Search icon CANCEL
Subscription
0
Cart icon
Your Cart (0 item)
Close icon
You have no products in your basket yet
Arrow left icon
Explore Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Free Learning
Arrow right icon
Arrow up icon
GO TO TOP
Practical Real-time Data Processing and Analytics

You're reading from   Practical Real-time Data Processing and Analytics Distributed Computing and Event Processing using Apache Spark, Flink, Storm, and Kafka

Arrow left icon
Product type Paperback
Published in Sep 2017
Publisher Packt
ISBN-13 9781787281202
Length 360 pages
Edition 1st Edition
Languages
Arrow right icon
Authors (2):
Arrow left icon
Shilpi Saxena Shilpi Saxena
Author Profile Icon Shilpi Saxena
Shilpi Saxena
Saurabh Gupta Saurabh Gupta
Author Profile Icon Saurabh Gupta
Saurabh Gupta
Arrow right icon
View More author details
Toc

Table of Contents (14) Chapters Close

Preface 1. Introducing Real-Time Analytics FREE CHAPTER 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

Running the case study


Before running the code, let's build it using the following command:

mvn clean install

This will create a JAR file with the name as chapter13-0.0.1-SNAPSHOT-jar-with-dependencies.jar in chapter13/target directory.

Load Hazelcast

Execute the following command to load static values into Hazelcast:

java -cp target/chapter12-0.0.1-SNAPSHOT-jar-with-dependencies.jar com.book.simulator.HazelCastLoader <phone_number> vehicle-static-data 10000

The output will be as the following screenshot. Wait for the next step to be executed as the program reads only the latest entries from the Kafka topic:

Hazelcast UI will display one map: vehicleAlertInfo, as shown in the following screenshot:

Generate Vehicle static value

Execute the following command to generate vehicle static values which contains the vehicle and its starting location as latitude and longitude. It pushes into Kafka:

java -cp target/chapter12-0.0.1-SNAPSHOT-jar-with-dependencies.jar com.book.simulator.VehicleStartPointGenerator...
lock icon The rest of the chapter is locked
Register for a free Packt account to unlock a world of extra content!
A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.
Unlock this book and the full library FREE for 7 days
Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of
Renews at $19.99/month. Cancel anytime
Banner background image