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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

Setting up Storm-YARN

Since Storm-YARN is still in alpha, we will be proceeding with the base master branch of the git repository. Make sure you have git installed on your system. If not, then run the following command:

# yum install git-core  

Also make sure that you have Apache Zookeeper and Apache Maven installed on your system. Refer to the previous chapters for their setup instructions.

The following are the steps for deploying Storm-YARN:

  1. Clone the storm-yarn repo with the following command:
$ cd ~/opt
$ git clone https://github.com/yahoo/storm-yarn.git
$ cd storm-yarn  
  1. Build storm-yarn by running the following mvn command:
    $ mvn package
    [INFO] Scanning for projects...
    [INFO]                                                                         
    [INFO] ----------------------------------------------------
    [INFO] Building storm-yarn 1.0-alpha
  ...
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