High-Performance Java Persistence – Chapter 12 – Inheritance
Part 2, Chapter 12 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 JPA inheritance from a data access performance point of view.
High-Performance Java Persistence – Chapter 11 – Relationships
Part 2, Chapter 11 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 JPA relationships from a data access performance point of view.
How does aggressive connection release work in Hibernate
Hibernate connection providers Hibernate needs to operate both in Java EE and stand-alone environments, and the database connectivity configuration can be done either declaratively or programmatically. To accommodate JDBC Driver connections as well as RESOURCE_LOCAL and JTA DataSource configurations, Hibernate defines its own connection factory abstraction, represented by the org.hibernate.engine.jdbc.connections.spi.ConnectionProvider interface.
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.
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:
High-Performance Java Persistence – Part One
The journey Four months, one week and two days and 114 pages; that’s how much it took to write the first part of the High-Performance Java Persistence book. As previously stated, the book is developed in an Agile fashion. Each part represents a milestone, which is accompanied by a release. This way, the readers can get access to the book content prior to finishing the whole book (which might take a year or so).
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 to monitor a Java EE DataSource
Introduction FlexyPool is an open-source framework that can monitor a DataSource connection usage. This tool come out of necessity, since we previously lacked support for provisioning connection pools. FlexyPool was initially designed for stand-alone environments and the DataSource proxy configuration was done programmatically. Using Spring bean aliases, we could even substitute an already configured DataSource with the FlexyPool Metrics-aware proxy alternative.
