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Apache Hive Cookbook

You're reading from   Apache Hive Cookbook

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Product type Paperback
Published in Apr 2016
Publisher Packt
ISBN-13 9781782161080
Length 268 pages
Edition 1st Edition
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Toc

Table of Contents (14) Chapters Close

Preface 1. Developing Hive 2. Services in Hive FREE CHAPTER 3. Understanding the Hive Data Model 4. Hive Data Definition Language 5. Hive Data Manipulation Language 6. Hive Extensibility Features 7. Joins and Join Optimization 8. Statistics in Hive 9. Functions in Hive 10. Hive Tuning 11. Hive Security 12. Hive Integration with Other Frameworks Index

Column statistics in Hive


Similar to table and partition statistics, Hive also supports the analysis of column statistics. The following are the statistics captured by Hive when a column or set of columns are analyzed:

  • The number of distinct values

  • The number of NULL values

  • Minimum or maximum K values where K could be given by a user

  • Histogram: frequency and height balanced

  • Average size of the column

  • Average or sum of all values in the column if their type is numerical

  • Percentiles of the value

How to do it…

As discussed in the previous recipe, Hive provides the analyze command to compute table or partition statistics. The same command could be used to compute statistics for one or more column of a Hive table or partition. The HiveQL in order to compute column statistics is as follows:

hive> ANALYZE TABLE t1 [PARTITION p1] COMPUTE STATISTICS FOR [COLUMNS c1, c2..]

Note

An analyze command does not support table or column aliases.

In the following example, the use of the analyze command is illustrated...

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