Benchmark: Lodash sortBy vs orderBy2

HTML Preparation code:

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

Script Preparation code:

function getRandomInt(max) {
  return Math.floor(Math.random() * Math.floor(max));
}

var arr = [];
for(var i = 0; i < 100000; i++){
  arr.push({value:getRandomInt(100)});
}

Tests:

_.sortBy
_.sortBy(arr,"value");
_.orderBy
_.orderBy(arr,"value");

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
_.sortBy
_.orderBy

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 break down the provided benchmark definition and test cases.

**Benchmark Definition JSON:**
The benchmark definition is a JSON object that contains information about the benchmark being tested. The key points are:

* "Name": A human-readable name for the benchmark, which in this case is "Lodash sortBy vs orderBy".
* "Description": A brief description of the benchmark, which in this case highlights the comparison between two Lodash functions: `sortBy` and `orderBy`.
* "Script Preparation Code": This section contains code that is executed before running the benchmark. In this case, it creates an array `arr` with 100,000 objects, each containing a random integer value.
* "Html Preparation Code": This section includes a script tag that loads the Lodash library (version 4.17.5) from a CDN.

**Individual Test Cases:**
The benchmark consists of two test cases:

1. `_.sortBy(arr, "value");`: This test case runs the `sortBy` function on the prepared array `arr`, sorting it in ascending order based on the values.
2. `_.orderBy(arr, "value");`: This test case runs the `orderBy` function on the prepared array `arr`, also sorting it in ascending order based on the values.

**What's being tested:**
The benchmark is testing the performance of two Lodash functions:

* `sortBy`: Sorts an array in a specific order (ascending, in this case).
* `orderBy`: Similar to `sortBy`, but with a different internal implementation.

**Options compared:**

* **Lodash's internal sorting algorithm**: The benchmark compares the execution times of two different algorithms used by Lodash to sort arrays: `sortBy` and `orderBy`.
* **Array data structure**: Although not explicitly stated, it is likely that the benchmark assumes an array data structure for the input.

**Pros and Cons of the compared options:**

* `sortBy`:
	+ Pros: May be more flexible or customizable, as it can sort in multiple directions (ascending/descending).
	+ Cons: Might have a higher overhead due to its internal implementation.
* `orderBy`:
	+ Pros: Could potentially be faster or more efficient, especially for large arrays.
	+ Cons: Its specific internal implementation might not be suitable for all use cases.

**Library and syntax usage:**
The test case uses the Lodash library (version 4.17.5). The `_` notation is used as a prefix to access functions within the library.

**Special JS feature or syntax:**
There are no special JavaScript features or syntaxes explicitly mentioned in the benchmark definition or individual test cases.

**Alternatives:**
Other alternatives for sorting arrays could include:

* Using the built-in `sort()` method of the Array prototype.
* Implementing a custom sorting algorithm using a data structure like a heap or a balanced binary search tree.
* Utilizing a third-party library with optimized sorting algorithms, such as MoJS or SortJS.

Keep in mind that this is just a brief explanation, and there may be additional nuances or complexities to the benchmark not covered here.

Related benchmarks:

Lodash sortBy vs orderBy2 (version: 0)

Lodash sortBy vs orderBy

Comparing performance of: _.sortBy vs _.orderBy

Created: 4 years ago by: Guest

Jump to the latest result

_.sortBy

_.orderBy

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):