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)

Message producers

In Kafka, the producer is responsible for sending data to the partition of the topic for which it is producing data.

The producer generally does not write data to partitions, it creates write requests for messages and sends them to the leader broker. Partitioner calculates the hash value of the message, which helps the producer to choose which partition should be selected.

The hash value is generally calculated by the message key that we provide when writing the message to a Kafka topic. The message with a null key will be distributed in a round-robin fashion across partitions to ensure even distribution of messages. In Kafka, each partition has a leader and each read write request goes through the leader only. So a request to write messages to a partition of a topic will go through the leader broker. The producer waits for an acknowledgement of messages depending...