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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

Table-stream duality

We will conclude this chapter with something that should already feel natural but is worth noting explicitly – that is, table-stream duality. We will use this concept in the next chapter, but because we have already worked with primary keys, join keys, and values, the definition naturally fits into this chapter.

We have seen two types of streams supporting deletions – upsert streams and retract streams. The main difference is that the upsert stream has an explicit primary key, while the retract stream can contain exact duplicates. Let's define a specific reduction operation for each of these streams and see what would happen if we were to apply it to these particular streams:

  • If the stream is a retract stream, then in addition, simply add the input element to a list and on retraction, find the matching element in the list and remove it.
  • If the stream is an upsert stream, keep the data in a map with a key that's the primary...
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