Benchmark: Sort numbers with vs without arguments

Script Preparation code:

var input = [];
for (var i = 0; i < 1_000_000; i++) {
  input[i] = Math.round(Math.random() * 1000000);
}

Tests:

Sort without arguments
input.sort()
Sort with arguments
input.sort((a,b) => a-b)

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
Sort without arguments
Sort with arguments

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 world of JavaScript microbenchmarks!

**What is being tested?**

The provided JSON represents two benchmark cases: sorting an array of numbers with and without providing a custom comparison function.

**Options compared:**

There are two main options being compared:

1. **Sorting without arguments**: The built-in `sort()` method without any additional arguments. This means the default behavior will be used, which is to sort the array in ascending order based on the string representation of each element.
2. **Sorting with arguments**: Using a custom comparison function with the `sort()` method by providing an arrow function as the second argument.

**Pros and Cons:**

*   **Sorting without arguments:**
    *   Pros:
        *   Faster execution, as no additional overhead is introduced by using a custom comparison function.
        *   Easier to understand and implement for simple sorting cases.
    *   Cons:
        *   May not provide accurate results if the array contains non-numeric or special characters that can be compared in unexpected ways.
*   **Sorting with arguments:**
    *   Pros:
        *   Provides more control over the comparison process, allowing for custom logic and handling of edge cases.
        *   Suitable for sorting complex data structures like arrays of objects.
    *   Cons:
        *   Slower execution due to the additional overhead introduced by using a custom comparison function.

**Library usage:**

In this benchmark, no specific library is used beyond what comes with JavaScript. However, it's essential to note that some browsers might have polyfills or implementations for certain features that could potentially affect the results.

**Special JS feature or syntax:**

No special JavaScript features or syntax are mentioned in the provided JSON. The focus seems to be on comparing the performance of two straightforward sorting methods.

**Benchmark preparation code:**

The `Script Preparation Code` section creates an array of 1,000,000 random numbers using the `Math.round()` function and assigns them to the `input` variable. This ensures that the input data is consistent for both test cases.

**Individual test cases:**

Each test case represents a separate benchmarking scenario:

*   The first test case measures the performance of sorting an array without providing any arguments.
*   The second test case measures the performance of sorting an array with a custom comparison function.

**Latest benchmark result:**

The latest results show that Firefox 112 (on a Mac OS X 10.15 device) can execute the `sort()` method with an argument approximately 62.6 times faster than when no arguments are provided.

**Other alternatives:**

Some other approaches to sorting arrays include:

*   Using the `Array.prototype.sort()` method with a compare function, like this: `input.sort((a, b) => a - b);`
*   Implementing a custom sorting algorithm, such as quicksort or mergesort.
*   Utilizing external libraries that provide optimized sorting algorithms.

Keep in mind that these alternatives may have different performance characteristics and might be overkill for simple use cases like the ones presented in this benchmark.

Related benchmarks:

Sort numbers with vs without arguments (version: 0)

Comparing performance of: Sort without arguments vs Sort with arguments

Created: 3 years ago by: Guest

Jump to the latest result

Sort without arguments

Sort with arguments

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):