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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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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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Course – LS – NPI EA (cat=Jackson)
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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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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.

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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:

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1. Overview

In this tutorial, we’ll learn about the ON CONFLICT clause for insert queries introduced in Hibernate 6.5.

We use an ON CONFLICT clause to handle table constraint violations while inserting the data using HQL or criteria queries. The ON CONFLICT clause can also be used to handle upsert queries.

To learn more about insert queries in Hibernate, check out our tutorial on how to perform an INSERT statement on JPA objects.

2. ON CONFLICT Clause

The syntax for an insert using the ON CONFLICT clause is:

"INSERT" "INTO"? targetEntity targetFields (queryExpression | valuesList) conflictClause?

The conflictClause is written as:

"on conflict" conflictTarget? conflictAction

And the conflictAction is either DO NOTHING or DO UPDATE.

Now, let’s go through an example. Let’s consider the entity class Student having studentId and name as attributes:

@Entity
public class Student {
    @Id
    private long studentId;
    private String name;
}

The studentId attribute is a unique key for the Student entity. We can either insert the @Id value in the INSERT VALUES query or use the @GeneratedValue annotation.

Reacting to conflicts can be based on either the name or the list of attributes that form the unique constraint. Using the unique constraint name as a conflict target requires either native database support or that the statement is a single-row insert.

Possible conflict actions are to ignore the conflict or update conflicting objects/rows:

int updated = session.createMutationQuery("""
  insert into Student (studentId, name)
  values (1, 'John')
  on conflict(studentId) do update
  set name = excluded.name
  """).executeUpdate();

Here, if a conflict occurs by inserting a row with the same studentId as an existing row, then the existing row is updated. The special alias excluded is available in the update set clause of the ON CONFLICT clause and refers to the values that failed insertion due to a unique constraint conflict.

Hibernate translates the query with ON CONFLICT clause to a merge query:

MERGE INTO Student s1_0
USING (VALUES (1, 'John')) excluded(studentId, NAME)
ON ( s1_0.studentId = excluded.studentId)
WHEN matched THEN
  UPDATE SET NAME = excluded.NAME
WHEN NOT matched THEN
  INSERT (studentId,
          NAME)
  VALUES (excluded.studentId,
          excluded.NAME) 

The ON CONFLICT clause is translated to an upsert query using the excluded feature. The query excludes the original record with alias p1_0 and inserts the new record. If the studentId (conflicting attribute) matches, then we update the attributes other than the studentIdIf it doesn’t match, then we perform an insert operation.

We use DO NOTHING to ignore the conflicts, ensuring nothing happens in case of a conflict and averting potential errors:

int updated = session.createMutationQuery("""
  insert into Student (studentId, name)
  values (1, 'John')
  on conflict(studentId) do nothing
  """).executeUpdate();

Here, if the table already contains a row with studentId 1, Hibernate ignores the query and averts an exception.

3. Examples

3.1. DO UPDATE

We’ve added some test cases to get a better understanding of the ON CONFLICT clause. We insert non-conflicting data with conflict action do update:

long rowCountBefore = getRowCount();
int updated = session.createMutationQuery("""
  insert into Student (studentId, name) values (2, 'Sean')
  on conflict(studentId) do update
  set name = excluded.name
  """).executeUpdate();
long rowCountAfter = getRowCount();
assertEquals(updated, 1);
assertEquals(rowCountBefore, rowCountAfter);

The inserted data is non-conflicting and inserted in the database. Hibernate ignores the ON CONFLICT clause when there is no conflict, and the query execution returns update value 1. The row count changes after the execution of the statement, indicating that the query inserts a row in the table.

Now, let’s see a test case where we insert conflicting data with conflict action do update:

long rowCountBefore = getRowCount();
int updated = session.createMutationQuery("""
  insert into Student (studentId, name) values (1, 'Sean')
  on conflict(studentId) do update
  set name = excluded.name
  """).executeUpdate();
long rowCountAfter = getRowCount();
assertEquals(updated, 1);
assertEquals(rowCountBefore, rowCountAfter);

In this test case, the query inserts a record with studentId 1. The table already has a row with studentId 1. If the query is executed, it normally throws a ConstraintViolationException as studentId is a unique constraint. We handle this exception using the ON CONFLICT clause. Instead of getting an exception, the specified conflict action, do update updates specified data.

The line set name = excluded.name updates the name field. The keyword excluded comes with conflict action do nothing. We can update all fields except the conflicting field using the excluded keyword.

3.2. DO NOTHING

Now let’s see what happens when we insert non-conflicting data with the ON CONFLICT clause and conflict action set to do nothing:

long rowCountBefore = getRowCount();
int updated = session.createMutationQuery("""
  insert into Student (studentId, name) values (2, 'Sean')
  on conflict do nothing 
  """).executeUpdate();
long rowCountAfter = getRowCount();
assertEquals(updated, 1);
assertNotEquals(rowCountBefore, rowCountAfter);

We observe that there’s no conflict while inserting the data record into the database. The query returns 1 as an updated value. The query execution increases the number of rows in the table by 1.

Let’s see a case where we insert conflicting data and use the ON CONFLICT clause with the do nothing action:

long rowCountBefore = getRowCount();
int updated = session.createMutationQuery("""
  insert into Student (studentId, name) values (1, 'Sean')
  on conflict do nothing 
  """).executeUpdate();
long rowCountAfter = getRowCount();
assertEquals(updated, 0);
assertEquals(rowCountBefore, rowCountAfter);

Here, the record inserted has studentId 1, and it causes conflict when the query is executed. Since we’ve used do nothing action, it performs no action in case of a conflict. Query execution returns an update value of 0 without updating any record. Also, the number of rows before and after query execution remains the same.

4. Conclusion

In this article, we’ve learned about the ON CONFLICT clause introduced in Hibernate 6.5. We also went through examples to get a better understanding of the ON CONFLICT clause.

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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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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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.

Course – LSD – NPI (cat=JPA)
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eBook Jackson – NPI EA – 3 (cat = Jackson)