Benchmark: Rxjs several pipes vs one 100k without functional array functions at all qwerq

HTML Preparation code:

<script src='https://unpkg.com/rxjs@6.5.5/bundles/rxjs.umd.min.js'></script>

Script Preparation code:

var rawdata = Array.from(Array(100000).keys()) // 10k numbers 1,2,3,4,5...

Tests:

RxJS one pipe
let { from, Observable } = rxjs; let { flatMap, map, tap, toArray } = rxjs.operators; const data$ = from(rawdata) .pipe( map(values => { let count = 0; for (let i = 0; i < 50; i++) { count = count + 1; } return count; }) ) let data; data$.subscribe(d => data = d);
Several pipes
let { from, Observable } = rxjs; let { flatMap, map, tap, toArray } = rxjs.operators; const data$ = from(rawdata) .pipe( map(values => { let count = 0; for (let i = 0; i < 10; i++) { count = count + 1; } return count; }), map(values => { let count = 0; for (let i = 0; i < 10; i++) { count = count + 1; } return count; }), map(values => { let count = 0; for (let i = 0; i < 10; i++) { count = count + 1; } return count; }), map(values => { let count = 0; for (let i = 0; i < 10; i++) { count = count + 1; } return count; }), map(values => { let count = 0; for (let i = 0; i < 10; i++) { count = count + 1; } return count; }) ) let data; data$.subscribe(d => data = d);

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
RxJS one pipe
Several pipes

Fastest: N/A

Slowest: N/A

Latest run results:

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

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Let's break down the benchmark and its test cases.

**Benchmark Definition**

The benchmark is designed to measure the performance of using RXJS (a popular JavaScript library for reactive programming) with different approaches.

The basic idea is to create an array of 100,000 numbers using `Array.from` and then transform this data using various operations. The transformation involves counting some values by iterating over a range, and the goal is to determine which approach yields better performance.

**Test Cases**

There are two test cases:

1. **RxJS one pipe**: This test case applies a single mapping operation (`map`) that counts some values by iterating over a range of 50 numbers.
2. **Several pipes**: This test case applies multiple mapping operations in sequence, where each subsequent mapping also counts some values by iterating over a range of 10 numbers.

**Library: RxJS**

RxJS is a library for reactive programming in JavaScript. It provides a set of operators that can be used to process data streams. In this benchmark, the `map`, `flatMap`, `tap`, and `toArray` operators are used.

*   `map`: Applies a transformation function to each item in an observable.
*   `flatMap`: Flattens an array-like or object into an iterable stream.
*   `tap`: Subscribes to another observable and ignores the result.
*   `toArray`: Converts an observable to an array.

**Special JS Feature: Iterators**

Both test cases involve using iterators, which allow us to iterate over a range of numbers. The `for` loop creates an iterator that can be used with the `map` function.

**Pros and Cons of Different Approaches**

1.  **Single mapping operation (RxJS one pipe)**:

*   Pros: Simplifies the code, easy to understand.
    *   Cons: May involve more overhead due to a single transformation.
2.  **Multiple mapping operations (Several pipes)**:

*   Pros: Can be used for complex transformations, easier to compose multiple operations.
    *   Cons: May introduce more overhead due to multiple transformations.

**Other Considerations**

*   **Code size**: Both test cases have similar code sizes, which suggests that the performance difference is likely due to the number of iterations rather than code complexity.
*   **Browser compatibility**: The benchmark uses Chrome 110, but other browsers may behave differently. This could affect the results.
*   **Device platform and operating system**: The benchmark runs on a Mac OS X desktop, which may be different from other platforms.

**Alternatives**

Other approaches to transform data using RXJS operators might include:

*   Using `flatMap` instead of `map`
*   Applying multiple `map` operations in sequence
*   Using `pipe` with other operators like `filter`, `switchMap`, or `mergeMap`

However, the chosen approach should balance performance, code complexity, and maintainability.

In conclusion, this benchmark provides a useful comparison of two different approaches to transforming data using RXJS. By analyzing the results, you can understand which approach is likely to be more performant in your specific use case.

Related benchmarks:

Rxjs several pipes vs one 100k without functional array functions at all qwerq (version: 0)

Comparing performance of: RxJS one pipe vs Several pipes

Created: 3 years ago by: Registered User

Jump to the latest result

RxJS one pipe

Several pipes

Suite status: <idle, ready to run>

Fastest: N/A

Slowest: N/A

No previous run results

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