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Azure Container Apps is a fully managed serverless container service that enables you to build and deploy modern, cloud-native Java applications and microservices at scale. It offers a simplified developer experience while providing the flexibility and portability of containers.

Of course, Azure Container Apps has really solid support for our ecosystem, from a number of build options, managed Java components, native metrics, dynamic logger, and quite a bit more.

To learn more about Java features on Azure Container Apps, visit the documentation page.

You can also ask questions and leave feedback on the Azure Container Apps GitHub page.

Partner – Microsoft – NPI EA (cat= Spring Boot)
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Azure Container Apps is a fully managed serverless container service that enables you to build and deploy modern, cloud-native Java applications and microservices at scale. It offers a simplified developer experience while providing the flexibility and portability of containers.

Of course, Azure Container Apps has really solid support for our ecosystem, from a number of build options, managed Java components, native metrics, dynamic logger, and quite a bit more.

To learn more about Java features on Azure Container Apps, you can get started over on the documentation page.

And, you can also ask questions and leave feedback on the Azure Container Apps GitHub page.

Partner – Orkes – NPI EA (cat=Spring)
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Modern software architecture is often broken. Slow delivery leads to missed opportunities, innovation is stalled due to architectural complexities, and engineering resources are exceedingly expensive.

Orkes is the leading workflow orchestration platform built to enable teams to transform the way they develop, connect, and deploy applications, microservices, AI agents, and more.

With Orkes Conductor managed through Orkes Cloud, developers can focus on building mission critical applications without worrying about infrastructure maintenance to meet goals and, simply put, taking new products live faster and reducing total cost of ownership.

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Partner – Orkes – NPI EA (tag=Microservices)
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Modern software architecture is often broken. Slow delivery leads to missed opportunities, innovation is stalled due to architectural complexities, and engineering resources are exceedingly expensive.

Orkes is the leading workflow orchestration platform built to enable teams to transform the way they develop, connect, and deploy applications, microservices, AI agents, and more.

With Orkes Conductor managed through Orkes Cloud, developers can focus on building mission critical applications without worrying about infrastructure maintenance to meet goals and, simply put, taking new products live faster and reducing total cost of ownership.

Try a 14-Day Free Trial of Orkes Conductor today.

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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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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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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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Partner – MongoDB – NPI EA (tag=MongoDB)
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Traditional keyword-based search methods rely on exact word matches, often leading to irrelevant results depending on the user's phrasing.

By comparison, using a vector store allows us to represent the data as vector embeddings, based on meaningful relationships. We can then compare the meaning of the user’s query to the stored content, and retrieve more relevant, context-aware results.

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1. Overview

In this tutorial, we are going to go over different ways of counting words in a given string using Java.

2. Using StringTokenizer

A simple way to count words in a string in Java is to use the StringTokenizer class:

assertEquals(3, new StringTokenizer("three blind mice").countTokens());
assertEquals(4, new StringTokenizer("see\thow\tthey\trun").countTokens());

Note that StringTokenizer automatically takes care of whitespace for us, like tabs and carriage returns.

But, it might goof-up in some places, like hyphens:

assertEquals(7, new StringTokenizer("the farmer's wife--she was from Albuquerque").countTokens());

In this case, we’d want “wife” and “she” to be different words, but since there’s no whitespace between them, the defaults fail us.

Fortunately, StringTokenizer ships with another constructor. We can pass a delimiter into the constructor to make the above work:

assertEquals(7, new StringTokenizer("the farmer's wife--she was from Albuquerque", " -").countTokens());

This comes in handy when trying to count the words in a string from something like a CSV file:

assertEquals(10, new StringTokenizer("did,you,ever,see,such,a,sight,in,your,life", ",").countTokens());

So, StringTokenizer is simple, and it gets us most of the way there.

Let’s see though what extra horsepower regular expressions can give us.

3. Regular Expressions

In order for us to come up with a meaningful regular expression for this task, we need to define what we consider a word: a word starts with a letter and ends either with a space character or a punctuation mark.

With this in mind, given a string, what we want to do is to split that string at every point we encounter spaces and punctuation marks, then count the resulting words.

assertEquals(7, countWordsUsingRegex("the farmer's wife--she was from Albuquerque"));

Let’s crank things up a bit to see the power of regex:

assertEquals(9, countWordsUsingRegex("no&one#should%ever-write-like,this;but:well"));

It is not practical to solve this one through just passing a delimiter to StringTokenizer since we’d have to define a really long delimiter to try and list out all possible punctuation marks.

It turns out we really don’t have to do much, passing the regex [\pP\s&&[^’]]+ to the split method of the String class will do the trick:

public static int countWordsUsingRegex(String arg) {
    if (arg == null) {
        return 0;
    }
    final String[] words = arg.split("[\pP\s&&[^']]+");
    return words.length;
}

The regex [\pP\s&&[^’]]+ finds any length of either punctuation marks or spaces and ignores the apostrophe punctuation mark.

To find out more about regular expressions, refer to Regular Expressions on Baeldung.

4. Loops and the String API

The other method is to have a flag that keeps track of the words that have been encountered.

We set the flag to WORD when encountering a new word and increment the word count, then back to SEPARATOR when we encounter a non-word (punctuation or space characters).

This approach gives us the same results we got with regular expressions:

assertEquals(9, countWordsManually("no&one#should%ever-write-like,this but   well"));

We do have to be careful with special cases where punctuation marks are not really word separators, for example:

assertEquals(6, countWordsManually("the farmer's wife--she was from Albuquerque"));

What we want here is to count “farmer’s” as one word, although the apostrophe ” ‘ ” is a punctuation mark.

In the regex version, we had the flexibility to define what doesn’t qualify as a character using the regex. But now that we are writing our own implementation, we have to define this exclusion in a separate method:

private static boolean isAllowedInWord(char charAt) {
    return charAt == '\'' || Character.isLetter(charAt);
}

So what we have done here is to allow in a word all characters and legal punctuation marks, the apostrophe in this case.

We can now use this method in our implementation:

public static int countWordsManually(String arg) {
    if (arg == null) {
        return 0;
    }
    int flag = SEPARATOR;
    int count = 0;
    int stringLength = arg.length();
    int characterCounter = 0;

    while (characterCounter < stringLength) {
        if (isAllowedInWord(arg.charAt(characterCounter)) && flag == SEPARATOR) {
            flag = WORD;
            count++;
        } else if (!isAllowedInWord(arg.charAt(characterCounter))) {
            flag = SEPARATOR;
        }
        characterCounter++;
    }
    return count;
}

The first condition marks a word when it encounters one, and increments the counter. The second condition checks if the character is not a letter, and sets the flag to SEPARATOR.

5. Conclusion

In this tutorial, we have looked at ways to count words using several approaches. We can pick any depending on our particular use-case.

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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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.

Partner – Microsoft – NPI EA (cat = Baeldung)
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Azure Container Apps is a fully managed serverless container service that enables you to build and deploy modern, cloud-native Java applications and microservices at scale. It offers a simplified developer experience while providing the flexibility and portability of containers.

Of course, Azure Container Apps has really solid support for our ecosystem, from a number of build options, managed Java components, native metrics, dynamic logger, and quite a bit more.

To learn more about Java features on Azure Container Apps, visit the documentation page.

You can also ask questions and leave feedback on the Azure Container Apps GitHub page.

Partner – Microsoft – NPI EA (cat = Spring Boot)
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Azure Container Apps is a fully managed serverless container service that enables you to build and deploy modern, cloud-native Java applications and microservices at scale. It offers a simplified developer experience while providing the flexibility and portability of containers.

Of course, Azure Container Apps has really solid support for our ecosystem, from a number of build options, managed Java components, native metrics, dynamic logger, and quite a bit more.

To learn more about Java features on Azure Container Apps, visit the documentation page.

You can also ask questions and leave feedback on the Azure Container Apps GitHub page.

Partner – Orkes – NPI EA (cat = Spring)
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Modern software architecture is often broken. Slow delivery leads to missed opportunities, innovation is stalled due to architectural complexities, and engineering resources are exceedingly expensive.

Orkes is the leading workflow orchestration platform built to enable teams to transform the way they develop, connect, and deploy applications, microservices, AI agents, and more.

With Orkes Conductor managed through Orkes Cloud, developers can focus on building mission critical applications without worrying about infrastructure maintenance to meet goals and, simply put, taking new products live faster and reducing total cost of ownership.

Try a 14-Day Free Trial of Orkes Conductor today.

Partner – Orkes – NPI EA (tag = Microservices)
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Modern software architecture is often broken. Slow delivery leads to missed opportunities, innovation is stalled due to architectural complexities, and engineering resources are exceedingly expensive.

Orkes is the leading workflow orchestration platform built to enable teams to transform the way they develop, connect, and deploy applications, microservices, AI agents, and more.

With Orkes Conductor managed through Orkes Cloud, developers can focus on building mission critical applications without worrying about infrastructure maintenance to meet goals and, simply put, taking new products live faster and reducing total cost of ownership.

Try a 14-Day Free Trial of Orkes Conductor today.

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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Partner – MongoDB – NPI EA (tag=MongoDB)
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Traditional keyword-based search methods rely on exact word matches, often leading to irrelevant results depending on the user's phrasing.

By comparison, using a vector store allows us to represent the data as vector embeddings, based on meaningful relationships. We can then compare the meaning of the user’s query to the stored content, and retrieve more relevant, context-aware results.

Explore how to build an intelligent chatbot using MongoDB Atlas, Langchain4j and Spring Boot:

>> Building an AI Chatbot in Java With Langchain4j and MongoDB Atlas

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