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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
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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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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

Arrow format versioning and stability

To ensure confidence that updating the version of the Arrow library in use won’t break applications and the long-term stability of the Arrow project, two versions are used to describe each release of the project: the format version and the library version. Different library implementations and releases can have different versions, but they will always implement a specific format version. From version 1.0.0 onward, semantic versioning is used with releases.

Provided the major version of the format is the same between two libraries, any new library is backward-compatible with any older library with regards to being able to read data and metadata produced by an older library. Increases in the minor version of the format, such as an increase from version 1.0.0 to version 1.1.0, indicate new features that were added. So long as these new features are not used (such as new data types or physical layouts), older libraries will be able to read...

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In-Memory Analytics with Apache Arrow - Second Edition
Published in: Sep 2024
Publisher: Packt
ISBN-13: 9781835461228
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