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eBook – Java Streams – NPI EA (cat=Java Streams)
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Since its introduction in Java 8, the Stream API has become a staple of Java development. The basic operations like iterating, filtering, mapping sequences of elements are deceptively simple to use.

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Partner – Moderne – NPI EA (cat=Spring Boot)
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Distributed systems often come with complex challenges such as service-to-service communication, state management, asynchronous messaging, security, and more.

Dapr (Distributed Application Runtime) provides a set of APIs and building blocks to address these challenges, abstracting away infrastructure so we can focus on business logic.

In this tutorial, we'll focus on Dapr's pub/sub API for message brokering. Using its Spring Boot integration, we'll simplify the creation of a loosely coupled, portable, and easily testable pub/sub messaging system:

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1. Introduction

In this tutorial, we’re going to learn about limiting query results with JPA and Spring Data JPA.

First, we’ll take a look at the table we want to query, as well as the SQL query we want to reproduce.

Then we’ll dive right into how to achieve that with JPA and Spring Data JPA.

Let’s get started!

2. The Test Data

Below we have the table that we’ll be querying throughout this article.

The question we want to answer is, “What is the first occupied seat and who is occupying it?”

First Name Last Name Seat Number
Jill Smith 50
Eve Jackson 94
Fred Bloggs 22
Ricki Bobbie 36
Siya Kolisi 85

3. The SQL

With SQL, we might write a query that looks something like this:

SELECT firstName, lastName, seatNumber FROM passengers ORDER BY seatNumber LIMIT 1;

4. JPA Setup

With JPA, we need an Entity first to map our table:

@Entity
class Passenger {

    @Id
    @GeneratedValue
    @Column(nullable = false)
    private Long id;

    @Basic(optional = false)
    @Column(nullable = false)
    private String firstName;

    @Basic(optional = false)
    @Column(nullable = false)
    private String lastName;

    @Basic(optional = false)
    @Column(nullable = false)
    private int seatNumber;

    // constructor, getters etc.
}

Next, we need a method which encapsulates our query code, implemented here as PassengerRepositoryImpl#findOrderedBySeatNumberLimitedTo(int limit):

@Repository
class PassengerRepositoryImpl {

    @PersistenceContext
    private EntityManager entityManager;

    @Override
    public List<Passenger> findOrderedBySeatNumberLimitedTo(int limit) {
        return entityManager.createQuery("SELECT p FROM Passenger p ORDER BY p.seatNumber",
          Passenger.class).setMaxResults(limit).getResultList();
    }
}

In our repository method, we use the EntityManager to create a Query on which we call the setMaxResults() method.

This call to Query#setMaxResults will eventually result in the limit statement appended to the generated SQL:

select
  passenger0_.id as id1_15_,
  passenger0_.first_name as first_nam2_15_,
  passenger0_.last_name as last_nam3_15_,
  passenger0_.seat_number as seat_num4_15_
from passenger passenger0_ order by passenger0_.seat_number limit ?

5. With Spring Data JPA

We can also generate our SQL using Spring Data JPA.

5.1. first or top

One way we could approach this is by using method name derivation with the keywords first or top.

We can, optionally, specify a number as the maximum result size that will be returned. If we omit it, Spring Data JPA assumes a result size of 1.

Since we want to know which was the first seat to be occupied and who is occupying it, we can get it by omitting the number in these two ways:

Passenger findFirstByOrderBySeatNumberAsc();
Passenger findTopByOrderBySeatNumberAsc();

If we limit to one instance result, as above, then we can also wrap the result using Optional:

Optional<Passenger> findFirstByOrderBySeatNumberAsc();
Optional<Passenger> findTopByOrderBySeatNumberAsc();

5.2. Pageable

Alternatively, we can use a Pageable object:

Page<Passenger> page = repository.findAll(
  PageRequest.of(0, 1, Sort.by(Sort.Direction.ASC, "seatNumber")));

If we take a look at the default implementation of JpaRepository, the SimpleJpaRepositorywe can see that it also calls Query#setMaxResults:

protected <S extends T > Page < S > readPage(TypedQuery < S > query, 
  Class < S > domainClass, Pageable pageable,
  @Nullable Specification < S > spec) {
    if (pageable.isPaged()) {
        query.setFirstResult((int) pageable.getOffset());
        query.setMaxResults(pageable.getPageSize());
    }

    return PageableExecutionUtils.getPage(query.getResultList(), pageable, () -> {
        return executeCountQuery(this.getCountQuery(spec, domainClass));
    });
}

5.3. Using Limit

Spring Data JPA version 3.2 provides a new type named Limit to limit the number of results returned from a query. It has two static methods – of() and unlimited().

The of() method accepts an integer as an argument.  It limits query results to the given maximum size. This allows fetching only the specified number of results.

Next, the unlimited() method returns all the matching results from a query. it doesn’t restrict the number of results.

Let’s use the of() method from Limit to limit the query result to 1:

List<Passenger> passenger = repository.findByOrderBySeatNumberAsc(Limit.of(1));

Here, we invoke the static method of() on Limit to return 1 result based on our specification.

5.4. Comparison

These alternatives produce the SQL that we’re after, with first and top favoring convention, Pageable favoring configuration, and Limit providing a simple method call:

select
  passenger0_.id as id1_15_,
  passenger0_.first_name as first_nam2_15_,
  passenger0_.last_name as last_nam3_15_,
  passenger0_.seat_number as seat_num4_15_ 
from passenger passenger0_ order by passenger0_.seat_number asc limit ?

6. Conclusion

Limiting query results in JPA is slightly different from SQL; we don’t include the limit keyword directly into our JPQL.

Instead, we just make a single method call to Query#maxResults, or include the keyword first or top in our Spring Data JPA method name. Also, with Spring Data JPA version 3.2 and above, we can use the Limit interface to limit query results by calling its static of() method to specify the maximum size.

The code backing this article is available on GitHub. Once you're logged in as a Baeldung Pro Member, start learning and coding on the project.
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eBook – HTTP Client – NPI EA (cat=HTTP Client-Side)
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eBook – Java Concurrency – NPI EA (cat=Java Concurrency)
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eBook – Java Streams – NPI EA (cat=Java Streams)
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Since its introduction in Java 8, the Stream API has become a staple of Java development. The basic operations like iterating, filtering, mapping sequences of elements are deceptively simple to use.

But these can also be overused and fall into some common pitfalls.

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Partner – Moderne – NPI EA (tag=Refactoring)
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Modern Java teams move fast — but codebases don’t always keep up. Frameworks change, dependencies drift, and tech debt builds until it starts to drag on delivery. OpenRewrite was built to fix that: an open-source refactoring engine that automates repetitive code changes while keeping developer intent intact.

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