Quarkus - Infinispan Client
Infinispan is an in memory data grid that allows running in a server outside of application processes. This extension provides functionality to allow the client that can connect to said server when running in Quarkus.
More information can be found about Infinispan at https://infinispan.org and the client/server at https://infinispan.org/docs/dev/user_guide/user_guide.html#client_server
Configuration
Once you have your Quarkus project configured you can add the infinispan-client
extension to your project by running the following from the command line in your project base directory.
./mvnw quarkus:add-extension -Dextensions="infinispan-client"
This will add the following to your pom.xml
<dependency>
<groupId>io.quarkus</groupId>
<artifactId>quarkus-infinispan-client</artifactId>
</dependency>
The Infinispan client is configurable in the application.properties
file that can be provided in the src/main/resources
directory. These are the properties that can be configured in this file:
It is also possible to configure a hotrod-client.properties
as described in the Infinispan user guide. Note that the hotrod-client.properties
values overwrite any matching property from the other configuration values (eg. near cache). This properties file is build time only and if it is changed, requires a full rebuild.
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;
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);
}
// Getter/Setter/equals/hashCode/toString omitted
}
Serialization of user types uses a library based on protobuf, called Protostream.
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 SerializationContextInitializer
interface with an annotation on it to specify configuration settings
BookContextInitializer.java
@AutoProtoSchemaBuilder(includeClasses = { Book.class, Author.class }, schemaPackageName = "book_sample")
interface BookContextInitializer extends SerializationContextInitializer {
}
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 utilize querying, you must know the generated package.
In Quarkus the schemaFileName and schemaFilePath attributes should NOT be set on the AutoProtoSchemaBuilder annotation, setting either will cause native runtime to error. |
User written 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 theMETA-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;
}
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 typeorg.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" +
"\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.
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);
}
@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);
return new Book(title, description, publicationYear, authors);
}
}
And you pass the marshaller by defining the following:
@Produces
MessageMarshaller authorMarshaller() {
return new AuthorMarshaller();
}
@Produces
MessageMarshaller bookMarshaller() {
return new BookMarshaller();
}
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.
Other types may be supported for injection, please see other sections for more information |
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 this at https://infinispan.org/docs/stable/titles/developing/developing.html#query_dsl.
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;
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 at https://infinispan.org/docs/dev/user_guide/user_guide.html#hr_encryption.
The Infinispan Client extension enables SSL by default. You can read more about this at Using SSL With Native Executables.
Authentication
This chart illustrates what mechanisms have been verified to be working properly with the Quarkus Infinispan Client extension.
Name | Verified |
---|---|
DIGEST-MD5 | Y |
PLAIN | Y |
EXTERNAL | Y |
GSSAPI | N |
Custom | N |
The guide for configuring these can be found at https://infinispan.org/docs/dev/user_guide/user_guide.html#authentication. However you need to configure these through the hotrod-client.properties
file if using Dependency Injection.
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!