Benchmark: array order lodash vs vanilla

HTML Preparation code:

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

Script Preparation code:

var data = [{"id":1,"aziendaId":1,"aziendaNome":"Ferrara s.r.l.","dataAssunzione":"2020-01-01T00:00:00","dataLicenziamento":null,"motivazioneLicenziamento":null,"matricola":null,"meccanografico":null,"personaId":1,"personaCognome":"Leone","personaNome":"Siro","personaNominativo":"Leone Siro"},{"id":2,"aziendaId":1,"aziendaNome":"Ferrara s.r.l.","dataAssunzione":"2020-01-01T00:00:00","dataLicenziamento":null,"motivazioneLicenziamento":null,"matricola":null,"meccanografico":null,"personaId":2,"personaCognome":"Santoro","personaNome":"Maristella","personaNominativo":"Santoro Maristella"},{"id":3,"aziendaId":1,"aziendaNome":"Ferrara s.r.l.","dataAssunzione":"2020-01-01T00:00:00","dataLicenziamento":null,"motivazioneLicenziamento":null,"matricola":null,"meccanografico":null,"personaId":3,"personaCognome":"Martini","personaNome":"Rosalba","personaNominativo":"Martini Rosalba"},{"id":4,"aziendaId":1,"aziendaNome":"Ferrara s.r.l.","dataAssunzione":"2020-01-01T00:00:00","dataLicenziamento":null,"motivazioneLicenziamento":null,"matricola":null,"meccanografico":null,"personaId":4,"personaCognome":"Benedetti","personaNome":"Pierfrancesco","personaNominativo":"Benedetti Pierfrancesco"},{"id":5,"aziendaId":1,"aziendaNome":"Ferrara s.r.l.","dataAssunzione":"2020-01-01T00:00:00","dataLicenziamento":null,"motivazioneLicenziamento":null,"matricola":null,"meccanografico":null,"personaId":5,"personaCognome":"Orlando","personaNome":"Luce","personaNominativo":"Orlando Luce"}]

Tests:

lodash
_.sortBy(data, ['personaNominativo'])
vanilla
data.sort((a,b) => a.personaNominativo >= b.personaNominativo ? 1 : -1)

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
lodash
vanilla

Fastest: N/A

Slowest: N/A

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

LLMs can make mistakes. Check important info.

Let's break down the provided benchmark definition and its options.

**Benchmark Definition**

The benchmark measures the performance of sorting an array using two approaches: Lodash's `sortBy` function and vanilla JavaScript's built-in `sort` method.

**Options Compared**

1. **Lodash's `sortBy` function**: This approach uses the `lodash` library to sort the array based on a specified field (`personaNominativo`). The `sortBy` function takes an array, a key function (in this case, `('personaNominativo')`), and returns a new sorted array.
2. **Vanilla JavaScript's built-in `sort` method**: This approach sorts the array using the built-in `sort` method with a custom compare function (`(a,b) => a.personaNominativo >= b.personaNominativo ? 1 : -1`). The compare function defines the sorting order, where values are sorted in ascending order if the result is negative and descending otherwise.

**Pros and Cons of Each Approach**

* **Lodash's `sortBy` function**:
	+ Pros: More readable code, easier to maintain, and less prone to errors due to its higher-level abstraction.
	+ Cons: Adds an external dependency (the Lodash library), which may increase bundle size and potentially impact performance. Additionally, some might find the use of an external library unnecessary for a simple sorting operation.
* **Vanilla JavaScript's built-in `sort` method**:
	+ Pros: No external dependencies, compact code, and easy to understand.
	+ Cons: More error-prone due to the need to manually define the compare function. Additionally, the code can be less readable, especially for more complex sorting scenarios.

**Other Considerations**

* Both approaches have a time complexity of O(n log n) for large datasets, making them suitable for most use cases.
* The `sortBy` function in Lodash is often used when you need to sort arrays based on multiple fields or want to perform more advanced data manipulation operations. However, it also comes with additional overhead due to the library's functionality.

**Library Used**

In this benchmark, the `lodash` library is used for its `sortBy` function. The library provides a wide range of utility functions that make common tasks easier and more efficient.

**Special JS Feature or Syntax**

The test case uses a custom compare function in the vanilla JavaScript implementation (`(a,b) => a.personaNominativo >= b.personaNominativo ? 1 : -1`). This is an example of how you can define a sorting order using a higher-order function, which is not necessary but illustrates an alternative approach.

**Alternatives**

For comparison, other approaches to sort arrays could include:

* Using the `Array.prototype.sort()` method with a custom callback function
* Utilizing libraries like Moment.js for date-based sorting or other specialized libraries for specific use cases (e.g., sorting by last names)
* Implementing a custom sorting algorithm, such as quicksort or mergesort

Keep in mind that each approach has its trade-offs, and the choice ultimately depends on your specific requirements, performance constraints, and personal preference.

Latest run results:

Run details: (Test run date: 4 years ago)

User agent: Mozilla/5.0 (Macintosh; Intel Mac OS X 10.15; rv:79.0) Gecko/20100101 Firefox/79.0

Browser/OS: Firefox 79 on Mac OS X 10.15

View result in a separate tab

Test name	Executions per second
lodash	436877.1 Ops/sec
vanilla	2843259.0 Ops/sec

Related benchmarks:

array order lodash vs vanilla (version: 0)

Comparing performance of: lodash vs vanilla

Created: 4 years ago by: Guest

Jump to the latest result

lodash

vanilla

Suite status: <idle, ready to run>

Experimental features:

Fastest: N/A

Slowest: N/A

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