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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

The different options of the Storm topology

This section covers the following operations that a user can perform on the Storm cluster:

  • Deactivate
  • Activate
  • Rebalance
  • Kill
  • Dynamic log level settings

Deactivate

Storm supports the deactivating a topology. In the deactivated state, spouts will not emit any new tuples into the pipeline, but the processing of the already emitted tuples will continue. The following is the command to deactivate the running topology:

$> bin/storm deactivate topologyName 

Deactivate SampleStormClusterTopology using the following command:

bin/storm deactivate SampleStormClusterTopology 

The following information is displayed:

0 [main] INFO backtype.storm.thrift - Connecting to Nimbus at...
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