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Spring Boot Persistence Best Practices - Optimize Java Persistence Performance in Spring Boot Applications (Paperback, 1st ed.)
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Spring Boot Persistence Best Practices - Optimize Java Persistence Performance in Spring Boot Applications (Paperback, 1st ed.)
Expected to ship within 10 - 15 working days
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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.
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