High-Performance Java Persistence – Chapter 10 – Mapping Types and Identifiers
Part 2, Chapter 10 Every new chapter of my book is released right after it’s being completed, so the reader doesn’t have to wait for the whole part to be finished to get access to new material. Table of content This chapter explains the core mapping elements used by Hibernate and details the basic type and the identifier generators.
I just joined the Hibernate team at RedHat
Hibernate Developer Advocate Today is my first day working as a Developer Advocate for the Hibernate ORM project at RedHat. My job consists in helping the community getting the most out of Hibernate. This is really exciting since I can continue the work that I started when I came out with this blog. If we take the 2015 Java Ecosystem Report issued by Dzone, Hibernate has a 63.9% market share. There are millions of Java developers depending on a relatively small team for delivering their favorite JPA implementation. So, this job carries… Read More
How to bootstrap Hibernate without the persistence.xml file
Why? JPA relies heavily on the persistence.xml configuration file, and the standard API to bootstrap a JPA provider programmatically requires too much boilerplate code. While in a typical enterprise application, providing a persistence.xml file is not really an issue, this requirement doesn’t get along with unit testing, especially when tests are completely isolated and they need to validate different aspects of JPA or Hibernate. That was an issue that I bumped into when writing test cases for the High-Performance Java Persistence book. All my tests need to be isolated, and not all… Read More
High-Performance Java Persistence – Chapter 9 – Hibernate Connection Management
Part 2, Chapter 9 Every new chapter of my book is released right after it’s being completed, so the reader doesn’t have to wait for the whole part to be finished to get access to new material. Table of content This chapter explains how to handle connections in Hibernate and how to monitor their usage as well as the statement that gets automatically generated, and the table of contents looks like this:
High-Performance Java Persistence – Chapter 8 – Why JPA and Hibernate matter
Second part, Chapter 8 Now that the first part of my book is published, it’s time to focus on the second part, which covers both JPA and Hibernate. From now on, every new chapter is going to be released right after it’s completed, so the reader doesn’t have to wait for the whole part to be finished to get access to new chapters. Table of content This chapter aims to remind the reader why Hibernate has its place in high-performance data access, and the table of contents looks like this:
The High-Performance Java Persistence book
A book in the making It’s been a year since I started the quest for a highly-effective Data Knowledge Stack and the Hibernate Master Class contains over fifty articles already. Now that I covered many aspects of database transactions, JDBC and Java Persistence, it’s time to assemble all the pieces together into the High-Performance Java Persistence book.
How does Hibernate Query Cache work
Introduction Now that I covered both Entity and Collection caching, it’s time to investigate how Query Caching works. The Query Cache is strictly related to Entities, and it draws an association between a search criterion and the Entities fulfilling that specific query filter. Like other Hibernate features, the Query Cache is not as trivial as one might think.
How does Hibernate TRANSACTIONAL CacheConcurrencyStrategy work
Introduction In my previous post, I introduced the READ_WRITE second-level cache concurrency mechanism. In this article, I am going to continue this topic with the TRANSACTIONAL strategy.
How does Hibernate READ_WRITE CacheConcurrencyStrategy work
Introduction In my previous post, I introduced the NONSTRICT_READ_WRITE second-level cache concurrency mechanism. In this article, I am going to continue this topic with the READ_WRITE strategy.
How does Hibernate NONSTRICT_READ_WRITE CacheConcurrencyStrategy work
Introduction In my previous post, I introduced the READ_ONLY CacheConcurrencyStrategy, which is the obvious choice for immutable entity graphs. When cached data is changeable, we need to use a read-write caching strategy and this post will describe how NONSTRICT_READ_WRITE second-level cache works.
