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eBook – Mockito – NPI EA (tag = Mockito)
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eBook – Java Concurrency – NPI EA (cat=Java Concurrency)
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eBook – Reactive – NPI EA (cat=Reactive)
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Spring 5 added support for reactive programming with the Spring WebFlux module, which has been improved upon ever since. Get started with the Reactor project basics and reactive programming in Spring Boot:

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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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eBook – Jackson – NPI EA (cat=Jackson)
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eBook – Persistence – NPI EA (cat=Persistence)
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Course – LS – NPI EA (cat=Jackson)
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Course – LSS – NPI EA (cat=Spring Security)
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Yes, Spring Security can be complex, from the more advanced functionality within the Core to the deep OAuth support in the framework.

I built the security material as two full courses - Core and OAuth, to get practical with these more complex scenarios. We explore when and how to use each feature and code through it on the backing project.

You can explore the course here:

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Course – LSD – NPI EA (tag=Spring Data JPA)
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Spring Data JPA is a great way to handle the complexity of JPA with the powerful simplicity of Spring Boot.

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Partner – Moderne – NPI EA (cat=Spring Boot)
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Refactor Java code safely — and automatically — with OpenRewrite.

Refactoring big codebases by hand is slow, risky, and easy to put off. That’s where OpenRewrite comes in. The open-source framework for large-scale, automated code transformations helps teams modernize safely and consistently.

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Course – LJB – NPI EA (cat = Core Java)
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Partner – LambdaTest – NPI EA (cat= Testing)
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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:

>> Flexible Pub/Sub Messaging With Spring Boot and Dapr

1. Introduction

In this tutorial, we’ll learn how to query data with the Spring Data Query by Example API.

First, we’ll define the schema of the data we want to query. Next, we’ll examine a few of the relevant classes from Spring Data. Finally, we’ll run through a few examples.

Let’s get started!

2. The Test Data

Our test data is a list of passenger names, as well as the seat they occupied:

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

3. Domain

Let’s create the Spring Data Repository we’ll need, and provide our domain class and id type.

To begin, we’ll model our Passenger as a JPA entity:

@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.
}

Instead of using JPA, we could’ve modeled it as another abstraction.

4. Query by Example API

First, let’s take a look at the JpaRepository interface. As we can see, it extends the QueryByExampleExecutor interface to support query by example:

public interface JpaRepository<T, ID>
  extends PagingAndSortingRepository<T, ID>, QueryByExampleExecutor<T> {}

This interface introduces more variants of the find() method that we’re familiar with from Spring Data. However, each method also accepts an instance of Example:

public interface QueryByExampleExecutor<T> {
    <S extends T> Optional<S> findOne(Example<S> var1);
    <S extends T> Iterable<S> findAll(Example<S> var1);
    <S extends T> Iterable<S> findAll(Example<S> var1, Sort var2);
    <S extends T> Page<S> findAll(Example<S> var1, Pageable var2);
    <S extends T> long count(Example<S> var1);
    <S extends T> boolean exists(Example<S> var1);
}

Next, the Example interface exposes methods to access the probe and the ExampleMatcher.

It’s important to realize that the probe is the instance of our Entity:

public interface Example<T> {

    static <T> org.springframework.data.domain.Example<T> of(T probe) {
        return new TypedExample(probe, ExampleMatcher.matching());
    }

    static <T> org.springframework.data.domain.Example<T> of(T probe, ExampleMatcher matcher) {
        return new TypedExample(probe, matcher);
    }

    T getProbe();

    ExampleMatcher getMatcher();

    default Class<T> getProbeType() {
        return ProxyUtils.getUserClass(this.getProbe().getClass());
    }
}

In short, our probe and ExampleMatcher together specify our query.

5. Limitations

Like all things, the Query by Example API has some limitations:

  • Nesting and grouping statements aren’t supported. For example:  (firstName = ?0 and lastName = ?1) or seatNumber = ?2
  • String matching only includes exact, case-insensitive, starts, ends, contains, and regex
  • All types other than String are exact-match only

Now that we’re a little more familiar with the API and its limitations, let’s dive into some examples.

6. Examples

6.1. Case-Sensitive Matching

Let’s start with a simple example, and talk about the default behavior:

@Test
public void givenPassengers_whenFindByExample_thenExpectedReturned() {
    Example<Passenger> example = Example.of(Passenger.from("Fred", "Bloggs", null));

    Optional<Passenger> actual = repository.findOne(example);

    assertTrue(actual.isPresent());
    assertEquals(Passenger.from("Fred", "Bloggs", 22), actual.get());
}

In particular, the static Example.of() method builds an Example using ExampleMatcher.matching().

In other words, an exact match will be performed on all non-null properties of Passenger. Thus, the matching is case-sensitive on String properties.

However, it wouldn’t be too useful if all we could do was an exact match on all non-null properties.

This is where the ExampleMatcher comes in. By building our own ExampleMatcher, we can customize the behavior to suit our needs.

6.2. Case-Insensitive Matching

With that in mind, let’s have a look at another example, this time using withIgnoreCase() to achieve case-insensitive matching:

@Test
public void givenPassengers_whenFindByExampleCaseInsensitiveMatcher_thenExpectedReturned() {
    ExampleMatcher caseInsensitiveExampleMatcher = ExampleMatcher.matchingAll().withIgnoreCase();
    Example<Passenger> example = Example.of(Passenger.from("fred", "bloggs", null),
      caseInsensitiveExampleMatcher);

    Optional<Passenger> actual = repository.findOne(example);

    assertTrue(actual.isPresent());
    assertEquals(Passenger.from("Fred", "Bloggs", 22), actual.get());
}

In this example, notice that we first called ExampleMatcher.matchingAll(); it has the same behavior as ExampleMatcher.matching(), which we used in the previous example.

6.3. Custom Matching

We can also tune the behavior of our matcher on a per-property basis and match any property using ExampleMatcher.matchingAny():

@Test
public void givenPassengers_whenFindByExampleCustomMatcher_thenExpectedReturned() {
    Passenger jill = Passenger.from("Jill", "Smith", 50);
    Passenger eve = Passenger.from("Eve", "Jackson", 95);
    Passenger fred = Passenger.from("Fred", "Bloggs", 22);
    Passenger siya = Passenger.from("Siya", "Kolisi", 85);
    Passenger ricki = Passenger.from("Ricki", "Bobbie", 36);

    ExampleMatcher customExampleMatcher = ExampleMatcher.matchingAny()
      .withMatcher("firstName", ExampleMatcher.GenericPropertyMatchers.contains().ignoreCase())
      .withMatcher("lastName", ExampleMatcher.GenericPropertyMatchers.contains().ignoreCase());

    Example<Passenger> example = Example.of(Passenger.from("e", "s", null), customExampleMatcher);

    List<Passenger> passengers = repository.findAll(example);

    assertThat(passengers, contains(jill, eve, fred, siya));
    assertThat(passengers, not(contains(ricki)));
}

6.4. Ignoring Properties

We may also only want to query on a subset of our properties.

We achieve this by ignoring some properties using ExampleMatcher.ignorePaths(String… paths):

@Test
public void givenPassengers_whenFindByIgnoringMatcher_thenExpectedReturned() {
    Passenger jill = Passenger.from("Jill", "Smith", 50); 
    Passenger eve = Passenger.from("Eve", "Jackson", 95); 
    Passenger fred = Passenger.from("Fred", "Bloggs", 22);
    Passenger siya = Passenger.from("Siya", "Kolisi", 85);
    Passenger ricki = Passenger.from("Ricki", "Bobbie", 36);

    ExampleMatcher ignoringExampleMatcher = ExampleMatcher.matchingAny()
      .withMatcher("lastName", ExampleMatcher.GenericPropertyMatchers.startsWith().ignoreCase())
      .withIgnorePaths("firstName", "seatNumber");

    Example<Passenger> example = Example.of(Passenger.from(null, "b", null), ignoringExampleMatcher);

    List<Passenger> passengers = repository.findAll(example);

    assertThat(passengers, contains(fred, ricki));
    assertThat(passengers, not(contains(jill));
    assertThat(passengers, not(contains(eve)); 
    assertThat(passengers, not(contains(siya)); 
}

7. Conclusion

In this article, we demonstrated how to use the Query by Example API.

We learned how to use Example and ExampleMatcher, along with the QueryByExampleExecutor interface to query a table using an example data instance.

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.
Baeldung Pro – NPI EA (cat = Baeldung)
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eBook – HTTP Client – NPI EA (cat=HTTP Client-Side)
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The Apache HTTP Client is a very robust library, suitable for both simple and advanced use cases when testing HTTP endpoints. Check out our guide covering basic request and response handling, as well as security, cookies, timeouts, and more:

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eBook – Java Concurrency – NPI EA (cat=Java Concurrency)
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Handling concurrency in an application can be a tricky process with many potential pitfalls. A solid grasp of the fundamentals will go a long way to help minimize these issues.

Get started with understanding multi-threaded applications with our Java Concurrency guide:

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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.

To get a better understanding on how Streams work and how to combine them with other language features, check out our guide to Java Streams:

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eBook – Persistence – NPI EA (cat=Persistence)
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Course – LS – NPI EA (cat=REST)

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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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