Imagine having a tool that can automatically detect JPA and Hibernate performance issues. Hypersistence Optimizer is that tool!
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.
Writing a book is a very time-consuming and stressful process and the last thing I needed was a very tight schedule. After reading Antonio Goncalves’s story, I chose the self-publishing way.
In the end, I settled for Leanpub because it allows me to publish the book incrementally. This leads to a better engagement with readers, allowing me to adapt the book content on the way.
At its core, the book is about getting the most out of your persistence layer and that can only happen when your application resonates with the database system. Because concurrency is inherent to database processing, transactions play a very important role in this regard.
The first part will be about some basic performance-related database concepts such as locking, batching, connection pooling.
In the second part, I will explain how an ORM can actually improve DML performance. This part will include the Hibernate Master Class findings.
The third part is about advance querying techniques with jOOQ.
