Spring Data Query By Example
Imagine having a tool that can automatically detect JPA and Hibernate performance issues. Wouldn’t that be just awesome?
Well, Hypersistence Optimizer is that tool! And it works with Spring Boot, Spring Framework, Jakarta EE, Java EE, Quarkus, or Play Framework.
So, enjoy spending your time on the things you love rather than fixing performance issues in your production system on a Saturday night!
Introduction
In this article, we are going to see how the Spring Data JPA Query By Example (QBE) feature works, when you should use it, and what limitations it has.
While Spring Data JPA already provides a wide range of options to query data:
- query methods or the
@Queryannotation - Spring Data JPA Specification
- custom Repository query methods
The Spring Data Query By Example feature is meant to offer a way to decouple the data filtering logic from the query processing engine so that you can allow the data access layer clients to define the filtering criteria using a generic API that doesn’t depend on the JPA Criteria API.
How to fetch multiple to-many relationships with jOOQ MULTISET
Imagine having a tool that can automatically detect JPA and Hibernate performance issues. Wouldn’t that be just awesome?
Well, Hypersistence Optimizer is that tool! And it works with Spring Boot, Spring Framework, Jakarta EE, Java EE, Quarkus, or Play Framework.
So, enjoy spending your time on the things you love rather than fixing performance issues in your production system on a Saturday night!
Introduction
In this article, we are going to see how we can fetch multiple to-many relationships with jOOQ MULTISET so that we avoid bumping into an unintentional Cartesian Product.
The approach taken by jOOQ is truly revolutionary since it offers a solution that allows you to fetch multiple to-many relationships using a single type-safe query.
The best way to use one-to-one table relationships
Imagine having a tool that can automatically detect JPA and Hibernate performance issues. Wouldn’t that be just awesome?
Well, Hypersistence Optimizer is that tool! And it works with Spring Boot, Spring Framework, Jakarta EE, Java EE, Quarkus, or Play Framework.
So, enjoy spending your time on the things you love rather than fixing performance issues in your production system on a Saturday night!
Introduction
In this article, we are going to see what is the best way to use one-to-one table relationships.
I decided to write this article after reading this Tweet:
The goal of one-to-one table relationships is to separate data that doesn't change in sync. The separation provides better concurrency (less locking and more optimistic locking versions, better cache hits, and better data integrity as if the child association is optional, you…
— Vlad Mihalcea (@vlad_mihalcea) June 12, 2023
The best way to validate the DDL schema with Spring and Hibernate
Imagine having a tool that can automatically detect JPA and Hibernate performance issues. Wouldn’t that be just awesome?
Well, Hypersistence Optimizer is that tool! And it works with Spring Boot, Spring Framework, Jakarta EE, Java EE, Quarkus, or Play Framework.
So, enjoy spending your time on the things you love rather than fixing performance issues in your production system on a Saturday night!
Introduction
In this article, we are going to see what is the best way to validate the DDL schema and the JPA entity mappings when using Spring and Hibernate.
I decided to write this article after reading this Tweet:
Hi Vlad, shouldn't we set the value of spring.jpa.hibernate.ddl-auto=validate so that we are checking that flyway generated tables and our entities are in sync??
— Raja Dilip Kolli (@rajadilipkolli) June 5, 2023
Cache synchronization using jOOQ and PostgreSQL functions
Imagine having a tool that can automatically detect JPA and Hibernate performance issues. Wouldn’t that be just awesome?
Well, Hypersistence Optimizer is that tool! And it works with Spring Boot, Spring Framework, Jakarta EE, Java EE, Quarkus, or Play Framework.
So, enjoy spending your time on the things you love rather than fixing performance issues in your production system on a Saturday night!
Introduction
In this article, we are going to see how we can achieve cache synchronization with the help of jOOQ and PostgreSQL functions.
By using Change Data Capture, we can track how table records change over time and synchronize the application-level cache entries that were built from the table records in question.
SQL Operation Order
Imagine having a tool that can automatically detect JPA and Hibernate performance issues. Wouldn’t that be just awesome?
Well, Hypersistence Optimizer is that tool! And it works with Spring Boot, Spring Framework, Jakarta EE, Java EE, Quarkus, or Play Framework.
So, enjoy spending your time on the things you love rather than fixing performance issues in your production system on a Saturday night!
Introduction
In this article, we are going to see what is the standard SQL operation order.
Once you understand the order in which SQL operations are executed, then it will be clear why the Oracle legacy pagination query required a Derived Table in order to make sure that the ROWNUM pseudocolumn is computed after executing the ORDER BY clause.
Hibernate default entity sequence
Imagine having a tool that can automatically detect JPA and Hibernate performance issues. Wouldn’t that be just awesome?
Well, Hypersistence Optimizer is that tool! And it works with Spring Boot, Spring Framework, Jakarta EE, Java EE, Quarkus, or Play Framework.
So, enjoy spending your time on the things you love rather than fixing performance issues in your production system on a Saturday night!
Introduction
In this article, we are going to see how the default entity sequence changes when migrating from Hibernate 5 to Hibernate 6.
