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string.split vs toLocaleString("en-GB")
(version: 0)
Comparing performance of:
split vs Date toLocaleString
Created:
3 years ago
by:
Guest
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Script Preparation code:
var dateStr = "2021-08-10T06:00:00.000Z"
Tests:
split
[yyyy,mm,dd,hh,mi] = dateStr.split(/[/:\-T]/) const result =`${dd}/${mm}/${yyyy}, ${hh}:${mi}`
Date toLocaleString
const result = new Date(dateStr).toLocaleString("en-GB")
Rendered benchmark preparation results:
Suite status:
<idle, ready to run>
Run tests (2)
Previous results
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Test case name
Result
split
Date toLocaleString
Fastest:
N/A
Slowest:
N/A
Latest run results:
Run details:
(Test run date:
11 months ago
)
User agent:
Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/136.0.0.0 Safari/537.36
Browser/OS:
Chrome 136 on Mac OS X 10.15.7
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Test name
Executions per second
split
2319332.0 Ops/sec
Date toLocaleString
1282930.1 Ops/sec
Autogenerated LLM Summary
(model
llama3.2:3b
, generated one year ago):
**Overview** MeasureThat.net is a website that allows users to create and run JavaScript microbenchmarks to compare the performance of different approaches. In this case, we're analyzing a benchmark that tests two ways of formatting dates: using `string.split()` versus using `toLocaleString()`. We'll break down what's tested, compared, pros and cons of each approach, and discuss libraries and special JS features used. **Benchmark Definition** The benchmark definition is a JSON object that contains information about the test case: ```json { "Name": "string.split vs toLocaleString(\"en-GB\")", "Description": null, "Script Preparation Code": "var dateStr = \"2021-08-10T06:00:00.000Z\"", "Html Preparation Code": null } ``` The `Script Preparation Code` specifies a sample date string (`dateStr`) that will be used for the test. **Test Cases** There are two individual test cases: ```json [ { "Benchmark Definition": "[yyyy,mm,dd,hh,mi] = dateStr.split(/[/:\\-T]/)\r\nconst result =`${dd}/${mm}/${yyyy}, ${hh}:${mi}`", "Test Name": "split" }, { "Benchmark Definition": "const result = new Date(dateStr).toLocaleString(\"en-GB\")", "Test Name": "Date toLocaleString" } ] ``` Each test case has a `Benchmark Definition` that describes how the date will be formatted and what the resulting code looks like. **What's being tested** In each test case, we're testing the performance of two different approaches: 1. **`string.split()`**: The first test case uses `split()` to extract the individual components (year, month, day, hour, minute) from the date string and then concatenates them into a new string using template literals. 2. **`Date.toLocaleString()`**: The second test case uses the `Date` constructor to parse the date string and then calls `toLocaleString()` with a locale (`en-GB`) to format the date. **Comparison of approaches** Here's a brief comparison of the two approaches: * **`string.split()`**: + Pros: Simple, lightweight, and can be easily implemented by hand. + Cons: Error-prone due to the need to handle different date formats and edge cases. Can also lead to performance issues if not optimized correctly. * **`Date.toLocaleString()`**: + Pros: Efficient, reliable, and widely supported. Provides a standardized way of formatting dates across browsers. + Cons: May have varying output depending on the locale and browser, which can affect performance. **Library used** In this benchmark, the `toLocaleString()` method uses the `Date` API, which is a built-in JavaScript library. This means that no external libraries are required to run the test. **Special JS feature** There's no special JS feature being used in this benchmark beyond the standard features of the languages (JavaScript). **Alternative approaches** Other ways to format dates in JavaScript might include: * Using regular expressions to extract date components * Utilizing a third-party library like Moment.js or Luxon for date manipulation and formatting * Leveraging browser-specific APIs, such as Google's `dateparser` API Keep in mind that each of these alternatives has its own trade-offs in terms of performance, reliability, and complexity. I hope this explanation helps!
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