Spring Boot Basics - Introduction To Spring Data and Spring Data JPA

In this article, we take a look at Spring Data and Spring Data JPA.

You will Learn

  • What are the challenges with existing data store integration solutions?
  • What is Spring Data?
  • What are the aims of Spring Data?
  • How does Spring Data abstract talking to different data stores?
  • What is Spring Data JPA?
  • How does Spring Data JPA help in making JPA easier?

Challenges with Existing Data Store solutions

Let’s start with looking at problems with some of the existing solutions for storing data to data stores.

Duplication of Code

Let’s start with looking at one of the important challenges with JPA - Duplicate code.

Let’s look at a couple of data layer classes to manage Passport and Student entities.


	private EntityManager entityManager;
	public Passport getPassport(final long id) {
		return entityManager.find(Passport.class, id);

	public Passport createPassport(Passport passport) {
		return entityManager.merge(passport);


	private EntityManager entityManager;

	public Student retrieveStudent(final long id) {
		return entityManager.find(Student.class, id);

	public Student createStudent(Studetn student) {
		return entityManager.merge(student);

When we look at the above two snippets of code, we can see that there is a lot of similarity in the code structurally. Any additional methods written for the two entities would be very similar.

A straightforward approach to deal with such duplication would be to create a common interface to extract the functionality, and implement that interface in an application.

Explosion Of Data Stores

Nowadays, we are not confined to talking to just relational databases. We have a variety of data stores including NoSQL data stores such as MongoDB, Hadoop and Cassandra.

Spring Data

Spring Data provides common abstractions to store and retrieve data from a data store. This eliminates the need to connect and interact differently, with different types of data stores.

Such abstractions allow you to connect in the same way to relational databases and NO-SQL databases. It enables you to switch effortlessly between data stores.

Spring Data JPA

Spring Data JPA is an extension of Spring Data, to connect to JPA - concerned with talking with relational databases.

Using Spring Data JPA

This is how you go about using this framework:

	public interface StudentRepository extends CrudRepository<Student, Long> {

	public interface PassportRepository extends CrudRepository<Passport, Long> {

Each of the repositories extends the base CrudRepository, which is a repository that supports the CRUD operations - Create, read, Update and Delete.

CrudRepository Interface

Let’s look at some of the methods in CrudRepository interface:

	public interface Crudrepository<T, ID> extends Repository<T, ID> {
		<S extends T> S save(Entity s);
		Optional<T> findById(ID id);
		boolean existsById(ID id);
		Iterable<T> findAll();
		void deleteById(ID id);
		long count();
		//Other methods

Exploring Other Repositories

The CrudRepository is a very useful interface, and there are other repositories built on top of this. Let’s look at a few of them.

The PaginationAndSortingRepository

	public interface PaginationAndSortingRepository<T, ID> extends CrudRepository<T,ID> {
		Iterable<T> findAll(Sort sort);
		Page<T> findAll(Pageable pageable);

If you wanted to access a particular page in a set of search results, or want them sorted in a specific order, then this repository is of good use.

Do check out our video on the same topic:

image info


In this article, we talked about Spring Data, and Spring Data JPA.

Spring Data offers common abstractions, which allows us to talk to different data stores, both relational and otherwise. It is independent of any kind of data store. Spring Data JPA is an Spring Data Extension to work with JPA relational data stores.

Related Posts

Spring Boot Tutorials for Beginners

At in28Minutes, we are creating a number of tutorials with videos, articles & courses on Spring Boot for Beginners and Experienced Developers. This resources will help you learn and gain expertise at Spring Boot.

Introduction To Aspect Oriented Programming and Cross Cutting Concerns

Software applications are built in layers. There is common functionality that is sometimes needed across layers - logging, performance tracing etc. How do you implement these common features?

Programming Basics - Introduction To Object Oriented Programming

Object oriented programming (OOP) is all about thinking in terms of objects. Let's dig deeper.

Programming Basics - Five Things To Think About While Programming

You would obviously want to write code that meets your core requirements and provide good performance - choosing right data structures and algorithms to use is the fundamental part of programming. What are the other things that you need to worry about? Here are five things that we think are essential.

Asynchronous communication with queues and microservices - A perfect combination?

In this article, we throw some light on what asynchronous messaging is all about and discuss why you should consider it for your microservices architectures.

Microservice Best Practice - Build an Archetype

In this article, we focus on learning why creating proper archetypes is important for successful microservices architecture.

Microservice Architecture Best Practices - Messaging Queues

In this article, we discuss why Messaging queues are needed, and how they form the cornerstone of communication in microservices architectures.

Microservice Best Practice - Why do you build a Vertical Slice?

In this article, we look at what is a vertical slice, and why we build it. We also discuss the best practices involved in building vertical slices.

Microservices Architectures - Event Driven Approach

In this article, we talk about event driven approach, in the context of microservices architectures. We also discuss what are the advantages of using an event driven approach.

The 12 Factor App - Best Practices In Cloud Native Applications and Microservices

In order that an application be deployed in the cloud and enjoy features such as auto scaling, it first needs to be cloud native. In this article, we have a close look at the best practices for cloud native applications, popularly known as The 12 Factor App.