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

Looking up of the zip code and preparing for the windowing operation


The NycTaxiZipFareExtractor operator is the operator that is immediate downstream of the NycTaxiCsvParser explained above. It looks at the pickup latitude-longitude coordinate, looks up the zip code given the latitude-longitude coordinate, and prepares a TimestampedTuple for the KeyedWindowedOperatorImpl operator downstream. The output tuple is of the TimestampedTuple<KeyValPair<String, Double>> type, with the key being the zip code, and the value being the total payment amount.

Here's the definition of the input port of the NycTaxiZipFareExtractor operator:

public final transient DefaultInputPort<Map<String, String>> input = new DefaultInputPort<Map<String, String>>() 
{ 
 @Override 
 public void process(Map<String, String> tuple) 
 { 
   try { 
     String zip = 
       NycLocationUtils.getZip(Double.valueOf(tuple.get("pickup_lat")), 
       Double.valueOf(tuple.get("pickup_lon...