Book Image

Spring Data

By : Petri Kainulainen
Book Image

Spring Data

By: Petri Kainulainen

Overview of this book

Spring Framework has always had a good support for different data access technologies. However, developers had to use technology-specific APIs, which often led to a situation where a lot of boilerplate code had to be written in order to implement even the simplest operations. Spring Data changed all this. Spring Data makes it easier to implement Spring-powered applications that use cloud-based storage services, NoSQL databases, map-reduce frameworks or relational databases. "Spring Data" is a practical guide that is full of step-by-step instructions and examples which ensure that you can start using the Java Persistence API and Redis in your applications without extra hassle. This book provides a brief introduction to the underlying data storage technologies, gives step-by-step instructions that will help you utilize the discussed technologies in your applications, and provides a solid foundation for expanding your knowledge beyond the concepts described in this book. You will learn an easier way to manage your entities and to create database queries with Spring Data JPA. This book also demonstrates how you can add custom functions to your repositories. You will also learn how to use the Redis key-value store as data storage and to use its other features for enhancing your applications. "Spring Data" includes all the practical instructions and examples that provide you with all the information you need to create JPA repositories with Spring Data JPA and to utilize the performance of Redis in your applications by using Spring Data Redis.
Table of Contents (13 chapters)

Using Spring cache abstraction with Spring Data Redis

The cache abstraction of Spring Framework 3.1 applies caching to Java methods. When a cached method is called, the cache abstraction will check from the cache if the method has been called earlier by using the same parameters. If this is the case, then the return value is fetched from the cache and the method is not executed. Otherwise, the method is executed and its return value is stored in the cache.


The cache abstraction of Spring Framework 3.1 is explained in more detail at

Spring Data Redis provides an implementation of the Spring cache abstraction. Using Redis as a cache has two benefits over using local caching implementations such as Ehcache:

  • It can be used as a centralized cache that is shared by each servlet container or application server that runs our application. This reduces the overall number of database queries, which reduces...