Download e-book for iPad: Apache Hive Essentials by Dayong Du

By Dayong Du

Immerse your self on a stupendous trip to find the attributes of massive info by utilizing Hive

About This Book

  • Discover how Hive can coexist and paintings with different instruments within the Hadoop surroundings to create giant facts solutions
  • Grasp the abilities wanted, study the easiest practices, and keep away from the pitfalls in writing effective Hive queries to investigate the massive data
  • Create an atmosphere to research giant info utilizing functional, example-oriented scenarios

Who This ebook Is For

If you're a facts analyst, developer, or just somebody who desires to use Hive to discover and learn information in Hadoop, this can be the publication for you. no matter if you're new to special information or a professional, with this booklet, it is possible for you to to grasp either the fundamental and the complex beneficial properties of Hive. given that Hive is an SQL-like language, a few prior event with the SQL language and databases comes in handy to have a greater realizing of this book.

What you are going to Learn

  • Create and manage the Hive environment
  • Discover how you can use Hive's definition language to explain data
  • Discover attention-grabbing info through becoming a member of and filtering datasets in Hive
  • Transform info through the use of Hive sorting, ordering, and functions
  • Aggregate and pattern information in numerous ways
  • Boost Hive question functionality and improve information safeguard in Hive
  • Customize Hive on your wishes through the use of user-defined services and combine it with different tools

In Detail

In this e-book, we arrange you on your trip into mammoth info via to begin with introducing you to backgrounds within the large info area in addition to the method of establishing and getting conversant in your Hive operating setting. subsequent, the e-book courses you thru researching and reworking the values of massive information with assistance from examples. It additionally hones your ability in utilizing the Hive language in an effective demeanour. in the direction of the tip, the e-book makes a speciality of complicated themes comparable to functionality, protection, and extensions in Hive, in order to advisor you on intriguing adventures in this priceless large facts journey.

By the top of the publication, you can be acquainted with Hive and ready to paintings successfully to discover suggestions to special information problems.

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Additional resources for Apache Hive Essentials

Sample text

String and integer are the most useful primitive types, which are supported by most Hive functions. com for all the Packt Publishing books you have purchased. com/support and register to have the files e-mailed directly to you The details of primitive types are as follows: Primitive data type Description Example TINYINT It has 1 byte from -128 to 127. The postfix is Y. It is used as a small range of numbers. 10Y SMALLINT It has 2 bytes from -32,768 to 32,767. The postfix is S. It is used as a regular descriptive number.

Com/) as the metadata store. ConnectionPassword hive password to use against metastore database Make sure the MySQL JDBC driver is available at $HIVE_HOME/lib. Note The differences between an embed Derby database and an external database is that an external database offers a shared service so that users can share the metadata of Hive. However, an embed database is only visible to the local users. 1$ hdfs dfs -chmod g+w /user/hive/warehouse That's all about Apache Hive installation.

Org/confluence/display/Hive/Configuration+Properties. The Hive-integrated development environment Besides the command-line interface, there are a few integrated development environment (IDE) tools available for Hive development. One of the best is Oracle SQL Developer, which leverages the powerful functionalities of Oracle IDE and is totally free to use. If we have to use Oracle along with Hive in a project, it is quite convenient to switch between them only from the same IDE. 3. Configuring it to work with Hive is quite straightforward.

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