Benchmark: Compare options - MeasureThat.net

Script Preparation code:

var counties = ["The Stewartry of Kirkcudbright",
"Lanarkshire",
"County Down",
"Berkshire",
"Gwynedd",
"Derbyshire",
"Inverness",
"East Lothian",
"Nairn",
"Dunbartonshire",
"Berwickshire",
"Banffshire",
"Hertfordshire",
"Midlothian",
"East Sussex",
"East Riding of Yorkshire",
"Clackmannan",
"Orkney",
"Stirling and Falkirk",
"Moray",
"Caithness",
"Lancashire",
"Merseyside",
"County Armagh",
"Somerset",
"Greater London",
"Worcestershire",
"Western Isles",
"Argyll and Bute",
"Perth and Kinross",
"Leicestershire",
"City of Aberdeen",
"County Tyrone",
"Kincardineshire",
"City of Edinburgh",
"Rutland",
"Northumberland",
"Norfolk",
"Suffolk",
"Dorset",
"Gwent",
"Greater Manchester",
"South Glamorgan",
"Bristol",
"Shetland",
"Devon",
"Aberdeenshire",
"Durham",
"Oxfordshire",
"Wigtown",
"County Fermanagh",
"South Yorkshire",
"Clwyd",
"Isle of Wight",
"City of Dundee",
"Tyne and Wear",
"Nottinghamshire",
"Warwickshire",
"North Yorkshire",
"County Antrim",
"Gloucestershire",
"Renfrewshire",
"Mid Glamorgan",
"Lincolnshire",
"Hampshire",
"City of Glasgow",
"Herefordshire",
"Sutherland",
"West Lothian",
"Cheshire",
"Wiltshire",
"Essex",
"Tweeddale",
"Shropshire",
"Cornwall",
"West Yorkshire",
"Dyfed",
"Bedfordshire",
"Roxburgh, Ettrick and Lauderdale",
"West Midlands",
"Staffordshire",
"Isle of Man",
"Powys",
"County Derry / Londonderry",
"Buckinghamshire",
"Surrey",
"Northamptonshire",
"Angus",
"Dumfries",
"Cumbria",
"West Glamorgan",
"Cambridgeshire",
"Fife",
"Ross and Cromarty",
"Kent",
"Ayrshire and Arran",
"West Sussex"]

Tests:

LocaleCompare
counties.sort((a, b) => a.localeCompare(b))
Vanilla
counties.sort((a, b) => a > b ? 1 : -1)

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
LocaleCompare
Vanilla

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.

**Benchmark Overview**

The benchmark is comparing two approaches to compare strings in JavaScript: `localeCompare` (a built-in method) and a vanilla comparison using arithmetic operators (`>`, `-1`).

**Options Being Compared**

There are two options being compared:

1. **`localeCompare`**: This method is part of the JavaScript Standard Library and is designed to perform a locale-aware string comparison. It takes into account factors like language, script, and country codes to provide more accurate comparisons.
2. **Vanilla Comparison**: This approach uses arithmetic operators (`>`, `-1`) to compare strings. The idea is that if `a` is greater than `b`, the result will be `1`. If `a` is less than or equal to `b`, the result will be `-1`.

**Pros and Cons of Each Approach**

* **`localeCompare`**:
	+ Pros:
		- Provides locale-aware comparisons, reducing the risk of cultural bias.
		- Can handle non-ASCII characters and languages with complex sorting rules.
	+ Cons:
		- May have performance overhead due to its implementation details.
		- Requires JavaScript engine support for locale-aware comparisons.
* **Vanilla Comparison**:
	+ Pros:
		- Typically faster than `localeCompare` since it's a simple arithmetic operation.
		- Does not rely on the JavaScript engine or locale settings.
	+ Cons:
		- May produce incorrect results due to cultural bias and non-ASCII characters.
		- Requires explicit handling of edge cases (e.g., null, undefined, NaN).

**Library Used: None**

The benchmark does not use any external libraries, only built-in JavaScript features.

**Special JS Features/Syntax: None**

There are no special JavaScript features or syntax used in the benchmark. The focus is on comparing strings using two different approaches.

**Other Alternatives**

If you need to compare strings with additional functionality, consider using a library like ` ICU4J` or ` moment.js`, which provide more comprehensive string comparison and formatting capabilities.

To improve performance, you can also explore other optimizations, such as:

* Using a custom sorting algorithm that takes advantage of the input data's structure.
* Leveraging SIMD (Single Instruction, Multiple Data) instructions for parallel processing.
* Optimizing the code for specific use cases or platforms.

Related benchmarks:

Compare options (version: 0)

LocaleCompare vs vanilla comparison

Comparing performance of: LocaleCompare vs Vanilla

Created: 3 years ago by: Guest

Jump to the latest result

LocaleCompare

Vanilla

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):