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The best way to generate a TSID entity identifier with JPA and Hibernate
Last modified:
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 will show you the best way to generate a TSID entity identifier with JPA and Hibernate.
Prior to continuing, if you are not familiar with the advantages of using compact Time-Sorted Identifiers, like TSID, check out this article first.
Fault Tolerance with Spring Data and YugabyteDB
Last modified:
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 achieve fault tolerance in your Spring Data application with the help of YugabyteDB.
As previously explained, YugabyteDB is an open-source distributed SQL database that combines the benefits of traditional relational databases with the advantages of globally-distributed auto-sharded database systems.
Scaling a Spring application with a YugabyteDB cluster
Last modified:
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 that scaling the data access layer of a Spring application can be done very easily with a YugabyteDB cluster.
As I explained in this article, YugabyteDB is an open-source distributed SQL database that offers all the benefits of a typical relational database (e.g., SQL, strong consistency, ACID transactions) with the advantages of a globally-distributed auto-sharded database system (e.g., NoSQL document databases).
The awesome BaseJpaRepository from Hypersistence Utils
Last modified:
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 you can use the BaseJpaRepository from the Hypersistence Utils OSS project as an alternative to the default Spring Data JpaRepository.
The reason why I’m not using the default JpaRepository on any of my Spring projects is that it provides some terrible defaults that can be very easily misused, like:
So, there are two ways you can fix the problems induced by the default JpaRepository:
- You can use the
HibernateRepositoryto deprecate the questionable methods that you shouldn’t have inherited in every single JPARepository. - You can use a different
BaseJpaRepository, as I explained in this article.
While you could create your own BaseJpaRepository, as I did for this article, it’s much easier to get it from a battle-tested OSS project that you might have already added to your dependency list.
And since Hypersistence Utils already provides the BaseJpaRepository abstraction and its implementation, this article is going to show you how to use it.
YugabyteDB Connection Pooling
Last modified:
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 the overhead of acquiring a new connection when using YugabyteDB and why connection pooling is mandatory for performance.
From Hibernate Types to Hypersistence Utils
Last modified:
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 explain why the Hibernate Types became Hypersistence Utils, and how you can migrate your old dependency to Hypersistence Utils 3.0.
Spring MDC Transaction Logging
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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 to configure a Spring application to use MDC (Mapped Diagnostic Context) for transaction logging.
This technique is going to help us inject the Persistence Context information as well as the associated database transaction identifier in all the log entries emitted from within a @Transactional service method.
Spring Data Hibernate Entity Listeners
Last modified:
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 configure Spring Data to register several Hibernate Entity Listeners that can intercept entity state modifications.
As I explained in this article, JPA also offers an event listening mechanism that you can configure via the @EntityListeners, @PostPersist or @PostUpdate, or PostRemove annotations. However, the JPA solution is way too limited as it doesn’t allow you to interfere with the EntityManager directly.
Therefore, I prefer using the Hibernate Entity Listeners mechanism, which you can easily integrate with Spring Data, as this article demonstrates.