares these two options, which can be seen as different approaches to manipulate and extract data from a date string. The choice of approach affects performance, readability, and maintainability.

**Pros and Cons of Each Approach**

1. **Parsing Date using `Date` object**:
	* Pros:
		+ Concise and readable code.
		+ Utilizes built-in functionality for date manipulation.
	* Cons:
		+ May incur a slight overhead due to the creation of temporary objects.
		+ Limited control over formatting and parsing errors.
2. **Splitting Date String manually**:
	* Pros:
		+ Provides more control over formatting and parsing errors.
		+ Can be more efficient for specific use cases (e.g., avoiding date object overhead).
	* Cons:
		+ Code can become more complex and harder to read.
		+ Requires manual handling of date parsing logic.

**Library Used**

None, as the benchmark does not rely on any external libraries or frameworks.

**Special JS Feature or Syntax**

The benchmark uses a few ES6 features, such as:

* Arrow functions (`=>`)
* Template literals (`\`${...}\``)
* Object destructuring (`const [year, month, date] = d.split('-');`)

These features are widely supported in modern browsers and JavaScript engines.

**Other Considerations**

When writing microbenchmarks like this one, it's essential to consider the following:

1. **Relevance**: Ensure that the benchmark measures what matters most for your specific use case.
2. **Robustness**: Use multiple execution samples (e.g., 10000) to provide a more accurate representation of performance variability.
3. **Device and Environment Variability**: Consider running the benchmark on different devices, browsers, and operating systems to account for varying system resources and behavior.

**Alternatives**

Other alternatives for this type of microbenchmarking include:

1. MicroBenchmark (https://github.com/micro-benchmark/micro-benchmark): A popular JavaScript library for creating microbenchmarks.
2. BenchmarkJS (https://www.benchmarked.js.org/): A comprehensive benchmarking framework for Node.js and browser environments.
3. Google's V8 Benchmark Suite (https://v8.dev/developers/benchmarking/): A set of benchmarks designed to measure the performance of the V8 JavaScript engine.

When choosing an alternative, consider factors such as ease of use, support for multiple execution samples, and adaptability to different device and environment configurations.

Related benchmarks:

String split date vs parse date (version: 0)

Comparing performance of: Parse Date vs String split

Created: 5 years ago by: Guest

Jump to the latest result

Parse Date

String split

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):