Benchmark: Array.includes vs Set.has vas Map.has big

Script Preparation code:

var a = [...Array(10000).keys()];
var b = new Set([...Array(10000).keys()]);
var c = new Map([...Array(10000).keys()].map((i) => [i, i]));

Tests:

Array includes
return a.includes(5673);
Set has
return b.has(5673);
Map has
return c.has(5673);

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
Array includes
Set has
Map has

Fastest: N/A

Slowest: N/A

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

LLMs can make mistakes. Check important info.

Let's break down the benchmark and explain what's being tested, the options compared, their pros and cons, and other considerations.

**Benchmark Definition**

The benchmark is designed to compare the performance of three different methods: `Array.includes`, `Set.has`, and `Map.has`. The method being tested is the one that performs an operation on a large dataset (`a`, `b`, or `c`) when searching for a specific value (in this case, 5673).

**Script Preparation Code**

The script preparation code creates three datasets:

1. `a`: An array of 10,000 integers created using `[...Array(10000).keys()]`.
2. `b`: A Set of 10,000 unique integers created by converting the same array to a Set.
3. `c`: A Map with the same key-value pairs as the previous dataset.

These datasets are used for each test case.

**Options Compared**

The three options being compared are:

1. **Array.includes**: This method searches for a value in an array using the `includes()` method.
2. **Set.has**: This method checks if a value exists in a Set using the `has()` method.
3. **Map.has**: This method retrieves the value associated with a key from a Map using the `has()` method.

**Pros and Cons**

1. **Array.includes**:
	* Pros: Simple to implement, widely supported across browsers.
	* Cons: May be slower for large datasets due to the need to iterate over each element.
2. **Set.has**:
	* Pros: Fast and efficient for finding unique values in a dataset.
	* Cons: Requires creating a Set, which may incur additional overhead for smaller datasets.
3. **Map.has**:
	* Pros: Can be faster than `Array.includes` for large datasets due to the Map's data structure optimizations.
	* Cons: Less widely supported across browsers and requires creating a Map.

**Other Considerations**

The test cases are designed to measure the performance of each method in different scenarios. The results will provide insights into which method performs best under various conditions, such as:

* Dataset size
* Number of unique values
* Browser support

**Library Usage (Set and Map)**

In this benchmark, Set and Map are used as data structures to store large datasets. These libraries are built-in to JavaScript and provide efficient ways to work with collections.

**Special JS Feature/Syntax**

None mentioned in the provided information.

Latest run results:

Run details: (Test run date: 6 months ago)

User agent: Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/124.0.0.0 Safari/537.36

Browser/OS: Chrome 124 on Mac OS X 10.15.7

View result in a separate tab

Test name	Executions per second
Array includes	22921128.0 Ops/sec
Set has	27927760.0 Ops/sec
Map has	25914896.0 Ops/sec

Related benchmarks:

Array.includes vs Set.has vas Map.has big (version: 0)

Comparing performance of: Array includes vs Set has vs Map has

Created: 2 years ago by: Guest

Jump to the latest result

Array includes

Set has

Map has

Suite status: <idle, ready to run>

Experimental features:

Fastest: N/A

Slowest: N/A

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