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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

Summary


In this chapter, we first covered how to identify performance bottlenecks using the EXPLAIN and ANALYZE statements. Then, we spoke about the design optimization for performance when using tables, partition, and index. We also covered the data file optimization including file format, compression, and storage. At the end of this chapter, we discussed job and query optimization in Hive. After going through this chapter, we should be able to do performance troubleshooting and tuning in Hive.

In the next chapter, we'll talk about function extensions for Hive.

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