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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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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 ADBC for performance and adaptability

There are bindings for ADBC in a variety of languages. As we’ve done before, we’re going to focus on the C/C++, Python, and Go bindings for our examples. If you’re also interested in the C#, Java, or R bindings, you can find installation instructions and examples in the ADBC documentation: https://arrow.apache.org/adbc/.

ADBC with C/C++

We’ll start by using C/C++ to leverage ADBC, so we need to install some packages. If you want to build everything from source, you can always pull down the GitHub repository at https://github.com/apache/arrow-adbc. But for our purposes, you’ve got a few options regarding how to install the packages if you don’t want to build this from source.

The simplest route is to use conda/mamba to install the individual packages. For Windows users, this is likely the easiest route:

$ mamba install libadbc-driver-flightsql
$ mamba install libadbc-driver-postgresql
...
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