Book Image

Building Data Streaming Applications with Apache Kafka

By : Chanchal Singh, Manish Kumar
Book Image

Building Data Streaming Applications with Apache Kafka

By: Chanchal Singh, Manish Kumar

Overview of this book

Apache Kafka is a popular distributed streaming platform that acts as a messaging queue or an enterprise messaging system. It lets you publish and subscribe to a stream of records, and process them in a fault-tolerant way as they occur. This book is a comprehensive guide to designing and architecting enterprise-grade streaming applications using Apache Kafka and other big data tools. It includes best practices for building such applications, and tackles some common challenges such as how to use Kafka efficiently and handle high data volumes with ease. This book first takes you through understanding the type messaging system and then provides a thorough introduction to Apache Kafka and its internal details. The second part of the book takes you through designing streaming application using various frameworks and tools such as Apache Spark, Apache Storm, and more. Once you grasp the basics, we will take you through more advanced concepts in Apache Kafka such as capacity planning and security. By the end of this book, you will have all the information you need to be comfortable with using Apache Kafka, and to design efficient streaming data applications with it.
Table of Contents (14 chapters)

Kafka message delivery semantics

Semantic guarantees in Kafka need to be understood from the perspective of producers and consumers.

At a very high level, message flows in Kafka comprise the producer writing messages that are read by consumers to deliver it to the message processing component. In other words, producer message delivery semantics impact the way messages are received by the consumer.

For example, suppose the producer component does not receive successful acks from brokers because of network connectivity. In that case, the producer re-sends those messages even if the broker has received them. This results in duplicate messages sent to the consumer application. Therefore, it is important to understand that the way messages are delivered by the producer effects the manner in which the consumer would receive the messages. This would ultimately have impact on applications...