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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

Dynamic log level settings

The dynamic log level allows us to change the log level setting of the topology on the runtime from the Storm CLI and the Storm UI.

Updating the log level from the Storm UI

Go through the following steps to update the log level from the Storm UI:

  1. Deploy SampleStormClusterTopology again on the Storm cluster if it is not running.
  2. Browse the Storm UI at http://nimbus-node:8080/.
  3. Click on the storm_example topology.

 

  1. Now click on the Change Log Level button to change the ROOT logger of the topology, as shown in the following are the screenshots:
  1. Configure the entries mentioned in the following screenshots change the ROOT logger to ERROR:
  1. If you are planning to...
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