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

Windowed operator configuration


Because we are developing an application for a taxi driver looking for passengers, we are only interested in the last few minutes of data, to have a good advice for the driver where to look. We are accumulating the data in 5-minute sliding windows that slide by 1 minute so that we always use the data from the past 5 minutes for our service. In Application.java:

KeyedWindowedOperatorImpl<String, Double, MutableDouble, Double> windowedOperator 
  = new KeyedWindowedOperatorImpl<>();
    
// 5-minute windows slide by 1 minute
windowedOperator.setWindowOption(new WindowOption.TimeWindows(Duration.standardMinutes(5)).slideBy(Duration
  .standardMinutes(1)));
    
// Because we only care about the last 5 minutes, lateness horizon 
// is set to 4 minutes since the watermark is set to one minute before 
// the latest timestamp.
windowedOperator.setAllowedLateness(Duration.standardMinutes(4));  

We are now setting the accumulation to be a SumDouble, which...