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

Product typeBook
Published inJun 2018
Reading LevelIntermediate
PublisherPackt
ISBN-139781788995092
Edition2nd Edition
Languages
Java
Tools
Hive
Concepts
Data Analysis
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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.
Read more about Dayong Du

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Database

The database in Hive describes a collection of tables that are used for a similar purpose or belong to the same groups. If the database is not specified, the default database is used and uses /user/hive/warehouse in HDFS as its root directory. This path is configurable by the hive.metastore.warehouse.dir property in hive-site.xml. Whenever a new database is created, Hive creates a new directory for each database under /user/hive/warehouse. For example, the myhivebook database is located at /user/hive/datawarehouse/myhivebook.db. In addition, DATABASE has a name alias, SCHEMA, meaning they are the same thing in HQL. The following is the major DDL for databases operations:

  1. Create the database/schema if it doesn't exist:
      > CREATE DATABASE myhivebook;
      > CREATE SCHEMA IF NOT EXISTS myhivebook;
  1. Create the database with the location, comments, and metadata...
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Apache Hive Essentials. - Second Edition
Published in: Jun 2018Publisher: PacktISBN-13: 9781788995092
© 2018 Packt Publishing Limited All Rights Reserved

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

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