You're reading from In-Memory Analytics with Apache Arrow

Product typeBook

Published inJun 2022

PublisherPackt

ISBN-139781801071031

Edition1st Edition

Tools

Apache Camel Apache Camel

Concepts

Big Data

Author (1)

Matthew Topol

Examining Flight SQL (redux)

Way back in Chapter 8, Exploring Apache Arrow Flight RPC, we briefly touched on the topic of Arrow Flight SQL and why it was important. Very briefly. Flight SQL is still very new, and while the protocol has stabilized (for the most part), it's very much under development and there are only C++ and Java reference implementations so far. So, first, let's quickly cover the motivations for Flight SQL's development and what it is and isn't.

Why Flight SQL?

We first mentioned the Java Database Connectivity (JDBC) and Open Database Connectivity (ODBC) standards in Chapter 3, Data Science with Apache Arrow. While they have done well for decades, the standards simply don't handle columnar databases well at all. Both of these standards define APIs that are row-based. If the connected database uses a columnar representation of the data, using ODBC/JDBC will require transposing the data not once, but twice! Once for the database to provide...

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In-Memory Analytics with Apache Arrow

Published in: Jun 2022Publisher: PacktISBN-13: 9781801071031

Author (1)

Matthew Topol

Matthew Topol is an Apache Arrow contributor and a principal software architect at FactSet Research Systems, Inc. Since joining FactSet in 2009, Matt has worked in both infrastructure and application development, led development teams, and architected large-scale distributed systems for processing analytics on financial data. In his spare time, Matt likes to bash his head against a keyboard, develop and run delightfully demented games of fantasy for his victims—er—friends, and share his knowledge with anyone interested enough to listen.
Read more about Matthew Topol

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You're reading from In-Memory Analytics with Apache Arrow

Examining Flight SQL (redux)

Why Flight SQL?

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Author (1)

Et al.

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