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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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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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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 this tutorial, we’ll show how to parse a stream of characters into tokens using the Java StreamTokenizer class.

2. StreamTokenizer

The StreamTokenizer class reads the stream character by character. Each of them can have zero or more of the following attributes: white space, alphabetic, numeric, string quote or comment character.

Now, we need to understand the default configuration. We have the following types of characters:

  • Word characters: ranges like ‘a’ to ‘z’ and ‘A’ to ‘Z
  • Numeric characters: 0,1,…,9
  • Whitespace characters: ASCII values from 0 to 32
  • Comment character: /
  • String quote characters: ‘ and “

Note that the ends of lines are treated as whitespaces, not as separate tokens, and the C/C++-style comments are not recognized by default.

This class possesses a set of important fields:

  • TT_EOF – A constant indicating the end of the stream
  • TT_EOL – A constant indicating the end of the line
  • TT_NUMBER – A constant indicating a number token
  • TT_WORD – A constant indicating a word token

3. Default Configuration

Here, we’re going to create an example in order to understand the StreamTokenizer mechanism. We’ll start by creating an instance of this class and then call the nextToken() method until it returns the TT_EOF value:

private static final int QUOTE_CHARACTER = '\'';
private static final int DOUBLE_QUOTE_CHARACTER = '"';

public static List<Object> streamTokenizerWithDefaultConfiguration(Reader reader) throws IOException {
    StreamTokenizer streamTokenizer = new StreamTokenizer(reader);
    List<Object> tokens = new ArrayList<Object>();

    int currentToken = streamTokenizer.nextToken();
    while (currentToken != StreamTokenizer.TT_EOF) {

        if (streamTokenizer.ttype == StreamTokenizer.TT_NUMBER) {
            tokens.add(streamTokenizer.nval);
        } else if (streamTokenizer.ttype == StreamTokenizer.TT_WORD
            || streamTokenizer.ttype == QUOTE_CHARACTER
            || streamTokenizer.ttype == DOUBLE_QUOTE_CHARACTER) {
            tokens.add(streamTokenizer.sval);
        } else {
            tokens.add((char) currentToken);
        }

        currentToken = streamTokenizer.nextToken();
    }

    return tokens;
}

The test file simply contains:

3 quick brown foxes jump over the "lazy" dog!
#test1
//test2

Now, if we printed out the contents of the array, we’d see:

Number: 3.0
Word: quick
Word: brown
Word: foxes
Word: jump
Word: over
Word: the
Word: lazy
Word: dog
Ordinary char: !
Ordinary char: #
Word: test1

In order to better understand the example, we need to explain the StreamTokenizer.ttype, StreamTokenizer.nval and StreamTokenizer.sval fields.

The ttype field contains the type of the token just read. It could be TT_EOF, TT_EOL, TT_NUMBER, TT_WORD. However, for a quoted string token, its value is the ASCII value of the quote character. Moreover, if the token is an ordinary character like ‘!’, with no attributes, then the ttype will be populated with the ASCII value of that character.

Next, we’re using sval field to get the token, only if it’s a TT_WORD, that is, a word token. But, if we’re dealing with a quoted string token – say “lazy” – then this field contains the body of the string.

Last, we’ve used the nval field to get the token, only if it’s a number token, using TT_NUMBER.

4. Custom Configuration

Here, we’ll change the default configuration and create another example.

First, we’re going to set some extra word characters using the wordChars(int low, int hi) method. Then, we’ll make the comment character (‘/’) an ordinary one and promote ‘#’ as the new comment character.

Finally, we’ll consider the end of the line as a token character with the help of the eolIsSignificant(boolean flag) method.

We only need to call these methods on the streamTokenizer object:

public static List<Object> streamTokenizerWithCustomConfiguration(Reader reader) throws IOException {
    StreamTokenizer streamTokenizer = new StreamTokenizer(reader);
    List<Object> tokens = new ArrayList<Object>();

    streamTokenizer.wordChars('!', '-');
    streamTokenizer.ordinaryChar('/');
    streamTokenizer.commentChar('#');
    streamTokenizer.eolIsSignificant(true);

    // same as before

    return tokens;
}

And here we have a new output:

// same output as earlier
Word: "lazy"
Word: dog!
Ordinary char: 

Ordinary char: 

Ordinary char: /
Ordinary char: /
Word: test2

Note that the double quotes became part of the token, the newline character is not a whitespace character anymore, but an ordinary character, and therefore a single-character token.

Also, the characters following the ‘#’ character are now skipped and the ‘/’ is an ordinary character.

We could also change the quote character with the quoteChar(int ch) method or even the whitespace characters by calling whitespaceChars(int low, int hi) method. Thus, further customizations can be made calling StreamTokenizer‘s methods in different combinations.

5. Conclusion

In this tutorial, we’ve seen how to parse a stream of characters into tokens using the StreamTokenizer class. We’ve learned about the default mechanism and created an example with the default configuration.

Finally, we’ve changed the default parameters and we’ve noticed how flexible the StreamTokenizer class is.

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:

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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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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.

Course – LS – NPI (cat=Java)
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eBook Jackson – NPI EA – 3 (cat = Jackson)