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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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Concepts
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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

Data exchange with [EX|IM]PORT

When working on data migration or release deployment, we may need to move data between different environments or clusters. In HQL, EXPORT and IMPORT statements are available to move data between HDFS in different environments or clusters. The EXPORT statement exports both data and metadata from a table or partition. Metadata is exported in a file called _metadata. Data is exported in a subdirectory called data, as follows:

> EXPORT TABLE employee TO '/tmp/output5';
No rows affected (0.19 seconds)

> dfs -ls -R /tmp/output5/;
+--------------------------------+
| DFS Output |
+--------------------------------+
| ... /tmp/output5/_metadata |
| ... /tmp/output5/data |
| ... /tmp/output5/data/000000_0 |
+--------------------------------+
3 rows selected (0.014 seconds)
For EXPORT, the database name can be used...
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