Benchmark: Lodash sumBy (value and map) vs reduce

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:

_.sumBy value
_.sumBy(arr, "value");
map and reduce
arr.reduce((prev, next) => prev + next.value, 0);
_.sumBy with map
_.sumBy(arr, x => x.value);

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
_.sumBy value
map and reduce
_.sumBy with map

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 benchmark and its components.

**Benchmark Definition**

The benchmark is designed to compare two approaches for summing values in an array: Lodash's `sumBy` function with a callback, and the built-in `reduce` method of JavaScript arrays. The benchmark aims to determine which approach is faster for large datasets.

**Script Preparation Code**

This code generates an array of 100,000 objects, each containing a random integer value between 0 and 100. This data structure is used as input for both the Lodash `sumBy` function and the built-in `reduce` method.

**Html Preparation Code**

This code includes the necessary JavaScript library for Lodash (version 4.17.5) to be executed alongside the benchmark script. The library provides a utility function `sumBy`, which is used in one of the test cases.

**Individual Test Cases**

There are three test cases:

1. `_.sumBy arr, "value"`: This test case uses Lodash's `sumBy` function with a string callback to sum up the values in the array.
2. `arr.reduce((prev, next) => prev + next.value, 0)` : This test case uses the built-in `reduce` method of JavaScript arrays to sum up the values.
3. `_.sumBy arr, x => x.value`: This test case uses Lodash's `sumBy` function with an arrow function callback to sum up the values in the array.

**Options Compared**

The benchmark compares two options:

* **Lodash `sumBy` function**: This is a utility function provided by the Lodash library that sums up values in an array using a custom callback.
* **Built-in JavaScript `reduce` method**: This is a built-in method of JavaScript arrays that can be used to reduce an array to a single value.

**Pros and Cons**

Here are some pros and cons for each option:

* **Lodash `sumBy` function**:
	+ Pros: Easy to use, concise syntax.
	+ Cons: Requires additional library dependency (Lodash), may have overhead due to the callback function.
* **Built-in JavaScript `reduce` method**:
	+ Pros: Built-in, no extra dependencies, can be customized through callback function.
	+ Cons: May require more code, can be less readable for complex transformations.

**Library and Its Purpose**

The Lodash library is a popular utility library for JavaScript that provides a collection of functional programming helpers. In this benchmark, the `sumBy` function is used to sum up values in an array using a custom callback.

**Special JS Feature or Syntax**

There are no special features or syntaxes used in this benchmark. The code focuses on demonstrating two simple algorithms: Lodash's `sumBy` function and the built-in JavaScript `reduce` method.

**Other Alternatives**

If you're looking for alternative approaches to summing values in an array, here are a few options:

* Using a custom loop with indexing
* Utilizing other utility libraries (e.g., Underscore.js)
* Leveraging WebAssembly or native array methods (if supported by the browser)

Keep in mind that these alternatives may have different performance characteristics, readability, and usage patterns compared to Lodash's `sumBy` function and the built-in JavaScript `reduce` method.

Latest run results:

Run details: (Test run date: 21 hours ago)

User agent: Mozilla/5.0 (iPad; CPU OS 17_6_1 like Mac OS X) AppleWebKit/605.1.15 (KHTML, like Gecko) CriOS/131.0.6778.73 Mobile/15E148 Safari/604.1

Browser/OS: Chrome Mobile iOS 131 on iOS 17.6.1

View result in a separate tab

Test name	Executions per second
_.sumBy value	3703.6 Ops/sec
map and reduce	5794.2 Ops/sec
_.sumBy with map	5630.2 Ops/sec

Related benchmarks:

Lodash sumBy (value and map) vs reduce (version: 0)

Comparing performance of: _.sumBy value vs map and reduce vs _.sumBy with map

Created: 9 months ago by: Guest

Jump to the latest result

_.sumBy value

map and reduce

_.sumBy with map

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):