This version is still in development and is not considered stable yet. For the latest stable version, please use Spring Data Neo4j 7.4.0!

Metadata-based Mapping

To take full advantage of the object mapping functionality inside SDN, you should annotate your mapped objects with the @Node annotation. Although it is not necessary for the mapping framework to have this annotation (your POJOs are mapped correctly, even without any annotations), it lets the classpath scanner find and pre-process your domain objects to extract the necessary metadata. If you do not use this annotation, your application takes a slight performance hit the first time you store a domain object, because the mapping framework needs to build up its internal metadata model so that it knows about the properties of your domain object and how to persist them.

Mapping Annotation Overview

From SDN

@Node: Applied at the class level to indicate this class is a candidate for mapping to the database.
@Id: Applied at the field level to mark the field used for identity purpose.
@GeneratedValue: Applied at the field level together with @Id to specify how unique identifiers should be generated.
@Property: Applied at the field level to modify the mapping from attributes to properties.
@CompositeProperty: Applied at the field level on attributes of type Map that shall be read back as a composite. See Composite properties.
@Relationship: Applied at the field level to specify the details of a relationship.
@DynamicLabels: Applied at the field level to specify the source of dynamic labels.
@RelationshipProperties: Applied at the class level to indicate this class as the target for properties of a relationship.
@TargetNode: Applied on a field of a class annotated with @RelationshipProperties to mark the target of that relationship from the perspective of the other end.

The following annotations are used to specify conversions and ensure backwards compatibility with OGM.

@DateLong
@DateString
@ConvertWith

See Conversions for more information on that.

From Spring Data commons

@org.springframework.data.annotation.Id same as @Id from SDN, in fact, @Id is annotated with Spring Data Common’s Id-annotation.
@CreatedBy: Applied at the field level to indicate the creator of a node.
@CreatedDate: Applied at the field level to indicate the creation date of a node.
@LastModifiedBy: Applied at the field level to indicate the author of the last change to a node.
@LastModifiedDate: Applied at the field level to indicate the last modification date of a node.
@PersistenceCreator: Applied at one constructor to mark it as the preferred constructor when reading entities.
@Persistent: Applied at the class level to indicate this class is a candidate for mapping to the database.
@Version: Applied at field level it is used for optimistic locking and checked for modification on save operations. The initial value is zero which is bumped automatically on every update.
@ReadOnlyProperty: Applied at field level to mark a property as read only. The property will be hydrated during database reads, but not be subject to writes. When used on relationships be aware that no related entity in that collection will be persisted if not related otherwise.

Have a look at Auditing for all annotations regarding auditing support.

The basic building block: `@Node`

The @Node annotation is used to mark a class as a managed domain class, subject to the classpath scanning by the mapping context.

To map an Object to nodes in the graph and vice versa, we need a label to identify the class to map to and from.

@Node has an attribute labels that allows you to configure one or more labels to be used when reading and writing instances of the annotated class. The value attribute is an alias for labels. If you don’t specify a label, then the simple class name will be used as the primary label. In case you want to provide multiple labels, you could either:

Supply an array to the labels property. The first element in the array will be considered as the primary label.
Supply a value for primaryLabel and put the additional labels in labels.

The primary label should always be the most concrete label that reflects your domain class.

For each instance of an annotated class that is written through a repository or through the Neo4j template, one node in the graph with at least the primary label will be written. Vice versa, all nodes with the primary label will be mapped to the instances of the annotated class.

A note on class hierarchies

The @Node annotation is not inherited from super-types and interfaces. You can however annotate your domain classes individually at every inheritance level. This allows polymorphic queries: You can pass in base or intermediate classes and retrieve the correct, concrete instance for your nodes. This is only supported for abstract bases annotated with @Node. The labels defined on such a class will be used as additional labels together with the labels of the concrete implementations.

We also support interfaces in domain-class-hierarchies for some scenarios:

Domain model in a separate module, same primary label like the interface name

public interface SomeInterface { (1)

    String getName();

    SomeInterface getRelated();
}

@Node("SomeInterface") (2)
public static class SomeInterfaceEntity implements SomeInterface {

    @Id
    @GeneratedValue
    private Long id;

    private final String name;

    private SomeInterface related;

    public SomeInterfaceEntity(String name) {
        this.name = name;
    }

    @Override
    public String getName() {
        return name;
    }

    @Override
    public SomeInterface getRelated() {
        return related;
    }
}

1	Just the plain interface name, as you would name your domain
2	As we need to synchronize the primary labels, we put `@Node` on the implementing class, which is probably in another module. Note that the value is exactly the same as the name of the interface implemented. Renaming is not possible.

Using a different primary label instead of the interface name is possible, too:

Different primary label

@Node("PrimaryLabelWN") (1)
public interface SomeInterface2 {

    String getName();

    SomeInterface2 getRelated();
}

public static class SomeInterfaceEntity2 implements SomeInterface2 {

    // Overrides omitted for brevity
}

1	Put the `@Node` annotation on the interface

It’s also possible to use different implementations of an interface and have a polymorph domain model. When doing so, at least two labels are required: A label determining the interface and one determining the concrete class:

Multiple implementations

@Node("SomeInterface3") (1)
public interface SomeInterface3 {

    String getName();

    SomeInterface3 getRelated();
}

@Node("SomeInterface3a") (2)
public static class SomeInterfaceImpl3a implements SomeInterface3 {

    // Overrides omitted for brevity
}
@Node("SomeInterface3b") (3)
public static class SomeInterfaceImpl3b implements SomeInterface3 {

    // Overrides omitted for brevity
}

@Node
public static class ParentModel { (4)

    @Id
    @GeneratedValue
    private Long id;

    private SomeInterface3 related1; (5)

    private SomeInterface3 related2;
}

1	Explicitly specifying the label that identifies the interface is required in this scenario
2	Which applies for the first…
3	and second implementation as well
4	This is a client or parent model, using `SomeInterface3` transparently for two relationships
5	No concrete type is specified

The data structure needed is shown in the following test. The same would be written by the OGM:

Data structure needed for using multiple, different interface implementations

Long id;
try (Session session = driver.session(bookmarkCapture.createSessionConfig()); Transaction transaction = session.beginTransaction()) {
    id = transaction.run("" +
        "CREATE (s:ParentModel{name:'s'}) " +
        "CREATE (s)-[:RELATED_1]-> (:SomeInterface3:SomeInterface3b {name:'3b'}) " +
        "CREATE (s)-[:RELATED_2]-> (:SomeInterface3:SomeInterface3a {name:'3a'}) " +
        "RETURN id(s)")
        .single().get(0).asLong();
    transaction.commit();
}

Optional<Inheritance.ParentModel> optionalParentModel = transactionTemplate.execute(tx ->
        template.findById(id, Inheritance.ParentModel.class));

assertThat(optionalParentModel).hasValueSatisfying(v -> {
    assertThat(v.getName()).isEqualTo("s");
    assertThat(v).extracting(Inheritance.ParentModel::getRelated1)
            .isInstanceOf(Inheritance.SomeInterfaceImpl3b.class)
            .extracting(Inheritance.SomeInterface3::getName)
            .isEqualTo("3b");
    assertThat(v).extracting(Inheritance.ParentModel::getRelated2)
            .isInstanceOf(Inheritance.SomeInterfaceImpl3a.class)
            .extracting(Inheritance.SomeInterface3::getName)
            .isEqualTo("3a");
});

Interfaces cannot define an identifier field. As a consequence they are not a valid entity type for repositories.

Dynamic or "runtime" managed labels

All labels implicitly defined through the simple class name or explicitly via the @Node annotation are static. They cannot be changed during runtime. If you need additional labels that can be manipulated during runtime, you can use @DynamicLabels. @DynamicLabels is an annotation on field level and marks an attribute of type java.util.Collection<String> (a List or Set) for example) as source of dynamic labels.

If this annotation is present, all labels present on a node and not statically mapped via @Node and the class names, will be collected into that collection during load. During writes, all labels of the node will be replaced with the statically defined labels plus the contents of the collection.

If you have other applications add additional labels to nodes, don’t use @DynamicLabels. If @DynamicLabels is present on a managed entity, the resulting set of labels will be "the truth" written to the database.

Identifying instances: `@Id`

While @Node creates a mapping between a class and nodes having a specific label, we also need to make the connection between individual instances of that class (objects) and instances of the node.

This is where @Id comes into play. @Id marks an attribute of the class to be the unique identifier of the object. That unique identifier is in an optimal world a unique business key or in other words, a natural key. @Id can be used on all attributes with a supported simple type.

Natural keys are however pretty hard to find. Peoples names for example are seldom unique, change over time or worse, not everyone has a first and last name.

We therefore support two different kind of surrogate keys.

On an attribute of type String, long or Long, @Id can be used with @GeneratedValue. Long and long maps to the Neo4j internal id. String maps to the elementId that is available since Neo4j 5. Both are not a property on a node or relationship and usually not visible, to the attribute and allows SDN to retrieve individual instances of the class.

@GeneratedValue provides the attribute generatorClass. generatorClass can be used to specify a class implementing IdGenerator. An IdGenerator is a functional interface and its generateId takes the primary label and the instance to generate an Id for. We support UUIDStringGenerator as one implementation out of the box.

You can also specify a Spring Bean from the application context on @GeneratedValue via generatorRef. That bean also needs to implement IdGenerator, but can make use of everything in the context, including the Neo4j client or template to interact with the database.

Don’t skip the important notes about ID handling in Handling and provisioning of unique IDs

Optimistic locking: `@Version`

Spring Data Neo4j supports optimistic locking by using the @Version annotation on a Long typed field. This attribute will get incremented automatically during updates and must not be manually modified.

If, e.g., two transactions in different threads want to modify the same object with version x, the first operation will get successfully persisted to the database. At this moment, the version field will get incremented, so it is x+1. The second operation will fail with a OptimisticLockingFailureException because it wants to modify the object with the version x that does not exist anymore in the database. In such cases the operation needs to get retried, beginning with a fresh fetch of the object with the current version from the database.

The @Version attribute is also mandatory if business ids are used. Spring Data Neo4j will check this field to determine if the entity is new or has already been persisted before.

Mapping properties: `@Property`

All attributes of a @Node-annotated class will be persisted as properties of Neo4j nodes and relationships. Without further configuration, the name of the attribute in the Java or Kotlin class will be used as Neo4j property.

If you are working with an existing Neo4j schema or just like to adapt the mapping to your needs, you will need to use @Property. The name is used to specify the name of the property inside the database.

Connecting nodes: `@Relationship`

The @Relationship annotation can be used on all attributes that are not a simple type. It is applicable on attributes of other types annotated with @Node or collections and maps thereof.

The type or the value attribute allow configuration of the relationship’s type, direction allows specifying the direction. The default direction in SDN is Relationship.Direction#OUTGOING.

We support dynamic relationships. Dynamic relationships are represented as a Map<String, AnnotatedDomainClass> or Map<Enum, AnnotatedDomainClass>. In such a case, the type of the relationship to the other domain class is given by the maps key and must not be configured through the @Relationship.

Map relationship properties

Neo4j supports defining properties not only on nodes but also on relationships. To express those properties in the model SDN provides @RelationshipProperties to be applied on a simple Java class. Within the properties class there have to be exactly one field marked as @TargetNode to define the entity the relationship points towards. Or, in an INCOMING relationship context, is coming from.

A relationship property class and its usage may look like this:

Relationship properties Roles

@RelationshipProperties
public class Roles {

	@RelationshipId
	private Long id;

	private final List<String> roles;

	@TargetNode
	private final PersonEntity person;

	public Roles(PersonEntity person, List<String> roles) {
		this.person = person;
		this.roles = roles;
	}


	public List<String> getRoles() {
		return roles;
	}

	@Override
	public String toString() {
		return "Roles{" +
				"id=" + id +
				'}' + this.hashCode();
	}
}

You must define a property for the generated, internal ID (@RelationshipId) so that SDN can determine during save which relationships can be safely overwritten without losing properties. If SDN does not find a field for storing the internal node id, it will fail during startup.

Defining relationship properties for an entity

@Relationship(type = "ACTED_IN", direction = Direction.INCOMING) (1)
private List<Roles> actorsAndRoles = new ArrayList<>();

Relationship query remarks

In general there is no limitation of relationships / hops for creating the queries. SDN parses the whole reachable graph from your modelled nodes.

This said, when there is the idea of mapping a relationship bidirectional, meaning you define the relationship on both ends of your entity, you might get more than what you are expecting.

Consider an example where a movie has actors, and you want to fetch a certain movie with all its actors. This won’t be problematical if the relationship from movie to actor were just unidirectional. In a bidirectional scenario SDN would fetch the particular movie, its actors but also the other movies defined for this actor per definition of the relationship. In the worst case, this will cascade to fetching the whole graph for a single entity.

A complete example

Putting all those together, we can create a simple domain. We use movies and people with different roles:

Example 1. The MovieEntity

import java.util.ArrayList;
import java.util.List;

import org.springframework.data.neo4j.core.schema.Id;
import org.springframework.data.neo4j.core.schema.Node;
import org.springframework.data.neo4j.core.schema.Property;
import org.springframework.data.neo4j.core.schema.Relationship;
import org.springframework.data.neo4j.core.schema.Relationship.Direction;

@Node("Movie") (1)
public class MovieEntity {

	@Id (2)
	private final String title;

	@Property("tagline") (3)
	private final String description;

	@Relationship(type = "ACTED_IN", direction = Direction.INCOMING) (4)
	private List<Roles> actorsAndRoles = new ArrayList<>();

	@Relationship(type = "DIRECTED", direction = Direction.INCOMING)
	private List<PersonEntity> directors = new ArrayList<>();

	public MovieEntity(String title, String description) { (5)
		this.title = title;
		this.description = description;
	}

	// Getters omitted for brevity
}

1	`@Node` is used to mark this class as a managed entity. It also is used to configure the Neo4j label. The label defaults to the name of the class, if you’re just using plain `@Node`.
2	Each entity has to have an id. We use the movie’s name as unique identifier.
3	This shows `@Property` as a way to use a different name for the field than for the graph property.
4	This configures an incoming relationship to a person.
5	This is the constructor to be used by your application code as well as by SDN.

People are mapped in two roles here, actors and directors. The domain class is the same:

Example 2. The PersonEntity

import org.springframework.data.neo4j.core.schema.Id;
import org.springframework.data.neo4j.core.schema.Node;

@Node("Person")
public class PersonEntity {

	@Id private final String name;

	private final Integer born;

	public PersonEntity(Integer born, String name) {
		this.born = born;
		this.name = name;
	}

	public Integer getBorn() {
		return born;
	}

	public String getName() {
		return name;
	}

}

We haven’t modelled the relationship between movies and people in both direction. Why is that? We see the MovieEntity as the aggregate root, owning the relationships. On the other hand, we want to be able to pull all people from the database without selecting all the movies associated with them. Please consider your application’s use case before you try to map every relationship in your database in every direction. While you can do this, you may end up rebuilding a graph database inside your object graph and this is not the intention of a mapping framework. If you have to model your circular or bidirectional domain and don’t want to fetch the whole graph, you can define a fine-grained description of the data that you want to fetch by using projections.