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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

Querying multifile datasets

Note

While this section details the Datasets API in the Arrow libraries, it's important to note that this API is still considered experimental as of the time of writing. As a result, the APIs described are not yet guaranteed to be stable between version upgrades of Arrow and may change in some ways. Always check the documentation for the version of Arrow you're using. That said, the API is unlikely to change drastically unless requested by users, so it's being included due to its extreme utility.

To facilitate the very quick querying of data, modern datasets are often partitioned into multiple files across multiple directories. Many engines and utilities take advantage of this or read and write data in this format, such as Apache Hive, Dremio Sonar, Presto, and many AWS services. The Arrow datasets library provides functionality as a library for working with these sorts of tabular datasets, such as the following:

  • Providing a...
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