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vertx-memcached | memcached client for vert.x | Reactive Programming library

 by   ashertarno Java Version: Current License: Non-SPDX

 by   ashertarno Java Version: Current License: Non-SPDX

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kandi X-RAY | vertx-memcached Summary

vertx-memcached is a Java library typically used in Programming Style, Reactive Programming applications. vertx-memcached has no bugs, it has no vulnerabilities and it has low support. However vertx-memcached build file is not available and it has a Non-SPDX License. You can download it from GitHub.
memcached client for vert.x
Support
Support
Quality
Quality
Security
Security
License
License
Reuse
Reuse

kandi-support Support

  • vertx-memcached has a low active ecosystem.
  • It has 18 star(s) with 2 fork(s). There are 3 watchers for this library.
  • It had no major release in the last 12 months.
  • There are 0 open issues and 1 have been closed. On average issues are closed in 13 days. There are no pull requests.
  • It has a neutral sentiment in the developer community.
  • The latest version of vertx-memcached is current.
vertx-memcached Support
Best in #Reactive Programming
Average in #Reactive Programming
vertx-memcached Support
Best in #Reactive Programming
Average in #Reactive Programming

quality kandi Quality

  • vertx-memcached has 0 bugs and 30 code smells.
vertx-memcached Quality
Best in #Reactive Programming
Average in #Reactive Programming
vertx-memcached Quality
Best in #Reactive Programming
Average in #Reactive Programming

securitySecurity

  • vertx-memcached has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
  • vertx-memcached code analysis shows 0 unresolved vulnerabilities.
  • There are 1 security hotspots that need review.
vertx-memcached Security
Best in #Reactive Programming
Average in #Reactive Programming
vertx-memcached Security
Best in #Reactive Programming
Average in #Reactive Programming

license License

  • vertx-memcached 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.
vertx-memcached License
Best in #Reactive Programming
Average in #Reactive Programming
vertx-memcached License
Best in #Reactive Programming
Average in #Reactive Programming

buildReuse

  • vertx-memcached releases are not available. You will need to build from source code and install.
  • vertx-memcached has no build file. You will be need to create the build yourself to build the component from source.
  • Installation instructions are not available. Examples and code snippets are available.
  • vertx-memcached saves you 294 person hours of effort in developing the same functionality from scratch.
  • It has 709 lines of code, 18 functions and 4 files.
  • It has high code complexity. Code complexity directly impacts maintainability of the code.
vertx-memcached Reuse
Best in #Reactive Programming
Average in #Reactive Programming
vertx-memcached Reuse
Best in #Reactive Programming
Average in #Reactive Programming
Top functions reviewed by kandi - BETA

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

  • initialize memcached clients
  • region Verticle
  • Stop memcached clients .
  • Returns the time in milliseconds .
  • Get memcached client
  • Get mem command by name

vertx-memcached Key Features

memcached client for vert.x

Community Discussions

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  • Send a list of objects one at time in reactive way
  • Changing the target of a `whenever` block from the inside
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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 vertx-memcached

You can download it from GitHub.
You can use vertx-memcached like any standard Java library. Please include the the jar files in your classpath. You can also use any IDE and you can run and debug the vertx-memcached component as you would do with any other Java program. Best practice is to use a build tool that supports dependency management such as Maven or Gradle. For Maven installation, please refer maven.apache.org. For Gradle installation, please refer gradle.org .

Support

** All spymemcached operations are executed using default transcoder. **.

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