Suitable for data updated by the application, backed by a distributed caching provider like Ehcache or Hazelcast to handle lock serialization. Optimistic vs. Pessimistic Locking
Poor entity mapping creates inefficient database schemas. The guide outlines optimal mapping configurations:
Instead of executing 1,000 INSERT statements individually, batching allows sending them in a single network call. vlad mihalcea high-performance java persistence pdf
Get the official PDF, open to Chapter 5 ("Pagination and Filtering"), and never run Streaming without limits again.
Mastering Database Access: A Deep Dive into "High-Performance Java Persistence" by Vlad Mihalcea Suitable for data updated by the application, backed
What specific (high CPU, slow queries, connection timeouts) are you trying to solve?
The performance implications of @OneToMany , @ManyToMany , and why you should avoid FetchType.EAGER . 3. Advanced Performance Tuning The performance implications of @OneToMany , @ManyToMany ,
Tailoring Hibernate configurations for PostgreSQL, Oracle, MySQL, and SQL Server.
You can buy the official PDF directly from Vlad Mihalcea's website or popular online book platforms. Purchasing the official copy ensures you get the latest updates. The author frequently updates the content to match newer versions of Java and Hibernate. To help you get the most out of this topic, tell me: