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In-Memory Analytics with Apache Arrow

You're reading from   In-Memory Analytics with Apache Arrow Accelerate data analytics for efficient processing of flat and hierarchical data structures

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Product type Paperback
Published in Sep 2024
Publisher Packt
ISBN-13 9781835461228
Length 406 pages
Edition 2nd Edition
Languages
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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 (18) Chapters Close

Preface 1. Part 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: Format and Memory Handling 5. Part 2: Interoperability with Arrow: The Power of Open Standards
6. Chapter 4: Crossing the Language Barrier with the Arrow C Data API 7. Chapter 5: Acero: A Streaming Arrow Execution Engine 8. Chapter 6: Using the Arrow Datasets API 9. Chapter 7: Exploring Apache Arrow Flight RPC 10. Chapter 8: Understanding Arrow Database Connectivity (ADBC) 11. Chapter 9: Using Arrow with Machine Learning Workflows 12. Part 3: Real-World Examples, Use Cases, and Future Development
13. Chapter 10: Powered by Apache Arrow 14. Chapter 11: How to Leave Your Mark on Arrow 15. Chapter 12: Future Development and Plans 16. Index 17. Other Books You May Enjoy

Learning the terminology and physical memory layout

As mentioned previously, the Arrow columnar format specification includes definitions of the in-memory data structures, metadata serialization, and protocols for data transportation. The format itself has a few key promises:

  • Data adjacency for sequential access
  • O(1) (constant time) random access
  • SIMD and vectorization-friendly
  • Relocatable, allowing for zero-copy access in shared memory

To ensure we’re all on the same page, here’s a quick glossary of terms that are used throughout the format specification and the rest of this book:

  • Array: A list of values with a known length of the same type.
  • Slot: The value in an array identified by a specific index.
  • Buffer/contiguous memory region: A single contiguous block of memory with a given length.
  • Physical layout: The underlying memory layout for an array without accounting for the interpretation of the logical value. For example...
You have been reading a chapter from
In-Memory Analytics with Apache Arrow - Second Edition
Published in: Sep 2024
Publisher: Packt
ISBN-13: 9781835461228
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