Benchmark: find data in the array by id from another array 2

HTML Preparation code:

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

Script Preparation code:

var arr1 = [];
var arr2 = [];
var obj3 = {}

function generateUUID() { // Public Domain/MIT
    var d = new Date().getTime();//Timestamp
    var d2 = ((typeof performance !== 'undefined') && performance.now && (performance.now()*1000)) || 0;//Time in microseconds since page-load or 0 if unsupported
    return 'xxxxxxxx-xxxx-4xxx-yxxx-xxxxxxxxxxxx'.replace(/[xy]/g, function(c) {
        var r = Math.random() * 16;//random number between 0 and 16
        if(d > 0){//Use timestamp until depleted
            r = (d + r)%16 | 0;
            d = Math.floor(d/16);
        } else {//Use microseconds since page-load if supported
            r = (d2 + r)%16 | 0;
            d2 = Math.floor(d2/16);
        }
        return (c === 'x' ? r : (r & 0x3 | 0x8)).toString(16);
    });
}

for (i = 0; i < 10000; i++) {
  const id = generateUUID();
  var obj = {
     id,
     name: Math.random().toString(36).substr(2, 5)
  };
  arr1.push(id);
  arr2.push(obj)
  obj[id] = 1
}

Tests:

map + find
arr1.map(issuer => arr2.find(d => d.id === issuer))
filter + obj
arr2.filter(a => obj3[a.id])

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
map + find
filter + obj

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.

Let's dive into the provided Benchmark Definition JSON and measure that.net JavaScript microbenchmarks.

**Benchmark Overview**

The benchmark measures the performance of two different approaches:

1. `map + find`
2. `filter + obj`

**What is tested?**

In this benchmark, we're testing how fast JavaScript arrays can be searched using two different methods:

* `arr1.map()` followed by `arr2.find()`: This approach involves mapping over the first array and finding an element in the second array based on a condition. The mapped values are then compared to find a match.
* `arr2.filter()` followed by accessing an object (`obj3`) using an array index: This approach involves filtering the second array to only include elements that satisfy a condition, and then accessing the corresponding value from an object (`obj3`) using an array index.

**Options Compared**

The two options being compared are:

1. **`map + find`**: Mapping over `arr1` and finding an element in `arr2`.
2. **`filter + obj`**: Filtering `arr2` and accessing the corresponding value from `obj3` using an array index.

**Pros and Cons of Each Approach**

Here's a brief analysis of each approach:

1. **`map + find`**:
	* Pros: Can be faster if you need to perform multiple operations on the mapped values.
	* Cons: Requires creating intermediate arrays, which can lead to higher memory usage.
2. **`filter + obj`**:
	* Pros: May be faster since it only involves filtering and accessing a single object value using an array index.
	* Cons: Requires careful consideration of the indexing strategy to avoid unnecessary object lookups.

**Library Used**

The benchmark uses the Lodash library (`lodash.min.js`) for its `find()` function, which is used in the first option (`map + find`). The library is a popular utility library that provides various functions for functional programming and array manipulation.

**Special JS Feature/Syntax**

None of the provided code snippets use any special JavaScript features or syntax. However, it's worth noting that the benchmark uses `const` declarations for variable assignments, which is a recommended practice in modern JavaScript coding.

**Other Alternatives**

If you're interested in exploring alternative approaches or optimizations, here are some options:

1. **Use native `Array.prototype.find()`**: Instead of using Lodash's `find()`, consider using the native `Array.prototype.find()` method, which can be faster and more efficient.
2. **Avoid creating intermediate arrays**: If you don't need to perform multiple operations on the mapped values, consider avoiding intermediate array creation by using in-place operations or iterative approaches.
3. **Use a different indexing strategy**: For the second option (`filter + obj`), experiment with different indexing strategies to find the most efficient way to access `obj3`.

I hope this explanation helps you understand what's being tested and analyzed in the provided Benchmark Definition JSON!

Related benchmarks:

find data in the array by id from another array 2 (version: 0)

Comparing performance of: map + find vs filter + obj

Created: 3 years ago by: Guest

Jump to the latest result

map + find

filter + obj

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):