Benchmark: Map lookup more count increase

Script Preparation code:

var map = new Map();
var obj = {};

map.set('a', 5);
obj['a'] = 5;

var i = 0, count = 10000, a;

Tests:

Map lookup more count increase
for (i = 0; i < count; i++) { a = map.get('a'); }
Obj lookup
for (i = 0; i < count; i++) { a = obj['a']; }

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
Map lookup more count increase
Obj lookup

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.

Let's break down the provided benchmark and explain what's being tested.

**Benchmark Purpose**

The benchmark is designed to compare the performance of two different data structures: Maps (JavaScript objects) and regular objects, specifically their lookup operations.

**Options Compared**

There are two test cases:

1. **Map Lookup**: This option tests the lookup operation on a Map object. A Map is an object that stores key-value pairs and allows for efficient lookup, insertion, and deletion of elements.
2. **Object Lookup**: This option tests the lookup operation on a regular JavaScript object.

**Pros and Cons of Each Approach**

* **Map Lookup**:
	+ Pros: Maps provide fast lookups due to their hash-based indexing, which allows for O(1) time complexity on average. This makes them suitable for applications that require frequent lookups.
	+ Cons: Maps are more complex and slower to initialize compared to regular objects.
* **Object Lookup**:
	+ Pros: Regular objects are simpler to work with and require less memory overhead than Maps.
	+ Cons: Object lookup is slower due to the linear search algorithm, which has a time complexity of O(n).

**Library Used**

There is no explicit library mentioned in the benchmark definition or test cases. However, it's likely that the `Map` object is an internal implementation detail of JavaScript, as it provides similar functionality to regular objects but with faster lookups.

**Special JS Feature/Syntax**

The benchmark uses a common JavaScript feature called **var declaration**, which allows for variable hoisting and scoping. The use of `var` instead of `let` or `const` can lead to unexpected behavior in some cases, especially when dealing with closures or function scope.

**Other Alternatives**

If you wanted to test similar benchmarks on other data structures, you could consider using:

* Sets (similar to Maps but without values)
* Arrays
* WeakMaps (a subset of Maps that allows for garbage collection)

Keep in mind that each data structure has its strengths and weaknesses, and the choice of which one to use depends on the specific requirements of your application.

**Benchmark Preparation Code**

The preparation code sets up a Map object with a single key-value pair (`map.set('a', 5)`), an empty regular object (`obj = {}`), and initializes variables for the benchmark (`i = 0`, `count = 10000`, `a = null`). This ensures that both test cases start with the same initial state.

**Individual Test Cases**

The two test cases are identical in structure, but they use different data structures to perform a single lookup operation. The first test case uses the Map object (`map.get('a')`), while the second test case uses the regular object (`obj['a']`).

Related benchmarks:

Map lookup more count increase (version: 0)

Lookup of map vs object

Comparing performance of: Map lookup more count increase vs Obj lookup

Created: 6 years ago by: Guest

Jump to the latest result

Map lookup more count increase

Obj lookup

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):