High-Performance Java Persistence – Part Two
Another milestone has been reached The second part of High-Performance Java Persistence book is out. It’s been almost a year since I started writing this book, and seven months since I published the first part.
High-Performance Java Persistence – Chapter 16 – Caching
Part 2, Chapter 16 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 enterprise caching works, from database internal buffers, to application-level caching, and the second-level cache offered by Hibernate.
How to run database integration tests 20 times faster
Introduction In-memory databases such as H2, HSQLDB, and Derby are great to speed up integration tests. Although most database queries can be run against these in-memory databases, many enterprise systems make use of complex native queries which can only be tested against an actual production-like relational database. In this post, I’m going to show you how you can run PostgreSQL and MySQL integration tests almost as fast as any in-memory database.
High-Performance Java Persistence – Chapter 15 – Fetching
Part 2, Chapter 15 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 fetching works in Hibernate.
High-Performance Java Persistence – Chapter 14 – Batching
Part 2, Chapter 14 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 batch updates work in Hibernate.
High-Performance Java Persistence – Chapter 13 – Flushing
Part 2, Chapter 13 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 inner-workings of the Hibernate Persistence Context implementation.
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.
