Benchmark: Reduce/Spread vs ReduceRight/push

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 = [1,2,3,4,5,6,7,8,9,0,1,2,3,4,5,6,7,8,9,0]

Tests:

reduce and spread
data.reduce((acc, d) => [{val: d}, ...d], []);
lodash reduceRight
_(data).reduceRight((acc, d) => { acc.push({val: d}); return acc; } , []);
reduce and push
data.reduce((acc, d) => { acc.push({val: d}); return acc; }, []).reverse();

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
reduce and spread
lodash reduceRight
reduce and push

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 dive into the provided benchmarking setup.

**Benchmark Overview**

The benchmark, hosted on MeasureThat.net, tests three approaches for reducing an array of objects with different methods: using `reduce`, `reduceRight`, and `push` in combination with array spread. The goal is to measure the performance differences between these approaches.

**Script Preparation Code**

The script preparation code provides a sample data set, `data`, which consists of an array of integers from 0 to 9, repeated twice:
```javascript
var data = [1,2,3,4,5,6,7,8,9,0,1,2,3,4,5,6,7,8,9,0];
```
This data set is used as input for the three benchmarking approaches.

**Html Preparation Code**

The html preparation code includes a reference to the Lodash library, version 4.17.5:
```javascript
<script src='https://cdnjs.cloudflare.com/ajax/libs/lodash.js/4.17.5/lodash.min.js'></script>
```
Lodash is a popular utility library that provides various functions for tasks like array manipulation, iteration, and more.

**Benchmarking Approaches**

There are three benchmarking approaches:

1. **Reduce**: This approach uses the `reduce` method to iterate over the input data set and accumulate the results in an accumulator (`acc`) array.
2. **Lodash ReduceRight**: This approach uses Lodash's `reduceRight` function, which iterates over the input data set from right to left (i.e., last element first) and accumulates the results in an accumulator (`acc`) array.
3. **Reduce + Push**: This approach combines the `reduce` method with the `push` method to accumulate the results in a new array.

**Pros and Cons of Each Approach**

Here's a brief summary of each approach:

*   **Reduce**:
    *   Pros: Simple, intuitive syntax; works well for flat arrays.
    *   Cons: Can be less efficient than other approaches when dealing with nested or complex data structures.
*   **Lodash ReduceRight**:
    *   Pros: Allows for iterative processing from right to left, which can lead to better performance in some cases. Provides a concise syntax using Lodash's utility functions.
    *   Cons: Requires an external library (Lodash) and may have a higher overhead due to the additional dependency.
*   **Reduce + Push**:
    *   Pros: Combines the benefits of both approaches, providing flexibility for accumulating results in different ways. Can be more efficient than using `reduce` alone when dealing with large arrays or nested data structures.
    *   Cons: May have a higher overhead due to the use of the `push` method and potential memory allocation issues.

**Library Usage**

Lodash is used as an external library to provide the `reduceRight` function, which is used in the second benchmarking approach. This allows users to leverage Lodash's optimized implementation for array reduction operations.

**Special JS Features or Syntax**

None of the provided benchmarking approaches use any special JavaScript features or syntax that would affect their performance significantly.

**Alternative Approaches**

Some alternative approaches could be explored:

*   **Using `map` and `concat`**: Instead of using `reduce`, you could use the `map` method to transform each element into an object with a value property, and then concatenate these objects using the `concat` method.
*   **Using `forEach`**: You could iterate over the input data set using the `forEach` method and accumulate the results in an accumulator array.
*   **Using a custom loop**: A simple loop can be used to iterate over the input data set, accumulating the results in an accumulator array.

Latest run results:

Run details: (Test run date: one year ago)

User agent: Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/117.0.0.0 Safari/537.36

Browser/OS: Chrome 117 on Windows

View result in a separate tab

Test name	Executions per second
reduce and spread	0.0 Ops/sec
lodash reduceRight	2763331.0 Ops/sec
reduce and push	3905192.8 Ops/sec

Related benchmarks:

Reduce/Spread vs ReduceRight/push (version: 0)

Comparing performance of: reduce and spread vs lodash reduceRight vs reduce and push

Created: 4 years ago by: Guest

Jump to the latest result

reduce and spread

lodash reduceRight

reduce and push

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):