Spring Boot Persistence Best Practices: Optimize Java Persistence Performance in Spring Boot Applications - Brossura

Leonard, Anghel

Brossura

ISBN 10: 1484256255 ISBN 13: 9781484256251

Casa editrice: Apress, 2020

Riassunto

This book is a collection of developer code recipes and best practices for persisting data using Spring, particularly Spring Boot. The book is structured around practical recipes, where each recipe discusses a performance case or performance-related case, and almost every recipe has one or more applications. Mainly, when we try to accomplish something (e.g., read some data from the database), there are several approaches to do it, and, in order to choose the best way, you have to know the implied trades-off from a performance perspective. You’ll see that in the end, all these penalties slow down the application. Besides presenting the arguments that favor a certain choice, the application is written in Spring Boot style which is quite different than plain Hibernate.

Persistence is an important set of techniques and technologies for accessing and using data, and this book demonstrates that data is mobile regardless of specific applications and contexts. In Java development, persistence is a key factor in enterprise, ecommerce, cloud and other transaction-oriented applications. 

After reading and using this book, you'll have the fundamentals to apply these persistence solutions into your own mission-critical enterprise Java applications that you build using Spring.

What You Will Learn

• Shape *-to-many associations for best performances
• Effectively exploit Spring Projections (DTO)
• Learn best practices for batching inserts, updates and deletes
• Effectively fetch parent and association in a single SELECT
• Learn how to inspect Persistent Context content
• Dissect pagination techniques (offset and keyset)
• Handle queries, locking, schemas, Hibernate types, and more

Who This Book Is For 

Any Spring and Spring Boot developer that wants to squeeze the persistence layer performances.

Su questo libro

Informazioni sull?autore

Anghel Leonard is a Chief Technology Strategist with 20+ years of experience in the Java ecosystem. In daily work, he is focused on architecting and developing Java distributed applications that empower robust architectures, clean code, and high-performance. Also passionate about coaching, mentoring and technical leadership. He is the author of several books, videos and dozens of articles related to Java technologies.

Dalla quarta di copertina

This book is a collection of developer code recipes and best practices for persisting data using Spring, particularly Spring Boot. The book is structured around practical recipes, where each recipe discusses a performance case or performance-related case, and almost every recipe has one or more applications. Mainly, when we try to accomplish something (e.g., read some data from the database), there are several approaches to do it, and, in order to choose the best way, you have to know the implied trades-off from a performance perspective. You ll see that in the end, all these penalties slow down the application. Besides presenting the arguments that favor a certain choice, the application is written in Spring Boot style which is quite different than plain Hibernate.

Persistence is an important set of techniques and technologies for accessing and using data, and this book demonstrates that data is mobile regardless of specific applications and contexts. In Java development, persistence is a key factor in enterprise, ecommerce, cloud and other transaction-oriented applications. 

After reading and using this book, you'll have the fundamentals to apply these persistence solutions into your own mission-critical enterprise Java applications that you build using Spring.

You will:

• Shape *-to-many associations for best performances
• Effectively exploit Spring Projections (DTO)
• Learn best practices for batching inserts, updates and deletes
• Effectively fetch parent and association in a single SELECT
• Learn how to inspect Persistent Context content
• Dissect pagination techniques (offset and keyset)
• Handle queries, locking, schemas, Hibernate types, and more

Dettagli dell?edizione

• Editore: Apress
• Data di pubblicazione: 2020
• Lingua: Inglese
• ISBN 10: 1484256255
• ISBN 13: 9781484256251
• Rilegatura: Copertina flessibile
• Numero edizione: 1
• Numero di pagine: 1027
• Contatto del produttore: Springer Nature Customer Service Center GmbH; ProductSafety@springernature.com