Follow @vlad_mihalcea Imagine having a tool that can automatically detect if you are using JPA and Hibernate properly. Hypersistence Optimizer is that tool!

Introduction

StackOverflow and the Hibernate forum are gold mines. Yesterday, I bumped on the following question on our forum:

Usually, the rationale behind clustering objects together is to form a transactional boundary inside which business invariants are protected. I’ve noticed that with the OPTIMISTIC locking mode changes to a child entity will not cause a version increment on the root. This behavior makes it quite useless to cluster objects together in the first place. Is there a way to configure Hibernate so that any changes to an object cluster will cause the root object’s version to increment? I’ve read about OPTIMISTIC_FORCE_INCREMENT but I think this does increment the version regardless of if entities were changed or not. Since reads shouldn’t be conflicting with other reads in most scenarios, this doesn’t seem so useful either. I could always increment the version inside every mutating behavior of the root, but that is quite error-prone. I’ve also thought of perhaps using AOP to do this, but before looking into it, I wanted to know if there were any easy way to do that. If there were a way to check if an object graph is dirty, then it would make it quite easy to implement as well.

What a brilliant question! This post is going to demonstrate how easy you can implement such a requirement when using Hibernate.

Domain Model

First, let’s assume we have the following entities in our system:

The Post is the root entity, and it might have several PostComment entities. Every PostComment can have at most one PostCommentDetails . These entities are mapped as follows:

@Entity(name = "Post") @Table(name = "post") public class Post { @Id private Long id; private String title; @Version private int version; //Getters and setters omitted for brevity } @Entity(name = "PostComment") @Table(name = "post_comment") public class PostComment implements RootAware<Post> { @Id private Long id; @ManyToOne(fetch = FetchType.LAZY) private Post post; private String review; //Getters and setters omitted for brevity @Override public Post root() { return post; } } @Entity(name = "PostCommentDetails") @Table(name = "post_comment_details") public class PostCommentDetails implements RootAware<Post> { @Id private Long id; @OneToOne(fetch = FetchType.LAZY) @MapsId private PostComment comment; private int votes; //Getters and setters omitted for brevity @Override public Post root() { return comment.root(); } }

As you probably noticed, the @OneToOne association uses the awesome @MapsId mapping which I already explained in this post.

The PostComment and PostCommentDetails entities are implementing the RootAware interface which is very straightforward:

public interface RootAware<T> { T root(); }

By implementing the RootAware interface, we can resolve the root entity for any PostComment and PostCommentDetails entity.

Event Listeners

Contrary to popular belief, Hibernate is not just an ORM framework but a very customizable data access platform. For our example, we need to intercept any child entity modification and acquire an OPTIMISTIC_FORCE_INCREMENT event on the associated root entity.

To intercept the UPDATE and the DELETE SQL events, the following custom entity event listener is needed:

public class RootAwareUpdateAndDeleteEventListener implements FlushEntityEventListener { private static final Logger LOGGER = LoggerFactory.getLogger(RootAwareUpdateAndDeleteEventListener.class); public static final RootAwareUpdateAndDeleteEventListener INSTANCE = new RootAwareUpdateAndDeleteEventListener(); @Override public void onFlushEntity(FlushEntityEvent event) throws HibernateException { final EntityEntry entry = event.getEntityEntry(); final Object entity = event.getEntity(); final boolean mightBeDirty = entry.requiresDirtyCheck( entity ); if(mightBeDirty && entity instanceof RootAware) { RootAware rootAware = (RootAware) entity; if(updated(event)) { Object root = rootAware.root(); LOGGER.info("Incrementing {} entity version because a {} child entity has been updated", root, entity); incrementRootVersion(event, root); } else if (deleted(event)) { Object root = rootAware.root(); LOGGER.info("Incrementing {} entity version because a {} child entity has been deleted", root, entity); incrementRootVersion(event, root); } } } private void incrementRootVersion(FlushEntityEvent event, Object root) { event.getSession().lock(root, LockMode.OPTIMISTIC_FORCE_INCREMENT); } private boolean deleted(FlushEntityEvent event) { return event.getEntityEntry().getStatus() == Status.DELETED; } private boolean updated(FlushEntityEvent event) { final EntityEntry entry = event.getEntityEntry(); final Object entity = event.getEntity(); int[] dirtyProperties; EntityPersister persister = entry.getPersister(); final Object[] values = event.getPropertyValues(); SessionImplementor session = event.getSession(); if ( event.hasDatabaseSnapshot() ) { dirtyProperties = persister.findModified( event.getDatabaseSnapshot(), values, entity, session ); } else { dirtyProperties = persister.findDirty( values, entry.getLoadedState(), entity, session ); } return dirtyProperties != null; } }

This event listener is going to be executed whenever an entity is flushed by the currently running Persistence Context. Every entity modification is automatically detected by the dirty checking mechanism and marked as dirty.

If the entity is dirty and implements the RootAware interface, then we can just lock the parent entity with an OPTIMISTIC_FORCE_INCREMENT lock type. This lock type is going to increment the root entity version during the flush operation.

To intercept when new child entities are being persisted, the following event listener is needed:

public class RootAwareInsertEventListener implements PersistEventListener { private static final Logger LOGGER = LoggerFactory.getLogger(RootAwareInsertEventListener.class); public static final RootAwareInsertEventListener INSTANCE = new RootAwareInsertEventListener(); @Override public void onPersist(PersistEvent event) throws HibernateException { final Object entity = event.getObject(); if(entity instanceof RootAware) { RootAware rootAware = (RootAware) entity; Object root = rootAware.root(); event.getSession().lock(root, LockMode.OPTIMISTIC_FORCE_INCREMENT); LOGGER.info("Incrementing {} entity version because a {} child entity has been inserted", root, entity); } } @Override public void onPersist(PersistEvent event, Map createdAlready) throws HibernateException { onPersist(event); } }

To register these two event listeners, we need to provide a org.hibernate.integrator.spi.Integrator implementation:

public class RootAwareEventListenerIntegrator implements org.hibernate.integrator.spi.Integrator { public static final RootAwareEventListenerIntegrator INSTANCE = new RootAwareEventListenerIntegrator(); @Override public void integrate( Metadata metadata, SessionFactoryImplementor sessionFactory, SessionFactoryServiceRegistry serviceRegistry) { final EventListenerRegistry eventListenerRegistry = serviceRegistry.getService( EventListenerRegistry.class ); eventListenerRegistry.appendListeners( EventType.PERSIST, RootAwareInsertEventListener.INSTANCE ); eventListenerRegistry.appendListeners( EventType.FLUSH_ENTITY, RootAwareUpdateAndDeleteEventListener.INSTANCE ); } @Override public void disintegrate( SessionFactoryImplementor sessionFactory, SessionFactoryServiceRegistry serviceRegistry) { //Do nothing } }

When bootstrapping the JPA EntityManagerFactory , we can provide the RootAwareEventListenerIntegrator via the hibernate.integrator_provider configuration property:

configuration.put( "hibernate.integrator_provider", (IntegratorProvider) () -> Collections.singletonList( RootAwareEventListenerIntegrator.INSTANCE ) );

To see how you can set the hibernate.integrator_provider configuration property when using Spring with JPA or Spring with Hibernate, check out this article.

Testing time

Assuming we have the following entities within our system:

doInJPA(entityManager -> { Post post = new Post(); post.setId(1L); post.setTitle("High-Performance Java Persistence"); PostComment comment1 = new PostComment(); comment1.setId(1L); comment1.setReview("Good"); comment1.setPost(post); PostCommentDetails details1 = new PostCommentDetails(); details1.setComment(comment1); details1.setVotes(10); PostComment comment2 = new PostComment(); comment2.setId(2L); comment2.setReview("Excellent"); comment2.setPost(post); PostCommentDetails details2 = new PostCommentDetails(); details2.setComment(comment2); details2.setVotes(10); entityManager.persist(post); entityManager.persist(comment1); entityManager.persist(comment2); entityManager.persist(details1); entityManager.persist(details2); });

Updating child entities

When updating a PostCommentDetails entity:

PostCommentDetails postCommentDetails = entityManager.createQuery( "select pcd " + "from PostCommentDetails pcd " + "join fetch pcd.comment pc " + "join fetch pc.post p " + "where pcd.id = :id", PostCommentDetails.class) .setParameter("id", 2L) .getSingleResult(); postCommentDetails.setVotes(15);

Hibernate generates the following SQL statements:

SELECT pcd.comment_id AS comment_2_2_0_ , pc.id AS id1_1_1_ , p.id AS id1_0_2_ , pcd.votes AS votes1_2_0_ , pc.post_id AS post_id3_1_1_ , pc.review AS review2_1_1_ , p.title AS title2_0_2_ , p.version AS version3_0_2_ FROM post_comment_details pcd INNER JOIN post_comment pc ON pcd.comment_id = pc.id INNER JOIN post p ON pc.post_id = p.id WHERE pcd.comment_id = 2 UPDATE post_comment_details SET votes = 15 WHERE comment_id = 2 UPDATE post SET version = 1 where id = 1 AND version = 0

As you can see, not only the post_comment_details row gets updated but the post version is also incremented.

The same goes for the PostComment entity modifications:

PostComment postComment = entityManager.createQuery( "select pc " + "from PostComment pc " + "join fetch pc.post p " + "where pc.id = :id", PostComment.class) .setParameter("id", 2L) .getSingleResult(); postComment.setReview("Brilliant!");

Hibernate generating the following SQL statements:

SELECT pc.id AS id1_1_0_ , p.id AS id1_0_1_ , pc.post_id AS post_id3_1_0_ , pc.review AS review2_1_0_ , p.title AS title2_0_1_ , p.version AS version3_0_1_ FROM post_comment pc INNER JOIN post p ON pc.post_id = p.id WHERE pc.id = 2 UPDATE post_comment SET post_id = 1, review = 'Brilliant!' WHERE id = 2 UPDATE post SET version = 2 WHERE id = 1 AND version = 1

Adding new child entities

The parent Post entity version is incremented even when a new child entity is being persisted:

Post post = entityManager.getReference(Post.class, 1L); PostComment postComment = new PostComment(); postComment.setId(3L); postComment.setReview("Worth it!"); postComment.setPost(post); entityManager.persist(postComment);

Hibernate generates the following SQL statements:

SELECT p.id AS id1_0_0_ , p.title AS title2_0_0_ , p.version AS version3_0_0_ FROM post p WHERE p.id = 1 INSERT INTO post_comment (post_id, review, id) VALUES (1, 'Worth it!', 3) UPDATE post SET version = 3 WHERE id = 1 AND version = 2

Removing child entities

This solution works even when removing existing child entities:

PostComment postComment = entityManager.getReference(PostComment.class, 3l); entityManager.remove(postComment);

Hibernate being able to increment the parent entity version accordingly:

SELECT pc.id AS id1_1_0_ , pc.post_id AS post_id3_1_0_ , pc.review AS review2_1_0_ FROM post_comment pc WHERE pc.id = 3 SELECT p.id AS id1_0_0_ , p.title AS title2_0_0_ , p.version AS version3_0_0_ FROM post p WHERE p.id = 1 DELETE FROM post_comment WHERE id = 3 UPDATE post SET version = 4 WHERE id = 1 and version = 3

Cool, right?

Conclusion

Synchronizing a root entity version for every child entity modification is fairly easy with Hibernate. Hibernate supports many concurrency control mechanisms, as illustrated in this comprehensive tutorial.

Code available on GitHub.

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