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

Application testing


In addition to the normal unit tests for individual functions or other small units of behavior, Apex simplifies the task of integration testing of the entire application directly on the command line of your development machine, or within your IDE without the need to set up an entire Hadoop cluster, which can be a tedious process. When developing Apex applications, it is very important to use this mechanism so that bugs can be discovered and corrected early in the development process.

As described in Chapter 2, Getting Started with Application Development, a single JUnit test is encapsulated in a method of the test class (SampleApplicationTest in this case), which is annotated with @Test. But there is a bit more to this test due to its dependence on external servers, namely, ZooKeeper and Kafka. To facilitate this, we use the testing library from https://github.com/chbatey/kafka-unit, specifically the KafkaUnit and KafkaUnitRule classes:

private final String testTopicData...