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
Hibernate StatelessSession JDBC Batching
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 use the Hibernate StatelessSession in order to enable JDBC Batching for INSERT, UPDATE, and DELETE statements.
While the StatelessSession has been available for more than 20 years, until Hibernate 6, its usefulness was rather limited since it lacked support for batching, as well as other cool features, such as UPSERT.
Fetching recursive associations 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, we are going to see how to fetch recursive associations when using JPA and Hibernate.
Recursive table relationships are built using self-referencing Foreign Key columns so that a record in a table can reference another record in the very same table, therefore allowing us to represent hierarchical structures using the relational model.
How to use the Java CountDownLatch
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 use the Java CountDownLatch to write test cases that take concurrency into consideration.
The Java CountDownLatch has been available since version 1.5, and it’s part of the java.util.concurrent package that contains many other threading-related utilities.
The best way to test the data access layer
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 what is the best way to test the data access layer when using a relational database system.
First, we will talk about the pros and cons of unit testing. While unit testing is fine for validating independent logic units, when it comes to testing the data access layer, integration testing is more useful.
Next, we will discuss about the difference between integration testing and system integration testing and see the benefits of using a data platform like Aiven. With Aiven, not only can we replicate the actual behavior of our data access layer in a production-like environment, but we can also simplify our architecture since we would be using the same database platform for both system integration testing and the production system.
Hibernate StatelessSession Upsert
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 the Hibernate StatelessSession Upsert method works.
As I explained in this article, the UPSERT operation allows you to INSERT a record if there is no such record matching the filtering criteria or to UPDATE it in case the record exists.
While many relational database systems offer the standard MERGE command to execute the UPSERT command, the syntax may differ slightly from one database to the other. Therefore, it’s great that Hibernate provides a portable way to achieve this goal.
The best way to map multiple entities on the same table
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 what is the best way to map multiple entities on the same table.
There are several advantages to mapping multiple entities on the same database table:
- To avoid loading large columns (e.g., JSON)
- To avoid N+1 query issues for bidirectional
@OneToOneassociations
Before we start investigating the best way to map multiple entities on the same table, if you wonder why you even need to use one-to-one table relationships, then check out this article first.
Spring Load-Time Weaving
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 Spring load-time weaving works so that you can apply the Hibernate bytecode enhancement mechanism at runtime.
Traditionally, the bytecode enhancement mechanism is applied when the project is built using a Maven or Gradle plugin. For more details about the build-time approach, check out this article.