Book Image

In-Memory Analytics with Apache Arrow

By : Matthew Topol
Book Image

In-Memory Analytics with Apache Arrow

By: Matthew Topol

Overview of this book

Apache Arrow is designed to accelerate analytics and allow the exchange of data across big data systems easily. In-Memory Analytics with Apache Arrow begins with a quick overview of the Apache Arrow format, before moving on to helping you to understand Arrow’s versatility and benefits as you walk through a variety of real-world use cases. You'll cover key tasks such as enhancing data science workflows with Arrow, using Arrow and Apache Parquet with Apache Spark and Jupyter for better performance and hassle-free data translation, as well as working with Perspective, an open source interactive graphical and tabular analysis tool for browsers. As you advance, you'll explore the different data interchange and storage formats and become well-versed with the relationships between Arrow, Parquet, Feather, Protobuf, Flatbuffers, JSON, and CSV. In addition to understanding the basic structure of the Arrow Flight and Flight SQL protocols, you'll learn about Dremio’s usage of Apache Arrow to enhance SQL analytics and discover how Arrow can be used in web-based browser apps. Finally, you'll get to grips with the upcoming features of Arrow to help you stay ahead of the curve. By the end of this book, you will have all the building blocks to create useful, efficient, and powerful analytical services and utilities with Apache Arrow.
Table of Contents (16 chapters)
1
Section 1: Overview of What Arrow Is, its Capabilities, Benefits, and Goals
5
Section 2: Interoperability with Arrow: pandas, Parquet, Flight, and Datasets
11
Section 3: Real-World Examples, Use Cases, and Future Development

Arrow Flight's building blocks

Because the methods and message wire format of Arrow Flight are both defined by Protocol Buffers, clients that may support gRPC and Arrow but not Flight are able to easily still interact with, and communicate with, Arrow Flight servers. There are also specific Flight implementations provided by the Apache Arrow project for some languages. These implementations include optimizations to avoid overhead, such as reducing excessive memory copying when using Protocol Buffers. Because the Protocol Buffer objects are only used for passing metadata, Flight still maintains the benefits of Arrow's IPC protocol, allowing zero-deserialization to ensure fast delivery of data.

Here are the basic types of requests that a Flight server implements:

  • Handshake: A simple request allowing for custom authentication logic and an implementation-defined session token if desired.
  • ListFlights: Gets a list of the available data streams on the server.
  • ...