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Mastering Apache Storm

You're reading from   Mastering Apache Storm Real-time big data streaming using Kafka, Hbase and Redis

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Product type Paperback
Published in Aug 2017
Publisher
ISBN-13 9781787125636
Length 284 pages
Edition 1st Edition
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Author (1):
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Ankit Jain Ankit Jain
Author Profile Icon Ankit Jain
Ankit Jain
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Table of Contents (13) Chapters Close

Preface 1. Real-Time Processing and Storm Introduction FREE CHAPTER 2. Storm Deployment, Topology Development, and Topology Options 3. Storm Parallelism and Data Partitioning 4. Trident Introduction 5. Trident Topology and Uses 6. Storm Scheduler 7. Monitoring of Storm Cluster 8. Integration of Storm and Kafka 9. Storm and Hadoop Integration 10. Storm Integration with Redis, Elasticsearch, and HBase 11. Apache Log Processing with Storm 12. Twitter Tweet Collection and Machine Learning

Installation of Kafka brokers

At the time of writing, the stable version of Kafka is 0.9.x.

The prerequisites for running Kafka are a ZooKeeper ensemble and Java Version 1.7 or above. Kafka comes with a convenience script that can start a single node ZooKeeper but it is not recommended to use it in a production environment. We will be using the ZooKeeper cluster we deployed in Chapter 2, Storm Deployment, Topology Development, and Topology Options.

We will see how to set up a single node Kafka cluster first and then how to add two more nodes to it to run a full-fledged, three node Kafka cluster with replication enabled.

Setting up a single node Kafka cluster

Following are the steps to set up a single node Kafka cluster:

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