Benchmark: Map vs Object part 3

Script Preparation code:

var map = new Map();
var obj = {};
let a;
for (let i = 0;i < 100000; i++) {
	map.set(i, i);
  	obj[`${i}`] = i;
}

Tests:

Map lookup
for (let i = 0; i < 10000; i++) { a = map.get(i); }
Obj lookup
for (let i = 0; i < 10000; i++) { a = obj[`${i}`]; }

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):

LLMs can make mistakes. Check important info.

Let's break down the provided benchmark and explain what's being tested.

**Benchmark Overview**

The benchmark compares two approaches: looking up values in an object (`obj`) versus using a `Map` data structure to store and retrieve values.

**Script Preparation Code**

The script preparation code creates an empty map (`map`) and an object (`obj`). It then populates both the map and the object with 100,000 key-value pairs, where the key is a unique integer (`i`) and the value is also the same integer. The purpose of this step is to create a large dataset for testing.

**Individual Test Cases**

There are two test cases:

1. **Map Lookup**: This test case measures the time it takes to look up values in the map using the `get()` method, iterating 10,000 times.
2. **Object Lookup**: This test case measures the time it takes to look up values in the object using property access (`obj[i]`), iterating 10,000 times.

**Pros and Cons of Each Approach**

**Map Lookup**

Pros:

* Map operations are generally faster than array indexing for large datasets.
* Maps provide a more efficient way to store and retrieve data when the keys are unique or have a specific ordering.

Cons:

* Map operations can be slower for small datasets due to the overhead of creating and maintaining the map.
* The `get()` method may have some overhead due to its iterative nature.

**Object Lookup**

Pros:

* Object lookup is generally faster than map lookup for small datasets.
* Property access is often optimized by browsers, resulting in faster performance.

Cons:

* Object operations can be slower for large datasets due to the overhead of creating and maintaining the object.
* Property access may not provide a way to efficiently store or retrieve data when the keys are unique or have a specific ordering.

**Library Used**

In this benchmark, no external libraries are used. However, if the test cases were to use a library like Lodash or Ramda, it might impact the performance of the tests. The choice of library would depend on the specific requirements and constraints of the project.

**Special JavaScript Feature**

There is no special JavaScript feature mentioned in this benchmark. The focus is on comparing the performance of two fundamental data structures (maps and objects) in JavaScript.

**Other Alternatives**

Other alternatives to maps and objects for storing and retrieving data include:

1. **Arrays**: While not as flexible as maps or objects, arrays can be used for simple key-value pairs.
2. **Sets**: Sets are a data structure that only stores unique values, making them suitable for situations where duplicates need to be avoided.
3. **Linked Lists**: Linked lists are a dynamic data structure that allows efficient insertion and deletion of nodes at both ends.

The choice of data structure ultimately depends on the specific requirements and constraints of the project, including factors like performance, memory usage, and complexity.

Related benchmarks:

Map vs Object part 3 (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):