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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

Integrating Storm with Elasticsearch

In this section, we are going to cover the installation of Storm with Elasticsearch. Elasticsearch is an open source, distributed search engine platform developed on Lucene. It provides a multitenant-capable, full-text search engine capability.

We are assuming that Elasticsearch is running on your environment. Please refer to https://www.elastic.co/guide/en/elasticsearch/reference/2.3/_installation.html to install Elasticsearch on any of the boxes if you don't have any running Elasticsearch cluster. Go through the following steps to integrate Storm with Elasticsearch:

  1. Create a Maven project using com.stormadvance for the groupID and storm_elasticsearch for the artifactID.
  2. Add the following dependencies and repositories to the pom.xml file:
<dependencies> 
        <dependency> 
            <groupId>org.elasticsearch...
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