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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

Data migration

Data migration in Kafka cluster can be viewed in different aspects. You may want to migrate data to newly-added disk drives in the same cluster and then decommission old disks. You may want to move data to a secure cluster or to newly-added brokers and then decommission old brokers. You may want to move data to a different new cluster altogether or to the Cloud. Sometimes, you also end up migrating Zookeeper servers. In this section, we will, in general, discuss one of the scenarios mentioned earlier.

Let's consider the scenario where we want to add new hard drives/disks and decommission old ones on broker servers. Kafka data directories contain topic and partition data. You can always configure more than one data directory, and Kafka will balance the partition or topic data across these directory locations.

One important thing to note here is that Kafka does...
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