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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

Elasticity

As described in the preceding section, the number of desired partitions of each operator that is likely to be a bottleneck can be specified as part of the application configuration and the platform will ensure that the desired partitions are created at application start time. However, this is not possible when the volume of data flows can fluctuate unpredictably since we cannot forecast the number of required partitions.

The platform has the required elasticity to support such scenarios via dynamic scaling: the application writer can implement the Partitioner interface along with the related StatsListener interface, either directly in the operator or in a separate object that is set on the operator as an attribute. These interfaces allow the operator to periodically examine current metrics such as throughput, latency, or even custom metrics, and, based on those...

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