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OReilly.Getting.Started.with.Impala.2014.9.pdf
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OReilly.Getting.Started.with.Impala.2014.9.pdf
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John Russell
INTERACTIVE SQL FOR APACHE HADOOP
Getting Started with
Impala
John Russell
Getting Started with Impala
Boston Farnham Sebastopol
Tokyo
Beijing Boston Farnham Sebastopol
Tokyo
Beijing
978-1-491-90577-7
[LSI]
Getting Started with Impala
by John Russell
Copyright © 2016 Cloudera, Inc. All rights reserved.
Printed in the United States of America.
Published by O’Reilly Media, Inc., 1005 Gravenstein Highway North, Sebastopol, CA 95472.
O’Reilly books may be purchased for educational, business, or sales promotional use. Online editions are
also available for most titles (http://safaribooksonline.com). For more information, contact our corporate/
institutional sales department: 800-998-9938 or corporate@oreilly.com.
Editor: Marie Beaugureau
Production Editor: Kristen Brown
Copyeditor: Gillian McGarvey
Proofreader: Linley Dolby
Interior Designer: David Futato
Cover Designer: Ellie Volkhausen
Illustrator: Rebecca Demarest
October 2014: First Edition
Revision History for the First Edition
2014-09-19: First Release
2016-04-25: Second Release
See http://oreilly.com/catalog/errata.csp?isbn=9781491905777 for release details.
The O’Reilly logo is a registered trademark of O’Reilly Media, Inc. Getting Started with Impala, the cover
image, and related trade dress are trademarks of O’Reilly Media, Inc.
While the publisher and the author have used good faith efforts to ensure that the information and
instructions contained in this work are accurate, the publisher and the author disclaim all responsibility
for errors or omissions, including without limitation responsibility for damages resulting from the use of
or reliance on this work. Use of the information and instructions contained in this work is at your own
risk. If any code samples or other technology this work contains or describes is subject to open source
licenses or the intellectual property rights of others, it is your responsibility to ensure that your use
thereof complies with such licenses and/or rights.
Table of Contents
Introduction. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . vii
1.
Why Impala?. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1
Impala’s Place in the Big Data Ecosystem 1
Flexibility for Your Big Data Workflow 2
High-Performance Analytics 3
Exploratory Business Intelligence 3
2.
Getting Up and Running with Impala. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5
Installation 5
Connecting to Impala 6
Your First Impala Queries 7
3.
Impala for the Database Developer. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 11
The SQL Language 11
Standard SQL for Queries 12
Limited DML 12
No Transactions 13
Numbers 13
Recent Additions 14
Big Data Considerations 15
Billions and Billions of Rows 15
HDFS Block Size 17
Parquet Files: The Biggest Blocks of All 17
How Impala Is Like a Data Warehouse 18
Physical and Logical Data Layouts 19
The HDFS Storage Model 19
Distributed Queries 20
iii
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