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Apache Kafka Quick Start Guide

You're reading from   Apache Kafka Quick Start Guide Leverage Apache Kafka 2.0 to simplify real-time data processing for distributed applications

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Product type Paperback
Published in Dec 2018
Publisher Packt
ISBN-13 9781788997829
Length 186 pages
Edition 1st Edition
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Author (1):
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Raúl Estrada Raúl Estrada
Author Profile Icon Raúl Estrada
Raúl Estrada
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Table of Contents (10) Chapters Close

Preface 1. Configuring Kafka FREE CHAPTER 2. Message Validation 3. Message Enrichment 4. Serialization 5. Schema Registry 6. Kafka Streams 7. KSQL 8. Kafka Connect 9. Other Books You May Enjoy

Java AvroStreamsProcessor

In this section we will see how to use all this power gathered together: Apache Avro, Schema Registry, and Kafka Streams.

Now, we are going to use Avro format in our messages, as we did in previous chapters. We consumed this data by configuring the Schema Registry URL and using the Kafka Avro deserializer. For Kafka Streams, we need to use a Serde, so we added the dependency in the Gradle build file, given as follows:

compile 'io.confluent:kafka-streams-avro-serde:5.0.0'

This dependency has the GenericAvroSerde and specific avroSerde explained in previous chapters. Both Serde implementations allow us to work with Avro records.

Now, in the src/main/java/kioto/avro directory, create a file called AvroStreamsProcessor.java with the contents of Listing 6.4, shown as follows:

import ...
public final class AvroStreamsProcessor {
private final...
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