Seize the deal!
01
Days
:
20
Hours
:
19
Minutes
:
09
Seconds
You missed out!
High-Performance
Video Course Bundle
Save $199.6
High-Performance Spring Persistence Video Course
Save $79.6
A beginner’s guide to the high-performance-java-persistence GitHub repository
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
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
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
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
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
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
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
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
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 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
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
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
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
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.
How to order entity subclasses by their class type using 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, we are going to see how to order entity subclasses when executing a JPA query with Hibernate.
Two years as a Hibernate Developer Advocate
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
Exactly two years ago today, I started working as a Developer Advocate for the Hibernate team at Red Hat.
I wrote a report a year ago to summarize my accomplishments for the Hibernate project, so it’s time to see what’s been done since last year.
How to become a Java Champion
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!
1515 days
That’s how much time it took me from the moment I started this blog until I became a Java Champion.
Please welcome the new Java Champions. @antoine_sd @javajudd @glaforge @kenkousen @kito99 @vlad_mihalcea@leomrlima @net0pyr @shelajev @rgransberger @rmehmandarov @Sander_Mak @SeanMiPhillips Well done to all of you @OracleDevs @java #odevcommunity pic.twitter.com/X9yeek641s
— Java Champions (@Java_Champions) November 22, 2017
In this article, I’m going to show you what I did so that, after 1515 days, I became the first Java Champion from Romania.