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Azure Container Apps is a fully managed serverless container service that enables you to build and deploy modern, cloud-native Java applications and microservices at scale. It offers a simplified developer experience while providing the flexibility and portability of containers.

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Azure Container Apps is a fully managed serverless container service that enables you to build and deploy modern, cloud-native Java applications and microservices at scale. It offers a simplified developer experience while providing the flexibility and portability of containers.

Of course, Azure Container Apps has really solid support for our ecosystem, from a number of build options, managed Java components, native metrics, dynamic logger, and quite a bit more.

To learn more about Java features on Azure Container Apps, you can get started over on the documentation page.

And, you can also ask questions and leave feedback on the Azure Container Apps GitHub page.

Partner – Orkes – NPI EA (cat=Spring)
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Modern software architecture is often broken. Slow delivery leads to missed opportunities, innovation is stalled due to architectural complexities, and engineering resources are exceedingly expensive.

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With Orkes Conductor managed through Orkes Cloud, developers can focus on building mission critical applications without worrying about infrastructure maintenance to meet goals and, simply put, taking new products live faster and reducing total cost of ownership.

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Partner – Orkes – NPI EA (tag=Microservices)
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Modern software architecture is often broken. Slow delivery leads to missed opportunities, innovation is stalled due to architectural complexities, and engineering resources are exceedingly expensive.

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With Orkes Conductor managed through Orkes Cloud, developers can focus on building mission critical applications without worrying about infrastructure maintenance to meet goals and, simply put, taking new products live faster and reducing total cost of ownership.

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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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Traditional keyword-based search methods rely on exact word matches, often leading to irrelevant results depending on the user's phrasing.

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1. Introduction

Spring Data JPA allows us to define derived methods that read, update or delete records from the database. This is very helpful as it reduces the boilerplate code from the data access layer.

In this tutorial, we’ll focus on defining and using Spring Data derived delete methods with practical code examples.

2. Derived deleteBy Methods

First, let’s set up our example. We’ll define a Fruit entity to save the name and color of items available in a fruit store:

@Entity
public class Fruit {
    @Id
    private long id;
    private String name;
    private String color;
    // standard getters and setters
}

Next, we’ll add our repository to operate on Fruit entities, by extending the JpaRepository interface and adding our derived methods to this class.

Derived methods can be defined as VERB + attribute defined in an entity. A few of the allowed verbs are findBy, deleteBy, and removeBy.

Let’s derive a method to delete Fruits by their name:

@Repository
public interface FruitRepository extends JpaRepository<Fruit, Long> {
    Long deleteByName(String name);
}

In this example, the deleteByName method returns the count of deleted records.

Similarly, we can also derive a delete method of the form:

List<Fruit> deleteByColor(String color);

Here, the deleteByColor method deletes all fruits with a given color and returns a list of deleted records.

Let’s test the derived delete methods. First, we’ll insert a few records in the Fruit table, by defining the data in test-fruit-data.sql:

insert into fruit(id,name,color) values (1,'apple','red');
insert into fruit(id,name,color) values (2,'custard apple','green');
insert into fruit(id,name,color) values (3,'mango','yellow');
insert into fruit(id,name,color) values (4,'guava','green');

Then, we’ll delete all “green” fruit:

@Transactional
@Test
@Sql(scripts = { "/test-fruit-data.sql" })
public void givenFruits_WhenDeletedByColor_ThenDeletedFruitsShouldReturn() {
     List<Fruit> fruits = fruitRepository.deleteByColor("green");

     assertEquals("number of fruits are not matching", 2, fruits.size());
     fruits.forEach(fruit -> assertEquals("It's not a green fruit", "green", fruit.getColor()));
}

Also, note that we need to use the @Transactional annotation for delete methods.

Next, let’s add a similar test case for the second deleteBy method:

@Transactional
@Test
@Sql(scripts = { "/test-fruit-data.sql" })
public void givenFruits_WhenDeletedByName_ThenDeletedFruitCountShouldReturn() {

    Long deletedFruitCount = fruitRepository.deleteByName("apple");

    assertEquals("deleted fruit count is not matching", 1, deletedFruitCount.intValue());
}

3. Derived removeBy Methods

We can also use the removeBy verb to derive delete methods:

Long removeByName(String name);
List<Fruit> removeByColor(String color);

Note that there’s no difference in the behavior of the two types of methods.

The final interface will look like:

@Repository
public interface FruitRepository extends JpaRepository<Fruit, Long> {

    Long deleteByName(String name);

    List<Fruit> deleteByColor(String color);

    Long removeByName(String name);

    List<Fruit> removeByColor(String color);
}

Let’s add similar unit tests for the removeBy methods:

@Transactional
@Test
@Sql(scripts = { "/test-fruit-data.sql" })
public void givenFruits_WhenRemovedByColor_ThenDeletedFruitsShouldReturn() {
    List<Fruit> fruits = fruitRepository.removeByColor("green");

    assertEquals("number of fruits are not matching", 2, fruits.size());
}
@Transactional
@Test
@Sql(scripts = { "/test-fruit-data.sql" })
public void givenFruits_WhenRemovedByName_ThenDeletedFruitCountShouldReturn() {
    Long deletedFruitCount = fruitRepository.removeByName("apple");

    assertEquals("deleted fruit count is not matching", 1, deletedFruitCount.intValue());
}

4. Derived Deleted Methods vs @Query

We may come across a scenario that makes the derived method’s name too big or that involves a SQL JOIN between unrelated entities.

In this case, we can also use the @Query and @Modifying annotations to implement delete operations.

Let’s see the equivalent code for our derived delete methods, using a custom query:

@Modifying
@Query("delete from Fruit f where f.name=:name or f.color=:color")
int deleteFruits(@Param("name") String name, @Param("color") String color);

Although the two solutions seem similar, and they do achieve the same result, they take a slightly different approach. The @Query method creates a single JPQL query against the database. By comparison, the deleteBy methods execute a read query, then delete each of the items one by one.

Also, the deleteBy method can return the list of deleted records, while the custom query will return the number of deleted records.

5. Conclusion

In this article, we focused on derived Spring Data derived delete methods.

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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Baeldung Pro comes with both absolutely No-Ads as well as finally with Dark Mode, for a clean learning experience:

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Once the early-adopter seats are all used, the price will go up and stay at $33/year.

Partner – Microsoft – NPI EA (cat = Baeldung)
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Azure Container Apps is a fully managed serverless container service that enables you to build and deploy modern, cloud-native Java applications and microservices at scale. It offers a simplified developer experience while providing the flexibility and portability of containers.

Of course, Azure Container Apps has really solid support for our ecosystem, from a number of build options, managed Java components, native metrics, dynamic logger, and quite a bit more.

To learn more about Java features on Azure Container Apps, visit the documentation page.

You can also ask questions and leave feedback on the Azure Container Apps GitHub page.

Partner – Microsoft – NPI EA (cat = Spring Boot)
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Azure Container Apps is a fully managed serverless container service that enables you to build and deploy modern, cloud-native Java applications and microservices at scale. It offers a simplified developer experience while providing the flexibility and portability of containers.

Of course, Azure Container Apps has really solid support for our ecosystem, from a number of build options, managed Java components, native metrics, dynamic logger, and quite a bit more.

To learn more about Java features on Azure Container Apps, visit the documentation page.

You can also ask questions and leave feedback on the Azure Container Apps GitHub page.

Partner – Orkes – NPI EA (cat = Spring)
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Modern software architecture is often broken. Slow delivery leads to missed opportunities, innovation is stalled due to architectural complexities, and engineering resources are exceedingly expensive.

Orkes is the leading workflow orchestration platform built to enable teams to transform the way they develop, connect, and deploy applications, microservices, AI agents, and more.

With Orkes Conductor managed through Orkes Cloud, developers can focus on building mission critical applications without worrying about infrastructure maintenance to meet goals and, simply put, taking new products live faster and reducing total cost of ownership.

Try a 14-Day Free Trial of Orkes Conductor today.

Partner – Orkes – NPI EA (tag = Microservices)
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Modern software architecture is often broken. Slow delivery leads to missed opportunities, innovation is stalled due to architectural complexities, and engineering resources are exceedingly expensive.

Orkes is the leading workflow orchestration platform built to enable teams to transform the way they develop, connect, and deploy applications, microservices, AI agents, and more.

With Orkes Conductor managed through Orkes Cloud, developers can focus on building mission critical applications without worrying about infrastructure maintenance to meet goals and, simply put, taking new products live faster and reducing total cost of ownership.

Try a 14-Day Free Trial of Orkes Conductor today.

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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Partner – MongoDB – NPI EA (tag=MongoDB)
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Traditional keyword-based search methods rely on exact word matches, often leading to irrelevant results depending on the user's phrasing.

By comparison, using a vector store allows us to represent the data as vector embeddings, based on meaningful relationships. We can then compare the meaning of the user’s query to the stored content, and retrieve more relevant, context-aware results.

Explore how to build an intelligent chatbot using MongoDB Atlas, Langchain4j and Spring Boot:

>> Building an AI Chatbot in Java With Langchain4j and MongoDB Atlas

Course – LS – NPI EA (cat=REST)

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Get started with Spring Boot and with core Spring, through the Learn Spring course:

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eBook Jackson – NPI EA – 3 (cat = Jackson)