Benchmark: set.has vs. array.includes vs obj[key] vs map.get 2

Script Preparation code:

function shuffle(array) {
  let currentIndex = array.length,  randomIndex;

  // While there remain elements to shuffle...
  while (currentIndex != 0) {

    // Pick a remaining element...
    randomIndex = Math.floor(Math.random() * currentIndex);
    currentIndex--;

    // And swap it with the current element.
    [array[currentIndex], array[randomIndex]] = [
      array[randomIndex], array[currentIndex]];
  }

  return array;
}

var a = shuffle(Array(100000).fill(undefined).map((_, i) => i));
var b = a.reduce((acc, el) => { acc[el] = true; return acc }, {});
var c = new Set(a);
var d = new Map(a.map(el => [el, true]));
var elements = [1, 100, 1000, 24, 56, 78, 23, 5643, 863, 2679, 9999, 45, 5832, 7510, 3756];

Tests:

includes
return elements.map(el => a.includes(el))
hash
return elements.map(el => b[el])
set
return elements.map(el => c.has(el))
map
return elements.map(el => d.get(el))

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
includes
hash
set
map

Fastest: N/A

Slowest: N/A

Latest run results:

No previous 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 JSON and explain what is tested on the website, along with the pros and cons of different approaches.

**Benchmark Definition**

The benchmark defines four test cases:

1. `set.has`
2. `array.includes`
3. `obj[key]` (assuming an object `a` created using the `shuffle` function)
4. `map.get`

These tests compare the performance of four different data structures and methods to check for membership in a list: Sets, arrays, objects, and Maps.

**Data Structures and Methods**

Here's what each test case checks:

1. `set.has`: Checks if an element is present in a Set.
2. `array.includes`: Checks if an element is present in an array using the `includes` method.
3. `obj[key]`: Checks if an element is present in an object by accessing its key-value pair using bracket notation (`obj[key]`). (Note: This assumes that the object `a` has been shuffled and populated with unique elements.)
4. `map.get`: Checks if an element is present in a Map.

**Options Compared**

The benchmark compares the performance of these four approaches:

* **Sets**: A data structure that stores unique values. It provides fast membership testing.
* **Arrays**: A data structure that stores ordered collections of values. The `includes` method is used for membership testing.
* **Objects**: A data structure that stores key-value pairs. Bracket notation (`obj[key]`) is used to access elements by their keys.
* **Maps**: A data structure that stores key-value pairs with fast lookup times.

**Pros and Cons**

Here's a brief summary of the pros and cons of each approach:

1. **Sets**:
	* Pros: Fast membership testing, good cache locality.
	* Cons: May not be suitable for all use cases (e.g., when elements need to be ordered or have multiple keys).
2. **Arrays**:
	* Pros: Easy to implement and understand, good for ordered data.
	* Cons: Membership testing can be slower than Sets due to the `includes` method's implementation.
3. **Objects**:
	* Pros: Convenient for accessing elements by their names (keys), easy to implement.
	* Cons: Slow membership testing due to bracket notation's overhead.
4. **Maps**:
	* Pros: Fast lookup times, convenient access to values using keys.
	* Cons: May not be suitable for all use cases (e.g., when elements need to be ordered).

**Library and Special Features**

The benchmark uses the `shuffle` function from the Lodash library to shuffle an array of unique elements. It also assumes that the object `a` has been created using this shuffled array.

No special features or syntax are used in this benchmark.

**Alternatives**

If you're looking for alternatives to these approaches, consider:

* Using a `Set` data structure instead of an array for fast membership testing.
* Implementing your own `includes` method on arrays or objects for better performance.
* Using a library like Lodash or Ramda that provides optimized implementations of these functions.

Keep in mind that the choice of approach depends on your specific use case and requirements.

Related benchmarks:

set.has vs. array.includes vs obj[key] vs map.get 2 (version: 0)

Comparing performance of: includes vs hash vs set vs map

Created: 4 years ago by: Guest

Jump to the latest result

includes

hash

set

map

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):