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Real-time Analytics with Storm and Cassandra

You're reading from  Real-time Analytics with Storm and Cassandra

Product type Book
Published in Mar 2015
Publisher
ISBN-13 9781784395490
Pages 220 pages
Edition 1st Edition
Languages
Author (1):
Shilpi Saxena Shilpi Saxena
Profile icon Shilpi Saxena

Table of Contents (19) Chapters

Real-time Analytics with Storm and Cassandra
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
1. Let's Understand Storm 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 Quiz Answers Index

Scaling the Storm cluster – adding new supervisor nodes


In production, one of the most common scenarios one can run into is when the processing need outgrows the size of the cluster. Scaling then becomes necessary; there are two options: we can perform vertical scaling wherein we can add more compute capability, or we can use horizontal scaling where we add more nodes. The latter is more cost-effective and also makes the cluster more robust.

Here are the steps to be executed to add a new node to the Storm cluster:

  1. Download and install the 0.9.2 version of Storm as it is used in the rest of the cluster by extracting the downloaded ZIP file.

  2. Create the required directories:

    sudo mkdir –p /usr/local/storm/tmp
    
  3. All Storm nodes, the Nimbus nodes, and the supervisor require a location on to store a small amount of data related to configurations on the local disk. Please ensure you create the directory and assign read/write permissions on all Storm nodes.

  4. Create the required directories for the logs...

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