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Learning Apache Apex

You're reading from   Learning Apache Apex Real-time streaming applications with Apex

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Product type Paperback
Published in Nov 2017
Publisher
ISBN-13 9781788296403
Length 290 pages
Edition 1st Edition
Languages
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Authors (5):
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Munagala V. Ramanath Munagala V. Ramanath
Author Profile Icon Munagala V. Ramanath
Munagala V. Ramanath
David Yan David Yan
Author Profile Icon David Yan
David Yan
Ananth Gundabattula Ananth Gundabattula
Author Profile Icon Ananth Gundabattula
Ananth Gundabattula
Thomas Weise Thomas Weise
Author Profile Icon Thomas Weise
Thomas Weise
Kenneth Knowles Kenneth Knowles
Author Profile Icon Kenneth Knowles
Kenneth Knowles
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Toc

Table of Contents (11) Chapters Close

Preface 1. Introduction to Apex FREE CHAPTER 2. Getting Started with Application Development 3. The Apex Library 4. Scalability, Low Latency, and Performance 5. Fault Tolerance and Reliability 6. Example Project – Real-Time Aggregation and Visualization 7. Example Project – Real-Time Ride Service Data Processing 8. Example Project – ETL Using SQL 9. Introduction to Apache Beam 10. The Future of Stream Processing

Running the application


This section assumes that you have already set up the development environment as explained in the Chapter 2, Getting Started with Application Development. All components of the Twitter example can run on the host OS. There is no need for a Hadoop cluster, although it would also be possible to run the Apex application in the Docker container. We will instead run it as a JUnit test, as it is easier to modify and experiment with.

  1. Check out the code using the following command:
git clone https://github.com/tweise/apex-samples.git
  1. Then, import the Twitter project into your IDE and run JUnit test:
TwitterStatsAppTest.testApplication

Alternatively, you can run it from the command line:

cd twitter; mvn test -Dtest=TwitterStatsAppTest

By default the test runs the application with a file source of sample tweets (instead of connecting to the Twitter API) and writes results to the console (instead of WebSocket).

  1. To configure the application for live input and visualization of results...
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