Vlad Mihalcea

The best way to handle the LazyInitializationException

Are you struggling with performance issues in your Spring, Jakarta EE, or Java EE application?

Imagine having a tool that could automatically detect performance issues in your JPA and Hibernate data access layer long before pushing a problematic change into production!

With the widespread adoption of AI agents generating code in a heartbeat, having such a tool that can watch your back and prevent performance issues during development, long before they affect production systems, can save your company a lot of money and make you a hero!

Hypersistence Optimizer is that tool, and it works with Spring Boot, Spring Framework, Jakarta EE, Java EE, Quarkus, Micronaut, or Play Framework.

So, rather than allowing performance issues to annoy your customers, you are better off preventing those issues using Hypersistence Optimizer and enjoying spending your time on the things that you love!

Introduction

The LazyInitializationException is undoubtedly one of the most common exceptions you can get when using Hibernate. This article is going to summarize the best and the worst ways of handling lazy associations.

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The hibernate.enable_lazy_load_no_trans Anti-Pattern

Are you struggling with performance issues in your Spring, Jakarta EE, or Java EE application?

Imagine having a tool that could automatically detect performance issues in your JPA and Hibernate data access layer long before pushing a problematic change into production!

With the widespread adoption of AI agents generating code in a heartbeat, having such a tool that can watch your back and prevent performance issues during development, long before they affect production systems, can save your company a lot of money and make you a hero!

Hypersistence Optimizer is that tool, and it works with Spring Boot, Spring Framework, Jakarta EE, Java EE, Quarkus, Micronaut, or Play Framework.

So, rather than allowing performance issues to annoy your customers, you are better off preventing those issues using Hypersistence Optimizer and enjoying spending your time on the things that you love!

Introduction

I’ve already written about the Open Session in View Anti-Pattern, so now it’s time to add another Hibernate fetching bad practices. Although the hibernate.enable_lazy_load_no_trans configuration property is a lesser-known setting, it’s good to know why you shouldn’t employ it in your data access layer code.

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How to increment the parent entity version whenever a child entity gets modified with JPA and Hibernate

Are you struggling with performance issues in your Spring, Jakarta EE, or Java EE application?

Imagine having a tool that could automatically detect performance issues in your JPA and Hibernate data access layer long before pushing a problematic change into production!

With the widespread adoption of AI agents generating code in a heartbeat, having such a tool that can watch your back and prevent performance issues during development, long before they affect production systems, can save your company a lot of money and make you a hero!

Hypersistence Optimizer is that tool, and it works with Spring Boot, Spring Framework, Jakarta EE, Java EE, Quarkus, Micronaut, or Play Framework.

So, rather than allowing performance issues to annoy your customers, you are better off preventing those issues using Hypersistence Optimizer and enjoying spending your time on the things that you love!

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.

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High-Performance Java Persistence – Part Three

Are you struggling with performance issues in your Spring, Jakarta EE, or Java EE application?

Imagine having a tool that could automatically detect performance issues in your JPA and Hibernate data access layer long before pushing a problematic change into production!

With the widespread adoption of AI agents generating code in a heartbeat, having such a tool that can watch your back and prevent performance issues during development, long before they affect production systems, can save your company a lot of money and make you a hero!

Hypersistence Optimizer is that tool, and it works with Spring Boot, Spring Framework, Jakarta EE, Java EE, Quarkus, Micronaut, or Play Framework.

So, rather than allowing performance issues to annoy your customers, you are better off preventing those issues using Hypersistence Optimizer and enjoying spending your time on the things that you love!

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.

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JPA providers market share in 2016

Are you struggling with performance issues in your Spring, Jakarta EE, or Java EE application?

Imagine having a tool that could automatically detect performance issues in your JPA and Hibernate data access layer long before pushing a problematic change into production!

With the widespread adoption of AI agents generating code in a heartbeat, having such a tool that can watch your back and prevent performance issues during development, long before they affect production systems, can save your company a lot of money and make you a hero!

Hypersistence Optimizer is that tool, and it works with Spring Boot, Spring Framework, Jakarta EE, Java EE, Quarkus, Micronaut, or Play Framework.

So, rather than allowing performance issues to annoy your customers, you are better off preventing those issues using Hypersistence Optimizer and enjoying spending your time on the things that you love!

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.

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Fluent API entity building with JPA and Hibernate

Are you struggling with performance issues in your Spring, Jakarta EE, or Java EE application?

Imagine having a tool that could automatically detect performance issues in your JPA and Hibernate data access layer long before pushing a problematic change into production!

With the widespread adoption of AI agents generating code in a heartbeat, having such a tool that can watch your back and prevent performance issues during development, long before they affect production systems, can save your company a lot of money and make you a hero!

Hypersistence Optimizer is that tool, and it works with Spring Boot, Spring Framework, Jakarta EE, Java EE, Quarkus, Micronaut, or Play Framework.

So, rather than allowing performance issues to annoy your customers, you are better off preventing those issues using Hypersistence Optimizer and enjoying spending your time on the things that you love!

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.

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The best way to map a Composite Key with JPA and Hibernate

Are you struggling with performance issues in your Spring, Jakarta EE, or Java EE application?

Imagine having a tool that could automatically detect performance issues in your JPA and Hibernate data access layer long before pushing a problematic change into production!

With the widespread adoption of AI agents generating code in a heartbeat, having such a tool that can watch your back and prevent performance issues during development, long before they affect production systems, can save your company a lot of money and make you a hero!

Hypersistence Optimizer is that tool, and it works with Spring Boot, Spring Framework, Jakarta EE, Java EE, Quarkus, Micronaut, or Play Framework.

So, rather than allowing performance issues to annoy your customers, you are better off preventing those issues using Hypersistence Optimizer and enjoying spending your time on the things that you love!

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.

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The best way to map a @OneToOne relationship with JPA and Hibernate

Are you struggling with performance issues in your Spring, Jakarta EE, or Java EE application?

Imagine having a tool that could automatically detect performance issues in your JPA and Hibernate data access layer long before pushing a problematic change into production!

With the widespread adoption of AI agents generating code in a heartbeat, having such a tool that can watch your back and prevent performance issues during development, long before they affect production systems, can save your company a lot of money and make you a hero!

Hypersistence Optimizer is that tool, and it works with Spring Boot, Spring Framework, Jakarta EE, Java EE, Quarkus, Micronaut, or Play Framework.

So, rather than allowing performance issues to annoy your customers, you are better off preventing those issues using Hypersistence Optimizer and enjoying spending your time on the things that you love!

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.

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How do persist and merge work in JPA

Are you struggling with performance issues in your Spring, Jakarta EE, or Java EE application?

Imagine having a tool that could automatically detect performance issues in your JPA and Hibernate data access layer long before pushing a problematic change into production!

With the widespread adoption of AI agents generating code in a heartbeat, having such a tool that can watch your back and prevent performance issues during development, long before they affect production systems, can save your company a lot of money and make you a hero!

Hypersistence Optimizer is that tool, and it works with Spring Boot, Spring Framework, Jakarta EE, Java EE, Quarkus, Micronaut, or Play Framework.

So, rather than allowing performance issues to annoy your customers, you are better off preventing those issues using Hypersistence Optimizer and enjoying spending your time on the things that you love!

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.

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The best way to detect database connection leaks

Are you struggling with performance issues in your Spring, Jakarta EE, or Java EE application?

Imagine having a tool that could automatically detect performance issues in your JPA and Hibernate data access layer long before pushing a problematic change into production!

With the widespread adoption of AI agents generating code in a heartbeat, having such a tool that can watch your back and prevent performance issues during development, long before they affect production systems, can save your company a lot of money and make you a hero!

Hypersistence Optimizer is that tool, and it works with Spring Boot, Spring Framework, Jakarta EE, Java EE, Quarkus, Micronaut, or Play Framework.

So, rather than allowing performance issues to annoy your customers, you are better off preventing those issues using Hypersistence Optimizer and enjoying spending your time on the things that you love!

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.

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