From 14103fcb4f39cc1c3a7c2f27915a5967da5dc7bc Mon Sep 17 00:00:00 2001 From: Clement Escoffier Date: Thu, 3 Jun 2021 17:58:46 +0200 Subject: [PATCH] Start rewriting the reactive documentation --- docs/src/main/asciidoc/cassandra.adoc | 3 +- .../main/asciidoc/context-propagation.adoc | 3 +- .../asciidoc/getting-started-reactive.adoc | 980 ++++-------------- docs/src/main/asciidoc/getting-started.adoc | 2 +- .../main/asciidoc/grpc-getting-started.adoc | 2 +- .../main/asciidoc/images/blocking-threads.png | Bin 0 -> 418157 bytes .../main/asciidoc/images/proactor-pattern.png | Bin 0 -> 159640 bytes .../asciidoc/images/quarkus-reactive-core.png | Bin 0 -> 232749 bytes .../asciidoc/images/reactive-guide-code.png | Bin 0 -> 352108 bytes .../main/asciidoc/images/reactive-systems.png | Bin 0 -> 68680 bytes .../main/asciidoc/images/reactive-thread.png | Bin 0 -> 349616 bytes docs/src/main/asciidoc/mailer.adoc | 3 +- docs/src/main/asciidoc/mongodb-panache.adoc | 3 +- docs/src/main/asciidoc/mongodb.adoc | 3 +- docs/src/main/asciidoc/mutiny-primer.adoc | 340 ++++++ docs/src/main/asciidoc/neo4j.adoc | 3 +- .../quarkus-reactive-architecture.adoc | 193 ++++ .../src/main/asciidoc/reactive-event-bus.adoc | 3 +- .../main/asciidoc/reactive-sql-clients.adoc | 2 +- .../main/asciidoc/rest-client-reactive.adoc | 3 +- docs/src/main/asciidoc/rest-client.adoc | 3 +- docs/src/main/asciidoc/rest-json.adoc | 3 +- docs/src/main/asciidoc/resteasy-reactive.adoc | 2 +- docs/src/main/asciidoc/vertx.adoc | 2 +- 24 files changed, 753 insertions(+), 800 deletions(-) create mode 100644 docs/src/main/asciidoc/images/blocking-threads.png create mode 100644 docs/src/main/asciidoc/images/proactor-pattern.png create mode 100644 docs/src/main/asciidoc/images/quarkus-reactive-core.png create mode 100644 docs/src/main/asciidoc/images/reactive-guide-code.png create mode 100644 docs/src/main/asciidoc/images/reactive-systems.png create mode 100644 docs/src/main/asciidoc/images/reactive-thread.png create mode 100644 docs/src/main/asciidoc/mutiny-primer.adoc create mode 100644 docs/src/main/asciidoc/quarkus-reactive-architecture.adoc diff --git a/docs/src/main/asciidoc/cassandra.adoc b/docs/src/main/asciidoc/cassandra.adoc index 3062f13589d59..138e4867783f5 100644 --- a/docs/src/main/asciidoc/cassandra.adoc +++ b/docs/src/main/asciidoc/cassandra.adoc @@ -413,8 +413,7 @@ link:https://javadoc.io/doc/com.datastax.oss.quarkus/cassandra-quarkus-client/la interface] gives you access to a series of reactive methods that integrate seamlessly with Quarkus and its reactive framework, Mutiny. -TIP: If you're not familiar with Mutiny, read the -link:https://quarkus.io/guides/getting-started-reactive[Getting Started with Reactive guide] first. +TIP: If you are not familiar with Mutiny, please check xref:mutiny-primer.adoc[Mutiny - an intuitive reactive programming library]. Let's rewrite our application using reactive programming with Mutiny. diff --git a/docs/src/main/asciidoc/context-propagation.adoc b/docs/src/main/asciidoc/context-propagation.adoc index 7451e6c220a36..73f4b0979d92c 100644 --- a/docs/src/main/asciidoc/context-propagation.adoc +++ b/docs/src/main/asciidoc/context-propagation.adoc @@ -57,7 +57,8 @@ With this, you will get context propagation for ArC, RESTEasy and transactions, [TIP] .Mutiny ==== -This section uses Mutiny reactive types, if you're not familiar with them, read the link:getting-started-reactive#mutiny[Getting Started with Reactive guide] first. +This section uses Mutiny reactive types. +If you are not familiar with Mutiny, check xref:mutiny-primer.adoc[Mutiny - an intuitive reactive programming library]. ==== Let's write a REST endpoint that reads the next 3 items from a link:kafka[Kafka topic], stores them in a database using diff --git a/docs/src/main/asciidoc/getting-started-reactive.adoc b/docs/src/main/asciidoc/getting-started-reactive.adoc index 82fb70d4ca577..1330c96deb259 100644 --- a/docs/src/main/asciidoc/getting-started-reactive.adoc +++ b/docs/src/main/asciidoc/getting-started-reactive.adoc @@ -3,912 +3,326 @@ This guide is maintained in the main Quarkus repository and pull requests should be submitted there: https://github.com/quarkusio/quarkus/tree/main/docs/src/main/asciidoc //// -= Quarkus - Getting started with Reactive += Getting Started With Reactive include::./attributes.adoc[] -Learn how to create a reactive application with Quarkus and explore the different reactive features offered by Quarkus. -This guide covers: +_Reactive_ is a set of principles to build robust, efficient, and concurrent applications and systems. +These principles let you handle more load than traditional approaches while using the resources (CPU and memory) more efficiently while also reacting to failures gracefully. -* A quick glance at the Quarkus engine and how it enables reactive -* A brief introduction to Mutiny - the reactive programming library used by Quarkus -* The difference between RESTEasy, RESTEasy Reactive and Reactive Routes -* The bootstrap of a reactive application using RESTEasy Reactive -* Creating a reactive JAX-RS endpoint (asynchronous, streams...) -* Using reactive database access -* Interacting with other reactive APIs +Quarkus is a _Reactive_ framework. +Since the beginning, _Reactive_ has been an essential tenet of the Quarkus architecture. +It includes many reactive features and offers a broad ecosystem. + +This guide is not an in-depth article about what _Reactive_ is and how Quarkus enables reactive architectures. +If you want to read more about these topics, refer to xref:quarkus-reactive-architecture.adoc[], which provides an overview of the Quarkus reactive ecosystem. + +In this guide, we will get you started with some reactive features of Quarkus. +We are going to implement a simple CRUD application. +Yet, unlike in the xref:hibernate-orm-panache.adoc[Hibernate with Panache guide], it uses the reactive features of Quarkus. + +This guide will help you with: + +* Bootstrapping a reactive CRUD application with Quarkus +* Using Hibernate Reactive with Panache to interact with a database in a reactive fashion +* Using RESTEasy Reactive to implement HTTP API while enforcing the reactive principle +* Packaging and Running the application == Prerequisites To complete this guide, you need: -* less than 15 minutes -* an IDE -* JDK 11+ installed with `JAVA_HOME` configured appropriately +* around 15 minutes +* your favorite IDE +* Java 11+ installed with `JAVA_HOME` configured appropriately. * Apache Maven {maven-version} -== Solutions +NOTE: Verify that Maven is using the Java version you expect. +If you have multiple JDKs installed, make sure Maven is using the expected one. +You can verify which JDK Maven uses by running `mvn --version.` -We recommend that you follow the instructions from <> and onwards to create the application step by step. +== Imperative vs. Reactive: a question of threads -However, you can go right to the completed example. +As mentioned above, in this guide, we are going to implement a reactive CRUD application. +But you may wonder what the differences and benefits are in comparison to the traditional and imperative model. -Download an {quickstarts-archive-url}[archive] or clone the git repository: +To better understand the contrast, we need to explain the difference between the reactive and imperative execution models. +It's essential to comprehend that _Reactive_ is not just a different execution model, but that distinction is necessary to understand this guide. -[source,bash,subs=attributes+] ----- -git clone {quickstarts-clone-url} ----- +In the traditional and imperative approach, frameworks assign a thread to handle the request. +So, the whole processing of the request runs on this worker thread. +This model does not scale very well. +Indeed, to handle multiple concurrent requests, you need multiple threads; and so your application concurrency is constrained by the number of threads. +In addition, these threads are blocked as soon as your code interacts with remote services. +So, it leads to inefficient usage of the resources, as you may need more threads, and each thread, as they are mapped to OS threads, has a cost in terms of memory and CPU. -The solutions are located in the `getting-started-reactive` and `getting-started-reactive-crud` directories. +image::blocking-threads.png[alt=Imperative Execution Model and Worker Threads] -== The multiple reactive facets of Quarkus +On the other side, the reactive model relies on non-blocking I/Os and a different execution model. +Non-blocking I/O provides an efficient way to deal with concurrent I/O. +A minimal amount of threads called I/O threads, can handle many concurrent I/O. +With such a model, request processing is not delegated to a worker thread but uses these I/O threads directly.It saves memory and CPU as there is no need to create worker threads to handle the requests. +It also improves the concurrency as it removes the constraint on the number of threads. +Finally, it also improves response time as it reduces the number of thread switches. -Quarkus is reactive. -If you look under the hood, you will find a reactive engine powering your Quarkus application. -This engine is Eclipse Vert.x (https://vertx.io). -All network I/O passes through the non-blocking and reactive Vert.x engine. +image::reactive-thread.png[alt=Reactive Execution Model and I/O Threads] -image:quarkus-reactive-stack.png[alt=Quarkus is based on a reactive engine, 70%] -Let's take 2 examples to explain how it works. -Imagine an incoming HTTP request. -The (Vert.x) HTTP server, embedded in Quarkus, receives the request and then routes it to the application. -If the request targets an _imperative_ method (traditional JAX-RS, code annotated with `@Blocking`...), the routing layer invokes the resource method in a _worker_ thread and writes the response when the data is available. -So far, nothing new or outstanding. -The following picture depicts this behavior. -In this case, the application code is invoked on a worker thread, and the business logic can block that thread. +== From sequential to continuation style -image:http-blocking-sequence.png[alt=Behavior when using the imperative routes, 70%] +So, with the reactive execution model, the requests are processed using I/O threads. +But that's not all. +An I/O thread can handle multiple concurrent requests. +How? Here is the trick and one of the most significant differences between reactive and imperative. -But, if the HTTP request targets a reactive method (JAX-RS using RESTEasy Reactive, reactive routes, `@Incoming` method not annotated with `@Blocking`...), the routing layer invokes the route on the I/O thread giving lots of benefits such as higher concurrency and performance: +When processing a request requires interacting with a remote service, like an HTTP API or a database, it does not block the execution while waiting for the response. +Instead, it schedules the I/O operation and attaches a continuation, i.e., the request processing remaining code. +This continuation can be passed as a callback (a function invoked with the I/O outcome), or use more advanced constructs such as reactive programming or co-routines. +Regardless of how the continuation is expressed, the essential aspect is the release of the I/O thread and, as a consequence, the fact that this thread can be used to process another request. +When the scheduled I/O completes, the I/O thread executes the continuation, and the processing of the pending request continues. -image:http-reactive-sequence.png[alt=Behavior when using the reactive routes, 70%] +So, unlike the imperative model, where I/O blocks the execution, reactive switches to a continuation-based design, where the I/O threads are released, and continuation invoked when the I/Os complete. +As a result, the I/O thread can handle multiple concurrent requests, improving the overall concurrency of the application. -Because Quarkus uses the I/O thread to invoke your code, we save context-switches, avoid large thread pool management, and so improve the resource utilization. -However, the code must **NOT** block that thread. -Why? Because, I/O threads are used to handle multiple concurrent requests. -As soon as the handling of a request cannot make progress because it needs to execute some I/O, it schedules these I/O and passes a continuation. -It releases the thread which can handle another request. -When the scheduled I/O complete, the continuation is executed, back on the I/O thread. +But, there is a catch. +We need a way to write continuation-passing code. +There are many ways of doing this. +In Quarkus, we propose: -As a consequence, many Quarkus components are designed with reactive in mind, such as database access (PostgreSQL, MySQL, Mongo, etc.), application services (mail, template engine, etc.), messaging (Kafka, AMQP, etc.) and so on. -But, to fully benefit from this model, the application code should be written in a non-blocking manner. -That’s where having a reactive API is an ultimate weapon. +* Mutiny - an intuitive and event-driven reactive programming library +* Kotlin co-routines - a way to write asynchronous code in a sequential manner -[[mutiny]] -== Mutiny - A reactive programming library +In this guide, we will use Mutiny. +To know more about Mutiny, check the xref:mutiny-primer.adoc[Mutiny documentation]. -https://github.com/smallrye/smallrye-mutiny[Mutiny] is a reactive programming library allowing to express and compose asynchronous actions. -It offers two types: +NOTE: Project Loom is coming to the JDK soon and proposes a virtual thread-based model. +The Quarkus architecture is ready to support Loom as soon as it's become globally available. -* `io.smallrye.mutiny.Uni` - for asynchronous action providing 0 or 1 result -* `io.smallrye.mutiny.Multi` - for multi-item (with back-pressure) streams - -Both types are lazy and follow a subscription pattern. -The computation only starts once there is an actual need for it (i.e. a subscriber enlists). - -[source, java] ----- -uni.subscribe().with( - result -> System.out.println("result is " + result), - failure -> failure.printStackTrace() -); - -multi.subscribe().with( - item -> System.out.println("Got " + item), - failure -> failure.printStackTrace() -); ----- +== Bootstrapping the Reactive Fruits application -Both `Uni` and `Multi` expose event-driven APIs: you express what you want to do upon a given event (success, failure, etc.). -These APIs are divided into groups (types of operations) to make it more expressive and avoid having 100s of methods attached to a single class. -The main types of operations are about reacting to failure, completion, manipulating items, extracting, or collecting them. -It provides a smooth coding experience, with a navigable API, and the result does not require too much knowledge around reactive. +With this in mind, let's see how we can develop a CRUD application with Quarkus, which will use the I/O thread to handle the HTTP requests, interact with a database, process the result, and write the HTTP response; in other words: a reactive CRUD application. -[source, java] ----- -httpCall - .onFailure().recoverWithItem("my fallback"); ----- +While we recommend you to follow the step-by-step instructions, you can find the final solution on https://github.com/quarkusio/quarkus-quickstarts/tree/main/hibernate-reactive-panache-quickstart. -You may wonder about Reactive Streams (https://www.reactive-streams.org/). -`Multi` implements Reactive Streams `Publisher`, and so implements the Reactive Streams back-pressure mechanism. -`Uni` does not implement `Publisher` as the subscription to the `Uni` is enough to indicate you are interested in the result. -It is again with the idea of simpler and smoother APIs in mind as the Reactive Streams subscription/request ceremony is more complex. +First, go to https://code.quarkus.io[code.quarkus.io] and select the following extensions: -Embracing the unification of reactive and imperative pillars from Quarkus, both `Uni` and `Multi` provide bridges to imperative constructs. -For example, you can transform a `Multi` into an `Iterable` or _await_ the item produced by a `Uni`. +1. RESTEasy Reactive Jackson +2. Hibernate Reactive with Panache +3. Reactive PostgreSQL client -[source, java] ----- -// Block until the result is available -String result = uni.await().indefinitely(); +image::reactive-guide-code.png[alt=Extensions to select in https://code.quarkus.io] -// Transform an asynchronous stream into a blocking iterable -stream.subscribe().asIterable().forEach(s -> System.out.println("Item is " + s)); ----- +The last extension is the reactive database driver for PostgreSQL. +Hibernate Reactive uses that driver to interact with the database without blocking the caller thread. -At that point, if you are a RxJava or a Reactor user, you may wonder how you can use your familiar `Flowable`, `Single`, `Flux`, `Mono`... -Mutiny allows converting `Unis` and `Multis` from and to RX Java and Reactor types: +Once selected, click on "Generate your application", download the zip file, unzip it and open the code in your favorite IDE. -[source, java] ----- -Maybe maybe = uni.convert().with(UniRxConverters.toMaybe()); -Flux flux = multi.convert().with(MultiReactorConverters.toFlux()); ----- +== Reactive Panache Entity -But, what about Vert.x? -Vert.x APIs are also available using Mutiny types. -The following snippet shows a usage of the Vert.x Web Client: +Let's start with the `Fruit` entity.Create the `src/main/java/org/acme/hibernate/orm/panache/Fruit.java` file with the following content: [source, java] ---- -// Use io.vertx.mutiny.ext.web.client.WebClient -client = WebClient.create(vertx, - new WebClientOptions().setDefaultHost("fruityvice.com").setDefaultPort(443).setSsl(true) - .setTrustAll(true)); -// ... -Uni uni = - client.get("/api/fruit/" + name) - .send() - .onItem().transform(resp -> { - if (resp.statusCode() == 200) { - return resp.bodyAsJsonObject(); - } else { - return new JsonObject() - .put("code", resp.statusCode()) - .put("message", resp.bodyAsString()); - } - }); ----- - -Last but not least, Mutiny has built-in integration with SmallRye Context Propagation so you can propagate transactions, traceability data, and so on in your reactive pipeline. +package org.acme.hibernate.orm.panache; -But enough talking, let's get our hands dirty! +import javax.persistence.Cacheable; +import javax.persistence.Column; +import javax.persistence.Entity; -== Bootstrapping the project +import io.quarkus.hibernate.reactive.panache.PanacheEntity; // <1> -There are several ways to implement reactive application with Quarkus. -In this guide we are going to use RESTEasy Reactive, an implementation of RESTEasy benefiting from the Quarkus reactive engine. -By default, it invokes the HTTP endpoint on the I/O thread. +@Entity +@Cacheable +public class Fruit extends PanacheEntity { -IMPORTANT: While it's possible to use _traditional_ RESTEasy, you would need to add the `quarkus-resteasy-mutiny` extension, and the method will still be invoked on a _worker_ thread. -So, while it would use reactive programming, it would still require worker threads, which defeats the purpose. + @Column(length = 40, unique = true) + public String name; -The easiest way to create a new Quarkus project is to open a terminal and run the following command: - -For Linux and macOS users - -[source,bash,subs=attributes+] ----- -mvn io.quarkus:quarkus-maven-plugin:{quarkus-version}:create \ - -DprojectGroupId=org.acme \ - -DprojectArtifactId=getting-started-reactive \ - -DclassName="org.acme.getting.started.ReactiveGreetingResource" \ - -Dpath="/hello" \ - -Dextensions="resteasy-reactive" -cd getting-started-reactive +} ---- +1. Make sure you import the reactive variant of `PanacheEntity`. -For Windows users +This class represents `Fruits`. +It's a straightforward entity with a single field (`name`). +Note that it uses `io.quarkus.hibernate.reactive.panache.PanacheEntity`, the reactive variant of `PanacheEntity`. +So, behind the scenes, Hibernate uses the execution model we described above. +It interacts with the database without blocking the thread. +In addition, this reactive `PanacheEntity` proposes a reactive API. +We will use this API to implement the REST endpoint. -- If using cmd, (don't use forward slash `\`) +Before going further, open the `src/main/resource/application.properties` file and add: -[source,bash,subs=attributes+] ----- -mvn io.quarkus:quarkus-maven-plugin:{quarkus-version}:create -DprojectGroupId=org.acme -DprojectArtifactId=getting-started-reactive -DclassName="org.acme.getting.started.ReactiveGreetingResource" -Dpath="/hello" -Dextensions="resteasy-reactive" ----- - -- If using Powershell, wrap `-D` parameters in double quotes - -[source,bash,subs=attributes+] +[source, properties] ---- -mvn io.quarkus:quarkus-maven-plugin:{quarkus-version}:create "-DprojectGroupId=org.acme" "-DprojectArtifactId=getting-started-reactive" "-DclassName=org.acme.getting.started.ReactiveGreetingResource" "-Dpath=/hello" "-Dextensions=resteasy-reactive" +quarkus.datasource.db-kind=postgresql +quarkus.hibernate-orm.database.generation=drop-and-create ---- -It generates the following in `./getting-started-reactive`: - -* the Maven structure -* an `org.acme.quickstart.ReactiveGreetingResource` resource exposed on `/hello` -* an associated unit test -* a landing page that is accessible on `http://localhost:8080` after starting the application -* example `Dockerfile` files for both `native` and `jvm` modes in `src/main/docker` -* the application configuration file +It instructs the application to use PostgreSQL for the database and to handle the database schema generation. -=== Reactive JAX-RS resources +In the same directory, create an `import.sql` file, which inserts a few fruits, so we don't start with an empty database in dev mode: -During the project creation, the `src/main/java/org/acme/getting/started/ReactiveGreetingResource.java` file has been created with the following content: - -[source,java] +[source, text] ---- -package org.acme.getting.started; - -import javax.ws.rs.GET; -import javax.ws.rs.Path; -import javax.ws.rs.Produces; -import javax.ws.rs.core.MediaType; - -@Path("/hello") -public class ReactiveGreetingResource { - - @GET - @Produces(MediaType.TEXT_PLAIN) - public String hello() { - return "Hello RESTEasy Reactive"; - } -} +INSERT INTO fruit(id, name) VALUES (nextval('hibernate_sequence'), 'Cherry'); +INSERT INTO fruit(id, name) VALUES (nextval('hibernate_sequence'), 'Apple'); +INSERT INTO fruit(id, name) VALUES (nextval('hibernate_sequence'), 'Banana'); ---- -It's a very simple REST endpoint, returning "Hello RESTEasy Reactive" to requests on "/hello". -As it uses RESTEAsy Reactive, this method is called on the I/O thread. +In a terminal, launch the application in dev mode using: `./mvnw quarkus:dev`. +Quarkus automatically starts a database instance for you and configure the application. Now we only need to implement the HTTP endpoint. -[NOTE] -==== -To instruct Quarkus to invoke this method on a _worker_ thread, annotate it with the `io.smallrye.common.annotation.Blocking` annotation. -You can use `@Blocking` on a method, class or enable it for the whole application by annotated an `Application` class: -[source, java] ----- -import javax.ws.rs.ApplicationPath; -import javax.ws.rs.core.Application; -import io.smallrye.common.annotation.Blocking; +== Reactive Resource -@ApplicationPath("/") -@Blocking -public class RestBlockingApplication extends Application { -} ----- -==== +Because the interaction with the database is non-blocking and asynchronous, we need to use asynchronous constructs to implement our HTTP resource. +Quarkus uses Mutiny as its central reactive programming model. +So, it supports returning Mutiny types (`Uni` and `Multi`) from HTTP endpoints. +Also, our Fruit Panache entity exposes methods using these types, so we only need to implement the _glue_. -Let's now create a `ReactiveGreetingService` class with the following content: +Create the `src/main/java/org/acme/hibernate/orm/panache/FruitResource.java` file with the following content: [source, java] ---- -package org.acme.getting.started; - -import io.smallrye.mutiny.Multi; -import io.smallrye.mutiny.Uni; +package org.acme.hibernate.orm.panache; import javax.enterprise.context.ApplicationScoped; -import java.time.Duration; +import javax.ws.rs.Path; +@Path("/fruits") @ApplicationScoped -public class ReactiveGreetingService { +public class FruitResource { - public Uni greeting(String name) { - return Uni.createFrom().item(name) - .onItem().transform(n -> String.format("hello %s", n)); - } } ---- -Then, edit the `ReactiveGreetingResource` class to match the following content: +Let's start with the `getAll` method. The `getAll` method returns all the fruits stored in the database. +In the `FruitResource`, add the following code: [source, java] ---- -package org.acme.getting.started; - -import javax.inject.Inject; -import javax.ws.rs.GET; -import javax.ws.rs.Path; -import javax.ws.rs.Produces; -import javax.ws.rs.core.MediaType; - -import io.smallrye.mutiny.Multi; -import io.smallrye.mutiny.Uni; -import org.reactivestreams.Publisher; - -@Path("/hello") -public class ReactiveGreetingResource { - - @Inject - ReactiveGreetingService service; - - @GET - @Produces(MediaType.TEXT_PLAIN) - @Path("/greeting/{name}") - public Uni greeting(String name) { - return service.greeting(name); - } - - @GET - @Produces(MediaType.TEXT_PLAIN) - public String hello() { - return "hello"; - } +@GET +public Uni> get() { + return Fruit.listAll(Sort.by("name")); } ---- -The `ReactiveGreetingService` class contains a straightforward method producing a `Uni`. -While, in this example, the resulting item is emitted immediately, you can imagine any async API producing a `Uni`. -We cover this later in this guide. - -Now, start the application using: +Open http://localhost:8080/fruits to invoke this method: -[source,bash] +[source, json] ---- -./mvnw quarkus:dev +[{"id":2,"name":"Apple"},{"id":3,"name":"Banana"},{"id":1,"name":"Cherry"},{"id":4,"name":"peach"}] ---- -Once running, check you get the expected greeting message by opening http://localhost:8080/hello/greeting/neo. - -== Handling streams -So far, we only return an asynchronous result. -In this section, we extend the application with streams conveying multiple items. -These streams could come from Kafka or any other source of data, but to keep things simple, we just generate periodic greeting messages. - -In the `ReactiveGreetingService`, add the following method: - -[source, java] ----- -public Multi greetings(int count, String name) { - return Multi.createFrom().ticks().every(Duration.ofSeconds(1)) - .onItem().transform(n -> String.format("hello %s - %d", name, n)) - .select().first(count); -} ----- +We get the expected JSON array. +RESTEasy Reactive automatically maps the list into a JSON Array, except if instructed otherwise. -TIP: you may need to add the `import io.smallrye.mutiny.Multi;` and `import java.time.Duration;` statements. +Look at the return type; it returns a `Uni` of `List`. +`Uni` is an asynchronous type. +It's a bit like a future. +It's a placeholder that will get its value (item) later. +When it receives the item (Mutiny says it _emits_ its item), you can attach some behavior. +That's how we express the continuation: get a uni, and when the uni emits its item, execute the rest of the processing. -It generates a greeting message every second and stops after `count` messages. +NOTE: Reactive developers may wonder why we can't return a stream of fruits directly. +It tends to be a bad idea when dealing with a database. +Relational databases do not handle streaming well. +It’s a problem of protocols not designed for this use case. +So, to stream rows from the database, you need to keep a connection (and sometimes a transaction) open until all the rows are consumed. +If you have slow consumers, you break the golden rule of databases: don’t hold connections for too long. +Indeed, the number of connections is rather low, and having consumers keeping them for too long will dramatically reduce the concurrency of your application. +So, when possible, use a `Uni>` and load the content. +If you have a large set of results, implement pagination. -In the `ReactiveGreetingResource` add the following method: +Let's continue our API with `getSingle`: [source, java] ---- @GET -@Produces(MediaType.APPLICATION_JSON) -@Path("/greeting/{count}/{name}") -public Multi greetings(int count, String name) { - return service.greetings(count, name); +@Path("/{id}") +public Uni getSingle(Long id) { + return Fruit.findById(id); } ---- -This endpoint streams the items to the client as a JSON Array. -The name and number of messages are parameterized using path parameters. - -So calling the endpoint produces something like: - -[source,shell] ----- -$ curl http://localhost:8080/hello/greeting/3/neo -["hello neo - 0", "hello neo - 1", "hello neo - 2"] ----- +In this case, we use `Fruit.findById` to retrieve the fruit. +It returns a `Uni`, which will complete when the database has retrieved the row. -We can also generate Server-Sent Event responses by returning a `Multi`: +The `create` method allows adding a new fruit to the database: [source, java] ---- -@GET -@Produces(MediaType.SERVER_SENT_EVENTS) -@RestSseElementType(MediaType.TEXT_PLAIN) -@Path("/stream/{count}/{name}") -public Multi greetingsAsStream(int count, String name) { - return service.greetings(count, name); +@POST +public Uni create(Fruit fruit) { + return Panache.withTransaction(fruit::persist) + .replaceWith(Response.ok(fruit).status(Response.Status.CREATED)::build); } ---- -The only difference with the previous snippet is the produced type and the `@RestSseElementType` annotation indicating the type of each event. -As the `@Produces` annotation defines `SERVER_SENT_EVENTS`, JAX-RS needs it to knows the content type of each (nested) event. - -TIP: You may need to add the `import org.jboss.resteasy.reactive.RestSseElementType;` statement. +The code is a bit more involved. To write to a database, we need a transaction. +So we use `Panache.withTransaction` to get one (asynchronously) and call the `persist` method when we receive the transaction. +The `persist` method is also returning a `Uni`. +This `Uni` emits the result of the insertion of the fruit in the database. +Once the insertion completes (and that's our continuation), we create a `201 CREATED` response. +RESTEasy Reactive automatically reads the request body as JSON and creates the `Fruit` instance. -You can see the result using: +If you have https://httpie.io/[httpie] on your machine, you can try the endpoint using `http POST :8080/fruits name=peach`. -[source,shell] ----- -$ curl -N http://localhost:8080/hello/stream/5/neo -data: hello neo - 0 +Following the same ideas, you can implement the other CRUD methods. -data: hello neo - 1 +== Testing and Running -data: hello neo - 2 +Testing a reactive application is similar to testing a non-reactive one: use the HTTP endpoint and verify the HTTP responses. +The fact that the application is reactive does not change anything. -data: hello neo - 3 - -data: hello neo - 4 ----- +In https://github.com/quarkusio/quarkus-quickstarts/blob/main/hibernate-reactive-panache-quickstart/src/test/java/org/acme/hibernate/orm/panache/FruitsEndpointTest.java[FruitsEndpointTest.java] you can see how the test for the fruit application can be implemented. -== Using Reactive APIs +Packaging and running the application does not change either.The `./mvnw package` and `./mvnw package -Pnative` to generate a native executable works as usual.You can also package the application in a container. -=== Using Quarkus reactive APIs +To run the application, don’t forget to start a database and provide the configuration to your application. -Quarkus provides many reactive APIs using the Mutiny model. -In this section, we are going to see how you can use the Reactive PostgreSQL driver to interact with your database in a non-blocking and reactive way. +For example, you can use Docker to run your database: -Create a new project using: - -[source,bash,subs=attributes+] ----- -mvn io.quarkus:quarkus-maven-plugin:{quarkus-version}:create \ - -DprojectGroupId=org.acme \ - -DprojectArtifactId=getting-started-reactive-crud \ - -DclassName="org.acme.reactive.crud.FruitResource" \ - -Dpath="/fruits" \ - -Dextensions="resteasy-reactive,resteasy-reactive-jackson,reactive-pg-client" -cd getting-started-reactive-crud ----- - -This application is interacting with a PostgreSQL database, so you need one: - -[source,bash] +[source, bash] ---- docker run --ulimit memlock=-1:-1 -it --rm=true --memory-swappiness=0 \ - --name postgres-quarkus-reactive -e POSTGRES_USER=quarkus_test \ - -e POSTGRES_PASSWORD=quarkus_test -e POSTGRES_DB=quarkus_test \ - -p 5432:5432 postgres:11.2 ----- - -Then, let's configure our datasource. -Open the `src/main/resources/application.properties` and add the following content: - -[source, properties] ----- -quarkus.datasource.db-kind=postgresql -quarkus.datasource.username=quarkus_test -quarkus.datasource.password=quarkus_test -quarkus.datasource.reactive.url=postgresql://localhost:5432/quarkus_test -myapp.schema.create=true ----- - -The 3 first lines define the datasource. -The last line is going to be used in the application to indicate whether we insert a few items when the application gets initialized. - -Now, let's create our _entity_. -Create the `org.acme.reactive.crud.Fruit` class with the following content: - -[source, java] ----- -package org.acme.reactive.crud; - -import io.smallrye.mutiny.Multi; -import io.smallrye.mutiny.Uni; -import io.vertx.mutiny.pgclient.PgPool; -import io.vertx.mutiny.sqlclient.Row; -import io.vertx.mutiny.sqlclient.RowSet; -import io.vertx.mutiny.sqlclient.Tuple; - -import java.util.stream.StreamSupport; - -public class Fruit { - - public Long id; - - public String name; - - public Fruit() { - // default constructor. - } - - public Fruit(String name) { - this.name = name; - } - - public Fruit(Long id, String name) { - this.id = id; - this.name = name; - } - - public static Multi findAll(PgPool client) { - return client.query("SELECT id, name FROM fruits ORDER BY name ASC").execute() - // Create a Multi from the set of rows: - .onItem().transformToMulti(set -> Multi.createFrom().items(() -> StreamSupport.stream(set.spliterator(), false))) - // For each row create a fruit instance - .onItem().transform(Fruit::from); - } - - public static Uni findById(PgPool client, Long id) { - return client.preparedQuery("SELECT id, name FROM fruits WHERE id = $1").execute(Tuple.of(id)) - .onItem().transform(RowSet::iterator) - .onItem().transform(iterator -> iterator.hasNext() ? from(iterator.next()) : null); - } - - public Uni save(PgPool client) { - return client.preparedQuery("INSERT INTO fruits (name) VALUES ($1) RETURNING (id)").execute(Tuple.of(name)) - .onItem().transform(pgRowSet -> pgRowSet.iterator().next().getLong("id")); - } - - public Uni update(PgPool client) { - return client.preparedQuery("UPDATE fruits SET name = $1 WHERE id = $2").execute(Tuple.of(name, id)) - .onItem().transform(pgRowSet -> pgRowSet.rowCount() == 1); - } - - public static Uni delete(PgPool client, Long id) { - return client.preparedQuery("DELETE FROM fruits WHERE id = $1").execute(Tuple.of(id)) - .onItem().transform(pgRowSet -> pgRowSet.rowCount() == 1); - } - - private static Fruit from(Row row) { - return new Fruit(row.getLong("id"), row.getString("name")); - } -} ----- - -This _entity_ contains a few fields and methods to find, update, and delete rows from the database. -These methods return either `Unis` or `Multis` as the produced items are emitted asynchronously when the results have been retrieved. -Notice that the reactive PostgreSQL client already provides `Uni` and `Multi` instances. -So you only transform the results from the database into _business-friendly_ objects. - -For the purposes of initializing the database when the application starts, we will create a class named `DBInit` with the following content: - -[source, java] ----- -package org.acme.reactive.crud; - -import io.quarkus.runtime.StartupEvent; -import io.vertx.mutiny.pgclient.PgPool; -import org.eclipse.microprofile.config.inject.ConfigProperty; - -import javax.enterprise.context.ApplicationScoped; -import javax.enterprise.event.Observes; - -@ApplicationScoped -public class DBInit { - - private final PgPool client; - private final boolean schemaCreate; - - public DBInit(PgPool client, @ConfigProperty(name = "myapp.schema.create", defaultValue = "true") boolean schemaCreate) { - this.client = client; - this.schemaCreate = schemaCreate; - } - - void onStart(@Observes StartupEvent ev) { - if (schemaCreate) { - initdb(); - } - } - - private void initdb() { - client.query("DROP TABLE IF EXISTS fruits").execute() - .flatMap(r -> client.query("CREATE TABLE fruits (id SERIAL PRIMARY KEY, name TEXT NOT NULL)").execute()) - .flatMap(r -> client.query("INSERT INTO fruits (name) VALUES ('Kiwi')").execute()) - .flatMap(r -> client.query("INSERT INTO fruits (name) VALUES ('Durian')").execute()) - .flatMap(r -> client.query("INSERT INTO fruits (name) VALUES ('Pomelo')").execute()) - .flatMap(r -> client.query("INSERT INTO fruits (name) VALUES ('Lychee')").execute()) - .await().indefinitely(); - } -} ----- - -Then, let's use this `Fruit` class in the `FruitResource`. -Edit the `FruitResource` class to match the following content: - -[source, java] ----- -package org.acme.reactive.crud; - -import java.net.URI; - -import javax.ws.rs.Consumes; -import javax.ws.rs.DELETE; -import javax.ws.rs.GET; -import javax.ws.rs.POST; -import javax.ws.rs.PUT; -import javax.ws.rs.Path; -import javax.ws.rs.Produces; -import javax.ws.rs.core.MediaType; -import javax.ws.rs.core.Response; -import javax.ws.rs.core.Response.ResponseBuilder; -import javax.ws.rs.core.Response.Status; - -import io.smallrye.mutiny.Multi; -import io.smallrye.mutiny.Uni; -import io.vertx.mutiny.pgclient.PgPool; - -@Path("fruits") -@Produces(MediaType.APPLICATION_JSON) -@Consumes(MediaType.APPLICATION_JSON) -public class FruitResource { - - private final PgPool client; - - public FruitResource(PgPool client) { - this.client = client; - } - - @GET - public Multi get() { - return Fruit.findAll(client); - } - - @GET - @Path("{id}") - public Uni getSingle(Long id) { - return Fruit.findById(client, id) - .onItem().transform(fruit -> fruit != null ? Response.ok(fruit) : Response.status(Status.NOT_FOUND)) - .onItem().transform(ResponseBuilder::build); - } - - @POST - public Uni create(Fruit fruit) { - return fruit.save(client) - .onItem().transform(id -> URI.create("/fruits/" + id)) - .onItem().transform(uri -> Response.created(uri).build()); - } - - @PUT - @Path("{id}") - public Uni update(Long id, Fruit fruit) { - return fruit.update(client) - .onItem().transform(updated -> updated ? Status.OK : Status.NOT_FOUND) - .onItem().transform(status -> Response.status(status).build()); - } - - @DELETE - @Path("{id}") - public Uni delete(Long id) { - return Fruit.delete(client, id) - .onItem().transform(deleted -> deleted ? Status.NO_CONTENT : Status.NOT_FOUND) - .onItem().transform(status -> Response.status(status).build()); - } -} ----- - -This resource returns `Uni` and `Multi` instances based on the result produced by the `Fruit` class. - -=== Using Vert.x clients - -The previous example uses a _service_ provided by Quarkus. -Also, you can use Vert.x clients directly. - -First of all, make sure the `quarkus-vertx` extension is present. If not, activate the extension by executing the following command: - -[source,bash,subs=attributes+] ----- -mvn io.quarkus:quarkus-maven-plugin:{quarkus-version}:add-extensions \ - -Dextensions=vertx + --name postgres-quarkus -e POSTGRES_USER=quarkus \ + -e POSTGRES_PASSWORD=quarkus -e POSTGRES_DB=fruits \ + -p 5432:5432 postgres:13.1 ---- -Or add `quarkus-vertx` into your dependencies manually. +Then, launch the application using: -[source, xml] +[source, bash] ---- - - io.quarkus - quarkus-vertx - +java \ + -Dquarkus.datasource.reactive.url=postgresql://localhost/fruits \ + -Dquarkus.datasource.username=quarkus \ + -Dquarkus.datasource.password=quarkus \ + -jar target/quarkus-app/quarkus-run.jar ---- -There is a Mutiny version of the Vert.x APIs. -This API is divided into several artifacts you can import independently: - -|=== -|groupId:artifactId | Description - -|`io.smallrye.reactive:smallrye-mutiny-vertx-core` -|Mutiny API for Vert.x Core - -|`io.smallrye.reactive:smallrye-mutiny-vertx-mail-client` -|Mutiny API for the Vert.x Mail Client - -|`io.smallrye.reactive:smallrye-mutiny-vertx-web-client` -|Mutiny API for the Vert.x Web Client - -|`io.smallrye.reactive:smallrye-mutiny-vertx-mongo-client` -|Mutiny API for the Vert.x Mongo Client - -|`io.smallrye.reactive:smallrye-mutiny-vertx-redis-client` -|Mutiny API for the Vert.x Redis Client +Or, if you packaged your application as native executable, use: -|`io.smallrye.reactive:smallrye-mutiny-vertx-cassandra-client` -|Mutiny API for the Vert.x Cassandra Client -|`io.smallrye.reactive:smallrye-mutiny-vertx-consul-client` -|Mutiny API for the Vert.x Consul Client - -|`io.smallrye.reactive:smallrye-mutiny-vertx-kafka-client` -|Mutiny API for the Vert.x Kafka Client - -|`io.smallrye.reactive:smallrye-mutiny-vertx-amqp-client` -|Mutiny API for the Vert.x AMQP Client - -|`io.smallrye.reactive:smallrye-mutiny-vertx-rabbitmq-client` -|Mutiny API for the Vert.x RabbitMQ Client -|=== - -You can also check the available APIs on http://smallrye.io/smallrye-reactive-utils/apidocs/. - -Let's take an example. -Add the following dependency to your application: - -[source, xml] +[source, bash] ---- - - io.smallrye.reactive - smallrye-mutiny-vertx-web-client - +./target/getting-started-with-reactive-runner \ + -Dquarkus.datasource.reactive.url=postgresql://localhost/fruits \ + -Dquarkus.datasource.username=quarkus \ + -Dquarkus.datasource.password=quarkus ---- -It provides the Mutiny API of the Vert.x Web Client. -Then, you can use the web client as follows: - -[source, java] ----- -package org.acme.vertx; - -import io.smallrye.mutiny.Uni; -import io.vertx.core.json.JsonObject; -import io.vertx.ext.web.client.WebClientOptions; -import io.vertx.mutiny.core.Vertx; -import io.vertx.mutiny.ext.web.client.WebClient; -import org.jboss.resteasy.annotations.jaxrs.PathParam; - -import javax.annotation.PostConstruct; -import javax.inject.Inject; -import javax.ws.rs.GET; -import javax.ws.rs.Path; -import javax.ws.rs.Produces; -import javax.ws.rs.core.MediaType; - -@Path("/fruit-data") -public class ResourceUsingWebClient { - - private final WebClient client; - - public ResourceUsingWebClient(Vertx vertx) { - this.client = WebClient.create(vertx, - new WebClientOptions().setDefaultHost("fruityvice.com").setDefaultPort(443).setSsl(true) - .setTrustAll(true)); - } - - @GET - @Produces(MediaType.APPLICATION_JSON) - @Path("/{name}") - public Uni getFruitData(@PathParam("name") String name) { - return client.get("/api/fruit/" + name) - .send() - .map(resp -> { - if (resp.statusCode() == 200) { - return resp.bodyAsJsonObject(); - } else { - return new JsonObject() - .put("code", resp.statusCode()) - .put("message", resp.bodyAsString()); - } - }); - } - -} ----- - -There are 2 important points: - -1. The injected Vert.x instance has the `io.vertx.mutiny.core.Vertx` type which is the Mutiny variant of Vert.x; -2. The Web Client is created from `io.vertx.mutiny.ext.web.client.WebClient`. - -The Mutiny version of the Vert.x APIs also offers: - -* `andAwait` methods such as `sendAndAwait`. `andAwait` indicates that the caller thread is blocked until the result is available. -Be aware not to block the event loop / IO thread that way. -* `andForget` methods such as `writeAndForget`. `andForget` is available for method returning a `Uni`. -`andForget` indicates that you don't need the resulting `Uni` indicating the success or failure of the operation. -However, remember that if you don't subscribe, the operation would not be triggered. -`andForget` manages this for you and manage the subscription. -* `toMulti` methods allowing to transform a Vert.x `ReadStream` into a `Multi` -* `toBlockingIterable` / `toBlockingStream` methods allowing to transform a Vert.x `ReadStream` into a blocking iterable or blocking `java.util.Stream` - -=== Using RxJava or Reactor APIs - -Mutiny provides utilities to convert RxJava 2 and Project Reactor types to `Uni` and `Multi`. - -RxJava 2 converters are available in the following dependency: - -[source, xml] ----- - - io.smallrye.reactive - mutiny-rxjava - ----- - -So if you have an API returning RxJava 2 types (`Completable`, `Single`, `Maybe`, `Observable`, `Flowable`), you can create `Unis` and `Multis` as follows: - -[source, java] ----- -import io.smallrye.mutiny.converters.multi.MultiRxConverters; -import io.smallrye.mutiny.converters.uni.UniRxConverters; -// ... -Uni uniFromCompletable = Uni.createFrom().converter(UniRxConverters.fromCompletable(), completable); -Uni uniFromSingle = Uni.createFrom().converter(UniRxConverters.fromSingle(), single); -Uni uniFromMaybe = Uni.createFrom().converter(UniRxConverters.fromMaybe(), maybe); -Uni uniFromEmptyMaybe = Uni.createFrom().converter(UniRxConverters.fromMaybe(), emptyMaybe); -Uni uniFromObservable = Uni.createFrom().converter(UniRxConverters.fromObservable(), observable); -Uni uniFromFlowable = Uni.createFrom().converter(UniRxConverters.fromFlowable(), flowable); - -Multi multiFromCompletable = Multi.createFrom().converter(MultiRxConverters.fromCompletable(), completable); -Multi multiFromSingle = Multi.createFrom().converter(MultiRxConverters.fromSingle(), single); -Multi multiFromMaybe = Multi.createFrom().converter(MultiRxConverters.fromMaybe(), maybe); -Multi multiFromEmptyMaybe = Multi.createFrom().converter(MultiRxConverters.fromMaybe(), emptyMaybe); -Multi multiFromObservable = Multi.createFrom().converter(MultiRxConverters.fromObservable(), observable); -Multi multiFromFlowable = Multi.createFrom().converter(MultiRxConverters.fromFlowable(), flowable); ----- - -You can also transform `Unis` and `Multis` into RxJava types: - -[source, java] ----- -Completable completable = uni.convert().with(UniRxConverters.toCompletable()); -Single> single = uni.convert().with(UniRxConverters.toSingle()); -Single single2 = uni.convert().with(UniRxConverters.toSingle().failOnNull()); -Maybe maybe = uni.convert().with(UniRxConverters.toMaybe()); -Observable observable = uni.convert().with(UniRxConverters.toObservable()); -Flowable flowable = uni.convert().with(UniRxConverters.toFlowable()); -// ... -Completable completable = multi.convert().with(MultiRxConverters.toCompletable()); -Single> single = multi.convert().with(MultiRxConverters.toSingle()); -Single single2 = multi.convert().with(MultiRxConverters - .toSingle().onEmptyThrow(() -> new Exception("D'oh!"))); -Maybe maybe = multi.convert().with(MultiRxConverters.toMaybe()); -Observable observable = multi.convert().with(MultiRxConverters.toObservable()); -Flowable flowable = multi.convert().with(MultiRxConverters.toFlowable()); ----- - -Project Reactor converters are available in the following dependency: - -[source, xml] ----- - - io.smallrye.reactive - mutiny-reactor - ----- - -So if you have an API returning Reactor types (`Mono`, `Flux`), you can create `Unis` and `Multis` as follows: - -[source, java] ----- -import io.smallrye.mutiny.converters.multi.MultiReactorConverters; -import io.smallrye.mutiny.converters.uni.UniReactorConverters; -// ... -Uni uniFromMono = Uni.createFrom().converter(UniReactorConverters.fromMono(), mono); -Uni uniFromFlux = Uni.createFrom().converter(UniReactorConverters.fromFlux(), flux); - -Multi multiFromMono = Multi.createFrom().converter(MultiReactorConverters.fromMono(), mono); -Multi multiFromFlux = Multi.createFrom().converter(MultiReactorConverters.fromFlux(), flux); ----- - -You can also transform `Unis` and `Multis` into Reactor types: - -[source, java] ----- -Mono mono = uni.convert().with(UniReactorConverters.toMono()); -Flux flux = uni.convert().with(UniReactorConverters.toFlux()); - -Mono mono2 = multi.convert().with(MultiReactorConverters.toMono()); -Flux flux2 = multi.convert().with(MultiReactorConverters.toFlux()); ----- - -=== Using CompletionStages or Publisher API - -If you are facing an API using `CompletionStage`, `CompletableFuture`, or `Publisher`, you can convert back and forth. -First, both `Uni` and `Multi` can be created from a `CompletionStage` or from a `Supplier`. For example: - -[source, java] ----- -CompletableFuture future = Uni - // Create from a Completion Stage - .createFrom().completionStage(CompletableFuture.supplyAsync(() -> "hello")); ----- +The parameters passed to the application are described in the datasource guide. +There are other ways to configure the application - please check the xref:configuration-sources[configuration guide] to have an overview of the possibilities (such as env variable, .env files and so on). -On `Uni`, you can also produce a `CompletionStage` using `subscribeAsCompletionStage()` that produces a `CompletionStage` that would get the item or failure emitted by the `Uni`. +== Going further -You can also create `Unis` and `Multis` from instances of `Publisher` using `createFrom().publisher(Publisher)`. -You can transform a `Uni` into a `Publisher` using `toMulti`. -Indeed, `Multi` implements `Publisher`. +This guide is a brief introduction to some reactive features offered by Quarkus. +Quarkus is a reactive framework, and so offers a lot of reactive features. -== What's next? +If you want to continue on this topic check: -This guide is an introduction to reactive in Quarkus. -There are plenty of Quarkus features that are already reactive. -The following list gives you a few examples: +* xref:quarkus-reactive-architecture.adoc[The Quarkus Reactive Architecture] +* xref:mutiny-primer.adoc[Mutiny - an intuitive reactive programming library] -* link:rest-json#reactive[Using Mutiny with RestEasy] -* link:mailer[Sending email] -* link:mongodb#reactive[Using MongoDB] and link:mongodb-panache#reactive[MongoDB with Panache] -* link:reactive-sql-clients[Reactive Database Clients] -* link:vertx[Using Vert.x] -* link:kafka[Interacting with Kafka] and link:amqp[Interacting with AMQP] -* link:neo4j#reactive[Using Neo4J] -* link:reactive-routes[Using reactive routes] diff --git a/docs/src/main/asciidoc/getting-started.adoc b/docs/src/main/asciidoc/getting-started.adoc index ad2318363ad22..097705918d294 100644 --- a/docs/src/main/asciidoc/getting-started.adoc +++ b/docs/src/main/asciidoc/getting-started.adoc @@ -493,7 +493,7 @@ Furthermore, users can supply a custom banner by placing the banner file in `src This guide covered the creation of an application using Quarkus. However, there is much more. We recommend continuing the journey with the link:building-native-image[building a native executable guide], where you learn about creating a native executable and packaging it in a container. -If you are interested in reactive, we recommend the link:getting-started-reactive[Getting started with reactive guide], where you can see how to implement reactive applications with Quarkus. +If you are interested in reactive, we recommend the xref:getting-started-reactive.adoc[Getting Started with Reactive guide], where you can see how to implement reactive applications with Quarkus. In addition, the link:tooling[tooling guide] document explains how to: diff --git a/docs/src/main/asciidoc/grpc-getting-started.adoc b/docs/src/main/asciidoc/grpc-getting-started.adoc index c3ac24ed8674a..94caea8801750 100644 --- a/docs/src/main/asciidoc/grpc-getting-started.adoc +++ b/docs/src/main/asciidoc/grpc-getting-started.adoc @@ -148,7 +148,7 @@ To override it, set the `quarkus.generate-code.grpc.scan-for-imports` property i Now that we have the generated classes let's implement our _hello_ service. With Quarkus, implementing a service requires to implement the generated service interface based on Mutiny, a Reactive Programming API integrated in Quarkus, and expose it as a CDI bean. -Learn more about Mutiny on the link:getting-started-reactive#mutiny[Getting Started with Reactive guide]. +Learn more about Mutiny on the xref:mutiny-primer.adoc[Mutiny guide]. 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zfAb=g<`)}}iJug0uSKIti@6;5E;fb>#_6NnyK7o<@id1J2mB6}D{+2hfx7nCKbYD( zMg)>EigvJ$?%^3Nwg%aZowva9p97*U{I}xpn2po$i}=T6CWM_ic4(IV!>fD&yu_kH z@I_xv?U$|6z!K^R;ROlF5zR#NdWX zLyg;IQ-Aq7b9eov*Hy5?t8V?HXBm`I6i^()}U22`pdrittY zu$2tlo}}q(D&Q+t{ooe4H$(f$yf7{LFTC@!P%S zSbkO%JH=to^wEyU3lD%Zy*)Ign0|XdfkYwdfxA6C3xj+TtL@tS)4;objjWvh>f;$m zUUK8&df*~}d2F`%_MCrM#xCpobl#Q1|I5kRMH$MwMc4Y!e$)Tx=$m>14oZro7Nt?z z=S=H;X9WXldk$IOMZUbqs@JN@PSOF-l}FTKMuLux(X~oLoMtVQqJ|SK=St>{Sm8)dHr?M0@V+ zc~9WUc#zygWL0O_sE|4Xz&y~rUO8soE8!||MtPTdCn$+y?S8OX?#i6?seYn zf3*1Xf~T1wA)qeIfj=R5K5%Du`g?Q8#c#=LnGlHOb>O(u|Jvf;|DKutU+er|6Z2o| m{A- collection; + + @Inject + ElementService(ReactiveMongoClient client) { + collection = client.getDatabase("quarkus") + .getCollection("elements", Element.class); + } + + public void add(Element element) { + Uni insertion = collection.insertOne(element); + insertion + .onItem().transform(r -> r.getInsertedId().asString()) + .subscribe().with( + result -> System.out.println("inserted " + result), + failure -> System.out.println("D'oh" + failure)); + } + + public void getAll() { + collection.find() + .subscribe().with( + element -> System.out.println("Element: " + element), + failure -> System.out.println("D'oh! " + failure), + () -> System.out.println("No more elements") + ); + } + +} +---- + +First, the Mongo client is injected. +Note that it uses the reactive variant (`io.quarkus.mongodb.reactive.ReactiveMongoClient`). +In the initialize method, we retrieve and store the collection in which elements will be inserted. + +The `add` method inserts an element in the collection. +It receives the element as a parameter and uses the reactive API of the collection. +Interacting with the database involves I/Os. +The reactive principles forbid blocking while waiting for the interaction to complete. +Instead, we schedule the operation and pass a continuation. +The `insertOne` method returns a Uni, i.e., an asynchronous operation. +That's the scheduled I/O. We now need to express the continuation, which is done using the `.onItem()` method. +`.onItem()` allows configuring what needs to happen when the observed Uni emits an item, in our case when the scheduled I/Os completes. +In this example, we extract the inserted document id. +The final step is the subscription. +Without it, nothing would ever happen. Subscribing triggers the operation. +The subscription method can also define handlers: the `id` value on success, or a failure when the insertion fails. + +Let's now look at the second method. +It retrieves all the stored elements. +In this case, it returns multiple items (one per stored element), so we are using a `Multi`. +As for the insertion, getting the stored elements involves I/Os. +The `find` is our operation. +As for Uni, you need to subscribe to trigger the operation. +The subscriber receives item events, a failure event, or a completion event when all the elements have been received. + +Subscribing to a Uni or a Multi is essential, as without it, the operation is never executed. +In Quarkus some extensions deal with the subscription for you. +For example, in RESTEasy Reactive your HTTP methods can return a Uni or a Multi, and RESTEasy Reactive handles the subscription. + +== Mutiny Patterns + +The example from the last section was simplistic on purpose. +Let's have a look at a few common patterns. + +=== Observing events + +You can observe the various kind of events using: + +`on{event}().invoke(ev -> System.out.println(ev));` + +For example, for items use: +`onItem().invoke(item -> ...);` + +For failure, use: +`onFailure().invoke(failure -> ...)` + +The `invoke` method is synchronous. +Sometimes you need to execute an asynchronous action. +In this case use `call`, as in: `onItem().call(item -> someAsyncAction(item))`. +Note that `call` does not change the item, it just calls an asynchronous action, and when this one completes, it emits the original item downstream. + +=== Transforming item + +The first instrumental pattern consists of transforming the item events you receive. +As we have seen in the previous section, it could indicate the successful insertion, or the elements stored in the database. + +Transforming an item is done using: `onItem().transform(item -> ....)`. + +More details about transformation can be found in the https://smallrye.io/smallrye-mutiny/getting-started/transforming-items[Mutiny documentation]. + +=== Sequential composition + +Sequential composition allows chaining dependent asynchronous operations. This is achieved using `onItem().transformToUni(item -> ...)`. +Unlike `transform`, the function passed to `transformToUni` returns a Uni. + +[source, java] +---- +Uni uni1 = … +uni1 +.onItem().transformtoUni(item -> anotherAsynchronousAction(item)); +---- + +More details about asynchronous transformation can be found in the https://smallrye.io/smallrye-mutiny/getting-started/transforming-items-async[Mutiny documentation]. + +=== Failure handling + +So far we only handle the item events, but handling failure is essential. You can handle failures using `onFailure()`. + +For example, you can recover with a fallback item using `onFailure().recoverWithItem(fallback)`: + +[source, java] +---- +Uni uni1 = … +uni1 +.onFailure().recoverWithItem(“my fallback value”); +---- + +You can also retry the operation such as in: + +[source, java] +---- +Uni uni1 = … +uni1 +.onFailure().retry().atMost(5); +---- + +More info about failure recovery can be found on https://smallrye.io/smallrye-mutiny/getting-started/handling-failures[the handling failure documentation] and https://smallrye.io/smallrye-mutiny/getting-started/retry[the retry documentation]. + +== Events and Actions + +The following tables list the events that you can receive for Uni and Multi. Each of them is associated with its own group (onX). The second table lists the classic action you can do upon an event. Note that some groups offer more possibilities. + + + +|=== +| |Events from the upstream |Events from the downstream + +|Uni +|Subscription (1), Item (0..1), failure (0..1) +|Cancellation + +|Multi +|Subscription (1), Item (0..n), failure (0..1), completion (0..1) +|Cancellation, Request +|=== + +Check the full list of events on https://smallrye.io/smallrye-mutiny/getting-started/observing-events[the event documentation]. + +|=== +| Action |API |Comment + +|transform | `onItem().transform(Function function);` | Transform the event into another event using a synchronous function. +The downstream receives the result of the function (or a failure if the transformation failed). +|transformToUni | `onItem().transformToUni(Function> function);` | Transform the event into another event using an asynchronous function. The downstream receives the item emitted by the produced Uni (or a failure if the transformation failed). If the produced Uni emits a failure, that failure is passed to the downstream. +|invoke | `onItem().invoke(Consumer consumer)` | Invokes the synchronous consumer. This is particularly convenient to execute side-effects actions. The downstream receives the original event, or a failure if the consumer throws an exception +| call | `onItem().call(Function>)` | Invokes the asynchronous function. This is particularly convenient to execute asynchronous side-effect actions.The downstream receives the original event, or a failure if the consumer throws an exception or if the produced Uni emits a failure. +| fail | `onItem().failWith(Function)` | Emits a failure when it receives the event. +| complete (Multi only) | `onItem().complete()` | Emits the completion event when it receives the event. +|=== + +=== Other patterns + +Mutiny provides lots of other features. +Head over to the https://smallrye.io/smallrye-mutiny[Mutiny documentation] to see many more examples, including the whole list of events and how to handle them. + +Some frequently asked guides are the following: + +1. merge vs. concatenation - https://smallrye.io/smallrye-mutiny/guides/merge-concat +2. controlling the emission thread - https://smallrye.io/smallrye-mutiny/guides/emit-subscription +3. explicit blocking - https://smallrye.io/smallrye-mutiny/guides/imperative-to-reactive + +== Shortcuts + +When using Uni, having to write `onItem()` can be cumbersome. +Fortunately, Mutiny provides a set of shortcut to make your code more concise: + + +|=== +|Shortcut |Equivalent + +| uni.map(x → y) | uni.onItem().transform(x → y) +| uni.flatMap(x → uni2) | uni.onItem().transformToUni(x → uni2) +| uni.chain(x → uni2) | uni.onItem().transformToUni(x → uni2) +| uni.then(() → uni2) | uni.onItem().transformToUni(ignored → uni2) +| uni.invoke(x → System.out.println(x)) | uni.onItem().invoke(x → System.out.println(x)) +| uni.call(x → uni2) | uni.onItem().call(x → uni2) +| uni.eventually) → System.out.println("eventually" | uni.onItemOrFailure().invokeignoredItem, ignoredException) → System.out.println("eventually" +| uni.eventually(() → uni2) | uni.onItemOrFailure().call((ignoredItem, ignoredException) → uni2) +|=== + +== Reactive Streams + +Mutiny uses https://www.reactive-streams.org/[Reactive Streams]. +`Multi` implements `Publisher` and enforces the back-pressure protocol. +Emissions are constrained by the request emitted from the downstream subscribers. +Thus, it does not overload the subscribers. +Note that in some cases, you can’t follow this protocol (because the Multi emits events that can’t be controlled, such as time, or measures sensors). +In this case, Mutiny provides a way to control the overflow using `onOverflow()`. + +`Uni` does not implement Reactive Streams `Publisher`. +A `Uni` can only emit one event, so subscribing to the `Uni` is enough to express your intent to use the result and does not need the request protocol ceremony. + +== Mutiny and Vert.x + +Vert.x is a toolkit to build reactive applications and systems. +It provides a huge ecosystem of libraries following the reactive principles (i.e., non-blocking and asynchronous). +Vert.x is an essential part of Quarkus, as it provides its reactive capabilities. + +In addition, the whole Vert.x API can be used with Quarkus. +To provide a cohesive experience, the Vert.x API is also available using a Mutiny variant, i.e., returns Uni and Multi. + +More details about this API can be found on: https://quarkus.io/blog/mutiny-vertx/. + +== Mutiny Integration in Quarkus + +The integration of Mutiny in Quarkus goes beyond just the library. +Mutiny exposes hooks that allow Quarkus and Mutiny to be closely integrated: + +* Calling `await` or `toIterable` would fail if you are running on an I/O thread, preventing blocking the I/O thread; +* The `log()` operator use the Quarkus logger; +* The default Mutiny thread pool is the Quarkus worker thread pool; +* Context Propagation is enabled by default when using Mutiny Uni and Multi + +More details about the infrastructure integration can be found on https://smallrye.io/smallrye-mutiny/guides/infrastructure. + + + + diff --git a/docs/src/main/asciidoc/neo4j.adoc b/docs/src/main/asciidoc/neo4j.adoc index fd16e4edfdc6f..4a8be15e93244 100644 --- a/docs/src/main/asciidoc/neo4j.adoc +++ b/docs/src/main/asciidoc/neo4j.adoc @@ -419,7 +419,8 @@ To make life a bit easier, we will use https://smallrye.io/smallrye-mutiny/[Muti [TIP] .Mutiny ==== -The following example uses Mutiny reactive types, if you're not familiar with them, read the link:getting-started-reactive#mutiny[Getting Started with Reactive guide] first. +The following example uses Mutiny reactive types. +If you are not familiar with Mutiny, check xref:mutiny-primer.adoc[Mutiny - an intuitive reactive programming library]. ==== Add the following dependency to your `pom.xml`: diff --git a/docs/src/main/asciidoc/quarkus-reactive-architecture.adoc b/docs/src/main/asciidoc/quarkus-reactive-architecture.adoc new file mode 100644 index 0000000000000..98bf36007756a --- /dev/null +++ b/docs/src/main/asciidoc/quarkus-reactive-architecture.adoc @@ -0,0 +1,193 @@ +//// +This guide is maintained in the main Quarkus repository +and pull requests should be submitted there: +https://github.com/quarkusio/quarkus/tree/main/docs/src/main/asciidoc +//// += Quarkus Reactive Architecture + +include::./attributes.adoc[] + +Quarkus is reactive. +It's even more than this: Quarkus unifies reactive and imperative programming. +You don't even have to choose: you can implement reactive components and imperative components then combine them inside the very **same** application. +No need to use different stacks, tooling or APIs; Quarkus bridges both worlds. + +This page will explain what we mean by _Reactive_ and how Quarkus enables it. +We will also discuss execution and programming models. +Finally, we will list the Quarkus extensions offering reactive facets. + +== What is _Reactive_? + +The _Reactive_ word is overloaded and associated with many concepts such as back-pressure, monads, or event-driven architecture. +So, let's clarify what we mean by _Reactive_. + +_Reactive_ is a set of principles and guidelines to build responsive distributed systems and applications. +The https://www.reactivemanifesto.org/[Reactive Manifesto] characterizes _Reactive Systems_ as distributed systems having four characteristics: + +1. Responsive - they must respond in a timely fashion +2. Elastic - they adapt themselves to the fluctuating load +3. Resilient - they handle failures gracefully +4. Asynchronous message passing - the component of a reactive system interact using messages + +image::reactive-systems.png[alt=Reactive Systems Pillars] + +In addition to this, the https://principles.reactive.foundation/[Reactive Principles white paper] lists a set of rules and patterns to help the construction of reactive systems. + +== Reactive Systems and Quarkus + +Reactive System is an architectural style that can be summarized by: distributed systems done right. +Relying on asynchronous message passing helps enforce the loose coupling (both in terms of space and time) between the different components. +You send messages to virtual destinations. The receiver can be anywhere or can even not be when the message is sent. +The elasticity pillar allows scaling up and down individual components according to the load. +Elasticity also provides redundancy, which helps with the resilience pillar. +Failures are inevitable. +Components forming a reactive system must handle them gracefully, avoid cascading failures, and self-adapt themselves. + +A responsive system can continue to handle the request while facing failures and under fluctuating load. +Quarkus has been tailored for that. +It provides features that will help you design, implement and operate reactive systems. + +== Reactive Applications + +Quarkus is not only going to help you build reactive systems. +It's also going to make sure that each constituent enforces the reactive principles and is highly efficient. + +Efficiency is essential, especially in the Cloud and in containerized environments. +Resources, such as CPU and memory, are shared among multiple applications. +Greedy applications that consume lots of memory are inefficient and put penalties on sibling applications. +You may need to request more memory, CPU, or bigger virtual machines. +It either increases your monthly Cloud bill or decreases your deployment density. + +I/O is an essential part of almost any modern system. +Whether it is to call a remote service, interact with a database, or send messages to a broker, there are all I/O-based operations. +Efficiently handling them is critical to avoid greedy applications. +For this reason, Quarkus uses non-blocking I/O, which allows a low number of OS threads to manage many concurrent I/Os. +As a result, Quarkus applications allow for higher concurrency, use less memory, and improve the deployment density. + +== How does Quarkus enable Reactive? + +Under the hood, Quarkus has a reactive engine. +This engine, powered by Eclipse Vert.x and Netty, handles the non-blocking I/O interactions. + +image::quarkus-reactive-core.png[Quarkus Reactive Core] + +Quarkus extensions and the application code can use this engine to orchestrate I/O interactions, interact with databases, send and receive messages, and so on. + +== Reactive execution model + +While using non-blocking I/O has tremendous benefits, it does not come for free. +Indeed, it introduces a new execution model quite different from the one used by classical frameworks. + +Traditional applications use blocking I/O and an imperative (sequential) execution model. +So, in an application exposing an HTTP endpoint, each HTTP request is associated with a thread. +In general, that thread is going to process the whole request and the thread is tied up serving only that request for the duration of that request. +When the processing requires interacting with a remote service, it uses blocking I/O. +The thread is blocked, waiting for the result of the I/O. +While that model is simple to develop with (as everything is sequential), it has a few drawbacks. +To handle concurrent requests, you need multiple threads, so, you need to introduce a worker thread pool. +The size of this pool constrains the concurrency of the application. +In addition, each thread has a cost in terms of memory and CPU. +Large thread pools result in greedy applications. + +image::blocking-threads.png[alt=Imperative Execution Model and Worker Threads] + +As we have seen above, non-blocking I/O avoids that problem. +A few threads can handle many concurrent I/O. +If we go back to the HTTP endpoint example, the request processing is executed on one of these I/O threads. +Because there are only a few of them, you need to use them wisely. +When the request processing needs to call a remote service, you can't block the thread anymore. +You schedule the I/O and pass a continuation, i.e., the code to execute once the I/O completes. + +image::reactive-thread.png[alt=Reactive Execution Model and I/O Threads] + +This model is much more efficient, but we need a way to write code to express these continuations. + +== Reactive Programming Models + +The Quarkus architecture, based on non-blocking I/O and message passing, allows multiple supporting reactive development models that are all different in how they express continuations. +The two main ways to write reactive code with Quarkus are: + +* Reactive Programming with https://smallrye.io/smallrye-mutiny[Mutiny], and +* Coroutines with Kotlin + +First, https://smallrye.io/smallrye-mutiny[Mutiny] is an intuitive, event-driven reactive programming library. +With Mutiny, you write event-driven code. +Your code is a pipeline receiving events and processing them. +Each stage in your pipeline can be seen as a continuation, as Mutiny invokes them when the upstream part of the pipeline emits an event. + +The Mutiny API has been tailored to improve the readability and maintenance of the codebase. +Mutiny provides everything you need to orchestrate asynchronous actions, including concurrent execution. +It also offers a large set of operators to manipulate individual events and streams of events. + +[TIP] +Find more info about Mutiny and its usage in Quarkus on xref:mutiny-primer.adoc[Mutiny support documentation]. + +Co-routines are a way to write asynchronous code sequentially. +It suspends the execution of the code during I/O and registers the rest of the code as the continuation. +Kotlin coroutines are great when developing in Kotlin and only need to express sequential compositions (chain of co-dependent asynchronous tasks). + +== Unification of Imperative and Reactive + +Changing your development model is not simple. +It requires relearning and restructuring code in a non-blocking fashion. +Fortunately, you don't have to do it! + +Quarkus is inherently reactive thanks to its reactive engine. +But, you, as an application developer, don't have to write reactive code. +Quarkus unifies reactive and imperative. +It means that you can write traditional blocking applications on Quarkus. +But how do you avoid blocking the I/O threads? +Quarkus implements a https://en.wikipedia.org/wiki/Proactor_pattern[proactor pattern] that switches to worker thread when needed. + +image::proactor-pattern.png[The proactor pattern in Quarkus] + +Thanks to hints in your code (such as the `@Blocking` and `@NonBlocking` annotations), Quarkus extensions can decide when the application logic is blocking or non-blocking. +If we go back to the HTTP endpoint example from above, the HTTP request is always received on an I/O thread. +Then, the extension dispatching that request to your code decides whether to call it on the I/O thread, avoiding thread switches, or on a worker thread.This decision depends on the extension. +For example, the RESTEasy Reactive extension uses the @Blocking annotation to determine if the method needs to be invoked using a worker thread, or if it can be invoked using the I/O thread. + +Quarkus is pragmatic and versatile.You decide how to develop and execute your application. +You can use the imperative way, the reactive way, or mix them, using reactive on the parts of the application under high concurrency. + +[#quarkus-extensions-enabling-reactive] +== Quarkus Extensions enabling Reactive + +Quarkus offers a large set of reactive APIs and features.This section lists the most important, but it's not an exhaustive list. +Quarkus adds new features in every release, and the https://github.com/quarkiverse[Quarkiverse] proposes many extensions enabling _Reactive_. + +=== HTTP + +* RESTEasy Reactive: an implementation of JAX-RS tailored for the Quarkus architecture. +It follows a reactive-first approach but allows imperative code using the `@Blocking` annotation. +* Reactive Routes: a declarative way to register HTTP routes directly on the Vert.x router used by Quarkus to route HTTP requests to methods. +* Reactive Rest Client: allows consuming HTTP endpoints.Under the hood, it uses the non-blocking I/O features from Quarkus. +* Qute - the Qute template engine exposes a reactive API to render templates in a non-blocking manner. + +=== Data + +* Hibernate Reactive: a version of Hibernate ORM using asynchronous and non-blocking clients to interact with the database. +* Hibernate Reactive with Panache: provide active record and repository support on top of Hibernate Reactive. +* Reactive PostgreSQL client: An asynchronous and non-blocking client interacting with a PostgreSQL database, allowing high concurrency. +* Reactive MySQL client: An asynchronous and non-blocking client interacting with a MySQL database +* The MongoDB extension: exposes an imperative and reactive (Mutiny) APIs to interact with MongoDB.Mongo with Panache offers active record support for both the imperative and reactive APIs. +* The Cassandra extension: exposes an imperative and reactive (Mutiny) APIs to interact with Cassandra +* The Redis extension: exposes an imperative and reactive (Mutiny) APIs to store and retrieve data from a Redis key-value store. + +=== Event-Driven Architecture + +* Reactive Messaging: allows implementing event-driven applications using reactive and imperative code. +* Kafka Connector for Reactive Messaging: allows implementing applications consuming and writing Kafka records +* AMQP 1.0 Connector for Reactive Message: allows implementing applications sending and receiving AMQP messages. + +=== Network Protocols and Utilities + +* gRPC: implement and consume gRPC services.Offer reactive and imperative programming interfaces. +* GraphQL: implement and query (client) data store using GraphQL. Offers Mutiny APIs and subscriptions as event streams. +* Fault Tolerance: provide retry, fallback, circuit breakers abilities to your application.It can be used with Mutiny types. + +[#engine] +=== Engine + +* Vert.x : the underlying reactive engine of Quarkus. +The extension allows accessing to the managed Vert.x instance, as well as its Mutiny variant (exposing the Vert.x API using Mutiny types) +* Context Propagation: capture and propagate contextual objects (transaction, principal…) in a reactive pipeline diff --git a/docs/src/main/asciidoc/reactive-event-bus.adoc b/docs/src/main/asciidoc/reactive-event-bus.adoc index 63054b79dba1f..d91547ddf1208 100644 --- a/docs/src/main/asciidoc/reactive-event-bus.adoc +++ b/docs/src/main/asciidoc/reactive-event-bus.adoc @@ -136,7 +136,8 @@ public class GreetingService { [TIP] .Mutiny ==== -The previous example uses Mutiny reactive types, if you're not familiar with them, we recommend reading the link:getting-started-reactive#mutiny[Getting Started with Reactive guide]. +The previous example uses Mutiny reactive types. +If you are not familiar with Mutiny, check xref:mutiny-primer.adoc[Mutiny - an intuitive reactive programming library]. ==== === Configuring the address diff --git a/docs/src/main/asciidoc/reactive-sql-clients.adoc b/docs/src/main/asciidoc/reactive-sql-clients.adoc index 7ccc3230fd2b9..d84638d398982 100644 --- a/docs/src/main/asciidoc/reactive-sql-clients.adoc +++ b/docs/src/main/asciidoc/reactive-sql-clients.adoc @@ -102,7 +102,7 @@ Reactive REST endpoints in your application that return Uni or Multi need `Mutin [TIP] ==== In this guide, we will use the Mutiny API of the Reactive PostgreSQL Client. -If you're not familiar with Mutiny reactive types, read the link:getting-started-reactive#mutiny[Getting Started with Reactive guide] first. +If you are not familiar with Mutiny, check xref:mutiny-primer.adoc[Mutiny - an intuitive reactive programming library]. ==== === JSON Binding diff --git a/docs/src/main/asciidoc/rest-client-reactive.adoc b/docs/src/main/asciidoc/rest-client-reactive.adoc index 0f9e7e471e62c..a91dc5da55763 100644 --- a/docs/src/main/asciidoc/rest-client-reactive.adoc +++ b/docs/src/main/asciidoc/rest-client-reactive.adoc @@ -454,7 +454,8 @@ public class CountriesResource { [TIP] .Mutiny ==== -The previous snippet uses Mutiny reactive types, if you're not familiar with them, read the link:getting-started-reactive#mutiny[Getting Started with Reactive guide] first. +The previous snippet uses Mutiny reactive types. +If you are not familiar with Mutiny, check xref:mutiny-primer.adoc[Mutiny - an intuitive reactive programming library]. ==== When returning a `Uni`, every _subscription_ invokes the remote service. diff --git a/docs/src/main/asciidoc/rest-client.adoc b/docs/src/main/asciidoc/rest-client.adoc index 2a86c5c146e02..67f035e63291e 100644 --- a/docs/src/main/asciidoc/rest-client.adoc +++ b/docs/src/main/asciidoc/rest-client.adoc @@ -472,7 +472,8 @@ public class CountriesResource { [TIP] .Mutiny ==== -The previous snippet uses Mutiny reactive types, if you're not familiar with them, read the link:getting-started-reactive#mutiny[Getting Started with Reactive guide] first. +The previous snippet uses Mutiny reactive types. +If you are not familiar with Mutiny, check xref:mutiny-primer.adoc[Mutiny - an intuitive reactive programming library]. ==== When returning a `Uni`, every _subscription_ invokes the remote service. diff --git a/docs/src/main/asciidoc/rest-json.adoc b/docs/src/main/asciidoc/rest-json.adoc index a7d5a5a6aba78..6b81fa4ea598f 100644 --- a/docs/src/main/asciidoc/rest-json.adoc +++ b/docs/src/main/asciidoc/rest-json.adoc @@ -512,8 +512,7 @@ Use `Multi` when you have multiple items that may be emitted asynchronously. You can use `Uni` and `Response` to return asynchronous HTTP responses: `Uni`. -More details about Mutiny can be found in the link:getting-started-reactive#mutiny[Getting Started with Reactive guide]. - +More details about Mutiny can be found in xref:mutiny-primer.adoc[Mutiny - an intuitive reactive programming library]. == HTTP filters and interceptors diff --git a/docs/src/main/asciidoc/resteasy-reactive.adoc b/docs/src/main/asciidoc/resteasy-reactive.adoc index 849f6c7469aab..aca11f5c95b5a 100644 --- a/docs/src/main/asciidoc/resteasy-reactive.adoc +++ b/docs/src/main/asciidoc/resteasy-reactive.adoc @@ -964,7 +964,7 @@ public class Endpoint { Most of the time, there are ways to achieve the same blocking operations in an asynchronous/reactive way, using https://smallrye.io/smallrye-mutiny/[Mutiny], http://hibernate.org/reactive/[Hibernate Reactive] -or any of the link:getting-started-reactive[Quarkus Reactive extensions] for example: +or any of the xref:quarkus-reactive-architecture.adoc#quarkus-extensions-enabling-reactive[Quarkus Reactive extensions] for example: [source,java] ---- diff --git a/docs/src/main/asciidoc/vertx.adoc b/docs/src/main/asciidoc/vertx.adoc index bc28612aaaf6e..ec982f6f156b8 100644 --- a/docs/src/main/asciidoc/vertx.adoc +++ b/docs/src/main/asciidoc/vertx.adoc @@ -184,7 +184,7 @@ vertx.fileSystem().readFile("lorem-ipsum.txt") [TIP] .Mutiny ==== -If you're not familiar with Mutiny, we recommend to read the link:getting-started-reactive#mutiny[Getting Started with Reactive guide] first. +If you are not familiar with Mutiny, check xref:mutiny-primer.adoc[Mutiny - an intuitive reactive programming library]. ==== == Using Vert.x in Reactive JAX-RS resources