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)

Basic scenario

To explain late events, we need a system where the events arrive periodically and we want to know how many events are produced by unit of time. In Figure 6.1, we show this scenario:


Figure 6.1: The events as they were produced

In the preceding figure, each marble represents an event. They are not supposed to have dimensions as they are at a specific point in time. Events are punctual, but for demonstration purposes, we represent them as balls. As we can see in t1 and t2, two different events can happen at the same time.

In our figure, tn represents the nth time unit. Each marble represents a single event. To differentiate between them, the events on t1 have one stripe, the events on t2 have two stripes, and the events on t3 have three stripes.

We want to count the events per unit of time, so we have the following:

  • t1 has six events
  • t2 has four events
  • t3 has three...