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RxJavaFileUtils | File utilities with RxJava | Reactive Programming library

 by   ReactiveX Java Version: v0.1.4 License: Apache-2.0

 by   ReactiveX Java Version: v0.1.4 License: Apache-2.0

kandi X-RAY | RxJavaFileUtils Summary

RxJavaFileUtils is a Java library typically used in Programming Style, Reactive Programming applications. RxJavaFileUtils 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, Maven.
File utilities with RxJava
Support
Support
Quality
Quality
Security
Security
License
License
Reuse
Reuse

kandi-support Support

  • RxJavaFileUtils has a low active ecosystem.
  • It has 60 star(s) with 14 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 2 have been closed. On average issues are closed in 16 days. There are no pull requests.
  • It has a neutral sentiment in the developer community.
  • The latest version of RxJavaFileUtils is v0.1.4
RxJavaFileUtils Support
Best in #Reactive Programming
Average in #Reactive Programming
RxJavaFileUtils Support
Best in #Reactive Programming
Average in #Reactive Programming

quality kandi Quality

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

securitySecurity

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

license License

  • RxJavaFileUtils is licensed under the Apache-2.0 License. This license is Permissive.
  • Permissive licenses have the least restrictions, and you can use them in most projects.
RxJavaFileUtils License
Best in #Reactive Programming
Average in #Reactive Programming
RxJavaFileUtils License
Best in #Reactive Programming
Average in #Reactive Programming

buildReuse

  • RxJavaFileUtils releases are available to install and integrate.
  • 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 973 lines of code, 112 functions and 17 files.
  • It has medium code complexity. Code complexity directly impacts maintainability of the code.
RxJavaFileUtils Reuse
Best in #Reactive Programming
Average in #Reactive Programming
RxJavaFileUtils Reuse
Best in #Reactive Programming
Average in #Reactive Programming
Top functions reviewed by kandi - BETA

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

  • Registers a MacOSX event handler
    • Returns a CFIndex instance for the given integer
    • Recursively list all files in a directory and its subdirectories
  • Checks if this path starts with another
    • Returns the relative path of the file
      • Returns the first sibling of this file
        • Determine if this file starts with another
          • Returns a pending watch key or null if any
            • Resolves the path to the file
              • Gets a pending watch key from the queue
                • Resolves this file with another
                  • Returns the physical path of this file
                    • Return true if the file is absolute
                      • Return a portion of the path
                        • Returns the URI of this File
                          • Iterates over the underlying output files
                            • Returns the number of names in this class
                              • Returns the absolute path
                                • Returns the relative path relative to this one
                                  • Normalizes the path
                                    • Adds an event to the key list
                                      • Returns a pending key from the queue
                                        • Closes this channel
                                          • Stop stream
                                            • Resets the key
                                              • Returns a spliterator for the underlying contents

                                                Get all kandi verified functions for this library.

                                                Get all kandi verified functions for this library.

                                                RxJavaFileUtils Key Features

                                                File utilities with RxJava

                                                RxJavaFileUtils Examples and Code Snippets

                                                See all related Code Snippets

                                                Community Discussions

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                                                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 RxJavaFileUtils

                                                Binaries and dependency information for Maven, Ivy, Gradle and others can be found at http://search.maven.org.

                                                Support

                                                Google Group: RxJavaTwitter: @RxJavaGitHub Issues

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                                                • https://github.com/ReactiveX/RxJavaFileUtils.git

                                                • gh repo clone ReactiveX/RxJavaFileUtils

                                                • git@github.com:ReactiveX/RxJavaFileUtils.git

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