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SuperS3t | An asynchronous , vert.x-based S3 library for Java | Reactive Programming library

 by   spartango Java Version: Current License: MIT

 by   spartango Java Version: Current License: MIT

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kandi X-RAY | SuperS3t Summary

SuperS3t is a Java library typically used in Programming Style, Reactive Programming applications. SuperS3t has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can download it from GitHub.
SuperS3t is a super simple library for [Amazon Web Services' Simple Storage Service (S3)](http://aws.amazon.com/s3/). It provides commonly-used functionality for manipulating objects in S3 buckets, such as creating, downloading, and deleting objects. Critically, SuperS3t’s API is asynchronous and built on the fast I/O substrate, [Vert.x](http://vertx.io). SuperS3t is very fast, and compatible with applications using Vert.x, Netty, or Java’s NIO/2 APIs.
Support
Support
Quality
Quality
Security
Security
License
License
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kandi-support Support

  • SuperS3t has a low active ecosystem.
  • It has 18 star(s) with 9 fork(s). There are 3 watchers for this library.
  • It had no major release in the last 12 months.
  • There are 3 open issues and 2 have been closed. On average issues are closed in 473 days. There are no pull requests.
  • It has a neutral sentiment in the developer community.
  • The latest version of SuperS3t is current.
SuperS3t Support
Best in #Reactive Programming
Average in #Reactive Programming
SuperS3t Support
Best in #Reactive Programming
Average in #Reactive Programming

quality kandi Quality

  • SuperS3t has 0 bugs and 0 code smells.
SuperS3t Quality
Best in #Reactive Programming
Average in #Reactive Programming
SuperS3t Quality
Best in #Reactive Programming
Average in #Reactive Programming

securitySecurity

  • SuperS3t has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
  • SuperS3t code analysis shows 0 unresolved vulnerabilities.
  • There are 0 security hotspots that need review.
SuperS3t Security
Best in #Reactive Programming
Average in #Reactive Programming
SuperS3t Security
Best in #Reactive Programming
Average in #Reactive Programming

license License

  • SuperS3t is licensed under the MIT License. This license is Permissive.
  • Permissive licenses have the least restrictions, and you can use them in most projects.
SuperS3t License
Best in #Reactive Programming
Average in #Reactive Programming
SuperS3t License
Best in #Reactive Programming
Average in #Reactive Programming

buildReuse

  • SuperS3t releases are not available. You will need to build from source code and install.
  • Build file is available. You can build the component from source.
  • Installation instructions, examples and code snippets are available.
  • SuperS3t saves you 238 person hours of effort in developing the same functionality from scratch.
  • It has 581 lines of code, 63 functions and 3 files.
  • It has high code complexity. Code complexity directly impacts maintainability of the code.
SuperS3t Reuse
Best in #Reactive Programming
Average in #Reactive Programming
SuperS3t Reuse
Best in #Reactive Programming
Average in #Reactive Programming
Top functions reviewed by kandi - BETA

kandi has reviewed SuperS3t and discovered the below as its top functions. This is intended to give you an instant insight into SuperS3t implemented functionality, and help decide if they suit your requirements.

  • Initialize the authentication header .
  • Creates a PUT request .
  • Creates a DELETE request .
  • Creates a GET request for the specified bucket and key .
  • Sign the canonical string with the given canonical string key .
  • Uploads data to S3 .
  • Executes an HTTP GET request .
  • Sends a HEAD header .
  • End the request .
  • Adds a header to the request .

SuperS3t Key Features

SuperS3t is little more than a wrapper around Vertx’s [HttpClient API](http://vertx.io/core_manual_java.html#writing-http-clients). You can use it to PUT, GET, and DELETE objects from S3. You use it in much the same way as you would a normal HTTPClient:. The handlers are Handler<HttpClientResponse>, so you can easily get the S3 status code from them. If you need to attach a Handler<Buffer> to event.bodyHandler() or event.dataHandler() and event.endHandler() as part of your response handler.

Community Discussions

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Trending Discussions on Reactive Programming

QUESTION

How to use RXJS to share a pool of resources between multiple consumers

Asked 2022-Mar-31 at 12:55

How can we divide work of consumers over a limited set of resources in RXJS?

I have a Pool class here (simplified):

class Pool<TResource> {

  private readonly resource$: Observable<TResource>;

  constructor(resource$: Observable<TResource>) {
    this.resource$ = resource$.pipe(
      // We use share replay here, so multiple calls to `schedule` will share the resources
      shareReplay()
    );
  }

  /**
   * Schedules a task to be executed on resources in the pool. Each input is paired with a resource, which allows async work to be done.
   * @param input$ The inputs to pair up with a resource.
   * @param task The task to execute on each resource
   */
  public schedule<TIn, TOut>(input$: Observable<TIn>, task: (resource: TResource, input: TIn) => Promise<TOut> | TOut): Observable<TOut> {
    const recycleBin = new Subject<TResource>();
    const resource$ = merge(recycleBin, this.resource$);

    return zip(resource$, input$).pipe(
      mergeMap(async ([resource, input]) => {
        const output = await task(resource, input);
        //  Recycles a resource so its re-emitted from the `resource$` observable.
        recycleBin.next(resource);
        return output;
      }),
      tap({ complete: () => recycleBin.complete() })
    );
  }
}

You can use it like this:

class CalculatorResource {
  expensiveCalculation(n: number) {
    return new Promise<number>(res => setTimeout(() => res(n*2), 1000));
  }
}

const pool = new Pool(of(new CalculatorResource(), new CalculatorResource()));
const input$ = of(1, 2, 3, 4);
const output$ = pool.schedule(input$, (calc, n) => calc.expensiveCalculation(n));
output$.subscribe(console.log)
// ...wait 1 sec
// Logs 2
// Logs 4
// ...wait 1 sec
// Logs 6
// Logs 8

This works as expected.

However, when we call schedule in parallel, the resources will also be distributed in parallel. This is not good, we want the resources to be distributed evenly, since the nature of the tasks they do make it so they can't be called in parallel.

const pool = new Pool(of(new CalculatorResource(), new CalculatorResource()));
const input$ = of(1, 2, 3, 4);
const parallelInput$ = of(5, 6, 7, 8);
pool.schedule(input$, (calc, n) =>
  calc.expensiveCalculation(n)
).subscribe(console.log);
pool.schedule(parallelInput$, (calc, n) =>
  calc.expensiveCalculation(n)
).subscribe(console.log);
// Actual output:

// ...wait 1 sec
// Logs 2
// Logs 4
// Logs 10
// Logs 12
// ...wait 1 sec
// Logs 6
// Logs 8
// Logs 14
// Logs 16

// What i would like to see:
// ...wait 1 sec
// Logs 2
// Logs 4
// ...wait 1 sec
// Logs 10
// Logs 12
// ...wait 1 sec
// Logs 6
// Logs 8
// ...wait 1 sec
// Logs 14
// Logs 16

ANSWER

Answered 2022-Mar-31 at 12:55

So the main thing is you need to share the actual part that does the work, not only the resources.

Here's a solution from me:

https://stackblitz.com/edit/rxjs-yyxjh2?devToolsHeight=100&file=index.ts

import { merge, Observable, Observer, of, Subject, zip } from 'rxjs';
import { ignoreElements, concatMap, switchMap } from 'rxjs/operators';

class Pool<TResource> {
  private readonly resourceFree$ = new Subject<TResource>();
  private readonly dispatcher$ = new Subject<{
    execute: (resource: TResource) => any;
    observer: Observer<any>;
  }>();
  private freeResources$ = merge(this.resource$, this.resourceFree$);
  readonly doWork$ = zip(this.freeResources$, this.dispatcher$).pipe(
    switchMap(async ([resource, work]) => {
      try {
        const result = await work.execute(resource);
        work.observer.next(result);
        work.observer.complete();
      } catch (err) {
        work.observer.error(err);
      }
      this.resourceFree$.next(resource);
    }),
    ignoreElements()
  );

  constructor(private resource$: Observable<TResource>) {}

  public schedule<TIn, TOut>(
    input$: Observable<TIn>,
    task: (resource: TResource, input: TIn) => Promise<TOut> | TOut
  ): Observable<TOut> {
    return input$.pipe(
      //you can use mergeMap here as well, depends on how fast you want to consume inputs
      concatMap((input) => {
        const work = {
          execute: (r) => task(r, input),
          observer: new Subject<TOut>(),
        };
        this.dispatcher$.next(work);
        return work.observer;
      })
    );
  }
}

class CalculatorResource {
  expensiveCalculation(n: number) {
    return new Promise<number>((res) => setTimeout(() => res(n * 2), 1000));
  }
}

const pool = new Pool(of(new CalculatorResource(), new CalculatorResource()));
pool.doWork$.subscribe(); //this is to start the pool dispatcher

const input$ = of(1, 2, 3, 4);
const parallelInput$ = of(5, 6, 7, 8);
pool
  .schedule(input$, (calc, n) => calc.expensiveCalculation(n))
  .subscribe(console.log, undefined, () => console.log('1st done'));
pool
  .schedule(parallelInput$, (calc, n) => calc.expensiveCalculation(n))
  .subscribe(console.log, undefined, () => console.log('2nd done'));

setTimeout(() => {
  pool
    .schedule(parallelInput$, (calc, n) => calc.expensiveCalculation(n))
    .subscribe(console.log, undefined, () => console.log('3rd done'));
}, 5000);

Source https://stackoverflow.com/questions/71689376

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install SuperS3t

SuperS3t uses Gradle as its build system, and includes JUnit tests to demonstrate that it works. You can include SuperS3t as a subproject in existing build systems, or you can use gradle to generate a jar.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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