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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

Storm-Starter topologies on Storm-YARN

In this section, we will see how to deploy the Storm-Starter topologies on storm-yarn. Storm-Starter is a set of example topologies that comes with Storm.

Follow these steps to run the topologies on Storm-YARN:

  1. Clone the storm-starter project:
$ git clone https://github.com/nathanmarz/storm-starter
$ cd storm-starter  
  1. Package the topologies with the following mvn command:
$ mvn package -DskipTests  
  1. Deploy the topologies on storm-yarn with the following command:
    $ storm jar target/storm-starter-0.0.1-SNAPSHOT.jar storm.starter.WordCountTopology word-cout-topology
    545  [main] INFO  backtype.storm.StormSubmitter - Jar not uploaded to master yet. Submitting jar...
    558  [main] INFO  backtype.storm.StormSubmitter - Uploading topology jar target/storm-starter-0.0.1-SNAPSHOT.jar to assigned location: storm-local/nimbus/inbox/stormjar...
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