Benchmark: Map vs Object v1012312312

Script Preparation code:

var map = new Map();
var obj = {};

map.set('a', 5);
obj['a'] = 5;

var i = 0, count = 1000, a;

Tests:

Map lookup
for (i = 0; i < count; i++) { a = map.get('a'); if(a !== 5){ throw new Error(); } }
Obj lookup
for (i = 0; i < count; i++) { a = obj['a']; if(a !== 5){ throw new Error(); } }

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:

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Autogenerated LLM Summary (model llama3.2:3b, generated one year ago):

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**Overview of the Benchmark**

The provided benchmark measures the performance difference between using `Map` and `Object` data structures in JavaScript for lookup operations.

**Options Compared**

Two options are being compared:

1. **Map Lookup**: Using `map.get()` method to retrieve values from a Map object.
2. **Object Lookup**: Using bracket notation (`obj['a']`) or dot notation (`obj.a`) to access properties of an Object.

**Pros and Cons of Each Approach**

### Map Lookup

* **Pros**:
	+ Generally faster than Object lookup, especially for large datasets.
	+ More efficient use of memory, as Maps can handle arbitrary keys (e.g., strings, objects) without the need for a fixed property name.
* **Cons**:
	+ May have additional overhead due to the Map object's internal data structure and methods.

### Object Lookup

* **Pros**:
	+ Often more intuitive and easier to read, especially in smaller datasets or when working with named properties.
	+ Less memory overhead compared to Maps, as only a single property name is stored.
* **Cons**:
	+ Slower than Map lookup for large datasets due to the need to iterate over property names.
	+ Limited flexibility when dealing with arbitrary keys.

**Library and Syntax Considerations**

The benchmark uses JavaScript's built-in `Map` and `Object` data structures. No external libraries are required or mentioned.

There are no specific special JS features or syntax used in this benchmark, other than the use of arrow functions (`=>`) in some places, which is a relatively modern feature introduced in ECMAScript 2015 (ES6). This feature is widely supported across major browsers, including Chrome 92.

**Other Alternatives**

For comparison purposes, other data structures or lookup methods could be used:

* **Array Indexing**: Using array indices (`arr[i]`) to access elements.
* **Sparse Arrays**: Creating an array with only a subset of its indices initialized and then accessing those indices using the same syntax as arrays.
* **Hash Tables** (e.g., `JSON.parse()`): While not directly comparable, hash tables could be used in alternative implementations.

However, these alternatives would likely change the nature of the benchmark significantly, making it less focused on comparing Map vs Object lookup performance.

Related benchmarks:

Map vs Object v1012312312 (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):