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eBook – Mockito – NPI EA (tag = Mockito)
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Mocking is an essential part of unit testing, and the Mockito library makes it easy to write clean and intuitive unit tests for your Java code.

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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.

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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.

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 – Jackson – NPI EA (cat=Jackson)
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eBook – Persistence – NPI EA (cat=Persistence)
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eBook – RwS – NPI EA (cat=Spring MVC)
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Course – LS – NPI EA (cat=Jackson)
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Course – RWSB – NPI EA (cat=REST)
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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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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 Hibernate, we can represent one-to-many relationships in our Java beans by having one of our fields be a List.

In this quick tutorial, we’ll explore various ways of doing this with a Map instead.

2. Maps Are Different from Lists

Using a Map to represent a one-to-many relationship is different from a List because we have a key.

This key turns our entity relationship into a ternary association, where each key refers to a simple value or an embeddable object or an entity. Because of this, to use a Map, we’ll always need a join table to store the foreign key that references the parent entity – the key, and the value.

But this join table will be a bit different from other join tables in that the primary key won’t necessarily be foreign keys to the parent and the target. Instead, we’ll have the primary key be a composite of a foreign key to the parent and a column that is the key to our Map.

The key-value pair in the Map may be of two types: Value Type and Entity Type. In the following sections, we’ll look at the ways to represent these associations in Hibernate.

3. Using @MapKeyColumn

Let’s say we have an Order entity and we want to keep track of name and price of all the items in an order. So, we want to introduce a Map<String, Double> to Order which will map the item’s name to its price:

@Entity
@Table(name = "orders")
public class Order {
    @Id
    @GeneratedValue
    @Column(name = "id")
    private int id;

    @ElementCollection
    @CollectionTable(name = "order_item_mapping", 
      joinColumns = {@JoinColumn(name = "order_id", referencedColumnName = "id")})
    @MapKeyColumn(name = "item_name")
    @Column(name = "price")
    private Map<String, Double> itemPriceMap;

    // standard getters and setters
}

We need to indicate to Hibernate where to get the key and the value. For the key, we’ve used @MapKeyColumn, indicating that the Map‘s key is the item_name column of our join table, order_item_mapping. Similarly, @Column specifies that the Map’s value corresponds to the price column of the join table.

Also, itemPriceMap object is a value type map, thus we must use the @ElementCollection annotation.

In addition to basic value type objects, @Embeddable objects can also be used as the Map‘s values in a similar fashion.

4. Using @MapKey

As we all know, requirements changes over time — so, now, let’s say we need to store some more attributes of Item along with itemName and itemPrice:

@Entity
@Table(name = "item")
public class Item {
    @Id
    @GeneratedValue
    @Column(name = "id")
    private int id;

    @Column(name = "name")
    private String itemName;

    @Column(name = "price")
    private double itemPrice;

    @Column(name = "item_type")
    @Enumerated(EnumType.STRING)
    private ItemType itemType;

    @Temporal(TemporalType.TIMESTAMP)
    @Column(name = "created_on")
    private Date createdOn;
   
    // standard getters and setters
}

Accordingly, let’s change Map<String, Double> to Map<String, Item> in the Order entity class:

@Entity
@Table(name = "orders")
public class Order {
    @Id
    @GeneratedValue
    @Column(name = "id")
    private int id;

    @OneToMany(cascade = CascadeType.ALL)
    @JoinTable(name = "order_item_mapping", 
      joinColumns = {@JoinColumn(name = "order_id", referencedColumnName = "id")},
      inverseJoinColumns = {@JoinColumn(name = "item_id", referencedColumnName = "id")})
    @MapKey(name = "itemName")
    private Map<String, Item> itemMap;

}

Note that this time, we’ll use the @MapKey annotation so that Hibernate will use Item#itemName as the map key column instead of introducing an additional column in the join table. So, in this case, the join table order_item_mapping doesn’t have a key column — instead, it refers to the Item‘s name.

This is in contrast to @MapKeyColumn. When we use @MapKeyColumn, the map key resides in the join table. This is the reason why we can’t define our entity mapping using both the annotations in conjunction.

Also, itemMap is an entity type map, therefore we have to annotate the relationship using @OneToMany or @ManyToMany.

5. Using @MapKeyEnumerated and @MapKeyTemporal

Whenever we specify an enum as the Map key, we use @MapKeyEnumerated. Similarly, for temporal values, @MapKeyTemporal is used. The behavior is quite similar to the standard @Enumerated and @Temporal annotations respectively.

By default, these are similar to @MapKeyColumn in that a key column will be created in the join table. If we want to reuse the value already stored in the persisted entity, we should additionally mark the field with @MapKey.

6. Using @MapKeyJoinColumn

Next, let’s say we also need to keep track of the seller of each item. One way we might do this is to add a Seller entity and tie that to our Item entity:

@Entity
@Table(name = "seller")
public class Seller {

    @Id
    @GeneratedValue
    @Column(name = "id")
    private int id;

    @Column(name = "name")
    private String sellerName;
   
    // standard getters and setters

}
@Entity
@Table(name = "item")
public class Item {
    @Id
    @GeneratedValue
    @Column(name = "id")
    private int id;

    @Column(name = "name")
    private String itemName;

    @Column(name = "price")
    private double itemPrice;

    @Column(name = "item_type")
    @Enumerated(EnumType.STRING)
    private ItemType itemType;

    @Temporal(TemporalType.TIMESTAMP)
    @Column(name = "created_on")
    private Date createdOn;

    @ManyToOne(cascade = CascadeType.ALL)
    @JoinColumn(name = "seller_id")
    private Seller seller;
 
    // standard getters and setters
}

In this case, let’s assume our use-case is to group all Order‘s Items by Seller. Hence, let’s change Map<String, Item> to Map<Seller, Item>:

@Entity
@Table(name = "orders")
public class Order {
    @Id
    @GeneratedValue
    @Column(name = "id")
    private int id;

    @OneToMany(cascade = CascadeType.ALL)
    @JoinTable(name = "order_item_mapping", 
      joinColumns = {@JoinColumn(name = "order_id", referencedColumnName = "id")},
      inverseJoinColumns = {@JoinColumn(name = "item_id", referencedColumnName = "id")})
    @MapKeyJoinColumn(name = "seller_id")
    private Map<Seller, Item> sellerItemMap;

    // standard getters and setters

}

We need to add @MapKeyJoinColumn to achieve this since that annotation allows Hibernate to keep the seller_id column (the map key) in the join table order_item_mapping along with the item_id column. So then, at the time of reading the data from the database, we can perform a GROUP BY operation easily.

7. Conclusion

In this article, we learned about the several ways of persisting Map in Hibernate depending upon the required mapping.

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

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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Working on getting your persistence layer right with Spring?

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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.

The monthly training series, led by the creators and maintainers of OpenRewrite at Moderne, walks through real-world migrations and modernization patterns. Whether you’re new to recipes or ready to write your own, you’ll learn practical ways to refactor safely and at scale.

If you’ve ever wished refactoring felt as natural — and as fast — as writing code, this is a good place to start.

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