Good Relationships by Michael Hunger

By Michael Hunger

With Spring facts, the ever well known Spring Framework has cultivated a brand new patch of flooring, bringing enormous information and NOSQL know-how like Neo4j to firm builders. This advisor introduces you to Spring information Neo4j, utilizing the short, robust and scalable graph database Neo4j to benefit from the merits of getting reliable relationships on your facts. Written by way of the venture lead, reliable Relationships presents all of the functional info you would like for constructing company purposes with Spring facts Neo4j. The booklet starts off with a story instructional approximately enforcing Cineasts.net, an entire social web-app for motion picture fans. Then, an intensive reference half information middle Neo4j options, querying, and the straightforward annotated POJO programming version of Spring info Neo4j.

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It also provides the operations of the Neo4j Core API in a more convenient way. Especially the querying (Indexes, Cypher, Gremlin and Traversals) and result conversion facilities allow writing very concise code. Spring Data Commons provides a very powerful repository infrastructure that is also leveraged in Spring Data Neo4j. Those repositories consist only of a composition of interfaces that declare the available functionality in each repository. The implementation details of commonly used persistence methods are handled by the library.

1. @RelatedTo: Connecting node entities Every field of a node entity that references one or more other node entities is backed by relationships in the graph. These relationships are managed by Spring Data Neo4j automatically. The simplest kind of relationship is a single field pointing to another node entity (1:1). In this case, the field does not have to be annotated at all, although the annotation may be used to control the direction and type of the relationship. When setting the field, a relationship is created when the entity is persisted.

The simple object graph mapping comes into play whenever an entity is constructed from a node or relationship. This could be done explicitly like during the lookup- or create-operations of the repositories and the Neo4jTemplate but also implicitly while executing any graph operation that returns nodes or relationships and expecting mapped entities to be returned. It uses the available meta-information about the persistent entity to iterate over its properties and relationships, fetching their data from the graph while doing so.

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