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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

Deploy topology

This section will explain how we can deploy the LogProcessingTopology. Perform the following steps:

  1. Execute the following command on the MySQL console to define the database schema:
mysql> create database apachelog; 
mysql> use apachelog; 
mysql> create table apachelog( 
       id INT NOT NULL AUTO_INCREMENT, 
       ip VARCHAR(100) NOT NULL, 
       dateTime VARCHAR(200) NOT NULL, 
       request VARCHAR(100) NOT NULL, 
       response VARCHAR(200) NOT NULL, 
       bytesSent VARCHAR(200) NOT NULL, 
        referrer VARCHAR(500) NOT NULL, 
       useragent VARCHAR(500) NOT NULL, 
       country VARCHAR(200) NOT NULL, 
       browser VARCHAR(200) NOT NULL, 
       os VARCHAR(200) NOT NULL, 
       keyword VARCHAR(200) NOT NULL, 
       PRIMARY KEY (id) 
 ); 
  1. I am assuming you have already produced some data on the apache_log topic by using Logstash...
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