Introductory workshop about Micronaut.
In order to do this workshop, you need the following:
-
Linux or MacOS with shell access, and the following installed:
-
curl
. -
wget
. -
unzip
. -
git
.
-
-
JDK 8.
-
Docker. Please pull the following images before attending the workshop:
-
consul
. -
mongo
.
-
-
Install SDKMAN! if you haven’t done so already.
-
Install Micronaut CLI:
$ sdk install micronaut
-
Ensure the CLI is installed properly:
$ mn --version | Micronaut Version: 1.1.0 | JVM Version: 1.8.0_191
Once done, you can clone this repo:
git clone https://github.com/alvarosanchez/micronaut-workshop-java.git
Note
|
You will find each exercise’s template files on each exNN folder. Solution is always inside a solution folder. To highlight the actions you actually need to perform, an icon is used: [hand o right]
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Throughout this workshop, we will be creating a football (soccer) management system.
-
clubs
is the microservice responsible for managing clubs. It uses Hibernate as a data access layer. -
fixtures
manages all game fixtures, storing its data in MongoDB. For the teams playing in a game, it doesn’t store their full details, but rather their ID. It has a service-discovery-enabled HTTP client to fetch club details from theclubs
microservice.
Tip
|
Change to the ex01 directory to work on this exercise
|
The Micronaut CLI is the recommended way to create new Micronaut projects. The CLI includes commands for generating specific categories of projects, allowing you to choose between build tools, test frameworks, and even pick the language you wish to use in your application. The CLI also provides commands for generating artifacts such as controllers, client interfaces, and serverless functions.
The create-app
command is the starting point for creating Micronaut applications.
The CLI is based on the concept of profiles. A profile consist of a project
template (or skeleton), optional features, and profile-specific commands. Commands
from a profile typically are specific to the profile application type; for example,
the service
profile (designed for creation of microservice applications) provides
the create-controller
and create-client
commands.
[hand o right] You can list the available profiles with the list-profiles
command:
$ mn list-profiles | Available Profiles -------------------- cli The cli profile configuration The profile for creating the configuration federation The federation profile function-aws The function profile for AWS Lambda function-aws-alexa The function profile for AWS Lambda grpc Profile for Creating GRPC Services kafka The Kafka messaging profile profile A profile for creating new Micronaut profiles rabbitmq The RabbitMQ messaging profile service The service profile
Applications generated from a profile can be personalised with features. A feature further customises the newly created project by adding additional dependencies to the build, more files to the project skeleton, etc.
[hand o right] To see all the features of a profile, you can
use the profile-info
command:
Click to expand
$ mn profile-info service | Profile: service -------------------- The service profile | Provided Commands: -------------------- create-bean Creates a singleton bean create-client Creates a client interface create-controller Creates a controller and associated test create-job Creates a job with scheduled method create-test Creates a simple test for the project's testing framework create-websocket-client Creates a Websocket client create-websocket-server Creates a Websocket server help Prints help information for a specific command | Provided Features: -------------------- annotation-api Adds Java annotation API application Facilitates creating an executable JVM application and adds support for creating fat/uber JARs aws-api-gateway Adds support for AWS API Gateway aws-api-gateway-graal Creates an AWS API Gateway Proxy Lambda with Graal Native Image cassandra Adds support for Cassandra in the application config-consul Adds support for Distributed Configuration with Consul (https://www.consul.io) discovery-consul Adds support for Service Discovery with Consul (https://www.consul.io) discovery-eureka Adds support for Service Discovery with Eureka elasticsearch Adds support for Elasticsearch in the application file-watch Adds automatic restarts and file watch flyway Adds support for Flyway database migrations (https://flywaydb.org/) graal-native-image Allows Building a Native Image graphql Adds support for GraphQL in the application groovy Creates a Groovy application hibernate-gorm Adds support for GORM persistence framework hibernate-jpa Adds support for Hibernate/JPA http-client Adds support for creating HTTP clients http-server Adds support for running a Netty server java Creates a Java application jdbc-dbcp Configures SQL DataSource instances using Commons DBCP jdbc-hikari Configures SQL DataSource instances using Hikari Connection Pool jdbc-tomcat Configures SQL DataSource instances using Tomcat Connection Pool jib Adds support for Jib builds jrebel Adds support for class reloading with JRebel (requires separate JRebel installation) junit Adds support for the JUnit 5 testing framework kafka Adds support for Kafka kafka-streams Adds support for Kafka Streams kotlin Creates a Kotlin application liquibase Adds support for Liquibase database migrations (http://www.liquibase.org/) logback Adds Logback Logging management Adds support for management endpoints micrometer Adds support for Micrometer metrics micrometer-atlas Adds support for Micrometer metrics (w/ Atlas reporter) micrometer-cloudwatch Adds support for Micrometer metrics (w/ AWS Cloudwatch reporter) micrometer-graphite Adds support for Micrometer metrics (w/ Graphite reporter) micrometer-prometheus Adds support for Micrometer metrics (w/ Prometheus reporter) micrometer-statsd Adds support for Micrometer metrics (w/ Statsd reporter) mongo-gorm Configures GORM for MongoDB for Groovy applications mongo-reactive Adds support for the Mongo Reactive Streams Driver neo4j-bolt Adds support for the Neo4j Bolt Driver neo4j-gorm Configures GORM for Neo4j for Groovy applications netflix-archaius Adds support for Netflix Archaius in the application netflix-hystrix Adds support for Netflix Hystrix in the application netflix-ribbon Adds support for Netflix Ribbon in the application picocli Adds support for command line parsing (http://picocli.info) postgres-reactive Adds support for the Reactive Postgres driver in the application rabbitmq Adds support for RabbitMQ in the application redis-lettuce Configures the Lettuce driver for Redis security-jwt Adds support for JWT (JSON Web Token) based Authentication security-session Adds support for Session based Authentication spek Adds support for the Spek testing framework spock Adds support for the Spock testing framework springloaded Adds support for class reloading with Spring-Loaded swagger-groovy Configures Swagger (OpenAPI) Integration for Groovy swagger-java Configures Swagger (OpenAPI) Integration for Java swagger-kotlin Configures Swagger (OpenAPI) Integration for Kotlin tracing-jaeger Adds support for distributed tracing with Jaeger (https://www.jaegertracing.io) tracing-zipkin Adds support for distributed tracing with Zipkin (https://zipkin.io)
As explained avobe, the create-app
command can be used to create new projects.
It accepts some flags:
Flag | Description | Example |
---|---|---|
|
Build tool (one of |
|
|
Profile to use for the project (default is |
|
|
Features to use for the project, comma-separated |
|
|
If present, generates the project in the current directory (project name is optional if this flag is set) |
|
[hand o right] Let’s create a hello galaxy project:
$ mn create-app hello-galaxy | Generating Java project... | Application created at /Users/alvarosanchez/hello-galaxy
[hand o right] Now, move into the generated hello-galaxy
folder and let’s
create a controller:
$ mn create-controller hello | Rendered template Controller.java to destination src/main/java/hello/galaxy/HelloController.java | Rendered template ControllerTest.java to destination src/test/java/hello/galaxy/HelloControllerTest.java
[hand o right] Open the generated HelloController.java
with your favourite
IDE and make it return "Hello Galaxy!":
link:./ex01/solution/hello-galaxy/src/main/java/hello/galaxy/HelloController.java[role=include]
[hand o right] Now, run the application:
$ ./gradlew run
You will see a line similar to the following once the application has started
14:40:01.187 [main] INFO io.micronaut.runtime.Micronaut - Startup completed in 957ms. Server Running: http://localhost:8080
[hand o right] Then, on another shell, make a request to your service:
$ curl 0:8080/hello Hello Galaxy!
While testing manually is acceptable in some situations, going forward it is better to have automated tests to exercise our applications. Fortunately, Micronaut makes testing super easy!
Micronaut applications can be tested with any testing framework, because
io.micronaut.context.ApplicationContext
is capable of spinning up embedded
instances quite easily. The CLI adds support for using JUnit, Spock and Spek.
In addition to that, if you are using JUnit 5 or Spock, there is special support that allows to remove most of the boilerplate about starting/stopping server and injecting beans. Check the Micronaut Test project for more information.
We will use Gradle to run the tests, however, if you want to run them from your IDE, make sure you enable annotation processors. For example, in Intellij IDEA:
[hand o right] Now, change the generated src/test/java/hello/galaxy/HelloControllerTest.java
to look like this:
Click to expand
link:./ex01/solution/hello-galaxy/src/test/java/hello/galaxy/HelloControllerTest.java[role=include]
[hand o right] Then, run the tests:
./gradlew test
Once finished, you should see an output similar to:
BUILD SUCCESSFUL in 5s
Tip
|
Change to the ex02 directory to work on this exercise.
|
[hand o right] In this exercise we are creating the clubs
microservice. Start with:
mn create-app --features hibernate-jpa clubs
And open it in your IDE.
The hibernate-jpa
feature will bring to the newly created project:
-
The required build dependencies to have Hibernate, a Tomcat-based JDBC connection pool and an H2 in-memory database (
build.gradle
). -
The data source configuration to use such H2 database (
src/main/resources/application.yml
).
[hand o right] Check yourself the above files to see how it is configured.
Our model will reside in the clubs.domain
package. We need to configure JPA to search for
entities in this package.
[hand o right] Change jpa
section of src/main/resources/application.yml
so that it looks like:
link:./ex02/solution/clubs/src/main/resources/application.yml[role=include]
[hand o right] Let’s define first a Club
entity under
src/main/java/clubs/domain/Club.java
with 2 string attributes:
name
(mandatory) and stadium
(optional).
You need to use JPA annotations on the entity such as @Entity
and @Id
. If you are not familiar with JPA,
check the solution file.
[hand o right] Next, define repository named ClubRepository
as an interface with
the following operations:
link:./ex02/solution/clubs/src/main/java/clubs/domain/ClubRepository.java[role=include]
Now, let’s write the implementation using JPA:
Click to expand
link:./ex02/solution/clubs/src/main/java/clubs/domain/ClubRepositoryImpl.java[role=include]
[hand o right] Now, let’s write a test for our implementation:
Click to expand
link:./ex02/solution/clubs/src/test/java/clubs/ClubRepositoryImplTest.java[role=include]
Warning
|
For package-scanning reasons, you need to ensure your test classes are located at
the top of the package hierarchy, so that Micronaut can find annotations in packages underneath.
In this exercise, place your tests in the clubs package and make sure there are no classes
outside of it.
|
Micronaut helps you writing both the client and server sides of a REST API. In this service, we are going to create the following:
[hand o right] Create the ClubsApi
interface, annotating its methods with
io.micronaut.http.annotation.Get
or io.micronaut.http.annotation.Post
as described in the diagram.
[hand o right] Then, create ClubsClient
by simply extending from ClubsApi
.
Annotate the interface with io.micronaut.http.client.Client("/")
.
[hand o right] Finally, implement the controller ClubController
. Annotate
the class with io.micronaut.http.annotation.Controller("/")
, matching the path
specified on ClubsClient
. Use ClubRepository
to implement the actions by declaring
a constructor dependency on it.
Warning
|
The controller actions need to be annotated with @Get / @Post again.
|
[hand o right] Finally, configure logback.xml
to see some relevant output
link:./ex02/solution/clubs/src/main/resources/logback.xml[role=include]
-
Debug level for our code
-
This allows to see the HTTP request and responses from the HTTP clients.
[hand o right] Once you have it, write an end-to-end test:
Click to expand
link:./ex02/solution/clubs/src/test/java/clubs/ClubControllerTest.java[role=include]
During our tests, we have been seeding test data on demand, as it is a good practise to isolate test data from test to test. However, for production, we want some data loaded
[hand o right] Let’s create a bean to load some data. Run:
mn create-bean dataLoader
[hand o right] Change it to look like:
Click to expand
link:./ex02/solution/clubs/src/main/java/clubs/init/DataLoader.java[role=include]
[hand o right] Now, run the application:
./gradlew run
[hand o right] And make a request to 0:8080/
to see the results:
We want the clubs
microservice to be discoverable by the fixtures
service.
So we will enable Micronaut’s Consul support for service discovery.
[hand o right] First, add the neccessary dependency in build.gradle
:
link:./ex02/solution/clubs/build.gradle[role=include]
[hand o right] Then, change src/main/resources/application.yml
to define
the Consul configuration:
link:./ex02/solution/clubs/src/main/resources/application.yml[role=include]
[hand o right] Finally, run a Consul instance with Docker:
$ docker run -d --name=dev-consul -e CONSUL_BIND_INTERFACE=eth0 -e CONSUL_UI_BETA=true -p 8500:8500 consul
[hand o right] Now, if you run the application, you will see it registers with Consul at startup:
$ ./gradlew run ... 04:20:09.501 [nioEventLoopGroup-1-3] INFO i.m.d.registration.AutoRegistration - Registered service [clubs] with Consul ...
[hand o right] If you go the Consul UI, you can see it shows as registered:
[hand o right] You can run yet another instance of clubs
on a different
shell, and see it registered. In order to do that, you need to tell Micronaut to
run on a random port. In application.yml
:
link:./ex02/solution/clubs/src/main/resources/application.yml[role=include]
We will use them both with Micronaut’s load-balanced HTTP client in the next exercise.
Tip
|
Change to the ex03 directory to work on this exercise.
|
[hand o right] In this exercise we are creating the fixtures
microservice:
mn create-app --features=mongo-reactive,discovery-consul fixtures
Once again, follow the steps of exercise 1 to add Micronaut Test to this project. Also,
remove the de.flapdoodle.embed.mongo
dependency, as we are using a Dockerized MongoDB
instance.
[hand o right] First of all, run MongoDB with Docker:
$ docker run -d --name=dev-mongo -p 27017:27017 mongo
[hand o right] Then, create the Fixture
domain class with the following properties:
link:./ex03/solution/fixtures/src/main/java/fixtures/domain/Fixture.java[role=include]
As you can see, we are only storing club’s ids. When rendering fixture details,
we will use Micronaut’s HTTP client to fetch details from the clubs
microservice.
[hand o right] We also need a constructor with annotations that allow Fixture
instances to be marshalled and unmarshalled
to/from JSON and as a MongoDB document:
link:./ex03/solution/fixtures/src/main/java/fixtures/domain/Fixture.java[role=include]
Be sure to add all the getter and setters as well.
[hand o right] The next thing we need is an HTTP client for the clubs
microservice. Create one with:
$ mn create-client clubs
Before actually mapping any endpoint, we are going to create the following hierarchy:
-
ClubsApi
is the interface that contains the client endpoint mappings. -
ClubsClient
is the production client, is annotated with@Client
and simply extends fromClubsApi
. -
ClubsClientMock
is a mocking client (resides withinsrc/test/java
), is annotated with@Fallback
, and implementsClubsApi
by returning hardcoded instances.
This is how ClubsApi
looks like:
link:./ex03/solution/fixtures/src/main/java/fixtures/clubs/ClubsApi.java[role=include]
We are using a reactive type in the HTTP client response, so that is a hint for Micronaut to make it non-blocking.
Then, the production client:
link:./ex03/solution/fixtures/src/main/java/fixtures/clubs/ClubsClient.java[role=include]
-
"clubs"
is the Consul name for the Clubs microservice (which registers itself with themicronaut.application.name
property).
Finally, the mocking client:
link:./ex03/solution/fixtures/src/test/java/fixtures/ClubsClientMock.java[role=include]
[hand o right] We also need a Club
POJO to capture the JSON response from clubs
. Define
it with 2 string fields: name
and stadium
, and its constructor, getters, etc.
[hand o right] Now let’s create a repository for Fixture
. Following the same convention as
in the previous exercise, begin with an interface:
link:./ex03/solution/fixtures/src/main/java/fixtures/domain/FixtureRepository.java[role=include]
[hand o right] Then, the implementation:
Click to expand
link:./ex03/solution/fixtures/src/main/java/fixtures/domain/FixtureRepositoryImpl.java[role=include]
[hand o right] And a test:
Click to expand
link:./ex03/solution/fixtures/src/test/java/fixtures/FixtureRepositoryImplTest.java[role=include]
Make sure it passes.
[hand o right] Let’s create a controller for displaying fixtures:
$ mn create-controller fixture
As it was said earlier, our Fixture
class doesn’t store club names, but their id’s (with the intention of
having this microservice call the other). Therefore, we need a DTO class to represent what our JSON response
is going to look like.
[hand o right] Create a POJO named FixtureResponse
with the following attributes:
link:./ex03/solution/fixtures/src/main/java/fixtures/controller/FixtureResponse.java[role=include]
Now we need a service that transforms a Fixture
into a FixtureResponse
. To do so, it need to make
2 HTTP calls to the clubs
microservice, to get the name of each clubs. It will use ClubsClient
for that.
[hand o right] Create a FixtureService
like this:
Click to expand
link:./ex03/solution/fixtures/src/main/java/fixtures/service/FixtureService.java[role=include]
[hand o right] And write a test for it:
Click to expand
link:./ex03/solution/fixtures/src/test/java/fixtures/FixtureServiceTest.java[role=include]
Finally, we need the REST controller that connect the dots.
[hand o right] Create a FixtureController
that uses FixtureRepository
and FixtureService
as
collaborators to produce a Flowable<FixtureResponse>
response:
link:./ex03/solution/fixtures/src/main/java/fixtures/controller/FixtureController.java[role=include]
[hand o right] Similarly to the previous exercise, seed the application with some data.
Also, we need to set the micronaut.server.port
configuration property a value other than 8080,
otherwise, we won’t be able to run both services.
[hand o right] In application.yml
, set micronaut.server.port
to 8081
[hand o right] Now, run the application:
./gradlew run
If you make a request to the default controller, and the clubs
microservice is not running,
you will see an error:
{"message":"Internal Server Error: No available services for ID: clubs"}
[hand o right] Now, run the clubs
service on a different terminal, and try the request again.