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)

Avro in a nutshell

Apache Avro is a binary serialization format. The format is schema-based so, it depends on the definition of schemas in JSON format. These schemas define which fields are mandatory and their types. Avro also supports arrays, enums, and nested fields.

One major advantage of Avro is that it supports schema evolution. In this way, we can have several historical versions of the schema.

Normally, the system must adapt to the changing needs of the business. For this reason, we can add or remove fields from our entities, and even change the data types. To support forward or backward compatibility, we must consider which fields are indicated as optional.

Because Avro converts the data into arrays of bytes (serialization), and Kafka's messages are also sent in binary data format, with Apache Kafka, we can send messages in Avro format. The real question is, where...