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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

Using Flight, choose your language!

All three of the languages we’ve been using in this book, Python, C++, and Go, provide implementations of Arrow Flight servers and clients. The examples we’re going to walk through here are a great way to flex your chops on the different languages and see the similarities and differences between the different languages and the interfaces of their implementations. The Arrow project takes advantage of this interoperability between languages for Flight to run automated integration tests between the different language libraries and ensure that they are all compatible with each other.

So, let’s get right down to it and have some fun!

Building a Python Flight server

The flight module of the PyArrow library provides a base implementation of a Flight server; all that needs to be done is to override the functions for the desired Flight RPC methods you want to implement on your server, and away you go. Let’s give it a shot...

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