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In-Memory Analytics with Apache Arrow

You're reading from   In-Memory Analytics with Apache Arrow Perform fast and efficient data analytics on both flat and hierarchical structured data

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Product type Paperback
Published in Jun 2022
Publisher Packt
ISBN-13 9781801071031
Length 392 pages
Edition 1st Edition
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Concepts
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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 (16) Chapters Close

Preface 1. Section 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: Data Science with Apache Arrow 5. Section 2: Interoperability with Arrow: pandas, Parquet, Flight, and Datasets
6. Chapter 4: Format and Memory Handling 7. Chapter 5: Crossing the Language Barrier with the Arrow C Data API 8. Chapter 6: Leveraging the Arrow Compute APIs 9. Chapter 7: Using the Arrow Datasets API 10. Chapter 8: Exploring Apache Arrow Flight RPC 11. Section 3: Real-World Examples, Use Cases, and Future Development
12. Chapter 9: Powered by Apache Arrow 13. Chapter 10: How to Leave Your Mark on Arrow 14. Chapter 11: Future Development and Plans 15. Other Books You May Enjoy

What is Flight SQL?

We've talked about Arrow Flight a lot in this chapter so far and learned how to create a simple Flight client and server. Back in Chapter 3, Data Science with Apache Arrow, we also talked about ODBC and JDBC as the standard way to connect to most databases currently. If you haven't guessed yet, that something better I was alluding to there was indeed Arrow Flight! Before we get into it, let's have a quick refresher on what ODBC and JDBC are.

ODBC and JDBC were created in 1992 and 1997, respectively, as a technology to help databases expose a common API. By creating a common abstraction layer that all database vendors could implement a driver for, application developers could simply build code to use this common interface with databases. They wouldn't have to create custom/bespoke objects for all the different database software they wanted to use. These technologies quickly became the de facto standard in the enterprise world, and then the...

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