Benchmark: Map vs Object lookup part 5 - all string index

Script Preparation code:

var map = new Map();
var obj = {};
let a;
for (let i = 0;i < 100000; i++) {
	map.set(`${i}`, i);
  	obj[`${i}`] = i;
}

Tests:

Map Lookup
for (let i = 0; i < 10000; i++) { a = map.get(`${i}`); }
Object lookup
for (let i = 0; i < 10000; i++) { a = obj[`${i}`]; }

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
Map Lookup
Object 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):

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Let's dive into the explanation of the provided benchmark.

**Benchmark Purpose**

The purpose of this benchmark is to compare the performance of two data structures in JavaScript: Maps and objects. Specifically, it tests how fast they can perform lookups using string indices.

**Script Preparation Code**

The script preparation code sets up a Map and an object, both initialized with 100,000 key-value pairs. The keys are strings generated by concatenating the numbers 0 through 99,999. This ensures that both data structures have to search for each value when looking up a specific key.

**Html Preparation Code**

There is no HTML preparation code provided, which means this benchmark does not test anything related to rendering or layout.

**Individual Test Cases**

The benchmark consists of two individual test cases:

1. **Map Lookup**: This test case iterates 10,000 times and for each iteration, it looks up a value in the Map using the `get()` method.
2. **Object lookup**: This test case is similar to the first one, but instead of using a Map, it uses an object to look up values.

**Comparison of Approaches**

The two approaches being compared are:

* Using a Map (`Map.get()`) for lookups
* Using an object (`obj[key]`) for lookups

**Pros and Cons**

Here's a brief summary of the pros and cons of each approach:

* **Map Lookup (Map.get())**
	+ Pros:
		- Fast lookups, as Maps use hash tables internally.
		- Efficient memory usage, as Maps store keys and values in a compact format.
	+ Cons:
		- May require more memory to store the Map, especially for large datasets.
* **Object Lookup (obj[key])**
	+ Pros:
		- Less memory required compared to using a Map.
		- Can be useful when working with existing object-based data structures.
	+ Cons:
		- Slower lookups due to the need to iterate through the object's properties.

**Library Usage**

There is no library usage in this benchmark, as it only relies on built-in JavaScript features (Map and object).

**Special JS Features or Syntax**

No special JS features or syntax are used in this benchmark. It's a straightforward comparison of two basic data structure lookups.

**Other Alternatives**

If you're interested in exploring alternative approaches, here are a few options:

* Using a Set for lookups
* Using an array and indexing (e.g., `array[index]`)
* Using a custom lookup data structure, like a Trie or a BTree

Keep in mind that the choice of approach depends on the specific use case and requirements.

**Benchmark Considerations**

When interpreting benchmark results, consider factors such as:

* The size of the dataset
* The type of values being stored (e.g., strings, numbers, objects)
* The frequency of lookups
* The underlying hardware and software architecture

Related benchmarks:

Map vs Object lookup part 5 - all string index (version: 0)

Comparing performance of: Map Lookup vs Object lookup

Created: 4 years ago by: Guest

Jump to the latest result

Map Lookup

Object 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):