Elasticsearch as a data store

Being a JPA provider, Kundera provides support for Elasticseach.

Kundera Elasticsearch mapping -

JPA attribute	Elasticsearch attribute
Schema Name	Index Name
Table Name	Index Type
Primary Key	Index Id

##Persistence unit configuration

<persistence-unit name="es-pu">
	<provider>com.impetus.kundera.KunderaPersistence</provider>
	<properties>
		<property name="kundera.nodes" value="localhost" />
		<property name="kundera.port" value="9300" />
		<property name="kundera.keyspace" value="esSchema" />
		<property name="kundera.dialect" value="es" />
		<property name="kundera.client.lookup.class" value="com.impetus.client.es.ESClientFactory" />
	</properties>
</persistence-unit>

##Example

###Entity

@Entity
@Table(name = "BOOK", schema = "esSchema@es-pu")
public class Book
{
    @Id
    @Column(name = "BOOK_ID")
    private int bookId;

    @Column(name = "TITLE")
    private String title;

    @Column(name = "AUTHOR")
    private String author;

    @Column(name = "NUM_PAGES")
    private int numPages;

    // getters and setters
}

###Testcase

EntityManagerFactory emf = Persistence.createEntityManagerFactory("es-pu");
EntityManager em = emf.createEntityManager();

Book b = new Book();
b.setBookId(101);
b.setAuthor("George R. R. Martin");
b.setTitle("A Game of Thrones");
b.setNumPages(694);

em.persist(b);

This book object in persisted in Elasticsearch under esSchema schema, BOOK index with 101 id.