Benchmark: unicity - MeasureThat.net

HTML Preparation code:

<script src='https://cdn.jsdelivr.net/npm/lodash@4.17.10/lodash.min.js'></script>

Script Preparation code:

var tuples = [];
var uuids = Array(20000)
  .fill(0)
  .map(() => crypto.randomUUID());
for (let i = 0; i < 50000; i++) {
  tuples.push({
    agency_id: uuids[i % uuids.length],
    user_id: uuids[(i + 1) % uuids.length],
    role: 'whatever',
    email: 'whatever',
    phone_number: 'whatever',
  });
}

Tests:

lodash
_.uniqBy( tuples, (a) => a.agency_id + a.user_id )
Custom
tuples.filter(function ({ user_id, agency_id }, key) { return !this.has((key = agency_id + user_id)) && this.add(key); }, new Set())

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
lodash
Custom

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.

I'll break down the benchmark and its options for you.

**Benchmark Overview**

The `unicity` benchmark is designed to measure the performance of two approaches: using Lodash's `uniqBy` function and implementing a custom solution without relying on any external libraries. The benchmark generates 50,000 unique tuples with randomly generated agency_id, user_id, role, email, and phone_number values.

**Options Compared**

The two options being compared are:

1. **Lodash (`_.uniqBy`)**: Lodash is a popular JavaScript library that provides utility functions for tasks like array manipulation, object creation, and more.
2. **Custom implementation**: This approach uses a custom function to filter out duplicate tuples without relying on any external libraries.

**Pros and Cons of Each Approach**

**Lodash (`_.uniqBy`)**

Pros:

* Fast and efficient: Lodash's `uniqBy` function is optimized for performance and can handle large datasets quickly.
* Easy to implement: The function is well-documented, making it easy to understand and use.

Cons:

* External dependency: Using a library like Lodash adds an extra layer of complexity and potential security risks (e.g., version management, compatibility issues).
* Limited control: When using a third-party library, you have limited control over the implementation details.

**Custom implementation**

Pros:

* Control and customization: By implementing the solution yourself, you have full control over the algorithm and can optimize it for your specific use case.
* No external dependencies: This approach eliminates the risk of external library compatibility issues or version management headaches.

Cons:

* More complex: Implementing a custom solution requires more development effort and expertise in JavaScript implementation details.
* Potential performance overhead: Without optimization, a custom solution might be slower than a well-optimized Lodash function.

**Library Explanation (Lodash)**

Lodash is a popular JavaScript library that provides a collection of reusable functions for common tasks, such as:

* Array manipulation
* Object creation and validation
* String manipulation
* Functionality extension (e.g., partial application, bind)

In this benchmark, Lodash's `uniqBy` function is used to remove duplicates from an array based on a specified unique identifier. The function takes two arguments: the array to process and a function that returns the unique identifier for each element.

**Special JS Feature/ Syntax**

There doesn't appear to be any special JavaScript features or syntax being utilized in this benchmark. All operations are standard JavaScript functions and methods (e.g., `Array.prototype.fill`, `String.prototype.concat`).

**Other Alternatives**

If you're looking for alternative approaches, here are a few options:

1. **V8's built-in `Set` data structure**: Instead of using Lodash or implementing a custom solution, you could use JavaScript's built-in `Set` data structure to remove duplicates.
2. **ES6+ features (e.g., `Map`, `WeakMap`)**: Modern browsers support ES6+ features like `Map` and `WeakMap`. These can be used for efficient duplicate removal.
3. **Native implementation in the browser**: Depending on your target platform, you might find that native implementations (e.g., WebAssembly) or specialized libraries provide optimized solutions for specific use cases.

Keep in mind that each alternative has its own trade-offs, and it's essential to evaluate their suitability based on your specific requirements and performance constraints.

Related benchmarks:

unicity (version: 0)

Comparing performance of: lodash vs Custom

Created: 2 years ago by: Guest

Jump to the latest result

lodash

Custom

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):