Benchmark: ae4da6d46qsd4sd - MeasureThat.net

Script Preparation code:

var map = new Map();
var obj = {};

map.set('a', 5);
obj['a'] = 5;

var i = 0, count = 1000, a;

Tests:

Map lookup
const x = new Map() x.set('y', 1000)
Obj lookup
const x = {} x.y = 1000

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
Map lookup
Obj lookup

Fastest: N/A

Slowest: N/A

Latest run results:

No previous 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 break down the explanation into smaller, manageable chunks.

**Benchmark Definition json**

The provided JSON represents a JavaScript benchmarking test case. It includes the following essential elements:

*   **Name and Description**: A unique name for the benchmark and its description.
*   **Script Preparation Code**: This is the JavaScript code that sets up the environment before running the actual benchmark. In this case, it creates an empty `Map` object (`var map = new Map();`) and an empty `Object` object (`var obj = {};`). It then populates these objects with key-value pairs to be used in the benchmark.
*   **Html Preparation Code**: This is optional and not used in this specific test case.

**Options being compared**

In this benchmark, two different approaches are compared:

1.  **Object Lookup (Obj lookup)**: This involves using the `obj` object created earlier with a property access (`x.y = 1000`) to retrieve a value.
2.  **Map Lookup (Map lookup)**: This involves using the `map` object created earlier with the `set()` method to store key-value pairs and then accessing them.

**Pros and Cons of different approaches**

*   **Object Lookup (Obj lookup)**:
    *   Pros:
        *   Generally faster than Map lookup because it doesn't require iterating over keys.
        *   Often more cache-friendly, as property accesses are typically faster due to caching mechanisms in JavaScript engines.
    *   Cons:
        *   Less flexible and less suitable for large datasets, as it relies on explicit property names.

*   **Map Lookup (Map lookup)**:
    *   Pros:
        *   More flexible and scalable, as map keys can be dynamically generated or reused.
        *   Suitable for large datasets, as maps provide efficient iteration over keys.
    *   Cons:
        *   Often slower than object lookup due to the overhead of iterating over keys in the map.

**Special JS feature/ syntax**

The benchmark doesn't use any special JavaScript features or syntax. It's designed to be straightforward and easy to understand for a wide range of software engineers.

**Alternative approaches**

Other approaches that could be used in similar benchmarks include:

*   **Array Lookup**: Instead of using objects or maps, you could use arrays with indexed access (`arr[index] = 1000; arr[index]`) to compare lookup performance.
*   **Sparse Objects/Maps**: You could create sparse objects or maps with a subset of keys to simulate partial data sets and evaluate the performance impact of different indexing strategies.

Keep in mind that the choice of approach depends on the specific requirements of your benchmark, such as data distribution, expected size, and desired test characteristics.

Related benchmarks:

ae4da6d46qsd4sd (version: 0)

Lookup of map vs object

Comparing performance of: Map lookup vs Obj lookup

Created: 4 years ago by: Guest

Jump to the latest result

Map lookup

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):