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 configuration


The application is configured via the properties.xml file, in the resources/META-INF directory, and includes the following elements:

  • The Kafka input topic
  • The Kafka broker address and port
  • A schema of input records and its name
  • A schema of output records and its name
  • The SQL query used to filter and project
  • The output filename
  • The output directory

The first two are straightforward:

<property>
    <name>apex.operator.KafkaInput.prop.topics</name>
    <value>ETLTopic</value>
</property><property>
    <name>apex.operator.KafkaInput.prop.clusters</name>
    <value>localhost:9092</value>  <!-- broker (NOT zookeeper) address -->
</property> 

The topics property of the KafkaInput operator defines the topic for input records, and the clusters property defines the address and port of the Kafka broker (it is important to ensure that this is the address and port of the actual broker and not of the ZooKeeper...