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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

Example use cases

One significant proposed benefit of having the C data API was to allow applications to implement the API without requiring a dependency on the Arrow libraries. Let’s suppose there is an existing computational engine written in C++ that wants to add the ability to return data in the Arrow format without adding a new dependency or having to link with the Arrow libraries. There are many possible reasons why you might want to avoid adding a new dependency to a project. This could range from the development environment to the complexity of deployment mechanisms, but we’re not going to focus on that side of it.

Using the C data API to export Arrow-formatted data

Do you have your development environment all set up for C++? If not, go and do that and come back. You know the drill; I’ll wait.

We’ll start with a small function to generate a vector of random 32-bit integers, which will act as our sample data. Do you know how to do that? Well...

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