Benchmark: Object VS new Set ()

Script Preparation code:

var a = [];
var b = {}

for (var i = 0; i < 1000000; i++) {
    a.push(i);
    b[i] = `${i}`;
}

var set = new Set([...a]);

Tests:

SET
set.has(14500)
Obect
b[14500]

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
SET
Obect

Fastest: N/A

Slowest: N/A

Latest run results:

No previous run results

This benchmark does not have any results yet. Be the first one to run it!

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

LLMs can make mistakes. Check important info.

Let's dive into the world of JavaScript microbenchmarks on MeasureThat.net.

**What is being tested?**

The provided benchmark measures the performance difference between two approaches: using an object (`b`) and creating a new `Set` from an array (`a`). The test case consists of two individual tests:

1. "SET" - Checks if the `Set` data structure contains a specific element (14500).
2. "Object" - Accesses a specific property on the `object` `b`, which is indexed by the key 14500.

**Options being compared**

Two options are being compared:

* **Using an object (`b`)**: This approach uses a JavaScript object to store data, where each element is assigned a value using the syntax `b[i] = `${i}`;`.
* **Creating a new `Set` from an array (`a`)**: This approach creates a new `Set` data structure from an array containing 1 million elements. The `Set` is then used to check if a specific element (14500) exists.

**Pros and Cons of each approach**

**Object Approach:**

Pros:

* Easy to implement, as it only requires creating an object and setting properties.
* Fast lookups using the bracket notation (`b[14500]`) are efficient in JavaScript.

Cons:

* Can lead to slower performance when dealing with large datasets, as objects require more memory and processing power compared to Sets.
* Does not take advantage of the optimized data structure that a `Set` provides for fast lookup and insertion operations.

**Set Approach:**

Pros:

* Provides fast lookup, insertion, and deletion operations, making it suitable for large datasets.
* Optimized data structure can lead to better performance compared to using an object.

Cons:

* Requires more memory overhead due to the creation of a new `Set` object.
* May be slower when inserting or deleting elements in the `Set`, as these operations are not optimized like they are for objects.

**Other considerations**

In JavaScript, objects and Sets have different use cases. Objects are generally used when you need to store data with associated values, where the value is often a function call or another complex operation. On the other hand, Sets are designed for fast lookup and insertion operations, making them ideal for scenarios involving unique elements.

**Library and special JavaScript feature**

The provided benchmark uses no external libraries beyond the standard JavaScript libraries.

**Special JavaScript feature**

No special JavaScript features are used in this benchmark. The focus is on comparing the performance of object-based data structures (objects) with Set-based data structures (Sets).

**Alternatives**

If you're interested in exploring alternative approaches, consider the following:

* Using an array or a custom data structure: Depending on your specific requirements, creating a custom data structure using arrays or other techniques might be more efficient than using objects or Sets.
* Using a hash table implementation: JavaScript's built-in `Map` data structure can serve as a hash table for fast lookups. However, it may not offer the same performance benefits as a native Set when dealing with large datasets.
* Profiling and optimization techniques: Instead of relying solely on the performance differences between objects and Sets, consider using profiling tools to identify performance bottlenecks in your application and applying optimization techniques to address them.

Keep in mind that benchmarking JavaScript code can be complex due to factors like browser variability, caching, and memory allocation. When writing benchmarks, it's essential to account for these factors to ensure accurate results.

Related benchmarks:

Object VS new Set () (version: 0)

Comparing performance of: SET vs Obect

Created: 3 years ago by: Guest

Jump to the latest result

SET

Obect

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):