How to cache non-existing entity fetch results 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
Sergey Chupov asked me a very good question on Twitter:
https://twitter.com/scadgek/status/946838214744203269
In this article, I’m going to show you how to cache null results when using JPA and Hibernate.
JDBC Driver Connection URL strings
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
Ever wanted to connect to a relational database using Java and didn’t know the URL connection string?
Then, this article is surely going to help you from now on.
Connect to a relational database using #Java with JDBC Driver Connection URL strings - @vlad_mihalcea https://t.co/vdCpoWvrIE pic.twitter.com/hy2OuQrYkC
— Java (@java) February 15, 2018
How to use the Hibernate Query Cache for DTO projections
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
On the Hibernate forum, I noticed the following question which is about using the Hibernate Query Cache for storing DTO projections, not entities.
While caching JPQL queries which select entities is rather typical, caching DTO projections is a lesser-known feature of the Hibernate second-level Query Cache.
A beginner’s guide to the high-performance-java-persistence GitHub repository
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
When I started writing High-Performance Java Persistence, I realized I needed a GitHub repository to host all the test cases I needed for the code snippets in my book, and that’s how the high-performance-java-persistence GitHub repository was born.
The high-performance-java-persistence GitHub repository is a collection of integration tests and utilities so that you can test JDBC, JPA, Hibernate and jOOQ features with the utmost ease.
Collection of integration tests and utilities so that you can test JDBC, JPA, Hibernate and jOOQ features - @vlad_mihalcea https://t.co/FOCcW98MAs pic.twitter.com/2Xily00OIu
— Java (@java) February 2, 2018
FlexyPool 2 has been released
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’m happy to announce you that FlexyPool 2 has just been released!
I started FlexyPool in 2014 because, at the time, I was working as a software architect on a large real-estate platform and we were about to launch the system into production. Because the system was split into multiple modules, we needed a way to figure out the right pool size for each module.
To make matters worse, the front-end nodes could be auto-scaled, so we needed monitoring and same fallback mechanisms in case our initial assumptions did not hold anymore.
And that’s how FlexyPool was born.
Hibernate HSQLDB ARRAY Type
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
As previously explained, although Hibernate does not support database ARRAY column types by default, you can easily implement a custom Hibernate ArrayType. While the previous solution worked on PostgreSQL, in this article, you are going to see that it is fairly easy to adapt it to HSQLDB.
How to implement a custom #Hibernate ArrayType. @vlad_mihalceahttps://t.co/HJGv5uz7zY pic.twitter.com/xTVPbING1C
— Java (@java) January 22, 2018
JPA Criteria API Bulk Update and Delete
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
JPA Criteria API bulk update delete is a great feature that allows you to build bulk update and delete queries using the JPA 2.1 Criteria API support via CriteriaUpdate and CriteriaDelete.
Because one of our community members asked me on the Hibernate forum about this topic, I decided it is a good opportunity to write about this lesser-known JPA Criteria API feature.
JPA Criteria API Bulk Update and Delete #java https://t.co/OYHHYgklPQ pic.twitter.com/3PCeoEsArz
— Java (@java) January 11, 2018
Upgrading to WordPress.com Business Plan
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 why I took the decision of giving my blog an upgrade and why I chose the WordPress.com Business Plan.
When I started this blog, I chose WordPress.com because, compared to Blogger or other blogging services, it seemed a much more flexible alternative, especially in the long-run. Most web designers I knew were very familiar with WordPress, not to mention that it powers 25% of all Internet websites.
Four years, I’ve been using the Free Plan which, other than a Domain Name, does not cost a dime. In the beginning, this was very convenient since I didn’t know what to expect from blogging. I was not sure if I was going to like it or stick to it.
How to map a JSON collection using 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
The open-source Hypersistence Utils project allows you to map Java objects or Jackson JsonNode as JPA or Hibernate entity properties, and, thanks to our awesome contributors, we have added support for storing type-safe JSON collections.
In this article, you are going to see how to achieve this goal.
How to bootstrap JPA programmatically without the persistence.xml configuration file
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 Twitter followers asked me if there is any documentation for bootstrapping JPA programmatically so that we can replace the persistence.xml configuration file with a Java configuration:
Hey @vlad_mihalcea is there a way in which persistence.xml file can be replaced with Java config class? Any documentation related to this would be really helpful.
— Shyam Baitmangalkar 🇮🇳 (@SBaitmangalkar) November 28, 2017
Previously, I wrote an article about bootstrapping Hibernate without the persistence.xml, but that solution was based on the Hibernate-specific EntityManagerFactoryBuilderImpl.
In this article, I’m going to give you a solution that works with any JPA provider since it’s based on standard Java Persistence API.
