Book Image

Apache Kafka Quick Start Guide

By : Raúl Estrada
Book Image

Apache Kafka Quick Start Guide

By: Raúl Estrada

Overview of this book

Apache Kafka is a great open source platform for handling your real-time data pipeline to ensure high-speed filtering and pattern matching on the ?y. In this book, you will learn how to use Apache Kafka for efficient processing of distributed applications and will get familiar with solving everyday problems in fast data and processing pipelines. This book focuses on programming rather than the configuration management of Kafka clusters or DevOps. It starts off with the installation and setting up the development environment, before quickly moving on to performing fundamental messaging operations such as validation and enrichment. Here you will learn about message composition with pure Kafka API and Kafka Streams. You will look into the transformation of messages in different formats, such asext, binary, XML, JSON, and AVRO. Next, you will learn how to expose the schemas contained in Kafka with the Schema Registry. You will then learn how to work with all relevant connectors with Kafka Connect. While working with Kafka Streams, you will perform various interesting operations on streams, such as windowing, joins, and aggregations. Finally, through KSQL, you will learn how to retrieve, insert, modify, and delete data streams, and how to manipulate watermarks and windows.
Table of Contents (10 chapters)

Java AvroProducer

Now, we should modify our Java Producer to send messages in Avro format. First, it is important to mention that in Avro there are two types of messages:

  • Specific records: The file with the Avro schema (avsc) is sent to a specific Avro command to generate the corresponding Java classes.
  • Generic records: In this approach, a data structure similar to a map dictionary is used. This means that you set and get the fields by their names and you must know their corresponding types. This option is not type-safe, but it offers much more flexibility than the other, and here the versions are much easier to manage over time. In this example, we will use this approach.

Before we start with the code, remember that in the last chapter we added the library to support Avro to our Kafka client. If you recall, the build.gradle file has a special repository with all this libraries...