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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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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

Building a cross-language compute serialization

It may surprise you to know that SQL execution engines don't actually execute SQL directly! (Or you may already know this, in which case, good job!) Under the hood of your favorite query engine, what happens is that it parses the query into some intermediate representation of the query and executes that. There are multiple reasons for this:

  • It's really hard to optimize a SQL query directly and be sure that you haven't changed the semantics of what it is doing. Translating to an intermediate representation allows for easier, programmatic optimizations that are guaranteed to be equivalent to the original query.
  • Abstracting the specific query language (ANSI SQL versus other dialects) from the execution reduces the impact that changes to the language have on the execution engine. As long as the same intermediate representation is created by the parser, it doesn't matter what changes in the query language.
  • ...
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