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Learning Real-time Analytics with Storm and Cassandra

You're reading from   Learning Real-time Analytics with Storm and Cassandra Solve real-time analytics problems effectively using Storm and Cassandra

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Product type Paperback
Published in Mar 2015
Publisher
ISBN-13 9781784395490
Length 220 pages
Edition 1st Edition
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Author (1):
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Shilpi Saxena Shilpi Saxena
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Shilpi Saxena
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Table of Contents (14) Chapters Close

Preface 1. Let's Understand Storm FREE CHAPTER 2. Getting Started with Your First Topology 3. Understanding Storm Internals by Examples 4. Storm in a Clustered Mode 5. Storm High Availability and Failover 6. Adding NoSQL Persistence to Storm 7. Cassandra Partitioning, High Availability, and Consistency 8. Cassandra Management and Maintenance 9. Storm Management and Maintenance 10. Advance Concepts in Storm 11. Distributed Cache and CEP with Storm A. Quiz Answers Index

Cassandra cluster scaling – adding a new node


Cassandra scales very easily, and with zero downtime. This is one of the reasons why it is chosen over many other contenders. The steps are pretty straightforward and simple:

  1. You need to set up Cassandra on the nodes to be added. Don't start the Cassandra process yet; first, follow these steps:

    1. Update the seed nodes in Cassandra.yaml under seed_provider.

    2. Make sure the tmp folders are clean.

    3. Add auto_bootstrap to Cassandra.yaml and set it to true.

    4. Update cluster_name in Cassandra.yaml.

    5. Update listen_address/broadcast_address in Cassandra.yaml.

  2. Start all the new nodes one by one, pausing for at least 5 minutes between two consecutive starts.

  3. Once the node is started, it will proclaim its share of data based on the token range it owns and start streaming that in. This could be verified using the nodetoolnetstat command, as shown in the following code:

    mydomain@my-cass1:/home/ubuntu$ /usr/local/cassandra/apache- cassandra-1.1.6/bin/nodetool -h 10.3.12.29...
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