Benchmark: Map vs Array vs Object has uint32 get speed

Script Preparation code:

var map = new Map();
var arr = [];
var obj = {};

var randomU32 = function() {
	return Math.random() * (1 << 31) >>> 0;
}

var rand = randomU32();
map.set(rand, rand);
arr[rand] = rand;
obj[rand] = rand;

Tests:

Map
map.get(rand);
Array
arr[rand]
Object
obj[rand]

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
Map
Array
Object

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.

**Overview**

The provided benchmark is designed to compare the speed of accessing elements in an array, object, and Map data structures using JavaScript. The test case uses a custom `randomU32` function to generate a random uint32 value and stores it in each data structure.

**Data Structures Compared**

Three data structures are compared:

1. **Array**: An instance of the built-in JavaScript Array class.
2. **Object**: A plain JavaScript object (i.e., an object without any prototype chain).
3. **Map**: An instance of the built-in JavaScript Map class.

Each data structure is initialized with a single random uint32 value, and then the `get` method or indexing syntax is used to retrieve this value from each data structure.

**Options Compared**

The options being compared are:

1. Array indexing (`arr[rand]`)
2. Object property access (`obj[rand]`)
3. Map `get` method (`map.get(rand)`)

These options are being compared in terms of execution speed.

**Pros and Cons of Each Approach**

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

1. **Array Indexing**
	* Pros:
		+ Lightweight, as it only requires accessing an array element.
		+ Fast, as it can be optimized by the JavaScript engine to use array indexing.
	* Cons:
		+ May not be as readable or expressive as other approaches.
2. **Object Property Access**
	* Pros:
		+ More readable and expressive than array indexing.
		+ Can be used with objects that have a prototype chain.
	* Cons:
		+ May incur overhead due to the JavaScript engine's need to look up property names.
3. **Map `get` Method**
	* Pros:
		+ Fast, as it can use a hash table to quickly look up values.
		+ More expressive and readable than array indexing or object property access.
	* Cons:
		+ May not be supported by older browsers or engines.

**Library Used**

None. The benchmark only uses built-in JavaScript data structures and methods (Array, Object, Map).

**Special JS Features/Syntax**

No special JS features or syntax are used in this benchmark. The test case only uses standard JavaScript language features.

**Alternatives**

If you're interested in exploring alternative data structures or methods for accessing elements, here are a few examples:

1. **Set**: A built-in JavaScript Set class that provides fast and efficient membership testing.
2. **Typed Arrays**: A family of classes (e.g., Int32Array, Float64Array) that provide typed, multi-dimensional arrays optimized for specific data types.
3. **WeakMaps**: A Map subclass that provides a way to store weak references to objects.

These alternatives may offer different performance characteristics or trade-offs in terms of memory usage and object identity.

Related benchmarks:

Map vs Array vs Object has uint32 get speed (version: 0)

Comparing performance of: Map vs Array vs Object

Created: 9 years ago by: Guest

Jump to the latest result

Map

Array

Object

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):