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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

Resource-aware scheduler

A resource-aware scheduler helps users specify the amount of resources required for a single instance of any component (spout or bolt). We can enable the resource-aware scheduler by specifying the following property in the storm.yaml file:

storm.scheduler: "org.apache.storm.scheduler.resource.ResourceAwareScheduler" 

Component-level configuration

You can allocate the memory requirement to any component. Here are the methods available to allocate the memory to a single instance of any component:

public T setMemoryLoad(Number onHeap, Number offHeap) 

Alternatively, you can use the following:

public T setMemoryLoad(Number onHeap) 

The following is the definition of each argument:

  • onHeap...
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