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In-Memory Analytics with Apache Arrow

You're reading from   In-Memory Analytics with Apache Arrow Perform fast and efficient data analytics on both flat and hierarchical structured data

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Product type Paperback
Published in Jun 2022
Publisher Packt
ISBN-13 9781801071031
Length 392 pages
Edition 1st Edition
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Concepts
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Author (1):
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Matthew Topol Matthew Topol
Author Profile Icon Matthew Topol
Matthew Topol
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Toc

Table of Contents (16) Chapters Close

Preface 1. Section 1: Overview of What Arrow Is, its Capabilities, Benefits, and Goals
2. Chapter 1: Getting Started with Apache Arrow FREE CHAPTER 3. Chapter 2: Working with Key Arrow Specifications 4. Chapter 3: Data Science with Apache Arrow 5. Section 2: Interoperability with Arrow: pandas, Parquet, Flight, and Datasets
6. Chapter 4: Format and Memory Handling 7. Chapter 5: Crossing the Language Barrier with the Arrow C Data API 8. Chapter 6: Leveraging the Arrow Compute APIs 9. Chapter 7: Using the Arrow Datasets API 10. Chapter 8: Exploring Apache Arrow Flight RPC 11. Section 3: Real-World Examples, Use Cases, and Future Development
12. Chapter 9: Powered by Apache Arrow 13. Chapter 10: How to Leave Your Mark on Arrow 14. Chapter 11: Future Development and Plans 15. Other Books You May Enjoy

Passing your Arrows around

Since Arrow is designed to be easily passable between processes, regardless of whether they are locally on the same machine or not, the interfaces for passing around record batches are referred to as IPC libraries for Arrow. If the processes happen to be on the same machine, then it's possible to share your data without performing any copies at all!

What is this sorcery?!

First things first. There are two types of binary formats defined for sharing record batches between processes—a streaming format and a random access format, as outlined in more detail here:

  • The streaming format exists for sending a sequence of record batches of an arbitrary length. It must be processed from start to end; you can't get random access to a particular record batch in the stream without processing all of the ones before it.
  • The random access—or file—format is for sharing a known number of record batches. Because it supports random...
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