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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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eBook – Persistence – NPI EA (cat=Persistence)
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Course – LS – NPI EA (cat=Jackson)
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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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Partner – Moderne – NPI EA (cat=Spring Boot)
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Refactor Java code safely — and automatically — with OpenRewrite.

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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

We may wish to process a telephone number expressed as text. Perhaps we have received a telephone number via a speech-to-text interface.

In this tutorial, we’ll look at an algorithm for processing a sequence of words expressing a numeric sequence and converting it to a string of digits.

2. Introduction to Problem Statement

Let’s look a little deeper at the format of the input. We’ll be given a phone number in words, such as “five six eight”. However, it’s common for spoken numbers to include multipliers, such as “double two”.

So, we expect our algorithm to convert:

Input: "triple five two three six eight"
Expected Output: "5552368"

3. Implementing the Algorithm with switch Statements

The algorithm splits the input into words and processes each to build the output. We can classify the words using switch statements.

3.1. Split String into Words Array

First, we need to use the String.split() method to split the phoneNumberInWords string into an array of words using a space as the delimiter:

String[] words = phoneNumberInWords.split(" ");

We can then use a for-each loop to iterate over the words array:

for (String word : words) {
    // statements
}

3.2. Handle Multipliers

In each iteration of the for-each loop, we will check if the current word represents a multiplier:

Integer multiplier = getWordAsMultiplier(word);
if (multiplier != null) {
    if (currentMultiplier != null) {
        throw new IllegalArgumentException("Cannot have consecutive multipliers, at: " + word);
    }
    currentMultiplier = multiplier;
}

We invoke the getWordAsMultiplier() method by passing the current word as an argument. This method maps the current word to its corresponding numerical representation and returns it.

If the returned value is not null, indicating the current word is indeed a multiplier, we check if there is already a multiplier set. If there is, we throw an IllegalArgumentException because consecutive multipliers are not allowed. Otherwise, we set the current multiplier.

To identify whether a word is a multiplier, we use a switch statement inside getWordAsMultiplier():

public static Integer getWordAsMultiplier(String word) {
    switch (word) {
        case "double":
            return 2;
        case "triple":
            return 3;
         case "quadruple":
            return 4;
         default:
            return null;
    }
}

It’s not an error if the current word isn’t a multiplier, so this method returns null in that instance.

3.3. Handle Non-multiplier Word

If the current word isn’t a multiplier word, we call the getWordAsDigit() method:

public static String getWordAsDigit(String word) {
    switch (word) {
        case "zero":
            return "0";
        case "one":
            return "1";
        ...
        ...
        ...
        case "nine":
            return "9";
        default:
            throw new IllegalArgumentException("Invalid word: " + word);
    }
}

This will be called in the else statement of the if where we check for a multiplier word. As a word must be either a multiplier or a digit, this function should throw an exception if we call it with a non-digit number. Here, we’ve used IllegalArgumentException.

3.4. Assembling Digits

Let’s use the getWordAsDigit() method. In the multiplier processing code, we’ve captured any duplication of digits, so now we’re going to find the current digit and add it to the output as many times as necessary.

We’ll use a StringBuilder object called output to store our results.

We use the append() method to assemble the output. However, the String.repeat() method tracks the multiplier. We repeat the obtained digit representation of the current word based on the current multiplier:

if (multiplier != null) {
    // multiplier processing
} else {
   output.append(getWordAsDigit(word)
     .repeat(currentMultiplier != null ? currentMultiplier : 1));
   currentMultiplier = null;
}

We use StringBuilder.append() to add the next set of digits to the output.

If the current multiplier is not null, we use it to provide copies of the next digit, using String.repeat(), defaulting to a repeat of 1 when there is no multiplier.

At the end of the loop, the output object contains our phone number:

return output.toString();

3.5. Test Solution

Let’s see what happens when a correct phone number, invalid word, or consecutive multipliers are given:

assertEquals("5248888", 
  UseSwitchToConvertPhoneNumberInWordToNumber 
    .convertPhoneNumberInWordToNumber("five two four quadruple eight"));

assertThrows(IllegalArgumentException.class, () -> {
    UseSwitchToConvertPhoneNumberInWordToNumber
      .convertPhoneNumberInWordToNumber("five eight invalid two four null eight");
});

assertThrows(IllegalArgumentException.class, () -> {
    UseSwitchToConvertPhoneNumberInWordToNumber
      .convertPhoneNumberInWordToNumber("five eight three double triple");
});

4. Using Map Instead of switch

Our algorithm works well, but switch statements can be a little long-winded. We can replace them with Map objects.

The Map.of() method creates an immutable Map with the provided key-value pairs. In this section, we’ll use the Map.of() method to map multipliers (“double” to 2) and digits (“two” to “2”).

4.1. Map Digits and Multipliers

Let’s initialize the Map to create mappings for individual digits:

private static Map<String, Integer> multipliers 
  = Map.of("double", 2, "triple", 3, "quadruple", 4);

Next, we initialize another Map to map multipliers:

private static Map<String, String> digits 
  = Map.of("zero", "1", "one", "1", "two", "2", "three", "3",
    "four", "4", "five", "5", "six", "6", "seven", "7", "eight", "8", "nine", "9");

We initialize them as immutable because the algorithm would stop working if the Map could change at runtime.

4.2. Check Multiplier

As before, inside the loop, we want to find a multiplier or null. We can use the get() method on multipliers:

Integer multiplier = multipliers.get(word);

4.3. Check Digits

To replicate the exception, when a word is not a digit, we need an additional if statement after the get() on digits:

String digit = digits.get(word);

if (digit == null) {
    throw new IllegalArgumentException("Invalid word: " + word);
}

4.4. Test Solution

We can run the same tests on this solution, such as:

assertEquals("5248888",
  UseHashMapToConvertPhoneNumberInWordsToNumber
    .convertPhoneNumberInWordToNumber("five two four quadruple eight"));

5. Conclusion

In this article, we looked at an algorithm for processing telephone numbers.

We implemented the basic algorithm using switch statements. Then, we optimized the implementation using Java Map.

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.

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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.

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