Book Image

Apache Kafka 1.0 Cookbook

By : Alexey Zinoviev, Raúl Estrada
Book Image

Apache Kafka 1.0 Cookbook

By: Alexey Zinoviev, Raúl Estrada

Overview of this book

Apache Kafka provides a unified, high-throughput, low-latency platform to handle real-time data feeds. This book will show you how to use Kafka efficiently, and contains practical solutions to the common problems that developers and administrators usually face while working with it. This practical guide contains easy-to-follow recipes to help you set up, configure, and use Apache Kafka in the best possible manner. You will use Apache Kafka Consumers and Producers to build effective real-time streaming applications. The book covers the recently released Kafka version 1.0, the Confluent Platform and Kafka Streams. The programming aspect covered in the book will teach you how to perform important tasks such as message validation, enrichment and composition.Recipes focusing on optimizing the performance of your Kafka cluster, and integrate Kafka with a variety of third-party tools such as Apache Hadoop, Apache Spark, and Elasticsearch will help ease your day to day collaboration with Kafka greatly. Finally, we cover tasks related to monitoring and securing your Apache Kafka cluster using tools such as Ganglia and Graphite. If you're looking to become the go-to person in your organization when it comes to working with Apache Kafka, this book is the only resource you need to have.
Table of Contents (18 chapters)
Title Page
Credits
About the Author
About the Reviewers
www.PacktPub.com
Customer Feedback
Dedication
Preface

Configuring a single-node multiple-broker cluster – SNMB


The second cluster configuration is single-node multiple-broker (SNMB). This cluster is used when there is just one node but inner redundancy is needed.

When a topic is created in Kafka, the system determines how each replica of a partition is mapped to each broker. In general, Kafka tries to spread the replicas across all available brokers.

The messages are first sent to the first replica of a partition (to the current broker leader of that partition) before they are replicated to the remaining brokers.

The producers may choose from different strategies for sending messages (synchronous or asynchronous mode). Producers discover the available brokers in a cluster and the partitions on each (all this by registering watchers in ZooKeeper).

In practice, some of the high volume topics are configured with more than one partition per broker. Remember that having more partitions increases the I/O parallelism for writes and this increases the...