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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

Invoking functions

The Arrow compute library has a global FunctionRegistry object, which allows looking up functions by name and listing what is available to call. The list of available compute functions can also be found in the Arrow documentation at https://arrow.apache.org/docs/cpp/compute.html#available-functions. Let’s see how to execute these functions now!

Using the C++ compute library

The compute library is managed as a separate module in the base Arrow package. If you’ve compiled the library yourself from the source, make sure that you’ve used the ARROW_COMPUTE=ON option during configuration.

Note

There are two libraries that are involved here: Arrow Compute and Acero. The compute functions, function registry, and expression classes all exist in the compute library, while Acero holds the implementation of the execution plan and exec nodes.

Example 1 – adding a scalar value to an array

Our first example is going to be a simple sc...

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