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

Product type Paperback

Published in Jun 2022

Publisher Packt

ISBN-13 9781801071031

Length 392 pages

Edition 1st Edition

Languages

Tools

Apache arrow

Concepts

Big Data

Author (1):

Matthew Topol

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Table of Contents (16) Chapters

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

Chapter 10: How to Leave Your Mark on Arrow

So, you've got some ideas to make Arrow better, or maybe you've found a bug. Either way, you want to communicate your needs and ideas to the Arrow project and/or you want to contribute code changes upstream. Well, this chapter is a primer on how to go about doing so. Whether this is your first contribution to an open source project or you're a seasoned veteran, we're going to cover everything you'll need to know to make some contributions. Arrow, like any open source project, lives and dies through community involvement and developer usage. The more people that get involved, the better off the project will be.

Here's what we're going to cover in this chapter:

How to interact and contribute to open source projects, specifically Apache projects
The architecture of the Arrow repository, build scripts, and automation jobs
Finding something you can contribute
The life cycle of a pull request...