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Apache Hive Essentials. - Second Edition

You're reading from  Apache Hive Essentials. - Second Edition

Product type Book
Published in Jun 2018
Publisher Packt
ISBN-13 9781788995092
Pages 210 pages
Edition 2nd Edition
Languages
Concepts
Author (1):
Dayong Du Dayong Du
Profile icon Dayong Du
LinkedIn
Dayong Du has all his career dedicated to enterprise data and analytics for more than 10 years, especially on enterprise use case with open source big data technology, such as Hadoop, Hive, HBase, Spark, etc. Dayong is a big data practitioner as well as author and coach. He has published the 1st and 2nd edition of Apache Hive Essential and coached lots of people who are interested to learn and use big data technology. In addition, he is a seasonal blogger, contributor, and advisor for big data start-ups, co-founder of Toronto big data professional association.
See other products by Dayong Du

Table of Contents (12) Chapters

Preface Overview of Big Data and Hive Setting Up the Hive Environment Data Definition and Description Data Correlation and Scope Data Manipulation Data Aggregation and Sampling Performance Considerations Extensibility Considerations Security Considerations Working with Other Tools Other Books You May Enjoy

Enhanced aggregation

Hive offers enhanced aggregation by using the GROUPING SETS, CUBE, and ROLLUP keywords.

Grouping sets

GROUPING SETS implements advanced multiple GROUP BY operations against the same set of data. Actually, GROUPING SETS are a shorthand way of connecting several GROUP BY result sets with UNION ALL. The GROUPING SETS keyword completes all processes in a single stage of the job, which is more efficient. A blank set () in the GROUPING SETS clause calculates the overall aggregation. The following are a few examples to show the equivalence of GROUPING SETS. For better understanding, we can say that the outer level (brace) of GROUPING SETS defines what data UNION ALL is to be implemented. The inner level (brace...

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Authors (1)

Profile icon Dayong Du
LinkedIn
Dayong Du has all his career dedicated to enterprise data and analytics for more than 10 years, especially on enterprise use case with open source big data technology, such as Hadoop, Hive, HBase, Spark, etc. Dayong is a big data practitioner as well as author and coach. He has published the 1st and 2nd edition of Apache Hive Essential and coached lots of people who are interested to learn and use big data technology. In addition, he is a seasonal blogger, contributor, and advisor for big data start-ups, co-founder of Toronto big data professional association.
Read more
See other products by Dayong Du

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