Benchmark: RxJs vs Array - MeasureThat.net

HTML Preparation code:

<script src='https://cdnjs.cloudflare.com/ajax/libs/rxjs/6.6.2/rxjs.umd.min.js'></script>

AخA
 
<script src='https://cdnjs.cloudflare.com/ajax/libs/rxjs/6.6.2/rxjs.umd.min.js'></script>

Script Preparation code:

var source = Array(1000000).fill(1).map((_, i) => Math.random());

 
var source = Array(1000000).fill(1).map((_, i) => Math.random());

Tests:

Array

const arrayResult = source
  .map(n => n * 2)
  .filter(n => n > 0.5)
  .reduce((m, c) => Math.max(m, c));

 
const arrayResult = source  .map(n => n * 2)  .filter(n => n > 0.5)  .reduce((m, c) => Math.max(m, c));

RxJs

const transducerResult = rxjs.of(source).pipe(
  rxjs.operators.map(n => n * 2),
  rxjs.operators.filter(n => n > 0.5),
  rxjs.operators.reduce((m, c) => Math.max(m, c))
).subscribe(console.log);

 
const transducerResult = rxjs.of(source).pipe(  rxjs.operators.map(n => n * 2),  rxjs.operators.filter(n => n > 0.5),  rxjs.operators.reduce((m, c) => Math.max(m, c))).subscribe(console.log);

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Experimental features:

Memory measurements supported only in Chrome.
For precise memory measurements Chrome must be launched with --enable-precise-memory-info flag.
More information: Monitoring JavaScript Memory

Test case name	Result
Array
RxJs

Fastest: N/A

Slowest: N/A

Latest run results:

Run details: (Test run date: 17 days ago)

User agent: Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/135.0.0.0 Safari/537.36

Browser/OS: Chrome 135 on Mac OS X 10.15.7

View result in a separate tab

Test name	Executions per second
Array	20.8 Ops/sec
RxJs	10.3 Ops/sec

Autogenerated LLM Summary (model llama3.2:3b, generated 6 months ago):

Let's break down the benchmark and its options.

Benchmark Overview

The benchmark compares the performance of two approaches: Array and RxJS (a reactive programming library). The test case filters and transforms an array of 1 million random numbers to find the maximum value greater than 0.5.

Options Compared

There are two approaches compared:

Array: A traditional JavaScript approach using the map, filter, and reduce methods.
RxJs: A reactive programming library that provides a pipeline of operations to transform data. In this case, it's used to filter and transform the same array.

Pros and Cons

Array:
- Pros: Simple, familiar API, no additional dependencies required.
- Cons: Can be slower due to the overhead of function calls and object creation.
RxJs:
- Pros: Optimized for performance, provides a declarative way of writing pipelines, and can handle concurrency efficiently.
- Cons: Requires an additional dependency (the RxJS library), and its API can be unfamiliar to some developers.

Library and Purpose

The rxjs library is used in the benchmark. It provides a set of operators that can be combined to create complex data processing pipelines. In this case, the pipeline includes:

map: Applies a transformation function to each element of the array.
filter: Filters out elements that don't meet the specified condition.
reduce: Reduces the array to a single value.

Special JS Feature/Syntax

There is no special JavaScript feature or syntax used in this benchmark. It's purely functional programming with a focus on performance comparison.

Other Alternatives

If you're interested in exploring alternative approaches, here are some options:

Lo-Dash: A functional programming library that provides a pipeline-like API similar to RxJS.
**Lodash`: A utility library that includes functions for array manipulation, but doesn't provide a pipeline-like API like RxJs.
Java 8 Stream API: If you're familiar with Java, you might find the Stream API's pipeline-like approach interesting. However, it would require additional setup and dependencies.

In conclusion, the benchmark provides a clear comparison between two approaches: traditional JavaScript arrays versus RxJS pipelines. The choice of approach depends on your specific use case, performance requirements, and personal preference.

LLMs can make mistakes. Check important info.

Let's break down the benchmark and its options.

**Benchmark Overview**

The benchmark compares the performance of two approaches: `Array` and RxJS (a reactive programming library). The test case filters and transforms an array of 1 million random numbers to find the maximum value greater than 0.5.

**Options Compared**

There are two approaches compared:

1. **Array**: A traditional JavaScript approach using the `map`, `filter`, and `reduce` methods.
2. **RxJs**: A reactive programming library that provides a pipeline of operations to transform data. In this case, it's used to filter and transform the same array.

**Pros and Cons**

* **Array**:
	+ Pros: Simple, familiar API, no additional dependencies required.
	+ Cons: Can be slower due to the overhead of function calls and object creation.
* **RxJs**:
	+ Pros: Optimized for performance, provides a declarative way of writing pipelines, and can handle concurrency efficiently.
	+ Cons: Requires an additional dependency (the RxJS library), and its API can be unfamiliar to some developers.

**Library and Purpose**

The `rxjs` library is used in the benchmark. It provides a set of operators that can be combined to create complex data processing pipelines. In this case, the pipeline includes:

* `map`: Applies a transformation function to each element of the array.
* `filter`: Filters out elements that don't meet the specified condition.
* `reduce`: Reduces the array to a single value.

**Special JS Feature/Syntax**

There is no special JavaScript feature or syntax used in this benchmark. It's purely functional programming with a focus on performance comparison.

**Other Alternatives**

If you're interested in exploring alternative approaches, here are some options:

* **Lo-Dash**: A functional programming library that provides a pipeline-like API similar to RxJS.
* **Lodash`: A utility library that includes functions for array manipulation, but doesn't provide a pipeline-like API like RxJs.
* **Java 8 Stream API**: If you're familiar with Java, you might find the Stream API's pipeline-like approach interesting. However, it would require additional setup and dependencies.

Related benchmarks:

RxJs vs Array (version: 0)

Comparing performance of: Array vs RxJs

Created: 4 years ago by: Guest

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