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Unveiling the Distinction between @JoinColumn and @mappedBy in JPA Relationships
In JPA, managing relationships between entities is crucial for data integrity and retrieval. Two annotations, @JoinColumn and @mappedBy, play distinct roles in establishing these relationships.
@JoinColumn: Indicating Ownership and Foreign Key Column
The @JoinColumn annotation marks an entity as the owner of a relationship. This means that the corresponding table will contain a column with a foreign key reference to the referenced table. In the example provided:
@OneToMany(cascade = CascadeType.ALL , fetch = FetchType.LAZY) @JoinColumn(name = "companyIdRef", referencedColumnName = "companyId") private List<Branch> branches;
The Company entity owns the relationship with its Branch entity. The @JoinColumn annotation specifies that a column named "companyIdRef" in the Branch table will hold the foreign key to the "companyId" column in the Company table.
@mappedBy: Indicating Inverse Relationship and Owner in Opposite Entity
On the other hand, the @mappedBy attribute marks an entity as the inverse of a relationship. The attribute name specified in @mappedBy should match the name of the property in the opposing entity that represents the relationship from its perspective.
In the example:
@OneToMany(cascade = CascadeType.ALL , fetch = FetchType.LAZY, mappedBy = "companyIdRef") private List<Branch> branches;
The @mappedBy attribute indicates that the Branch entity is the inverse of the relationship with respect to the Company entity. As "companyIdRef" matches the property name in the Branch entity:
@ManyToOne(fetch = FetchType.LAZY) @JoinColumn(name = "companyId") private Company company;
Consequences of Annotation Usage
Conclusion
Understanding the difference between @JoinColumn and @mappedBy is essential for establishing correct relationships between JPA entities. By utilizing these annotations appropriately, developers can maintain data integrity and seamlessly navigate complex object graphs.
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