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

Parsing the data


NycTaxiCsvParser takes in the data from NycTaxiDataReader. It simply splits each line by a comma and outputs Map<String, String> containing individual fields. This is the definition of the input port of the NycTaxiCsvParser operator:

public final transient DefaultInputPort<String> input = new DefaultInputPort<String>() 
{ 
 @Override 
 public void process(String tuple) 
 { 
   String[] values = tuple.split(","); 
   Map<String, String> outputTuple = new HashMap<>(); 
   if (values.length > 18 && StringUtils.isNumeric(values[0])) { 
     outputTuple.put("pickup_time", values[1]); 
     outputTuple.put("pickup_lon", values[5]); 
     outputTuple.put("pickup_lat", values[6]); 
     outputTuple.put("total_fare", values[18]); 
     output.emit(outputTuple); 
   } 
 } 
}; 

As mentioned previously, we are only interested in the pickup time (Key pickup time), pickup lat-lon coordinate (Keys pickup lon and pickup lat), and total payment (Key...