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Building Data Streaming Applications with Apache Kafka

You're reading from   Building Data Streaming Applications with Apache Kafka Design, develop and streamline applications using Apache Kafka, Storm, Heron and Spark

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Product type Paperback
Published in Aug 2017
Publisher Packt
ISBN-13 9781787283985
Length 278 pages
Edition 1st Edition
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Authors (2):
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Chanchal Singh Chanchal Singh
Author Profile Icon Chanchal Singh
Chanchal Singh
Manish Kumar Manish Kumar
Author Profile Icon Manish Kumar
Manish Kumar
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Table of Contents (14) Chapters Close

Preface 1. Introduction to Messaging Systems FREE CHAPTER 2. Introducing Kafka the Distributed Messaging Platform 3. Deep Dive into Kafka Producers 4. Deep Dive into Kafka Consumers 5. Building Spark Streaming Applications with Kafka 6. Building Storm Applications with Kafka 7. Using Kafka with Confluent Platform 8. Building ETL Pipelines Using Kafka 9. Building Streaming Applications Using Kafka Streams 10. Kafka Cluster Deployment 11. Using Kafka in Big Data Applications 12. Securing Kafka 13. Streaming Application Design Considerations

Deep Dive into Kafka Producers

In previous chapters, you have learned about messaging systems and Kafka architecture. While it is a good start, we will now take a deeper look into Kafka producers. Kafka can be used as a message queue, message bus, or data storage system. Irrespective of how Kafka is used in your enterprise, you will need an application system that can write data to the Kafka cluster. Such a system is called a producer. As the name suggests, they are the source or producers of messages for Kafka topics. Kafka producers publish messages as per Kafka protocols defined by the makers of Kafka. This chapter is all about producers, their internal working, examples of writing producers using Java or Scala APIs, and some of the best practices of writing Kafka APIs. We will cover the following topics in this chapter:

  • Internals of a Kafka producer
  • The Kafka Producer API...
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