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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

Transformations

So far, we have looked at the operators that connect Apex pipelines to the outside world, to read data from messaging systems, files, and other sources and to write results to various destinations. We have seen that the Apex library has comprehensive support to integrate various external systems with feature rich connectors.

Now it is time to look at the support available for the actual functionality of the pipeline. These building blocks are transformations: their purpose is to modify or accumulate the tuples that flow through the processing pipeline. Examples of typical transformations are parsing, filtering, aggregation by key, and join:

The preceding diagram categorizes transformations into those that are applied to individual tuples and those that aggregate tuples based on keys and windows. Often, per tuple transforms are stateless and windowed transforms...

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