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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

Chapter 8: Understanding How Runners Execute Pipelines

So far in this book, we have focused on Apache Beam from the user's perspective. We have seen how to code pipelines in the Java Software Development Kit (SDK), how to use Domain-Specific Languages (DSLs) such as SQL, and how to use portability with the Python SDK. In this chapter, we will focus on how the runner executes the pipeline. This will help us if we want to develop a runner for a new technology, debug our code, or improve performance issues.

We will not try to implement our own runner in this chapter. Instead, we will focus on the theoretical concepts that underpin runners. We will explore the building blocks of a typical runner, and this will help us understand how a runner executes our user code.

After describing how runners implement the Beam model, we will conclude this chapter with an in-depth description of window semantics and using metrics for observability. Improving observability is key when attempting...

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