Benchmark: array concat and search

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 = Array(1000).fill(Math.floor(Math.random() * 9));
var b = Array(1000).fill(Math.floor(Math.random() * 9));
var c = Array(1000).fill(Math.floor(Math.random() * 9));
var d = Array(1000).fill(Math.floor(Math.random() * 9));
var username = 20

Tests:

concat
a.concat(b,c,d).includes(username)
plain
(a.includes(username) == false && b.includes(username) == false && c.includes(username) == false && d.includes(username) == false)
set
new Set([...a, ...b, ...c, ...d]).has(username)

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
concat
plain
set

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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Let's break down the provided JSON and explain what is tested in each benchmark.

**Benchmark Definition**

The `Script Preparation Code` section generates four arrays, `a`, `b`, `c`, and `d`, each filled with random numbers between 0 and 8. The `Html Preparation Code` includes a reference to the Lodash library, which provides utility functions for working with arrays.

**Individual Test Cases**

The three test cases are designed to compare different approaches for searching if an array contains a specific value, `username`. Here's what each test case is testing:

1. **"concat"`: This test case uses the `concat` method to concatenate the four arrays into one and then checks if the concatenated array includes the `username`.
2. **"plain"`: This test case uses a simple approach by checking each individual array for the presence of `username`. If any of the arrays don't contain it, the test returns true.
3. **"set"`: This test case creates a Set object from the concatenated arrays using the spread operator (`...`) and then checks if the Set includes the `username`.

**Options Compared**

The three test cases compare different approaches to search for an element in an array:

* **Concatenation**: The `concat` method is used to combine multiple arrays into one. This approach can be inefficient if the concatenated array becomes very large.
* **Plain iteration**: The "plain" test case uses individual iterations over each array, which can be slower due to the overhead of checking each element individually.
* **Set**: The "set" test case creates a Set object from the concatenated arrays, which allows for efficient lookups using the `has` method. However, creating a Set object may have additional overhead compared to concatenating arrays.

**Pros and Cons**

Here's a brief summary of the pros and cons of each approach:

* **Concatenation**: Pros - simple to implement, can be fast for small arrays. Cons - inefficient for large concatenated arrays.
* **Plain iteration**: Pros - simple to implement, suitable for small arrays. Cons - slow due to individual iterations over each array.
* **Set**: Pros - efficient lookups, suitable for large datasets. Cons - creates an additional object with overhead.

**Library and Special JS Features**

The Lodash library is used in the `Html Preparation Code` section. Lodash provides utility functions for working with arrays, including the `concat` method used in the "concat" test case.

There are no special JS features mentioned in the provided code.

**Alternatives**

Other alternatives to compare when searching for an element in an array include:

* Using a `for...in` loop or `forEach` method to iterate over each array.
* Using a `reduce` method to sum up elements from multiple arrays.
* Using a `filter` method to create a new array with only the desired elements.

These alternatives may have different performance characteristics and trade-offs compared to the approaches tested in this benchmark.

Related benchmarks:

array concat and search (version: 0)

performance comparison of ways to find if an array contains a value

Comparing performance of: concat vs plain vs set

Created: 5 years ago by: Guest

Jump to the latest result

concat

plain

set

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):