Benchmark: Array vs. Set Intersection #3

Script Preparation code:

var first = [1, 3, 4, 5, 7];
var second = [2, 3, 5, 6];

var secondSet = new Set(second);

Tests:

Javascript Set intersection
first.filter(item => secondSet.has(item));
Array intersection
first.filter(item => second.includes(item));

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
Javascript Set intersection
Array intersection

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 benchmarking scenario and explain what's being tested.

**What is being tested?**

The benchmark measures the performance of two different approaches to find the intersection between an array and a set in JavaScript.

1. **Set Intersection**: The first test case uses the `Set` data structure, specifically the `has()` method to check if an element exists in the set.
2. **Array Intersection**: The second test case uses the `includes()` method on the array itself to find the intersection.

**Options compared**

The benchmark compares two different approaches:

1. **Using Set's has() method**: This approach uses the `Set` data structure and its `has()` method to check if an element exists in the set.
2. **Using Array's includes() method**: This approach uses the array itself and its `includes()` method to find the intersection.

**Pros and Cons of each approach**

1. **Set Intersection (has())**:
	* Pros:
		+ More efficient for large datasets, as sets are optimized for fast lookups.
		+ Less memory-intensive compared to using arrays.
	* Cons:
		+ Requires creating a set from the array elements, which can be expensive in terms of memory allocation and copying overhead.
2. **Array Intersection (includes())**:
	* Pros:
		+ Does not require creating an additional data structure (set), which reduces memory overhead.
		+ Often implemented as an O(1) operation for large arrays, making it efficient.
	* Cons:
		+ May be slower for very large datasets due to the linear search approach.

**Library and syntax**

In this benchmark, the `Set` library is used, but no explicit import or syntax is shown. The `Set` data structure is a built-in JavaScript feature introduced in ECMAScript 2015 (ES6).

The `has()` method on sets is a standard method that checks if an element exists in the set.

**Other considerations**

* When dealing with very large datasets, using sets can be more efficient due to their optimized lookups.
* However, creating a set from an array can be expensive in terms of memory allocation and copying overhead.
* The `includes()` method on arrays is often implemented as an O(1) operation for large arrays, making it efficient.

**Other alternatives**

If not using the Set data structure or array's includes() method, other approaches could include:

* Using a custom implementation with binary search or hash-based lookup
* Utilizing a third-party library optimized for set operations (e.g., `lodash` or `ramda`)
* Leveraging specialized JavaScript engines like V8, which provides an optimized implementation of the Set data structure

Keep in mind that these alternatives might not be as efficient or straightforward to implement as using the built-in Set and includes() methods.

Related benchmarks:

Array vs. Set Intersection #3 (version: 0)

Comparing performance of: Javascript Set intersection vs Array intersection

Created: 3 years ago by: Guest

Jump to the latest result

Javascript Set intersection

Array intersection

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):