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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

ORDER and SORT


Another aspect to manipulate data in Hive is to properly order or sort the data or result sets to clearly identify the important facts, such as top N values, maximum, minimum, and so on.

There are the following keywords used in Hive to order and sort data:

  • ORDER BY (ASC|DESC): This is similar to the RDBMS ORDER BY statement. A sorted order is maintained across all of the output from every reducer. It performs the global sort using only one reducer, so it takes a longer time to return the result. Usage with LIMIT is strongly recommended for ORDER BY. When hive.mapred.mode = strict (by default, hive.mapred.mode = nonstrict) is set and we do not specify LIMIT, there are exceptions. This can be used as follows:

    jdbc:hive2://> SELECT name FROM employee ORDER BY NAME DESC;
    +----------+
    |   name   |
    +----------+
    | Will     |
    | Shelley  |
    | Michael  |
    | Lucy     |
    +----------+
    4 rows selected (57.057 seconds)
    
  • SORT BY (ASC|DESC): This indicates which columns to sort when ordering...

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