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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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Toc

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

Isolation scheduler

The isolation scheduler provides a mechanism for the easy and safe sharing of Storm cluster resources among many topologies. The isolation scheduler helps to allocate/reserve the dedicated sets of Storm nodes for topologies within the Storm cluster.

We need to define the following property in the Nimbus configuration file to switch to the isolation scheduler:

storm.scheduler: org.apache.storm.scheduler.IsolationScheduler 

We can allocate/reserve the resources for any topology by specifying the topology name and the number of nodes inside the isolation.scheduler.machines property, as mentioned in the following section. We need to define the isolation.scheduler.machines property in the Nimbus configuration, as Nimbus is responsible for the distribution of topology workers between Storm nodes:

isolation.scheduler.machines:  
  "Topology-Test1": 2 
 ...
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