Hibernate is the implementation of the Java Persistence API.
Tutorials: http://viralpatel.net/blogs/hibernate-one-to-many-annotation-tutorial/
ACHTUNG:
Then the modelling will look as following:
@Entity @Table(name="EMPLOYEE") public class Employee { @ManyToOne @JoinColumn(name="department_id") private Department department; } @Entity @Table(name="DEPARTMENT") public class Department{ @OneToMany(mappedBy="department") private Set<Employee> employees; }
Discriminators are used for for storing class hierarchies in a single table. If having RedCar.class inheriting from Car.class - both stored in one table, then discriminator tells - hwne t orestore a RedCar and when t orestore a Car.
The element is required for polymorphic persistence using the table-per-class-hierarchy mapping strategy and declares a discriminator column of the table. The discriminator column contains marker values that tell the persistence layer what subclass to instantiate for a particular row.
The Domain Model looks as following
Campus -is-> Location CampusPart -is-> Location Campus -hasmany-> CampusPart
Introduce a Superclass with an ID.
@MappedSuperclass @Table(name = "locations", schema = "public") public abstract class ELocation { @Id @Column(name = "ID", unique = true, nullable = false, insertable = false, updatable = false) protected UUID id = UuidCreator.getSequential(); }
Here Both Entities Campus and CampuPart have a Link on each other. This is called a BiDirectional modeling
Introduce an ECampusPart Here the JoinTable is on CampusPart, so it is the owning-side of the connection.
@Entity(name = "ECampusPart") @Table(name = "campusparts", schema = "public") public class ECampusPart extends ELocation { /* Modeling a bidirectional relationship here. JoinTable means - that relationships will be extracted explicitely to an own table. Allows to explicitely name the columns: campuspart_id and campus_id here */ @ManyToOne(cascade = {CascadeType.MERGE, CascadeType.PERSIST, CascadeType.REFRESH}) @JoinTable( name = "campus_campuspart", joinColumns = {@JoinColumn(name = "campuspart_id")}, inverseJoinColumns = {@JoinColumn(name = "campus_id")} ) private ECampus campus;
Using “JoinTable” results in the creation of a special table
@Entity(name = "ECampusPart") @Table(name = "campusparts", schema = "public") public class ECampusPart extends ELocation { @ManyToOne(cascade = {CascadeType.MERGE, CascadeType.PERSIST, CascadeType.REFRESH}) @JoinTable( name = "campus_campuspart", joinColumns = {@JoinColumn(name = "campuspart_id")}, inverseJoinColumns = {@JoinColumn(name = "campus_id")} ) private ECampus campus;
Results in
campuses
dtype | id | object_type | name |
---|---|---|---|
ECampusPart | 497ffe9a-51bb-4ab4-bc3d-b8923d620703 | CampusPart | ViennaSmart City Campus front part |
campusparts
dtype | id | object_type | name |
---|---|---|---|
ECampus | dbadab87-7b6d-4e8b-b2c8-0663d68dfe7b | Campus | ViennaSmart City Campus |
campus_campuspart
campus_id | campuspart_id |
---|---|
497ffe9a-51bb-4ab4-bc3d-b8923d620703 | dbadab87-7b6d-4e8b-b2c8-0663d68dfe7b |
Omitting the “JoinTable” results in embedding the Foreign key campus_id - into the CampusPart table
@Entity(name = "ECampusPart") @Table(name = "campusparts", schema = "public") public class ECampusPart extends ELocation { @ManyToOne(cascade = {CascadeType.MERGE, CascadeType.PERSIST, CascadeType.REFRESH}) private ECampus campus;
Results in
campuses
dtype | id | object_type | name | campus_id |
---|---|---|---|---|
ECampusPart | 497ffe9a-51bb-4ab4-bc3d-b8923d620703 | CampusPart | ViennaSmart City Campus front part | dbadab87-7b6d-4e8b-b2c8-0663d68dfe7b |
campusparts
dtype | id | object_type | name |
---|---|---|---|
ECampus | dbadab87-7b6d-4e8b-b2c8-0663d68dfe7b | Campus | ViennaSmart City Campus |
Introduce an ECampus. Here the mappedBy is on Campus, so it is the inverse-side of the connection.
@Entity(name="ECampus") @Table(name = "campuses", schema = "public") public class ECampus extends ELocation { @OneToMany(mappedBy = "campus", cascade = {CascadeType.MERGE, CascadeType.PERSIST, CascadeType.REFRESH}) private Set<ECampusPart> campusParts = new HashSet<>(); }
ManyToMany relationships can lead to inconsitancies when
Seems like when wiring entities, which are affected on both sides - it should happen in 1 transaction.
In Spring boot you need to annotate a method with @Transactional
At a high level, Spring creates proxies for all the classes annotated with @Transactional, either on the class or on any of the methods. The proxy allows the framework to inject transactional logic before and after the running method, mainly for starting and committing the transaction.
https://www.baeldung.com/transaction-configuration-with-jpa-and-spring
https://thorben-janssen.com/transactions-spring-data-jpa/
@Service @Getter public class EquipmentService { @Autowired private EquipmentRepository equipmentRepository; @Transactional public void updateEquipmentFeeds(ResourcePK equipmentFeeds, ResourcePK equipmentTarget) { Assert.isTrue(equipmentFeeds.getPartitionId().equals(equipmentTarget.getPartitionId()), "Only allow feeds in same partition"); Equipment e1 = equipmentRepository.findById(equipmentFeeds).get(); Equipment e2 = equipmentRepository.findById(equipmentTarget).get(); e1.getFeeds().add(e2); equipmentRepository.save(e1); } }
@ManyToMany(fetch = FetchType.EAGER, cascade = CascadeType.ALL) @JoinTable(name="FeedsRel", joinColumns={ @JoinColumn( name = "feedsrel_child_id", referencedColumnName = "id"), @JoinColumn( name = "feedsrel_child_partitionId", referencedColumnName = "partitionId") }) private Set<Equipment> feeds = new HashSet<Equipment>(); // Associations marked as mappedBy must not define database mappings like @JoinTable or @JoinColumn @ManyToMany( cascade = CascadeType.ALL, mappedBy="feeds", fetch = FetchType.EAGER) private Set<Equipment> fedBy = new HashSet<Equipment>();