Benchmark: Map vs Object - larger

Script Preparation code:

var map = new Map();
var obj = {};

Array(26).fill().map((_, i) => String.fromCharCode(i+97)).forEach((c, i) => {map.set(c, i); obj[c] = i});

var i = 0, count = 1000, a;

Tests:

Map lookup
for (i = 0; i < count; i++) { a = map.get('g'); }
Obj lookup
for (i = 0; i < count; i++) { a = obj['g']; }

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
Map lookup
Obj lookup

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 benchmark definition and test cases.

**Benchmark Definition**

The benchmark definition is a JSON object that describes two test cases: "Map lookup" and "Obj lookup". The script preparation code defines an array of 26 characters (a-z) and creates a new Map and an object with the same keys. Each character is assigned a value from the array using `String.fromCharCode(i+97)`.

**Script Preparation Code**

```javascript
var map = new Map();
var obj = {};
Array(26).fill().map((_, i) => String.fromCharCode(i+97)).forEach((c, i) => {
  map.set(c, i);
  obj[c] = i;
});
```

This code creates a Map and an object with the same keys (a-z) and assigns each character a value from the array.

**Html Preparation Code**

The `Html Preparation Code` field is empty in this benchmark definition. This means that no HTML preparation code is required for this benchmark.

**Individual Test Cases**

There are two test cases:

1. **Map lookup**

```javascript
for (i = 0; i < count; i++) {
  a = map.get('g');
}
```

This test case iterates `count` times, looking up the value of 'g' in the Map.

2. **Obj lookup**

```javascript
for (i = 0; i < count; i++) {
  a = obj['g'];
}
```

This test case also iterates `count` times, looking up the value of 'g' in the object.

**Comparison and Pros/Cons**

The two test cases are comparing the lookup performance of a Map (`map.get()`) versus an object (`obj['g']`). Here's a brief pros/cons analysis:

* **Map**:
	+ Pros:
		- Fast lookups (average O(1) time complexity)
		- Good cache performance
	+ Cons:
		- May have additional overhead for creating the Map
		- Not suitable for large amounts of data due to memory constraints
* **Object**:
	+ Pros:
		- Lightweight and easy to use
		- Suitable for large amounts of data
	+ Cons:
		- Slower lookups (average O(1) time complexity, but can be slower in practice)
		- Poor cache performance

**Libraries and Special Features**

There is no explicit library mentioned in the benchmark definition. However, it's worth noting that `Map` and `Object` are built-in JavaScript objects.

No special features or syntax are used in this benchmark.

**Alternatives**

If you want to explore other alternatives, here are a few options:

* **Hash tables**: You can use a third-party library like Lodash's `mapValues()` function to create a hash table for fast lookups.
* **IndexedDB**: If you need to store large amounts of data, you can consider using IndexedDB, which provides fast and efficient storage for indexed data.
* **Other object types**: Depending on your use case, you might want to explore other object types like `Set` or `WeakMap`, which offer different trade-offs in terms of performance and memory usage.

Keep in mind that these alternatives may require additional setup and configuration, but can provide alternative solutions depending on your specific requirements.

Related benchmarks:

Map vs Object - larger (version: 0)

Lookup of map vs object

Comparing performance of: Map lookup vs Obj lookup

Created: 4 years ago by: Guest

Jump to the latest result

Map lookup

Obj lookup

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):