Benchmark: Hash vs insert - MeasureThat.net

Script Preparation code:

var array = ['banana', 'sausage', 'fork', 'knife', 'test', 'case', 'stomach', 'board', 'fridge', 'chocolate', 'string', 'ben', 'phone', 'laptop', 'screen', 'keyboard', 'mouse', 'mice', 'speakers', 'mic', 'cup', 'coffee', 'pineapple', 'door', 'window', 'bed', 'room', 'dine'];
var hash = {'banana': {'thing': 14}, 'sausage': {'thing': 14}, 'fork': {'thing': 14}, 'knife': {'thing': 14}, 'test': {'thing': 14}, 'case': {'thing': 14}, 'stomach': {'thing': 14}, 'board': {'thing': 14}, 'fridge': {'thing': 14}, 'chocolate': {'thing': 14}, 'string': {'thing': 14}, 'ben': {'thing': 14}, 'phone': {'thing': 14}, 'laptop': {'thing': 14}, 'screen': {'thing': 14}, 'keyboard': {'thing': 14}, 'mouse': {'thing': 14}, 'mice': {'thing': 14}, 'speakers': {'thing': 14}, 'mic': {'thing': 14}, 'cup': {'thing': 14}, 'coffee': {'thing': 14}, 'pineapple': {'thing': 14}, 'door': {'thing': 14}, 'window': {'thing': 14}, 'bed': {'thing': 14}, 'room': {'thing': 14}, 'dine': {'thing': 14}};
var set = new Set (['banana', 'sausage', 'fork', 'knife', 'test', 'case', 'stomach', 'board', 'fridge', 'chocolate', 'string', 'ben', 'phone', 'laptop', 'screen', 'keyboard', 'mouse', 'mice', 'speakers', 'mic', 'cup', 'coffee', 'pineapple', 'door', 'window', 'bed', 'room', 'dine']);

Tests:

Includes
if (!array.includes('spork')){ array.push('spork'); array.push('another push'); }
Hash
hash['spork'] = {'thing':999}

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
Includes
Hash

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.

Measuring performance differences between various approaches is crucial for optimizing code and creating efficient algorithms.

**Benchmark Description:**

The provided benchmark measures the performance difference between two approaches:

1. **Hash vs Insert**: This test case compares the execution time of adding an element to a hash map (using JavaScript's built-in `Object` data structure) versus adding it to a `Set`.
2. **Includes**: This individual test case measures the execution time of using the `includes()` method on an array.

**Options Compared:**

For the "Hash vs Insert" test case, two approaches are compared:

*   Using JavaScript's built-in hash map (`Object` data structure) for fast lookups and insertions.
*   Creating a custom hash table from scratch (not implemented in this benchmark).

As for the "Includes" individual test case, only one approach is tested: using the `includes()` method on an array.

**Pros and Cons of Different Approaches:**

1.  **Hash Map (`Object`) Approach:**
    *   Pros:
        *   Fast lookups and insertions due to hash table implementation.
        *   Built-in JavaScript support makes it easy to implement.
    *   Cons:
        *   May not be as lightweight or memory-efficient for large datasets.

2.  **Custom Hash Table Approach (not implemented in this benchmark):**
    *   Pros:
        *   Potential performance benefits for certain use cases (e.g., caching).
        *   Control over implementation details.
    *   Cons:
        *   Requires manual implementation, which can be error-prone and time-consuming.

3.  **`includes()` Method Approach:**
    *   Pros:
        *   Built-in JavaScript support makes it easy to implement.
        *   Good performance for simple array lookups.
    *   Cons:
        *   May not be optimized for large datasets or performance-critical applications.

**Library and Its Purpose:**

In the provided benchmark, a `Set` data structure is used. A `Set` is a collection of unique values that allows fast membership testing and insertion. It's a built-in JavaScript data structure that provides an efficient way to store and manipulate collections of unique elements.

**Special JS Features/Syntax (not applicable):**

There are no special JavaScript features or syntax used in the provided benchmark.

**Other Alternatives:**

If you need to compare performance differences between other approaches, consider the following alternatives:

*   **Array Spreads:** Using `array = [...array, 'spork']` and `set.add('spork')`.
*   **JSON/Serialization Methods:** Using JSON serialization methods like `JSON.stringify()` or `JSON.parse()`.
*   **Regular Expressions:** Using regular expressions for string matching.

Keep in mind that each alternative has its own set of trade-offs, and the best approach depends on your specific use case.

Related benchmarks:

Hash vs insert (version: 0)

Comparing performance of: Includes vs Hash

Created: 4 years ago by: Guest

Jump to the latest result

Includes

Hash

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):