Infinispan Client

./attributes.adoc

Infinispan is a distributed, in-memory key/value store that provides Quarkus applications with a highly configurable and independently scalable data layer. This extension gives you client functionality that connects applications running on Quarkus with remote Infinispan clusters.

To find out more about Infinispan, visit the Infinispan documentation.

Solution

We recommend that you complete each step in the following sections to create the application. However, you can proceed directly to the completed solution as follows:

Clone the Git repository: git clone {quickstarts-clone-url} or download an {quickstarts-archive-url}[archive]. Locate the solution in the infinispan-client-quickstart {quickstarts-tree-url}/infinispan-client-quickstart[directory].

Adding the Infinispan client extension

Run the following command in the base directory of your Quarkus project to add the infinispan-client extension:

./mvnw quarkus:add-extension -Dextensions="infinispan-client"

This command adds the following dependency to your pom.xml:

<dependency>
    <groupId>io.quarkus</groupId>
    <artifactId>quarkus-infinispan-client</artifactId>
</dependency>

Configuring the Infinispan client

Open the application.properties file in the src/main/resources directory with any text editor.

Note that Infinispan documentation refers to a hotrod-client.properties file. You can configure the Infinispan client with either properties file but application.properties always takes priority over hotrod-client.properties.

Additionally, you cannot update configuration properties at runtime. If you modify application.properties or hotrod-client.properties, you must rebuild the application before those changes take effect.

Connecting to Infinispan clusters

Add the following properties to connect to Infinispan Server:

# Infinispan Server address
quarkus.infinispan-client.server-list=localhost:11222

# Authentication
quarkus.infinispan-client.auth-username=admin
quarkus.infinispan-client.auth-password=password

# Infinispan client intelligence
# Use BASIC as a Docker for Mac workaround
quarkus.infinispan-client.client-intelligence=BASIC

Running Infinispan Server

To use the Infinispan client extension, you need at least one running instance of Infinispan Server.

Check out our 5 minute Getting stated with Infinispan tutorial to run Infinispan Server locally.

Infinispan Server also enables authentication and security authorization by default so you need to create a user with permissions.

If you run the Infinispan Server image, pass the USER="admin" and PASS="password" parameters.
If you run the bare metal distribution, use the Command Line Interface (CLI) as follows:
```
$ ./bin/cli.sh user create admin -p password
```

Authentication mechanisms

You can use the following authentication mechanisms with the Infinispan client:

DIGEST-MD5
PLAIN (recommended only in combination with TLS encryption)
EXTERNAL

Other authentication mechanisms, such as SCRAM and GSSAPI, are not yet verified with the Infinispan client.

You can find more information on configuring authentication in Hot Rod Endpoint Authentication Mechanisms.

Note	You must configure authentication in the `hotrod-client.properties` file if you use Dependency Injection.

Serialization (Key Value types support)

By default the client will support keys and values of the following types: byte[], primitive wrappers (eg. Integer, Long, Double etc.), String, Date and Instant. User types require some additional steps that are detailed here. Let’s say we have the following user classes:

Author.java

public class Author {
   private final String name;
   private final String surname;

   public Author(String name, String surname) {
      this.name = Objects.requireNonNull(name);
      this.surname = Objects.requireNonNull(surname);
   }
   // Getter/Setter/equals/hashCode/toString omitted
}

Book.java

public class Book {
   private final String title;
   private final String description;
   private final int publicationYear;
   private final Set<Author> authors;
   private final BigDecimal price;

   public Book(String title, String description, int publicationYear, Set<Author> authors, BigDecimal price) {
      this.title = Objects.requireNonNull(title);
      this.description = Objects.requireNonNull(description);
      this.publicationYear = publicationYear;
      this.authors = Objects.requireNonNull(authors);
      this.price = price;
   }
   // Getter/Setter/equals/hashCode/toString omitted
}

Serialization of user types uses a library based on protobuf, called Protostream.

Tip	Infinispan caches can store keys and values in different encodings, but recommend using Protocol Buffers (Protobuf). For more information see our Cache Encoding and Marshalling guide.

Annotation based Serialization

This can be done automatically by adding protostream annotations to your user classes. In addition, a single Initializer annotated interface is required which controls how the supporting classes are generated.

Here is an example of how the preceding classes should be changed:

Author.java

    @ProtoFactory
    public Author(String name, String surname) {
        this.name = Objects.requireNonNull(name);
        this.surname = Objects.requireNonNull(surname);
    }

    @ProtoField(number = 1)
    public String getName() {
        return name;
    }

    @ProtoField(number = 2)
    public String getSurname() {
        return surname;
    }

Book.java

    @ProtoFactory
    public Book(String title, String description, int publicationYear, Set<Author> authors) {
        this.title = Objects.requireNonNull(title);
        this.description = Objects.requireNonNull(description);
        this.publicationYear = publicationYear;
        this.authors = Objects.requireNonNull(authors);
    }

    @ProtoField(number = 1)
    public String getTitle() {
        return title;
    }

    @ProtoField(number = 2)
    public String getDescription() {
        return description;
    }

    @ProtoField(number = 3, defaultValue = "-1")
    public int getPublicationYear() {
        return publicationYear;
    }

    @ProtoField(number = 4)
    public Set<Author> getAuthors() {
        return authors;
    }

If your classes have only mutable fields, then the ProtoFactory annotation is not required, assuming your class has a no arg constructor.

Then all that is required is a very simple GeneratedSchema interface with an annotation on it to specify configuration settings

BooksSchema.java

import org.infinispan.protostream.GeneratedSchema;
import org.infinispan.protostream.annotations.AutoProtoSchemaBuilder;
import org.infinispan.protostream.types.java.math.BigDecimalAdapter;

@AutoProtoSchemaBuilder(includeClasses = { Book.class, Author.class, BigDecimalAdapter.class }, schemaPackageName = "book_sample")
interface BookStoreSchema extends GeneratedSchema {
}

Tip	Protostream provides default Protobuf mappers for commonly used types as `BigDecimal`, included in the `org.infinispan.protostream.types` package.

So in this case we will automatically generate the marshaller and schemas for the included classes and place them in the schema package automatically. The package does not have to be provided, but if you use Infinispan query capabilities, you must know the generated package.

Note	In Quarkus the `schemaFileName` and `schemaFilePath` attributes should NOT be set on the `AutoProtoSchemaBuilder` annotation. Setting either attributes causes native runtime errors.

Custom serialization

The previous method is suggested for any case when the user can annotate their classes. Unfortunately the user may not be able to annotate all classes they will put in the cache. In this case you must define your schema and create your own Marshaller(s) yourself.

Protobuf schema

You can supply a protobuf schema through either one of two ways.

Proto File
You can put the .proto file in the META-INF directory of the project. These files will automatically be picked up at initialization time.

library.proto

package book_sample;

message Book {
  required string title = 1;
  required string description = 2;
  required int32 publicationYear = 3; // no native Date type available in Protobuf
  repeated Author authors = 4;
  requited double price = 5; // no native BigDecimal type available in Protobuf
}

message Author {
  required string name = 1;
  required string surname = 2;
}

In Code
Or you can define the proto schema directly in user code by defining a produced bean of type org.infinispan.protostream.FileDescriptorSource.

   @Produces
   FileDescriptorSource bookProtoDefinition() {
      return FileDescriptorSource.fromString("library.proto", "package book_sample;\n" +
            "\n" +
            "message Book {\n" +
            "  required string title = 1;\n" +
            "  required string description = 2;\n" +
            "  required int32 publicationYear = 3; // no native Date type available in Protobuf\n" +
            "\n" +
            "  repeated Author authors = 4;\n" +
            "\n" +
            "  required double price = 5; // no native BigDecimal type available in Protobuf\n" +
            "}\n" +
            "\n" +
            "message Author {\n" +
            "  required string name = 1;\n" +
            "  required string surname = 2;\n" +
            "}");
   }

User Marshaller

The last thing to do is to provide a org.infinispan.protostream.MessageMarshaller implementation for each user class defined in the proto schema. This class is then provided via @Produces in a similar fashion to the code based proto schema definition above.

Here is the Marshaller class for our Author & Book classes.

Note	The type name must match the `<protobuf package>.<protobuf message>` exactly!

AuthorMarshaller.java

public class AuthorMarshaller implements MessageMarshaller<Author> {

   @Override
   public String getTypeName() {
      return "book_sample.Author";
   }

   @Override
   public Class<? extends Author> getJavaClass() {
      return Author.class;
   }

   @Override
   public void writeTo(ProtoStreamWriter writer, Author author) throws IOException {
      writer.writeString("name", author.getName());
      writer.writeString("surname", author.getSurname());
   }

   @Override
   public Author readFrom(ProtoStreamReader reader) throws IOException {
      String name = reader.readString("name");
      String surname = reader.readString("surname");
      return new Author(name, surname);
   }
}

BookMarshaller.java

public class BookMarshaller implements MessageMarshaller<Book> {

   @Override
   public String getTypeName() {
      return "book_sample.Book";
   }

   @Override
   public Class<? extends Book> getJavaClass() {
      return Book.class;
   }

   @Override
   public void writeTo(ProtoStreamWriter writer, Book book) throws IOException {
      writer.writeString("title", book.getTitle());
      writer.writeString("description", book.getDescription());
      writer.writeInt("publicationYear", book.getPublicationYear());
      writer.writeCollection("authors", book.getAuthors(), Author.class);
      writer.writeDouble("price", book.getPrice().doubleValue());
   }

   @Override
   public Book readFrom(ProtoStreamReader reader) throws IOException {
      String title = reader.readString("title");
      String description = reader.readString("description");
      int publicationYear = reader.readInt("publicationYear");
      Set<Author> authors = reader.readCollection("authors", new HashSet<>(), Author.class);
      BigDecimal price = BigDecimal.valueOf(reader.readDouble("price"));
      return new Book(title, description, publicationYear, authors, price);
   }
}

And you pass the marshaller by defining the following:

   @Produces
   MessageMarshaller authorMarshaller() {
      return new AuthorMarshaller();
   }

   @Produces
   MessageMarshaller bookMarshaller() {
      return new BookMarshaller();
   }

Note	The above produced Marshaller method MUST return `MessageMarshaller` without types or else it will not be found.

Dependency Injection

As you saw above we support the user injecting Marshaller configuration. You can do the inverse with the Infinispan client extension providing injection for RemoteCacheManager and RemoteCache objects. There is one global RemoteCacheManager that takes all of the configuration parameters setup in the above sections.

It is very simple to inject these components. All you need to do is to add the Inject annotation to the field, constructor or method. In the below code we utilize field and constructor injection.

SomeClass.java

    @Inject SomeClass(RemoteCacheManager remoteCacheManager) {
       this.remoteCacheManager = remoteCacheManager;
    }

    @Inject @Remote("myCache")
    RemoteCache<String, Book> cache;

    RemoteCacheManager remoteCacheManager;

If you notice the RemoteCache declaration has an additional optional annotation named Remote. This is a qualifier annotation allowing you to specify which named cache that will be injected. This annotation is not required and if it is not supplied, the default cache will be injected.

Note	Other types may be supported for injection, please see other sections for more information

Registering Protobuf Schemas with Infinispan Server

You need to register the generated Protobuf schemas with Infinispan Server to perform queries or convert from Protobuf to other media types such as JSON.

Tip	You can check the schemas that exist under the `Schemas` tab by logging into Infinispan Console at `http://localhost:11222`

By default Protobuf schemas generated this way will be registered by this extension when the client first connects. However, it might be required to handle the registration manually as a schema may evolve over time when used in production, so you can disable this from occurring by configuring the quarkus.infinispan-client.use-schema-registration to false.

To configure the schema manually please use Infinispan Operator for Kubernetes deployments, Infinispan Console, REST API or the Hot Rod Java Client.

Querying

The Infinispan client supports both indexed and non-indexed querying as long as the ProtoStreamMarshaller is configured above. This allows the user to query based on the properties of the proto schema.

Query builds upon the proto definitions you can configure when setting up the ProtoStreamMarshaller. Either method of Serialization above will automatically register the schema with the server at startup, meaning that you will automatically gain the ability to query objects stored in the remote Infinispan Server.

You can read more about querying in the Infinispan documentation.

You can use either the Query DSL or the Ickle Query language with the Quarkus Infinispan client extension.

Counters

Infinispan also has a notion of counters and the Quarkus Infinispan client supports them out of the box.

The Quarkus Infinispan client extension allows for Dependency Injection of the CounterManager directly. All you need to do is annotate your field, constructor or method and you get it with no fuss. You can then use counters as you would normally.

@Inject
CounterManager counterManager;

You can read more about clustered counters in the Infinispan documentation.

Near Caching

Near caching is disabled by default, but you can enable it by setting the profile config property quarkus.infinispan-client.near-cache-max-entries to a value greater than 0. You can also configure a regular expression so that only a subset of caches have near caching applied through the quarkus.infinispan-client.near-cache-name-pattern attribute.

Encryption

Encryption at this point requires additional steps to get working.

The first step is to configure the hotrod-client.properties file to point to your truststore and/or keystore. This is further detailed here.

The Infinispan Client extension enables SSL/TLS by default. You can read more about this at Using SSL With Native Executables.

Additional Features

The Infinispan Client has additional features that were not mentioned here. This means this feature was not tested in a Quarkus environment and they may or may not work. Please let us know if you need these added!

Dev Services for Infinispan

When you use the infinispan-client extension in dev mode or in test, Quarkus automatically starts an Infinispan server and configure your application.

Enabling / Disabling Dev Services for Infinispan

Dev Services for Infinispan is automatically enabled unless:

quarkus.infinispan-client.devservices.enabled is set to false
the quarkus.infinispan-client.server-list is configured

Dev Services for Infinispan relies on Docker to start the broker. If your environment does not support Docker, you will need to start the broker manually, or connect to an already running broker. You can configure the broker address using quarkus.infinispan-client.server-list.

Shared server

Quarkus will share the Infinispan broker if you have multiple applications running in dev mode. Dev Services for Infinispan implements a service discovery mechanism for your multiple Quarkus applications running in dev mode to share a single broker.

Note	Dev Services for Infinispan starts the container with the `quarkus-dev-service-infinispan` label which is used to identify the container.

If you need multiple (shared) Infinispan server, you can configure the quarkus.infinispan-client.devservices.service-name attribute and indicate the server name. It looks for a container with the same value, or starts a new one if none can be found. The default service name is infinispan.

Sharing is enabled by default in dev mode, but disabled in test mode. You can disable the sharing with quarkus.infinispan-client.devservices.shared=false.

Setting the port

By default, Dev Services for Infinispan picks a random port and configures the application. You can set the port by configuring the quarkus.infinispan-client.devservices.port property.

Testing helpers

To start a Infinispan Server for your unit tests, Quarkus provides one QuarkusTestResourceLifecycleManager that relies on Infinispan Server Test Container.

io.quarkus.test.infinispan.client.InfinispanTestResource will start a single instance on port 11222 with user 'admin' and password 'password'.

To use them, you need to add the io.quarkus:quarkus-test-infinispan-client dependency to your pom.xml.

For more information about the usage of a QuarkusTestResourceLifecycleManager please read Quarkus test resource.

Configuration Reference

{generated-dir}/config/quarkus-infinispan-client.adoc

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infinispan-client.adoc

Infinispan Client

Solution

Adding the Infinispan client extension

Configuring the Infinispan client

Connecting to Infinispan clusters

Authentication mechanisms

Serialization (Key Value types support)

Annotation based Serialization

Custom serialization

Dependency Injection

Registering Protobuf Schemas with Infinispan Server

Querying

Counters

Near Caching

Encryption

Additional Features

Dev Services for Infinispan

Enabling / Disabling Dev Services for Infinispan

Shared server

Setting the port

Testing helpers

Configuration Reference

Files

infinispan-client.adoc

Latest commit

History

infinispan-client.adoc

File metadata and controls

Infinispan Client

Solution

Adding the Infinispan client extension

Configuring the Infinispan client

Connecting to Infinispan clusters

Authentication mechanisms

Serialization (Key Value types support)

Annotation based Serialization

Custom serialization

Dependency Injection

Registering Protobuf Schemas with Infinispan Server

Querying

Counters

Near Caching

Encryption

Additional Features

Dev Services for Infinispan

Enabling / Disabling Dev Services for Infinispan

Shared server

Setting the port

Testing helpers

Configuration Reference