10 Accessing Data with JPA

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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.

How to complete this guide

Like most Spring Getting Started guides, you can start from scratch and complete each step or you can bypass basic setup steps that are already familiar to you. Either way, you end up with working code.

To start from scratch, move on to Starting with Spring Initializr.

To skip the basics, do the following:

Download and unzip the source repository for this guide, or clone it using Git: git clone [https://github.com/spring-guides/gs-accessing-data-jpa.git](https://github.com/spring-guides/gs-accessing-data-jpa.git)
cd into gs-accessing-data-jpa/initial
Jump ahead to Define a Simple Entity.

When you finish, you can check your results against the code in gs-accessing-data-jpa/complete.

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:

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.
Choose either Gradle or Maven and the language you want to use. This guide assumes that you chose Java.
Click Dependencies and select Spring Data JPA and then H2 Database.
Click Generate.
Download the resulting ZIP file, which is an archive of a web application that is configured with your choices.

If your IDE has the Spring Initializr integration, you can complete this process from your IDE.

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):

    package com.example.accessingdatajpa;
    
    import javax.persistence.Entity;
    import javax.persistence.GeneratedValue;
    import javax.persistence.GenerationType;
    import javax.persistence.Id;
    
    @Entity
    public class Customer {
    
      @Id
      @GeneratedValue(strategy=GenerationType.AUTO)
      private Long id;
      private String firstName;
      private String lastName;
    
      protected Customer() {}
    
      public Customer(String firstName, String lastName) {
        this.firstName = firstName;
        this.lastName = lastName;
      }
    
      @Override
      public String toString() {
        return String.format(
            "Customer[id=%d, firstName='%s', lastName='%s']",
            id, firstName, lastName);
      }
    
      public Long getId() {
        return id;
      }
    
      public String getFirstName() {
        return firstName;
      }
    
      public String getLastName() {
        return lastName;
      }
    }

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:

    package com.example.accessingdatajpa;
    
    import java.util.List;
    
    import org.springframework.data.repository.CrudRepository;
    
    public interface CustomerRepository extends CrudRepository<Customer, Long> {
    
      List<Customer> findByLastName(String lastName);
    
      Customer findById(long id);
    }

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!

What You need

About 15 minutes
A favorite text editor or IDE
JDK 1.8 or later
Gradle 4+ or Maven 3.2+
You can also import the code straight into your IDE:
- Spring Tool Suite (STS)
- IntelliJ IDEA

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):

    package com.example.accessingdatajpa;
    
    import org.springframework.boot.SpringApplication;
    import org.springframework.boot.autoconfigure.SpringBootApplication;
    
    @SpringBootApplication
    public class AccessingDataJpaApplication {
    
      public static void main(String[] args) {
        SpringApplication.run(AccessingDataJpaApplication.class, args);
      }
    
    }

@SpringBootApplication is a convenience annotation that adds all of the following:

@Configuration: Tags the class as a source of bean definitions for the application context.
@EnableAutoConfiguration: Tells Spring Boot to start adding beans based on classpath settings, other beans, and various property settings. For example, if spring-webmvc is on the classpath, this annotation flags the application as a web application and activates key behaviors, such as setting up a DispatcherServlet.
@ComponentScan: Tells Spring to look for other components, configurations, and services in the com/example package, letting it find the controllers.

The main() method uses Spring Boot’s SpringApplication.run() method to launch an application. Did you notice that there was not a single line of XML? There is no web.xml file, either. This web application is 100% pure Java and you did not have to deal with configuring any plumbing or infrastructure.

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):

    package com.example.accessingdatajpa;
    
    import org.slf4j.Logger;
    import org.slf4j.LoggerFactory;
    import org.springframework.boot.CommandLineRunner;
    import org.springframework.boot.SpringApplication;
    import org.springframework.boot.autoconfigure.SpringBootApplication;
    import org.springframework.context.annotation.Bean;
    
    @SpringBootApplication
    public class AccessingDataJpaApplication {
    
      private static final Logger log = LoggerFactory.getLogger(AccessingDataJpaApplication.class);
    
      public static void main(String[] args) {
        SpringApplication.run(AccessingDataJpaApplication.class);
      }
    
      @Bean
      public CommandLineRunner demo(CustomerRepository repository) {
        return (args) -> {
          // save a few customers
          repository.save(new Customer("Jack", "Bauer"));
          repository.save(new Customer("Chloe", "O'Brian"));
          repository.save(new Customer("Kim", "Bauer"));
          repository.save(new Customer("David", "Palmer"));
          repository.save(new Customer("Michelle", "Dessler"));
    
          // fetch all customers
          log.info("Customers found with findAll():");
          log.info("-------------------------------");
          for (Customer customer : repository.findAll()) {
            log.info(customer.toString());
          }
          log.info("");
    
          // fetch an individual customer by ID
          Customer customer = repository.findById(1L);
          log.info("Customer found with findById(1L):");
          log.info("--------------------------------");
          log.info(customer.toString());
          log.info("");
    
          // fetch customers by last name
          log.info("Customer found with findByLastName('Bauer'):");
          log.info("--------------------------------------------");
          repository.findByLastName("Bauer").forEach(bauer -> {
            log.info(bauer.toString());
          });
          // for (Customer bauer : repository.findByLastName("Bauer")) {
          //  log.info(bauer.toString());
          // }
          log.info("");
        };
      }
    
    }

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.

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.

Build an executable JAR

You can run the application from the command line with Gradle or Maven. You can also build a single executable JAR file that contains all the necessary dependencies, classes, and resources and run that. Building an executable jar makes it easy to ship, version, and deploy the service as an application throughout the development lifecycle, across different environments, and so forth.

If you use Gradle, you can run the application by using ./gradlew bootRun. Alternatively, you can build the JAR file by using ./gradlew build and then run the JAR file, as follows:

java -jar build/libs/gs-accessing-data-jpa-0.1.0.jar

If you use Maven, you can run the application by using ./mvnw spring-boot:run. Alternatively, you can build the JAR file with ./mvnw clean package and then run the JAR file, as follows:

java -jar target/gs-accessing-data-jpa-0.1.0.jar

The steps described here create a runnable JAR. You can also build a classic WAR file.

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.

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.

tip

What You Will build​

How to complete this guide​

Starting with Spring Initializr​

Define a Simple Entity​

Create Simple Queries​

What You need​

Create an Application Class​

Build an executable JAR​

Summary​

See Also​

What You Will build

How to complete this guide

Starting with Spring Initializr

Define a Simple Entity

Create Simple Queries

What You need

Create an Application Class

Build an executable JAR

Summary

See Also