How to increment the parent entity version whenever a child entity gets modified with JPA and Hibernate
Imagine having a tool that can automatically detect JPA and Hibernate performance issues. Wouldn’t that be just awesome?
Well, Hypersistence Optimizer is that tool! And it works with Spring Boot, Spring Framework, Jakarta EE, Java EE, Quarkus, or Play Framework.
So, enjoy spending your time on the things you love rather than fixing performance issues in your production system on a Saturday night!
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.
High-Performance Java Persistence – Part Three
Imagine having a tool that can automatically detect JPA and Hibernate performance issues. Wouldn’t that be just awesome?
Well, Hypersistence Optimizer is that tool! And it works with Spring Boot, Spring Framework, Jakarta EE, Java EE, Quarkus, or Play Framework.
So, enjoy spending your time on the things you love rather than fixing performance issues in your production system on a Saturday night!
100% done
The third part of High-Performance Java Persistence book is out. It’s been one year and two months since I started writing this book, and nine months since I published the first part.
JPA providers market share in 2016
Imagine having a tool that can automatically detect JPA and Hibernate performance issues. Wouldn’t that be just awesome?
Well, Hypersistence Optimizer is that tool! And it works with Spring Boot, Spring Framework, Jakarta EE, Java EE, Quarkus, or Play Framework.
So, enjoy spending your time on the things you love rather than fixing performance issues in your production system on a Saturday night!
The survey
Java Persistence API is a standard. Hence, there are multiple options to choose from:
- Hibernate
- EclipseLink
- OpenJPA
Some applications choose not to use an ORM framework at all. For this reason, I decided to run a one-day survey on Twitter to get a glimpse on the JPA providers market share.
What #JPA provider are you using in production? #java
— Vlad Mihalcea (@vlad_mihalcea) August 13, 2016
Fluent API entity building with JPA and Hibernate
Imagine having a tool that can automatically detect JPA and Hibernate performance issues. Wouldn’t that be just awesome?
Well, Hypersistence Optimizer is that tool! And it works with Spring Boot, Spring Framework, Jakarta EE, Java EE, Quarkus, or Play Framework.
So, enjoy spending your time on the things you love rather than fixing performance issues in your production system on a Saturday night!
Introduction
In this article, we are going to see how we can build an entity in a fluent style API fashion when using JPA and Hibernate.
The JHipster development team wants to expose a Fluent Interface entity building methods for their JPA entities, so they asked me if this is going to work with JPA and Hibernate. While JPA is rather strict about entity getters and setter, Hibernate is more lenient in this regard.
I would be very happy to have your insight @vlad_mihalcea on https://t.co/2c9tylORh2
— JHipster (@jhipster) August 3, 2016
The best way to map a Composite Key with JPA and Hibernate
Imagine having a tool that can automatically detect JPA and Hibernate performance issues. Wouldn’t that be just awesome?
Well, Hypersistence Optimizer is that tool! And it works with Spring Boot, Spring Framework, Jakarta EE, Java EE, Quarkus, or Play Framework.
So, enjoy spending your time on the things you love rather than fixing performance issues in your production system on a Saturday night!
Introduction
One of my readers asked me to help him map a Composite Key using JPA and Hibernate. Because this is a recurrent question, I decided to write a blog post in which I describe this mapping in more detail.
The best way to map a @OneToOne relationship with JPA and Hibernate
Imagine having a tool that can automatically detect JPA and Hibernate performance issues. Wouldn’t that be just awesome?
Well, Hypersistence Optimizer is that tool! And it works with Spring Boot, Spring Framework, Jakarta EE, Java EE, Quarkus, or Play Framework.
So, enjoy spending your time on the things you love rather than fixing performance issues in your production system on a Saturday night!
Introduction
In this article, we are going to learn the best way to map a OneToOne association with JPA and Hibernate.
While there are many ways you can map a one-to-one relationship with Hibernate, I’m going to demonstrate which mapping is the most efficient one from a database perspective.
How do persist and merge work in JPA
Imagine having a tool that can automatically detect JPA and Hibernate performance issues. Wouldn’t that be just awesome?
Well, Hypersistence Optimizer is that tool! And it works with Spring Boot, Spring Framework, Jakarta EE, Java EE, Quarkus, or Play Framework.
So, enjoy spending your time on the things you love rather than fixing performance issues in your production system on a Saturday night!
Introduction
In this article, I’m going to explain how the persist and merge entity operations work when using JPA and Hibernate.
When using JPA, entity state transitions are translated automatically to SQL statements. This post is going to explain when to use persist and when to use merge.
The best way to detect database connection leaks
Imagine having a tool that can automatically detect JPA and Hibernate performance issues. Wouldn’t that be just awesome?
Well, Hypersistence Optimizer is that tool! And it works with Spring Boot, Spring Framework, Jakarta EE, Java EE, Quarkus, or Play Framework.
So, enjoy spending your time on the things you love rather than fixing performance issues in your production system on a Saturday night!
Introduction
Database connections are not free, and that’s the reason for using a connection pooling solution in the first place. However, the connection pool alone does not solve every issue associated to managing database connections. The application developer must make sure that every Connection is closed when no longer needed. Behind the scenes, the connection pool gives a logical transaction which, when being closed, it returns back to the pool so that it can be further reused by other concurrent transactions.
A connection leak happens when a connection is acquired without ever being closed.
How to lazy load entity properties with Hibernate
Imagine having a tool that can automatically detect JPA and Hibernate performance issues. Wouldn’t that be just awesome?
Well, Hypersistence Optimizer is that tool! And it works with Spring Boot, Spring Framework, Jakarta EE, Java EE, Quarkus, or Play Framework.
So, enjoy spending your time on the things you love rather than fixing performance issues in your production system on a Saturday night!
Introduction
One of my readers bumped into the JSON mapping post and asked me if we can fetch the JSON properties lazily. This post demonstrates how easily this can be done when using Hibernate as a JPA provider.
As I previously explained, EAGER fetching is a code smell and loading associations eagerly is very detriment to application performance. However, it’s not just associations that we must be careful about. Basic entity properties may also cause performance issues as well. In this post, I’m going to show you how you can fetch entity properties lazily.
