Get ready to experience fast and scalable performance in your web applications as we dive into the world of Reactive Programming. Our guide using WebFlux is perfect for both beginners and experts a like.
The objective of Student information System is to allow the administrator
of any organization to edit and find out the personal details of a student and
allows the student to keep up to date his profile .It’ll also facilitate keeping
all the records of students, such as their id, name, mailing address, phone
number, DOB etc. So all the information about an student will be available
in a few seconds.
Overall, it’ll make Student Information Management an easier job for the
administrator and the student of any organization. The main purpose of this SRS document is to illustrate the requirements of the project Student information System and is intended to help any organization to maintain and manage its student’s personal data.
This document discusses functional reactive programming and RxJava. It begins with an overview of functional reactive programming principles like being responsive, resilient, elastic and message-driven. It then covers architectural styles like hexagonal architecture and onion architecture. The rest of the document dives deeper into RxJava concepts like Observables, Observers, Operators, and Schedulers. It provides code examples to demonstrate merging, filtering and transforming streams of data asynchronously using RxJava.
Reactive solutions using java 9 and spring reactorOrenEzer1
This document discusses reactive programming concepts using Java 9 and Spring Reactor. It introduces reactive streams interfaces in Java 9 like Publisher, Subscriber, and Subscription. It then covers Spring Reactor implementations of these interfaces using Mono and Flux. Code examples are provided for creating simple reactive streams and combining them using operators. The threading model and use of schedulers in Spring Reactor is also briefly explained.
This document provides an overview of reactive programming in Java and Spring 5. It discusses reactive programming concepts like reactive streams specification, Reactor library, and operators. It also covers how to build reactive applications with Spring WebFlux, including creating reactive controllers, routing with functional endpoints, using WebClient for HTTP requests, and testing with WebTestClient.
This document provides an overview of reactive programming with RxJava. It begins with introductions to reactive programming and RxJava. It then discusses operators like map, filter, and flatMap that allow transforming and combining observable streams. It covers topics like error handling, threading with schedulers, subscriptions, and backpressure. The document includes examples of how to use various RxJava operators and concepts like transforming streams, handling errors, and improving performance with techniques like throttling.
1) Reactive programming is a new programming paradigm that is asynchronous and non-blocking, treating data flows as event-driven streams.
2) Traditional REST APIs are synchronous and blocking with limitations on concurrent users, while reactive programming supports asynchronous operations, uses fewer threads, and enables back pressure on data streams.
3) Key aspects of reactive programming include reactive streams specifications, publishers that represent data sources, subscribers, and asynchronous non-blocking libraries like RxJava and Project Reactor that implement the specifications.
An introduction to reactive programming concepts and basics. I aim here to show what's reactive programming, why it's used and show some frameworks and benchmarks that support it.
Node.js is an open-source JavaScript runtime environment that allows building scalable server-side and networking applications. It uses asynchronous, event-driven, non-blocking I/O which makes it lightweight and efficient for data-intensive real-time applications that run across distributed devices. Some key features of Node.js include excellent support for building RESTful web services, real-time web applications, IoT applications and scaling to many users. It uses Google's V8 JavaScript engine to execute code outside of a browser.
Reactors.io fuses the best parts of functional reactive programming and the Actor Model. Reactors are the basic units of concurrent execution which can perform computations as well. They allow you to create concurrent and distributed applications more easily, by providing correct, robust and composable programming abstractions.
Reactive programming by spring webflux - DN Scrum Breakfast - Nov 2018Scrum Breakfast Vietnam
Are you struggling to create a non-blocking REST application or a reactive micro-services? Spring WebFlux, a new module introduced by Spring 5 may help.
This new module introduces:
- Fully non-blocking
- Supports Reactive Streams back pressure
- Runs on such servers as Netty, Undertow, and Servlet 3.1+ containers
- Its support for the reactive programming model
In our next Scrum Breakfast, we will discuss Spring WebFlux, its benefit and how we implement it.
Our workshop will be including the following:
- What is reactive programming
- Introduction to Spring Webflux
- Tea break
- The details in Spring Webflux
- Reactive stack demonstration
- Q&A
This document provides an overview of reactive applications in Java using Project Reactor. It discusses the challenges of modern applications and how reactive programming addresses these challenges through asynchronous, non-blocking architectures. It introduces key concepts of reactive programming like Flux, Mono, operators, and backpressure. It also covers Project Reactor specifics like threading model, debugging, testing and learning resources. The goal is to explain why reactive programming is useful and provide an introduction to building reactive applications in Java with Project Reactor.
Angular provides a framework for building client-side web applications. It enhances HTML with directives, data binding, and dependency injection to allow web applications to be developed with MVC architecture. The key concepts of Angular include directives, modules, scopes, and data binding which allow building dynamic views that update automatically based on changes to the underlying model/data.
React gsg presentation with ryan jung & elias malikLama K Banna
React is a client-side JavaScript library for building user interfaces that is made and open-sourced by Facebook. It uses a virtual DOM for fast rendering and reusable components to build up the UI. Components can have their own state that causes re-rendering when updated. Events are handled through callbacks. JSX allows writing HTML-like code mixed with JavaScript.
Managing state across complex apps with many interacting components can be challenging. Flux and Redux address this with a single source of truth store and reducer functions that update state immutably in response to actions. Side effects like API calls require middleware like thunks, sagas, or API-specific middleware to isolate impure logic from pure reducers.
Vert.x is a toolkit for building reactive microservices applications on the JVM. It uses the reactor pattern with a single-threaded event loop to avoid the C10K problem. Verticles are lightweight concurrent units that communicate asynchronously via an event bus. This allows building scalable and reactive microservices. Vert.x supports websockets, clustering, reactive programming with RxJava, and can be deployed to production environments like AWS. It also integrates with Spring for dependency injection and configuration.
Building a Reactive System with Akka - Workshop @ O'Reilly SAConf NYCKonrad Malawski
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Presented with Henrik Engstrom at O'Reilly Software Architecture Conference in New York City in 2017
Rx is a generic abstraction of computation expressed through Observable<Element> interface, which lets you broadcast and subscribe to values and other events from an Observable stream.
Орхан Гасимов: "Reactive Applications in Java with Akka"Anna Shymchenko
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Multi-service reactive streams using Spring, Reactor, RSocketStéphane Maldini
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Slides of a talk of a seminars series I gave at WebRatio in January 2014.
I implemented many best practices and advices in this presentation in a generic app template available here: https://github.com/iivanoo/cordovaboilerplate
Reactive Extensions (Rx) is a library for composing asynchronous and event-based programs using Observable sequences. RxJava implements Rx for the Java VM. Key advantages include simplifying async operations, surfacing errors sooner, and reducing state bugs. The API has a large surface area, so the learning curve is steep. RxJava 2 is recommended over 1 due to better performance, lower memory usage, and other improvements. Observables push data to Observers via onNext, onError, onCompleted calls. Common operators like map, flatMap, filter transform and combine Observable streams. Multithreading uses Schedulers. Unit testing uses TestSubscriber to make assertions.
Yakov Fain discusses reactive programming with RxJava2. He begins by describing the challenges of asynchronous and multi-threaded programming that reactive programming addresses. He then covers key RxJava2 concepts like Observables, Operators, Backpressure, and Schedulers. The document provides examples of creating Observables and Subscribers and using various operators to transform and compose Observable streams in a reactive and functional way.
Meteor is a JavaScript platform for building mobile and web applications. It allows developers to use JavaScript on both the client and server, write code that is shared between client and server, and automatically syncs data between clients in real-time. The seven principles of Meteor are data on the wire, one language, database everywhere, latency compensation, full stack reactivity, embrace the ecosystem, and simplicity equals productivity. To get started with Meteor, install Node.js and Meteor, create an example app, and run it. File structure separates code by server, client, and common functionality.
This document provides an overview of the MEAN stack and demonstrates how to build a sample application with it. It begins with defining each component of the MEAN stack: MongoDB as the database, Express as the web application framework, AngularJS for the frontend framework, and Node.js as the runtime environment. It then demonstrates setting up a basic Express app, integrating authentication with Passport, and interacting with MongoDB using Mongoose. The document also discusses key concepts like asynchronous I/O in Node.js and model-view-controller patterns in AngularJS. Overall, it serves as a high-level introduction to the technologies that make up the MEAN stack.
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Are you struggling to create a non-blocking REST application or a reactive micro-services? Spring WebFlux, a new module introduced by Spring 5 may help.
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- Fully non-blocking
- Supports Reactive Streams back pressure
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In our next Scrum Breakfast, we will discuss Spring WebFlux, its benefit and how we implement it.
Our workshop will be including the following:
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Angular provides a framework for building client-side web applications. It enhances HTML with directives, data binding, and dependency injection to allow web applications to be developed with MVC architecture. The key concepts of Angular include directives, modules, scopes, and data binding which allow building dynamic views that update automatically based on changes to the underlying model/data.
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Vert.x is a toolkit for building reactive microservices applications on the JVM. It uses the reactor pattern with a single-threaded event loop to avoid the C10K problem. Verticles are lightweight concurrent units that communicate asynchronously via an event bus. This allows building scalable and reactive microservices. Vert.x supports websockets, clustering, reactive programming with RxJava, and can be deployed to production environments like AWS. It also integrates with Spring for dependency injection and configuration.
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I implemented many best practices and advices in this presentation in a generic app template available here: https://github.com/iivanoo/cordovaboilerplate
Reactive Extensions (Rx) is a library for composing asynchronous and event-based programs using Observable sequences. RxJava implements Rx for the Java VM. Key advantages include simplifying async operations, surfacing errors sooner, and reducing state bugs. The API has a large surface area, so the learning curve is steep. RxJava 2 is recommended over 1 due to better performance, lower memory usage, and other improvements. Observables push data to Observers via onNext, onError, onCompleted calls. Common operators like map, flatMap, filter transform and combine Observable streams. Multithreading uses Schedulers. Unit testing uses TestSubscriber to make assertions.
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Guide to Spring Reactive Programming using WebFlux
1. Guide to Spring Reactive Programming using
WebFlux
Reactive programming is a programming paradigm that promotes an asynchronous,
non-blocking, event driven approach to data processing. Reactive programming
involves modelling data and events as observable data streams and implementing
data processing routines to react to the changes in those streams.
In the reactive style of programming, we make a request for the resource and start
performing other things. When the data is available, we get the notification along
with the data in the form of call back function. In the callback function, we handle
the response as per application /user needs.
Features of Reactive Programming
• Asynchronous & Non-blocking
• Functional style of coding
2. • Data flow as event driven stream
• Backpressure on data streams
When considering whether to use Spring MVC or Spring WebFlux, there are various
factors you must consider.
Spring MVC: It’s based on a servlet API and follows an imperative programming
model. This means you write code in a step-by-step manner, which is generally easier
to follow.
Spring WebFlux: It offers a reactive programming model. Reactive programming is
about handling asynchronous streams of data. This requires a change in thinking and
can be more challenging than the traditional imperative model.
Spring MVC: If you are familiar with traditional web application development, Spring
MVC’s imperative model might seem more straightforward. It’s easier to read, write,
and understand for developers accustomed to this approach.
Spring WebFlux: Writing reactive code can initially seem complex because of the
shift in mindset. However, for some use cases, like streaming data, it can simplify
your code.
Spring MVC: Debugging is typically more straightforward with an imperative model
because the call stacks are more predictable and easier to trace.
3. Spring WebFlux: Debugging reactive streams can be tricky, especially for developers
new to the reactive paradigm. However, tools and practices are evolving to better
support this.
Spring MVC: Works naturally with blocking resources like traditional RDBMS using
JDBC or JPA (Java Persistence API).
Spring WebFlux: If you have blocking dependencies like traditional databases, you
might not get the full benefits of the reactive model. However, reactive databases
like MongoDB Reactive, Cassandra Reactive, etc., can be integrated natively with
WebFlux.
Spring MVC: Uses a thread-per-request model. For a high number of simultaneous
connections, this can lead to a large number of threads, which may not be efficient.
Spring WebFlux: Uses an event-loop concurrency model, which can handle a vast
number of simultaneous connections with a smaller number of threads. It’s designed
for high concurrency.
Spring MVC: Typically runs on servlet containers like Tomcat, Jetty, etc.
Spring WebFlux: Runs on reactive runtimes like Netty. This provides non-blocking
and highly scalable operations, suitable for high-performance systems.
Spring MVC: Typically uses annotated controllers.
Spring WebFlux: In addition to annotated controllers, WebFlux supports functional
endpoints which allow for programmatic route definitions.
Spring WebFlux:
As we know, Spring provides Web MVC framework to handle the HTTP requests, but
it is Blocking & Non-Reactive in nature, so to support reactive programming Spring
provides one more web framework in Spring 5 (includes in Spring Boot 2.0) called
WebFlux.
4. It is a reactive-stack web framework that is fully non-blocking, supports reactive
streams back pressure. It uses project Reactor as a reactive library. The Reactor is a
Reactive Streams Library and therefore, all of its operators support non-blocking
back pressure.
It uses two publishers:
• Mono
• Flux
MONO:
A mono is a specialized Publisher that emits at most one item and then optionally
terminates with an onComplete signal or an onError signal. In short, it returns 0 or 1
element.
• Mono is another implementation of Publisher.
• It emits at most one item and then (optionally) terminates with an
onComplete signal or an onError signal.
• Like Flux, Mono is also asynchronous in nature.
Mono noData = Mono.empty();
Mono data = Mono.just(“rishi”);
FLUX:
A flux is a standard Publisher representing an asynchronous sequence of 0 to N
emitted items, optionally terminated by either a completion signal or an error. These
three types of signals translate to calls to a downstream subscriber’s onNext,
onComplete, or onError methods.
• Flux is an implementation of Publisher.
• It will emit 0 to N elements and/or a complete or an error call.
• Stream pipeline is synchronous whereas Flux pipeline is completely
asynchronous. It will emit values only when there is a downstream subscriber.
To subscribe, we need to call the subscribe method on Flux. There are different
variants of the subscribe method available, which we need to use as per the need:
Flux flux1 = Flux.just(“foo”, “bar”, “foobar”);
5. Flux flux2 = Flux.fromIterable(Arrays.asList(“A”, “B”, “C”));
Flux flux3 = Flux.range(5, 3);
// subscribe
flux.subscribe();
Frequently used operations on Mono/Flux
• just(-): Create a new Mono that emits the specified item, which is captured at
instantiation time.
• fromArray(-): Create a Flux that emits the items contained in the provided
array.
• fromIterable(-): Create a Flux that emits the items contained in the provided
iterable. The Iterable.iterator() method will be invoked at least once and at
most twice for each subscriber.
• fromStream(-): Create a Flux that emits the items contained in a Stream
created by the provided Supplier for each subscription. The Stream is closed
automatically by the operator on cancellation, error, or completion.
• empty(): Create a Flux that completes without emitting any item.
• doOnNext(-): Add behaviour (side-effect) triggered when the Flux emits an
item.
• doOnComplete(-): Add behaviour (side-effect) triggered when the Flux
completes successfully.
• doOnError(-): Add behaviour (side-effect) triggered when the Flux completes
with an error.
• map(-): Transform the items emitted by this Flux by applying a synchronous
function to each item.
• flatMap(-): Transform the item emitted by this Mono asynchronously,
returning the value emitted by another Mono (possibly changing the value
type).
• subscribe(-, -, -): Subscribe a Consumer to this Flux that will consume all the
elements in the sequence. It will request an unbounded demand.
• log(): Observe all Reactive Streams signals and trace them using Logger
support. Default will use Level.INFO and java.util.logging. If SLF4J is available,
it will be used instead.
6. • delayElements(-): Delay each of this Flux elements (Subscriber.onNext signals)
by a given Duration. Signals are delayed and continue the parallel default
Scheduler, but empty sequences or immediate error signals are not delayed.
• block(): Subscribe to this Mono and block indefinitely until a next signal is
received. Returns that value, or null if the Mono completes empty. In case the
Mono errors, the original exception is thrown (wrapped in a RuntimeException
if it was a checked exception)
Working with Spring Web Flux –
Understanding the Reactive nature
Requirement: Send Promos to all the customers of an e-Commerce website
Step-1: Create a Spring Boot project using Maven (Choose Spring Boot version 2.0 or
later)
Step-2: Add the below spring-boot-starter-webflux dependency in pom.xml
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-webflux</artifactId>
</dependency>
This dependency includes the below dependencies
• spring-webflux framework
• reactor-core that we need for reactive streams
reactor-netty (the default server that supports reactive streams). Any other servlet
3.1+ containers like Tomcat, Jetty or non-servlet containers like Undertow can be
used as well
Version will be picked from spring-boot-starter-parent dependency version
Step-3: Create a Customer DTO class with the fields Id, Name & Email Id
7. Step-4: Create a Customer Repo with 2 functions loadCustomers(),
loadCustomerStream() as in the below snapshot.
8. Step-5: Create a Customer Service with 2 functions, one is to send promos to list of
customers, another is to send promos to customer stream
9. Step-6: Create a Customer REST Controller with 2 end points as in the below
screenshot
Summary:
Spring introduced a Multi-Event Loop model to enable a reactive stack known as
WebFlux. It is a fully non-blocking and annotation-based web framework built on
Project Reactor which allows building reactive web applications on the HTTP layer. It
provides support for popular inbuilt severs like Netty, Undertow, and Servlet 3.1
containers.
WebFlux is also relevant for applications that need scalability or to stream request
data in real time. While implementing a micro-service in WebFlux we must consider
that the entire flow uses reactive and asynchronous programming and none of the
operations are blocking in nature.
Originally published by: Guide to Spring Reactive Programming using WebFlux