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Practical Real-time Data Processing and Analytics

You're reading from  Practical Real-time Data Processing and Analytics

Product type Book
Published in Sep 2017
Publisher Packt
ISBN-13 9781787281202
Pages 360 pages
Edition 1st Edition
Languages
Toc

Table of Contents (20) Chapters close

Title Page
Credits
About the Authors
About the Reviewers
www.PacktPub.com
Customer Feedback
Preface
1. Introducing Real-Time Analytics 2. Real Time Applications – The Basic Ingredients 3. Understanding and Tailing Data Streams 4. Setting up the Infrastructure for Storm 5. Configuring Apache Spark and Flink 6. Integrating Storm with a Data Source 7. From Storm to Sink 8. Storm Trident 9. Working with Spark 10. Working with Spark Operations 11. Spark Streaming 12. Working with Apache Flink 13. Case Study

String together Storm-RMQ-PubNub sensor data topology


Let's wire in the JSON bolt to parse this JSON payload in our topology and see the execution:

... 
 
public class JsonBolt implements IRichBolt { 
.. 
      private static final long serialVersionUID = 1L; 
      OutputCollector collector; 
 
      public void prepare(Map arg0, TopologyContext arg1, OutputCollector arg2) { 
            this.collector = arg2; 
 
      } 
 
      public void execute(Tuple arg0) { 
            String jsonInString = arg0.getStringByField("messages"); 
            System.out.println("message read from  queue" + jsonInString); 
            JsonConverter jsonconvertor = new JsonConverter(); 
            MySensorData mysensorObj = jsonconvertor.run(jsonInString); 
            this.collector.emit(new Values(mysensorObj)); 
            this.collector.ack(arg0); 
      } 
.. 
 
} 
.. 
 
class JsonConverter { 
.. 
 
      public MySensorData run(String jsonInString) { 
            ObjectMapper mapper = new ObjectMapper...
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