How to map a PostgreSQL HStore entity property 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
The Hypersistence Utils open-source project allows you to map a great variety of database types that are not supported natively by Hibernate ORM (e.g. JSON, ARRAY, YearMonth, Month, INET addresses).
In this article, we are going to see how you can map a PostgreSQL HStore type, which allows you to store key/value pairs, to a Java Map entity property when using JPA and Hibernate.
How to map a PostgreSQL HStore entity property with JPA and #Hibernate . @vlad_mihalcea https://t.co/360MtHSYmw pic.twitter.com/KcXP3PD6lO
— Java (@java) January 5, 2019
How to map a PostgreSQL Enum ARRAY to a JPA entity property using 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 Hypersistence Utils OSS project allows you to map JSON, ARRAY, YearMonth, Month or database-specific columns (e.g., INET addresses).
In this article, we are going to see how you can map a PostgreSQL Enum ARRAY type to a Java array entity property when using JPA and Hibernate.
How to bind custom Hibernate parameter types to JPA queries
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 bind a custom Hibernate parameter type to a JPA query.
I decided to write this article after one of my hibernate-types framework users created this very interesting issue on GitHub.
The best way to initialize LAZY entity and collection proxies 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 the best way to initialize LAZY proxies and collections when using JPA and Hibernate.
I decided to write this article because there are way too many resources available on the Internet that mislead the reader into using awkward and inefficient practices.
The best way to initialize LAZY proxies and collections when using JPA and #Hibernate. @vlad_mihalcea https://t.co/kWpi3etBAZ pic.twitter.com/sVqeMgFSLu
— Java (@java) December 6, 2018
Three years as a Hibernate Developer Advocate
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
Three years ago, I started working as a Developer Advocate for the Hibernate team at Red Hat.
Each year, I write a new report to summarize the accomplishments for the Hibernate project and its community. If you’re curious about the previous year reports, check out the
How to execute SQL functions with multiple parameters in a JPQL query with 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 you can execute SQL functions with multiple parameters in JPQL queries with Hibernate. I recently stumbled on this requirement while answering this StackOverflow question, which is a never-ending source of inspiration for articles on my blog.
The best way to use the JPQL DISTINCT keyword 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 how the JPQL DISTINCT keyword behaves depending on the underlying entity query type.
How to map camelCase properties to snake_case column names with 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, you are going to learn how to map cameCase entity properties (e.g., phoneNumber) to snake_case column names (e.g., phone_number) using a Hibernate naming strategy.
While you could achieve the same goal with the name attribute of JPA @Column annotation, it’s much more convenient to use a custom Hibernate strategy to apply this naming convention consistently.
How to optimize JPQL and Criteria API query plans with Hibernate Statistics
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
Every entity query, be it JPQL or Criteria API, needs to be parsed and compiled to an AST (Abstract Syntax Tree) in order to generate the associated SQL query. The entity query compilation takes time, as explained in this article so Hibernate provides a QueryPlanCache to store already-compiled plans.
Starting with Hibernate 5.4, the Hibernate Statistics mechanism allows you to monitor the Query Plan Cache and this article will show you how to take advantage of this feature to speed up IN query performance.
For an introduction about the Hibernate Statistics mechanism, check out this article.
How to optimize JPQL and Criteria API query plans with #Hibernate Statistics @vlad_mihalcea https://t.co/bHfkKKCGOn pic.twitter.com/1k2PUeVpb7
— Java (@java) November 9, 2018
