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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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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 2. Setting Up the Hive Environment FREE CHAPTER 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

Data exchange – INSERT

To extract the data from Hive tables/ partitions, we can use the INSERT keyword. Like RDBMS, Hive supports inserting data by selecting data from other tables. This is a very common way to populate a table from existing data. The basic INSERT statement has the same syntax as a relational database's INSERT. However, Hive has improved its INSERT statement by supporting OVERWRITE, multiple INSERT, dynamic partition INSERT, as well as using INSERT to files. The following are a few examples:

  • The following is a regular INSERT from the SELECT statement:
    --Check the target table, which is empty.
    jdbc:hive2://> SELECT name, work_place, sex_age 
    . . . . . . .> FROM employee;
    +-------------+-------------------+----------------+
    |employee.name|employee.work_place|employee.sex_age|
    +-------------+-------------------+----------------+
    +-------------+-------------------+----------------+
    No rows selected (0.115 seconds)
    
    --Populate data from SELECT
    jdbc:hive2://&gt...
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