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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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eBook – Persistence – NPI EA (cat=Persistence)
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Course – LS – NPI EA (cat=Jackson)
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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. Overview

Using a Base64 encoded string is a widely adopted method for storing Universally Unique Identifiers (UUIDs). This provides a more compact result compared to the standard UUID string representation. In this article, we’ll explore various approaches for encoding UUIDs as Base64 strings.

2.  Encode using byte[] and Base64.Encoder

We’ll start with the most straightforward approach to encoding by using byte[] and Base64.Encoder.

2.1. Encoding

We’ll create an array of bytes from our UUID bits. For this purpose, we’ll take the most significant bits and least significant bits from our UUID and place them in our array at positions 0-7 and 8-15, respectively:

byte[] convertToByteArray(UUID uuid) {
    byte[] result = new byte[16];

    long mostSignificantBits = uuid.getMostSignificantBits();
    fillByteArray(0, 8, result, mostSignificantBits);

    long leastSignificantBits = uuid.getLeastSignificantBits();
    fillByteArray(8, 16, result, leastSignificantBits);

    return result;
}

In the filling method, we move bits to our array, converting them into bytes and shifting by 8 bits in each iteration:

void fillByteArray(int start, int end, byte[] result, long bits) {
    for (int i = start; i < end; i++) {
        int shift = i * 8;
        result[i] = (byte) ((int) (255L & bits >> shift));
    }
}

In the next step, we’ll Base64.Encoder from JDK to encode our byte array into a string:

UUID originalUUID = UUID.fromString("cc5f93f7-8cf1-4a51-83c6-e740313a0c6c");

@Test
void givenEncodedString_whenDecodingUsingBase64Decoder_thenGiveExpectedUUID() {
    String expectedEncodedString = "UUrxjPeTX8xsDDoxQOfGgw==";
    byte[] uuidBytes = convertToByteArray(originalUUID);
    String encodedUUID = Base64.getEncoder().encodeToString(uuidBytes);
    assertEquals(expectedEncodedString, encodedUUID);
}

As we can see, the obtained value is exactly what we expected.

2.2. Decoding

To decode a UUID from a Base64 encoded string, we can perform the opposite actions in the following manner:

@Test
public void givenEncodedString_whenDecodingUsingBase64Decoder_thenGiveExpectedUUID() {
    String expectedEncodedString = "UUrxjPeTX8xsDDoxQOfGgw==";
    byte[] decodedBytes = Base64.getDecoder().decode(expectedEncodedString);
    UUID uuid = convertToUUID(decodedBytes);
}

Firstly, we used Base64.Decoder to obtain a byte array from our encoded string and call our conversion method to make a UUID from this array:

UUID convertToUUID(byte[] src) {
    long mostSignificantBits = convertBytesToLong(src, 0);
    long leastSignificantBits = convertBytesToLong(src, 8);

    return new UUID(mostSignificantBits, leastSignificantBits);
}

We convert parts of our array to the most and least significant bits long representation and make UUID using them.

The conversion method is following:

long convertBytesToLong(byte[] uuidBytes, int start) {
    long result = 0;

    for(int i = 0; i < 8; i++) {
        int shift = i * 8;
        long bits = (255L & (long)uuidBytes[i + start]) << shift;
        long mask = 255L << shift;
        result = result & ~mask | bits;
    }

    return result;
}

In this method, we go through the bytes array, convert each of them to bits, and move them into our result.

As we can see, the final result of the decoding will match the original UUID we used for encoding.

3. Encode using ByteBuffer and Base64.getUrlEncoder()

Using the standard functionality from JDK, we can simplify the code written above.

3.1. Encoding

Using a ByteBuffer, we can make the process of transforming our UUID into a byte array in just a few lines of code:

ByteBuffer byteBuffer = ByteBuffer.wrap(new byte[16]);
byteBuffer.putLong(originalUUID.getMostSignificantBits());
byteBuffer.putLong(originalUUID.getLeastSignificantBits());

We created a buffer wrapping a byte array and put the most and least significant bits from our UUID.

For encoding purposes, we’ll use Base64.getUrlEncoder() this time:

String encodedUUID = Base64.getUrlEncoder().encodeToString(byteBuffer.array());

As a result, we created a Base64-encoded UUID in 4 lines of code:

@Test
public void givenUUID_whenEncodingUsingByteBufferAndBase64UrlEncoder_thenGiveExpectedEncodedString() {
    String expectedEncodedString = "zF-T94zxSlGDxudAMToMbA==";
    ByteBuffer byteBuffer = ByteBuffer.wrap(new byte[16]);
    byteBuffer.putLong(originalUUID.getMostSignificantBits());
    byteBuffer.putLong(originalUUID.getLeastSignificantBits());
    String encodedUUID = Base64.getUrlEncoder().encodeToString(byteBuffer.array());
    assertEquals(expectedEncodedString, encodedUUID);
}

3.2. Decoding

We can perform the opposite operation using ByteBuffer and Base64.UrlDecoder():

@Test
void givenEncodedString_whenDecodingUsingByteBufferAndBase64UrlDecoder_thenGiveExpectedUUID() {
    String expectedEncodedString = "zF-T94zxSlGDxudAMToMbA==";
    byte[] decodedBytes = Base64.getUrlDecoder().decode(expectedEncodedString);
    ByteBuffer byteBuffer = ByteBuffer.wrap(decodedBytes);
    long mostSignificantBits = byteBuffer.getLong();
    long leastSignificantBits = byteBuffer.getLong();
    UUID uuid = new UUID(mostSignificantBits, leastSignificantBits);
    assertEquals(originalUUID, uuid);
}

As we can see, we successfully decoded the expected UUID from the encoded string.

4. Reduce the Length of an Encoded UUID

As we saw in previous sections, Base64, by default, contains “==” on the end. To save a few more bytes, we can trim this ending.
For this purpose, we can configure our encoder to not add the padding:

String encodedUUID = 
  Base64.getUrlEncoder().withoutPadding().encodeToString(byteBuffer.array());

assertEquals(expectedEncodedString, encodedUUID);

As a result, we can see the encoded string without extra characters. There’s no need to change our decoder since it will work with both variants of the encoded string in the same way.

5. Encode Using Conversion Utils and Codec Utils From Apache Commons

In this section, we’ll use uuidToByteArray from Apache Commons Conversion utils to make an array of UUID bytes. Also, we’ll use encodeBase64URLSafeString from Apache Commons Base64 utils.

5.1. Dependencies

To demonstrate this encoding approach, we’ll use the Apache Commons Lang library. Let’s add its dependency to our pom.xml:

<dependency>
    <groupId>org.apache.commons</groupId>
    <artifactId>commons-lang3</artifactId>
    <version>3.14.0</version>
</dependency>

Another dependency we’ll use is a commons-codec:

<dependency>
    <groupId>commons-codec</groupId>
    <artifactId>commons-codec</artifactId>
    <version>1.16.0</version>
</dependency>

5.2. Encoding

We’ll encode the UUID in just two lines of code:

@Test
void givenUUID_whenEncodingUsingApacheUtils_thenGiveExpectedEncodedString() {
    String expectedEncodedString = "UUrxjPeTX8xsDDoxQOfGgw";
    byte[] bytes = Conversion.uuidToByteArray(originalUUID, new byte[16], 0, 16);
    String encodedUUID = encodeBase64URLSafeString(bytes);
    assertEquals(expectedEncodedString, encodedUUID);
}

As we can see, the result is already trimmed and doesn’t contain a pending ending.

5.3. Decoding

We’ll make a reverse operation calling Base64.decodeBase64() and Conversion.byteArrayToUuid() from Apache Commons:

@Test
void givenEncodedString_whenDecodingUsingApacheUtils_thenGiveExpectedUUID() {
    String expectedEncodedString = "UUrxjPeTX8xsDDoxQOfGgw";
    byte[] decodedBytes = decodeBase64(expectedEncodedString);
    UUID uuid = Conversion.byteArrayToUuid(decodedBytes, 0);
    assertEquals(originalUUID, uuid);
}

We successfully obtained the original UUID.

6. Conclusion

UUID is a widely used data type, and one of the approaches to encode it is by using Base64. In this article, we explored a few methods to encode UUID into Base64.

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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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)