Book Image

Apache Hive Cookbook

Book Image

Apache Hive Cookbook

Overview of this book

Hive was developed by Facebook and later open sourced in Apache community. Hive provides SQL like interface to run queries on Big Data frameworks. Hive provides SQL like syntax also called as HiveQL that includes all SQL capabilities like analytical functions which are the need of the hour in today’s Big Data world. This book provides you easy installation steps with different types of metastores supported by Hive. This book has simple and easy to learn recipes for configuring Hive clients and services. You would also learn different Hive optimizations including Partitions and Bucketing. The book also covers the source code explanation of latest Hive version. Hive Query Language is being used by other frameworks including spark. Towards the end you will cover integration of Hive with these frameworks.
Table of Contents (19 chapters)
Apache Hive Cookbook
Credits
About the Authors
About the Reviewer
www.PacktPub.com
Preface
Index

Showing partitions


In this recipe, you will learn how to list all the partitions in Hive.

Getting ready

This command lists all the partitions for a table. The general syntax for showing partitions is as follows:

SHOW PARTITIONS [db_name.]table_name [PARTITION(partition_spec)];

Where:

  • [db_name.]: Is an optional clause. This is used to list partitions of the table from a given database.

  • [PARTITION(partition_spec)]: Is an optional clause. This is used to list a specific partition of a table.

How to do it…

Use the following commands to show partitions in Hive:

  • The following command will list all the partitions present in the Sales table:

    Show partitions Sales;
    
  • The following command will list a specific partition of the Sales table:

    Show partitions Sales partition(dop='2015-01-01');
    
  • The following command will list a specific partition of the Sales table from the Hive_learning database:

    Show partitions Hive_learning. Sales partition(dop='2015-01-01');