Spring Data crash course

Agenda

  1. Introduction
  2. Requirements
  3. Spring Data JDBC
  4. Spring Data JPA
  5. Spring Data REST
  6. Conclusion

1. Introduction

Spring Data Mission:

Provide a familiar and consistent Spring-based programming model for data access while still retaining the special traits of the underlying data store.

Main Spring Data Modules (1/2)

  • Spring Data Commons - Core Spring concepts underpinning every Spring Data project.
  • Spring Data JPA - Makes it easy to implement JPA-based repositories.
  • Spring Data JDBC - JDBC-based repositories.
  • Spring Data KeyValue - Map-based repositories and SPIs to easily build a Spring Data module for key-value stores.
  • Spring Data LDAP - Provides Spring Data repository support for Spring LDAP.
  • Spring Data MongoDB - Spring based, object-document support and repositories for MongoDB.
  • Spring Data REST - Exports Spring Data repositories as hypermedia-driven RESTful resources.

Main Spring Data Modules (2/2)

  • Spring Data Redis - Provides easy configuration and access to Redis from Spring applications.
  • Spring Data for Apache Cassandra - Spring Data module for Apache Cassandra.
  • Spring Data for Apache Solr - Spring Data module for Apache Solr.
  • Spring Data for Pivotal GemFire - Provides easy configuration and access to Pivotal GemFire from Spring applications.

2. Requirements

  1. Database setup
    1. H2 Database Engine
    2. Create database
  2. Project setup
    1. Create Maven project
    2. Add dependencies into the POM.xml

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2. Spring Data JDBC

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3. Spring Data JPA

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4. Spring Data REST

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5. Conclusion

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References


mvn archetype:generate -DgroupId=com.mycompany.app -DartifactId=my-app -DarchetypeArtifactId=maven-archetype-quickstart -DinteractiveMode=false