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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 FREE CHAPTER
2. Chapter 1: Getting Started with Apache Arrow 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

The ADBC specification

You can think of ADBC as similar conceptually to ODBC/JDBC, but Arrow-native. It defines a single Client API that can be implemented by various drivers so that an application can interact with a host of different data sources in a backend-agnostic manner. Let’s take a look at Figure 8.2 again, but using ADBC instead:

Figure 8.4 – ADBC application structure

Figure 8.4 – ADBC application structure

In Figure 8.4 we have our six labeled steps again, but the work that’s involved is different and possibly optional:

  1. The application submits a query via the ADBC API.
  2. That query is then passed on to the loaded/desired ADBC driver.
  3. The driver will still translate the query if necessary and send it to the database using a database-specific protocol.
  4. The database executes the query and returns the result set in a database-specific format. This is the ideal scenario for that data to be already in the Arrow format.
  5. Only if necessary, the driver...
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