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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
Tools
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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 Connect

Let's get into the architecture of Kafka Connect. The following figure gives a good idea of Kafka Connect:

Kafka Connect architecture

Kafka Connect has three major models in its design:

  • Connector: A Connector is configured by defining the Connector class and configuration. The Connector class is defined based on the source or target of the data, which means that it will be different for the Database source and File source. It is then followed by setting up the configuration for these classes. For example, configuration for the Database source could be the IP of the database, the username and password to connect to the database, and so on. The Connector creates a set of tasks, which is actually responsible for copying data from the source or copying data to the target. Connectors are of two types:
    • Source Connector: This is responsible for ingesting...
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