reactive-streams-jvm | Reactive Streams Specification for the JVM | Reactive Programming library

 by   reactive-streams Java Version: v1.0.4 License: MIT-0

kandi X-RAY | reactive-streams-jvm Summary

kandi X-RAY | reactive-streams-jvm Summary

reactive-streams-jvm is a Java library typically used in Programming Style, Reactive Programming applications. reactive-streams-jvm has no vulnerabilities, it has build file available, it has a Permissive License and it has medium support. However reactive-streams-jvm has 39 bugs. You can download it from GitHub.

The purpose of Reactive Streams is to provide a standard for asynchronous stream processing with non-blocking backpressure. The latest release is available on Maven Central as.
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            kandi-support Support

              reactive-streams-jvm has a medium active ecosystem.
              It has 4632 star(s) with 510 fork(s). There are 274 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              There are 15 open issues and 247 have been closed. On average issues are closed in 245 days. There are 9 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of reactive-streams-jvm is v1.0.4

            kandi-Quality Quality

              reactive-streams-jvm has 39 bugs (0 blocker, 2 critical, 21 major, 16 minor) and 852 code smells.

            kandi-Security Security

              reactive-streams-jvm has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              reactive-streams-jvm code analysis shows 0 unresolved vulnerabilities.
              There are 5 security hotspots that need review.

            kandi-License License

              reactive-streams-jvm is licensed under the MIT-0 License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              reactive-streams-jvm 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 are not available. Examples and code snippets are available.
              reactive-streams-jvm saves you 4075 person hours of effort in developing the same functionality from scratch.
              It has 8662 lines of code, 1007 functions and 64 files.
              It has medium code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed reactive-streams-jvm and discovered the below as its top functions. This is intended to give you an instant insight into reactive-streams-jvm implemented functionality, and help decide if they suit your requirements.
            • Performs the actual runnable
            • Handles a request
            • Handles the onSubscribe
            • Attempts to schedule the subscriber to execute
            • Creates a Publisher
            • Creates a new instance of the given Subscriber
            • Retrieves the value of the reference reference in milliseconds
            • This method is called when a blackbox test is triggered
            • This benchmark is called when a blackbox test is triggered
            • Schedules a Subscription
            • Converts a ReactiveStreamsPublisher to a Flow Publisher
            • Converts a ReactiveStreams Processor to a Flow Processor
            • This method will be called when the test is received from the application
            • This method should be used for testing
            • Picks for a processor
            • Test whether subscriber is null
            • Handles the next element request
            • This benchmark uses a null pointer exception to set a null pointer exception
            • Attempts to be called with a nullPointerException
            • A test that is invoked when the subscriber has a subscription that has already been cancelled
            • This benchmark is only used for testing
            • Attempts to be called by the Blackbox API
            • Test to see if the Blackbox Specification is required
            • Create a subscriber
            Get all kandi verified functions for this library.

            reactive-streams-jvm Key Features

            No Key Features are available at this moment for reactive-streams-jvm.

            reactive-streams-jvm Examples and Code Snippets

            No Code Snippets are available at this moment for reactive-streams-jvm.

            Community Discussions

            QUESTION

            Creating a Happens Before Relationship with AtomicBoolean
            Asked 2017-Aug-27 at 09:20

            Reading this code AsyncSubscriber.java : The coder uses AtomicBoolean to create a Happens Before relationships, i want to know :

            1_ Is it equivalent to use a synchronized block ? it looks that the lines if (on.get()) dosn't ensure that the block

            ...

            ANSWER

            Answered 2017-Aug-27 at 09:20

            Yes, write/read to AtomicBolean etablishes a happens before relationship:

            compareAndSet and all other read-and-update operations such as getAndIncrement have the memory effects of both reading and writing volatile variables.

            Since you didn't post the entire code and we don't know how exactly this is used it is hard to say if it is thread safe or not, but:

            ad 1. it is not equivalent to synchronized block - threads do not wait

            ad 2. yes, it could be more efficient, but the compareAndSwap is not obligated to be backed by volatile variable - this is datail of implementation.

            ad 3. Hard to say, but the fact that run is a public method exposes some possibility of errors, eg if two threads will invoke the run directly when go will have the value of true. From my perspective it would be better to do compareAndSwap directly in the run method, but I don't know all the requirements, so it is just a suggestion.

            ad 4. Yes, AtomicBoolean is commonly used.

            Source https://stackoverflow.com/questions/45902711

            QUESTION

            Is it generally OK to use a Reactive Streams Processor as an event bus?
            Asked 2017-May-04 at 08:41

            I started learning about reactive streams because I was curious about this new trend of using RxJava as a replacement for more traditional event buses. This blog post is a typical description of how this is done. If I understand correctly, RxJava 1.x was not strictly an implementation of Reactive Streams, but it was very similar. Version 2.0 includes some classes that are compliant, or at least pass the TCK, so an updated version of this code may look a little different.

            ...

            ANSWER

            Answered 2017-May-04 at 08:41

            Subjects and Processors of standard RxJava 2 are relaxed so you don't have to call onSubscribe on them before calling the other methods. This is partly due to traditionality as 1.x Subjects didn't have an onSubscribe and partly due to the fact that RxJava 2 Processors don't coordinate requests between the Subscriber side and the Publisher side by choice and thus have no use for a Subscription.

            If you subscribe an RxJava Processor any RS compliant Publisher, they will appear to request Long.MAX_VALUE and relay signals as much as possible. If you subscribe an RS compliant Subscriber to RxJava Processors, they will honor the backpressure of those Subscribers and never overflow them, however, the lack of requests may result in individual MissingBackpressureException being emitted and the Subscriber "thrown" away. There is a custom Publisher in the extensions library that does coordinate requests.

            Am I correct in thinking that you cannot generally rely on this working with a compliant Reactive Streams implementation.

            There is nothing in the specification and thus not tested in the TCK what should happen with a Processor that didn't receive an onSubscribe call yet it needed it, therefore, I think this has become an implementation detail.

            There are two bigger issues here:

            1. Subjects were invented to bridge the imperative world with the reactive world and work nicely in GUI cases and non-backpressured cases as the multicasters of events. In reactive-reactive multicasts, they are better and more direct alternatives, such as publish(Function).
            2. Thinking in event bus is a step backwards because you create a single choke point by shoveling in and draining out events on a single "rail". In contrast, design for reactive favors individual and often independent streams where each stream can jump between threads as necessary and perhaps avoid the main thread till the very last moment.

            Source https://stackoverflow.com/questions/43770218

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

            Vulnerabilities

            No vulnerabilities reported

            Install reactive-streams-jvm

            You can download it from GitHub.
            You can use reactive-streams-jvm 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 reactive-streams-jvm 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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