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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

Decommissioning brokers

Kafka is a distributed and replicated messaging system. Decommissioning brokers can become a tedious task sometimes. In lieu of that, we thought of introducing this section to keep you informed about some of the steps you should perform for decommissioning the broker.

You can automate this using any scripting language. In general, you should perform the following steps:

  1. Log in to the Zookeeper shell, and from there, collect the relevant broker information based on the broker IP or hostname.
  2. Next, based on the broker information collected from Zookeeper, you should gather information about which topics and partition data need to be reassigned to different brokers. You can use Kafka topic shell-based utilities to gather such information. Basically, topic partitions that require reassignment are identified with leader and replicas values that are equal to...
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