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You're reading from  Apache Hive Essentials

Product typeBook
Published inFeb 2015
Reading LevelIntermediate
PublisherPackt
ISBN-139781783558575
Edition1st Edition
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Author (1)
Dayong Du
Dayong Du
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Dayong Du

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.
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Analytic functions


Analytic functions, available since Hive 0.11.0, are a special group of functions that scan the multiple input rows to compute each output value. Analytic functions are usually used with OVER, PARTITION BY, ORDER BY, and the windowing specification. Different from the regular aggregate functions used with the GROUP BY clause that is limited to one result value per group, analytic functions operate on windows where the input rows are ordered and grouped using flexible conditions expressed through an OVER PARTITION clause. Though analytic functions give aggregate results, they do not group the result set. They return the group value multiple times with each record. The analytic functions offer great flexibility and functionalities than the regular GROUP BY clause and make special aggregations in Hive easier and powerful. The syntax for the analyze function is as follows:

Function (arg1,..., argn) OVER ([PARTITION BY <...>] [ORDER BY <....>] [<window_clause...
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Apache Hive Essentials
Published in: Feb 2015Publisher: PacktISBN-13: 9781783558575

Author (1)

author image
Dayong Du

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 about Dayong Du