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This guide walks you through the process of building an application that uses Spring Data JPA to store and retrieve data in a relational database.

What You Will Build

You will build an application that stores Customer POJOs (Plain Old Java Objects) in a memory-based database.

Starting with Spring Initializr

You can use this pre-initialized project and click Generate to download a ZIP file. This project is configured to fit the examples in this tutorial.

To manually initialize the project:

  1. Navigate to https://start.spring.io. This service pulls in all the dependencies you need for an application and does most of the setup for you.

  2. Choose either Gradle or Maven and the language you want to use. This guide assumes that you chose Java.

  3. Click Dependencies and select Spring Data JPA and then H2 Database.

  4. Click Generate.

  5. Download the resulting ZIP file, which is an archive of a web application that is configured with your choices.

Note
If your IDE has the Spring Initializr integration, you can complete this process from your IDE.
Note
You can also fork the project from Github and open it in your IDE or other editor.

Define a Simple Entity

In this example, you store Customer objects, each annotated as a JPA entity. The following listing shows the Customer class (in src/main/java/com/example/accessingdatajpa/Customer.java):

link:complete/src/main/java/com/example/accessingdatajpa/Customer.java[role=include]

Here you have a Customer class with three attributes: id, firstName, and lastName. You also have two constructors. The default constructor exists only for the sake of JPA. You do not use it directly, so it is designated as protected. The other constructor is the one you use to create instances of Customer to be saved to the database.

The Customer class is annotated with @Entity, indicating that it is a JPA entity. (Because no @Table annotation exists, it is assumed that this entity is mapped to a table named Customer.)

The Customer object’s id property is annotated with @Id so that JPA recognizes it as the object’s ID. The id property is also annotated with @GeneratedValue to indicate that the ID should be generated automatically.

The other two properties, firstName and lastName, are left unannotated. It is assumed that they are mapped to columns that share the same names as the properties themselves.

The convenient toString() method print outs the customer’s properties.

Create Simple Queries

Spring Data JPA focuses on using JPA to store data in a relational database. Its most compelling feature is the ability to create repository implementations automatically, at runtime, from a repository interface.

To see how this works, create a repository interface that works with Customer entities as the following listing (in src/main/java/com/example/accessingdatajpa/CustomerRepository.java) shows:

link:complete/src/main/java/com/example/accessingdatajpa/CustomerRepository.java[role=include]

CustomerRepository extends the CrudRepository interface. The type of entity and ID that it works with, Customer and Long, are specified in the generic parameters on CrudRepository. By extending CrudRepository, CustomerRepository inherits several methods for working with Customer persistence, including methods for saving, deleting, and finding Customer entities.

Spring Data JPA also lets you define other query methods by declaring their method signature. For example, CustomerRepository includes the findByLastName() method.

In a typical Java application, you might expect to write a class that implements CustomerRepository. However, that is what makes Spring Data JPA so powerful: You need not write an implementation of the repository interface. Spring Data JPA creates an implementation when you run the application.

Now you can wire up this example and see what it looks like!

Create an Application Class

Spring Initializr creates a simple class for the application. The following listing shows the class that Initializr created for this example (in src/main/java/com/example/accessingdatajpa/AccessingDataJpaApplication.java):

link:initial/src/main/java/com/example/accessingdatajpa/AccessingDataJpaApplication.java[role=include]

Now you need to modify the simple class that the Initializr created for you. To get output (to the console, in this example), you need to set up a logger. Then you need to set up some data and use it to generate output. The following listing shows the finished AccessingDataJpaApplication class (in src/main/java/com/example/accessingdatajpa/AccessingDataJpaApplication.java):

link:complete/src/main/java/com/example/accessingdatajpa/AccessingDataJpaApplication.java[role=include]

The AccessingDataJpaApplication class includes a demo() method that puts the CustomerRepository through a few tests. First, it fetches the CustomerRepository from the Spring application context. Then it saves a handful of Customer objects, demonstrating the save() method and setting up some data to work with. Next, it calls findAll() to fetch all Customer objects from the database. Then it calls findById() to fetch a single Customer by its ID. Finally, it calls findByLastName() to find all customers whose last name is "Bauer". The demo() method returns a CommandLineRunner bean that automatically runs the code when the application launches.

Note
By default, Spring Boot enables JPA repository support and looks in the package (and its subpackages) where @SpringBootApplication is located. If your configuration has JPA repository interface definitions located in a package that is not visible, you can point out alternate packages by using @EnableJpaRepositories and its type-safe basePackageClasses=MyRepository.class parameter.

When you run your application, you should see output similar to the following:

== Customers found with findAll():
Customer[id=1, firstName='Jack', lastName='Bauer']
Customer[id=2, firstName='Chloe', lastName='O'Brian']
Customer[id=3, firstName='Kim', lastName='Bauer']
Customer[id=4, firstName='David', lastName='Palmer']
Customer[id=5, firstName='Michelle', lastName='Dessler']

== Customer found with findById(1L):
Customer[id=1, firstName='Jack', lastName='Bauer']

== Customer found with findByLastName('Bauer'):
Customer[id=1, firstName='Jack', lastName='Bauer']
Customer[id=3, firstName='Kim', lastName='Bauer']

Summary

Congratulations! You have written a simple application that uses Spring Data JPA to save objects to and fetch them from a database, all without writing a concrete repository implementation.

Note
If you want to expose JPA repositories with a hypermedia-based RESTful front end with little effort, you might want to read Accessing JPA Data with REST.