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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

Picking the right tools

The Arrow compute libraries provide an extremely easy-to-use interface, but what about performance? Do they exist just for ease of use? Let’s try it out and compare!

Adding a constant value to an array

For our first test, let’s try adding a constant value to a sample array we construct. It doesn’t need to be anything extravagant, so we can create a simple 32-bit integer Arrow array and then add 2 to each element and create a new array. We’re going to create arrays of various sizes and then see how long it takes to add a constant value of 2 to the Arrow array using different methods.

Remember!

Semantically, an Arrow array is supposed to be immutable, so adding a constant produces a new array. This property of immutability is often used to create optimizations and reusability of memory depending on the particular Arrow implementation. While it is possible to potentially achieve greater performance by modifying a buffer in...

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