JDBC Profiling with VisualVM
Introduction In this article, we are going to see how we can do JDBC profiling using the VisualVM tool to find slow-running SQL queries or discover N+1 query issues.
9 High-Performance Tips when using Oracle with JPA and Hibernate
Introduction In this article, I’m going to show you 9 tips that will help you speed up your Oracle database application when using JPA and Hibernate. To get the most out of the relational database in use, you need to make sure the data access layer resonates with the underlying database system, so, in this article, I’m going to present you several tips that can boost up the performance of your Oracle, JPA and Hibernate applications.
MySQL JDBC Statement Caching
Introduction In this article, we are going to see how we can enable the MySQL JDBC Driver Statement Caching mechanism, which, unfortunately, is not enabled by default. No matter what data access framework you are using, you still need to configure the JDBC Driver if you want to get the most out of the MySQL database engine.
9 High-Performance Tips when using PostgreSQL with JPA and Hibernate
Introduction To get the most out of the relational database in use, you need to make sure the data access layer resonates with the underlying database system. In this article, we are going to see what you can do to boost up performance when using PostgreSQL with JPA and Hibernate.
How to use database-specific or Hibernate-specific features without sacrificing portability
Introduction Like other non-functional requirements, portability is a feature. While portability is very important when working on an open-source framework that will be used in a large number of setups, for end systems, portability might not be needed at all. This article aims to explain that you don’t have to avoid database or framework-specific features if you want to achieve portability.
9 High-Performance Tips when using MySQL with JPA and Hibernate
Introduction Although there is an SQL Standard, every relational database is ultimately unique, and you need to adjust your data access layer so that you get the most out of the relational database in use. In this article, we are going to see what you can do to boost up performance when using MySQL with JPA and Hibernate.
