Benchmark: set.has vs. Object key lookup fork1

Script Preparation code:

var a = ['f', 's', 't', 'fo', 'fi', 'si', 'se', 'e', 'n', 'ten'];
var b = {'f': true, 's': true, 't': true, 'fo': true, 'fi': true, 'si': true, 'se': true, 'e': true, 'n': true, 'ten': true}

Tests:

includes
return a.includes('se')
key lookup
return b['ten']

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
includes
key 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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I'd be happy to help explain the benchmark.

**What is tested:**

The provided JSON represents two individual test cases for JavaScript microbenchmarks on MeasureThat.net:

1. **`set.has vs. Object key lookup fork1`**: This test case compares the performance of using `Set` data structure (`has` method) versus object key lookup.
2. **`includes`** and **`key lookup`**: These are two separate test cases that measure the performance of specific JavaScript operations:
	* `includes`: Measures the performance of using the `includes` method to search for an element in an array.
	* `key lookup`: Measures the performance of accessing a property directly from an object using square bracket notation (`b['ten']`).

**Options compared:**

For each test case, two approaches are being compared:

1. **`Set` data structure**: Using the `has` method to check if an element is present in a `Set`.
2. **Object key lookup**: Directly accessing a property from an object using square bracket notation (`b['ten']`).

**Pros and cons of each approach:**

*   **`Set` data structure (`has` method)**:
    *   Pros:
        *   Fast lookups due to the use of a hash table internally.
        *   Can be more efficient for large datasets.
    *   Cons:
        *   May have higher overhead due to the creation and management of `Set` objects.
        *   Not suitable for all data types (e.g., non-numeric values).
*   **Object key lookup**:
    *   Pros:
        *   Simple and straightforward approach.
        *   Suitable for most data types.
    *   Cons:
        *   May be slower due to the overhead of accessing properties from an object.

**Library and its purpose:**

In this benchmark, no specific JavaScript library is being used. However, the `Set` data structure is a built-in JavaScript object that provides fast lookups for elements.

**Special JS feature or syntax:**

There are no special JavaScript features or syntax mentioned in this benchmark.

**Alternative approaches:**

Other alternatives to compare with the above approaches could include:

*   Using other data structures like arrays, objects, or maps.
*   Implementing custom lookup algorithms (e.g., binary search).
*   Comparing performance using different programming languages or frameworks.

Note that these alternative approaches may not be relevant to this specific benchmark and would require additional setup and testing to determine their performance characteristics.

Related benchmarks:

set.has vs. Object key lookup fork1 (version: 0)

Comparing performance of: includes vs key lookup

Created: 4 years ago by: Guest

Jump to the latest result

includes

key 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):