Book Image

Learning Apache Apex

By : Thomas Weise, Ananth Gundabattula, Munagala V. Ramanath, David Yan, Kenneth Knowles
Book Image

Learning Apache Apex

By: Thomas Weise, Ananth Gundabattula, Munagala V. Ramanath, David Yan, Kenneth Knowles

Overview of this book

Apache Apex is a next-generation stream processing framework designed to operate on data at large scale, with minimum latency, maximum reliability, and strict correctness guarantees. Half of the book consists of Apex applications, showing you key aspects of data processing pipelines such as connectors for sources and sinks, and common data transformations. The other half of the book is evenly split into explaining the Apex framework, and tuning, testing, and scaling Apex applications. Much of our economic world depends on growing streams of data, such as social media feeds, financial records, data from mobile devices, sensors and machines (the Internet of Things - IoT). The projects in the book show how to process such streams to gain valuable, timely, and actionable insights. Traditional use cases, such as ETL, that currently consume a significant chunk of data engineering resources are also covered. The final chapter shows you future possibilities emerging in the streaming space, and how Apache Apex can contribute to it.
Table of Contents (17 chapters)
Title Page
Credits
About the Authors
About the Reviewer
www.PacktPub.com
Customer Feedback
Preface

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...