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

Partitioning an external table


Partitioning external tables works in the same way as in managed tables. Except this in the external table, when you delete a partition, the data file doesn't get deleted.

How to do it…

First create an EXTERNAL table for the customer data using the following command:

CREATE EXTERNAL TABLE customer_external(id STRING, name STRING, gender STRING, state STRING) PARTITIONED BY (country STRING);

Now a partition can be added to the EXTERNAL table, using the ALTER TABLE ADD PARTITION command:

ALTER TABLE customer_external ADD PARTITION(country='UK') LOCATION '/user/hive/warehouse/customer/country=UK'