Benchmark: obj vs arr - MeasureThat.net

Tests:

object
let a = {value: 9, hasBeenModified: true} console.log(a.value) console.log(a.hasBeenModified)
array
let b = [9, true] console.log(b[0]); console.log(b[1]);

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
object
array

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.

I'll provide an explanation of the provided benchmark and its test cases.

**Benchmark Overview**

The MeasureThat.net website allows users to create and run JavaScript microbenchmarks. A benchmark is a piece of code that is executed multiple times to measure its performance. In this case, we have two test cases: "object" and "array".

**Test Cases**

There are only two individual test cases:

1. **Object Test Case**
The first test case measures the performance of accessing properties in an object using dot notation (e.g., `console.log(a.value)`). This test case is represented by a JavaScript code snippet:
```javascript
let a = {value: 9, hasBeenModified: true}
console.log(a.value)
console.log(a.hasBeenModified)
```
The purpose of this test case is to measure the performance of accessing properties in an object using dot notation.

2. **Array Test Case**
The second test case measures the performance of accessing elements in an array using bracket notation (e.g., `console.log(b[0])`). This test case is represented by a JavaScript code snippet:
```javascript
let b = [9, true]
console.log(b[0])
console.log(b[1])
```
The purpose of this test case is to measure the performance of accessing elements in an array using bracket notation.

**Comparison of Options**

In both test cases, we have two options:

* **Dot Notation (Object Test Case)**
	+ Option 1: `a.value` vs `a.hasBeenModified`
	+ Option 2: Accessing properties in the object directly
* **Bracket Notation (Array Test Case)**
	+ Option 1: `b[0]` vs `b[1]`
	+ Option 2: Accessing elements in the array directly

**Pros and Cons of Each Approach**

Here are some pros and cons of each approach:

* **Dot Notation (Object Test Case)**
	+ Pros:
		- Often used in JavaScript code, making it a common benchmark.
		- Can provide insights into object property access performance.
	+ Cons:
		- May not accurately represent real-world usage scenarios.
		- Could be affected by other factors like object property caching or optimization techniques.
* **Bracket Notation (Array Test Case)**
	+ Pros:
		- More representative of real-world array access patterns.
		- Can provide insights into array element access performance.
	+ Cons:
		- May not account for cache effects or other optimizations specific to objects.

**Libraries and Special JS Features**

There are no libraries used in these test cases. However, if we were to extend these tests to include additional libraries or special JavaScript features, it would be essential to consider the following:

* **ES6+ Features**: Adding support for ES6+ features like `const`, `let` declarations, and template literals could provide more accurate results.
* **Function Closures**: Using function closures or arrow functions might affect performance and should be accounted for.

**Other Alternatives**

If you were to create new benchmark test cases, you might consider alternative approaches, such as:

* **JSON Arrays vs Objects**: Comparing the performance of accessing elements in JSON arrays versus objects.
* **Async Operations**: Measuring the performance of asynchronous operations like `setTimeout()` or promises.
* **Array Manipulation**: Benchmarking different array manipulation techniques, like sorting, filtering, or reducing.

These alternatives can help provide a more comprehensive understanding of JavaScript's performance characteristics and identify areas for optimization.

Related benchmarks:

obj vs arr (version: 0)

Comparing performance of: object vs array

Created: 7 years ago by: Guest

Jump to the latest result

object

array

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):