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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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Concepts
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Author (1):
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 Jain Jain
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Jain
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Table of Contents (19) Chapters Close

Title Page
Credits
About the Author
About the Reviewers
www.PacktPub.com
Customer Feedback
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

Integrating Storm with Redis


Redis is a key value data store. The key values can be strings, lists, sets, hashes, and so on. It is extremely fast because the entire dataset is stored in the memory. The following are the steps to install Redis:

  1. First, you will need to install make, gcc, and cc to compile the Redis code using the following command:
sudo yum -y install make gcc cc

 

  1. Download, unpack, and make Redis, and copy it to /usr/local/bin using the following commands:
cd /home/$USER Here, $USER is the name of the Linux user. http://download.redis.io/releases/redis-2.6.16.tar.gz tar -xvf redis-2.6.16.tar.gz cd redis-2.6.16 make sudo cp src/redis-server /usr/local/bin sudo cp src/redis-cli /usr/local/bin
  1. Execute the following commands to make Redis a service:
sudo mkdir -p /etc/redis sudo mkdir -p /var/redis cd /home/$USER/redis-2.6.16/ sudo cp utils/redis_init_script /etc/init.d/redis wget https://bitbucket.org/ptylr/public-stuff/raw/41d5c8e87ce6adb3 
    4aa16cd571c3f04fb4d5e7ac/etc/init.d...
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