Hive first started with hiveserver1. However, this version of Hive server was not very stable. It sometimes suspended or blocked the client's connection quietly. Since v0.11.0, Hive has included a new thrift server called hivesever2 to replace hiveserver1. hiveserver2 has an enhanced server designed for multiple client concurrency and improved authentication. It also recommends using beeline as the major Hive command-line interface instead of the hive command. The primary difference between the two versions of servers is how the clients connect to them. hive is an Apache-Thrift-based client, and beeline is a JDBC client. The hive command directly connects to the Hive drivers, so we need to install the Hive library on the client. However, beeline connects to hiveserver2 through JDBC connections without installing Hive libraries on the client. That means...
Apache Hive Essentials. - Second Edition
By :
Apache Hive Essentials. - Second Edition
By:
Overview of this book
In this book, we prepare you for your journey into big data by frstly introducing you to backgrounds in the big data domain, alongwith the process of setting up and getting familiar with your Hive working environment.
Next, the book guides you through discovering and transforming the values of big data with the help of examples. It also hones your skills in using the Hive language in an effcient manner. Toward the end, the book focuses on advanced topics, such as performance, security, and extensions in Hive, which will guide you on exciting adventures on this worthwhile big data journey.
By the end of the book, you will be familiar with Hive and able to work effeciently to find solutions to big data problems
Table of Contents (12 chapters)
Preface
Free Chapter
Overview of Big Data and Hive
Setting Up the Hive Environment
Data Definition and Description
Data Correlation and Scope
Data Manipulation
Data Aggregation and Sampling
Performance Considerations
Extensibility Considerations
Security Considerations
Working with Other Tools
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