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)

KSQL in a nutshell

With Kafka Connect, we can build clients in several programming languages: JVM (Java, Clojure, Scala), C/C++, C#, Python, Go, Erlang, Ruby, Node.js, Perl, PHP, Rust, and Swift. In addition to this, if your programming language is not listed, you can use the Kafka REST proxy. But the Kafka authors realized that all programmers, especially data engineers, can all talk the same language: Structured Query Language (SQL). So, they decided to create an abstraction layer on Kafka Streams in which they could manipulate and query streams using SQL.

KSQL is a SQL engine for Apache Kafka. It allows writing SQL sentences to analyze data streams in real time. Remember that a stream is an unbounded data structure, so we don't know where it begins, and we are constantly receiving new data. Therefore, KSQL queries usually keep generating results until you stop them.

KSQL...