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Building Big Data Pipelines with Apache Beam

You're reading from   Building Big Data Pipelines with Apache Beam Use a single programming model for both batch and stream data processing

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Product type Paperback
Published in Jan 2022
Publisher Packt
ISBN-13 9781800564930
Length 342 pages
Edition 1st Edition
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Author (1):
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Jan Lukavský Jan Lukavský
Author Profile Icon Jan Lukavský
Jan Lukavský
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Table of Contents (13) Chapters Close

Preface 1. Section 1 Apache Beam: Essentials
2. Chapter 1: Introduction to Data Processing with Apache Beam FREE CHAPTER 3. Chapter 2: Implementing, Testing, and Deploying Basic Pipelines 4. Chapter 3: Implementing Pipelines Using Stateful Processing 5. Section 2 Apache Beam: Toward Improving Usability
6. Chapter 4: Structuring Code for Reusability 7. Chapter 5: Using SQL for Pipeline Implementation 8. Chapter 6: Using Your Preferred Language with Portability 9. Section 3 Apache Beam: Advanced Concepts
10. Chapter 7: Extending Apache Beam's I/O Connectors 11. Chapter 8: Understanding How Runners Execute Pipelines 12. Other Books You May Enjoy

Introducing and using cross-language pipelines

Cross-language pipelines are a natural concept that comes with Beam's portability. Every executed PTransform in a pipeline has an associated environment. This environment describes how (DOCKER, EXTERNAL, PROCESS) and what (the Python SDK, Java SDK, Go SDK, and so on) should be executed by the Runner so that the pipeline behaves as intended by the pipeline author. Most of the time, all PTransforms in a single pipeline share the same SDK and the same environment. This doesn't necessarily have to be a rule and – when we view this via the optics of the Runner only, the Runner does not care if it executes a Python transform or a Java transform. The Runner code is already written in an (SDK) language-agnostic way, so it should not make any difference.

The first thing we must understand is how is the portable pipeline is represented. When an SDK builds and starts to execute a pipeline, it first compiles it into a portable...

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