Benchmark: Array vs Object Search2

Script Preparation code:

var list = [];
var obj = {};

for (var i = 0; i < 10; i++) {
        list[i] = `Testing...${i}`
        obj[`Testing...${i}`] = `Testing...${i}`
    }

Tests:

Array
for (var i = 0; i < 10; i++) { const a = `Testing...${i}` for (var z = 0; i < 10; i++) { if (a === list[z]) { const b = list[z]; break; } } }
Object
for (var i = 0; i < 10; i++) { const a = `Testing...${i}` for (var i = 0; i < 10; i++) { const b = obj[a] } }

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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Let's break down the provided benchmark.

**Benchmark Definition**

The benchmark is designed to compare the performance of searching for an element in two different data structures: arrays and objects.

**Options being compared**

Two options are being compared:

1. **Array Search**: The first test case uses a nested loop approach to search for an element in an array. The inner loop iterates over each element in the array, and if the element matches the target value, it breaks out of the loop.
2. **Object Search**: The second test case uses a simple iteration over object keys to find the index of a property with a matching value.

**Pros and Cons**

* **Array Search**:
	+ Pros: Can be faster for large arrays with sparse data, as it only iterates over the relevant elements.
	+ Cons: Can be slower for dense arrays or when the target element is near the beginning of the array, due to the nested loop structure.
* **Object Search**:
	+ Pros: Typically faster and more efficient than array search, especially for dense objects or when searching by key.
	+ Cons: May be slower for sparse objects or large datasets, as it requires iterating over all keys.

**Library and purpose**

None of the test cases use a specific library, but they do rely on built-in JavaScript features:

* **Array.prototype.indexOf()**: Not used in this benchmark, but typically used to find the index of an element in an array.
* **Object.keys()**: Used in the object search test case to iterate over the keys of an object.

**Special JS feature or syntax**

The `break` statement is used in both test cases to exit the loop when the target element is found. This is a built-in JavaScript feature that allows for early termination of loops.

**Other alternatives**

To improve performance, other approaches could be considered:

* **Using Array.prototype.includes()**: Instead of using a nested loop, you can use `Array.prototype.includes()` to find an element in an array.
* **Using Object.keys().forEach()**: Instead of iterating over object keys, you can use `Object.keys().forEach()` to iterate over both the keys and values of an object.

These alternatives might offer better performance profiles, but they also introduce additional overhead or dependencies on modern JavaScript features.

Related benchmarks:

Array vs Object Search2 (version: 0)

Comparing performance of: Array vs Object

Created: 5 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):