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  • Book Overview & Buying Apache Hive Essentials
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Apache Hive Essentials

Apache Hive Essentials

By : Dayong Du
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Apache Hive Essentials

Apache Hive Essentials

4 (2)
By: Dayong Du

Overview of this book

If you are a data analyst, developer, or simply someone who wants to use Hive to explore and analyze data in Hadoop, this is the book for you. Whether you are new to big data or an expert, with this book, you will be able to master both the basic and the advanced features of Hive. Since Hive is an SQL-like language, some previous experience with the SQL language and databases is useful to have a better understanding of this book.
Table of Contents (12 chapters)
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Hive internal and external tables


The concept of a table in Hive is very similar to the table in the relational database. Each table associates with a directory configured in ${HIVE_HOME}/conf/hive-site.xml in HDFS. By default, it is /user/hive/warehouse in HDFS. For example, /user/hive/warehouse/employee is created by Hive in HDFS for the employee table. All the data in the table will be kept in the directory. The Hive table is also referred to as internal or managed tables.

When there is data already in HDFS, an external Hive table can be created to describe the data. It is called EXTERNAL because the data in the external table is specified in the LOCATION properties instead of the default warehouse directory. When keeping data in the internal tables, Hive fully manages the life cycle of the table and data. This means the data is removed once the internal table is dropped. If the external table is dropped, the table metadata is deleted but the data is kept. Most of the time, an external...

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Apache Hive Essentials
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