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JActor2 | Robust , Composable Actors | Reactive Programming library

 by   laforge49 Java Version: v1.0.0 License: No License

 by   laforge49 Java Version: v1.0.0 License: No License

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kandi X-RAY | JActor2 Summary

JActor2 is a Java library typically used in Programming Style, Reactive Programming applications. JActor2 has no bugs, it has no vulnerabilities, it has build file available and it has low support. You can download it from GitHub.
A Robust Alternative to Threads and Locks.
Support
Support
Quality
Quality
Security
Security
License
License
Reuse
Reuse

kandi-support Support

  • JActor2 has a low active ecosystem.
  • It has 59 star(s) with 16 fork(s). There are 12 watchers for this library.
  • It had no major release in the last 12 months.
  • There are 1 open issues and 242 have been closed. On average issues are closed in 106 days. There are no pull requests.
  • It has a neutral sentiment in the developer community.
  • The latest version of JActor2 is v1.0.0
JActor2 Support
Best in #Reactive Programming
Average in #Reactive Programming
JActor2 Support
Best in #Reactive Programming
Average in #Reactive Programming

quality kandi Quality

  • JActor2 has 0 bugs and 0 code smells.
JActor2 Quality
Best in #Reactive Programming
Average in #Reactive Programming
JActor2 Quality
Best in #Reactive Programming
Average in #Reactive Programming

securitySecurity

  • JActor2 has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
  • JActor2 code analysis shows 0 unresolved vulnerabilities.
  • There are 0 security hotspots that need review.
JActor2 Security
Best in #Reactive Programming
Average in #Reactive Programming
JActor2 Security
Best in #Reactive Programming
Average in #Reactive Programming

license License

  • JActor2 does not have a standard license declared.
  • Check the repository for any license declaration and review the terms closely.
  • Without a license, all rights are reserved, and you cannot use the library in your applications.
JActor2 License
Best in #Reactive Programming
Average in #Reactive Programming
JActor2 License
Best in #Reactive Programming
Average in #Reactive Programming

buildReuse

  • JActor2 releases are available to install and integrate.
  • Build file is available. You can build the component from source.
  • It has 7139 lines of code, 842 functions and 163 files.
  • It has low code complexity. Code complexity directly impacts maintainability of the code.
JActor2 Reuse
Best in #Reactive Programming
Average in #Reactive Programming
JActor2 Reuse
Best in #Reactive Programming
Average in #Reactive Programming
Top functions reviewed by kandi - BETA

kandi has reviewed JActor2 and discovered the below as its top functions. This is intended to give you an instant insight into JActor2 implemented functionality, and help decide if they suit your requirements.

  • Close all openables .
    • Transfer an account to a new account
      • Evaluate the transaction .
        • Add a pending request .
          • Create and show an asynchronous operation .
            • Test an AOP
              • Returns true if the given EvaluReactorImpl is inolationReactor
                • Runs a AOP
                  • Get an indirectAO operation
                    • Validates the name .

                      Get all kandi verified functions for this library.

                      Get all kandi verified functions for this library.

                      JActor2 Key Features

                      Robust, Composable Actors

                      JActor2 Examples and Code Snippets

                      No Code Snippets are available at this moment for JActor2.

                      See all Code Snippets related to Reactive Programming

                      Community Discussions

                      Trending Discussions on Reactive Programming
                      • How to use RXJS to share a pool of resources between multiple consumers
                      • How to implement the logic without state variables
                      • Caching parallel request in Spring Webflux Mono
                      • Mirror at most 1 value from source, then temporarily drop values until another observable emits
                      • Project Reactor: buffer with parallel execution
                      • UseCases or Interactors with Kt Flow and Retrofit
                      • DT: Dynamically change column values based on selectinput from another column in R shiny app
                      • Send a list of objects one at time in reactive way
                      • Changing the target of a `whenever` block from the inside
                      • How to apply back pressure with Combine buffer operator to avoid flatMap to ask an infinite demand upstream?
                      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 JActor2

                      You can download it from GitHub.
                      You can use JActor2 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 JActor2 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

                      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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