Benchmark: Tuple versus Object

Script Preparation code:

var COUNT = 100000

Tests:

Tuple
const tuples = [] for(let i = 0; i < COUNT; i++) { tuples.push([i, 0]); }
Object
const objects = [] for(let i = 0; i < COUNT; i++) { objects.push({a: i, b:0}); }

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
Tuple
Object

Fastest: N/A

Slowest: N/A

Latest run results:

Run details: (Test run date: 2 months ago)

User agent: Mozilla/5.0 (Windows NT 10.0; Win64; x64; rv:148.0) Gecko/20100101 Firefox/148.0

Browser/OS: Firefox 148 on Windows

View result in a separate tab

Test name	Executions per second
Tuple	1216.3 Ops/sec
Object	2079.5 Ops/sec

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

LLMs can make mistakes. Check important info.

**What is being tested?**

The provided benchmark measures the performance difference between two data structures in JavaScript: Tuples and Objects. Specifically, it tests the creation and manipulation of large arrays containing pairs of values (for tuples) or objects with key-value pairs (for objects).

**Options compared**

Two approaches are being compared:

1. **Tuples**: An array of pairs, where each pair is an array itself.
2. **Objects**: A collection of key-value pairs.

**Pros and Cons:**

* **Tuples**:
	+ Pros: Tuples can be more memory-efficient than objects for large datasets since they don't require a separate object header and can use primitive types (e.g., numbers) directly.
	+ Cons: Tuples are not native to JavaScript, so their performance might be slower due to the need for array manipulation. Additionally, tuples do not have built-in support for iterating over their elements or accessing them by index.
* **Objects**:
	+ Pros: Objects are widely supported in JavaScript and provide efficient iteration and access mechanisms (e.g., `Object.keys()`, `Object.values()`).
	+ Cons: Objects can be more memory-intensive than tuples due to the overhead of a separate object header and potential overhead from string-to-number conversions for key-value pairs.

**Library usage**

In this benchmark, no external libraries are used. However, it's worth noting that some JavaScript engines might optimize certain features or methods using internal libraries or compiler optimizations.

**Special JS feature or syntax**

This benchmark doesn't use any special JavaScript features or syntax beyond the basic `const` and `let` declarations. It does, however, rely on the existence of arrays and objects in JavaScript, which are fundamental data structures in the language.

**Benchmark preparation code**

The provided preparation code is straightforward:

* For the "Tuple" test case, an array `tuples` is created using a `for` loop that pushes pairs of values onto it.
* For the "Object" test case, an empty array `objects` is initialized and then populated with objects using another `for` loop.

**Other alternatives**

If this benchmark were to be expanded or modified, other data structures or approaches might be considered, such as:

1. **Arrays of primitives**: Using arrays of primitive types (e.g., numbers) instead of tuples or objects.
2. **Set data structure**: Comparing the performance of sets versus both tuples and objects for certain use cases.
3. **Native JavaScript data structures**: Exploring other native JavaScript data structures, such as `Map` or `WeakMap`, which might offer better performance for specific tasks.

Keep in mind that the choice of data structure or approach ultimately depends on the problem domain and the specific requirements of the application.

Related benchmarks:

Tuple versus Object (version: 0)

Comparing performance of: Tuple vs Object

Created: 2 years ago by: Guest

Jump to the latest result

Tuple

Object

Suite status: <idle, ready to run>

Fastest: N/A

Slowest: N/A

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