Benchmark: Array vs Map vs Object

Script Preparation code:

var object = {
  "tags": {
    "required": true,
    "allow_variations": true
  }
}

var array = {
  "tags": ["required", "allow_variations"]
}

var map = {
  "tags": new Map().set('required', true).set('allow_variations', true)
}

Tests:

Object
object.tags.allow_variations
Array
array.tags[array.tags.indexOf('allow_variations')]
Map
map.tags.get('allow_variations')

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
Object
Array
Map

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 benchmark and explain what's being tested.

**Benchmark Definition**

The benchmark is comparing three data structures: objects, arrays, and maps. Specifically, it's measuring the performance of accessing a property called "allow_variations" on each data structure.

**Options Compared**

1. **Object**: Accessing a property using dot notation (`object.tags.allow_variations`).
2. **Array**: Accessing an element by its index (using bracket notation) and then accessing another property (`array.tags[array.tags.indexOf('allow_variations')]`).
3. **Map**: Accessing a value by its key using the `get()` method (`map.tags.get('allow_variations')`).

**Pros and Cons of Each Approach**

1. **Object**:
	* Pros: Simple and straightforward access.
	* Cons: May be slower due to property lookup.
2. **Array**:
	* Pros: Can be faster for large arrays since indexing is an O(1) operation.
	* Cons: More complex syntax, requires additional calculations (indexing).
3. **Map**:
	* Pros: Faster lookups compared to object properties, especially for large datasets.
	* Cons: May require more memory due to the use of a hash table.

**Library and Purpose**

In this benchmark, no specific library is used beyond the built-in JavaScript data structures (objects, arrays, and maps).

**Special JS Features or Syntax**

None mentioned in the provided code snippet.

**Other Considerations**

* The benchmark uses Chrome 75 as the browser, which may affect the results.
* The device platform is set to Desktop, which might not accurately represent real-world usage (e.g., mobile devices).
* The operating system is Mac OS X 10.13.2, which could also impact performance.

**Alternatives**

To test similar benchmarks, you can try using different data structures or algorithms in your own tests. Some alternatives include:

1. Using a different programming language, such as Python or Java.
2. Implementing custom data structures (e.g., linked lists, trees).
3. Comparing the performance of different caching strategies (e.g., LRU cache, memoization).

Keep in mind that benchmarks should be tailored to your specific use case and requirements.

Related benchmarks:

Array vs Map vs Object (version: 0)

Comparing performance of: Object vs Array vs Map

Created: 6 years ago by: Guest

Jump to the latest result

Object

Array

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):