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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

Performance utilities


Hive provides the EXPLAIN and ANALYZE statements that can be used as utilities to check and identify the performance of queries.

The EXPLAIN statement

Hive provides an EXPLAIN command to return a query execution plan without running the query. We can use an EXPLAIN command for queries if we have a doubt or a concern about performance. The EXPLAIN command will help to see the difference between two or more queries for the same purpose. The syntax for EXPLAIN is as follows:

EXPLAIN [EXTENDED|DEPENDENCY|AUTHORIZATION] hive_query

The following keywords can be used:

  • EXTENDED: This provides additional information for the operators in the plan, such as file pathname and abstract syntax tree.

  • DEPENDENCY: This provides a JSON format output that contains a list of tables and partitions that the query depends on. It is available since HIVE 0.10.0.

  • AUTHORIZATION: This lists all entities needed to be authorized including input and output to run the Hive query and authorization failures...

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