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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.

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.

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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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Explore Spring Boot 3 and Spring 6 in-depth through building a full REST API with the framework:

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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.

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End-to-end testing is a very useful method to make sure that your application works as intended. This highlights issues in the overall functionality of the software, that the unit and integration test stages may miss.

Playwright is an easy-to-use, but powerful tool that automates end-to-end testing, and supports all modern browsers and platforms.

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1. Introduction

In this short tutorial, we’ll take a look at different FetchMode values we can use in the @org.hibernate.annotations.Fetch annotation.

2. Setting up the Example

As an example, we’ll use the following Customer entity with just two properties – an id and a set of orders:

@Entity
public class Customer {

    @Id
    @GeneratedValue
    private Long id;

    @OneToMany(mappedBy = "customer")
    @Fetch(value = FetchMode.SELECT)
    private Set<Order> orders = new HashSet<>();

    // getters and setters
}

Also, we’ll create an Order entity consisting of an id, a name and a reference to the Customer.

@Entity
public class Order {

    @Id
    @GeneratedValue
    private Long id;

    private String name;

    @ManyToOne
    @JoinColumn(name = "customer_id")
    private Customer customer;

    // getters and setters
}

In each of the next sections, we’ll fetch the customer from the database and get all of its orders:

Customer customer = customerRepository.findById(id).get();
Set<Order> orders = customer.getOrders();

3. FetchMode.SELECT

On our Customer entity, we’ve annotated the orders property with a @Fetch annotation:

@OneToMany
@Fetch(FetchMode.SELECT)
private Set<Orders> orders;

We use @Fetch to describe how Hibernate should retrieve the property when we lookup a Customer.

Using SELECT indicates that the property should be loaded lazily.

This means that for the first line:

Customer customer = customerRepository.findById(id).get();

We won’t see a join with the orders table:

Hibernate: 
    select ...from customer
    where customer0_.id=?

And that for the next line:

Set<Order> orders = customer.getOrders();

We’ll see subsequent queries for the related orders:

Hibernate: 
    select ...from order
    where order0_.customer_id=?

The Hibernate FetchMode.SELECT generates a separate query for each Order that needs to be loaded.

In our example, that gives one query to load the Customers and five additional queries to load the orders collection.

This is known as the n + 1 select problem. Executing one query will trigger n additional queries.

3.1. @BatchSize

FetchMode.SELECT has an optional configuration annotation using the @BatchSize annotation:

@OneToMany
@Fetch(FetchMode.SELECT)
@BatchSize(size=10)
private Set<Orders> orders;

Hibernate will try to load the orders collection in batches defined by the size parameter.

In our example, we have just five orders so one query is enough.

We’ll still use the same query:

Hibernate:
    select ...from order
    where order0_.customer_id=?

But it will only be run once. Now we have just two queries: One to load the Customer and one to load the orders collection.

4. FetchMode.JOIN

While FetchMode.SELECT loads relations lazily, FetchMode.JOIN loads them eagerly, say via a join:

@OneToMany
@Fetch(FetchMode.JOIN)
private Set<Orders> orders;

This results in just one query for both the Customer and their Orders:

Hibernate: 
    select ...
    from
        customer customer0_ 
    left outer join
        order order1 
            on customer.id=order.customer_id 
    where
        customer.id=?

5. FetchMode.SUBSELECT

Because the orders property is a collection, we could also use FetchMode.SUBSELECT:

@OneToMany
@Fetch(FetchMode.SUBSELECT)
private Set<Orders> orders;

We can only use SUBSELECT with collections.

With this setup, we go back to one query for the Customer:

Hibernate: 
    select ...
    from customer customer0_

And one query for the Orders, using a sub-select this time:

Hibernate: 
    select ...
    from
        order order0_ 
    where
        order0_.customer_id in (
            select
                customer0_.id 
            from
                customer customer0_
        )

6. FetchMode vs. FetchType

In general, FetchMode defines how Hibernate will fetch the data (by select, join or subselect). FetchType, on the other hand, defines whether Hibernate will load data eagerly or lazily.

The exact rules between these two are as follows:

  • if the code doesn’t set FetchMode, the default one is JOIN and FetchType works as defined
  • with FetchMode.SELECT or FetchMode.SUBSELECT set, FetchType also works as defined
  • with FetchMode.JOIN set, FetchType is ignored and a query is always eager

For further information please refer to Eager/Lazy Loading In Hibernate.

7. Conclusion

In this tutorial, we’ve learned about FetchMode‘s different values and also how they are related to FetchType.

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

>> Explore a clean Baeldung

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

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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