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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

Calcite integration


For readers who are curious about how the integration with Calcite is implemented, we cover the relevant classes briefly in this section.

Calcite is a rather substantial project with a large and complex API, so in this short section we will merely touch upon its capabilities; the reader is encouraged to review the Calcite docs and source code to gain deeper insights into the API.

Here is a (very) high-level summary of how things work. After the desired custom functions and pseudo-tables are registered with the SQLExecEnvironment class (typically, in the populateDAG() method), the executeSQL() method is invoked to kick off all the hard work of parsing the SQL query, creating the necessary operators and adding them to the DAG, generating Java classes for the columns, wrapping them in a JAR file and finally adding the JAR file to the appropriate DAG attribute, so that they can be found and used at runtime. The bulk of the work starts with the RelNodeVisitor.traverse() call...

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