Benchmark: Large but empty Array versus Small Object (Creation wise)

Tests:

Array
let array = []; for (let i = 0 ; i < 10 ; i++) { const index = Math.floor (Math.random () * 10000); array[index] = 1; }
Object
let object = {}; for (let i = 0 ; i < 10 ; i++) { const index = Math.floor (Math.random () * 10000); object[index] = 1; }

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
Array
Object

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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Measuring JavaScript performance is crucial for optimizing web applications. Let's break down the provided benchmark and explain what's being tested, compared, and considered.

**Benchmark Definition**

The provided JSON represents a benchmark definition with two test cases:

1. "Large but empty Array versus Small Object (Creation wise)"
2. Two individual test cases:
	* "Array"
	* "Object"

These test cases aim to measure the performance of creating large arrays and objects in JavaScript, specifically focusing on creation.

**Options Compared**

The benchmark is comparing two approaches:

1. **Creating a large array using a loop**: This involves creating an empty array and then populating it with 10 random elements.
2. **Creating a small object using a loop**: This involves creating an empty object and then populating it with 10 random properties.

**Pros and Cons of Each Approach**

**Array Creation:**

Pros:

* Arrays are commonly used data structures in JavaScript, making this test case more relatable to real-world scenarios.
* Loops can be optimized for better performance.

Cons:

* Creating a large array can lead to memory allocation issues if not managed properly.
* If the loop is not optimized, it can result in slower performance.

**Object Creation:**

Pros:

* Objects are also commonly used data structures in JavaScript, making this test case relevant as well.
* Object creation might be more efficient due to caching and internal optimizations.

Cons:

* Not all browsers optimize object creation equally, which can lead to variations in performance results.

**Other Considerations**

1. **Memory allocation**: Both array and object creations involve memory allocation. However, objects have additional overhead due to the need to manage property names and values.
2. **Browser optimizations**: Different browsers optimize JavaScript engine features differently, leading to variations in performance results across different platforms.
3. **Loop optimization**: The choice of loop (e.g., `for`, `while`) can impact performance.

**Library Usage**

None of the provided benchmark definitions explicitly mention using any libraries. However, it's essential to note that some JavaScript engines or libraries might introduce additional overhead when creating arrays or objects.

**Special JS Features or Syntax**

There are no special JS features or syntax mentioned in these benchmarks. The test cases focus on basic array and object creation.

**Benchmark Results**

The provided benchmark results show the performance of each approach across different browsers:

| Test Case | Executions Per Second |
| --- | --- |
| Array | 138,547.40625 (Chrome 114) |
| Object | 132,617.328125 (Chrome 114) |

These results indicate that creating an array might be slightly faster than creating an object in this specific benchmark.

**Alternatives**

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

1. **Using WebAssembly**: This technology can provide significant performance improvements for computationally intensive tasks.
2. **Benchmarking other data structures**: Test cases could be created to measure performance of other data structures like sets, maps, or graphs.
3. **Optimizing specific scenarios**: Focus on optimizing specific JavaScript engine features, such as array or object literals, functions, or closures.

Keep in mind that the choice of alternative benchmarks depends on your specific goals and requirements.

Related benchmarks:

Large but empty Array versus Small Object (Creation wise) (version: 0)

Comparing performance of: Array vs Object

Created: 2 years ago by: Guest

Jump to the latest result

Array

Object

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):