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The book covers in detail the performance aspect of the plain JDBC and Hibernate programming, explains the theoretical and practical implications of the database transactions, and discusses some rare topics such as the database connection pool sizing and statement caching. This book is a highly recommended resource for every developer who is serious about learning and mastering the difficult topic of designing and implementing high performance Java database applications.

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Software engineer & enthusiast, creator of Vibur DBCP Plus, the transaction chapter is a must read. I'm basically using it as a reference for everything SQL. This is something else - it's deeply researched but also entirely practical. Good books on persistence are few and far between.

I learn a lot by reading his book and I highly recommend it if you use relational databases and ORM tools such as Hibernate. Vlad gives you plenty of tips and tricks on Hibernate, helping you diagnose your performance issues (e.g. If you want to understand how locking, sharding, replication, database concurrency control work, then this book is for you. Writing a book is difficult, but writing a book about performance and persistence is a real challenge. If you are dealing with JPA or Hibernate, this book is a must read.

Vlad made his insane experience available in an easy-to-read book. But as soon as you hit particular requirements around distributed transactions or performance you realise how much database and framework knowledge is required to implement them. And the available frameworks make it easy for their users to get started. Object to database mapping is one of the core requirements in many Java EE related projects. Java Champion, Developer Advocate at Lightbend La edad de oro del pop espanol version ultrastar. If you are talking to a database on the JVM, add this book to your reading shelf. There is no resource that better summarizes the performance implications of using JDBC, either directly or via JPA and Hibernate. This book is a must-read for everyone aiming to push their relational databases to the limit with their Java application. Java Champion, founder and CEO of Data Geekery GmbH, the company behind jOOQ Suggested price Reader Testimonials Lukas Eder The third part is dedicated to jOOQ and its powerful type-safe querying capabilities, like window functions, common table expressions, UPSERT, stored procedures and database functions. In this second part, you'll learn about the most efficient Hibernate mappings (basic types, associations, inheritance), fetching best practices, caching and concurrency control mechanisms. The second part demonstrates how you can take advantage of JPA and Hibernate without compromising application performance. In this first part, you'll learn about connection management, batch updates, statement caching, result set fetching and database transactions. For this reason, it covers both JDBC and the database fundamentals that are of paramount importance when reducing transaction response times. The first part aims to reduce the gap between application developers and database administrators. From connection management, to batch updates, fetch sizes and concurrency control mechanisms, it unravels the inner workings of the most common Java data access frameworks. This book is a journey into Java data access performance tuning. If you're interested in a print copy, then check out the Paperback version on Amazon, .uk, or. High-Performance Java Persistence video courses. For the ultimate learning experience, you should definitely enroll in my

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