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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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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 IDE

Besides the command-line interface, there are other Integrated Development Environment (IDE) tools available to support Hive. One of the best is Oracle SQL Developer, which leverages the powerful functionalities of the Oracle IDE and is totally free to use. Since Oracle SQL Developer supports general JDBC connections, it is quite convenient to switch between Hive and other JDBC-supported databases in the same IDE. Oracle SQL Developer has supported Hive since v4.0.3. Configuring it to work with Hive is quite straightforward:

  1. Download Oracle SQL Developer (http://www.oracle.com/technetwork/developer-tools/sql-developer/downloads/index.html).
  2. Download the Hive JDBC drivers (https://www.cloudera.com/downloads/connectors/hive/jdbc.html).
  3. Unzip the driver file to a local directory.
  4. Start Oracle SQL Developer and navigate to Preferences | Database | Third Party JDBC...
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