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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.

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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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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.
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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.

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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.

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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.

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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.

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