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vlingo-cluster | VLINGO XOOM platform SDK cluster management | Reactive Programming library

 by   vlingo Java Version: Current License: Non-SPDX

 by   vlingo Java Version: Current License: Non-SPDX

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kandi X-RAY | vlingo-cluster Summary

vlingo-cluster is a Java library typically used in Programming Style, Reactive Programming applications. vlingo-cluster has no bugs, it has no vulnerabilities, it has build file available and it has low support. However vlingo-cluster has a Non-SPDX License. You can download it from GitHub, Maven.
The VLINGO XOOM platform SDK cluster management for Reactive, scalable resiliency of JVM tools and applications running on XOOM LATTICE and XOOM ACTORS.
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Security
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kandi-support Support

  • vlingo-cluster has a low active ecosystem.
  • It has 24 star(s) with 8 fork(s). There are 8 watchers for this library.
  • It had no major release in the last 12 months.
  • There are 1 open issues and 0 have been closed. On average issues are closed in 547 days. There are no pull requests.
  • It has a neutral sentiment in the developer community.
  • The latest version of vlingo-cluster is current.
vlingo-cluster Support
Best in #Reactive Programming
Average in #Reactive Programming
vlingo-cluster Support
Best in #Reactive Programming
Average in #Reactive Programming

quality kandi Quality

  • vlingo-cluster has 0 bugs and 0 code smells.
vlingo-cluster Quality
Best in #Reactive Programming
Average in #Reactive Programming
vlingo-cluster Quality
Best in #Reactive Programming
Average in #Reactive Programming

securitySecurity

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

license License

  • vlingo-cluster has a Non-SPDX License.
  • Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.
vlingo-cluster License
Best in #Reactive Programming
Average in #Reactive Programming
vlingo-cluster License
Best in #Reactive Programming
Average in #Reactive Programming

buildReuse

  • vlingo-cluster releases are not available. You will need to build from source code and install.
  • Deployable package is available in Maven.
  • Build file is available. You can build the component from source.
  • Installation instructions, examples and code snippets are available.
  • It has 8375 lines of code, 1033 functions and 117 files.
  • It has medium code complexity. Code complexity directly impacts maintainability of the code.
vlingo-cluster Reuse
Best in #Reactive Programming
Average in #Reactive Programming
vlingo-cluster Reuse
Best in #Reactive Programming
Average in #Reactive Programming
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vlingo-cluster Key Features

The VLINGO XOOM platform SDK cluster management for Reactive, scalable resiliency of JVM tools and applications running on XOOM LATTICE and XOOM ACTORS.

Community Discussions

Trending Discussions on Reactive Programming
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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 vlingo-cluster

The XOOM CLUSTER supports scaling a JVM-based DDD Bounded Context (business-driven microservice) with fault tolerance.

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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