eBook – Guide Spring Cloud – NPI EA (cat=Spring Cloud)
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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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Do JSON right with Jackson

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eBook – HTTP Client – NPI EA (cat=Http Client-Side)
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Get the most out of the Apache HTTP Client

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eBook – Maven – NPI EA (cat = Maven)
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Get Started with Apache Maven:

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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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Building a REST API with Spring?

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Course – LS – NPI EA (cat=Jackson)
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Get started with Spring and Spring Boot, through the Learn Spring course:

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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.

Each month, the creators and maintainers of OpenRewrite at Moderne run live, hands-on training sessions — one for newcomers and one for experienced users. You’ll see how recipes work, how to apply them across projects, and how to modernize code with confidence.

Join the next session, bring your questions, and learn how to automate the kind of work that usually eats your sprint time.

Course – LJB – NPI EA (cat = Core Java)
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Code your way through and build up a solid, practical foundation of Java:

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Partner – Diagrid – NPI EA (cat= Testing)
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In distributed systems, managing multi-step processes (e.g., validating a driver, calculating fares, notifying users) can be difficult. We need to manage state, scattered retry logic, and maintain context when services fail.

Dapr Workflows solves this via Durable Execution which includes automatic state persistence, replaying workflows after failures and built-in resilience through retries, timeouts and error handling.

In this tutorial, we'll see how to orchestrate a multi-step flow for a ride-hailing application by integrating Dapr Workflows and Spring Boot:

>> Dapr Workflows With PubSub

1. Overview

By default, the MongoDB engine considers character case when sorting extracted data. It’s possible to execute case insensitive sorting queries by specifying Aggregations or Collations.

In this short tutorial, we’ll look at the two solutions using both MongoDB Shell and Java.

2. Setting up an Environment

First of all, we need to run a MongoDB server. Let’s use a Docker image:

$ docker run -d -p 27017:27017 --name example-mongo mongo:latest

This will create a new temporary Docker container named “example-mongo” exposing port 27017. Now, we need to create a basic Mongo database with the data we need to test the solution.

First, let’s open a Mongo Shell inside the container:

$ docker exec -it example-mongo mongosh

Once we’re in the shell, let’s switch the context and enter the database named “sorting“:

> use sorting

Finally, let’s insert some data for us to try with our sort operations:

> db.users.insertMany([
  {name: "ben", surname: "ThisField" },
  {name: "aen", surname: "Does" },
  {name: "Aen", surname: "Not" },
  {name: "Ben", surname: "Matter" },
])

We’ve inserted similar values in some of the documents’ name fields. The only difference is the case of the first letter. At this point, the database is created and data inserted appropriately, so we’re ready for action.

3. Default Sorting

Let’s run the standard query without customization:

> db.getCollection('users').find({}).sort({name:1})

The data returned will be ordered considering the case. This means, for example, that the uppercase character “B” will be considered before the lowercase character “a”:

[
  {
    _id: ..., name: 'Aen', surname: 'Not'
  },
  {
    _id: ..., name: 'Ben', surname: 'Matter'
  },
  {
    _id: ..., name: 'aen', surname: 'Does'
  },
  {
    _id: ..., name: 'ben', surname: 'ThisField'
  }
]

Let’s now look at how we can make our sorts case-insensitive so that Ben and ben would appear together.

4. Case Insensitive Sorting in Mongo Shell

4.1. Sorting Using Collation

Let’s try using MongoDB Collation. Only available in MongoDB 3.4 and subsequent versions, it enables language-specific rules for string comparison.

The Collation ICU locale parameter drives how the database does sorting. Let’s use the “en” (English) locale:

> db.getCollection('users').find({}).collation({locale: "en"}).sort({name:1})

This produces output where the names are clustered by letter:

[
  {
    _id: ..., name: 'aen', surname: 'Does'
  },
  {
    _id: ..., name: 'Aen', surname: 'Not'
  },
  {
    _id: ..., name: 'ben', surname: 'ThisField'
  },
  {
    _id: ..., name: 'Ben', surname: 'Matter'
  }
]

4.2. Sorting Using Aggregation

Let’s now use the Aggregation function:

> db.getCollection('users').aggregate([{
        "$project": {
            "name": 1,
            "surname": 1,
            "lowerName": {
                "$toLower": "$name"
            }
        }
    },
    {
        "$sort": {
            "lowerName": 1
        }
    }
])

Using the $project functionality, we add a lowerName field as the lowercase version of the name field. This allows us to sort using that field. It’ll give us a result object with an additional field, in the desired sort order:

[
  {
    _id: ..., name: 'aen', surname: 'Does', lowerName: 'aen'
  },
  {
    _id: ..., name: 'Aen', surname: 'Not', lowerName: 'aen'
  },
  {
    _id: ..., name: 'ben', surname: 'ThisField', lowerName: 'ben'
  },
  {
    _id: ..., name: 'Ben', surname: 'Matter', lowerName: 'ben'
  }
]

5. Case Insensitive Sorting with Java

Let’s try to implement the same methods in Java.

5.1. Configuration Boilerplate Code

Let’s first add the mongo-java-driver dependency:

<dependency>
    <groupId>org.mongodb</groupId>
    <artifactId>mongo-java-driver</artifactId>
    <version>3.12.10</version>
</dependency>

Then, let’s connect using the MongoClient:

MongoClient mongoClient = new MongoClient();
MongoDatabase db = mongoClient.getDatabase("sorting");
MongoCollection<Document> collection = db.getCollection("users");

5.2. Sorting Using Collation in Java

Let’s see how it’s possible to implement the “Collation” solution in Java:

FindIterable<Document> nameDoc = collection.find().sort(ascending("name"))
  .collation(Collation.builder().locale("en").build());

Here, we built the collation using the “en” locale. Then, we passed the created Collation object to the collation method of the FindIterable object.

Next, let’s read the results one by one using the MongoCursor:

MongoCursor cursor = nameDoc.cursor();
List expectedNamesOrdering = Arrays.asList("aen", "Aen", "ben", "Ben", "cen", "Cen");
List actualNamesOrdering = new ArrayList<>();
while (cursor.hasNext()) {
    Document document = cursor.next();
    actualNamesOrdering.add(document.get("name").toString());
}
assertEquals(expectedNamesOrdering, actualNamesOrdering);

5.3. Sorting Using Aggregations in Java

We can also sort the collection using Aggregation. Let’s recreate our command-line version using the Java API.

First, we rely on the project method to create a Bson object. This object will also include the lowerName field that is computed by transforming every character of the name into lowercase using the Projections class:

Bson projectBson = project(
  Projections.fields(
    Projections.include("name","surname"),
    Projections.computed("lowerName", Projections.computed("$toLower", "$name"))));

Next, we feed the aggregate method with a list containing the Bson of the previous snippet and the sort method:

AggregateIterable<Document> nameDoc = collection.aggregate(
  Arrays.asList(projectBson,
  sort(Sorts.ascending("lowerName"))));

In this case, as in the previous one, we could easily read the results using the MongoCursor.

6. Conclusion

In this article, we’ve seen how to perform a simple case-insensitive sorting of a MongoDB collection.

We used Aggregation and Collation methods in the MongoDB shell. In the end, we translated those queries and provided a simple Java implementation using the mongo-java-driver library.

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.

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:

>> Download the eBook

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:

>> Join Pro and download the eBook

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

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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)