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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

Kafka consumer APIs

Like Kafka producer, Kafka also provides a rich set of APIs to develop a consumer application. In previous sections of this chapter, you have learned about internal concepts of consumer, working of consumer within a consumer group, and partition rebalance. We will see how this concept helps in building a good consumer application.

  • Consumer configuration
  • KafkaConsumer object
  • Subscription and polling
  • Commit and offset
  • Additional configuration

Consumer configuration

Creating Kafka consumer also requires a few mandatory properties to be set. There are basically four properties:

  • bootstrap.servers: This property is similar to what we defined in Chapter 3, Deep Dive into Kafka Producers, for producer configuration...
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