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

Running the streaming application


In the previous recipe, the first version of the streaming app was coded. Now, in this recipe, everything is compiled and executed.

Getting ready

The execution of the previous recipe of this chapter is needed.

How to do it...

The streaming app doesn't receive arguments from the command line:

  1. To build the project, from the treu directory, run the following command:
$ gradle jar

If everything is OK, the output should be:

...BUILD SUCCESSFULTotal time: ...
  1. To run the project, we have four different command-line windows. The following diagram shows what the arrangement of command-line windows should look like:

Figure 6.1: The four Terminals to test the streaming application—Confluent Control Center, Message producer, Message consumer, and the application itself

  1. In the first command-line Terminal, run the control center:
$ <confluent-path>/bin/confluent start
  1. In the second command-line Terminal, create the two topics needed:
$ bin/kafka-topics --create --topic src-topic...