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Apache Hive Essentials

You're reading from  Apache Hive Essentials

Product type Book
Published in Feb 2015
Publisher Packt
ISBN-13 9781783558575
Pages 208 pages
Edition 1st Edition
Languages
Author (1):
Dayong Du Dayong Du
Profile icon Dayong Du

Table of Contents (17) Chapters

Apache Hive Essentials
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
1. Overview of Big Data and Hive 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

Streaming


Hive can also leverage the streaming feature in Hadoop to transform data in an alternative way. The streaming API opens an I/O pipe to an external process (script). Then, the process reads data from the standard input and writes the results out through the standard output. In Hive, we can use TRANSFORM clauses in HQL directly, and embed the mapper and the reducer scripts written in commands, shell scripts, Java, or other programming languages. Although streaming brings overhead by using serialization/deserialization between processes, it is a simpler coding mode for developers, especially non-Java developers. The syntax of the TRANSFORM clause is as follows:

FROM (
    FROM src
    SELECT TRANSFORM '(' expression (',' expression)* ')'
    (inRowFormat)?
    USING 'map_user_script'
    (AS colName (',' colName)*)?
    (outRowFormat)? (outRecordReader)?
    (CLUSTER BY?|DISTRIBUTE BY? SORT BY?) src_alias
 )
 SELECT TRANSFORM '(' expression (',' expression)* ')'
 (inRowFormat)?
 USING...
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