Benchmark: object array access

Script Preparation code:

var o = {x: 1, y: 2, z: 3, u: 4, v: 5};
var k = {x: 1, y: 2, z: 3, u: 4, v: 5};
var a = [1,2,3,4,5];
var b = [1,2,3,4,5];

Tests:

object
for (var i=0; i<10000;i++){ var t = o.x * o.y * o.z * o.u * o.v; }
array
for (var i=0; i<10000;i++){ var t = a[0] * a[1] * a[2] * b[3] * b[4]; }

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):

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Let's break down the benchmark and its options.

**Benchmark Definition**

The benchmark is designed to measure the performance of accessing data from two different sources: objects and arrays. The benchmark consists of three scripts:

1. **Script Preparation Code**: This section initializes variables `o`, `k`, `a`, and `b` with some values. Note that `o` and `k` are objects, while `a` and `b` are arrays.
2. **Html Preparation Code**: There is no HTML preparation code provided, which means the benchmark does not involve rendering HTML content.
3. **Benchmark Definition**: This section contains two individual test cases:
	* "object": This test case measures the performance of accessing data from an object (`o.x`, `o.y`, etc.). The benchmark loops 10,000 times and performs a multiplication operation on each property of the object.
	* "array": This test case measures the performance of accessing data from an array (`a[0]`, `a[1]`, etc.). The benchmark loops 10,000 times and performs a multiplication operation on every other element of the array (starting from the first element).

**Options Compared**

The two options being compared are:

* Accessing data from objects
* Accessing data from arrays

**Pros and Cons**

* **Accessing data from objects**: This approach can be more suitable when dealing with complex, nested object structures. However, it may incur additional overhead due to the need to traverse the object's property graph.
* **Accessing data from arrays**: This approach is often faster since array indices are typically contiguous in memory, reducing cache misses and other performance issues.

**Library Usage**

There is no explicit library usage mentioned in the benchmark definition. However, it's worth noting that some modern JavaScript engines, like V8 (used by Chrome), have optimized features like `let` constants and `const` expressions to improve performance.

**Special JS Features or Syntax**

The benchmark does not explicitly use any special JavaScript features or syntax. However, it's essential to consider the following:

* `for...in` loops can be slow due to the need to iterate over an object's property names.
* Array indexing (e.g., `a[0]`) is generally faster than accessing elements by their indices directly.

**Other Alternatives**

If you were to create a similar benchmark, you might consider adding more test cases or variations to better capture the performance characteristics of your specific use case. Some potential additions could include:

* Accessing data from other types of collections (e.g., Sets)
* Using different data structures (e.g., linked lists)
* Incorporating caching or memoization mechanisms
* Testing with varying array sizes or object depths

Related benchmarks:

object array access (version: 0)

Comparing performance of: object vs array

Created: 5 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):