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

Custom operator development


As our example application has the LineSplitter operator, which is not part of the Apex library, we will use it as an example to illustrate the process of developing a custom operator.

Splitting a line into words is, of course, a simple stateless operation. Connectors and stateful transformations will be more involved, and there are many examples in the Apex library to look at for this.

Here is the line splitter:

public class LineSplitter extends BaseOperator 
{ 
  // default pattern for word-separators 
  private static final Pattern nonWordDefault =    Pattern.compile
    ("[\\p{Punct}\\s]+"); 
 
  private String nonWordStr;              // configurable regex 
  private transient Pattern nonWord;      // compiled regex 
 
  /** 
   * Output port on which words from the current file are emitted 
   */ 
  public final transient DefaultOutputPort<String> output = new 
    DefaultOutputPort<>(); 
 
  /** 
   * Input port on which lines from the current...