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Apache Hive Essentials

You're reading from   Apache Hive Essentials Immerse yourself on a fantastic journey to discover the attributes of big data by using Hive

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Product type Paperback
Published in Feb 2015
Publisher Packt
ISBN-13 9781783558575
Length 208 pages
Edition 1st Edition
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Tools
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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 Selection and Scope 5. Data Manipulation 6. Data Aggregation and Sampling 7. Performance Considerations 8. Extensibility Considerations 9. Security Considerations 10. Working with Other Tools Index

The Hive-integrated development environment

Besides the command-line interface, there are a few integrated development environment (IDE) tools available for Hive development. One of the best is Oracle SQL Developer, which leverages the powerful functionalities of Oracle IDE and is totally free to use. If we have to use Oracle along with Hive in a project, it is quite convenient to switch between them only from the same IDE.

Oracle SQL developer has supported Hive since version 4.0.3. Configuring it to work with Hive is quite straightforward. The following are a few steps to configure the IDE to connect to Hive:

  1. Download Hive JDBC drivers from the vendor website, such as Cloudera.
  2. Unzip the JDBC version 4 driver to a local directory.
  3. Start Oracle SQL Developer and navigate to Preferences | Database | Third Party JDBC Drivers.
  4. Add all of the JAR files contained in the unzipped directory to the Third-party JDBC Driver Path setting as follows:
    The Hive-integrated development environment

    SQL developer configuration

  5. Click on the OK button and...
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