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Hibernate MultipleBagFetchException: How to Resolve Eager Fetching Issues During SessionFactory Creation?

Mary-Kate Olsen
Release: 2024-12-12 13:46:10
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Hibernate MultipleBagFetchException: How to Resolve Eager Fetching Issues During SessionFactory Creation?

Hibernate: Fixing MultipleBagFetchException During SessionFactory Creation

When using Hibernate, you may encounter an exception during SessionFactory creation:

org.hibernate.loader.MultipleBagFetchException: cannot simultaneously fetch multiple bags
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This is typically caused when fetching multiple collections of entities eagerly (using FetchType.EAGER) within an entity. This can lead to performance issues, data inconsistency, and memory overhead.

Test Case:

Consider the following example:

@Entity
public class Parent {

    @Id
    @GeneratedValue(strategy = GenerationType.IDENTITY)
    private Long id;

    @OneToMany(mappedBy = "parent", fetch = FetchType.EAGER)
    private List<Child> children;

}

@Entity
public class Child {

    @Id
    @GeneratedValue(strategy = GenerationType.IDENTITY)
    private Long id;

    @ManyToOne
    private Parent parent;

}
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In this case, fetching Parent.children eagerly tries to simultaneously fetch multiple child collections, leading to the exception.

Potential Solutions:

1. Remove FetchType.EAGER:

Remove FetchType.EAGER from the Parent.children mapping. This will cause Hibernate to lazily fetch the children when needed, resolving the exception. However, it may affect performance.

2. Use LazyCollection:

Annotate the children field with @LazyCollection(LazyCollectionOption.FALSE) instead of using FetchType.EAGER. This instructs Hibernate to load the collection eagerly, but via a lazy initialization process, avoiding the exception.

3. Use a Set:

In most cases, it's preferable to use Set instead of List in the mapping. Sets are unordered and don't allow duplicates, eliminating the potential for Cartesian product issues.

Caution:

Using sets does not eliminate the underlying Cartesian product issue, as discussed by Vlad Mihalcea. However, it is generally a better approach and can improve performance.

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