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Apache Hive Essentials. - Second Edition

You're reading from  Apache Hive Essentials. - Second Edition

Product type Book
Published in Jun 2018
Publisher Packt
ISBN-13 9781788995092
Pages 210 pages
Edition 2nd Edition
Languages
Author (1):
Dayong Du Dayong Du
Profile icon Dayong Du

Table of Contents (12) Chapters

Preface 1. Overview of Big Data and Hive 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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