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Apache Hive Essentials

You're reading from   Apache Hive Essentials Essential techniques to help you process, and get unique insights from, big data

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Product type Paperback
Published in Jun 2018
Publisher Packt
ISBN-13 9781788995092
Length 210 pages
Edition 2nd Edition
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Author (1):
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Dayong Du Dayong Du
Author Profile Icon Dayong Du
Dayong Du
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Toc

Table of Contents (12) Chapters Close

Preface 1. Overview of Big Data and Hive FREE CHAPTER 2. Setting Up the Hive Environment 3. Data Definition and Description 4. Data Correlation and Scope 5. Data Manipulation 6. Data Aggregation and Sampling 7. Performance Considerations 8. Extensibility Considerations 9. Security Considerations 10. Working with Other Tools 11. Other Books You May Enjoy

Using the Hive command

Hive first started with hiveserver1. However, this version of Hive server was not very stable. It sometimes suspended or blocked the client's connection quietly. Since v0.11.0, Hive has included a new thrift server called hivesever2 to replace hiveserver1. hiveserver2 has an enhanced server designed for multiple client concurrency and improved authentication. It also recommends using beeline as the major Hive command-line interface instead of the hive command. The primary difference between the two versions of servers is how the clients connect to them. hive is an Apache-Thrift-based client, and beeline is a JDBC client. The hive command directly connects to the Hive drivers, so we need to install the Hive library on the client. However, beeline connects to hiveserver2 through JDBC connections without installing Hive libraries on the client. That means...

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