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RxJs vs Array v7.5.4
(version: 0)
Comparing performance of:
Array vs RxJs
Created:
4 years ago
by:
Guest
Jump to the latest result
HTML Preparation code:
<script src='https://cdnjs.cloudflare.com/ajax/libs/rxjs/7.5.4/rxjs.umd.min.js'></script>
Script Preparation code:
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));
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);
Rendered benchmark preparation results:
Suite status:
<idle, ready to run>
Run tests (2)
Previous results
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Test case name
Result
Array
RxJs
Fastest:
N/A
Slowest:
N/A
Latest run results:
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Autogenerated LLM Summary
(model
llama3.2:3b
, generated one year ago):
I'd be happy to help explain the provided benchmark. **Benchmark Definition** The benchmark is designed to compare the performance of two approaches: using an array in JavaScript (v7.5.4) and using RxJS, a reactive programming library. The benchmark definition JSON provides the following information: * **Script Preparation Code**: This code generates an array of 1 million random numbers and stores it in the `source` variable. * **Html Preparation Code**: This code includes a reference to the RxJS library (version 7.5.4) that will be used for the benchmark. **Test Cases** There are two test cases: 1. **Array**: The first test case measures the performance of using an array in JavaScript. It uses the `map`, `filter`, and `reduce` methods to process the array. 2. **RxJs**: The second test case measures the performance of using RxJS. It uses the `of` operator to create an observable from the array, and then applies the `map`, `filter`, and `reduce` operators to process the data. **Options Compared** The benchmark compares two approaches: * Using an array in JavaScript * Using RxJS for reactive programming **Pros and Cons** * **Using an array in JavaScript**: This approach is simple and straightforward. However, it can be less efficient than using a reactive library like RxJS, especially for complex pipelines. + Pros: Easy to use, no additional dependencies required. + Cons: Can be slower due to the synchronous nature of array operations. * **Using RxJs**: This approach provides a more declarative way of processing data. It can lead to more efficient code and better performance, but requires more setup and understanding of the library. + Pros: More efficient, more concise code, allows for easier handling of asynchronous data processing. + Cons: Requires additional dependencies (RxJS), can be overwhelming for beginners. **Library: RxJS** RxJS is a reactive programming library that provides a way to handle asynchronous data processing in a more declarative and efficient manner. It was created by John Lindal and is now maintained by the RxJS team. The `of` operator creates an observable from an array, which can then be processed using operators like `map`, `filter`, and `reduce`. These operators perform operations on the data stream, allowing for more flexible and efficient processing of asynchronous data. **Special JS Feature/Syntax** There are no special JavaScript features or syntaxes mentioned in this benchmark. However, it's worth noting that RxJS uses ES6+ features like classes and arrow functions to create a modern and concise API. **Other Alternatives** If you're interested in exploring other alternatives for reactive programming in JavaScript, here are a few options: * **Promise-chaining**: This approach involves chaining `then` blocks together to handle asynchronous data processing. * **Event-driven programming**: This approach uses events to handle asynchronous data processing. For example, you can use the `window.addEventListener` method to listen for DOM events or socket.io to handle network events. * **Callbacks**: This approach uses callback functions to handle asynchronous data processing. These alternatives have their own pros and cons, and may not provide the same level of efficiency and conciseness as RxJS.
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