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.
Spring Transaction and Connection Management
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 Spring handles transaction and database connection management.
I decided to write this article because this topic has been requested recurringly by the students taking my High-Performance Java Persistence training.
The best way to call SQL Server stored procedures with jOOQ
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 call SQL Server stored procedures with jOOQ.
I decided to write this article because stored procedures and database functions are extremely useful for data-intensive applications, and sometimes, they are the only solution to process data efficiently.
While SQL remains the de-facto way to query data, when it comes to processing records, stored procedures allow us to control the transaction boundaries so that we can release the locks acquired for the modified records sooner and make sure that the Undo Log doesn’t grow too large.
PostgreSQL Auto Explain
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 PostgreSQL Auto Explain feature works and why you should use it to gather the actual execution plan for SQL statements that execute on a production system.
The best way to use the Spring Data JPA Specification
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 the Spring Data JPA Specification when combining multiple predicates with the result set ordering logic.
While you can also use query methods or the @Query annotation to define your Spring Data queries, the Spring Data JPA Specification allows you to compose dynamically various filtering criteria, which may be very convenient when you’d, otherwise, end up with lots of query method permutations.
The best way to use JOIN FETCH and Pagination with Spring
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 use the JOIN FETCH clause when fetching a child collection eagerly while also limiting the number of parent records using pagination in a Spring Data JPA application.
I decided to write this article because the most common solution used in many projects turns out to be extremely inefficient.
