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Learning Apache Apex

You're reading from   Learning Apache Apex Real-time streaming applications with Apex

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Product type Paperback
Published in Nov 2017
Publisher
ISBN-13 9781788296403
Length 290 pages
Edition 1st Edition
Languages
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Authors (5):
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Munagala V. Ramanath Munagala V. Ramanath
Author Profile Icon Munagala V. Ramanath
Munagala V. Ramanath
David Yan David Yan
Author Profile Icon David Yan
David Yan
Ananth Gundabattula Ananth Gundabattula
Author Profile Icon Ananth Gundabattula
Ananth Gundabattula
Thomas Weise Thomas Weise
Author Profile Icon Thomas Weise
Thomas Weise
Kenneth Knowles Kenneth Knowles
Author Profile Icon Kenneth Knowles
Kenneth Knowles
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Toc

Table of Contents (11) Chapters Close

Preface 1. Introduction to Apex FREE CHAPTER 2. Getting Started with Application Development 3. The Apex Library 4. Scalability, Low Latency, and Performance 5. Fault Tolerance and Reliability 6. Example Project – Real-Time Aggregation and Visualization 7. Example Project – Real-Time Ride Service Data Processing 8. Example Project – ETL Using SQL 9. Introduction to Apache Beam 10. The Future of Stream Processing

Serving the data with WebSocket


We have just finished the aggregation of real-time ride data, and now we have the dollar amount for each zip code with sliding data in real time. We have to make use of this data in real time as well. Let's do that!

NycTaxiDataServer is an operator that listens to the triggers from the aforementioned WindowedOperator. It also listens for incoming query messages via WebSocket, processes the queries according to the real-time state, and sends back the results, again via WebSocket.

In order to do that, NycTaxiDataServer extends from the AbstractAppDataServer class, which provides the embedded query listening capability. This allows an input operator to be embedded in the operator so that message from the input operator can be sent immediately to the operator. If the input operator is part of the pipeline, the messages from the input operator could be delayed due to lag of the rest of the pipeline.

Note that the triggers from the upstream WindowedOperator are sent...

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