Handling Associations Between Entities with Spring Data REST

Table Of Contents

Spring Data Rest allows to rapidly create a REST API to manipulate and query a database by exposing Spring Data repositories via its @RepositoryRestResource annotation.

Example Code

This article is accompanied by a working code example on GitHub.

Managing associations between entities with Spring Data Rest isn’t quite self-explanatory. That’s why in this post I’m writing up what I learned about managing associations of different types with Spring Data Rest.

The Domain Model

For the sake of example, we will use a simple domain model composed of Customer and Address entities. A Customer may have one or more Addresses. Each Address may or may not have one Customer. This relationship can be modelled in different variants with JPA’s @ManyToOne and @OneToMany annotations. For each of those variants we will explore how to associate Addresses and Customers with Spring Data Rest.

Before associating two entities, Spring Data Rest assumes that both entities already exist. So for the next sections, we assume that we already have created at least one Address and Customer entity. When working with Spring Data Rest, this implies that a Spring Data repository must exist for both entities.

Associating entities from a unidirectional @ManyToOne relationship

The easiest variant is also the cleanest and most maintainable. Address has a Customer field annotated with @ManyToOne. A Customer on the other hand doesn’t know anything about his Addresses.

@Entity
public class Address {
  @Id
  @GeneratedValue 
  private Long id;
  @Column
  private String street;
  @ManyToOne
  private Customer customer;
  // getters, setters omitted
}

@Entity
public class Customer {
  @Id
  @GeneratedValue
  private long id;
  @Column
  private String name;
  // getters, setters omitted
}

The following request will associate the Customer with ID 1 with the Address with ID 1:

PUT /addresses/1/customer HTTP/1.1
Content-Type: text/uri-list
Host: localhost:8080
Content-Length: 33

http://localhost:8080/customers/1

We send a PUT request to the association resource between an Address and a Customer. Note that the Content-Type is text/uri-list so valid payload must be a list of URIs. We provide the URI to the customer resource with ID 1 to create the association in the database. The response for this result will be a HTTP status 204 (no content).

Associating entities from a unidirectional @OneToMany relationship

Coming from the other end of the relationship, we have a Customer that has a list of Addresses and the Addresses don’t know about the Customers they are associated with.

@Entity
public class Address {
  @Id
  @GeneratedValue 
  private Long id;
  @Column
  private String street;
  // getters, setters omitted
}

@Entity
public class Customer {
  @Id
  @GeneratedValue
  private long id;
  @Column
  private String name;
  @OneToMany(cascade=CascadeType.ALL)
  private List<Address> addresses;
  // getters, setters omitted
}

Again, a PUT request to the association resource will create an association between a customer and one or more addresses. The following request associates two Addresses with the Customer with ID 1:

PUT customers/1/addresses HTTP/1.1
Content-Type: text/uri-list
Host: localhost:8080
Content-Length: 67

http://localhost:8080/addresses/1
http://localhost:8080/addresses/2

Note that a PUT request will remove all associations that may have been created before so that only those associations remain that were specified in the uri list. A POST request, on the other hand, will add the associations specified in the uri list to those that already exist.

Associating entities in a bidirectional @OneToMany/@ManyToOne relationship

When both sides of the association know each other, we have a bidirectional association, which looks like this in JPA:

@Entity
public class Address {
  @Id
  @GeneratedValue 
  private Long id;
  @Column
  private String street;
  @ManyToOne
  private Customer customer;
  // getters, setters omitted
  
}

@Entity
public class Customer {
  @Id
  @GeneratedValue
  private long id;
  @Column
  private String name;
  @OneToMany(cascade=CascadeType.ALL, mappedBy="customer")
  private List<Address> addresses;
  // getters, setters omitted
}

From the address-side (i.e. the @ManyToOne-side) of the relationship, this will work as above.

From the customer-side, however, a PUT request like the one above that contains one or more links to an Address, will not work. The association will not be stored in the database. That’s because Spring Data Rest simply puts a list of Addresses into the Customer object and tells Hibernate to store it. Hibernate, however, only stores the associations in a bidirectional relationship if all Addresses also know the Customer they belong to (also see this post on Stackoverflow). Thus, we need to add this information manually, for example with the following method on the Customer entity:

@PrePersist
@PreUpdate
public void updateAddressAssociation(){
  for(BidirectionalAddress address : this.addresses){
    address.setCustomer(this);
  }
}

Even then, it does not behave as in the unidirectional @OneToMany case. A PUT request will not delete all previously stored associations and a POST request will do nothing at all.

Wrap Up

The thing to learn from this is not to use bidirectional associations in JPA. They are hard to handle with and without Spring Data Rest. Stick with unidirectional associations and make explicit repository calls for each use case you are implementing instead of counting on the supposed ease-of-use of a bidirectional association.

Written By:

Tom Hombergs

Written By:

Tom Hombergs

As a professional software engineer, consultant, architect, general problem solver, I've been practicing the software craft for more than fifteen years and I'm still learning something new every day. I love sharing the things I learned, so you (and future me) can get a head start. That's why I founded reflectoring.io.

Recent Posts

Optimizing Node.js Application Performance with Caching

Endpoints or APIs that perform complex computations and handle large amounts of data face several performance and responsiveness challenges. This occurs because each request initiates a computation or data retrieval process from scratch, which can take time.

Read more

Bubble Sort in Kotlin

Bubble Sort, a basic yet instructive sorting algorithm, takes us back to the fundamentals of sorting. In this tutorial, we’ll look at the Kotlin implementation of Bubble Sort, understanding its simplicity and exploring its limitations.

Read more

Quick Sort in Kotlin

Sorting is a fundamental operation in computer science and Quick Sort stands out as one of the most efficient sorting algorithms.

Read more