Benchmark: IntersectionwithLodashVSCustom

HTML Preparation code:


<script src='https://cdnjs.cloudflare.com/ajax/libs/lodash.js/4.17.5/lodash.min.js'></script>

Script Preparation code:

var a = [],
    b = [],
    c = [],
    d = [],
    i;
for (i = 0; i < 1000; i++) {
    a.push(Math.floor(Math.random() * 1000) + 1);
    b.push(Math.floor(Math.random() * 1000) + 1);
  	c.push(Math.floor(Math.random() * 1000) + 1);
  	d.push(Math.floor(Math.random() * 1000) + 1);
}

Tests:

Lodash
_.intersection(a,b,c,d);
CustomObjectBased
var intersection = (function(){ return function(){ var len = arguments.length; var here = [...arguments]; let hashObject = {}; let returnarr=[]; for(var i=0;i<len;i++){ if(!i) here[i].forEach(num => hashObject[num] = i); else{ here[i].forEach(num=>{ if(hashObject.hasOwnProperty(num) && hashObject[num] === i-1){ hashObject[num]=i; if(i===len-1) returnarr.push(parseInt(num)) } }) } } return returnarr; } }()); intersection(a,b,c,d);

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
Lodash
CustomObjectBased

Fastest: N/A

Slowest: N/A

Latest run results:

No previous run results

This benchmark does not have any results yet. Be the first one to run it!

Autogenerated LLM Summary (model llama3.2:3b, generated one year ago):

LLMs can make mistakes. Check important info.

Let's dive into the world of JavaScript microbenchmarks on MeasureThat.net.

**Benchmark Definition JSON**

The provided benchmark definition represents two different approaches to implementing the `intersection` function, which is used to find common elements between multiple arrays.

1. **Lodash**: The first test case uses the built-in `_.intersection` function from the Lodash library. This function takes an array of arrays as input and returns a new array containing only the elements that are present in all arrays.
2. **Custom Object-Based**: The second test case defines its own implementation of the `intersection` function, which creates a hash object to store the indices of each element in the input arrays.

**Options Compared**

The two test cases compare the performance of using an existing library (Lodash) versus implementing a custom solution.

**Pros and Cons of Each Approach**

**Custom Object-Based:**

Pros:

* Flexibility: Allows developers to understand and control every aspect of the implementation.
* Learning opportunity: Can help developers learn about hash tables, JavaScript's built-in data structures, and optimization techniques.

Cons:

* Performance: May be slower than using a well-optimized library like Lodash due to the overhead of manual index calculations and array iteration.
* Code complexity: Requires more code and logic to implement correctly, which can make it harder to maintain and debug.

**Lodash:**

Pros:

* Performance: Typically faster since it's implemented in C++ and optimized for performance.
* Convenience: Provides a simple and convenient way to perform the intersection operation without requiring manual implementation.

Cons:

* External dependency: Requires including Lodash as an external library, which can add complexity to the project.
* Limited control: May not provide fine-grained control over the underlying algorithm or optimization techniques used by the library.

**Library Used**

In this case, the `_.intersection` function is implemented in C++ and wrapped by Lodash. It uses a technique called "bitap" (bitwise AND and shift) to efficiently find common elements between arrays.

**Special JavaScript Features or Syntax**

None of the provided test cases use any special JavaScript features or syntax that would require additional explanation.

**Alternatives**

Other alternatives for implementing the `intersection` function include:

* Using JavaScript's built-in `filter()` method in combination with `every()` to achieve a similar result.
* Implementing a custom solution using JavaScript's `Map` data structure and iterating over each array element.
* Utilizing libraries like TypeScript or Flow, which provide additional type checking and optimization features.

Keep in mind that the performance benefits of using an existing library like Lodash may not be significant for small projects or simple use cases. In such cases, a custom implementation might be sufficient or even preferable from a learning perspective.

Related benchmarks:

IntersectionwithLodashVSCustom (version: 0)

Comparing performance of: Lodash vs CustomObjectBased

Created: 5 years ago by: Registered User

Jump to the latest result

Lodash

CustomObjectBased

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):