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Apache Hive Essentials

You're reading from   Apache Hive Essentials Essential techniques to help you process, and get unique insights from, big data

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Product type Paperback
Published in Jun 2018
Publisher Packt
ISBN-13 9781788995092
Length 210 pages
Edition 2nd Edition
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Concepts
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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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Toc

Table of Contents (12) Chapters Close

Preface 1. Overview of Big Data and Hive FREE CHAPTER 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

Summary

In this chapter, we covered how to exchange data between tables and files using the LOAD, INSERT, IMPORT, and EXPORT keywords. Then, we introduced the different data ordering and sorting options. We also covered some commonly used tips on using functions. Finally, we provided an overview of row-level transactions, DELETE, UPDATE, MERGE, and locks. After going through this chapter, we should be able to import or export data with HQL. We should be experienced in using different types of data sorting keywords, functions, and transaction statements.

In the next chapter, we'll look at the different ways of carrying out data aggregations and sampling in HQL.

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