remove related #OneToOne automatically in JPA - java

I'm using the following in JPA:
#Entity
class ParentClass {
#Id
#GeneratedValue
private long id;
...
#OneToOne(cascade = { cascade = { CascadeType.ALL },
mappedBy = "parentClass")
ChildClass child;
..
}
#Entity
class ChildClass {
#OneToOne
ParentClass parentClass;
}
If I do a Query like createQuery("DELETE FROM ParentClass pc"), my child Class is not deleted automatically.
Can this be done with JPA-2.0? (I does work with #OneToMany relationships).

Bulk DML queries such as DELETE FROM ParentClass pc ignore cascading options and orphanRemoval, so if you actually need to do it in a bulk query, you can't configure JPA to delete ChildClasses automatically.
However, you can configure your database to do it by adding a REFERENCES ... ON DELETE CASCADE constraint to the foregin key of ChildClass in your database schema.

In JPA2 you can set orphanRemoval = true on #OneToOne annotation. However I would say that CascadeType.ALL should handle that. What if you call em.remove(parentClass) instead of calling query.

Related

One to one mapping is triggering N+1 queries

I'm trying to make an #OneToOne mapping following the https://vladmihalcea.com/the-best-way-to-map-a-onetoone-relationship-with-jpa-and-hibernate/ the mapping itself works but its triggering an N+1 query problem.
The query is being made on the parent entity service and its triggering N+1 queries.
How can I improve this code to only make 1 query? We don't need to access the ParentDetails in this case.
EDIT: I've tried using JPQL and LEFT JOIN FETCH ParentDetails and didn't work either.
EDIT2: Just to try to add more information. I've put a breakpoint on the getParentDetails just to make sure I was not calling the getter anywhere and I'm not calling and double-checked and it seems a join problem on the repo call.
Let's go to the code:
Parent
#Entity
#DynamicUpdate
public class Parent {
#Id
#GeneratedValue(strategy = GenerationType.AUTO)
private Long id;
#OneToOne(fetch = FetchType.LAZY,
cascade = CascadeType.ALL,
mappedBy = "parent")
private ParentDetails parentDetails;
// Getters, setters, etc omitted for brevity
}
ParentDetails
#Entity
public class ParentDetails {
#Id
private Long id;
#OneToOne(fetch = FetchType.LAZY)
#MapsId
private Parent parent;
// Getters, setters, etc omitted for brevity
ParentDetailsRepository
#Repository
public interface ParentRepository extends JpaRepository<Parent, Long> {
Page<Parent>findByNameOrderByName(#Param("name") final String name,final Pageable pageable);
}
Hibernate executes the additional queries because the Parent entity doesn't map the foreign key column. Hibernate doesn't support lazy fetching for that end of the association. When Hibernate instantiates a Parent object, it needs to check if it needs to initialize the association with a proxy or a null object. And at some point, the team decided that they would fetch the associated entity if they are forced to perform a query anyways. I explained that in more detail here: https://thorben-janssen.com/hibernate-tip-lazy-loading-one-to-one
If you want to avoid the additional queries, you need to model a unidirectional association between ParentDetails and Parent. In your example, that would mean that you need to remove the parentDetails attribute from your Parent entity.
#Entity
#DynamicUpdate
public class Parent {
#Id
#GeneratedValue(strategy = GenerationType.AUTO)
private Long id;
// Getters, setters, etc omitted for brevity
}
Because your ParentDetails entity uses the same id value as the Parent entity, you don't need a bidirectional association. If you want to get the ParentDetails entity for a Parent entity, you can get it with a call of the em.find(...) method
Parent p = // fetch the parent object ...
ParentDetails pd = em.find(p.getId(), ParentDetails.class);

Why does hibernate save two #OneToMany lists in one table?

Imagine having following simplified code using Hibernate and JPA:
#Entity
class C {
#Id #GeneratedValue public long id;
}
#MappedSuperclass
abstract class A {
#Id #GeneratedValue public long id;
#OneToMany(cascade = CascadeType.ALL)
public List<C> list1;
#OneToMany(cascade = CascadeType.ALL)
public List<C> list2;
}
#Entity
class B extends A { }
Using a PostgreSQL database, this leads to a table b_c with columns
b_id | list1_id | list2_id
Now, trying to persist any B leads to following exception:
org.postgresql.util.PSQLException: FEHLER: NULL-Wert in Spalte „list2_id“ verletzt Not-Null-Constraint
Detail: Fehlgeschlagene Zeile enthält (779, 827, null).
Which roughly translates to
NULL-Value in column "list2_id" violates Non-Null-Constraint. Contents: (770, 827, null)
Why does this happen and how can I avoid it?
Merging the lists into one is not an option. Using Sets instead does not change anything.
This is happening because of the unidirectional #OneToMany association. You need to first determine if your association is unidirectional or bidirectional.
If your association is unidirectional then you need to use #JoinColumn to fix the extra join table problem. If your association is bidirectional, then you will rely on the #ManyToOne side to propagate all entity state changes, with the use of mappedBy on the #OneToMany side. You can find good explanation about different ways of #OneToMany association here.

Do I have to have to let Hibernate create table1_table2 schemas or can this be disabled? [duplicate]

What is the difference between:
#Entity
public class Company {
#OneToMany(cascade = CascadeType.ALL , fetch = FetchType.LAZY)
#JoinColumn(name = "companyIdRef", referencedColumnName = "companyId")
private List<Branch> branches;
...
}
and
#Entity
public class Company {
#OneToMany(cascade = CascadeType.ALL , fetch = FetchType.LAZY,
mappedBy = "companyIdRef")
private List<Branch> branches;
...
}
The annotation #JoinColumn indicates that this entity is the owner of the relationship (that is: the corresponding table has a column with a foreign key to the referenced table), whereas the attribute mappedBy indicates that the entity in this side is the inverse of the relationship, and the owner resides in the "other" entity. This also means that you can access the other table from the class which you've annotated with "mappedBy" (fully bidirectional relationship).
In particular, for the code in the question the correct annotations would look like this:
#Entity
public class Company {
#OneToMany(mappedBy = "company",
orphanRemoval = true,
fetch = FetchType.LAZY,
cascade = CascadeType.ALL)
private List<Branch> branches;
}
#Entity
public class Branch {
#ManyToOne(fetch = FetchType.LAZY)
#JoinColumn(name = "companyId")
private Company company;
}
#JoinColumn could be used on both sides of the relationship. The question was about using #JoinColumn on the #OneToMany side (rare case). And the point here is in physical information duplication (column name) along with not optimized SQL query that will produce some additional UPDATE statements.
According to documentation:
Since many to one are (almost) always the owner side of a bidirectional relationship in the JPA spec, the one to many association is annotated by #OneToMany(mappedBy=...)
#Entity
public class Troop {
#OneToMany(mappedBy="troop")
public Set<Soldier> getSoldiers() {
...
}
#Entity
public class Soldier {
#ManyToOne
#JoinColumn(name="troop_fk")
public Troop getTroop() {
...
}
Troop has a bidirectional one to many relationship with Soldier through the troop property. You don't have to (must not) define any physical mapping in the mappedBy side.
To map a bidirectional one to many, with the one-to-many side as the owning side, you have to remove the mappedBy element and set the many to one #JoinColumn as insertable and updatable to false. This solution is not optimized and will produce some additional UPDATE statements.
#Entity
public class Troop {
#OneToMany
#JoinColumn(name="troop_fk") //we need to duplicate the physical information
public Set<Soldier> getSoldiers() {
...
}
#Entity
public class Soldier {
#ManyToOne
#JoinColumn(name="troop_fk", insertable=false, updatable=false)
public Troop getTroop() {
...
}
Unidirectional one-to-many association
If you use the #OneToMany annotation with #JoinColumn, then you have a unidirectional association, like the one between the parent Post entity and the child PostComment in the following diagram:
When using a unidirectional one-to-many association, only the parent side maps the association.
In this example, only the Post entity will define a #OneToMany association to the child PostComment entity:
#OneToMany(cascade = CascadeType.ALL, orphanRemoval = true)
#JoinColumn(name = "post_id")
private List<PostComment> comments = new ArrayList<>();
Bidirectional one-to-many association
If you use the #OneToMany with the mappedBy attribute set, you have a bidirectional association. In our case, both the Post entity has a collection of PostComment child entities, and the child PostComment entity has a reference back to the parent Post entity, as illustrated by the following diagram:
In the PostComment entity, the post entity property is mapped as follows:
#ManyToOne(fetch = FetchType.LAZY)
private Post post;
The reason we explicitly set the fetch attribute to FetchType.LAZY is because, by default, all #ManyToOne and #OneToOne associations are fetched eagerly, which can cause N+1 query issues.
In the Post entity, the comments association is mapped as follows:
#OneToMany(
mappedBy = "post",
cascade = CascadeType.ALL,
orphanRemoval = true
)
private List<PostComment> comments = new ArrayList<>();
The mappedBy attribute of the #OneToMany annotation references the post property in the child PostComment entity, and, this way, Hibernate knows that the bidirectional association is controlled by the #ManyToOne side, which is in charge of managing the Foreign Key column value this table relationship is based on.
For a bidirectional association, you also need to have two utility methods, like addChild and removeChild:
public void addComment(PostComment comment) {
comments.add(comment);
comment.setPost(this);
}
public void removeComment(PostComment comment) {
comments.remove(comment);
comment.setPost(null);
}
These two methods ensure that both sides of the bidirectional association are in sync. Without synchronizing both ends, Hibernate does not guarantee that association state changes will propagate to the database.
Which one to choose?
The unidirectional #OneToMany association does not perform very well, so you should avoid it.
You are better off using the bidirectional #OneToMany which is more efficient.
I disagree with the accepted answer here by Óscar López. That answer is inaccurate!
It is NOT #JoinColumn which indicates that this entity is the owner of the relationship. Instead, it is the #ManyToOne annotation which does this (in his example).
The relationship annotations such as #ManyToOne, #OneToMany and #ManyToMany tell JPA/Hibernate to create a mapping. By default, this is done through a seperate Join Table.
#JoinColumn
The purpose of #JoinColumn is to create a join column if one does
not already exist. If it does, then this annotation can be used to
name the join column.
MappedBy
The purpose of the MappedBy parameter is to instruct JPA: Do NOT
create another join table as the relationship is already being mapped
by the opposite entity of this relationship.
Remember: MappedBy is a property of the relationship annotations whose purpose is to generate a mechanism to relate two entities which by default they do by creating a join table. MappedBy halts that process in one direction.
The entity not using MappedBy is said to be the owner of the relationship because the mechanics of the mapping are dictated within its class through the use of one of the three mapping annotations against the foreign key field. This not only specifies the nature of the mapping but also instructs the creation of a join table. Furthermore, the option to suppress the join table also exists by applying #JoinColumn annotation over the foreign key which keeps it inside the table of the owner entity instead.
So in summary: #JoinColumn either creates a new join column or renames an existing one; whilst the MappedBy parameter works collaboratively with the relationship annotations of the other (child) class in order to create a mapping either through a join table or by creating a foreign key column in the associated table of the owner entity.
To illustrate how MapppedBy works, consider the code below. If MappedBy parameter were to be deleted, then Hibernate would actually create TWO join tables! Why? Because there is a symmetry in many-to-many relationships and Hibernate has no rationale for selecting one direction over the other.
We therefore use MappedBy to tell Hibernate, we have chosen the other entity to dictate the mapping of the relationship between the two entities.
#Entity
public class Driver {
#ManyToMany(mappedBy = "drivers")
private List<Cars> cars;
}
#Entity
public class Cars {
#ManyToMany
private List<Drivers> drivers;
}
Adding #JoinColumn(name = "driverID") in the owner class (see below), will prevent the creation of a join table and instead, create a driverID foreign key column in the Cars table to construct a mapping:
#Entity
public class Driver {
#ManyToMany(mappedBy = "drivers")
private List<Cars> cars;
}
#Entity
public class Cars {
#ManyToMany
#JoinColumn(name = "driverID")
private List<Drivers> drivers;
}
The annotation mappedBy ideally should always be used in the Parent side (Company class) of the bi directional relationship, in this case it should be in Company class pointing to the member variable 'company' of the Child class (Branch class)
The annotation #JoinColumn is used to specify a mapped column for joining an entity association, this annotation can be used in any class (Parent or Child) but it should ideally be used only in one side (either in parent class or in Child class not in both) here in this case i used it in the Child side (Branch class) of the bi directional relationship indicating the foreign key in the Branch class.
below is the working example :
parent class , Company
#Entity
public class Company {
private int companyId;
private String companyName;
private List<Branch> branches;
#Id
#GeneratedValue
#Column(name="COMPANY_ID")
public int getCompanyId() {
return companyId;
}
public void setCompanyId(int companyId) {
this.companyId = companyId;
}
#Column(name="COMPANY_NAME")
public String getCompanyName() {
return companyName;
}
public void setCompanyName(String companyName) {
this.companyName = companyName;
}
#OneToMany(fetch=FetchType.LAZY,cascade=CascadeType.ALL,mappedBy="company")
public List<Branch> getBranches() {
return branches;
}
public void setBranches(List<Branch> branches) {
this.branches = branches;
}
}
child class, Branch
#Entity
public class Branch {
private int branchId;
private String branchName;
private Company company;
#Id
#GeneratedValue
#Column(name="BRANCH_ID")
public int getBranchId() {
return branchId;
}
public void setBranchId(int branchId) {
this.branchId = branchId;
}
#Column(name="BRANCH_NAME")
public String getBranchName() {
return branchName;
}
public void setBranchName(String branchName) {
this.branchName = branchName;
}
#ManyToOne(fetch=FetchType.LAZY)
#JoinColumn(name="COMPANY_ID")
public Company getCompany() {
return company;
}
public void setCompany(Company company) {
this.company = company;
}
}
I'd just like to add that #JoinColumn does not always have to be related to the physical information location as this answer suggests. You can combine #JoinColumn with #OneToMany even if the parent table has no table data pointing to the child table.
How to define unidirectional OneToMany relationship in JPA
Unidirectional OneToMany, No Inverse ManyToOne, No Join Table
It seems to only be available in JPA 2.x+ though. It's useful for situations where you want the child class to just contain the ID of the parent, not a full on reference.
Let me make it simple.
You can use #JoinColumn on either sides irrespective of mapping.
Let's divide this into three cases.
1) Uni-directional mapping from Branch to Company.
2) Bi-direction mapping from Company to Branch.
3) Only Uni-directional mapping from Company to Branch.
So any use-case will fall under this three categories. So let me explain how to use #JoinColumn and mappedBy.
1) Uni-directional mapping from Branch to Company.
Use JoinColumn in Branch table.
2) Bi-direction mapping from Company to Branch.
Use mappedBy in Company table as describe by #Mykhaylo Adamovych's answer.
3)Uni-directional mapping from Company to Branch.
Just use #JoinColumn in Company table.
#Entity
public class Company {
#OneToMany(cascade = CascadeType.ALL , fetch = FetchType.LAZY)
#JoinColumn(name="courseId")
private List<Branch> branches;
...
}
This says that in based on the foreign key "courseId" mapping in branches table, get me list of all branches. NOTE: you can't fetch company from branch in this case, only uni-directional mapping exist from company to branch.
JPA is a layered API, the different levels have their own annotations. The highest level is the (1) Entity level which describes persistent classes then you have the (2) relational database level which assume the entities are mapped to a relational database and (3) the java model.
Level 1 annotations: #Entity, #Id, #OneToOne, #OneToMany, #ManyToOne, #ManyToMany.
You can introduce persistency in your application using these high level annotations alone. But then you have to create your database according to the assumptions JPA makes. These annotations specify the entity/relationship model.
Level 2 annotations: #Table, #Column, #JoinColumn, ...
Influence the mapping from entities/properties to the relational database tables/columns if you are not satisfied with JPA's defaults or if you need to map to an existing database. These annotations can be seen as implementation annotations, they specify how the mapping should be done.
In my opinion it is best to stick as much as possible to the high level annotations and then introduce the lower level annotations as needed.
To answer the questions: the #OneToMany/mappedBy is nicest because it only uses the annotations from the entity domain. The #oneToMany/#JoinColumn is also fine but it uses an implementation annotation where this is not strictly necessary.
#Entity
public class Company {
#OneToMany(cascade = CascadeType.ALL, fetch = FetchType.LAZY)
#JoinColumn(name = "company_id_ref", referencedColumnName = "company_id")
private List<Branch> branches;
...
}
That Will give below Hibernate logs
Hibernate: select nextval ('hibernate_sequence')
Hibernate: select nextval ('hibernate_sequence')
Hibernate: insert into company (name, company_id) values (?, ?)
Hibernate: insert into branch (company_id_ref, name, id) values (?, ?, ?)
Hibernate: update branch set company_id_ref=? where id=?
And
#Entity
public class Company {
#OneToMany(cascade = CascadeType.ALL , fetch = FetchType.LAZY,
mappedBy = "company")
private List<Branch> branches;
...
}
That will give below Hibernate logs
Hibernate: select nextval ('hibernate_sequence')
Hibernate: select nextval ('hibernate_sequence')
Hibernate: insert into company (name, company_id) values (?, ?)
Hibernate: insert into branch (company_id_ref, name, id) values (?, ?, ?)
We can clearly see that #joinColumn will cause additional update queries.
so you do not need to set parent entity explicitly to child entity,
That we have to do while using mappedBy
to save children with a parent

JPA JoinColumn vs mappedBy

What is the difference between:
#Entity
public class Company {
#OneToMany(cascade = CascadeType.ALL , fetch = FetchType.LAZY)
#JoinColumn(name = "companyIdRef", referencedColumnName = "companyId")
private List<Branch> branches;
...
}
and
#Entity
public class Company {
#OneToMany(cascade = CascadeType.ALL , fetch = FetchType.LAZY,
mappedBy = "companyIdRef")
private List<Branch> branches;
...
}
The annotation #JoinColumn indicates that this entity is the owner of the relationship (that is: the corresponding table has a column with a foreign key to the referenced table), whereas the attribute mappedBy indicates that the entity in this side is the inverse of the relationship, and the owner resides in the "other" entity. This also means that you can access the other table from the class which you've annotated with "mappedBy" (fully bidirectional relationship).
In particular, for the code in the question the correct annotations would look like this:
#Entity
public class Company {
#OneToMany(mappedBy = "company",
orphanRemoval = true,
fetch = FetchType.LAZY,
cascade = CascadeType.ALL)
private List<Branch> branches;
}
#Entity
public class Branch {
#ManyToOne(fetch = FetchType.LAZY)
#JoinColumn(name = "companyId")
private Company company;
}
#JoinColumn could be used on both sides of the relationship. The question was about using #JoinColumn on the #OneToMany side (rare case). And the point here is in physical information duplication (column name) along with not optimized SQL query that will produce some additional UPDATE statements.
According to documentation:
Since many to one are (almost) always the owner side of a bidirectional relationship in the JPA spec, the one to many association is annotated by #OneToMany(mappedBy=...)
#Entity
public class Troop {
#OneToMany(mappedBy="troop")
public Set<Soldier> getSoldiers() {
...
}
#Entity
public class Soldier {
#ManyToOne
#JoinColumn(name="troop_fk")
public Troop getTroop() {
...
}
Troop has a bidirectional one to many relationship with Soldier through the troop property. You don't have to (must not) define any physical mapping in the mappedBy side.
To map a bidirectional one to many, with the one-to-many side as the owning side, you have to remove the mappedBy element and set the many to one #JoinColumn as insertable and updatable to false. This solution is not optimized and will produce some additional UPDATE statements.
#Entity
public class Troop {
#OneToMany
#JoinColumn(name="troop_fk") //we need to duplicate the physical information
public Set<Soldier> getSoldiers() {
...
}
#Entity
public class Soldier {
#ManyToOne
#JoinColumn(name="troop_fk", insertable=false, updatable=false)
public Troop getTroop() {
...
}
Unidirectional one-to-many association
If you use the #OneToMany annotation with #JoinColumn, then you have a unidirectional association, like the one between the parent Post entity and the child PostComment in the following diagram:
When using a unidirectional one-to-many association, only the parent side maps the association.
In this example, only the Post entity will define a #OneToMany association to the child PostComment entity:
#OneToMany(cascade = CascadeType.ALL, orphanRemoval = true)
#JoinColumn(name = "post_id")
private List<PostComment> comments = new ArrayList<>();
Bidirectional one-to-many association
If you use the #OneToMany with the mappedBy attribute set, you have a bidirectional association. In our case, both the Post entity has a collection of PostComment child entities, and the child PostComment entity has a reference back to the parent Post entity, as illustrated by the following diagram:
In the PostComment entity, the post entity property is mapped as follows:
#ManyToOne(fetch = FetchType.LAZY)
private Post post;
The reason we explicitly set the fetch attribute to FetchType.LAZY is because, by default, all #ManyToOne and #OneToOne associations are fetched eagerly, which can cause N+1 query issues.
In the Post entity, the comments association is mapped as follows:
#OneToMany(
mappedBy = "post",
cascade = CascadeType.ALL,
orphanRemoval = true
)
private List<PostComment> comments = new ArrayList<>();
The mappedBy attribute of the #OneToMany annotation references the post property in the child PostComment entity, and, this way, Hibernate knows that the bidirectional association is controlled by the #ManyToOne side, which is in charge of managing the Foreign Key column value this table relationship is based on.
For a bidirectional association, you also need to have two utility methods, like addChild and removeChild:
public void addComment(PostComment comment) {
comments.add(comment);
comment.setPost(this);
}
public void removeComment(PostComment comment) {
comments.remove(comment);
comment.setPost(null);
}
These two methods ensure that both sides of the bidirectional association are in sync. Without synchronizing both ends, Hibernate does not guarantee that association state changes will propagate to the database.
Which one to choose?
The unidirectional #OneToMany association does not perform very well, so you should avoid it.
You are better off using the bidirectional #OneToMany which is more efficient.
I disagree with the accepted answer here by Óscar López. That answer is inaccurate!
It is NOT #JoinColumn which indicates that this entity is the owner of the relationship. Instead, it is the #ManyToOne annotation which does this (in his example).
The relationship annotations such as #ManyToOne, #OneToMany and #ManyToMany tell JPA/Hibernate to create a mapping. By default, this is done through a seperate Join Table.
#JoinColumn
The purpose of #JoinColumn is to create a join column if one does
not already exist. If it does, then this annotation can be used to
name the join column.
MappedBy
The purpose of the MappedBy parameter is to instruct JPA: Do NOT
create another join table as the relationship is already being mapped
by the opposite entity of this relationship.
Remember: MappedBy is a property of the relationship annotations whose purpose is to generate a mechanism to relate two entities which by default they do by creating a join table. MappedBy halts that process in one direction.
The entity not using MappedBy is said to be the owner of the relationship because the mechanics of the mapping are dictated within its class through the use of one of the three mapping annotations against the foreign key field. This not only specifies the nature of the mapping but also instructs the creation of a join table. Furthermore, the option to suppress the join table also exists by applying #JoinColumn annotation over the foreign key which keeps it inside the table of the owner entity instead.
So in summary: #JoinColumn either creates a new join column or renames an existing one; whilst the MappedBy parameter works collaboratively with the relationship annotations of the other (child) class in order to create a mapping either through a join table or by creating a foreign key column in the associated table of the owner entity.
To illustrate how MapppedBy works, consider the code below. If MappedBy parameter were to be deleted, then Hibernate would actually create TWO join tables! Why? Because there is a symmetry in many-to-many relationships and Hibernate has no rationale for selecting one direction over the other.
We therefore use MappedBy to tell Hibernate, we have chosen the other entity to dictate the mapping of the relationship between the two entities.
#Entity
public class Driver {
#ManyToMany(mappedBy = "drivers")
private List<Cars> cars;
}
#Entity
public class Cars {
#ManyToMany
private List<Drivers> drivers;
}
Adding #JoinColumn(name = "driverID") in the owner class (see below), will prevent the creation of a join table and instead, create a driverID foreign key column in the Cars table to construct a mapping:
#Entity
public class Driver {
#ManyToMany(mappedBy = "drivers")
private List<Cars> cars;
}
#Entity
public class Cars {
#ManyToMany
#JoinColumn(name = "driverID")
private List<Drivers> drivers;
}
The annotation mappedBy ideally should always be used in the Parent side (Company class) of the bi directional relationship, in this case it should be in Company class pointing to the member variable 'company' of the Child class (Branch class)
The annotation #JoinColumn is used to specify a mapped column for joining an entity association, this annotation can be used in any class (Parent or Child) but it should ideally be used only in one side (either in parent class or in Child class not in both) here in this case i used it in the Child side (Branch class) of the bi directional relationship indicating the foreign key in the Branch class.
below is the working example :
parent class , Company
#Entity
public class Company {
private int companyId;
private String companyName;
private List<Branch> branches;
#Id
#GeneratedValue
#Column(name="COMPANY_ID")
public int getCompanyId() {
return companyId;
}
public void setCompanyId(int companyId) {
this.companyId = companyId;
}
#Column(name="COMPANY_NAME")
public String getCompanyName() {
return companyName;
}
public void setCompanyName(String companyName) {
this.companyName = companyName;
}
#OneToMany(fetch=FetchType.LAZY,cascade=CascadeType.ALL,mappedBy="company")
public List<Branch> getBranches() {
return branches;
}
public void setBranches(List<Branch> branches) {
this.branches = branches;
}
}
child class, Branch
#Entity
public class Branch {
private int branchId;
private String branchName;
private Company company;
#Id
#GeneratedValue
#Column(name="BRANCH_ID")
public int getBranchId() {
return branchId;
}
public void setBranchId(int branchId) {
this.branchId = branchId;
}
#Column(name="BRANCH_NAME")
public String getBranchName() {
return branchName;
}
public void setBranchName(String branchName) {
this.branchName = branchName;
}
#ManyToOne(fetch=FetchType.LAZY)
#JoinColumn(name="COMPANY_ID")
public Company getCompany() {
return company;
}
public void setCompany(Company company) {
this.company = company;
}
}
I'd just like to add that #JoinColumn does not always have to be related to the physical information location as this answer suggests. You can combine #JoinColumn with #OneToMany even if the parent table has no table data pointing to the child table.
How to define unidirectional OneToMany relationship in JPA
Unidirectional OneToMany, No Inverse ManyToOne, No Join Table
It seems to only be available in JPA 2.x+ though. It's useful for situations where you want the child class to just contain the ID of the parent, not a full on reference.
Let me make it simple.
You can use #JoinColumn on either sides irrespective of mapping.
Let's divide this into three cases.
1) Uni-directional mapping from Branch to Company.
2) Bi-direction mapping from Company to Branch.
3) Only Uni-directional mapping from Company to Branch.
So any use-case will fall under this three categories. So let me explain how to use #JoinColumn and mappedBy.
1) Uni-directional mapping from Branch to Company.
Use JoinColumn in Branch table.
2) Bi-direction mapping from Company to Branch.
Use mappedBy in Company table as describe by #Mykhaylo Adamovych's answer.
3)Uni-directional mapping from Company to Branch.
Just use #JoinColumn in Company table.
#Entity
public class Company {
#OneToMany(cascade = CascadeType.ALL , fetch = FetchType.LAZY)
#JoinColumn(name="courseId")
private List<Branch> branches;
...
}
This says that in based on the foreign key "courseId" mapping in branches table, get me list of all branches. NOTE: you can't fetch company from branch in this case, only uni-directional mapping exist from company to branch.
JPA is a layered API, the different levels have their own annotations. The highest level is the (1) Entity level which describes persistent classes then you have the (2) relational database level which assume the entities are mapped to a relational database and (3) the java model.
Level 1 annotations: #Entity, #Id, #OneToOne, #OneToMany, #ManyToOne, #ManyToMany.
You can introduce persistency in your application using these high level annotations alone. But then you have to create your database according to the assumptions JPA makes. These annotations specify the entity/relationship model.
Level 2 annotations: #Table, #Column, #JoinColumn, ...
Influence the mapping from entities/properties to the relational database tables/columns if you are not satisfied with JPA's defaults or if you need to map to an existing database. These annotations can be seen as implementation annotations, they specify how the mapping should be done.
In my opinion it is best to stick as much as possible to the high level annotations and then introduce the lower level annotations as needed.
To answer the questions: the #OneToMany/mappedBy is nicest because it only uses the annotations from the entity domain. The #oneToMany/#JoinColumn is also fine but it uses an implementation annotation where this is not strictly necessary.
#Entity
public class Company {
#OneToMany(cascade = CascadeType.ALL, fetch = FetchType.LAZY)
#JoinColumn(name = "company_id_ref", referencedColumnName = "company_id")
private List<Branch> branches;
...
}
That Will give below Hibernate logs
Hibernate: select nextval ('hibernate_sequence')
Hibernate: select nextval ('hibernate_sequence')
Hibernate: insert into company (name, company_id) values (?, ?)
Hibernate: insert into branch (company_id_ref, name, id) values (?, ?, ?)
Hibernate: update branch set company_id_ref=? where id=?
And
#Entity
public class Company {
#OneToMany(cascade = CascadeType.ALL , fetch = FetchType.LAZY,
mappedBy = "company")
private List<Branch> branches;
...
}
That will give below Hibernate logs
Hibernate: select nextval ('hibernate_sequence')
Hibernate: select nextval ('hibernate_sequence')
Hibernate: insert into company (name, company_id) values (?, ?)
Hibernate: insert into branch (company_id_ref, name, id) values (?, ?, ?)
We can clearly see that #joinColumn will cause additional update queries.
so you do not need to set parent entity explicitly to child entity,
That we have to do while using mappedBy
to save children with a parent

Delete elements from one-to-many relationships when removing them from a JPA Entity

I am using JPA (Hibernate) with the following entity class with one one-to-many relationship.
When I add elements to the list, and then persist the Organization entity, it adds the new elements to the proyects table, but when I remove elements from the list, nothing happens when persist (or merge), and I would like these elements to be removed from the database.
I tried also orphanRemoval=true in the OneToMany annotation, but it doesn't work.
#Entity
public class Organization {
#Id
#GeneratedValue
public long internalId;
#Basic
#Column(nullable = false, length = 100)
private String name;
#OneToMany(cascade = CascadeType.ALL, mappedBy = "organization")
private List<Proyect> proyects;
// Getters and Setters
}
You need to set Proyect.organization to null and update that entity, since this property is responsible for the database entry (Proyect is the owning side in this case ).

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